issn : 2319 - 6386 website: volume-1 issue ... · dr. durgesh mishra chairman, ieee computer...
TRANSCRIPT
ISSN : 2319 - 6386ISSN : 2319 - 6386Website: www.ijisme.orgWebsite: www.ijisme.org
n E r e n g d o i n M e e rd i n n ga e c n e i c S e v i t a v o n n I f o I l n a t e n r r n u a o tJ o i l n a
Exploring Innovation
www.ijisme.org
IjISMEIjISME
Volume-1 Issue-9, August 2013Volume-1 Issue-9, August 2013
Published by: Blue Eyes Intelligence Engineering and Sciences Publication Pvt.
EXPLORING INNOVA
TION
Editor In Chief
Dr. Shiv K Sahu
Ph.D. (CSE), M.Tech. (IT, Honors), B.Tech. (IT)
Director, Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., Bhopal (M.P.), India
Dr. Shachi Sahu
Ph.D. (Chemistry), M.Sc. (Organic Chemistry)
Additional Director, Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., Bhopal(M.P.), India
Vice Editor In Chief
Dr. Vahid Nourani
Professor, Faculty of Civil Engineering, University of Tabriz, Iran
Prof. (Dr.) Anuranjan Misra
Professor & Head, Computer Science & Engineering and Information Technology & Engineering, Noida International University,
Noida (U.P.), India
Chief Advisory Board
Prof. (Dr.) Hamid Saremi
Vice Chancellor of Islamic Azad University of Iran, Quchan Branch, Quchan-Iran
Dr. Uma Shanker
Professor & Head, Department of Mathematics, CEC, Bilaspur(C.G.), India
Dr. Rama Shanker
Professor & Head, Department of Statistics, Eritrea Institute of Technology, Asmara, Eritrea
Dr. Vinita Kumari
Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., India
Dr. Kapil Kumar Bansal
Head (Research and Publication), SRM University, Gaziabad (U.P.), 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 (U.P.) India/ U.P. Technical University, India
Dr. T.C. Manjunath
Principal & Professor, HKBK College of Engg, Nagawara, Arabic College Road, Bengaluru-560045, Karnataka, India
Dr. Kosta Yogeshwar Prasad
Director, Technical Campus, Marwadi Education Foundation’s Group of Institutions, Rajkot-Morbi Highway, Gauridad, Rajkot,
Gujarat, India
Dr. Dinesh Varshney
Director of College Development Counceling, Devi Ahilya University, Indore (M.P.), Professor, School of Physics, Devi Ahilya
University, Indore (M.P.), and Regional Director, Madhya Pradesh Bhoj (Open) University, Indore (M.P.), India
Dr. P. Dananjayan
Professor, Department of Department of ECE, Pondicherry Engineering College, Pondicherry,India
Dr. Sadhana Vishwakarma
Associate Professor, Department of Engineering Chemistry, Technocrat Institute of Technology, Bhopal(M.P.), 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
Professor & Head, Department of Electrical and Electronic Engineering, Narasaraopeta Engineering College, Guntur, A.P., 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 & Communication Engineering, MANIT, Bhopal (M.P.), INDIA
Dr. C. Saravanan
Associate Professor (System Manager) & Head, Computer Center, NIT, Durgapur, W.B. India
Dr. S. Saravanan
Professor, Department of Electrical and Electronics Engineering, Muthayamal Engineering College, Resipuram, Tamilnadu, India
Dr. Amit Kumar Garg
Professor & Head, Department of Electronics and Communication Engineering, Maharishi Markandeshwar University, Mulllana,
Ambala (Haryana), India
Dr. T.C.Manjunath
Principal & 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 & Engineering, Sagar Institute of Research & Technology, Bhopal (M.P.), India
Dr. Chakunta Venkata Guru Rao
Professor, Department of Computer Science & Engineering, SR Engineering College, Ananthasagar, Warangal, Andhra Pradesh, India
Dr. Anuranjan Misra
Professor, Department of Computer Science & 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 & Dean, Department of Electronics & 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 – B Crystal Gold, Vijalpore Road, Navsari 396445, Gujarat. India
Technical Advisory Board
Dr. Mohd. Husain
Director MG Institute of Management & Technology, Banthara, Lucknow (U.P.), India
Dr. T. Jayanthy
Principal, Panimalar Institute of Technology, Chennai (TN), India
Dr. Umesh A.S.
Director, Technocrats Institute of Technology & Science, Bhopal(M.P.), India
Dr. B. Kanagasabapathi
Infosys Labs, Infosys Limited, Center for Advance Modeling and Simulation, Infosys Labs, Infosys Limited, Electronics City,
Bangalore, India
Dr. C.B. Gupta
Professor, Department of Mathematics, Birla Institute of Technology & Sciences, Pilani (Rajasthan), India
Dr. Sunandan Bhunia
Associate Professor & Head,, Dept. of Electronics & Communication Engineering, Haldia Institute of Technology, Haldia, West
Bengal, India
Dr. Jaydeb Bhaumik
Associate Professor, Dept. of Electronics & 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 & 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 & Head, Department of Communication Skils, Technocrat Institute of Technology, Bhopal(M.P.), India
Dr. Ashish Rastogi
Associate Professor, Department of CSIT, Guru Ghansi Das University, Bilaspur (C.G.), 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 (C.G.), 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 & Dean (R&D), Acropolis
Institute of Technology, Indore (M.P.), 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 Systems,Delaware Valley College, Doylestown, PA, Allman
China
Dr. Mohd. Ali Hussain
Professor, Department of Computer Science and Engineering, Sri Sai Madhavi Institute of Science & Technology, Rajahmundry
(A.P.), 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, Avanthi's Research & 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 Professor & 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, (U.P.), India
Dr. Shaikh Abdul Hannan
Associate Professor, Department of Computer Science, Vivekanand Arts Sardar Dalipsing Arts and Science College, Aurangabad
(Maharashtra), India
Dr. K.M. Pandey
Professor, Department of Mechanical Engineering,National Institute of Technology, Silchar, India
Prof. Pranav Parashar
Technical Advisor, International Journal of Soft Computing and Engineering (IJSCE), Bhopal (M.P.), India
Dr. Biswajit Chakraborty
MECON Limited, Research and Development Division (A Govt. of India Enterprise), Ranchi-834002, Jharkhand, India
Dr. D.V. Ashoka
Professor & Head, Department of Information Science & Engineering, SJB Institute of Technology, Kengeri, Bangalore, India
Dr. Sasidhar Babu Suvanam
Professor & Academic Cordinator, Department of Computer Science & Engineering, Sree Narayana Gurukulam College of
Engineering, Kadayiuruppu, Kolenchery, Kerala, India
Dr. C. Venkatesh
Professor & Dean, Faculty of Engineering, EBET Group of Institutions, Kangayam, Erode, Caimbatore (Tamil Nadu), India
Dr. Nilay Khare
Assoc. Professor & Head, Department of Computer Science, MANIT, Bhopal (M.P.), India
Dr. Sandra De Iaco
Professor, Dip.to Di Scienze Dell’Economia-Sez. Matematico-Statistica, Italy
Dr. Yaduvir Singh
Associate Professor, Department of Computer Science & Engineering, Ideal Institute of Technology, Govindpuram Ghaziabad,
Lucknow (U.P.), 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 & Communication Engineering, Faculty of Engineering and Technology,Graphic Era
University, Dehradun (U.K.), India
Dr. Yash Pal Singh
Professor, Department of Electronics & Communication Engg, Director, KLS Institute Of Engg.& Technology, Director, KLSIET,
Chandok, Bijnor, (U.P.), India
Dr. Ashish Jain
Associate Professor, Department of Computer Science & Engineering, Accurate Institute of Management & Technology, Gr. Noida
(U.P.), India
Dr. Abhay Saxena
Associate Professor & Head, Department of Computer Science, Dev Sanskriti University, Haridwar, Uttrakhand, India
Dr. Judy. M.V
Associate Professor, Head of the Department CS &IT, 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 & Telecommunication Engineering, Jawaharlal Darda Institute of Engineering & Technology,
Yavatmal, Maharastra, India
Dr. K.K. Thyagharajan
Principal & Professor, Department of Informational Technology, RMK College of Engineering & Technology, RSM Nagar,
Thiruyallur, Tamil Nadu, India
Dr. P. Subashini
Assoc. Professor, Department of Computer Science, Coimbatore, India
Dr. G. Srinivasrao
Professor, Department of Mechanical Engineering, RVR & JC, College of Engineering, Chowdavaram, Guntur, India
Dr. Rajesh Verma
Professor, Department of Computer Science & Engg. and Deptt. of Information Technology, Kurukshetra Institute of Technology &
Management, Bhor Sadian, Pehowa, Kurukshetra (Haryana), India
Dr. Pawan Kumar Shukla
Associate Professor, Satya College of Engineering & 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
Prof. & Head, Department of Computer Science and Informatics, MBS MArg, Near Kabir Circle, University of Kota, Rajasthan, India
Dr. Aashis. S. Roy
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,
(M.P.), India
Dr. S. Senthil Kumar
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. R. Navaneetha krishnan
Associate Professor, Department of MCA, Bharathiyar College of Engg & 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 & Telecommunication, Orissa Engineering College , Bhubaneswar,Odisha, 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 & Mineral Processing, Midas Tech International, 30 Mukin Street, Jindalee-4074,
Queensland, Australia
Dr. Neelam Ruhil
Professor, Department of Electronics & 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 & 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 Park,Greater Noida,
India
Dr. M. Chithirai Pon Selvan
Associate Professor, Department of Mechanical Engineering, School of Engineering & Information Technology Manipal University,
Dubai, UAE
Dr. S. Sambhu Prasad
Professor & Principal, Department of Mechanical Engineering, Pragati College of Engineering, Andhra Pradesh, India.
Dr. Muhammad Attique Khan Shahid
Professor of Physics & Chairman, Department of Physics, Advisor (SAAP) at Government Post Graduate College of Science,
Faisalabad.
Dr. Kuldeep Pareta
Professor & Head, Department of Remote Sensing/GIS & 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
Director/Principal, Somany (P.G.) Institute of Technology & 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.
Managing Editor
Mr. Jitendra Kumar Sen
International Journal of Innovative Science and Modern Engineering (IJISME)
Editorial Board
Dr. Saeed Balochian
Associate Professor, Gonaabad Branch, Islamic Azad University, Gonabad, Iratan
Dr. Mongey Ram
Associate Professor, Department of Mathematics, Graphics Era University, Dehradun, India
Dr. Arupratan Santra
Sr. Project Manager, Infosys Technologies Ltd, Hyderabad (A.P.)-500005, India
Dr. Ashish Jolly
Dean, Department of Computer Applications, Guru Nanak Khalsa Institute & Management Studies, Yamuna Nagar (Haryana), India
Dr. Israel Gonzalez Carrasco
Associate Professor, Department of Computer Science, Universidad Carlos III de Madrid, Leganes, Madrid, Spain
Dr. Guoxiang Liu
Member of IEEE, University of North Dakota, Grand Froks, N.D., USA
Dr. Khushali Menaria
Associate Professor, Department of Bio-Informatics, Maulana Azad National Institute of Technology (MANIT), Bhopal (M.P.), India
Dr. R. Sukumar
Professor, Sethu Institute of Technology, Pulloor, Kariapatti, Virudhunagar, Tamilnadu, India
Dr. Cherouat Abel
Professor, University of Technology of Troyes, France
Dr. Rinkle Aggrawal
Associate Professor, Department of Computer Science and Engineering, Thapar University, Patiala (Punjab), India
Dr. Parteek Bhatia
Associate Professor, Deprtment of Computer Science & Engineering, Thapar University, Patiala (Punjab), India
Dr. Manish Srivastava
Professor & Head, Computer Science and Engineering, Guru Ghasidas Central University, Bilaspur (C.G.), India
Dr. B. P. Ladgaonkar
Assoc. Professor&Head, Department of Electronics, Shankarrao Mohite Mahavidyalaya, Akluj, Maharashtra, India
Dr. E. Mohan
Professor & Head, Department of Computer Science and Engineering, Pallavan College of Engineering, Kanchipuram,Tamilnadu,
India
Dr. M. Shanmuga Ptriya
Assoc. Professor, Department of Biotechnology, MVJ College of Engineering, Bangalore Karnataka, India
Dr. Leena Jain
Assoc. Professor & Head, Dept. of Computer Applications, Global Institute of Management & Emerging Technologies, Amritsar,
India
Dr. S.S.S.V Gopala Raju
Professor, Department of Civil Engineering, GITAM School of Technology, GITAM, University, Hyderabad, Andhra Pradesh, India
Dr. Ani Grubisic
Department of Computer Science, Teslina 12, 21000 split, Croatia
Dr. Ashish Paul
Associate Professor, Department of Basic Sciences (Mathematics), Assam Don Bosco University, Guwahati, India
Dr. Sivakumar Durairaj
Professor, Department of Civil Engineering, Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Avadi, Chennai
Tamil Nadu, India
Dr. Rashmi Nigam
Associate Professor, Department of Applied Mathematics, UTI, RGPV, Airport Road, Bhopal, (M.P.), India
Dr. Mu-Song Chen
Associate Professor, Department of Electrical Engineering, Da-Yeh University, Rd., Dacun, Changhua 51591, Taiwan R.O.C.,
Taiwan, Republic of China
Dr. Ramesh S
Associate Professor, Department of Electronics & Communication Engineering, Dr. Ambedkar Institute of Technology, Bangalore,
India
Dr. Nor Hayati Abdul Hamid
Associate Professor, Department of Civil Engineering, Universiti Teknologi Mara, Selangor, Malaysia
Dr. C.Nagarajan
Professor & Head, Department of Electrical & Electronic Engineering Muthayammal Engineering College,Rasipuram,Tamilnadu,
India
Dr. Ilaria Cacciotti
Department of Industrial Engineering, University of Rome Tor Vergata Via del Politecnico Rome-Italy
Dr. V.Balaji
Principal Cum Professor, Department of EEE &E&I, Lord Ayyappa Institute of Engg & Tech,Uthukadu, Walajabad, Kanchipuram,
Tamil Nadu, India
Dr. G. Anjan Babu
Assoc. Professor, Department of Computer Science, S V University, Tirupati, Andhra Pradesh, India
Dr. Damodar Reddy Edla
Assoc. Professor, Department of Computer Science & Engineering, National Institute of Technology, Goa, India
Dr. D.Arumuga Perumal
Professor, Department of Mechanical Engg, Noorul Islam University, Kanyakumari (Dist), Tamilnadu, India
Dr. Roshdy A. AbdelRassoul
Professor, Department of Electronics and Communications Engineering, Arab Academy for Science and Technology, Electronics and
Communications Engineering Dept., POBox 1029, Abu-Qir, Alexandria, Egypt
Dr. Aniruddha Bhattacharya
Assoc. Professor & Head, Department of Computer Science & Engineering, Amrita School of Engineering, Bangalore, India
Dr. P Venkateswara Rao
Professor, Department of Mechanical Engineering, KITS, Warangal, Andhra Pradesh, India
Dr. V.Mahalakshmi M.L
Assoc. Professor & Head, Institute of Management Studies, Chennai CID Quarters, V.K.Iyer Road, Mandaveli, Chennai
S.
No
Volume-1 Issue-9, August 2013, ISSN: 2319–6386 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.
Page No.
1.
Authors: Abayomi O. Ibiyemi, Martins T. A. Adenipekun
Paper Title: Self Study Approach to Self Discovery and Motivational Training for Real Estate
Professionals in Nigeria
Abstract: Entrepreneurship is a key factor in the production of goods and services. This paper reviews
the theoretical, empirical, and the conceptual approaches to determining the significance of
entrepreneurship to national economic growth and empowerment, and also draws evidence from China,
Thailand, Singapore, India and Korea to support these approaches. It provides a sample of a Self-
Discovery Exercise to Real Estate Professionals (REPs) based on ranking of 12 motivators in order of
their importance from 1st to 12th in comparison with standard rankings. It concludes that
entrepreneurship is significant to national economic empowerment and development and that REPs can
add value in their various areas of professional practice and become players in the international real
estate markets. The paper recommends sincere and regular self-discovery based on the standardised
scheme for motivational training exercise, and that Governments at all levels synergise efforts towards
improving entrepreneurial framework conditions by increasing access to finance, facilitate entry and
exit, and create Government support programmes.
Keywords: Entrepreneurship, Real Estate Professionals, Self-Discovery Exercise, Economic Growth
and Empowerment.
References: 1. Audretsch, David B., and Roy Thurik (2001). Linking Entrepreneurship to Growth. Paris: OECD Directorate for Science,
Technology and Industry Working Papers. 2. Barreto, Humberto (1989). The Entrepreneur in Microeconomic Theory: Disappearance and Explanation. London:
Routledge.
3. Baumol, William J. (1990). Entrepreneurship: Productive, unproductive and destructive. Journal of Business Venturing 11: 3–22.
4. Carree, M., and A. Roy Thurik (1998). Small firms and economic growth in Europe.
5. Atlantic Economic Journal 26 (2): 137 –146.
6. Carree, M., and A. Roy Thurik (2002). The Impact of Entrepreneurship on Economic Growth. In Zoltan Acs and David B.
Audretsch (2003), International Handbook of Entrepreneurship Research, Boston/Dordrecht: Kluwer Academic
Publishers. 7. Cecora, James, Cultivating Grass-Roots for Regional Development in a Globalizing Economy: Innovation and
Entrepreneurship in Organized Markets, Aldershot: Ashgate, 1999
8. Dejardin, Marcus (2000). Entrepreneurship and Economic Growth: An Obvious Conjunction? 9. Namur, Belgium: University of Namur.
10. Friijs, Christian, Thomas Pa ulsson and Charlie Karlsson (2002). Entrepreneurship and Economic Growth: A Critical
Review of Empirical and Theoretical Research.Östersund, Sweden: Institutet för tillväxtpolitiska studier. 11. Ibiyemi, Abayomi (2012). Relating Entrepreneurship to Economic Development. Paper delivered at the Entrepreneurship
Educators Training Workshop on the 18th of April, 2012. Held at Engineering Lecture Theatre, LASPOTECH, Ikorodu,
Lago, Nigeria 12. Jääskeläinen, Miko (2000). Entrepreneurship and Economic Growth. Helsinki: Institute of Strategy and International
Business.
13. Nickell, Stephen J. (1996). Competition and corporate performance. Journal of Political Economy 104 (4): 724–746. 14. Nickell, Stephen J., Daphne Nicolitsas and Neil Dryden (1997). What makes firms perform well? European Economic
Review 41: 783–796.
15. Organisation for Economic Co-operation and Development (OECD) (1998). Fostering Entrepreneurship. Paris: OECD.
16. Organisation for Economic Co-operation and Development (OECD) (2002). Benchmarking :Fostering Firms Creation and
Entrepreneurship. Paris: OECD
17. Pirich, Amir (2001). An interface between entrepreneurship and innovation: New Zealand SMEs perspective. Paper prepared for the 2001 DRUID Conference, Aalborg, Denmark.
18. Porter, Michael E. (1990). The Competitive Advantage of Nations. New York: Free Press.
19. Reynolds, Paul D., William D. Bygrave, Erkko Autio, Larry W. Cox and Michael Hay (2000). Global Entrepreneurship Monitor 2000 Executive Report. Wellesley, MA/London: Babson College/London Business School.
20. Reynolds, Paul D., William D. Bygrave, Erkko Autio, Larry W. Cox and Michael Hay (2002). Global Entrepreneurship
Monitor 2002 Executive Report. Wellesley, MA/London: Babson College/London Business School. 21. Schmitz, James A. (1989). Imitation, entrepreneurship and long-run growth. Journalof Political Economy 97 (3): 721–739.
22. Schumpeter, Joseph A. (1911). The Theory of Economic Development: An Inquiryinto Profits, Capital, Credit, Interest and
the Business Cycle. 1934 translation. Cambridge, MA: Harvard University Press. 23. Schumpeter, Joseph A. (1942). Capitalism, Socialism, and Democracy. 3rd ed. New York: Harper and Bros., 1950.
24. Thurik, Roy, and Sander Wennekers (2001). A Note on Entrepreneurship, Small Business and Economic Growth. Rotterdam: Erasmus Research Institute of Management Report Series.
25. United Nations Millennium Project (2005). Innovation: Applying knowledge in development.UK and USA: Earthscan
26. Wennekers, Sander, and Roy Thurik (1999). Linking entrepreneurship and economic growth. Small Business Economics
13: 27–55.
1-7
Authors: Amruta G. Whatte, S. S. Jamkar
Paper Title: Comparative Study of Design of Steel Structural Elements by using IS 800:2007, AISC 13th
Edition and BS: 5950, 1:2000
Abstract: The task of the structural engineer is to design a structure which satisfies the needs of the
client and the user. Specifically the structure should be safe, economical to build and maintain, and
aesthetically pleasing. By considering the above needs of user this study gives the comparative design
of structural element by using three different International Design Codes.Structural Elements such as
tension member, compression member, flexural member, beam column, gusseted base, and beam
2.
column connection are designed for this comparative study. Same data is considered for the design of
particular element and that element is designed by using Indian Standard (IS 800:2007), American
Standard (AISC 13th Edition) and British Standard (BS 5950, 1:2000). The design methodology used
in this study is same for all the codes but there are some differences in the constants or parameters
depending on the code used. Finally the results are evaluated and compared in the tabular format.
Keywords: IS 800:2007, AISC 13th edition, BS 5950 1:2000, LRFD, and ASD.
References: 1. Danny J. Yong, AitziberLópez and Miguel A. Serna , “A comparative Study of AISC-LRFD and EC3 approaches to beam-
column buckling resistance”, Tecnun – University of Navarra, Spain ,║6 September 2006. 2. Prof. Ravindra Bhimarao Kulkarni, Rohan Shrikant Jirage, “Comparative Study of Steel Angles as Tension Members
Designed by Working Stress Method and Limit State Method”, International Journal of Scientific & Engineering Research
Volume 2, Issue 11, November-2011. 3. Prof. RavindraBhimaraokulkarni, VikasArjunPatil, “Design Aids of Flexural Members and Beam-Columns Based on Limit
State Method”, International Journal of Scientific & Engineering Research Volume 2, Issue 10, ║Oct-2011.
4. Abbas Aminmansour, “A New Approach for Design of Steel Beam-Columns”, Engineering Journal/Second Quarter ║2000.
5. M E Brettle BEng (Hons), “Steel Building Design: Worked Examples - Open Sections In accordance with Eurocodes and
the UK National Annexes”, The Steel Construction Institute Silwood Park, Ascot, Berkshire SL5 7QN, ║18 September
2012
6. Richard M. Drake and Sharon J. Elkin, “Beam-Column Base Plate Design-LRFD Method”, Engineering Journal║ First
Quarter ║1999. 7. M Krishnamoorthy, “Design of Compression Member based on IS 800: 2007 and IS 800:1984 comparisons”, Journal of
Information, Knowledge and Research in Civil Engineering, ISSN: 0975 – 6744║NOV 11 TO OCT 12 ║Volume 2, Issue
1 8. Bureau Indian Standard, General Construction in steel – Code of Practice, IS 800:2007 ║3rd Revision║ New Delhi
║December 2007.
9. American Institute of steel Construction, 13th edition ║United State of America ║ December 2005 . 10. Part 1: Code of practice for design - Rolled and welded sections║ BS 5950-1:2000║ British Standard ║ BSI 05-2001.
11. Design Examples , Version 13.1║AISC , USA, May 2010.
12. T. Bat Quimby, “A Beginner’s guide to the Steel Construction Manual”,║University of Alaska Anchorage ║August 2008. 13. Chan Chee Han, “ Comparison between BS 5950: Part 1:2000 and Eurocode 3 for the design of multi-story braced steel
frame” ║UniversitiTeknologi Malaysia ║November 2006.
14. Perry Green, Thomas Sputo, “Design of all bolted extended angle, single angle, and tee shear connection”,║ University of Florida,║AISC║ January 2005.
15. “Steel Building Design: Design Data, ║The Steel Construction Institute, Tata Steel, The British Construction Steelwork
Association Ltd. 16. “ Eurocode 3: Design of Steel Structure” – Part 1-1 : General rules and rules for building,║ BS EN 1993-1-1:2005
║February 2006 and April 2009.
17. “Steelwork Design Guide to BS 5950-1:2000(Blue Book),Volume ,7th Edition,║The steel Construction Institute and The British Constructional Steelwork Association Limited.
18. Prof. S.R. Satish Kumar and Prof. A.R. Santha Kumar, “Design of Steel Structure”.IIT Madras
19. Prof. Dr. A. Verma, “Design of Steel Structure”, CE 405. 20. S.K. Duggal, “ Design of Steel Structure as per IS 800: 2007”.
21. Design Examples , Version 14.1║AISC , USA, October 2011.
22. Prof. ChanakyaArya, “Design of Structural Elements”, 3rd Edition, designs to British Standards and Eurocodes. 23. Redbook, Handbook of Structural of Steelwork, 4th Eidition,The Steel Construction Institute silwood Park, Ascot,
berkshrie, SL5 7QN.-
24. Steel Sectional Table.
8-12
3.
Authors: Pravin W. Raut, S. L. Badjate
Paper Title: FPGA Based Design & Implementation of Alamouti MIMO Encoder for Wireless
Transmitter
Abstract: This paper address the Design and implementation of Alamouti Transmit Diversity Scheme
using FPGA for Multi-Input-Multi-Output (MIMO) wireless communication transmitter. The task of
the FPGA based MIMO Encoder is to process two digital signals (S1 & S1) having real(q) and
Imaginary (i) parts, are being transmitted using two transmitting antennas by employing Alamouti
transmitting scheme in VHDL. The FPGA devices of the Xilinx family are used to report the results.
The performance is checked for optimized device resource utilization, data link for two symbol period.
The role of MIMO Encoder/transmitter to handle the traffic of multiuser though multiple channels, to
ensure the quality signals at the receiver even in failure of any channel.
Keywords: FPGA, MIMO Encoder, Transmitter, MIMO Decoder, Receiver, antenna, Signal to Noise
Ratio (SNR), OFDM.
References: 1. G. J. Foschini, and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple
antennas,” Wireless Pers. Commun., vol. 6, pp.311–335, Mar. 1998. 2. MIMO: The next revolution in wireless data communications By Babak Daneshrad
3. V. Jungnickel, V. Pohl, and C. von Helmolt, “Capacity of MIMO systems with closely spaced antennas,” IEEE
Communications Letters, vol. 7, no. 8, pp. 361–363, Aug. 2003. 4. Siavash M. Alamouti. A Simple Transmit Diversity Technique for Wireless Communications. IEEE Journal on Select
Areas in Communcations, 16(8):1451–1458,October 1998.
5. David Gesbert, Mansoor Shafi, Da-shan Shiu, Peter J. Smith, and Ayman Naguib.From theory to practice: An overview of mimo space-time coded wireless systems.IEEE Journal on Selected Areas in Communications, 21(3):281–302, 2003.
6. MIMO: from Theory to Reality , Ruifeng Wang July 2009 Peter J. Smith, Member, IEEE, and Ayman Naguib, Senior
Member, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 21, NO. 3, APRIL 2003 7. Raleigh, G.G. and Cioffi, J.M. . Spatio-temporal coding for wireless communications. IEEE Transactions on
13-16
Communications, 46(3):357–366, 1998. 8. An FPGA-Based MIMO and Space-Time Processing Platform -J. Dowle,1 S. H. Kuo,2 K. Mehrotra,1 and I.
V.McLoughlin1
9. VLSI Design Volume 2008, Article ID 312614. This work has been supported by European FP6 IST 2002 507039 Project 4 MORE and by the Spanish Ministry of Science and Technology under Project TEC2006-13067-C03-03 from IEEE site
10. From Theory to Practice: An Overview of MIMO Space–Time Coded Wireless Systems David Gesbert, Member, IEEE,
Mansoor Shafi, Fellow, IEEE, Da-shan Shiu, Member, IEEE, 11. MIMO-OFDM Decoding: From Theory to Practice, 1E. R. de Lima, 2K.Iguchi, 3F.Angarita,3M.J. Canet, 3J.Valls,
1V.Almenar and 1 S. J. Flores Technical University of Valencia, Spain
12. From Theory to Practice: An Overview of MIMO Space–Time Coded Wireless Systems David Gesbert, Member, IEEE, Mansoor Shafi, Fellow, IEEE, Da-shan Shiu, Member, IEEE, Peter J. Smith, Member, IEEE, and Ayman Naguib, Senior
Member, IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 21, NO. 3, APRIL 2003
13. Implementation of Synchronization for 2×2 MIMO WLAN System, Hsin-Lei Lin, Robert C. Chang, Member, IEEE, Kuang-Hao Lin, Chia-Chen Hsu, IEEE Transactions on Consumer Electronics, Vol. 52, No. 3, AUGUST 2006
14. G. J. Foschini, “Layered space–time architecture for wireless communication in a fading environment when using
multielement antennas,” Bell Labs Tech. J., pp. 41–59, Autumn 1996. 15. V. Jungnickel, V. Pohl, and C. von Helmolt, “Capacity of MIMO systems with closely spaced antennas,” IEEE
Communications Letters, vol. 7, no. 8, pp. 361–363, Aug. 2003.
16. W. Y. Ge, J. S. Zhang and G. L. Xue, “MIMO-Pipe Modeling and Scheduling for Efficient Interference Management in Multihop MIMO Networks,” IEEE Transactions on Vehicular Technology, vol. 59, no. 8, pp.3966-3978, 2010.
17. C. N. Chuah, D. Tse, J. M. Kahn, and R.Valenzuela, “Capacity scaling in MIMO wireless systems under correlated
fading,” IEEE Trans. Inform. Theory, vol. 48, pp. 637–650, Mar. 2002.
18. P. J. Smith and M. Shafi, “On a Gaussian approximation to the capacity of wireless MIMO systems,” in Proc. Int. Conf.
Communications, ICC 2002, 2002, pp. 406–410.
19. “A standardized set of MIMO radio propagation channels,” Lucent,Nokia, Siemens, Ericsson, Jeju, Korea, 3GPP TSG-RAN WG1 23, Nov.19–23, 2001.
20. L. Hanlen and M. Fu, “Multiple antenna wireless communication systems: Capacity limits for sparse scattering,” in Proc.
3rd Australian Communication Theory Workshop, Aus CTW 2002, Canberra, Australia,2002. 21. Jack Winters "Optimum Combining in Digital Mobile Radio with Cochannel Interference," Special Issue on Mobile Radio
Communications IEEE Journal on Selected Areas in Communications, July 1984, IEEE Trans. on Vehicular Technology,
August 1984.
4.
Authors: Asawari Dudwadkar, Y. S. Rao
Paper Title: Contributions to Optimization of Functioning Of Induction Heating System Using Simulink
Abstract: This paper presents complete modeling of induction heating system comprising (Rectifier
Filter, Inverter, Digital PLL control block and work coil) for high frequency around 100 KHz and high
Power around 100Kwatt applications. The Modeling is done using Simulink & results at all the stages
are presented.
Keywords: PLL.
References: 1. N.S. Baytndtr, 0. Kukrer and M. Yakup, “DSP-based PLL-controlled 50-1 00 kHz 20 kW high frequency induction heating
system for surface hardening and welding applications.” IEEE Proc-Electr. Power Appl., Vol. 150, No. 3, May 2003 2. Xiaorong Zhu, Yonglong Peng, Xinchun Shi, Heming Li “200kW/400kHz High Frequency Inverter For Induction Heating
application”,School of electrical engineering,North China Electrical Power University ,BaoDing, China
3. www.ijcee.org/papers/279-E748.pdf www.mathworks.in -Basics of analog PLL and its implementation in Simulink, implementation of single phase full bridge inverter in Simulink, how to use Simulink, how to use ‘powerlib’ library,
Simulink guide
4. www.inductionatmospheres.com/industry.html
17-19
5.
Authors: S. V. D. Prasad, V. Krishnanaik, K. R. Babu
Paper Title: Analysis of Organic Photovoltaic Cell
Abstract: In this paper analysis of photo voltaic (PV) electricity is one of the best options for most
impartment and ecological future energy requirements of the world. Organic photovoltaic (OPV) cells
are hopeful views for common renewable energy unpaid to light weight, low cost, and flexibility. But,
presently the best total power conversion efficiency of OPV cell is round 8.3% that is very low. The
research paper focuses, the basic design, the recent progresses in organic materials, processing
technique and operation of organic photovoltaic cells as well as crucial feature of their performance are
reviewed. To achieve significantly higher efficiency future development that need to be addressed are
discussed to this article.
Keywords: Efficiency, Cost effective, Molecular Materials, OPV-Organic Photovoltaic cell,
Temperature Effect, Processing Technique.
References: 1. Cheng, Y.J.; Yang, S.H.; Hsu, C.S. Synthesis of conjugated polymers for organic solar cell applications. Chem. Rev. 2009,
109, 5868-5923.
2. Rivers N.P.Leading edge research in solar energy,(2007). 3. Tom J. Savinije, DelftChemTech, Organic solar cells, Faculty of Applied Sciences Delft University of Technology.
4. Pulfry L.D., Photovoltaic Power Generation,(New York : Van Nostrand Reinhold Co., 1978).
5. Lungenschmied, C.; Dennler, G.; Neugebauer, H.; Sariciftci, S.N.; Glatthaar, M.; Meyer, T.; Meyer, A. Flexible, long-lived, large-area, organic solar cells. Sol. Energy Mater. Sol. Cells 2007,91,379-384.
6. Green, M. A., Emery, K., Hishikawa, Y. and Warta, W. (2010), Solar cell efficiency tables (version 36). Progress in
Photovoltaics: Research and Applications, 18: 346–352. doi: 10.1002/pip.1021 7. Kim, M.-S.; Kang, M.-G.; Guo, L.J.; Kim, J. Choice of electrode geometry for accurate measurement of organic
photovoltaic cell performance. Appl. Phys. Lett. 2008, 92, 133301.
8. Gregg, B.A., The photoconversion mechanism of excitonic solar cells. Mrs Bulletin,2005. 30(1): p. 20-22.
20-23
9. Kim, M.-S.; Kang, M.-G.; Guo, L.J.; Kim, J ,Understanding Organic Photovoltaic Cells: Electrode, Nanostructure, Reliability, and Performance..2009.
10. X. Yang et al., Nanoletters 5, 579 (2005).
11. Darren Quick, World record efficiency for organic based photovoltaic solar cells, 22:14 December 5, 2010. 12. D. Chirvase, Z. Chiguvare,a) M. Knipper, J. Parisi, V. Dyakonov,b) and J. C. Hummelenc,”Temperature dependent
characteristics of poly.3 hexylthiophene.-fullerene” .Journal of applied physics ,volume 93 number 6, 15 March 2003.
13. Dramatically Extending Lifetime Of Organic Solar Cells, Science Daily (Oct. 15, 2008) 14. Chaitanya S, Low cost solar energy: thanks to organic solar cells, April 12, 2009.
6.
Authors: M. S. M. Aras, M. F. Basar, S. S. Abdullah, F. A. Azis, F. A. Ali
Paper Title: Obstacle Avoidance System for Unmanned Underwater Vehicle Using Fin System
Abstract: An underwater glider is a type of an unmanned underwater vehicle (UUV). The movement
of an underwater glider in the water is based on the buoyancy-propelled for float and fixed-winged for
stabilizing the glider’s body. However, a fixed wing underwater glider has limitation to avoid hitting
the obstacle in front of it. To overcome this problem, the application of fin system in underwater glider
is needed. In this project, a methodology was introduced which is design a flexible fin system of an
underwater glider for obstacle avoidance purpose. This final year project mainly focused on
SolidWorks’s simulation and analysis of -30°, -45°, -60° for submerge and rise up at 30°, 45°, 60° to
get the most suitable angle for the glider’s fin system to submerge and rise up. The UTeM underwater
glider is modified from fixed to flexible wing. Hence, Peripheral Interface Controller (PIC) is used to
program the movement of the glider’s wings for upward at 45°and downward at -45°in the water. Thus,
a flexible fin system for obstacle avoidance is designed and applied in UTeM underwater glider.
Keywords: Underwater glider, fin system, obstacle avoidance.
References: 1. Wood Hole, The Slocum Mission Henry Stomel, Woods Hole Oceangrafic institution, 1989. 2. Eric O.Roger, Weston S.Smith, Gerald F. Denny and Paul J.Farley. An Underwater Acoustic Glider. IEEE HOES
Autonomous Underwater Vehicles, pp 2241-2244, 2004.
3. M.S.M Aras, H.A. Kasdirin, M.H. Jamaluddin, M F. Basar, Design and Development of an Autonomous Underwater Vehicle (AUV-FKEUTeM), Proceedings of MUCEET2009 Malaysian Technical Universities Conference on Engineering
and Technology, MUCEET2009, MS Garden, Kuantan, Pahang, Malaysia, 2009.
4. MSM Aras, FA Azis, MN Othman, SS Abdullah,A Low Cost 4 DOF Remotely Operated Underwater Vehicle Integrated With IMU and Pressure Sensor, 4th International Conference on Underwater System Technology: Theory and Applications
(USYS'12). Malaysia, 2012.
5. Teledyne Webb Resarch (TWR) designs and manufactures scienticfic instruments for oceanographic research and monitoring, http://www.webbresearch.com.
6. M. F. Basar, A. Ahmad, N. Hasim and K. Sopian, “Introduction to the Pico Hydropower and the status of implementation
in Malaysia,” IEEE Student Conference on Research and Development (SCOReD), pp. 283-288, ISBN: 978-1-4673-0099-5, Cyberjaya, Malaysia, 19-20 December 2011.
7. M. F. Basar, A.A. Rahman, Z Mahmod, “Design and Development of Green Electricity Generation System Using Ocean
Surface Wave,” PEA-AIT International Conference on Energy and Sustainable Development : Issues and Strategies (ESD 2010), pp. 1-11, ISBN: 978-1-4244-8563-5, Chiang Mai, Thailand, 02-04 June 2010.
8. Daniel L. Rudnick, Russ E. Davis, Scripps Institution of Oceanography, Charles C. Eriksen, University of Washington,
David M. Fratantoni Woods Hole, Oceanographic Institution, Mary Jane Perry, Darling Marine Center, Universityof Maine PA P E R Underwater Gliders for Ocean Research, pp48-59.
9. Yen-Sheng Chen and Jih-Gau Juang. Intelligent Obstacle Avoidance Control Strategy for Wheeled Mobile Robot. ICROS-
SICE International Joint Conference, 2009. 10. Yi Jincong, Zhang Xiuping, Ning Zhengyuan, Huang Quanzhen. Intelligent Robot Obstacle Avoidance System Based on
Fuzzy Control. The 1st International Conference on Information Science and Engineering ,2009 11. Z.Huanyin, L.Jinsheng, L.Gangyong and W.Xiong. The Analysis of Fish Body for Automatic Underwater Vehicle
Movement. IEEE Journal East China Institute of Technology, Fuzhou Jiangxi, China. pp 699-701, 2009
12. Ikuo Yamamoto, Yuuzi Terada, Tetuo Nagamatu, and Yoshiteru Imaizumi, Propulsion System with Flexible Rigid Oscillating Fin, IEEE Journal Of Oceanic Engineering, Vol 20, pp 23-30, 1995.
13. Mark W. Westneat, Dean H, Thorsen, Jeffrey A. Walker, and Melina E.Hale. Structure, Function, and Neural Control of
Pectoral Fins in Fishes. IEEE Journal of Oceanic Engineering, Vol. 29, pp 674-683, 2004 14. M.F. Basar and A. Rahman, “Investigation the Performance of Green Electricity Generation System Using Ocean Surface
Wave for Small Scale Application”, Journal of Enginering Technology, 1(2), pp 34-46, 2011.
15. Yong-Jai Park, Useok Jeong, Jeongsu Lee, Seok-Ryung Kwon, Ho-Young Kim, and Kyu-Jin Cho, Kinematic Condition for Maximizing the Thrust of a Robotic Fish Using a Compliant Caudal Fin, IEEE Transactions on Robotic, Vol.28, pp
1216-2227, 2012
16. Yamamoto, I., Aoki, T., Tsukioka, S., Yoshida, H., Hyakudome, T., Sawa, T.,Ishibashi, S., Inada, T., Yokoyama, K., Maeda, T., et al., “Fuel Cell System ofAUV „Urashima,” IEEE Oceans/Techno-ocean, Vol 1732-1377, 2004.
17. W.Yijun, W.Yanhui and HeZhigang. Buoyancy Compensation Analysis of an Autonomous Underwater Glider. IEEE
International Conference on Electronic & Mechanical Engineering and Information Technology, 2011. 18. M.F.M. Basar, M.H. Jamaluddin, H. Zainuddin, A. Jidin and M.S.M. Aras, “Design and Development of a Small Scale
System for Harvesting the Lightning Stroke Using the Impulse Voltage Generator at HV Lab, UTeM”, 2010 The 2nd
International Conference on Computer and Automation Engineering (ICCAE), pp. 161-165, ISBN: 978-1-4244-5585-0, Singapore, 26-28 February 2010.
19. Cytron Technologies Sdn. Bhd. http://www.cytron.com.my
24-30
Authors: S. Roy Chatterjee, R. Mandal, M. Chakraborty
Paper Title: A Comparative Analysis of Several Back Propagation Algorithms in Wireless Channel for
ANN-Based Mobile Radio Signal Detector
Abstract: Application of Artificial Neural Network (ANN) in cognitive radio has received
considerable attention to incorporate artificial intelligence in cognitive radio based communication
system. This paper introduces multilayer feed-forward neural network (MFNN) for spectrum sensing to
detect the primary users. This in turn would enable the detector to identify the vacant bands that are
devoid of primary users. As the accuracy of detection depends on the structure of the network and on
7.
the learning algorithms, an MFNN is trained with different back propagation algorithms varying the
number of hidden neurons to find out the best suitable structure of the MFNN for spectrum sensing in
different conditions of the wireless channel. Distinct cyclostationary features of different primary users
are extracted to generate the input feature vectors for the MFNN as these features are well accepted for
signal detection in low signal-to-noise ratio (SNR). The False Alarm Rate (FAR) of the detector is also
evaluated with SNR and multipath delay. Simulation results prove that MFNN is suitable for designing
a highly robust vacant band detector in the time varying wireless channel as it provides low and almost
constant FAR in high multipath delay and low SNR RF environment.
Keywords: Back propagation algorithms, cognitive radio, false alarm rate, multilayer feed forward
neural network, spectrum sensing.
References: 1. Tevfik Y¨ucek and H¨useyin Arslan,”A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications”, IEEE
Communications Surveys & Tutorials, vol. 11, no. 1, first quarter 2009.
2. Shahzad A. Malik, Madad Ali Shah, Amir H. Dar, Anam Haq, Asad Ullah Khan, Tahir Javed, Shahid A. Khan, “Comparative Analysis of Primary Transmitter Detection Based Spectrum Sensing Techniques in Cognitive Radio
Systems, Australian Journal of Basic and Applied Sciences, 4(9): 4522-4531, 2010.
3. Ian F. Akyildiz, Won-Yeol Lee and Mehmet C. Vuran and Shantidev Mohanty,” NeXt generation/dynamic spectrum
access/cognitive radio wireless networks: A survey “,Computer Networks 50 (2006) 2127–2159
4. Fehske, A., Gaeddert, J.; Reed, J., “A New Approach to Signal Classification Using Spectral Correlation and Neural
Networks”, Proceedings of First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. (DySPAN 2005), pp 144-150.
5. D .Sutton, K.E. Nolan,L.E. Doyle,” ,Cyclostationary Signatures in Practical Cognitive Radio Applications” IEEE Journal
on Selected Areas in Communications, Vol: 26 , Issue: 1 pp.13 - 24 ,January 2008 6. Kyouwoong Kim ,Akbar, I.A.,Bae, K.K., Jung-Sun Um, Spooner, C.M.; Reed, J.H. “Cyclostationary Approaches to Signal
Detection and Classification in Cognitive Radio”, Proceedings of 2nd IEEE International Symposium on New Frontiers in
Dynamic Spectrum Access Networks, 2007. (DySPAN 2007), pp 212-215. 7. Randy S. Robert, William A Brown and Herschel H. Loomis, “Computationally Efficient Algorithms for Cyclic Spectral
Analysis”, in IEEE signal Processing MagazineApril,1991
8. Zhenyu Zhang, Xiaoyao Xie “Intelligent Cognitive Radio: Research on Learning and Evaluation of CR Based on Neural Network” Proceedings of ITI 5th International conference on Information and Communications Technology,
2007(ICICT,2007),pp 33 – 37.
9. C.Clancy, J. Hecker, E. Stuntebeck and T. O'Shea, “Applications of Machine Learning to Cognitive Radio Networks”, Wireless Communications, IEEE , vol: 14, pp: 47 – 52, 2007
10. Yu-JieTang,Qin-yu Zhang,Wei Lin,”Artificial Neural Network Based Spectrum Sensing Method for Cognitive Radio”
Proceedings of 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM),2010,pp.1-4
11. Ani1 K. Jain, Jianchang Mao, K.M. Mohiuddin, “Artificial Neural Network: A Tutorial”, IEEE Computer, Vol. 29 (Mar
1996 )pp. 31 – 44. 12. A. Bhavani Sankar, D. Kumar, K. Seethalakshmi, “Neural Network Based Respiratory Signal Classification Using Various
Feed-Forward Back Propagation Training Algorithms” , European Journal of Scientific Research , Vol.49 No.3 (2011),
pp.468-483. 13. S. Jadhav, S. Nalbalwar, A. Ghatol, “Performance Evaluation of Generalized Feed forward Neural Network Based ECG
Arrhythmia Classifier” , IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012
14. Rivero. Daniel, Dorado. Julián, Rabuñal. Juan R.,Pazos. Alejandro, “Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison”, Proceedings of International Joint Conference onNeural Networks, 2009, IJCNN
2009, pp. 2685-2692.
15. Chuan-Yu Chang, Yong-Cheng Hong,Pau-Choo Chung, Chin-Hsiao Tseng,”A Neural Network for Thyroid Segmentation and Volume Estimation in CT Images “IEEE Computational Intelligence Magazine, November2011
16. Gardner, W.A. , “An Introduction to Cyclostationary Signals, Chapter 1, Cyclostationarity in Communications and Signal
Processing”, IEEE Press,Piscataway,NJ,1993. 17. Gardner, W.A. Brown and C.K.Chen , “Spectral Correlation of Modulated Signals” Part 2 –Digital Modulation, IEEE
Transcations and Communications. Jun 1987, vol. 35, Issue 6, pp-595-601.
18. Mark Hudson Beale, Martin T. Hagan, Howard B. Demuth, 2010. “Neural Network Toolbox 7-User’s Guide, The Math Works Inc”.
19. Mohammed A. Ayoub, Birol M. Demiral,”Application of Resilient Back-Propagation Neural Networks for Generating a
Universal Pressure Drop Model in Pipelines” UofKEJ ,Vol. 1 ,Issue 2 pp. 9-21,October 2011 20. T. Pradeep, P.Srinivasu, P.S.Avadhani andY.V.S. Murthy,”Comparison of variable learning rate and Levenberg-Marquardt
back-propagation training algorithms for detecting attacks in Intrusion Detection Systems”, International Journal on Computer Science and Engineering (IJCSE) , vol. 3, no. 11(2011)
31-37
Authors: P. Nagasekhar Reddy
Paper Title: Modeling and Simulation of Space Vector Pulse Width Modulation based Permanent Magnet
Synchronous Motor Drive using MRAS
Abstract: The Permanent Magnet Synchronous Motors (PMSM) is extensively used in low and mid
power applications such as robotics, adjustable speed drives, electric vehicles and also in industrial
automation. The MRAS is based on the comparison of the outputs of two estimators. The first is
independent of the observed variable named as model reference. The second is the adjustable one. The
error between the two models feed an adaptive mechanism to turn out the observed variable. This paper
presents a detailed modeling of PMSM and a novel space vector pulse width modulation (SVPWM)
based control of permanent magnet synchronous motor (PMSM) drive by using a Model Reference
Adaptive System (MRAS) for estimating rotor position angle and speed based on a stator current
estimator. The three-phase, two-level voltage source inverter (VSI) has a quite simple design and
generates a low-frequency output voltage with controlled amplitude and frequency by programming
gating pulses at high-frequency. The whole drive system is simulated in Matlab/Simulink based on the
mathematical modeling of the system and the results are presented.
8.
Keywords: SVPWM, PI controller, PMSM, model reference adaptive system (MRAS), mathematical
modeling, MATLAB, About four key words or phrases in alphabetical order, separated by commas.
References: 1. S. Ozçira, N. Bekiroglu, E. Ayçiçek “Speed control of permanent magnet synchronous motor based on direct torque
control method”, IEEE/ISPE, pp.268-272,2008. 2. A. H. Wijenayake and P. B. Schmidt, "Modeling and analysis of permanent magnet synchronous motor by taking
saturation and core loss into account," International Conference on Power Electronics and Drive Systems, (Volume:2 )
1997. 3. Sen, P. C. Electric motor drives and control-past, present, and future[J], IEEE Transactions on Industrial Electronics,
1990,37(1),562–575.
4. B. Cui, J. Zhou, and Z. Ren, "Modeling and simulation of permanent magnet synchronous motor drives," 2001. 5. Tzann-Shin Lee, Chih-Hong Lin, Faa-Jeng Lin. An adaptive H controller design for permanent magnet synchronous motor
drives[J], Control Engineering Practice,2005,13 (4): 425-439
6. Z.Ibrahim, E.Levi; An experimental investigation of fuzzy logic speed control in permanent magnet synchronous motor drives, European Power Electronics and Drives Journal, vol. 12, no. 2, 2002, pp. 37-42.
7. PETROVIC, V.—ORTEGA, R.—STANKOVIC, A. M.—TADMOR, G. : Design and Implementation of an Adaptive
Controller for Torque Ripple Minimization in PM Synchronous Motors, IEEE Trans. on Power Electronics 15 No. 5 (Sep 2000), 871–880.
8. KO, J.—YOUN, S.—KIM, Y.: : A Robust Adaptive Precision Position Control of PMSM, Industry Applications
Conference, 37th IAS Annual Meeting, vol. 1, Pittsburgh, PA , USA, 2002, pp. 120–125.
9. LIU, T.-H.—PU, H.-T.—LIN, C.-K.: : Implementation of an Adaptive Position Control System of a Permanent-Magnet
Synchronous Motor and its Application, IET Electr. Power Appl. 4 No. 2 (2010), 121-130.
10. Tian Ming-xiu, Wang Li-mei, Zhen Jian-feng. ”Sensorless position control scheme for permanent magnet synchronous motor drive", School of Electrical Engineering, Shengyang University of Technology, 10, 27(5), 2005.
11. J. Luukko, “Direct Torque Control of Permanent Magnet Synchronous Machines-Analysis and Implementation”, Diss.
Lappeenranta University of Technology, Stockholm, Sweden, 2000. 12. S. Dan, F. Weizhong, H. Yikang, “Study on the direct torque control of permanent magnet synchronous motor drives”.
IEEE/ICEMS, Vol.1, pp.571 – 574, 2001.
38-42
9.
Authors: N. Zeelan Basha, G.Mahesh, N. Muthuprakash
Paper Title: Optimization of CNC Turning Process Parameters on ALUMINIUM 6061 Using Genetic
Algorithm
Abstract: This paper presents the effect of process parameter in turning operation to predict surface
roughness. Application of alumunium 6061 can be found in many manufacturing industries such as
aircraft and aerospace components, marine fittings, transport, bicycle frames, camera lenses, drive,
shafts, electrical fittings and connectors, brake components, valves, couplings. But some of the
limitations during machining of aluminum 6061 are lower strength at elevated temperatures and limited
formability affects quality of desired output. A lot of parameters that affect the turning operation are
vibration, tool wear, surface roughness etc. Among this surface roughness plays a major role which
affects the quality in the manufacturing process. This paper presents the effect of process parameter by
considering the Spindle speed, Feed rate and Depth of cut. The main objective of this paper is to
predict the surface roughness. Aluminium 6061 is taken into a consideration, machining is done by
using coated carbide tool. A second order mathematical model is developed using regression technique
of Box-Behnken of Response Surface Methodology (RSM) in design expert software 8.0 and
optimization carried out by using genetic algorithm in matlab8.0. This study attempts the application of
genetic algorithm to find the optimal solution of the cutting conditions.
Keywords: Surface Roughness, Genetic Algorithm, Optimization, CNC Turning Centre.
References: 1. Mahesh,G.;Muthu,S.;Devadasan, S. R. “Experimentation and Prediction of Surface Roughness of the Machining Parameter
with Reference to the Rake Angle in End Mill”,International Review of Mechanical Engineering;Nov2012, Vol. 6 Issue 7,
pp.1418-1426
2. K.Saravanakumar,M.R.PratheeshKumar,Dr.A.K.Shaik -Dawood, “Optimization of CNC Turning Process Parameters on INCONEL 718 Using Genetic Algorithm”, IRACST – Engineering Science and Technology: An International Journal
(ESTIJ)Vol.2, No.4, August 2012,pp.532-537
3. Mr.Ch.Madhu.V.N,Prof.,A.V.N.L.Sharma,Dr.K.Venkata-Subbiah, “Optimization of cutting parameters for surface roughness prediction using artificial neural network in CNC Turning”, IRACST – Engineering Science and Technology:
An International Journal (ESTIJ), Vol.2, No. 2, April 2012,pp.207-214 4. J.S.Senthilkumaar1;P.Selvarani and RM.Arunachalam3, “Selection of Machining Parameters Based On the Analysis Of
Surface Roughness And Flank Wear In Finish Turning And Facing Of Inconel 718 Using Taguchi Technique”, Emirates
Journal for Engineering Research, November 2010,pp.1-19. 5. Oktem a, T. Erzurumlu b, H. Kurtaran b, “Application of response surface methodology in the optimization of cutting
conditions for surface roughness”, Journal of Materials Processing Technology, 12 April 2005, pp.11-16
6. Mathew.A.Kuttolamadom,SinaHamzehlouia,M.LaineMears, “Effect of Machining Feed on Surface Roughness in Cutting6061Aluminum”, Clemson University –International Center for Automotive Research,2010,pp.1-19
7. H.M.Somashekara, “Optimizing Surface Roughness in Turning Operation Using Taguchi Technique And Anova”
,International Journal Of Engineering Science And Technology (IJEST)ISSN, Vol. 4 No.05 May 2012,pp.1962-1973. 8. S.S.K. Deepak, “Applications of Different Optimization Methods for Metal Cutting Operation”–A Review, Research
Journal of Engineering Sciences,Vol. 1(3), Sept.2012,pp. 52-58
9. HamdiAouici,Mohamed AthmaneYallese, KamelChaoui, TarekMabroukic, Jean-François Rigal, “Analysis of surface roughness and cutting force components in hard turning with CBN tool”, Prediction model and cutting conditions
Optimization, Measurement 45 (2012),pp.344–353.
10. MaciejGrzendaa, Andres Bustillo, ”The evolutionary development of roughness prediction models”, Applied Soft Computing (2012), pp.1-10
11. Arokiadass,K. Palaniradja,N.Alagumoorthi, “Prediction and Optimization of End Milling Process Parameters Of cast
Aluminium Based MMC.”, Trans. Nonferrous Met. Soc. China, 21 February 2012, pp. 1568-1574. 12. M.Brezocnik,M.Kovacic,M.Ficko,“Prediction of surface roughness with Genetic programming”,Journal of Materials
43-46
Processing Technology, 2004,pp.28-36 13. SuleymanNeseli,SuleymanYaldız,ErolTurkes,”Optimiz-ation of tool geometry parameters for turning operations based on
the response surface methodology”, Measurement 44 2011, pp. 580–587.
14. Chen Lu, “Study on prediction of surface quality in machining process”, journal of materials processing technology, 24 November 2007, pp.439-450
10.
Authors: K. Sagar, S. Vathsal
Paper Title: Design of Combinational Circuits Using Evolutionary Techniques
Abstract: With the increasing demand for high quality, more efficient design of logic circuits, the
problem of circuit design has become a multi-objective optimization problem. Therefore, there should
evolve new methodologies for designing logic circuits. Usually, logic circuits are designed by human
beings who have a specific repertoire of conventional design techniques. These techniques limit the
solutions that may be considered during the design process in both form and quality. The application of
evolutionary algorithms has allowed the creation of circuits which are substantially superior to the best
known human designs. Several evolutionary algorithms are applied in design of combinational circuits,
namely Genetic Algorithms, Particle Swarm Optimization and Ant colony Optimization techniques.
We compared these approaches and produces better performance both in terms of quality of solution
and in terms of speed of convergence.
Keywords: Circuit Design, Optimization, Evolutionary Algorithms, Convergence.
References: 1. Uthman Salem al-saiari, “Digital Circuit Design Through Simulated evolution” , King Fahd University of petroleum and
minerals , Dhahran, Saudi Arabia, November 2003 2. Russell, S. and Norvig, “Artificial Intelligence: A Modern Approach. Prentice Hall”, New Jersey. (2003).
3. Carlos A. CoelloCoello, Alan D. Christiansen, Arturo Hernandez Aguirre: “Design of Combination Logic Circuits through an Evolutionary Multi-objective Optimization Approach” Department of Electrical Engineering and Computer Science,
Tulane University, New Orleans, LA, USA, 2000
4. McCluskey E. J.: “Minimization of Boolean functions” Bell System technical Journal, (1996). 5. Karnaugh M.: “A map method for synthesis of combinational logic circuit” Transactions of the AIEE, Communications
and Electronics,( 1993).
6. Koza,J.R ,“Genetic Programming on the programming of computers by means of natural selection” ,the MIT press, Cambridge, Massachusetts. (1992)
7. Louis, and Rawlins, G.Designer Genetic algorithms: “Genetic algorithms in structure design” , In Belew, R.K. and
booker,L.B.(eds) proceedings of the fourth international conference on genetic algorithms, San mateo, California, Morgan
Kaufmann Publishers. (1991)
8. Tutorials for Genetic Algorithm ;
9. Miller, J.F., Thompson, P. and Fogarty, “Designing Electronic Circuits Using Evolutionary Algorithms. Arithmetic Circuits: A Case Study.” Genetic Algorithm and Evolution Strategy in Eng. and Comp. Sci., 105-131T. (1997).
10. Carlos A, Coello Coello, Erika Hern’andez Luna and Arturo Hern’andez Aguirre : “Use of Particle Swarm Optimazation
to design Combinational Logic circuits” (2003) 11. Carlos A. Coello Coello, Rosa Laura Zavala G., benito Mendoza Garcia and Arturo Hernandez Aguirre ” Ant Colony
System for the design of Combinational Logic Circuits” (2001)
47-51
11.
Authors: Abhinav Aggarwal, Rupika Srivastava, Sumit Malik, Kirti Meena, Poonam
Paper Title: Virtual Differential Storage Based K-Rollback Concurrency Control Algorithm in
Distributed Shared Memory Systems
Abstract: Most of the algorithms that exist today for concurrency control over distributed shared
memory, either fail to provide a scalable model or involve a large communication overhead for
establishing consensus over the state of the shared variables. After a thorough study of some of the
efficient algorithms this field, this paper introduces a functional view of a holistic approach, which
exploits the best features of all others. It provides a virtual differential storage, which allows fast
replication and compact storage, along with a strong subversion control over rollbacks in time, which
provides better fault tolerance. It also talks of an intelligent logging mechanism, where the read/write
records are used actively by the central controller to provide exclusion over Above all, the algorithm is
best implemented in LISP or Scheme due to its functional nature. This make the implementation
computationally very fast. A trade off, however, exists between the implementation complexity and the
quality of the final product.
Keywords: Log, Page, Concurrency, Shared Memory.
References: 1. Tanenbaum A. S., Robert Van Renesse, “Distributed Operating Systems”, ACM Computing Surverys, vol. 17, no. 4, pp.
419-471, Dec. 1985
2. G. LeLann, "Algorithms for distributed data-sharing systems which use tickets," in Proc.
3. R. H. Thomas, "A majority consensus approach on concurrency control for multiple copy databases," ACM Trans.
Database Syst., vol. 4, no. 2, pp. 180-209, June 1979.
4. D. J. Rosenkrantz, R. E. Stearns, and P.M. Lewis, "System level concurency control for distributed database systems," ACM Trans. Database Syst., vol. 3, no. 2, June 1978.
5. Pei-Jyun Leu & B Bhargava, “Multidimension Timestamp Protocols for Concurrency Control”, IEEE Transations on
Software Engineering, Vol. SE-13, No. 12, December 1987 6. H. T. Kung and J. T. Robinson, "On optimistic methods for concurrency control," ACM Trans. Database Syst., vol. 6, no.
2, June 1981.
7. P. Bernstein and N. Goodman, "Concurrency control in distributed database systems," ACM Comput. Surveys, vol. 13, no. 2, June 1981.
8. Jiwu Tao, J. G. Williams, Concurrency Control and Data Replication Strategies for Large-scale and Wide-distributed Databases, ISBN: 0- 7695-0996-7/01, ©IEEE 2001
52-58
9. Yoav Raz, “The Principle of Commitment Ordering, or Guuaranteeing Serializability in a Heterogeneous Environment of Multiple Autonomous Resource Managers Using Commitment”, Proceedings of the 18th VLDB Conference, Vancouver,
Canada 1992.
10. William E. Weihl, “Commutavity-Based Concurrency Control for Abstract Data Types”, IEEE Transactions on Computers, Vol 37, No. 12, December 1992.
11. P. A. Bernstein, D. W. Shipman, and J. B. Rothnie, Jr., "Concurrency control in a system for distributed databases (SDD-
1)", ACM Trans. Database Syst., vol. 5, no. 1, pp. 18-25, Mar. 1980. 12. Managing Virtual Hard Disks Using Differencing Disks, Microsoft
13. Corporation, available at: http://technet.microsoft.com/en- us/library/cc720381(v=ws.10).aspx
12.
Authors: Revanasiddappa B, K. V. Ramana Reddy
Paper Title: CPLD Implementation of Low Power Multi Serial to Ethernet Gateway for UAV Data
Acquisition Systems by Using PIC
Abstract: An Unmanned Aerial Vehicle (UAV), commonly known as a drone, is an aircraft without a
human pilot on board. It’s a flight controlled under the remote of a pilot on the ground. Historically,
UAVs were simple remotely controlled aircraft, but day-to-day autonomous control is rapidly being
employed. The development of autonomy technology makes UAV to combining information from
different sensors like temperature sensor and humidity sensor. The collected information
communicated to pc. With the help of camera motion planning determines an optimal path for vehicle
to go while meeting certain objectives and constraints. CPLD’s flexible programming features also
allow further upgrade for system. Low power, as the multi card solution can come in single CPLD card
with smaller modules around it communicating local area number of systems transferring the data from
one system to another system. In this project all the components which are using they required
maximum 3.3V power supply instead of 5V.
Keywords: Ethernet, PIC, CPLD, UAV, UART, Gateway, Multi serial.
References: 1. Mr. M.Venkatavinod, Mr. K.Sreenivasarao “FPGA Implementation of low power multiserial to Ethernet gateway for
Unmanned Aerial Vehicle (UAV) data acquisition systems,” IJERA, ISSN: 2248-9622, Vol. 2, Issue 3, May-Jun 2012,
pp.1692-1695. 2. YAO, Yonghong HU, Lu DING, “FPGA-based for Implementation of Multi-Serials to Ethernet Gateway,” IEEE, May
2010, pp.1-4.
3. Ding Wang, JiadongXu, Rugui Yao, Ruifeng Miao, “Simulation system of telemetering and telecontrol for unmanned aerial vehicle,” IEEE, Sept. 2006, pp. 3-5.
4. Shouqian Yu, Lili Yi, Weihai Chen, Zhaojin Wen, “Implementation of a Multi-channel UART Controller Based on FIFO Technique and FPGA,” Harbin, China, May 2007, pp. 2633-2638.
5. William Stalling, “Wireless Communication and Networking”, Prentice Hall 2002, ISBN 0-13-040864-6.
6. A.Willig, M.Kubish, C Hoene, A.Wohsz, "Measurement of a wireless link in industrial Environment using an IEEE802.11 compliant Physical layer", IEEE trans. On Ind Electronics, vol.49, no.6, 2002, pp. 1265-1282.
7. Halit Eren, "Wireless Sensors and Instruments Networks, Design and Applications, "China Machine Press. Beijing, Jan.
2008, pp.102-143, 144-170. 8. L. K. Hu and Q.CH. Wang, "UART-based Reliable Communication and performance Analysis", Computer Engineering,
Vol. 32 No. 10, May 2006, pp15-21.
9. S-Q. Yu, L-L. Yi, W-H. Chen, Z-J. "Wen, Implementation of a Multi-channel UART Controller Based on FIFO Technique and FPGA", Industrial Electronics and Applications, 2007. ICIEA 2007. IEEE Press, 2007, pp. 2633-2638.
10. X. D. Wu and B. Dai, "Design of Interface Between High Speed A/D and DSP Based on FIFO", Journal of Beijing
Institute of Petrochemical Technology Vol. 14 No.12, Jun. 2006, pp26-29.
59-63
13.
Authors: Kalyan Chatterjee, Prasenjit Maji, Arka Banerjee, Debarati Das, Manisha Gupta
Paper Title: A Comparative Analysis to Determine the Optimum Approach for Image Denoising
Abstract: Image denoising demands serious attention and is usually the first and foremost step in any
image processing application. Erroneous denoised results lead to improper and inaccurate final results.
So it is of prime importance to eliminate the noise from the image to the utmost extent..In this paper an
analysis is performed for image denoising by imposing different types of noise on the original
image,using a choice of wavelet decomposition techniques and also different feasible thresholding
techniques to find the optimum denoised result image and also the best combination involved in the
process .
Keywords: Image Denoising, Discrete Wavelet Transformation,Wavelet Decomposition,Wavelet
Thresholding.
References: 1. Survey of image denoisingtechniques,MCMotwani, MC Gadiya,RCMotwan - Proceedings of GSPX, 2004 – Citeseer 2. Comparative Performance Analysis of Haar,Symlets and Bior Wavelets on Image Compression using Discrete Wavelet
Transformation,Jashanbir Singh Kaleka,ReechaSharma
3. Wavelet Browser by PYWAVELETS, wavelet.pybytes.com/wavelet/sym2/,Symlets 2 wavelet (sym2) properties, filters and functions – Wavelet Properties Browser.html
4. Wavelet Browser by PYWAVELETS, wavelet.pybytes.com/wavelet/db2/,Daubechies 2 wavelet (db2) properties, filters
and functions - Wavelet Properties Browser.html 5. Wavelet Browser by PYWAVELETS, wavelet.pybytes.com/wavelet/db4/,Daubechies 4 wavelet (db4) properties, filters
and functions - Wavelet Properties Browser.html
6. Image Denoising using Wavelet Thresholding LakhwinderKaur, Savita Gupta, R.C. 7. A Novel Approach of Harris Corner Detection of Noisy Images using Adaptive Wavelet Thresholding Technique By
NilanjanDey, Pradipti Nandi, Nilanjana Barman 8. Image Denoising using Wavelet Thresholding By LakhwinderKaur, Savita Gupta, R.C. Chauhan
9. An Improved Image Denoising Method Based on Wavelet ThresholdingMethod”,H Om, M Biswas - Journal of Signal
64-69
and Information Processing, 2012 - scirp.org 10. De-noising Mems vibratinggyro using wavelet transform, RasmitaKumari Das
11. Demodulation of FM Data in Free-Space Optical Communication Systems Using Discrete Wavelet Transformation By
Nader Namazi, Ray Burris, G. Charmaine Gilbreath, Michele Suite and Kenneth Grant 12. Image de-noising using discrete wavelet transform,SK Mohideen, SAPerumal - International Journal of …, 2008 -
paper.ijcsns.org
14.
Authors: T. Lakshmi Priyanka, G. Deepthi, B. Sunil Kumar
Paper Title: Reusable Test Bench for Network on Chip Router using Advanced Verification
Methodologies
Abstract: The focus of this Paper is the actual implementation of Reusable Network On Chip Router
IP(Intellectual Property) and verifies the functionality of the five port IP router for System on chip
applications using the latest verification methodologies (OVM,UVM,VMM) Hardware Verification
Languages (Verilog, System Verilog),EDA tools. The Design of Network on Chip Router
Implementing by using Verilog LRM as for Synthesis Environment. This Router design contains Four
output ports and one input port, it is packet based Protocol. This Design consists of Registers, FSM and
FIFO’s. The Verification goes on it finds functional coverage of the Network on Chip Router by using
Verilog ,System Verilog using Questa-Sim 6.5e ,Synthesis is Xilinx ISE 9.2i EDA Tools.
Keywords: System Verilog, Fictional Coverage, assertions, Randomization, FIFO, FSM, Network-On-
Chip, Verification Methodologies, Register blocks.
References: 1. “Nortel Secure Router 4134”, Nortel Networks Pvt. Ltd. 2. “LRM”, IEEE Standard Hardware Description Language Based n the Verilog Hardware Description Language – IEEE
STD 1364-1995
3. D.Chiou,“MEMOCODE2011Hardware/SoftwareCoDesignContest”,https://ramp.ece.utexas.edu/redmine/Attachments/ DesignContest.pdf
4. Xilinx,“ML605HardwareUserGuide”,http://www.xilinx.com/support/documentation/boardsand its/ug534.pdf
5. C. F. Lin and J. B. Anderson, “-algorithm decoding of channel convolution codes,” presented at the Princeton Conf. Info. Sci. Syst., Princeton, NJ, Mar. 1986.
6. Verification Methodology Manual for SystemVerilog, Bergeron, J., Cerny, E., Hunter, A., Nightingale, A. 2005, ISBN: 0-
387-25538-http://www.synopsys.com/news/announce/press2005/snps_sourcode_licsvpr.html Reference Verification Methodology Tutorial, Synopsys documentation 2005
7. SystemVerilog Assertions Handbook, Ben Cohen, Srinivasan Venkataramanan, Ajeetha Kumari , 2005 ISBN 0-9705394-
7-9 http://www.abvsva.org/vmm/snug06_cohen_sri_aji.tar
8. Application Note: Using the Router Interface to Communicate Motorola, ANN91/D Rev. 1, 01/2001. Cisco Router OSPF:
Design& Implementation Guide, Publisher: McGraw-Hill 9. Design Patterns: Elements of Reusable Object-Oriented Software (Addison-Wesley Professional Computing Series), Erich
Gamma, Richard Helm, Ralph Johnson, John Vlissides
70-74
15.
Authors: Rupinderpal Singh, Pankaj Sapra, Varsha Verma
Paper Title: An Advanced Technique of De-Noising Medical Images using ANFIS
Abstract: Noise reduction has been a traditional problem in image processing. Medical images like X-
RAY, CT, MRI, PET and SPECT have minute information about heart, brain, nerves etc. These images
are corrupted during transmission. When these are corrupted by noise, it is impossible to rescue a
human being from harmful effects. Recent wavelet thresholding based denoising methods proved
promising, since they are capable of suppressing noise while maintaining the high frequency signal
details. However, the local space-scale information of the image is not adaptively considered by
standard wavelet thresholding methods. In this thesis, a new type of technique neural network and
fuzzy has been proposed. The proposed technique confiscates the Additive white Gaussian Noise from
the CT images and improves the quality of the CT images. The proposed work is comprised of three
phases; they are preprocessing, training and testing. In the preprocessing phase, the CT image which is
affected by the AWGN noise is transformed using multi wavelet transformation. In the training phase
the obtained multi-wavelet coefficients are given as input to the Neural Network and Fuzzy System. In
the testing phase, the input CT image is examined using this trained Neural Network and Fuzzy System
and then to enhance the quality of the CT image thresholding is applied and then the image is
reconstructed. Hence, the denoised and the quality enhanced CT images are obtained in an effective
manner.
Keywords: Image processing, filters, de-noising, Discrete Wavelet Transform (DCT), neural network,
fuzzy logic.
References: 1. Motwani, M.C., M.C. Gadiya and R.C. Motwani, 2004. Survey of Image Denoising Techniques. In the Proceedings of the
2004 GSPx Conference, Santa Clara, CA.
2. Saba, T., A. Rehman and G. Sulong, 2010. An Intelligent Approach to Image Denoising. Journal of Theoretical and Applied Information Technology.
3. Buades, A., B. Coll and M. Morel, 2005. Image Denoising by Non-local Averaging. In the Proceedings of the 2005 IEEE
International Conference on Acoustics, Speech and Signal Processing, pp: 25-28. 4. Mahmoudi, M. and G. Sapiro, 2005. Fast Image and Video Denoising via Non-local Means of Similar Neighborhoods.
IEEE Signal Processing Letters, 12(12).
5. Lindenbaum, M., M. Fischer and A. Bruckstein, 1994.. On Gabor Contribution to Image-Enhancement. Pattern Recognition, 27: 1-8.
6. Perona, P. and J. Malik, 1990. Scale Space and Edge Detection Using Anisotropic Diffusion. IEEE Trans. Patt. Anal.
75-80
Mach. Intell., 12: 629-639. 7. Alvarez, L., P.L. Lions and J.M. Morel, 1992. Image Selective Smoothing And Edge Detection By Nonlinear Diffusion
(II). SIAM Journal of Numerical Analysis, 29: 845-866.
8. Yaroslavsky, L.P. and M. Eden, 1996. Fundamentals of Digital Optics. Birkhauser. 9. Rudin, L. and S. Osher, 1992. Nonlinear Total Variation Based Noise Removal Algorithms. Physica D, 60: 259-268.
10. Coifman, R.R. and D. Donoho, 1995. Translationinvariant De-noising. Wavelets and Statistics, pp: 125-150.
11. Kazubek,M., 2003. Wavelet Domain Image Denoising 19. Kulkarni, A.D., 2001. Computer Vision and Fuzzyby Thresholding and Wiener Filtering. IEEE Signal Neural Systems. Prentice Hall. Processing Letters, 10: 324-326. 20.
Cheema, T.A., I. Qureshi and M. Naveed A. 2007.
12. Grace Chang, S., B. Yu and M. Vattereli, 2000. Blur and Image Restoration of Nonlinearly Degraded Adaptive Wavelet Thresholding For Image Images Using Neural Networks Based on Modified Denoising And Compression. IEEE
Transactions of Nonlinear ARMA Model. The Arabian Journal for Image Processing, 9: 1532-1546. Science and
Engineering, 32: 67-83. 13. Jansen, M., 2001. Noise Reduction by Wavelet Thresholding. Springer Verlag, New York Inc. An image Denoising
Technique Using Feedforward.
14. Kaur, L., S. Gupta and R.C. Chauhan, 2002. Image Neural Network. In the Proceedings of the 2010 Denoising Using Wavelet Thresholding. In the International Symposium on Intelligent Systems Proceedings of the 2002 Indian Conference
on (iFAN 2010), pp: 25-26.
15. Kumar, S., P.M. Gupta and A.K. Nagawat, 2010. Image Restoration Using Variational PDE-Based Performance Comparison of Median and Wiener Filter Neural Network. Journal of Neurocomputing, in Image De-Noising. International
Journal of 69: 2364-2368.
16. Jin, F., P.W. Fieguth, L. Winger and E. Jernigan, 2003. Chaotic Neural Network Approach To Image Adaptive Wiener
Filtering of Noisy Images and Denoising. In the Proceedings of the 2004.
17. Dalong, L., S. Simske and M. Mersereau, 2007. Image Second Edition, Porto Alegre, Bookman. Denoising Through
Support Vector Regression. 18. Yu, C.C. and B.D. Liu, 2002. A Backpropagation In the Proceedings of the 2007 IEEE International Algorithm With
Adaptive Learning Rate And Conference on Image Processing, 4: 425-428. Momentum Coefficient. In the Proceedings of
the 19. Buades, A., B. Coll and J. Morel, 2008. Nonlocal 2002 IEEE World Congress on Computational Image and Movie
Denoising. International Journal of Intelligence, pp: 1218-1223.
20. S. Haykin, Neural Network: A Comprehensive Foundation, Prentice-Hall, NJ, 2nd ed., 1999.
16.
Authors: Jibendu Kumar Mantri
Paper Title: Comparison between SVM and MLP in Predicting Stock Index Trends
Abstract: Recently, data mining and time series prediction in financial forecasting has received much
research attention. Many techniques are used in prediction on stock and fund trend, volatility, etc. In
this paper, two technique of neural network is compared, namely, Support Vector Machine (Support
Vector Machine, SVM) and MLP for considering four years of data of Sensex.(Bombay Stock
Exchange).
Keywords: SVM, MLP, Volatility.
References: 1. F.Cruz, Julio A Afonso-Rodr´ıguez and Javier Giner (2003), Quantitave Finance volume ,pp 1-10.
2. Gavrishchaka, Supriya B. Ganguli (2003)Neurocomputing 55 , 285 – 305 3. M.Sap,etl (2005),Stock market prediction using SVM, Journal Teknologi Maklumant,pp 27-35
4. Lijuan Cao (2003), Support vector machines experts for time series forecasting, Neurocomputing 51 (2003) 321 – 339.
5. Wun-Hua Chen and etl.(2006),Comparison of support-vector machines and back propagation neural networks in forecasting the six major Asian stock markets, International Journal of Electronic Finance,pp49-67
81-82
17.
Authors: Pankaj Sapra, Rupinderpal Singh, Shivani Khurana
Paper Title: Brain Tumor Detection Using Neural Network
Abstract: The segmentation of brain tumors in magnetic resonance images (MRI) is a challenging and
difficult task because of the variety of their possible shapes, locations, image intensities. In this paper,
it is intended to summarize and compare the methods of automatic detection of brain tumor through
Magnetic Resonance Image (MRI) used in different stages of Computer Aided Detection System
(CAD). Brain Image classification techniques are studied. Existing methods are classically divided into
region based and contour based methods. These are usually dedicated to full enhanced tumors or
specific types of tumors. The amount of resources required to describe large set of data is simplified
and selected in for tissue segmentation. In this paper, modified image segmentation techniques were
applied on MRI scan images in order to detect brain tumors. Also in this paper, a modified Probabilistic
Neural Network (PNN) model that is based on learning vector quantization (LVQ) with image and data
analysis and manipulation techniques is proposed to carry out an automated brain tumor classification
using MRI-scans. The assessment of the modified PNN classifier performance is measured in terms of
the training performance, classification accuracies and computational time. The simulation results
showed that the modified PNN gives rapid and accurate classification compared with the image
processing and published conventional PNN techniques. Simulation results also showed that the
proposed system out performs the corresponding PNN system presented and successfully handle the
process of brain tumor classification in MRI image with 100% accuracy.
Keywords: Magnetic Resonance Image (MRI),Computer Aided Detection System (CAD),
Probabilistic Neural Network (PNN), Edge detection.
References: 1. American Brain Tumor Association. (2010). Facts and statistics, 2010. Retrieved from
http://www.abta.org/sitefiles/pdflibrary/ABTAFactsandStatistics2010.pdf
83-88
2. Central Brain Tumor Registry of the United States. (2010). CBTRUS statistical report:Primary brain and central nervous system tumors diagnosed in the United States in 2004–2006. Retrieved from http://www.cbtrus.org/2010-NPCR-
SEER/CBTRUS -WEBREPORT-Final-3-2-10.pdf
3. Sidney Croul, Jessica Otte and Kamel Khalili, “Brain tumors and polyomaviruses”, Journal of NeuroVirology, 9: 173–182, 2003
4. S. M. Bhandarkar and P. Nammalwar, “Segmentation of Multispectral MR images Using Hierarchical Self-Organizing
Map,” Proceedings of Computer-Based medical system CBMS 2001. 5. C. A. Parra, K. Iftekharuddin and R. Kozma, “Automated Brain Tumor segmentation and pattern Recoginition using
ANN,” Computional Intelligence Robotics and Autonomous Systems, 2003.
6. Andreas Rimner, Andrei I. Holodny and Fred H. Hochberg, “Perfusion Magnetic Resonance Imaging to Assess Brain Tumor Responses to New Therapies,” US neurological disease, 2006.
7. V. J. Nagalkar and S. S. Asole, “Brain tumor detection using digital image processing based on soft computing,” Journal of
Signal and Image Processing , Vol. 3,No. 3, pp.-102-105, 2012 8. J. Alirezaie, M. E. Jernigan and C. Nahmias, “ Neural Network based segmentation of Magnetic Resonance Images of the
Brain,” IEEE Trans, Nuclear Science, Vol.18, No.2, pp:7-30, 2002
9. S. Datta and M Chakraborty, “Brain Tumor Detection from Pre- Processed MR Images using Segmentation Techniques,” CCSN, 2011.
10. Sudipta Roy and Samir K. Bandyopadhyay, “Detection and Quantification of Brain Tumor from MRI of Brain and it’s
Symmetric Analysis,” International Journal of Information and Communication Technology Research, Vol. 2, No. 6, June 2012.
11. D. Shevad, “Multiple object segmentation and tracking in image sequence,” Lamar University -Beaumont, April 2005.
12. T. Logeswari and M. Karnan, “An Improved Implementation of Brain Tumor Detection Using Segmentation Based on
Hierarchical Self Organizing Map”, International Journal of Computer Theory and Engineering, Vol. 2, No. 4, August,
2010.
13. R. Gonzalez and R. Woods, Digital Image Processing, 3rd Edition. Prentice Hall, 2008. 14. Alexander Statnikov, “Automatic cancer diagnostic decision support system for gene expression domain”, Thesis, August,
2005.
15. M. M. Ibrahiem, E Emary and S. Ramakrishnan, “On the Application of Various Probabilistic Neural Networks in Solving Different Pattern Classification Problems,” World Applied Sciences Journal, Vol. 4 No. 6, pp. 772-780, 2008.
16. S. Asif Hussain and M. Praveen Raju, “Neuro-Fuzzy System for Medical Image Processing’” Proceedings of the Inter.
Conf. on Comm. and Computational Intellig., pp.382-385, India. Dec., 2010. 17. John Canny, “A Computational Approach to Edge Detection”, IEEE Transactions on Pattern Analysis And Machine
Intelligence, Vol. Pami-8, No. 6, November 1986.
18. F. Mai, Y. Hung, H. Zhong, and W. Sze. “A hierarchical approach for fast and robust ellipse extraction,” Pattern Recognition, Vol. 41, No. 8, pp.2512–2524, August 2008.