international journal of recent technology and...
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ISSN 2277 - 3878Website wwwijrteorg
Technology and EngineeringTechnology and EngineeringInternational Journal of Recent International Journal of Recent
Volume-3 Issue-2 May 2014Volume-3 Issue-2 May 2014
Published by Blue Eyes Intelligence Engineering and Sciences Publication Pvt
Published by Blue Eyes Intelligence Engineering and Sciences Publication Pvt
n E d a n g i y n g e o e l r o i n n g h c e T t n e c e R I n f t o e l r na n at r i u o o n J l a
IjrteIjrte
Exploring Innovation
wwwijrteorg
EXPLORING INNOVA
TION
Editor In Chief
Dr Shiv K Sahu
PhD (CSE) MTech (IT Honors) BTech (IT)
Director Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd Bhopal (MP) India
Dr Shachi Sahu
PhD (Chemistry) MSc (Organic Chemistry)
Additional Director Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd Bhopal (MP) India
Vice Editor In Chief
Dr Vahid Nourani
Professor Faculty of Civil Engineering University of Tabriz Iran
Prof(Dr) Anuranjan Misra
Professor amp Head Computer Science amp Engineering and Information Technology amp Engineering Noida International University
Noida (UP) India
Chief Advisory Board
Prof (Dr) Hamid Saremi
Vice Chancellor of Islamic Azad University of Iran Quchan Branch Quchan-Iran
Dr Uma Shanker
Professor amp Head Department of Mathematics CEC Bilaspur(CG) India
Dr Rama Shanker
Professor amp Head Department of Statistics Eritrea Institute of Technology Asmara Eritrea
Dr Vinita Kumari
Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd India
Dr Kapil Kumar Bansal
Head (Research and Publication) SRM University Gaziabad (UP) India
Dr Deepak Garg
Professor Department of Computer Science and Engineering Thapar University Patiala (Punjab) India Senior Member of IEEE
Secretary of IEEE Computer Society (Delhi Section) Life Member of Computer Society of India (CSI) Indian Society of Technical
Education (ISTE) Indian Science Congress Association Kolkata
Dr Vijay Anant Athavale
Director of SVS Group of Institutions Mawana Meerut (UP) India UP Technical University India
Dr TC Manjunath
Principal amp Professor HKBK College of Engg Nagawara Arabic College Road Bengaluru-560045 Karnataka India
Dr Kosta Yogeshwar Prasad
Director Technical Campus Marwadi Education Foundationrsquos Group of Institutions Rajkot-Morbi Highway Gauridad Rajkot
Gujarat India
Dr Dinesh Varshney
Director of College Development Counceling Devi Ahilya University Indore (MP) Professor School of Physics Devi Ahilya
University Indore (MP) and Regional Director Madhya Pradesh Bhoj (Open) University Indore (MP) India
Dr P Dananjayan
Professor Department of Department of ECE Pondicherry Engineering College PondicherryIndia
Dr Sadhana Vishwakarma
Associate Professor Department of Engineering Chemistry Technocrat Institute of Technology Bhopal(MP) India
Dr Kamal Mehta
Associate Professor Deptment of Computer Engineering Institute of Technology NIRMA University Ahmedabad (Gujarat) India
Dr CheeFai Tan
Faculty of Mechanical Engineering University Technical Malaysia Melaka Malaysia
Dr Suresh Babu Perli
Professoramp Head Department of Electrical and Electronic Engineering Narasaraopeta Engineering College Guntur AP India
Dr Binod Kumar
Associate Professor Schhool of Engineering and Computer Technology Faculty of Integrative Sciences and Technology Quest
International University Ipoh Perak Malaysia
Dr Chiladze George
Professor Faculty of Law Akhaltsikhe State University Tbilisi University Georgia
Dr Kavita Khare
Professor Department of Electronics amp Communication Engineering MANIT Bhopal (MP) INDIA
Dr C Saravanan
Associate Professor (System Manager) amp Head Computer Center NIT Durgapur WB India
Dr S Saravanan
Professor Department of Electrical and Electronics Engineering Muthayamal Engineering College Resipuram Tamilnadu India
Dr Amit Kumar Garg
Professor amp Head Department of Electronics and Communication Engineering Maharishi Markandeshwar University Mulllana
Ambala (Haryana) India
Dr TCManjunath
Principal amp Professor HKBK College of Engg Nagawara Arabic College Road Bengaluru-560045 Karnataka India
Dr P Dananjayan
Professor Department of Department of ECE Pondicherry Engineering College Pondicherry India
Dr Kamal K Mehta
Associate Professor Department of Computer Engineering Institute of Technology NIRMA University Ahmedabad (Gujarat) India
Dr Rajiv Srivastava
Director Department of Computer Science amp Engineering Sagar Institute of Research amp Technology Bhopal (MP) India
Dr Chakunta Venkata Guru Rao
Professor Department of Computer Science amp Engineering SR Engineering College Ananthasagar Warangal Andhra Pradesh India
Dr Anuranjan Misra
Professor Department of Computer Science amp Engineering Bhagwant Institute of Technology NH-24 Jindal Nagar Ghaziabad
India
Dr Robert Brian Smith
International Development Assistance Consultant Department of AEC Consultants Pty Ltd AEC Consultants Pty Ltd Macquarie
Centre North Ryde New South Wales Australia
Dr Saber Mohamed Abd-Allah
Associate Professor Department of Biochemistry Shanghai Institute of Biochemistry and Cell Biology Yue Yang Road Shanghai
China
Dr Himani Sharma
Professor amp Dean Department of Electronics amp Communication Engineering MLR Institute of Technology Laxman Reddy Avenue
Dundigal Hyderabad India
Dr Sahab Singh
Associate Professor Department of Management Studies Dronacharya Group of Institutions Knowledge Park-III Greater Noida
India
Dr Umesh Kumar
Principal Govt Women Poly Ranchi India
Dr Syed Zaheer Hasan
Scientist-G Petroleum Research Wing Gujarat Energy Research and Management Institute Energy Building Pandit Deendayal
Petroleum University Campus Raisan Gandhinagar-382007 Gujarat India
Dr Jaswant Singh Bhomrah
Director Department of Profit Oriented Technique 1 ndash B Crystal Gold Vijalpore Road Navsari 396445 Gujarat India
Technical Advisory Board
Dr Mohd Husain
Director MG Institute of Management amp Technology Banthara Lucknow (UP) India
Dr T Jayanthy
Principal Panimalar Institute of Technology Chennai (TN) India
Dr Umesh AS
Director Technocrats Institute of Technology amp Science Bhopal(MP) India
Dr B Kanagasabapathi
Infosys Labs Infosys Limited Center for Advance Modeling and Simulation Infosys Labs Infosys Limited Electronics City
Bangalore India
Dr CB Gupta
Professor Department of Mathematics Birla Institute of Technology amp Sciences Pilani (Rajasthan) India
Dr Sunandan Bhunia
Associate Professor amp Head Dept of Electronics amp Communication Engineering Haldia Institute of Technology Haldia West
Bengal India
Dr Jaydeb Bhaumik
Associate Professor Dept of Electronics amp Communication Engineering Haldia Institute of Technology Haldia West Bengal India
Dr Rajesh Das
Associate Professor School of Applied Sciences Haldia Institute of Technology Haldia West Bengal India
Dr Mrutyunjaya Panda
Professor amp Head Department of EEE Gandhi Institute for Technological Development Bhubaneswar Odisha India
Dr Mohd Nazri Ismail
Associate Professor Department of System and Networking University of Kuala (UniKL) Kuala Lumpur Malaysia
Dr Haw Su Cheng
Faculty of Information Technology Multimedia University (MMU) Jalan Multimedia 63100 Cyberjaya
Dr Hossein Rajabalipour Cheshmehgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi
Malaysia (UTM) 81310 Skudai Malaysia
Dr Sudhinder Singh Chowhan
Associate Professor Institute of Management and Computer Science NIMS University Jaipur (Rajasthan) India
Dr Neeta Sharma
Professor amp Head Department of Communication Skils Technocrat Institute of Technology Bhopal(MP) India
Dr Ashish Rastogi
Associate Professor Department of CSIT Guru Ghansi Das University Bilaspur (CG) India
Dr Santosh Kumar Nanda
Professor Department of Computer Science and Engineering Eastern Academy of Science and Technology (EAST) Khurda (Orisa)
India
Dr Hai Shanker Hota
Associate Professor Department of CSIT Guru Ghansi Das University Bilaspur (CG) India
Dr Sunil Kumar Singla
Professor Department of Electrical and Instrumentation Engineering Thapar University Patiala (Punjab) India
Dr A K Verma
Professor Department of Computer Science and Engineering Thapar University Patiala (Punjab) India
Dr Durgesh Mishra
Chairman IEEE Computer Society Chapter Bombay Section Chairman IEEE MP Subsection Professor amp Dean (RampD) Acropolis
Institute of Technology Indore (MP) India
Dr Xiaoguang Yue
Associate Professor College of Computer and Information Southwest Forestry University Kunming (Yunnan) China
Dr Veronica Mc Gowan
Associate Professor Department of Computer and Business Information SystemsDelaware Valley College Doylestown PA Allman
China
Dr Mohd Ali Hussain
Professor Department of Computer Science and Engineering Sri Sai Madhavi Institute of Science amp Technology Rajahmundry
(AP) India
Dr Mohd Nazri Ismail
Professor System and Networking Department Jalan Sultan Ismail Kaula Lumpur MALAYSIA
Dr Sunil Mishra
Associate Professor Department of Communication Skills (English) Dronacharya College of Engineering Farrukhnagar Gurgaon
(Haryana) India
Dr Labib Francis Gergis Rofaiel
Associate Professor Department of Digital Communications and Electronics Misr Academy for Engineering and Technology
Mansoura City Egypt
Dr Pavol Tanuska
Associate Professor Department of Applied Informetics Automation and Mathematics Trnava Slovakia
Dr VS Giridhar Akula
Professor Avanthis Research amp Technological Academy Gunthapally Hyderabad Andhra Pradesh India
Dr S Satyanarayana
Associate Professor Department of Computer Science and Engineering KL University Guntur Andhra Pradesh India
Dr Bhupendra Kumar Sharma
Associate Professor Department of Mathematics KL University BITS Pilani India
Dr Praveen Agarwal
Associate Professoramp Head Department of Mathematics Anand International College of Engineering Jaipur (Rajasthan) India
Dr Manoj Kumar
Professor Department of Mathematics Rashtriya Kishan Post Graduate Degree College Shamli Prabudh Nagar (UP) India
Dr Shaikh Abdul Hannan
Associate Professor Department of Computer Science Vivekanand Arts Sardar Dalipsing Arts and Science College Aurangabad
(Maharashtra) India
Dr KM Pandey
Professor Department of Mechanical EngineeringNational Institute of Technology Silchar India
Prof Pranav Parashar
Technical Advisor International Journal of Soft Computing and Engineering (IJSCE) Bhopal (MP) India
Dr Biswajit Chakraborty
MECON Limited Research and Development Division (A Govt of India Enterprise) Ranchi-834002 Jharkhand India
Dr DV Ashoka
Professor amp Head Department of Information Science amp Engineering SJB Institute of Technology Kengeri Bangalore India
Dr Sasidhar Babu Suvanam
Professor amp Academic Cordinator Department of Computer Science amp Engineering Sree Narayana Gurukulam College of
Engineering Kadayiuruppu Kolenchery Kerala India
Dr C Venkatesh
Professor amp Dean Faculty of Engineering EBET Group of Institutions Kangayam Erode Caimbatore (Tamil Nadu) India
Dr Nilay Khare
Assoc Professor amp Head Department of Computer Science MANIT Bhopal (MP) India
Dr Sandra De Iaco
Professor Dipto Di Scienze DellrsquoEconomia-Sez Matematico-Statistica Italy
Dr Yaduvir Singh
Associate Professor Department of Computer Science amp Engineering Ideal Institute of Technology Govindpuram Ghaziabad
Lucknow (UP) India
Dr Angela Amphawan
Head of Optical Technology School of Computing School Of Computing Universiti Utara Malaysia 06010 Sintok Kedah Malaysia
Dr Ashwini Kumar Arya
Associate Professor Department of Electronics amp Communication Engineering Faculty of Engineering and TechnologyGraphic Era
University Dehradun (UK) India
Dr Yash Pal Singh
Professor Department of Electronics amp Communication Engg Director KLS Institute Of Enggamp Technology Director KLSIET
Chandok Bijnor (UP) India
Dr Ashish Jain
Associate Professor Department of Computer Science amp Engineering Accurate Institute of Management amp Technology Gr Noida
(UP) India
Dr Abhay Saxena
Associate ProfessorampHead Department of Computer Science Dev Sanskriti University Haridwar Uttrakhand India
Dr Judy MV
Associate Professor Head of the Department CS ampIT Amrita School of Arts and Sciences Amrita Vishwa Vidyapeetham
Brahmasthanam Edapally Cochin Kerala India
Dr Sangkyun Kim
Professor Department of Industrial Engineering Kangwon National University Hyoja 2 dong Chunche0nsi Gangwondo Korea
Dr Sanjay M Gulhane
Professor Department of Electronics amp Telecommunication Engineering Jawaharlal Darda Institute of Engineering amp Technology
Yavatmal Maharastra India
Dr KK Thyagharajan
Principal amp Professor Department of Informational Technology RMK College of Engineering amp Technology RSM Nagar
Thiruyallur Tamil Nadu India
Dr P Subashini
Asso Professor Department of Computer Science Coimbatore India
Dr G Srinivasrao
Professor Department of Mechanical Engineering RVR amp JC College of Engineering Chowdavaram Guntur India
Dr Rajesh Verma
Professor Department of Computer Science amp Engg and Deptt of Information Technology Kurukshetra Institute of Technology amp
Management Bhor Sadian Pehowa Kurukshetra (Haryana) India
Dr Pawan Kumar Shukla
Associate Professor Satya College of Engineering amp Technology Haryana India
Dr U C Srivastava
Associate Professor Department of Applied Physics Amity Institute of Applied Sciences Amity University Noida India
Dr Reena Dadhich
Profamp Head Department of Computer Science and Informatics MBS MArg Near Kabir Circle University of Kota Rajasthan India
Dr AashisSRoy
Department of Materials Engineering Indian Institute of Science Bangalore Karnataka India
Dr Sudhir Nigam
Professor Department of Civil Engineering Principal Lakshmi Narain College of Technology and Science Raisen Road Bhopal
(MP) India
Dr SSenthilkumar
Doctorate Department of Center for Advanced Image and Information Technology Division of Computer Science and Engineering
Graduate School of Electronics and Information Engineering Chon Buk National University Deok Jin-Dong Jeonju Chon Buk 561-
756 South Korea Tamilnadu India
Dr Gufran Ahmad Ansari
Associate Professor Department of Information Technology College of Computer Qassim University Al-Qassim Kingdom of
Saudi Arabia (KSA)
Dr RNavaneethakrishnan
Associate Professor Department of MCA Bharathiyar College of Engg amp Tech Karaikal Puducherry India
Dr Hossein Rajabalipour Cheshmejgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi Skudai
Malaysia
Dr Veronica McGowan
Associate Professor Department of Computer and Business Information Systems Delaware Valley College Doylestown PA Allman
China
Dr Sanjay Sharma
Associate Professor Department of Mathematics Bhilai Institute of Technology Durg Chhattisgarh India
Dr Taghreed Hashim Al-Noor
Professor Department of Chemistry Ibn-Al-Haitham Education for pure Science College University of Baghdad Iraq
Dr Madhumita Dash
Professor Department of Electronics amp Telecommunication Orissa Engineering College BhubaneswarOdisha India
Dr Anita Sagadevan Ethiraj
Associate Professor Department of Centre for Nanotechnology Research (CNR) School of Electronics Engineering (Sense) Vellore
Institute of Technology (VIT) University Tamilnadu India
Dr Sibasis Acharya
Project Consultant Department of Metallurgy amp Mineral Processing Midas Tech International 30 Mukin Street Jindalee-4074
Queensland Australia
Dr Neelam Ruhil
Professor Department of Electronics amp Computer Engineering Dronacharya College of Engineering Gurgaon Haryana India
Dr Faizullah Mahar
Professor Department of Electrical Engineering Balochistan University of Engineering and Technology Pakistan
Dr K Selvaraju
Head PG amp Research Department of Physics Kandaswami Kandars College (Govt Aided) Velur (PO) Namakkal DT Tamil Nadu
India
Dr M K Bhanarkar
Associate Professor Department of Electronics Shivaji University Kolhapur Maharashtra India
Dr Sanjay Hari Sawant
Professor Department of Mechanical Engineering Dr J J Magdum College of Engineering Jaysingpur India
Dr Arindam Ghosal
Professor Department of Mechanical Engineering Dronacharya Group of Institutions B-27 Part-III Knowledge ParkGreater Noida
India
Dr M Chithirai Pon Selvan
Associate Professor Department of Mechanical Engineering School of Engineering amp Information Technology Amity University
Dubai UAE
Dr S Sambhu Prasad
Professor amp Principal Department of Mechanical Engineering Pragati College of Engineering Andhra Pradesh India
Dr Muhammad Attique Khan Shahid
Professor of Physics amp Chairman Department of Physics Advisor (SAAP) at Government Post Graduate College of Science
Faisalabad
Dr Kuldeep Pareta
Professor amp Head Department of Remote SensingGIS amp NRM B-30 Kailash Colony New Delhi 110 048 India
Dr Th Kiranbala Devi
Associate Professor Department of Civil Engineering Manipur Institute of Technology Takyelpat Imphal Manipur India
Dr Nirmala Mungamuru
Associate Professor Department of Computing School of Engineering Adama Science and Technology University Ethiopia
Dr Srilalitha Girija Kumari Sagi
Associate Professor Department of Management Gandhi Institute of Technology and Management India
Dr Vishnu Narayan Mishra
Associate Professor Department of Mathematics Sardar Vallabhbhai National Institute of Technology Ichchhanath Mahadev Dumas
Road Surat (Gujarat) India
Dr Yash Pal Singh
DirectorPrincipal Somany (PG) Institute of Technology amp Management Garhi Bolni Road Rewari Haryana India
Dr Sripada Rama Sree
Vice Principal Associate Professor Department of Computer Science and Engineering Aditya Engineering College Surampalem
Andhra Pradesh India
Dr Rustom Mamlook
Associate Professor Department of Electrical and Computer Engineering Dhofar University Salalah Oman Middle East
Dr Ramzi Raphael Ibraheem Al Barwari
Assistant Professor Department of Mechanical Engineering College of Engineering Salahaddin University ndash Hawler (SUH) Erbil ndash
Kurdistan Erbil Iraq
Dr Kapil Chandra Agarwal
HOD amp Professor Department of Applied Sciences amp Humanities Radha Govind Engineering College U P Technical University
Jai Bheem Nagar Meerut (UP) India
Dr Anil Kumar Tripathy
Associate Professor Department of Environmental Science amp Engineering Ghanashyama Hemalata Institute of Technology and
Management Puri Odisha India
Managing Editor
Mr Jitendra Kumar Sen
International Journal of Recent Technology and Engineering (IJRTE)
Editorial Board
Dr Soni Changlani
Professor Department of Electronics amp Communication Lakshmi Narain College of Technology amp Science Bhopal (MP) India
Dr M M Manyuchi
Professor Department Chemical and Process Systems Engineering Lecturer-Harare Institute of Technology Zimbabwe
Dr John Kaiser S Calautit
Professor Department Civil Engineering School of Civil Engineering University of Leeds LS2 9JT Leeds United Kingdom
Dr Audai Hussein Al-Abbas
Deputy Head Department AL-Musaib Technical College Foundation of Technical EducationBabylon Iraq
Dr Şeref Doğuşcan Akbaş
Professor Department Civil Engineering Şehit Muhtar Mah Oumlğuumlt Sok No237 Beyoğlu Istanbul Turkey
Dr H S Behera
Associate Professor Department Computer Science amp Engineering Veer Surendra Sai University of Technology (VSSUT) A Unitary
Technical University Established by the Government of Odisha India
Dr Rajeev Tiwari
Associate Professor Department Computer Science amp Engineering University of Petroleum amp Energy Studies (UPES) Bidholi
Uttrakhand India
Dr Piyush Kumar Shukla
Assoc Professor Department of Computer Science and Engineering University Institute of Technology RGPV Bhopal (MP) India
Dr Piyush Lotia
AssocProfessor Department of Electronics and Instrumentation Shankaracharya College of Engineering and Technology Bhilai
(CG) India
Dr Asha Rai
Assoc Professor Department of Communication Skils Technocrat Institute of Technology Bhopal (MP) India
Dr Vahid Nourani
Assoc Professor Department of Civil Engineering University of Minnesota USA
Dr Hung-Wei Wu
Assoc Professor Department of Computer and Communication Kun Shan University Taiwan
Dr Vuda Sreenivasarao
Associate Professor Department of Computr And Information Technology Defence University College Debrezeit Ethiopia India
Dr Sanjay Bhargava
Assoc Professor Department of Computer Science Banasthali University Jaipur India
Dr Sanjoy Deb
Assoc Professor Department of ECE BIT Sathy Sathyamangalam Tamilnadu India
Dr Papita Das (Saha)
Assoc Professor Department of Biotechnology National Institute of Technology Duragpur India
Dr Waail Mahmod Lafta Al-waely
Assoc Professor Department of Mechatronics Engineering Al-Mustafa University College ndash Plastain Street near AL-SAAKKRA
square- Baghdad - Iraq
Dr P P Satya Paul Kumar
Assoc Professor Department of Physical Education amp Sports Sciences University College of Physical Education amp Sports Sciences
Guntur
Dr Sohrab Mirsaeidi
Associate Professor Department of Electrical Engineering Universiti Teknologi Malaysia (UTM) Skudai Johor Malaysia
Dr Ehsan Noroozinejad Farsangi
Associate Professor Department of Civil Engineering International Institute of Earthquake Engineering and Seismology (IIEES)
Farmanieh Tehran - Iran
Dr Omed Ghareb Abdullah
Associate Professor Department of Physics School of Science University of Sulaimani Iraq
Dr Khaled Eskaf
Associate Professor Department of Computer Engineering College of Computing and Information Technology Alexandria Egypt
Dr Nitin W Ingole
Associate Professor amp Head Department of Civil Engineering Prof Ram Meghe Institute of Technology and Research Badnera
Amravati
Dr P K Gupta
Associate Professor Department of Computer Science and Engineering Jaypee University of Information Technology PO Dumehar
Bani Solan India
Dr PGanesh Kumar
Associate Professor Department of Electronics amp Communication Sri Krishna College of Engineering and Technology Linyi Top
Network Co Ltd Linyi Shandong Provience China
Dr Santhosh K V
Associate Professor Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Karnataka
India
Dr Subhendu Kumar Pani
Assoc Professor Department of Computer Science and Engineering Orissa Engineering College India
Dr Syed Asif Ali
Professor Chairman Department of Computer Science SMI University Karachi Pakistan
Dr Vilas Warudkar
Assoc Professor Department of Mechanical Engineering Maulana Azad National Institute of Technology Bhopal India
Dr S Chandra Mohan Reddy
Associate Professor amp Head Department of Electronics amp Communication Engineering JNTUA College of Engineering
(Autonomous) Cuddapah Andhra Pradesh India
Dr V Chittaranjan Das
Associate Professor Department of Mechanical Engineering RVR amp JC College of Engineering Guntur Andhra Pradesh India
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Editor In Chief
Dr Shiv K Sahu
PhD (CSE) MTech (IT Honors) BTech (IT)
Director Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd Bhopal (MP) India
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PhD (Chemistry) MSc (Organic Chemistry)
Additional Director Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd Bhopal (MP) India
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Prof(Dr) Anuranjan Misra
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Prof (Dr) Hamid Saremi
Vice Chancellor of Islamic Azad University of Iran Quchan Branch Quchan-Iran
Dr Uma Shanker
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Dr Vinita Kumari
Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd India
Dr Kapil Kumar Bansal
Head (Research and Publication) SRM University Gaziabad (UP) India
Dr Deepak Garg
Professor Department of Computer Science and Engineering Thapar University Patiala (Punjab) India Senior Member of IEEE
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Dr Vijay Anant Athavale
Director of SVS Group of Institutions Mawana Meerut (UP) India UP Technical University India
Dr TC Manjunath
Principal amp Professor HKBK College of Engg Nagawara Arabic College Road Bengaluru-560045 Karnataka India
Dr Kosta Yogeshwar Prasad
Director Technical Campus Marwadi Education Foundationrsquos Group of Institutions Rajkot-Morbi Highway Gauridad Rajkot
Gujarat India
Dr Dinesh Varshney
Director of College Development Counceling Devi Ahilya University Indore (MP) Professor School of Physics Devi Ahilya
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Dr P Dananjayan
Professor Department of Department of ECE Pondicherry Engineering College PondicherryIndia
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Dr CheeFai Tan
Faculty of Mechanical Engineering University Technical Malaysia Melaka Malaysia
Dr Suresh Babu Perli
Professoramp Head Department of Electrical and Electronic Engineering Narasaraopeta Engineering College Guntur AP India
Dr Binod Kumar
Associate Professor Schhool of Engineering and Computer Technology Faculty of Integrative Sciences and Technology Quest
International University Ipoh Perak Malaysia
Dr Chiladze George
Professor Faculty of Law Akhaltsikhe State University Tbilisi University Georgia
Dr Kavita Khare
Professor Department of Electronics amp Communication Engineering MANIT Bhopal (MP) INDIA
Dr C Saravanan
Associate Professor (System Manager) amp Head Computer Center NIT Durgapur WB India
Dr S Saravanan
Professor Department of Electrical and Electronics Engineering Muthayamal Engineering College Resipuram Tamilnadu India
Dr Amit Kumar Garg
Professor amp Head Department of Electronics and Communication Engineering Maharishi Markandeshwar University Mulllana
Ambala (Haryana) India
Dr TCManjunath
Principal amp Professor HKBK College of Engg Nagawara Arabic College Road Bengaluru-560045 Karnataka India
Dr P Dananjayan
Professor Department of Department of ECE Pondicherry Engineering College Pondicherry India
Dr Kamal K Mehta
Associate Professor Department of Computer Engineering Institute of Technology NIRMA University Ahmedabad (Gujarat) India
Dr Rajiv Srivastava
Director Department of Computer Science amp Engineering Sagar Institute of Research amp Technology Bhopal (MP) India
Dr Chakunta Venkata Guru Rao
Professor Department of Computer Science amp Engineering SR Engineering College Ananthasagar Warangal Andhra Pradesh India
Dr Anuranjan Misra
Professor Department of Computer Science amp Engineering Bhagwant Institute of Technology NH-24 Jindal Nagar Ghaziabad
India
Dr Robert Brian Smith
International Development Assistance Consultant Department of AEC Consultants Pty Ltd AEC Consultants Pty Ltd Macquarie
Centre North Ryde New South Wales Australia
Dr Saber Mohamed Abd-Allah
Associate Professor Department of Biochemistry Shanghai Institute of Biochemistry and Cell Biology Yue Yang Road Shanghai
China
Dr Himani Sharma
Professor amp Dean Department of Electronics amp Communication Engineering MLR Institute of Technology Laxman Reddy Avenue
Dundigal Hyderabad India
Dr Sahab Singh
Associate Professor Department of Management Studies Dronacharya Group of Institutions Knowledge Park-III Greater Noida
India
Dr Umesh Kumar
Principal Govt Women Poly Ranchi India
Dr Syed Zaheer Hasan
Scientist-G Petroleum Research Wing Gujarat Energy Research and Management Institute Energy Building Pandit Deendayal
Petroleum University Campus Raisan Gandhinagar-382007 Gujarat India
Dr Jaswant Singh Bhomrah
Director Department of Profit Oriented Technique 1 ndash B Crystal Gold Vijalpore Road Navsari 396445 Gujarat India
Technical Advisory Board
Dr Mohd Husain
Director MG Institute of Management amp Technology Banthara Lucknow (UP) India
Dr T Jayanthy
Principal Panimalar Institute of Technology Chennai (TN) India
Dr Umesh AS
Director Technocrats Institute of Technology amp Science Bhopal(MP) India
Dr B Kanagasabapathi
Infosys Labs Infosys Limited Center for Advance Modeling and Simulation Infosys Labs Infosys Limited Electronics City
Bangalore India
Dr CB Gupta
Professor Department of Mathematics Birla Institute of Technology amp Sciences Pilani (Rajasthan) India
Dr Sunandan Bhunia
Associate Professor amp Head Dept of Electronics amp Communication Engineering Haldia Institute of Technology Haldia West
Bengal India
Dr Jaydeb Bhaumik
Associate Professor Dept of Electronics amp Communication Engineering Haldia Institute of Technology Haldia West Bengal India
Dr Rajesh Das
Associate Professor School of Applied Sciences Haldia Institute of Technology Haldia West Bengal India
Dr Mrutyunjaya Panda
Professor amp Head Department of EEE Gandhi Institute for Technological Development Bhubaneswar Odisha India
Dr Mohd Nazri Ismail
Associate Professor Department of System and Networking University of Kuala (UniKL) Kuala Lumpur Malaysia
Dr Haw Su Cheng
Faculty of Information Technology Multimedia University (MMU) Jalan Multimedia 63100 Cyberjaya
Dr Hossein Rajabalipour Cheshmehgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi
Malaysia (UTM) 81310 Skudai Malaysia
Dr Sudhinder Singh Chowhan
Associate Professor Institute of Management and Computer Science NIMS University Jaipur (Rajasthan) India
Dr Neeta Sharma
Professor amp Head Department of Communication Skils Technocrat Institute of Technology Bhopal(MP) India
Dr Ashish Rastogi
Associate Professor Department of CSIT Guru Ghansi Das University Bilaspur (CG) India
Dr Santosh Kumar Nanda
Professor Department of Computer Science and Engineering Eastern Academy of Science and Technology (EAST) Khurda (Orisa)
India
Dr Hai Shanker Hota
Associate Professor Department of CSIT Guru Ghansi Das University Bilaspur (CG) India
Dr Sunil Kumar Singla
Professor Department of Electrical and Instrumentation Engineering Thapar University Patiala (Punjab) India
Dr A K Verma
Professor Department of Computer Science and Engineering Thapar University Patiala (Punjab) India
Dr Durgesh Mishra
Chairman IEEE Computer Society Chapter Bombay Section Chairman IEEE MP Subsection Professor amp Dean (RampD) Acropolis
Institute of Technology Indore (MP) India
Dr Xiaoguang Yue
Associate Professor College of Computer and Information Southwest Forestry University Kunming (Yunnan) China
Dr Veronica Mc Gowan
Associate Professor Department of Computer and Business Information SystemsDelaware Valley College Doylestown PA Allman
China
Dr Mohd Ali Hussain
Professor Department of Computer Science and Engineering Sri Sai Madhavi Institute of Science amp Technology Rajahmundry
(AP) India
Dr Mohd Nazri Ismail
Professor System and Networking Department Jalan Sultan Ismail Kaula Lumpur MALAYSIA
Dr Sunil Mishra
Associate Professor Department of Communication Skills (English) Dronacharya College of Engineering Farrukhnagar Gurgaon
(Haryana) India
Dr Labib Francis Gergis Rofaiel
Associate Professor Department of Digital Communications and Electronics Misr Academy for Engineering and Technology
Mansoura City Egypt
Dr Pavol Tanuska
Associate Professor Department of Applied Informetics Automation and Mathematics Trnava Slovakia
Dr VS Giridhar Akula
Professor Avanthis Research amp Technological Academy Gunthapally Hyderabad Andhra Pradesh India
Dr S Satyanarayana
Associate Professor Department of Computer Science and Engineering KL University Guntur Andhra Pradesh India
Dr Bhupendra Kumar Sharma
Associate Professor Department of Mathematics KL University BITS Pilani India
Dr Praveen Agarwal
Associate Professoramp Head Department of Mathematics Anand International College of Engineering Jaipur (Rajasthan) India
Dr Manoj Kumar
Professor Department of Mathematics Rashtriya Kishan Post Graduate Degree College Shamli Prabudh Nagar (UP) India
Dr Shaikh Abdul Hannan
Associate Professor Department of Computer Science Vivekanand Arts Sardar Dalipsing Arts and Science College Aurangabad
(Maharashtra) India
Dr KM Pandey
Professor Department of Mechanical EngineeringNational Institute of Technology Silchar India
Prof Pranav Parashar
Technical Advisor International Journal of Soft Computing and Engineering (IJSCE) Bhopal (MP) India
Dr Biswajit Chakraborty
MECON Limited Research and Development Division (A Govt of India Enterprise) Ranchi-834002 Jharkhand India
Dr DV Ashoka
Professor amp Head Department of Information Science amp Engineering SJB Institute of Technology Kengeri Bangalore India
Dr Sasidhar Babu Suvanam
Professor amp Academic Cordinator Department of Computer Science amp Engineering Sree Narayana Gurukulam College of
Engineering Kadayiuruppu Kolenchery Kerala India
Dr C Venkatesh
Professor amp Dean Faculty of Engineering EBET Group of Institutions Kangayam Erode Caimbatore (Tamil Nadu) India
Dr Nilay Khare
Assoc Professor amp Head Department of Computer Science MANIT Bhopal (MP) India
Dr Sandra De Iaco
Professor Dipto Di Scienze DellrsquoEconomia-Sez Matematico-Statistica Italy
Dr Yaduvir Singh
Associate Professor Department of Computer Science amp Engineering Ideal Institute of Technology Govindpuram Ghaziabad
Lucknow (UP) India
Dr Angela Amphawan
Head of Optical Technology School of Computing School Of Computing Universiti Utara Malaysia 06010 Sintok Kedah Malaysia
Dr Ashwini Kumar Arya
Associate Professor Department of Electronics amp Communication Engineering Faculty of Engineering and TechnologyGraphic Era
University Dehradun (UK) India
Dr Yash Pal Singh
Professor Department of Electronics amp Communication Engg Director KLS Institute Of Enggamp Technology Director KLSIET
Chandok Bijnor (UP) India
Dr Ashish Jain
Associate Professor Department of Computer Science amp Engineering Accurate Institute of Management amp Technology Gr Noida
(UP) India
Dr Abhay Saxena
Associate ProfessorampHead Department of Computer Science Dev Sanskriti University Haridwar Uttrakhand India
Dr Judy MV
Associate Professor Head of the Department CS ampIT Amrita School of Arts and Sciences Amrita Vishwa Vidyapeetham
Brahmasthanam Edapally Cochin Kerala India
Dr Sangkyun Kim
Professor Department of Industrial Engineering Kangwon National University Hyoja 2 dong Chunche0nsi Gangwondo Korea
Dr Sanjay M Gulhane
Professor Department of Electronics amp Telecommunication Engineering Jawaharlal Darda Institute of Engineering amp Technology
Yavatmal Maharastra India
Dr KK Thyagharajan
Principal amp Professor Department of Informational Technology RMK College of Engineering amp Technology RSM Nagar
Thiruyallur Tamil Nadu India
Dr P Subashini
Asso Professor Department of Computer Science Coimbatore India
Dr G Srinivasrao
Professor Department of Mechanical Engineering RVR amp JC College of Engineering Chowdavaram Guntur India
Dr Rajesh Verma
Professor Department of Computer Science amp Engg and Deptt of Information Technology Kurukshetra Institute of Technology amp
Management Bhor Sadian Pehowa Kurukshetra (Haryana) India
Dr Pawan Kumar Shukla
Associate Professor Satya College of Engineering amp Technology Haryana India
Dr U C Srivastava
Associate Professor Department of Applied Physics Amity Institute of Applied Sciences Amity University Noida India
Dr Reena Dadhich
Profamp Head Department of Computer Science and Informatics MBS MArg Near Kabir Circle University of Kota Rajasthan India
Dr AashisSRoy
Department of Materials Engineering Indian Institute of Science Bangalore Karnataka India
Dr Sudhir Nigam
Professor Department of Civil Engineering Principal Lakshmi Narain College of Technology and Science Raisen Road Bhopal
(MP) India
Dr SSenthilkumar
Doctorate Department of Center for Advanced Image and Information Technology Division of Computer Science and Engineering
Graduate School of Electronics and Information Engineering Chon Buk National University Deok Jin-Dong Jeonju Chon Buk 561-
756 South Korea Tamilnadu India
Dr Gufran Ahmad Ansari
Associate Professor Department of Information Technology College of Computer Qassim University Al-Qassim Kingdom of
Saudi Arabia (KSA)
Dr RNavaneethakrishnan
Associate Professor Department of MCA Bharathiyar College of Engg amp Tech Karaikal Puducherry India
Dr Hossein Rajabalipour Cheshmejgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi Skudai
Malaysia
Dr Veronica McGowan
Associate Professor Department of Computer and Business Information Systems Delaware Valley College Doylestown PA Allman
China
Dr Sanjay Sharma
Associate Professor Department of Mathematics Bhilai Institute of Technology Durg Chhattisgarh India
Dr Taghreed Hashim Al-Noor
Professor Department of Chemistry Ibn-Al-Haitham Education for pure Science College University of Baghdad Iraq
Dr Madhumita Dash
Professor Department of Electronics amp Telecommunication Orissa Engineering College BhubaneswarOdisha India
Dr Anita Sagadevan Ethiraj
Associate Professor Department of Centre for Nanotechnology Research (CNR) School of Electronics Engineering (Sense) Vellore
Institute of Technology (VIT) University Tamilnadu India
Dr Sibasis Acharya
Project Consultant Department of Metallurgy amp Mineral Processing Midas Tech International 30 Mukin Street Jindalee-4074
Queensland Australia
Dr Neelam Ruhil
Professor Department of Electronics amp Computer Engineering Dronacharya College of Engineering Gurgaon Haryana India
Dr Faizullah Mahar
Professor Department of Electrical Engineering Balochistan University of Engineering and Technology Pakistan
Dr K Selvaraju
Head PG amp Research Department of Physics Kandaswami Kandars College (Govt Aided) Velur (PO) Namakkal DT Tamil Nadu
India
Dr M K Bhanarkar
Associate Professor Department of Electronics Shivaji University Kolhapur Maharashtra India
Dr Sanjay Hari Sawant
Professor Department of Mechanical Engineering Dr J J Magdum College of Engineering Jaysingpur India
Dr Arindam Ghosal
Professor Department of Mechanical Engineering Dronacharya Group of Institutions B-27 Part-III Knowledge ParkGreater Noida
India
Dr M Chithirai Pon Selvan
Associate Professor Department of Mechanical Engineering School of Engineering amp Information Technology Amity University
Dubai UAE
Dr S Sambhu Prasad
Professor amp Principal Department of Mechanical Engineering Pragati College of Engineering Andhra Pradesh India
Dr Muhammad Attique Khan Shahid
Professor of Physics amp Chairman Department of Physics Advisor (SAAP) at Government Post Graduate College of Science
Faisalabad
Dr Kuldeep Pareta
Professor amp Head Department of Remote SensingGIS amp NRM B-30 Kailash Colony New Delhi 110 048 India
Dr Th Kiranbala Devi
Associate Professor Department of Civil Engineering Manipur Institute of Technology Takyelpat Imphal Manipur India
Dr Nirmala Mungamuru
Associate Professor Department of Computing School of Engineering Adama Science and Technology University Ethiopia
Dr Srilalitha Girija Kumari Sagi
Associate Professor Department of Management Gandhi Institute of Technology and Management India
Dr Vishnu Narayan Mishra
Associate Professor Department of Mathematics Sardar Vallabhbhai National Institute of Technology Ichchhanath Mahadev Dumas
Road Surat (Gujarat) India
Dr Yash Pal Singh
DirectorPrincipal Somany (PG) Institute of Technology amp Management Garhi Bolni Road Rewari Haryana India
Dr Sripada Rama Sree
Vice Principal Associate Professor Department of Computer Science and Engineering Aditya Engineering College Surampalem
Andhra Pradesh India
Dr Rustom Mamlook
Associate Professor Department of Electrical and Computer Engineering Dhofar University Salalah Oman Middle East
Dr Ramzi Raphael Ibraheem Al Barwari
Assistant Professor Department of Mechanical Engineering College of Engineering Salahaddin University ndash Hawler (SUH) Erbil ndash
Kurdistan Erbil Iraq
Dr Kapil Chandra Agarwal
HOD amp Professor Department of Applied Sciences amp Humanities Radha Govind Engineering College U P Technical University
Jai Bheem Nagar Meerut (UP) India
Dr Anil Kumar Tripathy
Associate Professor Department of Environmental Science amp Engineering Ghanashyama Hemalata Institute of Technology and
Management Puri Odisha India
Managing Editor
Mr Jitendra Kumar Sen
International Journal of Recent Technology and Engineering (IJRTE)
Editorial Board
Dr Soni Changlani
Professor Department of Electronics amp Communication Lakshmi Narain College of Technology amp Science Bhopal (MP) India
Dr M M Manyuchi
Professor Department Chemical and Process Systems Engineering Lecturer-Harare Institute of Technology Zimbabwe
Dr John Kaiser S Calautit
Professor Department Civil Engineering School of Civil Engineering University of Leeds LS2 9JT Leeds United Kingdom
Dr Audai Hussein Al-Abbas
Deputy Head Department AL-Musaib Technical College Foundation of Technical EducationBabylon Iraq
Dr Şeref Doğuşcan Akbaş
Professor Department Civil Engineering Şehit Muhtar Mah Oumlğuumlt Sok No237 Beyoğlu Istanbul Turkey
Dr H S Behera
Associate Professor Department Computer Science amp Engineering Veer Surendra Sai University of Technology (VSSUT) A Unitary
Technical University Established by the Government of Odisha India
Dr Rajeev Tiwari
Associate Professor Department Computer Science amp Engineering University of Petroleum amp Energy Studies (UPES) Bidholi
Uttrakhand India
Dr Piyush Kumar Shukla
Assoc Professor Department of Computer Science and Engineering University Institute of Technology RGPV Bhopal (MP) India
Dr Piyush Lotia
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(CG) India
Dr Asha Rai
Assoc Professor Department of Communication Skils Technocrat Institute of Technology Bhopal (MP) India
Dr Vahid Nourani
Assoc Professor Department of Civil Engineering University of Minnesota USA
Dr Hung-Wei Wu
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Dr Vuda Sreenivasarao
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Dr Sanjoy Deb
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Dr Papita Das (Saha)
Assoc Professor Department of Biotechnology National Institute of Technology Duragpur India
Dr Waail Mahmod Lafta Al-waely
Assoc Professor Department of Mechatronics Engineering Al-Mustafa University College ndash Plastain Street near AL-SAAKKRA
square- Baghdad - Iraq
Dr P P Satya Paul Kumar
Assoc Professor Department of Physical Education amp Sports Sciences University College of Physical Education amp Sports Sciences
Guntur
Dr Sohrab Mirsaeidi
Associate Professor Department of Electrical Engineering Universiti Teknologi Malaysia (UTM) Skudai Johor Malaysia
Dr Ehsan Noroozinejad Farsangi
Associate Professor Department of Civil Engineering International Institute of Earthquake Engineering and Seismology (IIEES)
Farmanieh Tehran - Iran
Dr Omed Ghareb Abdullah
Associate Professor Department of Physics School of Science University of Sulaimani Iraq
Dr Khaled Eskaf
Associate Professor Department of Computer Engineering College of Computing and Information Technology Alexandria Egypt
Dr Nitin W Ingole
Associate Professor amp Head Department of Civil Engineering Prof Ram Meghe Institute of Technology and Research Badnera
Amravati
Dr P K Gupta
Associate Professor Department of Computer Science and Engineering Jaypee University of Information Technology PO Dumehar
Bani Solan India
Dr PGanesh Kumar
Associate Professor Department of Electronics amp Communication Sri Krishna College of Engineering and Technology Linyi Top
Network Co Ltd Linyi Shandong Provience China
Dr Santhosh K V
Associate Professor Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Karnataka
India
Dr Subhendu Kumar Pani
Assoc Professor Department of Computer Science and Engineering Orissa Engineering College India
Dr Syed Asif Ali
Professor Chairman Department of Computer Science SMI University Karachi Pakistan
Dr Vilas Warudkar
Assoc Professor Department of Mechanical Engineering Maulana Azad National Institute of Technology Bhopal India
Dr S Chandra Mohan Reddy
Associate Professor amp Head Department of Electronics amp Communication Engineering JNTUA College of Engineering
(Autonomous) Cuddapah Andhra Pradesh India
Dr V Chittaranjan Das
Associate Professor Department of Mechanical Engineering RVR amp JC College of Engineering Guntur Andhra Pradesh India
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr Binod Kumar
Associate Professor Schhool of Engineering and Computer Technology Faculty of Integrative Sciences and Technology Quest
International University Ipoh Perak Malaysia
Dr Chiladze George
Professor Faculty of Law Akhaltsikhe State University Tbilisi University Georgia
Dr Kavita Khare
Professor Department of Electronics amp Communication Engineering MANIT Bhopal (MP) INDIA
Dr C Saravanan
Associate Professor (System Manager) amp Head Computer Center NIT Durgapur WB India
Dr S Saravanan
Professor Department of Electrical and Electronics Engineering Muthayamal Engineering College Resipuram Tamilnadu India
Dr Amit Kumar Garg
Professor amp Head Department of Electronics and Communication Engineering Maharishi Markandeshwar University Mulllana
Ambala (Haryana) India
Dr TCManjunath
Principal amp Professor HKBK College of Engg Nagawara Arabic College Road Bengaluru-560045 Karnataka India
Dr P Dananjayan
Professor Department of Department of ECE Pondicherry Engineering College Pondicherry India
Dr Kamal K Mehta
Associate Professor Department of Computer Engineering Institute of Technology NIRMA University Ahmedabad (Gujarat) India
Dr Rajiv Srivastava
Director Department of Computer Science amp Engineering Sagar Institute of Research amp Technology Bhopal (MP) India
Dr Chakunta Venkata Guru Rao
Professor Department of Computer Science amp Engineering SR Engineering College Ananthasagar Warangal Andhra Pradesh India
Dr Anuranjan Misra
Professor Department of Computer Science amp Engineering Bhagwant Institute of Technology NH-24 Jindal Nagar Ghaziabad
India
Dr Robert Brian Smith
International Development Assistance Consultant Department of AEC Consultants Pty Ltd AEC Consultants Pty Ltd Macquarie
Centre North Ryde New South Wales Australia
Dr Saber Mohamed Abd-Allah
Associate Professor Department of Biochemistry Shanghai Institute of Biochemistry and Cell Biology Yue Yang Road Shanghai
China
Dr Himani Sharma
Professor amp Dean Department of Electronics amp Communication Engineering MLR Institute of Technology Laxman Reddy Avenue
Dundigal Hyderabad India
Dr Sahab Singh
Associate Professor Department of Management Studies Dronacharya Group of Institutions Knowledge Park-III Greater Noida
India
Dr Umesh Kumar
Principal Govt Women Poly Ranchi India
Dr Syed Zaheer Hasan
Scientist-G Petroleum Research Wing Gujarat Energy Research and Management Institute Energy Building Pandit Deendayal
Petroleum University Campus Raisan Gandhinagar-382007 Gujarat India
Dr Jaswant Singh Bhomrah
Director Department of Profit Oriented Technique 1 ndash B Crystal Gold Vijalpore Road Navsari 396445 Gujarat India
Technical Advisory Board
Dr Mohd Husain
Director MG Institute of Management amp Technology Banthara Lucknow (UP) India
Dr T Jayanthy
Principal Panimalar Institute of Technology Chennai (TN) India
Dr Umesh AS
Director Technocrats Institute of Technology amp Science Bhopal(MP) India
Dr B Kanagasabapathi
Infosys Labs Infosys Limited Center for Advance Modeling and Simulation Infosys Labs Infosys Limited Electronics City
Bangalore India
Dr CB Gupta
Professor Department of Mathematics Birla Institute of Technology amp Sciences Pilani (Rajasthan) India
Dr Sunandan Bhunia
Associate Professor amp Head Dept of Electronics amp Communication Engineering Haldia Institute of Technology Haldia West
Bengal India
Dr Jaydeb Bhaumik
Associate Professor Dept of Electronics amp Communication Engineering Haldia Institute of Technology Haldia West Bengal India
Dr Rajesh Das
Associate Professor School of Applied Sciences Haldia Institute of Technology Haldia West Bengal India
Dr Mrutyunjaya Panda
Professor amp Head Department of EEE Gandhi Institute for Technological Development Bhubaneswar Odisha India
Dr Mohd Nazri Ismail
Associate Professor Department of System and Networking University of Kuala (UniKL) Kuala Lumpur Malaysia
Dr Haw Su Cheng
Faculty of Information Technology Multimedia University (MMU) Jalan Multimedia 63100 Cyberjaya
Dr Hossein Rajabalipour Cheshmehgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi
Malaysia (UTM) 81310 Skudai Malaysia
Dr Sudhinder Singh Chowhan
Associate Professor Institute of Management and Computer Science NIMS University Jaipur (Rajasthan) India
Dr Neeta Sharma
Professor amp Head Department of Communication Skils Technocrat Institute of Technology Bhopal(MP) India
Dr Ashish Rastogi
Associate Professor Department of CSIT Guru Ghansi Das University Bilaspur (CG) India
Dr Santosh Kumar Nanda
Professor Department of Computer Science and Engineering Eastern Academy of Science and Technology (EAST) Khurda (Orisa)
India
Dr Hai Shanker Hota
Associate Professor Department of CSIT Guru Ghansi Das University Bilaspur (CG) India
Dr Sunil Kumar Singla
Professor Department of Electrical and Instrumentation Engineering Thapar University Patiala (Punjab) India
Dr A K Verma
Professor Department of Computer Science and Engineering Thapar University Patiala (Punjab) India
Dr Durgesh Mishra
Chairman IEEE Computer Society Chapter Bombay Section Chairman IEEE MP Subsection Professor amp Dean (RampD) Acropolis
Institute of Technology Indore (MP) India
Dr Xiaoguang Yue
Associate Professor College of Computer and Information Southwest Forestry University Kunming (Yunnan) China
Dr Veronica Mc Gowan
Associate Professor Department of Computer and Business Information SystemsDelaware Valley College Doylestown PA Allman
China
Dr Mohd Ali Hussain
Professor Department of Computer Science and Engineering Sri Sai Madhavi Institute of Science amp Technology Rajahmundry
(AP) India
Dr Mohd Nazri Ismail
Professor System and Networking Department Jalan Sultan Ismail Kaula Lumpur MALAYSIA
Dr Sunil Mishra
Associate Professor Department of Communication Skills (English) Dronacharya College of Engineering Farrukhnagar Gurgaon
(Haryana) India
Dr Labib Francis Gergis Rofaiel
Associate Professor Department of Digital Communications and Electronics Misr Academy for Engineering and Technology
Mansoura City Egypt
Dr Pavol Tanuska
Associate Professor Department of Applied Informetics Automation and Mathematics Trnava Slovakia
Dr VS Giridhar Akula
Professor Avanthis Research amp Technological Academy Gunthapally Hyderabad Andhra Pradesh India
Dr S Satyanarayana
Associate Professor Department of Computer Science and Engineering KL University Guntur Andhra Pradesh India
Dr Bhupendra Kumar Sharma
Associate Professor Department of Mathematics KL University BITS Pilani India
Dr Praveen Agarwal
Associate Professoramp Head Department of Mathematics Anand International College of Engineering Jaipur (Rajasthan) India
Dr Manoj Kumar
Professor Department of Mathematics Rashtriya Kishan Post Graduate Degree College Shamli Prabudh Nagar (UP) India
Dr Shaikh Abdul Hannan
Associate Professor Department of Computer Science Vivekanand Arts Sardar Dalipsing Arts and Science College Aurangabad
(Maharashtra) India
Dr KM Pandey
Professor Department of Mechanical EngineeringNational Institute of Technology Silchar India
Prof Pranav Parashar
Technical Advisor International Journal of Soft Computing and Engineering (IJSCE) Bhopal (MP) India
Dr Biswajit Chakraborty
MECON Limited Research and Development Division (A Govt of India Enterprise) Ranchi-834002 Jharkhand India
Dr DV Ashoka
Professor amp Head Department of Information Science amp Engineering SJB Institute of Technology Kengeri Bangalore India
Dr Sasidhar Babu Suvanam
Professor amp Academic Cordinator Department of Computer Science amp Engineering Sree Narayana Gurukulam College of
Engineering Kadayiuruppu Kolenchery Kerala India
Dr C Venkatesh
Professor amp Dean Faculty of Engineering EBET Group of Institutions Kangayam Erode Caimbatore (Tamil Nadu) India
Dr Nilay Khare
Assoc Professor amp Head Department of Computer Science MANIT Bhopal (MP) India
Dr Sandra De Iaco
Professor Dipto Di Scienze DellrsquoEconomia-Sez Matematico-Statistica Italy
Dr Yaduvir Singh
Associate Professor Department of Computer Science amp Engineering Ideal Institute of Technology Govindpuram Ghaziabad
Lucknow (UP) India
Dr Angela Amphawan
Head of Optical Technology School of Computing School Of Computing Universiti Utara Malaysia 06010 Sintok Kedah Malaysia
Dr Ashwini Kumar Arya
Associate Professor Department of Electronics amp Communication Engineering Faculty of Engineering and TechnologyGraphic Era
University Dehradun (UK) India
Dr Yash Pal Singh
Professor Department of Electronics amp Communication Engg Director KLS Institute Of Enggamp Technology Director KLSIET
Chandok Bijnor (UP) India
Dr Ashish Jain
Associate Professor Department of Computer Science amp Engineering Accurate Institute of Management amp Technology Gr Noida
(UP) India
Dr Abhay Saxena
Associate ProfessorampHead Department of Computer Science Dev Sanskriti University Haridwar Uttrakhand India
Dr Judy MV
Associate Professor Head of the Department CS ampIT Amrita School of Arts and Sciences Amrita Vishwa Vidyapeetham
Brahmasthanam Edapally Cochin Kerala India
Dr Sangkyun Kim
Professor Department of Industrial Engineering Kangwon National University Hyoja 2 dong Chunche0nsi Gangwondo Korea
Dr Sanjay M Gulhane
Professor Department of Electronics amp Telecommunication Engineering Jawaharlal Darda Institute of Engineering amp Technology
Yavatmal Maharastra India
Dr KK Thyagharajan
Principal amp Professor Department of Informational Technology RMK College of Engineering amp Technology RSM Nagar
Thiruyallur Tamil Nadu India
Dr P Subashini
Asso Professor Department of Computer Science Coimbatore India
Dr G Srinivasrao
Professor Department of Mechanical Engineering RVR amp JC College of Engineering Chowdavaram Guntur India
Dr Rajesh Verma
Professor Department of Computer Science amp Engg and Deptt of Information Technology Kurukshetra Institute of Technology amp
Management Bhor Sadian Pehowa Kurukshetra (Haryana) India
Dr Pawan Kumar Shukla
Associate Professor Satya College of Engineering amp Technology Haryana India
Dr U C Srivastava
Associate Professor Department of Applied Physics Amity Institute of Applied Sciences Amity University Noida India
Dr Reena Dadhich
Profamp Head Department of Computer Science and Informatics MBS MArg Near Kabir Circle University of Kota Rajasthan India
Dr AashisSRoy
Department of Materials Engineering Indian Institute of Science Bangalore Karnataka India
Dr Sudhir Nigam
Professor Department of Civil Engineering Principal Lakshmi Narain College of Technology and Science Raisen Road Bhopal
(MP) India
Dr SSenthilkumar
Doctorate Department of Center for Advanced Image and Information Technology Division of Computer Science and Engineering
Graduate School of Electronics and Information Engineering Chon Buk National University Deok Jin-Dong Jeonju Chon Buk 561-
756 South Korea Tamilnadu India
Dr Gufran Ahmad Ansari
Associate Professor Department of Information Technology College of Computer Qassim University Al-Qassim Kingdom of
Saudi Arabia (KSA)
Dr RNavaneethakrishnan
Associate Professor Department of MCA Bharathiyar College of Engg amp Tech Karaikal Puducherry India
Dr Hossein Rajabalipour Cheshmejgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi Skudai
Malaysia
Dr Veronica McGowan
Associate Professor Department of Computer and Business Information Systems Delaware Valley College Doylestown PA Allman
China
Dr Sanjay Sharma
Associate Professor Department of Mathematics Bhilai Institute of Technology Durg Chhattisgarh India
Dr Taghreed Hashim Al-Noor
Professor Department of Chemistry Ibn-Al-Haitham Education for pure Science College University of Baghdad Iraq
Dr Madhumita Dash
Professor Department of Electronics amp Telecommunication Orissa Engineering College BhubaneswarOdisha India
Dr Anita Sagadevan Ethiraj
Associate Professor Department of Centre for Nanotechnology Research (CNR) School of Electronics Engineering (Sense) Vellore
Institute of Technology (VIT) University Tamilnadu India
Dr Sibasis Acharya
Project Consultant Department of Metallurgy amp Mineral Processing Midas Tech International 30 Mukin Street Jindalee-4074
Queensland Australia
Dr Neelam Ruhil
Professor Department of Electronics amp Computer Engineering Dronacharya College of Engineering Gurgaon Haryana India
Dr Faizullah Mahar
Professor Department of Electrical Engineering Balochistan University of Engineering and Technology Pakistan
Dr K Selvaraju
Head PG amp Research Department of Physics Kandaswami Kandars College (Govt Aided) Velur (PO) Namakkal DT Tamil Nadu
India
Dr M K Bhanarkar
Associate Professor Department of Electronics Shivaji University Kolhapur Maharashtra India
Dr Sanjay Hari Sawant
Professor Department of Mechanical Engineering Dr J J Magdum College of Engineering Jaysingpur India
Dr Arindam Ghosal
Professor Department of Mechanical Engineering Dronacharya Group of Institutions B-27 Part-III Knowledge ParkGreater Noida
India
Dr M Chithirai Pon Selvan
Associate Professor Department of Mechanical Engineering School of Engineering amp Information Technology Amity University
Dubai UAE
Dr S Sambhu Prasad
Professor amp Principal Department of Mechanical Engineering Pragati College of Engineering Andhra Pradesh India
Dr Muhammad Attique Khan Shahid
Professor of Physics amp Chairman Department of Physics Advisor (SAAP) at Government Post Graduate College of Science
Faisalabad
Dr Kuldeep Pareta
Professor amp Head Department of Remote SensingGIS amp NRM B-30 Kailash Colony New Delhi 110 048 India
Dr Th Kiranbala Devi
Associate Professor Department of Civil Engineering Manipur Institute of Technology Takyelpat Imphal Manipur India
Dr Nirmala Mungamuru
Associate Professor Department of Computing School of Engineering Adama Science and Technology University Ethiopia
Dr Srilalitha Girija Kumari Sagi
Associate Professor Department of Management Gandhi Institute of Technology and Management India
Dr Vishnu Narayan Mishra
Associate Professor Department of Mathematics Sardar Vallabhbhai National Institute of Technology Ichchhanath Mahadev Dumas
Road Surat (Gujarat) India
Dr Yash Pal Singh
DirectorPrincipal Somany (PG) Institute of Technology amp Management Garhi Bolni Road Rewari Haryana India
Dr Sripada Rama Sree
Vice Principal Associate Professor Department of Computer Science and Engineering Aditya Engineering College Surampalem
Andhra Pradesh India
Dr Rustom Mamlook
Associate Professor Department of Electrical and Computer Engineering Dhofar University Salalah Oman Middle East
Dr Ramzi Raphael Ibraheem Al Barwari
Assistant Professor Department of Mechanical Engineering College of Engineering Salahaddin University ndash Hawler (SUH) Erbil ndash
Kurdistan Erbil Iraq
Dr Kapil Chandra Agarwal
HOD amp Professor Department of Applied Sciences amp Humanities Radha Govind Engineering College U P Technical University
Jai Bheem Nagar Meerut (UP) India
Dr Anil Kumar Tripathy
Associate Professor Department of Environmental Science amp Engineering Ghanashyama Hemalata Institute of Technology and
Management Puri Odisha India
Managing Editor
Mr Jitendra Kumar Sen
International Journal of Recent Technology and Engineering (IJRTE)
Editorial Board
Dr Soni Changlani
Professor Department of Electronics amp Communication Lakshmi Narain College of Technology amp Science Bhopal (MP) India
Dr M M Manyuchi
Professor Department Chemical and Process Systems Engineering Lecturer-Harare Institute of Technology Zimbabwe
Dr John Kaiser S Calautit
Professor Department Civil Engineering School of Civil Engineering University of Leeds LS2 9JT Leeds United Kingdom
Dr Audai Hussein Al-Abbas
Deputy Head Department AL-Musaib Technical College Foundation of Technical EducationBabylon Iraq
Dr Şeref Doğuşcan Akbaş
Professor Department Civil Engineering Şehit Muhtar Mah Oumlğuumlt Sok No237 Beyoğlu Istanbul Turkey
Dr H S Behera
Associate Professor Department Computer Science amp Engineering Veer Surendra Sai University of Technology (VSSUT) A Unitary
Technical University Established by the Government of Odisha India
Dr Rajeev Tiwari
Associate Professor Department Computer Science amp Engineering University of Petroleum amp Energy Studies (UPES) Bidholi
Uttrakhand India
Dr Piyush Kumar Shukla
Assoc Professor Department of Computer Science and Engineering University Institute of Technology RGPV Bhopal (MP) India
Dr Piyush Lotia
AssocProfessor Department of Electronics and Instrumentation Shankaracharya College of Engineering and Technology Bhilai
(CG) India
Dr Asha Rai
Assoc Professor Department of Communication Skils Technocrat Institute of Technology Bhopal (MP) India
Dr Vahid Nourani
Assoc Professor Department of Civil Engineering University of Minnesota USA
Dr Hung-Wei Wu
Assoc Professor Department of Computer and Communication Kun Shan University Taiwan
Dr Vuda Sreenivasarao
Associate Professor Department of Computr And Information Technology Defence University College Debrezeit Ethiopia India
Dr Sanjay Bhargava
Assoc Professor Department of Computer Science Banasthali University Jaipur India
Dr Sanjoy Deb
Assoc Professor Department of ECE BIT Sathy Sathyamangalam Tamilnadu India
Dr Papita Das (Saha)
Assoc Professor Department of Biotechnology National Institute of Technology Duragpur India
Dr Waail Mahmod Lafta Al-waely
Assoc Professor Department of Mechatronics Engineering Al-Mustafa University College ndash Plastain Street near AL-SAAKKRA
square- Baghdad - Iraq
Dr P P Satya Paul Kumar
Assoc Professor Department of Physical Education amp Sports Sciences University College of Physical Education amp Sports Sciences
Guntur
Dr Sohrab Mirsaeidi
Associate Professor Department of Electrical Engineering Universiti Teknologi Malaysia (UTM) Skudai Johor Malaysia
Dr Ehsan Noroozinejad Farsangi
Associate Professor Department of Civil Engineering International Institute of Earthquake Engineering and Seismology (IIEES)
Farmanieh Tehran - Iran
Dr Omed Ghareb Abdullah
Associate Professor Department of Physics School of Science University of Sulaimani Iraq
Dr Khaled Eskaf
Associate Professor Department of Computer Engineering College of Computing and Information Technology Alexandria Egypt
Dr Nitin W Ingole
Associate Professor amp Head Department of Civil Engineering Prof Ram Meghe Institute of Technology and Research Badnera
Amravati
Dr P K Gupta
Associate Professor Department of Computer Science and Engineering Jaypee University of Information Technology PO Dumehar
Bani Solan India
Dr PGanesh Kumar
Associate Professor Department of Electronics amp Communication Sri Krishna College of Engineering and Technology Linyi Top
Network Co Ltd Linyi Shandong Provience China
Dr Santhosh K V
Associate Professor Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Karnataka
India
Dr Subhendu Kumar Pani
Assoc Professor Department of Computer Science and Engineering Orissa Engineering College India
Dr Syed Asif Ali
Professor Chairman Department of Computer Science SMI University Karachi Pakistan
Dr Vilas Warudkar
Assoc Professor Department of Mechanical Engineering Maulana Azad National Institute of Technology Bhopal India
Dr S Chandra Mohan Reddy
Associate Professor amp Head Department of Electronics amp Communication Engineering JNTUA College of Engineering
(Autonomous) Cuddapah Andhra Pradesh India
Dr V Chittaranjan Das
Associate Professor Department of Mechanical Engineering RVR amp JC College of Engineering Guntur Andhra Pradesh India
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr T Jayanthy
Principal Panimalar Institute of Technology Chennai (TN) India
Dr Umesh AS
Director Technocrats Institute of Technology amp Science Bhopal(MP) India
Dr B Kanagasabapathi
Infosys Labs Infosys Limited Center for Advance Modeling and Simulation Infosys Labs Infosys Limited Electronics City
Bangalore India
Dr CB Gupta
Professor Department of Mathematics Birla Institute of Technology amp Sciences Pilani (Rajasthan) India
Dr Sunandan Bhunia
Associate Professor amp Head Dept of Electronics amp Communication Engineering Haldia Institute of Technology Haldia West
Bengal India
Dr Jaydeb Bhaumik
Associate Professor Dept of Electronics amp Communication Engineering Haldia Institute of Technology Haldia West Bengal India
Dr Rajesh Das
Associate Professor School of Applied Sciences Haldia Institute of Technology Haldia West Bengal India
Dr Mrutyunjaya Panda
Professor amp Head Department of EEE Gandhi Institute for Technological Development Bhubaneswar Odisha India
Dr Mohd Nazri Ismail
Associate Professor Department of System and Networking University of Kuala (UniKL) Kuala Lumpur Malaysia
Dr Haw Su Cheng
Faculty of Information Technology Multimedia University (MMU) Jalan Multimedia 63100 Cyberjaya
Dr Hossein Rajabalipour Cheshmehgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi
Malaysia (UTM) 81310 Skudai Malaysia
Dr Sudhinder Singh Chowhan
Associate Professor Institute of Management and Computer Science NIMS University Jaipur (Rajasthan) India
Dr Neeta Sharma
Professor amp Head Department of Communication Skils Technocrat Institute of Technology Bhopal(MP) India
Dr Ashish Rastogi
Associate Professor Department of CSIT Guru Ghansi Das University Bilaspur (CG) India
Dr Santosh Kumar Nanda
Professor Department of Computer Science and Engineering Eastern Academy of Science and Technology (EAST) Khurda (Orisa)
India
Dr Hai Shanker Hota
Associate Professor Department of CSIT Guru Ghansi Das University Bilaspur (CG) India
Dr Sunil Kumar Singla
Professor Department of Electrical and Instrumentation Engineering Thapar University Patiala (Punjab) India
Dr A K Verma
Professor Department of Computer Science and Engineering Thapar University Patiala (Punjab) India
Dr Durgesh Mishra
Chairman IEEE Computer Society Chapter Bombay Section Chairman IEEE MP Subsection Professor amp Dean (RampD) Acropolis
Institute of Technology Indore (MP) India
Dr Xiaoguang Yue
Associate Professor College of Computer and Information Southwest Forestry University Kunming (Yunnan) China
Dr Veronica Mc Gowan
Associate Professor Department of Computer and Business Information SystemsDelaware Valley College Doylestown PA Allman
China
Dr Mohd Ali Hussain
Professor Department of Computer Science and Engineering Sri Sai Madhavi Institute of Science amp Technology Rajahmundry
(AP) India
Dr Mohd Nazri Ismail
Professor System and Networking Department Jalan Sultan Ismail Kaula Lumpur MALAYSIA
Dr Sunil Mishra
Associate Professor Department of Communication Skills (English) Dronacharya College of Engineering Farrukhnagar Gurgaon
(Haryana) India
Dr Labib Francis Gergis Rofaiel
Associate Professor Department of Digital Communications and Electronics Misr Academy for Engineering and Technology
Mansoura City Egypt
Dr Pavol Tanuska
Associate Professor Department of Applied Informetics Automation and Mathematics Trnava Slovakia
Dr VS Giridhar Akula
Professor Avanthis Research amp Technological Academy Gunthapally Hyderabad Andhra Pradesh India
Dr S Satyanarayana
Associate Professor Department of Computer Science and Engineering KL University Guntur Andhra Pradesh India
Dr Bhupendra Kumar Sharma
Associate Professor Department of Mathematics KL University BITS Pilani India
Dr Praveen Agarwal
Associate Professoramp Head Department of Mathematics Anand International College of Engineering Jaipur (Rajasthan) India
Dr Manoj Kumar
Professor Department of Mathematics Rashtriya Kishan Post Graduate Degree College Shamli Prabudh Nagar (UP) India
Dr Shaikh Abdul Hannan
Associate Professor Department of Computer Science Vivekanand Arts Sardar Dalipsing Arts and Science College Aurangabad
(Maharashtra) India
Dr KM Pandey
Professor Department of Mechanical EngineeringNational Institute of Technology Silchar India
Prof Pranav Parashar
Technical Advisor International Journal of Soft Computing and Engineering (IJSCE) Bhopal (MP) India
Dr Biswajit Chakraborty
MECON Limited Research and Development Division (A Govt of India Enterprise) Ranchi-834002 Jharkhand India
Dr DV Ashoka
Professor amp Head Department of Information Science amp Engineering SJB Institute of Technology Kengeri Bangalore India
Dr Sasidhar Babu Suvanam
Professor amp Academic Cordinator Department of Computer Science amp Engineering Sree Narayana Gurukulam College of
Engineering Kadayiuruppu Kolenchery Kerala India
Dr C Venkatesh
Professor amp Dean Faculty of Engineering EBET Group of Institutions Kangayam Erode Caimbatore (Tamil Nadu) India
Dr Nilay Khare
Assoc Professor amp Head Department of Computer Science MANIT Bhopal (MP) India
Dr Sandra De Iaco
Professor Dipto Di Scienze DellrsquoEconomia-Sez Matematico-Statistica Italy
Dr Yaduvir Singh
Associate Professor Department of Computer Science amp Engineering Ideal Institute of Technology Govindpuram Ghaziabad
Lucknow (UP) India
Dr Angela Amphawan
Head of Optical Technology School of Computing School Of Computing Universiti Utara Malaysia 06010 Sintok Kedah Malaysia
Dr Ashwini Kumar Arya
Associate Professor Department of Electronics amp Communication Engineering Faculty of Engineering and TechnologyGraphic Era
University Dehradun (UK) India
Dr Yash Pal Singh
Professor Department of Electronics amp Communication Engg Director KLS Institute Of Enggamp Technology Director KLSIET
Chandok Bijnor (UP) India
Dr Ashish Jain
Associate Professor Department of Computer Science amp Engineering Accurate Institute of Management amp Technology Gr Noida
(UP) India
Dr Abhay Saxena
Associate ProfessorampHead Department of Computer Science Dev Sanskriti University Haridwar Uttrakhand India
Dr Judy MV
Associate Professor Head of the Department CS ampIT Amrita School of Arts and Sciences Amrita Vishwa Vidyapeetham
Brahmasthanam Edapally Cochin Kerala India
Dr Sangkyun Kim
Professor Department of Industrial Engineering Kangwon National University Hyoja 2 dong Chunche0nsi Gangwondo Korea
Dr Sanjay M Gulhane
Professor Department of Electronics amp Telecommunication Engineering Jawaharlal Darda Institute of Engineering amp Technology
Yavatmal Maharastra India
Dr KK Thyagharajan
Principal amp Professor Department of Informational Technology RMK College of Engineering amp Technology RSM Nagar
Thiruyallur Tamil Nadu India
Dr P Subashini
Asso Professor Department of Computer Science Coimbatore India
Dr G Srinivasrao
Professor Department of Mechanical Engineering RVR amp JC College of Engineering Chowdavaram Guntur India
Dr Rajesh Verma
Professor Department of Computer Science amp Engg and Deptt of Information Technology Kurukshetra Institute of Technology amp
Management Bhor Sadian Pehowa Kurukshetra (Haryana) India
Dr Pawan Kumar Shukla
Associate Professor Satya College of Engineering amp Technology Haryana India
Dr U C Srivastava
Associate Professor Department of Applied Physics Amity Institute of Applied Sciences Amity University Noida India
Dr Reena Dadhich
Profamp Head Department of Computer Science and Informatics MBS MArg Near Kabir Circle University of Kota Rajasthan India
Dr AashisSRoy
Department of Materials Engineering Indian Institute of Science Bangalore Karnataka India
Dr Sudhir Nigam
Professor Department of Civil Engineering Principal Lakshmi Narain College of Technology and Science Raisen Road Bhopal
(MP) India
Dr SSenthilkumar
Doctorate Department of Center for Advanced Image and Information Technology Division of Computer Science and Engineering
Graduate School of Electronics and Information Engineering Chon Buk National University Deok Jin-Dong Jeonju Chon Buk 561-
756 South Korea Tamilnadu India
Dr Gufran Ahmad Ansari
Associate Professor Department of Information Technology College of Computer Qassim University Al-Qassim Kingdom of
Saudi Arabia (KSA)
Dr RNavaneethakrishnan
Associate Professor Department of MCA Bharathiyar College of Engg amp Tech Karaikal Puducherry India
Dr Hossein Rajabalipour Cheshmejgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi Skudai
Malaysia
Dr Veronica McGowan
Associate Professor Department of Computer and Business Information Systems Delaware Valley College Doylestown PA Allman
China
Dr Sanjay Sharma
Associate Professor Department of Mathematics Bhilai Institute of Technology Durg Chhattisgarh India
Dr Taghreed Hashim Al-Noor
Professor Department of Chemistry Ibn-Al-Haitham Education for pure Science College University of Baghdad Iraq
Dr Madhumita Dash
Professor Department of Electronics amp Telecommunication Orissa Engineering College BhubaneswarOdisha India
Dr Anita Sagadevan Ethiraj
Associate Professor Department of Centre for Nanotechnology Research (CNR) School of Electronics Engineering (Sense) Vellore
Institute of Technology (VIT) University Tamilnadu India
Dr Sibasis Acharya
Project Consultant Department of Metallurgy amp Mineral Processing Midas Tech International 30 Mukin Street Jindalee-4074
Queensland Australia
Dr Neelam Ruhil
Professor Department of Electronics amp Computer Engineering Dronacharya College of Engineering Gurgaon Haryana India
Dr Faizullah Mahar
Professor Department of Electrical Engineering Balochistan University of Engineering and Technology Pakistan
Dr K Selvaraju
Head PG amp Research Department of Physics Kandaswami Kandars College (Govt Aided) Velur (PO) Namakkal DT Tamil Nadu
India
Dr M K Bhanarkar
Associate Professor Department of Electronics Shivaji University Kolhapur Maharashtra India
Dr Sanjay Hari Sawant
Professor Department of Mechanical Engineering Dr J J Magdum College of Engineering Jaysingpur India
Dr Arindam Ghosal
Professor Department of Mechanical Engineering Dronacharya Group of Institutions B-27 Part-III Knowledge ParkGreater Noida
India
Dr M Chithirai Pon Selvan
Associate Professor Department of Mechanical Engineering School of Engineering amp Information Technology Amity University
Dubai UAE
Dr S Sambhu Prasad
Professor amp Principal Department of Mechanical Engineering Pragati College of Engineering Andhra Pradesh India
Dr Muhammad Attique Khan Shahid
Professor of Physics amp Chairman Department of Physics Advisor (SAAP) at Government Post Graduate College of Science
Faisalabad
Dr Kuldeep Pareta
Professor amp Head Department of Remote SensingGIS amp NRM B-30 Kailash Colony New Delhi 110 048 India
Dr Th Kiranbala Devi
Associate Professor Department of Civil Engineering Manipur Institute of Technology Takyelpat Imphal Manipur India
Dr Nirmala Mungamuru
Associate Professor Department of Computing School of Engineering Adama Science and Technology University Ethiopia
Dr Srilalitha Girija Kumari Sagi
Associate Professor Department of Management Gandhi Institute of Technology and Management India
Dr Vishnu Narayan Mishra
Associate Professor Department of Mathematics Sardar Vallabhbhai National Institute of Technology Ichchhanath Mahadev Dumas
Road Surat (Gujarat) India
Dr Yash Pal Singh
DirectorPrincipal Somany (PG) Institute of Technology amp Management Garhi Bolni Road Rewari Haryana India
Dr Sripada Rama Sree
Vice Principal Associate Professor Department of Computer Science and Engineering Aditya Engineering College Surampalem
Andhra Pradesh India
Dr Rustom Mamlook
Associate Professor Department of Electrical and Computer Engineering Dhofar University Salalah Oman Middle East
Dr Ramzi Raphael Ibraheem Al Barwari
Assistant Professor Department of Mechanical Engineering College of Engineering Salahaddin University ndash Hawler (SUH) Erbil ndash
Kurdistan Erbil Iraq
Dr Kapil Chandra Agarwal
HOD amp Professor Department of Applied Sciences amp Humanities Radha Govind Engineering College U P Technical University
Jai Bheem Nagar Meerut (UP) India
Dr Anil Kumar Tripathy
Associate Professor Department of Environmental Science amp Engineering Ghanashyama Hemalata Institute of Technology and
Management Puri Odisha India
Managing Editor
Mr Jitendra Kumar Sen
International Journal of Recent Technology and Engineering (IJRTE)
Editorial Board
Dr Soni Changlani
Professor Department of Electronics amp Communication Lakshmi Narain College of Technology amp Science Bhopal (MP) India
Dr M M Manyuchi
Professor Department Chemical and Process Systems Engineering Lecturer-Harare Institute of Technology Zimbabwe
Dr John Kaiser S Calautit
Professor Department Civil Engineering School of Civil Engineering University of Leeds LS2 9JT Leeds United Kingdom
Dr Audai Hussein Al-Abbas
Deputy Head Department AL-Musaib Technical College Foundation of Technical EducationBabylon Iraq
Dr Şeref Doğuşcan Akbaş
Professor Department Civil Engineering Şehit Muhtar Mah Oumlğuumlt Sok No237 Beyoğlu Istanbul Turkey
Dr H S Behera
Associate Professor Department Computer Science amp Engineering Veer Surendra Sai University of Technology (VSSUT) A Unitary
Technical University Established by the Government of Odisha India
Dr Rajeev Tiwari
Associate Professor Department Computer Science amp Engineering University of Petroleum amp Energy Studies (UPES) Bidholi
Uttrakhand India
Dr Piyush Kumar Shukla
Assoc Professor Department of Computer Science and Engineering University Institute of Technology RGPV Bhopal (MP) India
Dr Piyush Lotia
AssocProfessor Department of Electronics and Instrumentation Shankaracharya College of Engineering and Technology Bhilai
(CG) India
Dr Asha Rai
Assoc Professor Department of Communication Skils Technocrat Institute of Technology Bhopal (MP) India
Dr Vahid Nourani
Assoc Professor Department of Civil Engineering University of Minnesota USA
Dr Hung-Wei Wu
Assoc Professor Department of Computer and Communication Kun Shan University Taiwan
Dr Vuda Sreenivasarao
Associate Professor Department of Computr And Information Technology Defence University College Debrezeit Ethiopia India
Dr Sanjay Bhargava
Assoc Professor Department of Computer Science Banasthali University Jaipur India
Dr Sanjoy Deb
Assoc Professor Department of ECE BIT Sathy Sathyamangalam Tamilnadu India
Dr Papita Das (Saha)
Assoc Professor Department of Biotechnology National Institute of Technology Duragpur India
Dr Waail Mahmod Lafta Al-waely
Assoc Professor Department of Mechatronics Engineering Al-Mustafa University College ndash Plastain Street near AL-SAAKKRA
square- Baghdad - Iraq
Dr P P Satya Paul Kumar
Assoc Professor Department of Physical Education amp Sports Sciences University College of Physical Education amp Sports Sciences
Guntur
Dr Sohrab Mirsaeidi
Associate Professor Department of Electrical Engineering Universiti Teknologi Malaysia (UTM) Skudai Johor Malaysia
Dr Ehsan Noroozinejad Farsangi
Associate Professor Department of Civil Engineering International Institute of Earthquake Engineering and Seismology (IIEES)
Farmanieh Tehran - Iran
Dr Omed Ghareb Abdullah
Associate Professor Department of Physics School of Science University of Sulaimani Iraq
Dr Khaled Eskaf
Associate Professor Department of Computer Engineering College of Computing and Information Technology Alexandria Egypt
Dr Nitin W Ingole
Associate Professor amp Head Department of Civil Engineering Prof Ram Meghe Institute of Technology and Research Badnera
Amravati
Dr P K Gupta
Associate Professor Department of Computer Science and Engineering Jaypee University of Information Technology PO Dumehar
Bani Solan India
Dr PGanesh Kumar
Associate Professor Department of Electronics amp Communication Sri Krishna College of Engineering and Technology Linyi Top
Network Co Ltd Linyi Shandong Provience China
Dr Santhosh K V
Associate Professor Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Karnataka
India
Dr Subhendu Kumar Pani
Assoc Professor Department of Computer Science and Engineering Orissa Engineering College India
Dr Syed Asif Ali
Professor Chairman Department of Computer Science SMI University Karachi Pakistan
Dr Vilas Warudkar
Assoc Professor Department of Mechanical Engineering Maulana Azad National Institute of Technology Bhopal India
Dr S Chandra Mohan Reddy
Associate Professor amp Head Department of Electronics amp Communication Engineering JNTUA College of Engineering
(Autonomous) Cuddapah Andhra Pradesh India
Dr V Chittaranjan Das
Associate Professor Department of Mechanical Engineering RVR amp JC College of Engineering Guntur Andhra Pradesh India
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr Mohd Ali Hussain
Professor Department of Computer Science and Engineering Sri Sai Madhavi Institute of Science amp Technology Rajahmundry
(AP) India
Dr Mohd Nazri Ismail
Professor System and Networking Department Jalan Sultan Ismail Kaula Lumpur MALAYSIA
Dr Sunil Mishra
Associate Professor Department of Communication Skills (English) Dronacharya College of Engineering Farrukhnagar Gurgaon
(Haryana) India
Dr Labib Francis Gergis Rofaiel
Associate Professor Department of Digital Communications and Electronics Misr Academy for Engineering and Technology
Mansoura City Egypt
Dr Pavol Tanuska
Associate Professor Department of Applied Informetics Automation and Mathematics Trnava Slovakia
Dr VS Giridhar Akula
Professor Avanthis Research amp Technological Academy Gunthapally Hyderabad Andhra Pradesh India
Dr S Satyanarayana
Associate Professor Department of Computer Science and Engineering KL University Guntur Andhra Pradesh India
Dr Bhupendra Kumar Sharma
Associate Professor Department of Mathematics KL University BITS Pilani India
Dr Praveen Agarwal
Associate Professoramp Head Department of Mathematics Anand International College of Engineering Jaipur (Rajasthan) India
Dr Manoj Kumar
Professor Department of Mathematics Rashtriya Kishan Post Graduate Degree College Shamli Prabudh Nagar (UP) India
Dr Shaikh Abdul Hannan
Associate Professor Department of Computer Science Vivekanand Arts Sardar Dalipsing Arts and Science College Aurangabad
(Maharashtra) India
Dr KM Pandey
Professor Department of Mechanical EngineeringNational Institute of Technology Silchar India
Prof Pranav Parashar
Technical Advisor International Journal of Soft Computing and Engineering (IJSCE) Bhopal (MP) India
Dr Biswajit Chakraborty
MECON Limited Research and Development Division (A Govt of India Enterprise) Ranchi-834002 Jharkhand India
Dr DV Ashoka
Professor amp Head Department of Information Science amp Engineering SJB Institute of Technology Kengeri Bangalore India
Dr Sasidhar Babu Suvanam
Professor amp Academic Cordinator Department of Computer Science amp Engineering Sree Narayana Gurukulam College of
Engineering Kadayiuruppu Kolenchery Kerala India
Dr C Venkatesh
Professor amp Dean Faculty of Engineering EBET Group of Institutions Kangayam Erode Caimbatore (Tamil Nadu) India
Dr Nilay Khare
Assoc Professor amp Head Department of Computer Science MANIT Bhopal (MP) India
Dr Sandra De Iaco
Professor Dipto Di Scienze DellrsquoEconomia-Sez Matematico-Statistica Italy
Dr Yaduvir Singh
Associate Professor Department of Computer Science amp Engineering Ideal Institute of Technology Govindpuram Ghaziabad
Lucknow (UP) India
Dr Angela Amphawan
Head of Optical Technology School of Computing School Of Computing Universiti Utara Malaysia 06010 Sintok Kedah Malaysia
Dr Ashwini Kumar Arya
Associate Professor Department of Electronics amp Communication Engineering Faculty of Engineering and TechnologyGraphic Era
University Dehradun (UK) India
Dr Yash Pal Singh
Professor Department of Electronics amp Communication Engg Director KLS Institute Of Enggamp Technology Director KLSIET
Chandok Bijnor (UP) India
Dr Ashish Jain
Associate Professor Department of Computer Science amp Engineering Accurate Institute of Management amp Technology Gr Noida
(UP) India
Dr Abhay Saxena
Associate ProfessorampHead Department of Computer Science Dev Sanskriti University Haridwar Uttrakhand India
Dr Judy MV
Associate Professor Head of the Department CS ampIT Amrita School of Arts and Sciences Amrita Vishwa Vidyapeetham
Brahmasthanam Edapally Cochin Kerala India
Dr Sangkyun Kim
Professor Department of Industrial Engineering Kangwon National University Hyoja 2 dong Chunche0nsi Gangwondo Korea
Dr Sanjay M Gulhane
Professor Department of Electronics amp Telecommunication Engineering Jawaharlal Darda Institute of Engineering amp Technology
Yavatmal Maharastra India
Dr KK Thyagharajan
Principal amp Professor Department of Informational Technology RMK College of Engineering amp Technology RSM Nagar
Thiruyallur Tamil Nadu India
Dr P Subashini
Asso Professor Department of Computer Science Coimbatore India
Dr G Srinivasrao
Professor Department of Mechanical Engineering RVR amp JC College of Engineering Chowdavaram Guntur India
Dr Rajesh Verma
Professor Department of Computer Science amp Engg and Deptt of Information Technology Kurukshetra Institute of Technology amp
Management Bhor Sadian Pehowa Kurukshetra (Haryana) India
Dr Pawan Kumar Shukla
Associate Professor Satya College of Engineering amp Technology Haryana India
Dr U C Srivastava
Associate Professor Department of Applied Physics Amity Institute of Applied Sciences Amity University Noida India
Dr Reena Dadhich
Profamp Head Department of Computer Science and Informatics MBS MArg Near Kabir Circle University of Kota Rajasthan India
Dr AashisSRoy
Department of Materials Engineering Indian Institute of Science Bangalore Karnataka India
Dr Sudhir Nigam
Professor Department of Civil Engineering Principal Lakshmi Narain College of Technology and Science Raisen Road Bhopal
(MP) India
Dr SSenthilkumar
Doctorate Department of Center for Advanced Image and Information Technology Division of Computer Science and Engineering
Graduate School of Electronics and Information Engineering Chon Buk National University Deok Jin-Dong Jeonju Chon Buk 561-
756 South Korea Tamilnadu India
Dr Gufran Ahmad Ansari
Associate Professor Department of Information Technology College of Computer Qassim University Al-Qassim Kingdom of
Saudi Arabia (KSA)
Dr RNavaneethakrishnan
Associate Professor Department of MCA Bharathiyar College of Engg amp Tech Karaikal Puducherry India
Dr Hossein Rajabalipour Cheshmejgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi Skudai
Malaysia
Dr Veronica McGowan
Associate Professor Department of Computer and Business Information Systems Delaware Valley College Doylestown PA Allman
China
Dr Sanjay Sharma
Associate Professor Department of Mathematics Bhilai Institute of Technology Durg Chhattisgarh India
Dr Taghreed Hashim Al-Noor
Professor Department of Chemistry Ibn-Al-Haitham Education for pure Science College University of Baghdad Iraq
Dr Madhumita Dash
Professor Department of Electronics amp Telecommunication Orissa Engineering College BhubaneswarOdisha India
Dr Anita Sagadevan Ethiraj
Associate Professor Department of Centre for Nanotechnology Research (CNR) School of Electronics Engineering (Sense) Vellore
Institute of Technology (VIT) University Tamilnadu India
Dr Sibasis Acharya
Project Consultant Department of Metallurgy amp Mineral Processing Midas Tech International 30 Mukin Street Jindalee-4074
Queensland Australia
Dr Neelam Ruhil
Professor Department of Electronics amp Computer Engineering Dronacharya College of Engineering Gurgaon Haryana India
Dr Faizullah Mahar
Professor Department of Electrical Engineering Balochistan University of Engineering and Technology Pakistan
Dr K Selvaraju
Head PG amp Research Department of Physics Kandaswami Kandars College (Govt Aided) Velur (PO) Namakkal DT Tamil Nadu
India
Dr M K Bhanarkar
Associate Professor Department of Electronics Shivaji University Kolhapur Maharashtra India
Dr Sanjay Hari Sawant
Professor Department of Mechanical Engineering Dr J J Magdum College of Engineering Jaysingpur India
Dr Arindam Ghosal
Professor Department of Mechanical Engineering Dronacharya Group of Institutions B-27 Part-III Knowledge ParkGreater Noida
India
Dr M Chithirai Pon Selvan
Associate Professor Department of Mechanical Engineering School of Engineering amp Information Technology Amity University
Dubai UAE
Dr S Sambhu Prasad
Professor amp Principal Department of Mechanical Engineering Pragati College of Engineering Andhra Pradesh India
Dr Muhammad Attique Khan Shahid
Professor of Physics amp Chairman Department of Physics Advisor (SAAP) at Government Post Graduate College of Science
Faisalabad
Dr Kuldeep Pareta
Professor amp Head Department of Remote SensingGIS amp NRM B-30 Kailash Colony New Delhi 110 048 India
Dr Th Kiranbala Devi
Associate Professor Department of Civil Engineering Manipur Institute of Technology Takyelpat Imphal Manipur India
Dr Nirmala Mungamuru
Associate Professor Department of Computing School of Engineering Adama Science and Technology University Ethiopia
Dr Srilalitha Girija Kumari Sagi
Associate Professor Department of Management Gandhi Institute of Technology and Management India
Dr Vishnu Narayan Mishra
Associate Professor Department of Mathematics Sardar Vallabhbhai National Institute of Technology Ichchhanath Mahadev Dumas
Road Surat (Gujarat) India
Dr Yash Pal Singh
DirectorPrincipal Somany (PG) Institute of Technology amp Management Garhi Bolni Road Rewari Haryana India
Dr Sripada Rama Sree
Vice Principal Associate Professor Department of Computer Science and Engineering Aditya Engineering College Surampalem
Andhra Pradesh India
Dr Rustom Mamlook
Associate Professor Department of Electrical and Computer Engineering Dhofar University Salalah Oman Middle East
Dr Ramzi Raphael Ibraheem Al Barwari
Assistant Professor Department of Mechanical Engineering College of Engineering Salahaddin University ndash Hawler (SUH) Erbil ndash
Kurdistan Erbil Iraq
Dr Kapil Chandra Agarwal
HOD amp Professor Department of Applied Sciences amp Humanities Radha Govind Engineering College U P Technical University
Jai Bheem Nagar Meerut (UP) India
Dr Anil Kumar Tripathy
Associate Professor Department of Environmental Science amp Engineering Ghanashyama Hemalata Institute of Technology and
Management Puri Odisha India
Managing Editor
Mr Jitendra Kumar Sen
International Journal of Recent Technology and Engineering (IJRTE)
Editorial Board
Dr Soni Changlani
Professor Department of Electronics amp Communication Lakshmi Narain College of Technology amp Science Bhopal (MP) India
Dr M M Manyuchi
Professor Department Chemical and Process Systems Engineering Lecturer-Harare Institute of Technology Zimbabwe
Dr John Kaiser S Calautit
Professor Department Civil Engineering School of Civil Engineering University of Leeds LS2 9JT Leeds United Kingdom
Dr Audai Hussein Al-Abbas
Deputy Head Department AL-Musaib Technical College Foundation of Technical EducationBabylon Iraq
Dr Şeref Doğuşcan Akbaş
Professor Department Civil Engineering Şehit Muhtar Mah Oumlğuumlt Sok No237 Beyoğlu Istanbul Turkey
Dr H S Behera
Associate Professor Department Computer Science amp Engineering Veer Surendra Sai University of Technology (VSSUT) A Unitary
Technical University Established by the Government of Odisha India
Dr Rajeev Tiwari
Associate Professor Department Computer Science amp Engineering University of Petroleum amp Energy Studies (UPES) Bidholi
Uttrakhand India
Dr Piyush Kumar Shukla
Assoc Professor Department of Computer Science and Engineering University Institute of Technology RGPV Bhopal (MP) India
Dr Piyush Lotia
AssocProfessor Department of Electronics and Instrumentation Shankaracharya College of Engineering and Technology Bhilai
(CG) India
Dr Asha Rai
Assoc Professor Department of Communication Skils Technocrat Institute of Technology Bhopal (MP) India
Dr Vahid Nourani
Assoc Professor Department of Civil Engineering University of Minnesota USA
Dr Hung-Wei Wu
Assoc Professor Department of Computer and Communication Kun Shan University Taiwan
Dr Vuda Sreenivasarao
Associate Professor Department of Computr And Information Technology Defence University College Debrezeit Ethiopia India
Dr Sanjay Bhargava
Assoc Professor Department of Computer Science Banasthali University Jaipur India
Dr Sanjoy Deb
Assoc Professor Department of ECE BIT Sathy Sathyamangalam Tamilnadu India
Dr Papita Das (Saha)
Assoc Professor Department of Biotechnology National Institute of Technology Duragpur India
Dr Waail Mahmod Lafta Al-waely
Assoc Professor Department of Mechatronics Engineering Al-Mustafa University College ndash Plastain Street near AL-SAAKKRA
square- Baghdad - Iraq
Dr P P Satya Paul Kumar
Assoc Professor Department of Physical Education amp Sports Sciences University College of Physical Education amp Sports Sciences
Guntur
Dr Sohrab Mirsaeidi
Associate Professor Department of Electrical Engineering Universiti Teknologi Malaysia (UTM) Skudai Johor Malaysia
Dr Ehsan Noroozinejad Farsangi
Associate Professor Department of Civil Engineering International Institute of Earthquake Engineering and Seismology (IIEES)
Farmanieh Tehran - Iran
Dr Omed Ghareb Abdullah
Associate Professor Department of Physics School of Science University of Sulaimani Iraq
Dr Khaled Eskaf
Associate Professor Department of Computer Engineering College of Computing and Information Technology Alexandria Egypt
Dr Nitin W Ingole
Associate Professor amp Head Department of Civil Engineering Prof Ram Meghe Institute of Technology and Research Badnera
Amravati
Dr P K Gupta
Associate Professor Department of Computer Science and Engineering Jaypee University of Information Technology PO Dumehar
Bani Solan India
Dr PGanesh Kumar
Associate Professor Department of Electronics amp Communication Sri Krishna College of Engineering and Technology Linyi Top
Network Co Ltd Linyi Shandong Provience China
Dr Santhosh K V
Associate Professor Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Karnataka
India
Dr Subhendu Kumar Pani
Assoc Professor Department of Computer Science and Engineering Orissa Engineering College India
Dr Syed Asif Ali
Professor Chairman Department of Computer Science SMI University Karachi Pakistan
Dr Vilas Warudkar
Assoc Professor Department of Mechanical Engineering Maulana Azad National Institute of Technology Bhopal India
Dr S Chandra Mohan Reddy
Associate Professor amp Head Department of Electronics amp Communication Engineering JNTUA College of Engineering
(Autonomous) Cuddapah Andhra Pradesh India
Dr V Chittaranjan Das
Associate Professor Department of Mechanical Engineering RVR amp JC College of Engineering Guntur Andhra Pradesh India
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr Ashwini Kumar Arya
Associate Professor Department of Electronics amp Communication Engineering Faculty of Engineering and TechnologyGraphic Era
University Dehradun (UK) India
Dr Yash Pal Singh
Professor Department of Electronics amp Communication Engg Director KLS Institute Of Enggamp Technology Director KLSIET
Chandok Bijnor (UP) India
Dr Ashish Jain
Associate Professor Department of Computer Science amp Engineering Accurate Institute of Management amp Technology Gr Noida
(UP) India
Dr Abhay Saxena
Associate ProfessorampHead Department of Computer Science Dev Sanskriti University Haridwar Uttrakhand India
Dr Judy MV
Associate Professor Head of the Department CS ampIT Amrita School of Arts and Sciences Amrita Vishwa Vidyapeetham
Brahmasthanam Edapally Cochin Kerala India
Dr Sangkyun Kim
Professor Department of Industrial Engineering Kangwon National University Hyoja 2 dong Chunche0nsi Gangwondo Korea
Dr Sanjay M Gulhane
Professor Department of Electronics amp Telecommunication Engineering Jawaharlal Darda Institute of Engineering amp Technology
Yavatmal Maharastra India
Dr KK Thyagharajan
Principal amp Professor Department of Informational Technology RMK College of Engineering amp Technology RSM Nagar
Thiruyallur Tamil Nadu India
Dr P Subashini
Asso Professor Department of Computer Science Coimbatore India
Dr G Srinivasrao
Professor Department of Mechanical Engineering RVR amp JC College of Engineering Chowdavaram Guntur India
Dr Rajesh Verma
Professor Department of Computer Science amp Engg and Deptt of Information Technology Kurukshetra Institute of Technology amp
Management Bhor Sadian Pehowa Kurukshetra (Haryana) India
Dr Pawan Kumar Shukla
Associate Professor Satya College of Engineering amp Technology Haryana India
Dr U C Srivastava
Associate Professor Department of Applied Physics Amity Institute of Applied Sciences Amity University Noida India
Dr Reena Dadhich
Profamp Head Department of Computer Science and Informatics MBS MArg Near Kabir Circle University of Kota Rajasthan India
Dr AashisSRoy
Department of Materials Engineering Indian Institute of Science Bangalore Karnataka India
Dr Sudhir Nigam
Professor Department of Civil Engineering Principal Lakshmi Narain College of Technology and Science Raisen Road Bhopal
(MP) India
Dr SSenthilkumar
Doctorate Department of Center for Advanced Image and Information Technology Division of Computer Science and Engineering
Graduate School of Electronics and Information Engineering Chon Buk National University Deok Jin-Dong Jeonju Chon Buk 561-
756 South Korea Tamilnadu India
Dr Gufran Ahmad Ansari
Associate Professor Department of Information Technology College of Computer Qassim University Al-Qassim Kingdom of
Saudi Arabia (KSA)
Dr RNavaneethakrishnan
Associate Professor Department of MCA Bharathiyar College of Engg amp Tech Karaikal Puducherry India
Dr Hossein Rajabalipour Cheshmejgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi Skudai
Malaysia
Dr Veronica McGowan
Associate Professor Department of Computer and Business Information Systems Delaware Valley College Doylestown PA Allman
China
Dr Sanjay Sharma
Associate Professor Department of Mathematics Bhilai Institute of Technology Durg Chhattisgarh India
Dr Taghreed Hashim Al-Noor
Professor Department of Chemistry Ibn-Al-Haitham Education for pure Science College University of Baghdad Iraq
Dr Madhumita Dash
Professor Department of Electronics amp Telecommunication Orissa Engineering College BhubaneswarOdisha India
Dr Anita Sagadevan Ethiraj
Associate Professor Department of Centre for Nanotechnology Research (CNR) School of Electronics Engineering (Sense) Vellore
Institute of Technology (VIT) University Tamilnadu India
Dr Sibasis Acharya
Project Consultant Department of Metallurgy amp Mineral Processing Midas Tech International 30 Mukin Street Jindalee-4074
Queensland Australia
Dr Neelam Ruhil
Professor Department of Electronics amp Computer Engineering Dronacharya College of Engineering Gurgaon Haryana India
Dr Faizullah Mahar
Professor Department of Electrical Engineering Balochistan University of Engineering and Technology Pakistan
Dr K Selvaraju
Head PG amp Research Department of Physics Kandaswami Kandars College (Govt Aided) Velur (PO) Namakkal DT Tamil Nadu
India
Dr M K Bhanarkar
Associate Professor Department of Electronics Shivaji University Kolhapur Maharashtra India
Dr Sanjay Hari Sawant
Professor Department of Mechanical Engineering Dr J J Magdum College of Engineering Jaysingpur India
Dr Arindam Ghosal
Professor Department of Mechanical Engineering Dronacharya Group of Institutions B-27 Part-III Knowledge ParkGreater Noida
India
Dr M Chithirai Pon Selvan
Associate Professor Department of Mechanical Engineering School of Engineering amp Information Technology Amity University
Dubai UAE
Dr S Sambhu Prasad
Professor amp Principal Department of Mechanical Engineering Pragati College of Engineering Andhra Pradesh India
Dr Muhammad Attique Khan Shahid
Professor of Physics amp Chairman Department of Physics Advisor (SAAP) at Government Post Graduate College of Science
Faisalabad
Dr Kuldeep Pareta
Professor amp Head Department of Remote SensingGIS amp NRM B-30 Kailash Colony New Delhi 110 048 India
Dr Th Kiranbala Devi
Associate Professor Department of Civil Engineering Manipur Institute of Technology Takyelpat Imphal Manipur India
Dr Nirmala Mungamuru
Associate Professor Department of Computing School of Engineering Adama Science and Technology University Ethiopia
Dr Srilalitha Girija Kumari Sagi
Associate Professor Department of Management Gandhi Institute of Technology and Management India
Dr Vishnu Narayan Mishra
Associate Professor Department of Mathematics Sardar Vallabhbhai National Institute of Technology Ichchhanath Mahadev Dumas
Road Surat (Gujarat) India
Dr Yash Pal Singh
DirectorPrincipal Somany (PG) Institute of Technology amp Management Garhi Bolni Road Rewari Haryana India
Dr Sripada Rama Sree
Vice Principal Associate Professor Department of Computer Science and Engineering Aditya Engineering College Surampalem
Andhra Pradesh India
Dr Rustom Mamlook
Associate Professor Department of Electrical and Computer Engineering Dhofar University Salalah Oman Middle East
Dr Ramzi Raphael Ibraheem Al Barwari
Assistant Professor Department of Mechanical Engineering College of Engineering Salahaddin University ndash Hawler (SUH) Erbil ndash
Kurdistan Erbil Iraq
Dr Kapil Chandra Agarwal
HOD amp Professor Department of Applied Sciences amp Humanities Radha Govind Engineering College U P Technical University
Jai Bheem Nagar Meerut (UP) India
Dr Anil Kumar Tripathy
Associate Professor Department of Environmental Science amp Engineering Ghanashyama Hemalata Institute of Technology and
Management Puri Odisha India
Managing Editor
Mr Jitendra Kumar Sen
International Journal of Recent Technology and Engineering (IJRTE)
Editorial Board
Dr Soni Changlani
Professor Department of Electronics amp Communication Lakshmi Narain College of Technology amp Science Bhopal (MP) India
Dr M M Manyuchi
Professor Department Chemical and Process Systems Engineering Lecturer-Harare Institute of Technology Zimbabwe
Dr John Kaiser S Calautit
Professor Department Civil Engineering School of Civil Engineering University of Leeds LS2 9JT Leeds United Kingdom
Dr Audai Hussein Al-Abbas
Deputy Head Department AL-Musaib Technical College Foundation of Technical EducationBabylon Iraq
Dr Şeref Doğuşcan Akbaş
Professor Department Civil Engineering Şehit Muhtar Mah Oumlğuumlt Sok No237 Beyoğlu Istanbul Turkey
Dr H S Behera
Associate Professor Department Computer Science amp Engineering Veer Surendra Sai University of Technology (VSSUT) A Unitary
Technical University Established by the Government of Odisha India
Dr Rajeev Tiwari
Associate Professor Department Computer Science amp Engineering University of Petroleum amp Energy Studies (UPES) Bidholi
Uttrakhand India
Dr Piyush Kumar Shukla
Assoc Professor Department of Computer Science and Engineering University Institute of Technology RGPV Bhopal (MP) India
Dr Piyush Lotia
AssocProfessor Department of Electronics and Instrumentation Shankaracharya College of Engineering and Technology Bhilai
(CG) India
Dr Asha Rai
Assoc Professor Department of Communication Skils Technocrat Institute of Technology Bhopal (MP) India
Dr Vahid Nourani
Assoc Professor Department of Civil Engineering University of Minnesota USA
Dr Hung-Wei Wu
Assoc Professor Department of Computer and Communication Kun Shan University Taiwan
Dr Vuda Sreenivasarao
Associate Professor Department of Computr And Information Technology Defence University College Debrezeit Ethiopia India
Dr Sanjay Bhargava
Assoc Professor Department of Computer Science Banasthali University Jaipur India
Dr Sanjoy Deb
Assoc Professor Department of ECE BIT Sathy Sathyamangalam Tamilnadu India
Dr Papita Das (Saha)
Assoc Professor Department of Biotechnology National Institute of Technology Duragpur India
Dr Waail Mahmod Lafta Al-waely
Assoc Professor Department of Mechatronics Engineering Al-Mustafa University College ndash Plastain Street near AL-SAAKKRA
square- Baghdad - Iraq
Dr P P Satya Paul Kumar
Assoc Professor Department of Physical Education amp Sports Sciences University College of Physical Education amp Sports Sciences
Guntur
Dr Sohrab Mirsaeidi
Associate Professor Department of Electrical Engineering Universiti Teknologi Malaysia (UTM) Skudai Johor Malaysia
Dr Ehsan Noroozinejad Farsangi
Associate Professor Department of Civil Engineering International Institute of Earthquake Engineering and Seismology (IIEES)
Farmanieh Tehran - Iran
Dr Omed Ghareb Abdullah
Associate Professor Department of Physics School of Science University of Sulaimani Iraq
Dr Khaled Eskaf
Associate Professor Department of Computer Engineering College of Computing and Information Technology Alexandria Egypt
Dr Nitin W Ingole
Associate Professor amp Head Department of Civil Engineering Prof Ram Meghe Institute of Technology and Research Badnera
Amravati
Dr P K Gupta
Associate Professor Department of Computer Science and Engineering Jaypee University of Information Technology PO Dumehar
Bani Solan India
Dr PGanesh Kumar
Associate Professor Department of Electronics amp Communication Sri Krishna College of Engineering and Technology Linyi Top
Network Co Ltd Linyi Shandong Provience China
Dr Santhosh K V
Associate Professor Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Karnataka
India
Dr Subhendu Kumar Pani
Assoc Professor Department of Computer Science and Engineering Orissa Engineering College India
Dr Syed Asif Ali
Professor Chairman Department of Computer Science SMI University Karachi Pakistan
Dr Vilas Warudkar
Assoc Professor Department of Mechanical Engineering Maulana Azad National Institute of Technology Bhopal India
Dr S Chandra Mohan Reddy
Associate Professor amp Head Department of Electronics amp Communication Engineering JNTUA College of Engineering
(Autonomous) Cuddapah Andhra Pradesh India
Dr V Chittaranjan Das
Associate Professor Department of Mechanical Engineering RVR amp JC College of Engineering Guntur Andhra Pradesh India
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr Hossein Rajabalipour Cheshmejgaz
Industrial Modeling and Computing Department Faculty of Computer Science and Information Systems Universiti Teknologi Skudai
Malaysia
Dr Veronica McGowan
Associate Professor Department of Computer and Business Information Systems Delaware Valley College Doylestown PA Allman
China
Dr Sanjay Sharma
Associate Professor Department of Mathematics Bhilai Institute of Technology Durg Chhattisgarh India
Dr Taghreed Hashim Al-Noor
Professor Department of Chemistry Ibn-Al-Haitham Education for pure Science College University of Baghdad Iraq
Dr Madhumita Dash
Professor Department of Electronics amp Telecommunication Orissa Engineering College BhubaneswarOdisha India
Dr Anita Sagadevan Ethiraj
Associate Professor Department of Centre for Nanotechnology Research (CNR) School of Electronics Engineering (Sense) Vellore
Institute of Technology (VIT) University Tamilnadu India
Dr Sibasis Acharya
Project Consultant Department of Metallurgy amp Mineral Processing Midas Tech International 30 Mukin Street Jindalee-4074
Queensland Australia
Dr Neelam Ruhil
Professor Department of Electronics amp Computer Engineering Dronacharya College of Engineering Gurgaon Haryana India
Dr Faizullah Mahar
Professor Department of Electrical Engineering Balochistan University of Engineering and Technology Pakistan
Dr K Selvaraju
Head PG amp Research Department of Physics Kandaswami Kandars College (Govt Aided) Velur (PO) Namakkal DT Tamil Nadu
India
Dr M K Bhanarkar
Associate Professor Department of Electronics Shivaji University Kolhapur Maharashtra India
Dr Sanjay Hari Sawant
Professor Department of Mechanical Engineering Dr J J Magdum College of Engineering Jaysingpur India
Dr Arindam Ghosal
Professor Department of Mechanical Engineering Dronacharya Group of Institutions B-27 Part-III Knowledge ParkGreater Noida
India
Dr M Chithirai Pon Selvan
Associate Professor Department of Mechanical Engineering School of Engineering amp Information Technology Amity University
Dubai UAE
Dr S Sambhu Prasad
Professor amp Principal Department of Mechanical Engineering Pragati College of Engineering Andhra Pradesh India
Dr Muhammad Attique Khan Shahid
Professor of Physics amp Chairman Department of Physics Advisor (SAAP) at Government Post Graduate College of Science
Faisalabad
Dr Kuldeep Pareta
Professor amp Head Department of Remote SensingGIS amp NRM B-30 Kailash Colony New Delhi 110 048 India
Dr Th Kiranbala Devi
Associate Professor Department of Civil Engineering Manipur Institute of Technology Takyelpat Imphal Manipur India
Dr Nirmala Mungamuru
Associate Professor Department of Computing School of Engineering Adama Science and Technology University Ethiopia
Dr Srilalitha Girija Kumari Sagi
Associate Professor Department of Management Gandhi Institute of Technology and Management India
Dr Vishnu Narayan Mishra
Associate Professor Department of Mathematics Sardar Vallabhbhai National Institute of Technology Ichchhanath Mahadev Dumas
Road Surat (Gujarat) India
Dr Yash Pal Singh
DirectorPrincipal Somany (PG) Institute of Technology amp Management Garhi Bolni Road Rewari Haryana India
Dr Sripada Rama Sree
Vice Principal Associate Professor Department of Computer Science and Engineering Aditya Engineering College Surampalem
Andhra Pradesh India
Dr Rustom Mamlook
Associate Professor Department of Electrical and Computer Engineering Dhofar University Salalah Oman Middle East
Dr Ramzi Raphael Ibraheem Al Barwari
Assistant Professor Department of Mechanical Engineering College of Engineering Salahaddin University ndash Hawler (SUH) Erbil ndash
Kurdistan Erbil Iraq
Dr Kapil Chandra Agarwal
HOD amp Professor Department of Applied Sciences amp Humanities Radha Govind Engineering College U P Technical University
Jai Bheem Nagar Meerut (UP) India
Dr Anil Kumar Tripathy
Associate Professor Department of Environmental Science amp Engineering Ghanashyama Hemalata Institute of Technology and
Management Puri Odisha India
Managing Editor
Mr Jitendra Kumar Sen
International Journal of Recent Technology and Engineering (IJRTE)
Editorial Board
Dr Soni Changlani
Professor Department of Electronics amp Communication Lakshmi Narain College of Technology amp Science Bhopal (MP) India
Dr M M Manyuchi
Professor Department Chemical and Process Systems Engineering Lecturer-Harare Institute of Technology Zimbabwe
Dr John Kaiser S Calautit
Professor Department Civil Engineering School of Civil Engineering University of Leeds LS2 9JT Leeds United Kingdom
Dr Audai Hussein Al-Abbas
Deputy Head Department AL-Musaib Technical College Foundation of Technical EducationBabylon Iraq
Dr Şeref Doğuşcan Akbaş
Professor Department Civil Engineering Şehit Muhtar Mah Oumlğuumlt Sok No237 Beyoğlu Istanbul Turkey
Dr H S Behera
Associate Professor Department Computer Science amp Engineering Veer Surendra Sai University of Technology (VSSUT) A Unitary
Technical University Established by the Government of Odisha India
Dr Rajeev Tiwari
Associate Professor Department Computer Science amp Engineering University of Petroleum amp Energy Studies (UPES) Bidholi
Uttrakhand India
Dr Piyush Kumar Shukla
Assoc Professor Department of Computer Science and Engineering University Institute of Technology RGPV Bhopal (MP) India
Dr Piyush Lotia
AssocProfessor Department of Electronics and Instrumentation Shankaracharya College of Engineering and Technology Bhilai
(CG) India
Dr Asha Rai
Assoc Professor Department of Communication Skils Technocrat Institute of Technology Bhopal (MP) India
Dr Vahid Nourani
Assoc Professor Department of Civil Engineering University of Minnesota USA
Dr Hung-Wei Wu
Assoc Professor Department of Computer and Communication Kun Shan University Taiwan
Dr Vuda Sreenivasarao
Associate Professor Department of Computr And Information Technology Defence University College Debrezeit Ethiopia India
Dr Sanjay Bhargava
Assoc Professor Department of Computer Science Banasthali University Jaipur India
Dr Sanjoy Deb
Assoc Professor Department of ECE BIT Sathy Sathyamangalam Tamilnadu India
Dr Papita Das (Saha)
Assoc Professor Department of Biotechnology National Institute of Technology Duragpur India
Dr Waail Mahmod Lafta Al-waely
Assoc Professor Department of Mechatronics Engineering Al-Mustafa University College ndash Plastain Street near AL-SAAKKRA
square- Baghdad - Iraq
Dr P P Satya Paul Kumar
Assoc Professor Department of Physical Education amp Sports Sciences University College of Physical Education amp Sports Sciences
Guntur
Dr Sohrab Mirsaeidi
Associate Professor Department of Electrical Engineering Universiti Teknologi Malaysia (UTM) Skudai Johor Malaysia
Dr Ehsan Noroozinejad Farsangi
Associate Professor Department of Civil Engineering International Institute of Earthquake Engineering and Seismology (IIEES)
Farmanieh Tehran - Iran
Dr Omed Ghareb Abdullah
Associate Professor Department of Physics School of Science University of Sulaimani Iraq
Dr Khaled Eskaf
Associate Professor Department of Computer Engineering College of Computing and Information Technology Alexandria Egypt
Dr Nitin W Ingole
Associate Professor amp Head Department of Civil Engineering Prof Ram Meghe Institute of Technology and Research Badnera
Amravati
Dr P K Gupta
Associate Professor Department of Computer Science and Engineering Jaypee University of Information Technology PO Dumehar
Bani Solan India
Dr PGanesh Kumar
Associate Professor Department of Electronics amp Communication Sri Krishna College of Engineering and Technology Linyi Top
Network Co Ltd Linyi Shandong Provience China
Dr Santhosh K V
Associate Professor Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Karnataka
India
Dr Subhendu Kumar Pani
Assoc Professor Department of Computer Science and Engineering Orissa Engineering College India
Dr Syed Asif Ali
Professor Chairman Department of Computer Science SMI University Karachi Pakistan
Dr Vilas Warudkar
Assoc Professor Department of Mechanical Engineering Maulana Azad National Institute of Technology Bhopal India
Dr S Chandra Mohan Reddy
Associate Professor amp Head Department of Electronics amp Communication Engineering JNTUA College of Engineering
(Autonomous) Cuddapah Andhra Pradesh India
Dr V Chittaranjan Das
Associate Professor Department of Mechanical Engineering RVR amp JC College of Engineering Guntur Andhra Pradesh India
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr Vishnu Narayan Mishra
Associate Professor Department of Mathematics Sardar Vallabhbhai National Institute of Technology Ichchhanath Mahadev Dumas
Road Surat (Gujarat) India
Dr Yash Pal Singh
DirectorPrincipal Somany (PG) Institute of Technology amp Management Garhi Bolni Road Rewari Haryana India
Dr Sripada Rama Sree
Vice Principal Associate Professor Department of Computer Science and Engineering Aditya Engineering College Surampalem
Andhra Pradesh India
Dr Rustom Mamlook
Associate Professor Department of Electrical and Computer Engineering Dhofar University Salalah Oman Middle East
Dr Ramzi Raphael Ibraheem Al Barwari
Assistant Professor Department of Mechanical Engineering College of Engineering Salahaddin University ndash Hawler (SUH) Erbil ndash
Kurdistan Erbil Iraq
Dr Kapil Chandra Agarwal
HOD amp Professor Department of Applied Sciences amp Humanities Radha Govind Engineering College U P Technical University
Jai Bheem Nagar Meerut (UP) India
Dr Anil Kumar Tripathy
Associate Professor Department of Environmental Science amp Engineering Ghanashyama Hemalata Institute of Technology and
Management Puri Odisha India
Managing Editor
Mr Jitendra Kumar Sen
International Journal of Recent Technology and Engineering (IJRTE)
Editorial Board
Dr Soni Changlani
Professor Department of Electronics amp Communication Lakshmi Narain College of Technology amp Science Bhopal (MP) India
Dr M M Manyuchi
Professor Department Chemical and Process Systems Engineering Lecturer-Harare Institute of Technology Zimbabwe
Dr John Kaiser S Calautit
Professor Department Civil Engineering School of Civil Engineering University of Leeds LS2 9JT Leeds United Kingdom
Dr Audai Hussein Al-Abbas
Deputy Head Department AL-Musaib Technical College Foundation of Technical EducationBabylon Iraq
Dr Şeref Doğuşcan Akbaş
Professor Department Civil Engineering Şehit Muhtar Mah Oumlğuumlt Sok No237 Beyoğlu Istanbul Turkey
Dr H S Behera
Associate Professor Department Computer Science amp Engineering Veer Surendra Sai University of Technology (VSSUT) A Unitary
Technical University Established by the Government of Odisha India
Dr Rajeev Tiwari
Associate Professor Department Computer Science amp Engineering University of Petroleum amp Energy Studies (UPES) Bidholi
Uttrakhand India
Dr Piyush Kumar Shukla
Assoc Professor Department of Computer Science and Engineering University Institute of Technology RGPV Bhopal (MP) India
Dr Piyush Lotia
AssocProfessor Department of Electronics and Instrumentation Shankaracharya College of Engineering and Technology Bhilai
(CG) India
Dr Asha Rai
Assoc Professor Department of Communication Skils Technocrat Institute of Technology Bhopal (MP) India
Dr Vahid Nourani
Assoc Professor Department of Civil Engineering University of Minnesota USA
Dr Hung-Wei Wu
Assoc Professor Department of Computer and Communication Kun Shan University Taiwan
Dr Vuda Sreenivasarao
Associate Professor Department of Computr And Information Technology Defence University College Debrezeit Ethiopia India
Dr Sanjay Bhargava
Assoc Professor Department of Computer Science Banasthali University Jaipur India
Dr Sanjoy Deb
Assoc Professor Department of ECE BIT Sathy Sathyamangalam Tamilnadu India
Dr Papita Das (Saha)
Assoc Professor Department of Biotechnology National Institute of Technology Duragpur India
Dr Waail Mahmod Lafta Al-waely
Assoc Professor Department of Mechatronics Engineering Al-Mustafa University College ndash Plastain Street near AL-SAAKKRA
square- Baghdad - Iraq
Dr P P Satya Paul Kumar
Assoc Professor Department of Physical Education amp Sports Sciences University College of Physical Education amp Sports Sciences
Guntur
Dr Sohrab Mirsaeidi
Associate Professor Department of Electrical Engineering Universiti Teknologi Malaysia (UTM) Skudai Johor Malaysia
Dr Ehsan Noroozinejad Farsangi
Associate Professor Department of Civil Engineering International Institute of Earthquake Engineering and Seismology (IIEES)
Farmanieh Tehran - Iran
Dr Omed Ghareb Abdullah
Associate Professor Department of Physics School of Science University of Sulaimani Iraq
Dr Khaled Eskaf
Associate Professor Department of Computer Engineering College of Computing and Information Technology Alexandria Egypt
Dr Nitin W Ingole
Associate Professor amp Head Department of Civil Engineering Prof Ram Meghe Institute of Technology and Research Badnera
Amravati
Dr P K Gupta
Associate Professor Department of Computer Science and Engineering Jaypee University of Information Technology PO Dumehar
Bani Solan India
Dr PGanesh Kumar
Associate Professor Department of Electronics amp Communication Sri Krishna College of Engineering and Technology Linyi Top
Network Co Ltd Linyi Shandong Provience China
Dr Santhosh K V
Associate Professor Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Karnataka
India
Dr Subhendu Kumar Pani
Assoc Professor Department of Computer Science and Engineering Orissa Engineering College India
Dr Syed Asif Ali
Professor Chairman Department of Computer Science SMI University Karachi Pakistan
Dr Vilas Warudkar
Assoc Professor Department of Mechanical Engineering Maulana Azad National Institute of Technology Bhopal India
Dr S Chandra Mohan Reddy
Associate Professor amp Head Department of Electronics amp Communication Engineering JNTUA College of Engineering
(Autonomous) Cuddapah Andhra Pradesh India
Dr V Chittaranjan Das
Associate Professor Department of Mechanical Engineering RVR amp JC College of Engineering Guntur Andhra Pradesh India
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr Hung-Wei Wu
Assoc Professor Department of Computer and Communication Kun Shan University Taiwan
Dr Vuda Sreenivasarao
Associate Professor Department of Computr And Information Technology Defence University College Debrezeit Ethiopia India
Dr Sanjay Bhargava
Assoc Professor Department of Computer Science Banasthali University Jaipur India
Dr Sanjoy Deb
Assoc Professor Department of ECE BIT Sathy Sathyamangalam Tamilnadu India
Dr Papita Das (Saha)
Assoc Professor Department of Biotechnology National Institute of Technology Duragpur India
Dr Waail Mahmod Lafta Al-waely
Assoc Professor Department of Mechatronics Engineering Al-Mustafa University College ndash Plastain Street near AL-SAAKKRA
square- Baghdad - Iraq
Dr P P Satya Paul Kumar
Assoc Professor Department of Physical Education amp Sports Sciences University College of Physical Education amp Sports Sciences
Guntur
Dr Sohrab Mirsaeidi
Associate Professor Department of Electrical Engineering Universiti Teknologi Malaysia (UTM) Skudai Johor Malaysia
Dr Ehsan Noroozinejad Farsangi
Associate Professor Department of Civil Engineering International Institute of Earthquake Engineering and Seismology (IIEES)
Farmanieh Tehran - Iran
Dr Omed Ghareb Abdullah
Associate Professor Department of Physics School of Science University of Sulaimani Iraq
Dr Khaled Eskaf
Associate Professor Department of Computer Engineering College of Computing and Information Technology Alexandria Egypt
Dr Nitin W Ingole
Associate Professor amp Head Department of Civil Engineering Prof Ram Meghe Institute of Technology and Research Badnera
Amravati
Dr P K Gupta
Associate Professor Department of Computer Science and Engineering Jaypee University of Information Technology PO Dumehar
Bani Solan India
Dr PGanesh Kumar
Associate Professor Department of Electronics amp Communication Sri Krishna College of Engineering and Technology Linyi Top
Network Co Ltd Linyi Shandong Provience China
Dr Santhosh K V
Associate Professor Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Karnataka
India
Dr Subhendu Kumar Pani
Assoc Professor Department of Computer Science and Engineering Orissa Engineering College India
Dr Syed Asif Ali
Professor Chairman Department of Computer Science SMI University Karachi Pakistan
Dr Vilas Warudkar
Assoc Professor Department of Mechanical Engineering Maulana Azad National Institute of Technology Bhopal India
Dr S Chandra Mohan Reddy
Associate Professor amp Head Department of Electronics amp Communication Engineering JNTUA College of Engineering
(Autonomous) Cuddapah Andhra Pradesh India
Dr V Chittaranjan Das
Associate Professor Department of Mechanical Engineering RVR amp JC College of Engineering Guntur Andhra Pradesh India
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr Jamal Fathi Abu Hasna
Associate Professor Department of Electrical amp Electronics and Computer Engineering Near East University TRNC Turkey
Dr S Deivanayaki
Associate Professor Department of Physics Sri Ramakrishna Engineering College Tamil Nadu India
Dr Nirvesh S Mehta
Professor Department of Mechanical Engineering Sardar Vallabhbhai National Institute of Technology Surat South Gujarat India
Dr AVijaya Bhasakar Reddy
Associate Professor Research Scientist Department of Chemistry Sri Venkateswara University Andhra Pradesh India
Dr C Jaya Subba Reddy
Associate Professor Department of Mathematics Sri Venkateswara University Tirupathi Andhra Pradesh India
Dr TOFAN Cezarina Adina
Associate Professor Department of Sciences Engineering Spiru Haret University Arges Romania
Dr Balbir Singh
Associate Professor Department of Health Studies Human Development Area Administrative Staff College of India Bella Vista
Andhra Pradesh India
Dr D RAJU
Associate Professor Department of Mathematics Vidya Jyothi Institute of Technology (VJIT) Aziz Nagar Gate Hyderabad India
Dr Salim Y Amdani
Associate Professor amp Head Department of Computer Science Engineering B N College of Engineering PUSAD (MS) India
Dr K Kiran Kumar
Associate Professor Department of Information Technology Bapatla Engineering College Andhra Pradesh India
Dr Md Abdullah Al Humayun
Associate Professor Department of Electrical Systems Engineering University Malaysia Perlis Malaysia
Dr Vellore Vasu
Teaching Assistant Department of Mathematics SVUniversity Tirupati Andhra Pradesh India
Dr Naveen K Mehta
Associate Professor amp Head Department of Communication Skills Mahakal Institute of Technology Ujjain India
Dr Gujar Anant kumar Jotiram
Associate Professor Department of Mechanical Engineering Ashokrao Mane Group of Institutions Vathar Maharashtra India
Dr Pratibhamoy Das
Scientist Department of Mathematics IMU Berlin Einstein Foundation Fellow Technical University of Berlin Germany
Dr Messaouda AZZOUZI
Associate Professor Department of Sciences amp Technology University of Djelfa Algeria
Dr Vandana Swarnkar
Associate Professor Department of Chemistry Jiwaji University Gwalior India
Dr Arvind K Sharma
Associate Professor Department of Computer Science Engineering University of Kota Kabir Circle Rajasthan India
Dr R Balu
Associate Professor Department of Computr Applications Bharathiar University Tamilnadu India
Dr S Suriyanarayanan
Associate Professor Department of Water and Health Jagadguru Sri Shivarathreeswara University Karnataka India
Dr Dinesh Kumar
Associate Professor Department of Mathematics Pratap University Jaipur Rajasthan India
Dr Sandeep N
Associate Professor Department of Mathematics Vellore Institute of Technology Tamil Nadu India
Dr Dharmpal Singh
Associate Professor Department of Computer Science Engineering JIS College of Engineering West Bengal India
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr Farshad Zahedi
Associate Professor Department of Mechanical Engineering University of Texas at Arlington Tehran Iran
Dr Atishey Mittal
Associate Professor Department of Mechanical Engineering SRM University NCR Campus Meerut Delhi Road Modinagar Aligarh
India
Dr Hussein Togun
Associate Professor Department of Mechanical Engineering University of Thiqar Iraq
Dr Shrikaant Kulkarni
Associate Professor Department of Senior faculty VIT Pune (MS) India
Dr Mukesh Negi
Project Manager Department of Computer Science amp IT Mukesh Negi Project Manager Noida India
Dr Sachin Madhavrao Kanawade
Associate Professor Department Chemical Engineering Pravara Rural Education SocietyrsquosSir Visvesvaraya Institute of Technology
Nashik India
Dr Ganesh S Sable
Professor Department of Electronics and Telecommunication Maharashtra Institute of Technology Satara Parisar Aurangabad
Maharashtra India
Dr TV Rajini Kanth
Professor Department of Computer Science Engineering Sreenidhi Institute of Science and Technology Hyderabad India
Dr Anuj Kumar Gupta
Associate Professor Department of Computer Science amp Engineering RIMT Institute of Engineering amp Technology NH-1 Mandi
Godindgarh Punjab India
Dr Hasan Ashrafi- Rizi
Associate Professor Medical Library and Information Science Department of Health Information Technology Research Center
Isfahan University of Medical Sciences Isfahan Iran
Dr Golam Kibria
Associate Professor Department of Mechanical Engineering Aliah University Kolkata India
Dr Mohammad Jannati
Professor Department of Energy Conversion UTM-PROTON Future Drive Laboratory Faculty of Electrical Enginering Universit
Teknologi Malaysia
Dr Mohammed Saber Mohammed Gad
Professor Department of Mechanical Engineering National Research Centre- El Behoos Street El Dokki Giza Cairo Egypt
Dr V Balaji
Professor Department of EEE Sapthagiri College of Engineering Periyanahalli(PO) Palacode (Taluk) Dharmapuri
Dr Naveen Beri
Associate Professor Department of Mechanical Engineering Beant College of Engg amp Tech Gurdaspur - 143 521 Punjab India
Dr Abdel-Baset H Mekky
Associate Professor Department of Physics Buraydah Colleges Al Qassim Saudi Arabia
Dr T Abdul Razak
Associate Professor Department of Computer Science Jamal Mohamed College (Autonomous) Tiruchirappalli ndash 620 020 India
Dr Preeti Singh Bahadur
Associate Professor Department of Applied Physics Amity University Greater Noida (UP) India
Dr Ramadan Elaiess
Associate Professor Department of Information Studies Faculty of Arts University of Benghazi Libya
Dr R Emmaniel
Professor amp Head Department of Business Administration ST ANN College of Engineering amp Technology Vetapaliem Po Chirala
Prakasam DT AP India
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr C Phani Ramesh
Director cum Associate Professor Department of Computer Science Engineering PRIST University Manamai Chennai Campus
India
Dr Rachna Goswami
Associate Professor Department of Faculty in Bio-Science Rajiv Gandhi University of Knowledge Technologies (RGUKT) District-
Krishna Andhra Pradesh India
Dr Sudhakar Singh
Assoc Prof amp Head Department of Physics and Computer Science Sardar Patel College of Technology Balaghat (MP) India
Dr Xiaolin Qin
Associate Professor amp Assistant Director of Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer
Applications Chinese Academy of Sciences China
Dr Maddila Lakshmi Chaitanya
Assoc Prof Department of Mechanical Pragati Engineering College 1-378 ADB Road Surampalem Near Peddapuram East
Godavari District AP India
Dr Jyoti Anand
Assistant Professor Department of Mathematics Dronacharya College of Engineering Gurgaon Haryana India
Dr Nasser Fegh-hi Farahmand
Assoc Professor Department of Industrial Management College of Management Economy and Accounting Tabriz Branch Islamic
Azad University Tabriz Iran
Dr Ravindra Jilte
Assist Prof amp Head Department of Mechanical Engineering VCET Vasai University of Mumbai Thane Maharshtra 401202 India
Dr Sarita Gajbhiye Meshram
Research Scholar Department of Water Resources Development amp Management Indian Institute of Technology Roorkee India
Dr G Komarasamy
Associate Professor Senior Grade Department of Computer Science amp Engineering Bannari Amman Institute of Technology
SathyamangalamTamil Nadu India
Dr P Raman
Professor Department of Management Studies Panimalar Engineering College Chennai India
Dr M Anto Bennet
Professor Department of Electronics amp Communication Engineering Veltech Engineering College Chennai India
Dr P Keerthika
Associate Professor Department of Computer Science amp Engineering Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Kumar Behera
Associate Professor Department of Education Sidho-Kanho-Birsha University Ranchi Road PO Sainik School Dist-Purulia West
Bengal India
Dr P Suresh
Associate Professor Department of Information Technology Kongu Engineering College Perundurai Tamilnadu India
Dr Santosh Shivajirao Lomte
Associate Professor Department of Computer Science and Information Technology Radhai Mahavidyalaya N-2 J sector opp
Aurangabad Gymkhana Jalna Road Aurangabad India
Dr Altaf Ali Siyal
Professor Department of Land and Water Management Sindh Agriculture University Tandojam Pakistan
Dr Mohammad Valipour
Associate Professor Sari Agricultural Sciences and Natural Resources University Sari Iran
Dr Prakash H Patil
Professor and Head Department of Electronics and Tele Communication Indira College of Engineering and Management Pune India
Dr Smolarek Małgorzata
Associate Professor Department of Institute of Management and Economics High School of Humanitas in Sosnowiec Wyższa
Szkoła Humanitas Instytut Zarządzania i Ekonomii ul Kilińskiego Sosnowiec Poland India
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Dr Umakant Vyankatesh Kongre
Associate Professor Department of Mechanical Engineering Jawaharlal Darda Institute of Engineering and Technology Yavatmal
Maharashtra India
Dr Niranjana S
Associate Professor Department of Biomedical Engineering Manipal Institute of Technology (MIT) Manipal University Manipal
Karnataka India
Dr Naseema Khatoon
Associate Professor Department of Chemistry Integral University Lucknow (UP) India
Dr P Samuel
Associate Professor Department of English KSR College of Engineering Tiruchengode ndash 637 215 Namakkal Dt Tamilnadu India
Dr Mohammad Sajid
Associate Professor Department of Mathematics College of Engineering Qassim University Buraidah 51452 Al-Qassim Saudi
Arabia
Dr Sanjay Pachauri
Associate Professor Department of Computer Science amp Engineering IMS Unison University Makkawala Greens Dehradun-248009
(UK)
Dr S Kishore Reddy
Professor Department of School of Electrical amp Computer Engineering Adama Science amp Technology University Adama
Dr Muthukumar Subramanyam
Professor Department of Computer Science amp Engineering National Institute of Technology Puducherry India
Dr Latika Kharb
Associate Professor Faculty of Information Technology Jagan Institute of Management Studies (JIMS) Rohini Delhi India
Dr Kusum Yadav
Associate Professor Department of Information Systems College of Computer Engineering amp Science Salman bin Abdulaziz
University Saudi Arabia
Dr Preeti Gera
Assoc Professor Department of Computer Science amp Engineering Savera Group of Institutions Farrukh Nagar Gurgaon India
Dr Ajeet Kumar
Associate Professor Department of Chemistry and Biomolecular Science Clarkson University 8 Clarkson Avenue New York
Dr M Jinnah S Mohamed
Associate Professor Department of Mechanical Engineering National College of Engineering MaruthakulamTirunelveli Tamil
Nadu India
Dr Mostafa Eslami
Assistant Professor Department of Mathematics University of Mazandaran Babolsar Iran
Dr Akram Mohammad Hassan Elentably
Professor Department of Economics of Maritime Transport Faculty of Maritime Studies Ports amp Maritime Transport King Abdul-
Aziz University
Dr Ebrahim Nohani
Associate Professor Department of Hydraulic Structures Dezful Branch Islamic Azad University Dezful Iran
Dr Aarti Tolia
Faculty Prahaldbhai Dalmia Lions College of Commerce amp Economics Mumbai India
Dr Ramachandra C G
Professoramp Head Department of Marine Engineering Srinivas Institute of Technology Valachil Mangalore-574143 India
Dr G Anandharaj
Associate Professor Department of MCA Ganadipathy Tulsis Jain Engineering College Chittoor- Cuddalore Road Kaniyambadi
Vellore Tamil Nadu India
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
S
No
Volume-3 Issue-2 May 2014 ISSN 2277-3878 (Online)
Published By Blue Eyes Intelligence Engineering amp Sciences Publication Pvt Ltd
Page
No
1
Authors Mohammed Hussein Baqir
Paper Title System Efficiency Using PWM Switching Strategies
Abstract Pulse Width Modulation (PWM) is the technique of using switching devices to produce the effect of a
continuously varying analogue signal this PWM conversion generally has very high electrical efficiency In
controlling either a three-phase synchronous motor or a three-phase induction motor it is desirable to create three
perfectly sinusoidal current waveforms in the motor windings with relative phase displacements of 120deg
The production of sinewave power via a linear amplifier system would have low efficiency at best 64 If instead of
the linear circuitry fast electronic switching devices are used and then the efficiency can be greater than 95
depending on the characteristics of the semiconductor power switching
Keywords fast electronic switching devices are used and then the efficiency can be greater than 95
References 1 SR and Midoun A Generalized Techniques of Harmonic Elimination and Voltage Control in Thyristor Inverters part II- voltage
Control Technique IEEE Trans 1974 Vpl 1A-10 PP 666-673 2 N Mohan T- Underland W Robbins Power electronics Converters Application and Design Jone Wiley and Sons 2008
3 S Yeralan Programming and Interfacing the 8051 Microcontroller rigel corporation 2009
4 K E Addoweesh and W Shepherd Induction Motor Speed Control Using a Microprocessor Based PWM Inverter IEEE Trans Ind Electron Vol 36 No 4 Nov1989
5 P V Enjeti P D Ziogas and J F Lindsay Programmed PWM Techniques To Eliminate Harmonics A Critical Evaluation IEEE Trans
Ind Appl Vol 26 No 2 MARAPR 1990 6 Richard A Pear man Power Electronic Solid State Motor Control Print in 2003
7 B Szabados and P Lindon Pulse Width Modulation Inverter Drive Wth Fast Response to Frequency and Amplitude Controls IEEE
Trans Ind Electron Vol IECI-28 No 4 NOV 1981 8 J You Lee and Y Yih Sun Adaptive Harmonic Control in PWM Inverter With Fluctuating Input Voltage IEEE Trans Ind Electron
Vol IE-33 No 1 FEB 1986
1-6
2
Authors Junaid Maste P J Salunke N G Gore
Paper Title Dynamic Analysis of Laterally Loaded Piles (Effect of Spacing amp Diameters
Abstract In this study the finite element model (FEM) analysis of group of piles in cohesionless soil with the
diameter from 05m to 2m and spacing between the piles varied from 2D to 3D by means of the FB-multipier
software Hence by developing a finite element model soil structure interaction study is carried out considering
nonlinear soil behavior in time domain analysis with the help of Newmarkrsquos beta method
Keywords Laterally loaded piles Dynamic analysis p-y curves Newmarkrsquos beta method FB-multipier
References 1 Milos Novak ldquoDynamic stiffness and damping of pilesrdquo Canadian geotechnical journal June (1974) pp575-598 2 Georgiadis M Anagnostopoulos C and Saflekou S (1992) ldquoCyclic lateral loading of piles in soft clayrdquo Geotech Eng 23(1) 47-60
3 Ashish Mehta et al ldquoBehavior of laterally loaded Pilerdquo International Journal of Engineering Science and Technology(2010)pp7252-7254 4 Sri Dewi et al ldquoAnalysis on laterally loaded group piles by PLAXIS 3D foundationrdquo Journal of Engineering March(2011)pp1-5
5 K Rajagopal et al ldquoInfluence of combined vertical and lateral loading on the lateral response of pilesrdquo International Association for
Computer Methods and Advances in Geomechanics October(2008)pp3272-3282 6 Zamri H Chik et al ldquoLateral behavior of single pile in cohesionless soil subjected to both vertical and horizontal loadsrdquo European Journal
of Scientific Research(2009)pp 194-205
7 K B Ladhane and V A Sawant ldquoDynamic analysis of pile group with 3-piles in series arrangementrdquo Indian Geotechnical Conference December(2011)pp955-958
8 Christina J et al ldquoDynamic experiments and analyses of a pile group supported structurerdquo Journal of Geotechnical and Geo-environmental
Engineering July(2001)pp585-596 9 Mohamad Ahangar et al ldquoDynamic nonlinear behavior of fixed offshore jacket pilesrdquo International Journal of Civil and Structural
Engineering September(2011)pp260-269
10 Kiran B Ladhane and V A Sawant ldquo Dynamic response of 2 piles in series and parallel arrangementrdquo Engineering Journal July (2012)pp1-10
11 Mohammad M Ahmadi et al ldquoDynamic analysis of piles in sand based on soil-pile-interactionrdquo World Conference on Earthquake
Engineering October(2008)pp1-8 12 Vishwas A Sawant et al ldquoFinite element analysis for laterally loaded piles in sloping groundrdquo Coupled Systems Mechanics (2012)
pp59-78
13 Murugan M et al ldquoBehavior of laterally loaded piles in cohesionless soilsrdquo International Journal of Earth Sciences and Engineering October (2011) pp104-106
14 PK Basudhar et al ldquoFlexural analysis of laterally loaded piles using cpt and pmt results a comparative study(2009)pp718-722
7-9
3
Authors V D Shinde Anand S Shivade
Paper Title Parametric Optimization of Surface Roughness in Wire Electric Discharge Machining (WEDM) using
Taguchi Method
Abstract Wire electrical discharge machining (WEDM) is widely used in machining of conductive materials when
precision is of primary significance Wire-cut electric discharge machining of AISI D3 tool steel has been considered
in the present work Experimentation has been completed by using Taguchirsquos L9orthogonal array with different
levels of input parameters Optimal combination of parameters was obtained by this technique The Taguchi
technique was used for design of experiment so that with minimum number of experiments the complete problem
can be solved as compared to full factorial design Experimental results make obvious that the machining model is
proper and the Taguchirsquos method satisfies the practical requirements The results obtained are analyzed for the
10-15
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
selection of an optimal combination of WEDM parameters for proper machining of AISI D3 tool steel to achieve
better surface finish Different analysis was made on the data obtained from the experiments
Keywords ANOVA D3 tool steel Design of experiments Surface roughness Taguchi method Wire electrical
discharge machining (WEDM)
References 1 S Kalpakjian and S Schmid ldquoManufacturing process for engineering materialsrdquo Pearson education South Asia 2009 2 Lee SH Li XP (2001) ldquoStudy of the effect of machining parameters on the machining characteristics in electrical discharge machining of
tungsten carbiderdquo Journal of Material Processing Technolology 115 344-358
3 Nihat Tosun (2003) ldquoThe effect of the cutting parameters on performance of WEDMrdquo KSME international journal 17(6)816- 824 4 Chiang KT Chang FP (2006) ldquoOptimization of the WEDM process of particle-reinforced material with multiple performance
characteristics using grey relational analysisrdquo Journal of Materials Processing Technology 180 96-101 5 Kanlaya siria K Boonmung S (2007) ldquoEffects of wire-EDM machining variables on surface roughness of newly developed DC 53 die
steel design of experiments and regression modelrdquo Journal of Materials Processing Technology 459-464
6 U Esme A Sagbas and F Kahraman (2009) ldquoPrediction of surface roughness in wire electrical discharge machining using design of experiments and neural networksrdquo Iranian journal of science amp technology transaction b engineering 33 231-240
7 Muthu Kumar V Suresh Babu A Venkatasamy R and Raajenthiren M (2010)ldquoOptimization of the WEDM Parameters on Machining
Incoloy800 Super alloy with Multiple Quality Characteristicsrdquo International Journal of Engineering Science and Technology2(6) 1538-1547
8 Vamsi Krishna Pasam (2010) ldquoOptimizing Surface Finish in WEDM Using the Taguchi Parameter Design Methodrdquo J of the Braz Soc of
Mech Sci amp Eng 32(2) 107-113 9 Pujari Srinivasa Rao Koona Ramji and Beela Satyanarayana (2011) ldquoEffect of WEDM conditions on surface roughness a parametric
optimization using Taguchi methodrdquo International journal of advanced engineering sciences and technologies 6(1) 41-48
10 Anish Kumar Vinod Kumar and Jatinder Kumar (2012)ldquoPrediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodologyrdquo International Journal of Engineering and Technology2(4)708-719
11 Atul Kumar and DrDKSingh (2012) ldquoStrategic optimization and investigation effect of process parameters on performance of wire electric
discharge machine (WEDM)rdquo International journal of engineering science and technology 4(06) 2766-2772 12 Dharmender Rajeev Kumar and Anmol Bhatia (2012) ldquoInvestigation of the effect of Process Parameters on Surface Roughness in Wire
Electric Discharge Machining of En31 Tool Steelrdquo Proceedings of the National Conference on Trends and Advances in Mechanical
Engineering YMCA University of Science amp Technology Faridabad Haryana417-423 13 G Rajyalakshmi and PVenkata Ramaiah (2012) ldquoA parametric optimization using Taguchi method effect of WEDM parameters on surface
roughness machining on Inconel 825rdquo Elixir Mech Engg 43 6669-6674
14 Maneesh K Yadav ShaileshMPandey Sumit Chaudhary and Qasim Murtaza (2012) ldquoEffects of machining variables on surface roughness in wire-EDM of AISI D3rdquo International journal of engineering sciences 1(3) 2277-9698
15 Navjot Singh Parlad Kumar and Khushdeeep Goyal (2014) ldquoExperimental Investigation of WEDM Variables on Surface Roughness of AISI
D3 Die Steel By Using Two Cryogenically Treated Different Wiresrdquo Manufacturing Science and Technology 2(1)20-25 16 MSPhadke ldquoQuality engineering using robust designrdquo Pearson education South Asia 2012
17 GTaguchi SChowdhury and YWu ldquoTaguchirsquos Quality Engineering Handbookrdquo John Wiley amp Sons Inc 2005
18 PJRoss ldquoTaguchi technique for quality engineeringrdquo Tata McGraw-Hill Edition 2005
4
Authors Bhavin Mehta Milind Soni Kandarp Changela
Paper Title Review of Parametric Investigation of Cryogenic Heat Pipe
Abstract with the advancement in cryogenics applications like optical sensors electronic circuitry are devised to
operate at very low temperature and thereby efficient heat transfer devices are required to transfer heat through a very
low temperature gradient In such cases even high conducting materials like copper fail to transfer heat at the
required levels as the temperature gradient is not sufficient Cryogenic heat pipes stand out as a prominent heat
transfer device in such low temperature gradient heat transfer without any external power Heat pipe consists of basic
three components like container working fluid and wick structure The various working fluids which can be used in
cryogenic heat pipe are nitrogen oxygen argon helium neon and propylene Many types of heat pipes are available
and the operation of a particular heat pipe for an application is constrained by a number of parameters The paper
deals with the review of various parameters like heat load use of various working fluids use of various wick
structures tilt angle and its effect on the performance of heat pipe at cryogenic temperature range
Keywords Heat Pipe Cryogenics Working fluid Wick structure
References 1 Chandratilleke R Hatakeyama H and Nakagome H Development of cryogenic loop heat pipes 1998 Cryogenics vol- 38 263ndash269
2 Mo Q Liang JT A novel design and experimental study of a cryogenic loop heat pipe with high heat transfer capability 2006 International Journal of Heat and Mass Transfer vol-49 770ndash776
3 Kwon D W Sedwick RJ Cryogenic heat pipe for cooling high temperature superconductors 2009 Cryogenics vol-49 514ndash523
4 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Cryogenic target with very thin lsquolsquogold fingerrsquorsquo heat pipe 2006 Nuclear Instruments and Methods in Physics Research Vol 556 20ndash23
5 Abdel-Samad S Abdel-Bary M Kilian K Ritman J Deuteriu heat pipesmdashcryogenic targets for COSY experiments 2005 Nuclear
Instruments and Methods in Physics Research A 550 61ndash69 6 Jiao A Maa H B Critser J K Experimental investigations of cryogenic oscillating heat pipes 2009 International Journal of Heat and
Mass Transfer Volume 52 3504-3509
7 Bai L Lin G Zhang H Miao J Wen D Experimental study of a nitrogen-charged cryogenic loop heat pipe 2012 Cryogenics Article in press
8 Zhao Y Yan T Liang J Experimental study on a cryogenic loop heat pipe with high heat capacity 2011 International Journal of Heat and
Mass Transfer 54 3304ndash3308 9 Mo Q Liang J Operational performance of a cryogenic loop heat pipe with insufficient working fluid inventory 2006 International Journal
of Refrigeration 29 519ndash527
10 Abdel-Bary M Abdel-Samad S Kilian K 2m heat pipe-cryogenic targets for COSY-TOF experiment 2005 Nuclear Instruments and Methods in Physics Research A 551 236ndash244
11 Abdel-Bary M Abdel-Samad S Elawadi G A Kilian K Ritman J A thin gold coated hydrogen heat pipe-cryogenic target for external
experiments at COSY 2009 Cryogenics 49 192ndash197 12 Natsume K Mito T Yanagi M Tamura H Tamada T Shikimachi K Hirano N Nagaya S Heat transfer performance of cryogenic
oscillating heat pipes for effective cooling of superconducting magnets 2011 Cryogenics 51 309ndash314
16-19
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
13 El-Awadi G Abdel-Samad S Abdel-Bary M Ritman J Improving the performance of the cryogenic heat pipe-target system for the COSY-TOF experiment 2009 Vacuum 83 1321ndash1325
14 Muniappan S and Arumugam S Experimental investigation on an axial grooved cryogenic heat pipe 2012 Thermal science vol 16 133-
138 15 Senthil Kumar M Senthil Kumar A Investigation on Start-Up Characteristics of Cryogenic Heat Pipes 2011 ARPN Journal of
Engineering amp Applied science Vol 6 (6) 58-61
16 Namac P Caja A Malcho M Thermal Performance measurement of heat pipe 2011 Global Journal of Technology amp Optimization Vol 2 104-110
17 Korn F Heat Pipe amp its application 2008 Heat amp Mass Transport project report
18 Chi S W Heat Pipe Theory amp Practice 1976 Hemisphere Publishing Corporation 19 Faghri A Heat Pipe Science and Technology 1995 Taylor amp Francis publishers
20 Barron R F Cryogenic systems 1985 Oxford University Pres
5
Authors Ankita R Suvagia
Paper Title A Review on Microstrip Antenna Optimization using Bio-Inspired Optimization Techniques
Abstract Soft computing techniques like neural network genetic and other optimization techniques proved to be
an effective way to solve the problem of getting optimum value of antenna parameters for a particular frequency
band It provides a solution for high dimension problems with multiple local optima Parameters like gain return loss
and directivity are optimized for a microstrip antenna This paper highlights the implementation of neural network
and other bio-inspired optimization techniques like Particle ndashSwarm Optimization (PSO) Differential Evolution
(DE) Techniques and Genetic Algorithm on Microstrip antenna Dimensions which results in better Performance
Keywords Optimization Particle Swarm Optimization (PSO) Genetic Algorithm (GA) Differential Evolution
(DE) Biogeographic ndash Based Optimization (BBO)
References 1 Yahya Rahmat- Shamii Joshua M Kovitz Harish Rajagopalan ldquoNature ndash Inspired Optimization Techniques In Communication Antenna
Designrdquo Proceeding Of The IEEE | Vol100 | No7 July 2012 2 Satvir Singh Shelja Tayal Gagan Sachdev ldquoEvolutionary Performance of BBO and PSO Algorithm For Yagi-Uda Antenna Design
Optimizationrdquo IEEE 2012 ISBN 978-1-4673-4805-8
3 Dan Simon ldquoBiogeographic Based Optimizationrdquo IEEE Transactions on Evolutionary Computation Vol 12 No 6 Ieee2008 Isbn 1089-778 X
4 MRLohokare SSPattanaik BKPanigrahi SDas MKBakwad ldquoParameter Calculation of Rectangular Microstrip Antenna Using
Biogeographic- Based Optimizationrdquo 978-1-4244-4819-709$2500 copy2009 IEEE
20-22
6
Authors Mohammed Jassim
Paper Title Design of High Performance Middleware for Dynamic Peer-To-Peer Networks
Abstract This paper deals with a specially designed middleware (P2P Messaging System) that release the
advantages of peer-to-peer networks to a broad spectrum of applications The goal of this paper is to design a
middleware for p2p networks that focuses on high-performance group communication based on a publishsubscribe
model and its performance is compared with the JXTA technology The P2P Messaging System considers the
heterogeneous and dynamic character of peer-to-peer networks by an augmented topology and its supporting
features This paper gives a solution for an efficient group communication that is established by creating an Overlay
networks to overcome topological limitations implementing the Multi-ring topology to provide scalability
heterogeneity of Peers and decentralization creation of Dual mode links to allow multiple message sources and to
avoid message collisions and creation of Backup links to increase robustness
Keywords Peer-to-Peer Domain Name Server World Wide Web Over lay networks
References 1 A Rowstron and P Druschel ldquoPastry Scalable Distributed Object Location and Routing for Large-Scale Peer-to-Peer Systemsrdquo Proc
IFIPACM Intrsquol Conf Distrib Sys Platforms (Middleware) Heidelberg Germany Nov2001 pp 329ndash50
2 MOJungingerldquoA High Performance Messaging System for Peer- to-Peer NetworksrdquoMasterrsquosthesis Univ of MO-Kansas City 2003 httpwwwjungingerbizthesis 11
3 M O Junginger and Y Lee ldquoThe Multi-Ring topology-High-Performance Group Communication in Peer-to-Peer Networksrdquo Proc 2nd
Intrsquol Conf Peer to-Peer Comp 2002 pp 49ndash56 4 AWLooldquoThe Future of Peer-to-Peer Computingrdquo Commun ACM vol 46no 9 pp 57ndash61September 2003
5 WWTerpstra et alldquoA Peer-to-Peer Approach to Content-Based PublishSubscriberdquo 2nd Intrsquol Wksp Distrib Event-Based Sys San
DiegoCA June 8 2003 6 IStoica et alldquoChordA Scalable Peer-to-Peer Lookup Protocol for Internet Applicationsrdquo IEEE ACM Trans Net vol 11 no
1Feb2003pp17ndash32forInternetApplicationsrdquoIEEEACM Trans Net vol 11 no 1 Feb 2003 pp 17ndash32
7 GMuumlhl ldquoLarge-Scale Content-Based Publish Subscribe SystemsrdquoPhDthesisUnivof Technology Darmstadt 2002 8 P R Pietzuch and J Bacon ldquoPeer-to-Peer Overlay Broker Networks in an Event-Based Middlewarerdquo 2nd Intrsquol Wksp Distrib Event-
Based Sys San Diego CA June 8 2003 9 Sun Microsystems (2003) Project JXTA Home page Available at httpwwwjxtaorg
10 Daswani N Garcia-Molina H and Yang B (2003) Open Problems in Data-Sharing Peer to-Peer Systems Proceedings of the 9th
International Conference on Database Theory pp1-15 Springer-Verlag eidelberg Germany
23-27
7
Authors Neha Sobti Ketki Arora
Paper Title Implementation of Data Mining Decision Tree Algorithms on Mobile Computing Environment
Abstract The idea of complex activity for characterizing the continuously changing complex behavior patterns of
mobile users For the purpose of data management a complex activity is modeled as a sequence of location
movement service requests the co-occurrence of location and service or the interleaving of all above An activity
may be composed of sub activities We therefore propose new methods for complex activity mining incremental
maintenance online detection and proactive data management based on user activities In particular we devise
28-31
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
prefetching and pushing techniques with cost-sensitive control to facilitate predictive data allocation Preliminary
implementation and simulation results demonstrate that the proposed framework and techniques can significantly
increase local availability conserve execution cost reduce response time and improve cache utilization Different
activities may exhibit dependencies that affect user behaviors We argue that the complex activity concept provides a
more precise rich and detail description of user behavioral patterns which are invaluable for data management in
mobile environments Proper exploration of user activities has the potential of providing much higher quality and
personalized services to individual user at the right place on the right time With the help of data mining algorithms
we will try to reduce execution time find correctly classified instance reduce error rate and improve accuracy
Keywords ID3 DTNA Mobile environment data mining algorithms
References 1 Xiang Lian Student Member IEEE and Lei Chen Member IEEE ldquoRanked Query Processing in Uncertain Databasesrdquo IEEE
TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO3 MARCH 2010
2 Stavroula G Mougiakakou Member IEEE ldquoSMARTDIAB A Communication and Information Technology Approach for the Intelligent
Monitoring Management and ollow-up of Type 1 Diabetes Patientsrdquo IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE VOL 14 NO 3 MAY 2010
3 Eric Hsueh-Chan Lu Vincent S Tseng Member IEEE ldquoMining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based
Service Environmentsrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 23 NO 6 JUNE 2011
4 Mark N Gasson EleniKosta Denis Royer Martin Meints and Kevin Warwick ldquoNormality Mining Privacy Implications of Behavioral
Profiles Drawn From GPS Enabled Mobile Phonesrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART C
APPLICATIONS AND REVIEWS VOL 41 NO 2 MARCH 2011 5 Tzung-Shi Chen Member IEEE Yen-Ssu Chou and Tzung-Cheng Chen ldquoMining User Movement Behavior Patterns in a Mobile Service
Environmentrdquo IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSmdashPART A SYSTEMS AND HUMANS VOL 42
NO 1 JANUARY 2012 6 R Agrawal T Imielinski and A Swami ldquoMining Associations between Sets of Items in Massive Databasesrdquo Proc ACM SIGMOD pp
207-216 May 1993
7 R Agrawal and J Shafer ldquoParallel Mining of Association Rulesrdquo IEEE Trans Knowledge and Data Eng vol 8 no 6 pp 866-883 Dec 1996
8 R Agrawal and R Srikant ldquoMining Sequential Patternsrdquo Proc 11th Intrsquol Conf Data Eng pp 3-14 Mar 1995
9 B Bruegge and B Bennington ldquoApplications of Mobile Computing and Communicationrdquo IEEE Personal Comm pp 64-71 Feb 1996 10 M-S Chen J Han and PS Yu ldquoData Mining An Overview from Database Perspectiverdquo IEEE Trans Knowledge and Data Eng vol 8
no 6 pp 866-883 Dec 1996
11 M-S Chen J-SPark and PS Yu ldquoEfficient Data Mining for Path Traversal Patternsrdquo IEEE Trans Knowledge and Data Eng vol 10 no 2 pp 209-221 Apr 1998
12 DW Cheung VT Ng W Fu and Y Fu ldquoEfficient Mining Association Rules in Distributed Databasesrdquo IEEE Trans Knowledge and Data
Eng vol 8 no 6 pp 911-922 Dec 1996
13 TH Cormen CE Leiserson and RL Rivest Introduction to Algorithm MIT Press 1989
14 SouptikDatta Chris R Giannella and HillolKargupta Senior Member IEEE ldquoApproximate Distributed K-Means Clustering over a Peer-to-Peer Networkrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 21 NO 10 OCTOBER 2009
15 Kwong-Sak Leung Kin Hong Lee Jin-Feng Wang ldquoData Mining on DNA Sequences of Hepatitis B Virusrdquo IEEEACM
TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS VOL 8 NO 2 MARCHAPRIL 16 Shady Shehata Member IEEE FakhriKarray Senior Member IEEE and Mohamed S Kamel Fellow IEEE ldquoAn Efficient Concept-Based
Mining Model for Enhancing Text Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL 22 NO
10 OCTOBER 17 Lijun Wang ManjeetRege Ming Dong Member IEEE and Yongsheng Ding Senior Member IEEE ldquoLow-Rank Kernel Matrix
Factorization for Large-Scale Evolutionary Clusteringrdquo IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING VOL
24 NO 6 JUNE 2012 18 Eghbal G Mansoori ldquoFRBC A Fuzzy Rule-Based Clustering Algorithmrdquo IEEE TRANSACTIONS ON FUZZY SYSTEMS VOL 19 NO
5 OCTOBER
19 Ji Dan QiuJianlin ldquoA Synthesized Data Mining Algorithm Based on Clustering and Decision Treerdquo 2010 10th IEEE International Conference on Computer and Information Technology (CIT 2010)
8
Authors Manisha Patil Manjusha Deshmukh
Paper Title Comparative Study of Relative Radiometric Normalization using No Change Set
Abstract Satellite images involves radiometric errors as well as geometric errors these errors should be
normalized For radiometric correction of satellite images there two main methods are useful absolute radiometric
normalization and relative radiometric normalization Relative radiometric correction has number of applications in
weather and climate studies crop studies detection and removal of cloud change detection and so on The image
distortion due to cloud cover is a classical problem of remote sensing imagery Especially for non-stationary
satellite it is commonly found in the earth resource observation application Removing cloud cover from satellite
imagery is very useful for assisting image interpretation Hence cloud detection and removal is very vital in
processing of satellite imagery For detection and removal of cloud relative radiometric normalization using no
change set (NC) technique is proposed here in spatial domain as well as in frequency domain The cloudy image is
radiometrically normalized by using reference image of same area acquired at different date The visual appearance
results statistical results and histogram results are discussed
Keywords Normalization No Change Set Radiometric Relative
References 1 Yang XJ and CP Lo Relative Radiometric Normalization Performance for Change Detection From Multi-Date Satellite Images
Photogrammetric Engineering and Remote Sensing Vol 66 No 8 pp 967-980 2000
2 wwwnclakuktcmwebbilkomodule7lesson3pdf
3 M Caprioli B Figorito E Tarantino Radiometric Calibration Methods For Change Detection Analysis Of Satellite Data Aimed At Environmental Risk Monitoring DVT- Polytechnic University of Bari -Italy E-mail mcapriolipolibaitbenedetto1980liberoit
etarantinopolibait The International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences Vol XXXVII
Part B8 Beijing 2008
32-36
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
4 Todd A Schroeder a Warren B Cohen b Conghe Song c Morton J Canty d Zhiqiang Yang Radiometric Correction of Multi-Temporal Landsat Data for Characterization of Early Successional Forest Patterns in Western Oregon Department of Forest Science Oregon State
University Corvallis OR 97331 United States Forestry Sciences Laboratory Pacific Northwest Research Station USDA Forest Service
3200 SW Jefferson Way Corvallis OR 97331 United States c Department of Geography University of North Carolina Chapel Hill NC 27599 United States Systems Analysis and Technology Evaluation Juumllich Research Center D-52425 Juumllich Germany Received 2
November 2005 received in revised form 10 March 2006 accepted 11March 2006
5 Xuexia Chen Lee Vierling Don Deering A Simple and E_ective Radiometric Correction Method to Improve Landscape Change Detection Across Sensors and Across Time Remote Sensing of Environment May 2005
6 Munmun Baisantr DrDSNegi OPManocha Automatic Relative Radiometric Normalization for Change Detection of Satellite
Imagery ACEEE Int J on Information Technology Vol 02 No 02 April 2012 7 RN Sahoo RKTomar Radiometric Scene Correction of Temporal Multi-Spectral Satellite for Crop Discrimination Indian Journal of
radio and Space Physics Vol 35 April 2006pp 116-121
8 Seema Biday Udhav Bhosle _Relative Radiometric Correction of Cloudy Multitemporal Satellite Imagery_ International Journal of Civil and Environmental Engineering 23 2010
9 Seema Gore Biday and Udhav Bhosle Radiometric Correction of Multitemporal Satellite Imagery Journal of Computer Science 6 (9)
1027-1036 2010 ISSN 1549-3636 10 Gang Hong Yun Zhang Radiometric Normalization Of Ikonos Image sing Quick bird Image For Urban Area Change Detection
Department of Geodesy and Geometrics Engineering University of New Brunswick 2002
11 John Rogana DongMei Chen Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change 61 (2004) PP 301_32543
12 J Yuan D and Elvidge CD 1996 Comparison of Relative Radiometric Normalization Techniques ISPRS Journal of Photogrammetry
and Remote Sensing vol 51 pp 117-126
13 Dr Mohamed Mansoor Roomi RBhargavi TMHajira Rahima Banu Automatic Deintification Of Cloud Cove Regions Using Surf
International Journal of Computer Science Engineering and Information Technology (IJCSEIT) Vol2 No2 April 2012
14 Ruhul Amin Richard Gould Weilin Houa Zhongping Leeb and Robert Arnone Automated Detection and Removal of Cloud Shadows on HICO Images Ocean Sensing and Monitoring III edited by Weilin W Hou Robert Arnone Proc of SPIE Vol 8030803004 2011
15 Salem Saleh Al-Amri N V Kalyankar and Khamitkar SD Image Segmentation By Using Threshold Techniques Jornal of computing
Vol2 issue 5 May 2010 ISSN 2151-9617 16 Tracey A Dorian Tracey A Dorian National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State
University MICHAEL W DOUGLASNOAAs Office of Oceanic and Atmospheric Research amp National Severe Storms Laboratory
Corresponding author address 1409 Allan Lane West Chester PA 19380 tad240psuedu 17 El Mamoun Haroun Osman Demonstrating an Efficient Algorithm for Cloud Detecting and Removal for Satellite College of Natural
Resources and Environmental Studies Department of Forestry University of Bahri Khartoum- Sudan December 27 2012
18 Tracey A Dorian Michael W Douglas Choosing the Most Accurate Thresholds in a Cloud Detection Algorithm for Modis Imagery National Weather Center Research Experiences for Undergraduates Program amp Pennsylvania State University NOAAs Office of Oceanic
and Atmospheric Research amp National Severe Storms Laboratory
19 Gary Jedlovec Automated Detection of Clouds in Satellite Imagery NASA Marshall Space Flight Center USA 20 E Zaunick K Janschek J Levenhagen GEO Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Institute of Automation Technische Universitat Dresden Dresden Germany Tel +49 351 463 31913 Fax +49 351 463 37039 e-mail
edgarzaunicktu-dresdende Institute of Automation Technische Universitat Dresden Dresden Germany e-mail klausjanschektu-
dresdende EADS Astrium GmbH Friedrichshafen Germany email jenslevenhagenastriumeadsnet
21 EH Helmer and B Ruefenacht Cloud-Free Satellite Image Mosaics with RegressionTrees and Histogram Matching Photogrammetric Engineering amp Remote Sensing Vol 71 No 9 September 2005 pp 1079_1089 0099-1112057109_1079$3000copy 2005 American
Society for Photogrammetry and Remote Sensing
9
Authors M Balasubba Reddy YP Obulesh SSivanaga Raju Venkata Suresh
Paper Title Optimal Power Flow in the Presence of Generalized Interline Power Flow Controller
Abstract In this paper a novel non-linear optimization problem is formulated to minimize the generation fuel cost
and transmission power losses in the presence of generalized interline power flow controller (GIPFC) This paper
presents a methodology to optimally allocate the device in a give power system by minimizing the system severity
system buses and total transmission line power flows in order to maximize the system security The formulated
objectives are optimized individually while satisfying equality in-equality practical and device operational
constraints A new optimization method based on cuckoo search algorithm and genetic algorithm cross over
operations is proposed to test the effectiveness on IEEE-14 bus system and the detailed analysis is carried out
Keywords Optimal power flow Generalized interline power flow controller Power injection model Practical
constraints HCSA
References 1 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoA Novel Approach for modeling the steady-state VSC-Based Multiline FACTS Controllers
and their operational constraintsrdquo IEEE Trans on Pwr Del 2008 Vol23 No1 pp 457-464 2 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoUnified Power Flow Controller (UPFC) its versatility in handling power flow and
interaction with the networkrdquo in Proc IEEEPES Transmission amp Distribution Conference 2002 Asia Pacific Yokohama Japan 2002
Vol2 pp1338-1343 3 RLeon Vasquez-Arnez Luiz Cera Zanetta Jr ldquoMulti-Line Power Flow Control An Evaluation of the GIPFC (Generalized Interline Power
Flow Controller)rdquo International Conference on Power Systems Transients (IPSTrsquo05) in Montreal Canada June 19-23 2005
4 C R Fuerte-Esquivel and E Acha ldquoUnified power flow controller a critical comparison of Newton-Raphson UPFC algorithms in power flow studiesrdquo IEE Proc-Gener Transm Distrib Vol144 No 5 Sept 1997 PP 437ndash444[10]
5 M Noroozian L Angquist M Ghandhari and G Andersson ldquoUse of UPFC for optimal power flow controlrdquo IEEE Trans Power Del
Vol12 No 4 Oct 1997 PP 1629ndash1634
6 L Gyugyi K K Sen and C D Schauder ldquoThe interline power flow controller concept a new approach to power flow management in
transmission systemsrdquo IEEE Trans Power Del Vol 14 No 3 Jul 1999PP1115ndash1123
7 XPZhang Advanced modeling of the multicontrol functional static synchronous series compensator (SSSC) in Newton power flow IEEE Trans Power Syst Vol18 No4 Nov2003 PP1410ndash1416
8 X P Zhang ldquoModeling of the interline power flow controller and the generalized unified power flow controller in Newton power flowrdquo
IEE Proc-Gener Transm Distrib Vol 150 No 3 May 2003 PP 268ndash274 9 S Teerathana A Yokoyama Y Nakachi and M Yasumatsu An optimal power flow control method of power system by interline power
flow controller (IPFC) Proc of 7th Int Power Engg Conf Singapore 2005 PP 1-6 10 Jun Zhang and Akihiko Yokoyama Optimal power flow control for congestion management by interline power flow controller (IPFC)
IEEE Int Conf on Power System Technology Chongqing China Oct2006
11 Vinkovic A and Mihalic R ldquoA current-based model of SSSC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol78 2008
37-42
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
PP 1806 ndash1813 12 Vinkovic A and Mihalic R ldquoA current-based model of an IPFC for NewtonndashRaphson power flowrdquo Electric Power Syst Res Vol 79
2009PP 1247ndash1254
13 Ramin Rajabioun ldquoCuckoo Optimization Algorithmrdquo Applied soft computing Vol11 2011 PP 550821-5518 14 Xin-She Yang Suash Deb ldquoCuckoo Search via Levy Flightsrdquo in Proc of World Congree on Nature amp Biologically Inspired Computing
(NaBIC 2009) India IEEE Publications USA pp210-214
10
Authors Prachi Agrawal
Paper Title Radio Frequency based Automatic Meter Reading System
Abstract This paper specifies a practical model of Pulse Detection and Electric Metering System based on the
Radio Frequency (RF) The supporting device transmitter works on 985 MHz operating frequency and 2005 MHz
carrier frequency and receiver works on same This project works within the range of 50 meters This Radio
Frequency (RF) based Pulse Detection and Electric Metering System is used for clear and accurate billing based on
actual consumption rather than on an estimate based on previous consumption
Keywords Automatic Meter Reading Digital Power Meter Radio Frequency Short Messaging System
References 1 H G Rodney Tan CH Lee ldquoAutomatic Power Meter Reading System using GSM networkrdquo 978-981-05-9423-7 c_2007 GPRS
2 Irfan Quazi Sachin Kumar Gupta and Rajendra Prasad ldquoPre Paid Energy Meter based on AVR Microcontrollerrdquo IJERA Vol-1 pp
1879-1884 3 Shoeb SSheikh ldquoDesign and Implementation of ldquoWireless AutomaticMeter Reading Systemrdquo IJEST Vol-3 pp 2329-2334
4 Rob van Gerwen Saskia Jaarsma and Rob Wilhite KEMA ldquoSmart Meteringrdquo July 2006
5 THLee ldquoDesign of CMOS Radio Frequency Integrated Circuitsrdquo second edition CUP 2004 6 Li Yujin ldquoRemote Automatic Meter Reading System based on GPRS Technologyrdquo IEEE 2010
7 Litting Cao Wei Jiang Zhaoli Zhang ldquoAutomatic Meter Reading System based on wireless Mesh Networks and SOPC Technologyrdquo
IEEE Nov 3 2009 8 Liting Cao Jingwen Tian and Dahang Zhang ldquoNetworked Remote Meter-Reading System Based on Wireless CommunicationTechnologyrdquo
in International Conference on Information
9 Acquisition 2006 IEEE 10 Richa Shrivastava and Nipun Kumar Mishra An Embedded System for Wireless Prepaid Billing of Digital Energy eter
International Journal of Advances in Electronics Engineering pp 322-324
11 Amit Jain Mohnish Bagree ldquoA prepaid meter using mobile communicationrdquo International Journal of Engineering Science and Technology Vol 3 No 3 2011 pp 160-166
12 Md Mejbaul Haque1 Md Kamal Hossain Md Mortuza Ali Md Rafiqul Islam Sheikh ldquoMicrocontroller Based Single Phase Digital
Prepaid Energy Meter for Improved Metering and Billing Systemrdquo International Journal of Power Electronics and Drive System (IJPEDS)
Vol1 No2 December 2011 pp 139~147 ISSN 2088-8694
13 httpwwwseminarprojectscomThread- automatic-meter- reading-amrixzzle7T3VMcjInternational Standards for all electrical
electronic and related technologies available at- httpwwwiecch
43-45
11
Authors Vithya KP Premkumar R
Paper Title Secured ECG Distribution using Compression and RSA Algorithm for Telemedicine Application
Abstract The detailed condition of a cardiac patient can be better understood from his ECG For treatment of the
patient over the internet both the security and the bandwidth issues plays a very vital role A new approach which
combines RSA for transmission and SPHIT (Set Partioning in Hierarchical Trees) for image compression which
enables uploading of important coefficients of ECG signal This technique not only provides security but also
provides doctor to patient interaction The simulation results indicate that the proposed method enhances the security
for data transmission over the internet with a compression ratio of 25 The idea for choosing the SPHIT is it is
lossless algorithm and much of importance is to be given to the patient details to provide perfect treatment by all
means
Keywords Image compression Image encryption discrete wavelet transform RSA Encryption SPHIT ECG
References 1 Biel L Peterson O Philips on LWide P Ecg analysis a new approach in human identification IEEE Transaction on Instrumentation and
measurement at 2001
2 W Lee and C Lee ldquoA cryptographic key management solution for hipaa privacysecurity regulationsrdquo IEEE Transactions on InformationTechnology in Biomedicine vol 12 no 1 pp 34ndash41 2008
3 Shashikala Channalli et al ldquoSteganography An Art of Hiding Datardquo International Journal on Computer Science and Engineering Vol1(3)
2009 137-141 137 4 Chunlin Song Sud Sudirman Madjid Merabti ldquoRecent Advances and Classification of WatermarkingTechniques in Digital
ImagesrdquoInternational Conference Oct 2009
5 Ayman Ibaida Ibrahim Khalil ldquoWavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Sys-temsrdquo IEEE Transactions On Biomedical Engineering
6 Ibaida A Sch of Comput Sci amp IT RMIT Univ Melbourne VIC Australia Khalil I Al-Shammary D ldquoEmbedding patients
confidential data in ECG signal for healthcare information systemsrdquo Engineering in Medicine and Biology Society (EMBC) 2010 Annual International Conference of the IEEE
7 M Engin Y Yamaner E Z Engin ldquoA biotelemetric system for human ECG measurementsrdquo Elsevier Measurement Article in Press
accepted 7 April 2005 8 Chiaraluce F Ciccarelli L et al A new RSA algorithm for video encryption IEEE Trans Consum Electron 2002 48838ndash43
9 Sufi F Khalil I A new feature detection mechanism and its application in secured ecg transmission with noise Masking Journal of Medical
Systems 2009 33(3)121ndash132 10 S Jayaraman S Esakkirajan and T Veerakumar Digital Image Processing McGraw-Hill 2009
11 K Zheng and X Qian ldquoReversible Data Hiding for Electrocardiogram Signal Based on Wavelet Transformsrdquo in International Conference
on Computational Intelligence and Security 2008 CISrsquo08 vol 1 2008 12 A Al-Fahoum ldquoQuality assessment of ECG compression techniques using a wavelet-based diagnostic measurerdquo IEEE Transactions on
Information Technology in Biomedicine vol 10 no 1 2006
46-48
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
12
Authors Manoj Sharadrao Awakhare
Paper Title A CMOS Class-E Cascode Power Amplifier for GSM Application
Abstract The design of A 24-GHz CMOS Class E cascode power amplifier (PA) for GSM applications in TSMC
018-μm CMOS technology present in this paper Proposed Class E cascode PA topology is a single-stage topology
in order to minimize the device stress problem A parallel capacitor is connected across the transistors for efficiency
enrichment also for dominating the effect of parasitic capacitances at the drain node The simulation results point to
that the PA delivers 12 dBm output power with 436 and 466 of power added efficiency (PAE) and drain
efficiency (DE) respectively with 25-Volt power supply into a 50-Ω load
Keywords Class E CMOS power amplifier power added efficiency switching amplifier
References 1 N O Sokal and A D Sokal ldquoClass EmdashA new class of high-efficiency tuned single-ended switching power amplifiersrdquo IEEE J Solid-
State Circuits vol SC-10 no 6 pp 168ndash176 Jun 1975 2 F H Raab ldquoIdealized operation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-24 no 12 pp 725ndash735
Dec1977
3 N Kumar C Prakash A Grebennikov and A Mediano ldquoHigh-efficiency broadband parallel-circuit class E RF power amplifier with reactance-compensation techniquerdquo IEEE Trans Microw Theory Tech vol 56 no 3 pp 604ndash612 Mar 2008
4 M Kazimierczuk and K Puczko ldquoExact analysis of class E tuned power amplifier at any 1048576 and switch duty cyclerdquo IEEE Trans Circuits
Syst vol CAS-34 no 2 pp 149ndash158 Feb 1987 5 V Grebennikov ldquoClass E high-efficiency power amplifiers Historical aspect and future prospectrdquo Appl Microw Wireless vol14 no
72 pp 64ndash71 JulndashAug 2002
6 C-H Li and Y-O Yam ldquoMaximum frequency and optimum performance of class E power amplifiersrdquo Proc Inst Elect EngmdashCircuits Devices Syst vol 141 pp 174ndash184 Jun 1994
7 J Wilkinson and K A Everard ldquoTransmission line load network topology for class E power amplifiersrdquo IEEE Trans Microw Theory
Tech vol 49 no 6 pp 1202ndash1210 Jun 2001 8 TTuetsugu and M L Kazimierczuk ldquoAnalysis and design of class E amplifier with shunt capacitance composed of nonlinear and linear
capacitancesrdquoIEEE Trans Circuits Syst I Reg Papers vol 51 no 7 pp 1261ndash1268 Jul 2004
9 PAlinikula K Choi and I Long ldquoDesign of class E power amplifier with nonlinear parasitic output capacitancerdquo IEEE Trans Circuits Syst II Analog Digit Signal Process vol 46 no 2 pp 114ndash119 Feb1999
10 Mediano P Molina-Gaudoacute and C Bernal ldquoDesign of class E amplifier with nonlinear and linear shunt capacitances for any duty
cyclerdquoIEEE Trans Microw Theory Tech vol 55 no 3 pp 484ndash492 Mar 2007 11 J Jeon J Kim and Y Kwon ldquoTemperature compensating bias circuit for GaAs HBT RF power amplifiers with a stage
bypassarchitecturerdquoElectron Lett vol 44 no 19 pp 1141ndash1143 Sep 2008
12 S Gao H Xu S Heikman U K Mishra and R A York ldquoTwo-stage quasi-class-E power amplifier in GaN HEMT technologyrdquo IEEE
Microw Wireless Compon Lett vol 16 no 1 pp 28ndash30 Jan 2006
13 PWatson et al ldquoAn indium phosphide_-band class-E power MMIC with 40 bandwidthrdquo in IEEE Compound Semiconduct Integr
Crcuits Symp Palm Springs CA Nov 2005 pp 220ndash223 14 K-C Tsai and P R Gray ldquoA 19-GHz 1-W CMOS class-E power amplifier for wireless communicationsrdquo IEEE J Solid-State Circuit
vol 34 no 7 pp 962ndash970 Jul 1999
15 C Yoo and Q Huang ldquoA common-gate switched 09-W class-E power amplifier with 41 PAE in 025-_m CMOSrdquo IEEE J Solid-State Circuits vol 36 no 5 pp 823ndash830 May 2001
16 JJang C Park H Kim and S Hong ldquoA CMOS RF power amplifier using an off-chip transmission line transformer with 62
PAErdquoIEEE Microw Wireless Compon Lett vol 17 no 5 pp 385ndash387May 2007 17 R Brama L Larcher A Mazzanti and F Svelto ldquoA 305 dBm 48 PAE CMOS class-E PA with integrated balun for RF
applicationsrdquoIEEE J Solid-State Circuits vol 43 no 8 pp 1755ndash1762 Aug 2008
18 K L R Mertens and M S J Steyaert ldquoA 700-MHz 1-W fully differential CMOS class-E power amplifierrdquo IEEE J Solid-State Circuitsvol 37 no 1 pp 137ndash141 Jan 2006
19 R Negra and W Baumlchtold ldquoLumped-element load-network design for class-E power amplifiersrdquo IEEE Trans Microw Theory Tech
vol 54no 6 pp 2684ndash2690 Jun 2006 20 M Apostolidou et al ldquoA 65 nm CMOS 30 dBm class-E RF power amplifier with 60 power added efficiencyrdquo in IEEE Radio Freq
IntegrCircuits Symp Dig Jun 2008 pp 141ndash144
21 Mazzanti L Larcher R Brama and F Svelto ldquoAnalysis of reliability and power efficiency in cascode class-E PAsrdquo IEEE J Solid-
StateCircuits vol 41 no 5 pp 1222ndash1229 May 2006
22 C-C Ho C-W Kuo C-C Hsiao and Y-J ChanldquoA fully integrated class-E CMOS amplifier with a class-F driver stagerdquo in IEEE RadioFreq Integr Circuits Symp Dig Jun 2003 pp 211ndash214
23 E Cipriani P Colantonio F Giannini and R Giofregrave ldquoOptimization of class-E power amplifier design above theoretical maximum
frequencyrdquoin Proc 38th Eur Microw Conf Oct 2008 pp 1541ndash1544 24 Grebennikov and N O Sokal Switchmode RF Power Amplifiers Burlington MA Newnes 2007 pp 186ndash190
25 F H Raab ldquoEffects of circuit variations on the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no 4 pp 239ndash
247Apr 1978 26 N O Sokal ldquoClass E high efficiency switching-mode power amplifiers from HF to microwaverdquo in IEEE MTT-S Int Microw Symp
DigJun 1998 pp 1109ndash1112
27 N O Sokal ldquoClass-E power amplifiersrdquo QEXCommun Quart pp9ndash20 JanFeb 2001 28 M Kazimierczuk ldquoCollector amplitude modulation of the class E tuned power amplifierrdquo IEEE Trans Circuits Syst vol CAS-31 no6
pp 543ndash549 Jun 1984
29 F H Raab and N O Sokal ldquoTransistor power losses in the class E tuned power amplifierrdquo IEEE J Solid-State Circuits vol SSC-13 no6 pp 912ndash914 Dec 1978
30 International Technology Roadmap for Semiconductors System Drivers 2005
31 Andrea Mazzanti Associate Member IEEE Luca Larcher Member IEEE Riccardo Brama Student Member IEEE and Francesco Svelto Member IEEE ldquoAnalysis of Reliability and Power Efficiency in Cascode Class-E PAsrdquo IEEE JOURNAL OF SOLID STATE
CIRCUITS VOL 41 NO 5 MAY 2006
32 ldquoOptimised class ndashE rf power amplifier design in bulk cmosrdquo thesis by tao wang university of Texas
49-53
13
Authors Gayathri M A Sudha
Paper Title Software Defect Prediction System using Multilayer Perceptron Neural Network with Data Mining
Abstract Fault prediction in software systems is crucial for any software organization to produce quality and
reliable software Faults (defects) or fault-proneness of software modules are to be predicted in the early stages of
software life cycle so that more testing efforts can be put on faulty modules Various metrics in software like
54-59
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Cyclomatic complexity Lines of Code have been calculated and effectively used for predicting faults Techniques
like statistical methods data mining machine learning and mixed algorithms which were based on software metrics
associated with the software have also been used to predict software defects Many works have been carried out in
the prediction of faults and fault-proneness of software systems using varied techniques In this paper an enhanced
Multilayer Perceptron Neural Network based machine learning technique is explored and a comparative analysis is
performed for the modeling of fault-proneness prediction in software systems The data set of software metrics used
for this research is acquired from NASArsquos Metrics Data Program (MDP)
Keywords Faults Fault-proneness Software Metrics Software Defect Prediction Multilayer Perceptron Neural
Network
References 1 Sunghun Kim Hongyu Zhang Rongxin Wu and Liang Gong lsquoDealing with Noise in Defect Predictionrsquo CSErsquo11 Waikiki Honolulu HI
USA ACM 978-1-4503-0445-01105 2011
2 Rachna Ratra Navneet Singh Randhawa Parneet Kaur and Dr Gurdev Singh Early Prediction of Fault Prone Modules using Clustering
Based vs Neural Network Approach in Software Systems IJECT Vol 2 Issue 4 Oct - Dec 2011 3 Naheed Azeem and Shazia Usmani Analysis of Data Mining Based Software Defect PredictioTechniques Global Journal of Computer
Science and Technology Volume 11 Issue 16 Version 10 September 2011
4 Qinbao Song Zihan Jia Martin Shepperd Shi Ying and Jin Liu A General Software Defect-Proneness Prediction Framework IEEE
Transactions on Software Engineering Vol 37 No 3 MayJune 2011
5 Yi (Cathy) Liu Member IEEE Computer Soceity Taghi M Khoshgoftaar Member IEEE and Naeem Seliya Member IEEE Evolutionary
Optimization of Software Quality Modeling with Multiple Repositories IEEE Transactions On Software Engineering Vol 36 No 6 NovemberDecember 2010 pp 852-864
6 Ebru Ardil Erdem Ucar and Parvinder S Sandhu lsquoSoftware Maintenance Severity Prediction with Soft Computing Approachrsquo Proceedings
of World Academy of Science Engineering and Technology (2009) 38 pp 139-143 7 Stefan Lessmann Bart Baesens Christophe Mues and Swantje Pietsch Benchmarking Classification Models for Software Defect
Prediction A Proposed Framework and Novel Findings IEEE Transactions On Software Engineering Vol 34 No 4 JulyAugust 2008 pg
485 8 Cagatay Catal and Banu Diri lsquoSoftware Defect Predicition Using Artificial Immune Recognition Systemrsquo Proceedings of the 25th IASTED
International Multi ndash Conference Software Engineering (2007) Innsbruck Austria ISBN Hardcopy978-0-88986-641- 61CD978-0-88986-
643-0 9 Venkata UB Challagulla Farokh B Bastani I-Ling Yen and Raymond A Paul Empirical Assessment of Machine Learning based
Software Defect Prediction Techniques Proceedings of the 10th IEEE International Workshop on Object-Oriented Real-Time Dependable
Systems (2005) 10 Fenton NE and Neil M A critique of software defect prediction models IEEE Transactions on Software Engineering Volume 25 Issue
5 Sept - Oct 1999 Page(s) 675 -689
11 Hongjun Lu Member IEEE Computer Society Rudy Setiono and Huan Liu Member IEEE Effective Data Mining Using Neural
Networks IEEE Transactions on Knowledge and Data Engineering Vol 8 No 6 December 1996
14
Authors Sharad D Pawar Abhay Utpat
Paper Title Analysis of Composite Laminate for Maximum Stiffness
Abstract The purpose of this study is to develop optimization procedure to maximize the stiffness and minimize
the weight of composite laminate subjected to in-plane loading The design variables for optimization problem are
fiber orientation angles thickness of lamina and number of laminas Maximum stress failure criteria are used to
determine whether load bearing capacity is exceeded for a configuration generated during optimization process In a
recent year the application of Fiber reinforced composite material has increased with increasing need of low weight
high strength high stiffness etc in aerospace industry automobile industry sporting equipment civil industry etc In
the case of Fiber Reinforcement Plastic composite structural design the requirements of certain application can be
achieved not only by sizing the cross sectional areas and thickness of components but by changing the material
system design ie optimizing the material system itself such as fiber orientation angle ply thickness stacking
sequence etc The optimization techniques are being used to assist the designer in finding an optimized solution
Carefully designed individual composite parts at present are about 20-30 lighter than their conventional metal
parts
Keywords Composite Material FEAStiffness
References 1 Mustafa Akbulut Fazil O Sonmez ldquoOptimum Design of Composite Laminate for Minimum Thicknessrdquo Composite and Structures
2008pp 1974-1982
2 G NarayanaNaik S Gopalakrishnan RanjanGanguli ldquoDesign Optimization of Composites using Genetic Algorithms and Failure Mechanism Based Failure Criterionrdquo Composite Structures 2008 pp 354ndash367
3 Jacob L Pelletier Senthil S Vel ldquoMulti-objective Optimization of Fiber Reinforced Composite Laminate for Strength Stiffness and
Minimal Massrdquo Composite and Structures 2006pp 2065-2080 4 M Walker RE Smith ldquoA Technique for Multi-objective Optimization of Laminated Composite Structure using Genetic Algorithm and
Finite Element Analysisrdquo Composite and Structures 2003 pp 123-128
5 Rafael F Silva Iuri B C M Rocha EvandroParente Jr Antonio M C MeloandAurea S Holanda ldquoOptimization of Laminated Tubes
using Finite Element AnalysisrsquoMechanica Computational Vol- XXIX pages 1761-1781
6 Chung Hae Park Abdelghani Saouab Joeumll Breacuteard Woo Suck Han ldquoAn Integrated Optimisation for the Weight the Structural Performance
and the Cost of Composite Structuresrdquo Composite Science Technology 2009 pp 1101-1107 7 Sukrukarakaya Omer Soykasap ldquoStructural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using
Genetic Algorithmrdquo Key Engineering Materials 2007 pp 725-728
8 T Rangaswamy SVijayarangan ldquoOptimal Design and Analysis of Automotive CompositeDrive Shaftrdquo International Symposium of Research Students on Materials Science and Engineering 2004
9 Avinash Ramsaroop and Krishnan Kanny ldquoUsing MATLAB to Design and Analyse Composite Laminatesrdquo Scientific Research Engineering 2010 pp- 904-9
10 ldquoMechanics of Composite Materialsrdquo Robert M Jones Taylor amp Francis Boca Raton Fla USA 2nd edition 1999
11 Rasoul Khandan Siamak Noroozi Philip Sewell John Vinney and Mehran Koohgilani ldquoOptimum Design of Fiber Orientation in
60-66
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
Composite Laminate Plates for Out-Plane Stressesrdquo Advances in Materials Science and Engineering 2012
15
Authors Brij Kishor Kushwaha N G Gore PJ Salunke
Paper Title Optimization of PSC Slab Bridges
Abstract The objective of this study is to investigate the appropriate optimization method to find minimum weight
and the minimum cost of a Railway PSC slabs In view of achieving this objective it is decided to develop a
computer code in MATLAB7 After validating this computer code by comparing the results with analytical results it
is planned to carry out the economical and safe design of PSC slab For the minimum weight and cost design of the
PSC slab unit the following design variables are chosen 1-Depth of PSC slab unit at center 2-Depth of PSC slab unit
at end 3-Eccentricity of prestressing cable at center amp 4-Total prestressing force
Keywords Prestressed concrete slab Railway bridges Structural optimization prestressing force cost and weight
optimisation
References 1 M Z Colin F ASCE and A J MacRae ldquoOptimization of structural concrete beamsrdquo Journal of Structural Engg (1984)110 pp1573-
1588
2 YB Miao amp LMC Simoes ldquoMulticriteria Optimum Design of prestressed Concrete Bridge Girdersrdquo FUNDACAO ORIENTE
Portugal(1995) pp8
3 Samuel HaileMichael WeldeHawariat ldquoOptimal Design for Prestressed Concrete Box Girder Bridgerdquo Thesis to MSc In Structural
Engineering University of Addis Ababa Ethiopia (2002) PP135
4 Samer Barakat Ali Salem Al Harthy Aouf R Thamer ldquoDesign of Prestressed Concrete Girder Bridges Using Optimization Techniquesrdquo Information Technology Journal (2002) Vol I PP193-201
5 J M Sadeghi amp A Babaee ldquoStructural Optimization of B70 Railway Prestressed Concrete Sleepersrdquo Iranian Journal of Science amp
Technology (2006) Vol 30 No B4 pp461-473 6 Byeong Moo Jin In Gyu Kim Young Jin Kim In Ho Yeo Won Seok Chung Jae Suk Moon ldquoProposal of Maglev Guideway Girder by
Structural Optimizationrdquo Proceeding of International Conference on Electrical Machines and Systems Seoul Korea (2007) pp1959-1962
7 Myung-Seok Bang Sung-Ho Han ldquoOptimal Design of PSC beam reinforcement for minimum life-cycle costrdquo Journal of the KOSOS (2008) Vol23 no5PP125-131
8 Mostafa A Hassanain and Robert E Loov ldquoCost optimization of concrete bridge infrastructurerdquo Canada Journal of Civil Eng (2003) 30
pp 841ndash849 9 S Rana RAhsan amp SNGhani ldquoDesign of prestressed concrete I-girder bridge superstructure using optimization algorithmrdquo IABSE-JSCE
conference Bangladesh (2010) pp211-223
10 Mamoun Alqedra Mohammed Arafa and Mohammed Ismail ldquoOptimum Cost of Prestressed and Reinforced Concrete Beams using Genetic Algorithmsrdquo Journal of Artificial Intelligence (2011) 4 pp76-88
11 Raquib Ahsan Shohel Rana and Sayeed Nurul Ghani ldquoCost Optimum Design of Post tensioned I-Girder Bridge using Global
Optimization Algorithmrdquo Journal of Structural Engineering (2012)138 pp273-284 12 Byungik Chang Kamal Mirtalaei Seungyeol Lee and Kenneth Leitch ldquoOptimization of Post-Tensioned Box Girder Bridges with Special
Reference to Use of High-Strength Concrete Using AASHTO LRFD Methodrdquo Advances in Civil Engineering (2012) pp8
13 IS 1343 ndash 1980 Indian Standard Code of Practice for Prestress Concrete 14 BS 5400Part 4 Code of practice for design of concrete bridges
15 Indian Railway Standard Code of practice for Plain Reinforced and Prestressed concrete for General Brige construction (Concrete Bridge
code) 16 IRC-18-2000 Prestressed Concrete (Post -tensioned concrete)
17 Research Design amp Standards Organization Indian Railways Standard Drawings
18 SS Rao Engineering Optimization Theory And Practicerdquo New age international publication
67-70
16
Authors PSukumar KSGayathri
Paper Title Semantic based Sentence Ordering Approach for Multi-Document Summarization
Abstract With the rapid growth of online information which is unstructured in nature poses a great challenge to
the text mining algorithms to retrieve useful and meaningful information in an efficient way However larger amount
of data are readily available it is very difficult to access the required information at the right time and also in the
most appropriate form Therefore a systematic approach called multi-document summarization is required to generate
a summary about particular topic The main focus of document summarization is sentence ordering and ranking The
existing system for sentence ordering deals with the measures such as chronology topical precedence and
succedence experts The main drawback of existing system is it does not address the semantic relationship between
the sentences in the summary which is necessary to create a meaningful summary The proposed system addresses
the semantic relationship between sentences in the summary using wordnet synsets This system builds an entailment
model whichinfer the logical relationship among the sentences when arranging the sentences in the summary Graph
method is used for ranking the sentences where nodes represents the sentences and the edges represents the
preference value of one sentence over another sentence The proposed system provides an efficient summary which
is considerably increases the meaningfulness of the final summary and also typically recovering the user from the
information overload problem by giving quick and efficient access to required information
Keywords Multi-document summarization sentence ordering sentence ranking semantic expert text entailment
expert
References 1 similarity measuresrsquo 10th International Conference on Data Warehousing and Knowledge Discovery 2008
2 Kogilavani P Balasubramanie (2011) lsquoSemantic summary generation from multiple documents using feature specific sentence ranking strategyrsquo Elixir Comp Sci Engg Volume 40 pp 5372-5375
3 Kogilavani P Balasubramanie (2012) lsquoUpdate Summary Generation based on Semantically Adapted Vector Space Modelrsquo International
Journal of Computer Applications (0975 ndash 8887) Vol 42 No16 4 Bollegala D Okazaki N and Ishizuka M (2010) lsquoA bottom-up approach to sentence ordering for multi-document summarizationrsquo
Information Processing and Management Vol46 No1 pp 89ndash109
5 Bollegala D Okazaki N and Ishizuka M (2012) lsquoA preference learning approach to sentence ordering for multi-document
71-76
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
summarizationrsquo Information Science pp 78-95 6 Cai X and Li W (2013) lsquoRanking Through Clustering An Integrated Approach to Multi-Document Summarizationrsquo Vol21 No7 pp
1424-1433
7 Castillo J J (2010) An approach to Recognizing Textual Entailment and TE Search Task using SVM Natural Language Processing Vol 44 pp 139-145
8 DO Seaghdha A Korhonen (2011) lsquoProbabilistic models of similarity in syntactic contextrsquo in Proceedings of the 2011 Conference on
Empirical Methods in Natural Language Processing (EMNLP-11) Edinburgh UK 9 F Xia T-Y Liu J Wang W Zhang H Li (2008) lsquoListwise approach to learning to rank theory and algorithmrsquo in ICML 2008
10 Hobbs J R (1985) lsquoOntological promiscuityrsquo Proceedings of the 23rd annual meeting on Association for Computational Linguistics
11 JJ Castillo (2011) lsquoA wordnet-based semantic approach to textual entailment and cross-lingual textual entailmentrsquo International Journal of Machine Learning and Cybernetics 2 pp 177ndash189
12 Liu Y and Liang Y (2013) A sentence semantic similarity calculating method based on segmented semantic comparison Journal of
Theoretical and Applied Information Technology Vol 48 No 1 pp 231-235 13 Miguel Angel Rios Gaona Alexander Gelbukh and Sivaji Bandyopadhyay (2011) lsquoRecognizing Textual Entailment Using a Machine
Learning Approachrsquo
14 M Lapata (2003) lsquoProbabilistic text structuring experiments with sentence orderingrsquo in Proceedings of the Annual Meeting of ACL 2003 pp 545ndash52
15 PSukumar and KSGayathri (2014) lsquoAn Effective Sentence Ordering Approach For Multi-Document Summarization Using Text
Entailmentrsquo in International Journal on Recent and Innovation Trends in Computing and Communication [IJRITCC] Vol2 Issue1 pp 144-149
16 Partha P Sivaji B and Alexander G (2011) Textual entailment using lexical and Syntactic similarity International Journal of Artificial
Intelligence amp Applications Vol 2 No 1 pp 43-58
17 Peng G He Y Tian Y Tian Y and Wen W Analysis of Sentence Ordering Based on Support Vector Machine Pacific-Asia Conference
on Knowledge Engineering and Software Engineering 2009
18 Peng G He Y Zhang W Xiong N and Tian Y A Study for Sentence Ordering Based on Grey Model IEEE Asia-Pacific Services Computing Conference 2010
19 Yogan J K and Salim N (2012) lsquoAutomatic Multi Document Summarization Approachesrsquo Journal of Computer Science Vol8 No1 pp
133ndash140
17
Authors TruptiThite SharadaCSajjan
Paper Title Palmprint Texture Analysis using 1D Log-Gabor Filter
Abstract Biometrics is the study of automated methods for recognizing a person based on his physical or
behavioral characteristic Biometric systems can be divided into two categories- identification systems and
verification systems Identification systems tell ldquowho you arerdquo and verification system tell ldquoare you the one who you
claim to berdquo Security has become a paramount concern in todayrsquos arena Hence palmprint identification plays a very
significant role to address issues of authentication This involves image acquisition preprocessing feature extraction
and pattern matching Here 1D Log-Gabor filter is used for texture analysis and feature extraction Support Vector
Machine (SVM) classifier is used in this project for pattern matching as against conventional hamming distance By
the incorporation of this SVM classifier the performance of the whole application has significantly increased duly
yielding concise accurate results
Keywords CCD SVM
References 1 D Zhang and W Shu ldquoTwo novel characteristics in palmprint verification datum point invariance and line feature matchingrdquo Pattern
Recognition vol 32 no 4 pp 691-702 1999
2 N Duta A K Jain and Kanti V Mardia Matching of Palmprint Pattern Recognition Letters vol 23 no 4 pp 477-485 2002 3 D Zhang Automated Biometrics ndash Technologies and Systems Kluwer Academic Publishers 2000
4 J You W Li and D Zhang Hierarchical pamlprint identification via multiple feature extraction Pattern Recognition vol 35 no 4 pp
847-859 2002 5 W Shu and D Zhang ldquoAutomated personal identification by palmprintrdquo Optical Engineering vol 37 no 8 pp2659-2362 1998
6 W Li and D Zhang PrimePalmprint identification by Fourier TransformPrime To appear in International Journal of Pattern Recognition and
Artificial Intelligence 2002
7 J Daugman ldquoHigh confidence visual recognition of persons by a test of statistical independencerdquo IEEE Transactions on Pattern Analysis
and Machine Intelligence vol 15 no 11 pp 1148-1161 1993 8 PS Wu and M Li ldquoPyramid edge detection based on stack filterrdquo Pattern Recognition Letters vol 18 no 4 pp 239-248 1997
9 Jain and G Healey ldquoA multiscale representation including opponent color features for texture recognitionrdquo IEEE Transactions on Image
Processingvol 7 no 1 pp 124-128 1998 10 D Dunn and WE Higgins ldquoOptimal Gabor filters for texture segmentationrdquo IEEE Transactions on Image Processing vol 4 no 4 pp
947-964 1995
11 AK Jain S Prabhakar L Hong and S Pankanti ldquoFilterbank-based fingerprint matchingrdquo IEEE Transactions on Image Processing vol 9 no 5 pp 846-859 2000
12 B Duc S Fischer and J Bigun ldquoFace authentication with Gabor information on deformable graphsrdquo IEEE Transactions on Image
Processing vol 8 no 4 pp 504- 516 1999 13 D Zhang (ed) Biometrics Resolutions for Authentication in an E-World Kluwer Academic Publishers USA 2002
77-80
18
Authors Dipika Gadriye Gopichand Khandale Rahul Nawkhare
Paper Title System for Diagnosis of Diabetic Retinopathy using Neural Network
Abstract The main cause of blindness for the working age population in western countries is Diabetic Retinopathy
- a complication of diabetes mellitus - is a severe and wide- spread eye disease Digital color fundus images are
becoming increasingly important for the diagnosis of Diabetic Retinopathy In order to facilitate and improve
diagnosis in different ways this fact opens the possibility of applying image processing techniques An algorithm
able to automatically detect the microaneurysms in fundus image captured is a necessary preprocessing step for a
correct diagnosis as microaneurysms are earliest sign of DR The key for low cost widespread screening is a system
usable by operators with little training Some methods that address this problem can be found in the literature but
they have some drawbacks like accuracy or speed The aim of this thesis is to develop and test a new method for
detecting the microaneurysms in retina images To do so preprocessing gray level 2D feature based vessel extraction
is done using neural network by using extra neurons which is evaluated on DRIVE database which is superior than
81-86
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-
rule based methods Morphological opening and image enhancement are performed to identify microaneurysms in an
image The complete algorithm is developed by using a MATLAB implementation and the diagnosis in an image can
be estimated with the better accuracy and in shorter time than previous techniques
Keywords Contrastnormalizationfundusmicroaneurysmsretinapixel classificationretina
References 1 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996
2 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal
vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656 3 J Staal M D Abragravemoff M Niemeijer M A Viergever and B v Ginneken ldquoRidge based vessel segmentation in color images of the
retinardquo IEEE Trans Med Imag vol 23 no 4 pp 501ndash509 Apr 2004 4 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
5 E Ricci and R Perfetti ldquoRetinal blood vessel segmentation using line operators and support vector classificationrdquo IEEE Trans Med Imag vol 26 no 10 pp 1357ndash1365 Oct 2007
6 G G Gardner D Keating T HWilliamson and A T Elliott ldquoAutomatic detection of diabetic retinopathy using an artificial neural
network A screening toolrdquo Br J Ophthalmol vol 80 pp 940ndash944 1996 7 C Sinthanayothin J F Boyce H L Cook and T H Williamson ldquoAutomated localisation of the optic disc fovea and retinal blood vessels
from digital colour fundus imagesrdquo Br J Ophtalmol vol 83 pp 902ndash910 1999
8 M Niemeijer J Staal B v Ginneken M Loog and M D Abramoff J Fitzpatrick and M Sonka Eds ldquoComparative study of retinal vessel segmentation methods on a new publicly available databaserdquo in SPIE Med Imag 2004 vol 5370 pp 648ndash656
9 J V B Soares J J G Leandro R M Cesar Jr H F Jelinek and M J Cree ldquoRetinal vessel segmentation using the 2D Gabor wavelet
and supervised classificationrdquo IEEE Trans Med Imag vol 25 no 9 pp 1214ndash1222 Sep 2006
19
Authors Umang Sardesai Aakash Makwana Sagar Haria
Paper Title Review Mining A New Approach using Modified NLP
Abstract The Web has become an excellent source for gathering consumer opinions There are now numerous
Web sites containing such opinions eg customer reviews of products forums discussion groups and blogs
Nowadays we get all the technical specifications of a product on the Web but what matters is what the customer
feels about or what his opinions about the product are This paper focuses on analyzing and summarizing online
customer reviews of products While analyzing we devise a new approach for NLP by assigning a latent weight to
each aspectfeature of a product After extracting the sentiment in each sentence of the review we summarize the
opinions and express it graphically This will not only help customers but also help the product manufacturers to get
an indirect customer feedback
Keywords NLP Sentiment Analysis Opinion mining Latent weight Visualization
References 1 Hu M and Liu B 2004 Mining and summarizing customer reviews KDDrsquo04 2004 2 B Liu M Hu and J Cheng Opinion observer Analyzing and comparing opinions on the web In WWW 05 pages 342351 2005
3 Hongning Wang Yue Lu Chengxiang Zhai Latent Aspect Rating Analysis on Review Text Data A Rating Regression Approach 2010
4 Bing Liu Sentiment Analysis and Subjectivity To appear in Handbook of Natural Language Processing Second Edition (editors N Indurkhya and F J Damerau) 2010
5 Bing Liu Sentiment Analysis and Opinion Mining Morgan amp Claypool Publishers May 201
87-90
- Page 1
-