international journal of innovative technology and exploring … · 2020-01-20 · 12. rafael...

Editor-In-Chief Chair Dr. Shiv Kumar

Ph.D. (CSE), M.Tech. (IT, Honors), B.Tech. (IT), Senior Member of IEEE

Blue Eyes Intelligence Engineering & Sciences Publication, Bhopal (M.P.), India.

Associated Editor-In-Chief Chair Prof. MPS Chawla

Member of IEEE, Professor-Incharge (head)-Library, Associate Professor in Electrical Engineering, G.S. Institute of Technology &

Science Indore, Madhya Pradesh, India, Chairman, IEEE MP Sub-Section, India

Dr. Vinod Kumar Singh

Associate Professor and Head, Department of Electrical Engineering, S.R.Group of Institutions, Jhansi (U.P.), India

Dr. Rachana Dubey

Ph.D.(CSE), MTech(CSE), B.E(CSE)

Professor & Head, Department of Computer Science & Engineering, Lakshmi Narain College of Technology Excellence (LNCTE),

Bhopal (M.P.), India

Associated Editor-In-Chief Members

Dr. Hai Shanker Hota

Ph.D. (CSE), MCA, MSc (Mathematics)

Professor & Head, Department of CS, Bilaspur University, Bilaspur (C.G.), India

Dr. Gamal Abd El-Nasser Ahmed Mohamed Said

Ph.D(CSE), MS(CSE), BSc(EE)

Department of Computer and Information Technology , Port Training Institute, Arab Academy for Science ,Technology and Maritime

Transport, Egypt

Dr. Mayank Singh

PDF (Purs), Ph.D(CSE), ME(Software Engineering), BE(CSE), SMACM, MIEEE, LMCSI, SMIACSIT

Department of Electrical, Electronic and Computer Engineering, School of Engineering, Howard College, University of KwaZulu-

Natal, Durban, South Africa.

Scientific Editors

Prof. (Dr.) Hamid Saremi

Vice Chancellor of Islamic Azad University of Iran, Quchan Branch, Quchan-Iran

Dr. Moinuddin Sarker

Vice President of Research & Development, Head of Science Team, Natural State Research, Inc., 37 Brown House Road (2nd Floor)

Stamford, USA.

Prof. (Dr.) Nishakant Ojha

Principal Advisor (Information &Technology) His Excellency Ambassador Republic of Sudan& Head of Mission in New Delhi, India

Dr. Shanmugha Priya. Pon

Principal, Department of Commerce and Management, St. Joseph College of Management and Finance, Makambako, Tanzania, East Africa, Tanzania

Dr. Veronica Mc Gowan

Associate Professor, Department of Computer and Business Information Systems,Delaware Valley College, Doylestown, PA, Allman,

China.

Dr. Fadiya Samson Oluwaseun

Assistant Professor, Girne American University, as a Lecturer & International Admission Officer (African Region) Girne, Northern

Cyprus, Turkey.

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. Durgesh Mishra

Professor & Dean (R&D), Acropolis Institute of Technology, Indore (M.P.), India

Special Issue Section Editor

Mr. Siddth Kumar

Founder and Managing Director, IFERP, Technoarete Groups, India

Mr. Rudra Bhanu Satpathy

Founder and Managing Director, IFERP, Technoarete Groups, India

Dr. Mahdi Esmaeilzadeh

Founder & Chairman, of Scientific Research Publishing House (SRPH), Mashhad, Iran

Executive Editor Chair

Dr. Deepak Garg

Professor & Head, Department Of Computer Science And Engineering, Bennett University, Times Group, Greater Noida (UP), India

Executive Editor Members

Dr. Vahid Nourani

Professor, Faculty of Civil Engineering, University of Tabriz, Iran.

Dr. Saber Mohamed Abd-Allah

Associate Professor, Department of Biochemistry, Shanghai Institute of Biochemistry and Cell Biology, Shanghai, China.

Dr. Xiaoguang Yue

Associate Professor, Department of Computer and Information, Southwest Forestry University, Kunming (Yunnan), China.

Dr. Labib Francis Gergis Rofaiel

Associate Professor, Department of Digital Communications and Electronics, Misr Academy for Engineering and Technology,

Mansoura, Egypt.

Dr. Hugo A.F.A. Santos

ICES, Institute for Computational Engineering and Sciences, The University of Texas, Austin, USA.

Dr. Sunandan Bhunia

Associate Professor & Head, Department of Electronics & Communication Engineering, Haldia Institute of Technology, Haldia

(Bengal), India.

Dr. Awatif Mohammed Ali Elsiddieg

Assistant Professor, Department of Mathematics, Faculty of Science and Humatarian Studies, Elnielain University, Khartoum Sudan,

Saudi Arabia.

Technical Program Committee Chair

Dr. Mohd. Nazri Ismail

Associate Professor, Department of System and Networking, University of Kuala (UniKL), Kuala Lumpur, Malaysia.

Technical Program Committee Members

Dr. Haw Su Cheng

Faculty of Information Technology, Multimedia University (MMU), Jalan Multimedia (Cyberjaya), Malaysia.

Dr. Hasan. A. M Al Dabbas

Chairperson, Vice Dean Faculty of Engineering, Department of Mechanical Engineering, Philadelphia University, Amman, Jordan.

Dr. Gabil Adilov

Professor, Department of Mathematics, Akdeniz University, Konyaaltı/Antalya, Turkey.

Dr.Ch.V. Raghavendran

Professor, Department of Computer Science & Engineering, Ideal College of Arts and Sciences Kakinada (Andhra Pradesh), India.

Dr. Thanhtrung Dang

Associate Professor & Vice-Dean, Department of Vehicle and Energy Engineering, HCMC University of Technology and Education,

Hochiminh, Vietnam.

Dr. Wilson Udo Udofia

Associate Professor, Department of Technical Education, State College of Education, Afaha Nsit, Akwa Ibom, Nigeria.

Manager Chair

Mr. Jitendra Kumar Sen

Blue Eyes Intelligence Engineering & Sciences Publication, Bhopal (M.P.), India

Editorial Chair

Dr. Arun Murlidhar Ingle

Director, Padmashree Dr. Vithalrao Vikhe Patil Foundation’s Institute of Business Management and Rural Development, Ahmednagar

(Maharashtra) India.

Editorial Members

Dr. Wameedh Riyadh Abdul-Adheem

Academic Lecturer, Almamoon University College/Engineering of Electrical Power Techniques, Baghdad, Iraq

Dr. T. Sheela

Associate Professor, Department of Electronics and Communication Engineering, Vinayaka Mission’s Kirupananda Variyar

Engineering College, Periyaseeragapadi (Tamil Nadu), India

Dr. Manavalan Ilakkuvan

Veteran in Engineering Industry & Academics, Influence & Educator, Tamil University, Thanjavur, India

Dr. Shivanna S.

Associate Professor, Department of Civil Engineering, Sir M.Visvesvaraya Institute of Technology, Bengaluru (Karnataka), India

Dr. H. Ravi Kumar

Associate Professor, Department of Civil Engineering, Sir M.Visvesvaraya Institute of Technology, Bengaluru (Karnataka), India

Dr. Pratik Gite

Assistant Professor, Department of Computer Science and Engineering, Institute of Engineering and Science (IES-IPS), Indore (M.P),

India

Dr. S. Murugan

Professor, Department of Computer Science and Engineering, Alagappa University, Karaikudi (Tamil Nadu), India

Dr. S. Brilly Sangeetha

Associate Professor & Principal, Department of Computer Science and Engineering, IES College of Engineering, Thrissur (Kerala),

India

Dr. P. Malyadri

Professor, ICSSR Senior Fellow Centre for Economic and Social Studies (CESS) Begumpet, Hyderabad (Telangana), India

Dr. K. Prabha

Assistant Professor, Department of English, Kongu Arts and Science College, Coimbatore (Tamil Nadu), India

Dr. Liladhar R. Rewatkar

Assistant Professor, Department of Computer Science, Prerna College of Commerce, Nagpur (Maharashtra), India

Dr. Raja Praveen.N

Assistant Professor, Department of Computer Science and Engineering, Jain University, Bengaluru (Karnataka), India

Dr. Issa Atoum

Assistant Professor, Chairman of Software Engineering, Faculty of Information Technology, The World Islamic Sciences & Education

University, Amman- Jordan

Dr. Balachander K

Assistant Professor, Department of Electrical and Electronics Engineering, Karpagam Academy of Higher Education, Pollachi

(Coimbatore), India

Dr. Sudhan M.B

Associate Professor & HOD, Department of Electronics and Communication Engineering, Vins Christian College of Engineering,

Anna University, (Tamilnadu), India

Dr. T. Velumani

Assistant Professor, Department of Computer Science, Kongu Arts and Science College, Erode (Tamilnadu), India

Dr. Subramanya.G.Bhagwath

Professor and Coordinator, Department of Computer Science & Engineering, Anjuman Institute of Technology & Management

Bhatkal (Karnataka), India

Dr. Mohan P. Thakre

Assistant Professor, Department of Electrical Engineering, K. K. Wagh Institute of Engineering Education & Research Hirabai

Haridas Vidyanagari, Amrutdham, Panchavati, Nashik (Maharashtra), India

Dr. Umar Lawal Aliyu

Lecturer, Department of Management, Texila American University Guyana USA.

Dr. K. Kannan

Professor & Head, Department of IT, Adhiparasakthi College of Engineering, Kalavai, Vellore, (Tamilnadu), India

S. No

Volume-9 Issue-2S3, December 2019, ISSN: 2278-3075 (Online)

Published By: Blue Eyes Intelligence Engineering & Sciences Publication

Page No.

1.

Authors: B. Vasantha Lakshmi, D. Elizabath Rani

Paper Title: Examination of Skin Cancer Images using Wavelet De-noising

Abstract: The objective of this paper is de-noising of melanoma images using wavelets because, dermatoscopy

images are corrupted by noise, which leads to fault diagnosis. Hence de-noising is essential in melanoma skin

cancer image to remove the salt and pepper noise(impulse noise) by preserving the melanoma image original

information. The wavelet thresholding techniques are used in this paper to de-noise the melanoma image and

improved the quality of an image. Wavelet de-noising algorithm has been developed employing soft and hard

thresholding techniques. It works on Daubechies, Symlet, biorthogonal wavelets at decomposition level5. Image

objective performance metrics like peak signal to noise ratio, mean square error and statistical performance

metrics like mean, median, standard deviation, L1 norm, L2 norm are observed and analyzed for melanoma

images.

Keyword: De-noising, mean square error (MSE), Melanoma, peak signal to noise ratio (PSNR), thresholding,

wavelet transform.

References: 1. N.Mustafa, S.Ahmed, Jiang.P.Li, Mohaned Giess “Medical Image De-Noising Schemes using Wavelet Transform with

FixedForm Thresholding”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 10,

2015.

2. T.Grover, “Denoising of Medical Images using Wavelet Transform” Imperial Journal of Interdisciplinary Research(IJIR),

Volume-2, Issue-3,2016.

3. R.E.Woods and Rafael C. Gonzalez “Digital Image Processing”, Second Edition, Pearson Education.

4. Dr.T.Venkateswarlu, and V.N.PrudhviRaj “Denoising of Medical Images using Image Fusion Techniques”, Signal & Image

Processing: An International Journal (SIPIJ) Vol.3, No.4, August 2012.

5. A.NooriHoshyar, Afsaneh N. Hoshyar, A.Al-Jumailya, ‘The Beneficial Techniques in Pre-Processing step of Skin cancer

Detection system comparing’ an “International Conference on Robot PRIDE 2013-2014 - Medical and Rehabilitation Robotics

and Instrumentation”, Conference Pride, 2013-2014

6. B.Vasantha Lakshmi, Dr. D. Elizabeth Rani, “ De-noising Of Skin Cancer Images Using Wavelet Thresholding And Analysis Of

Statistical Performance Metrics”, Journal of Emerging Technologies and Innovative Research, Volume-6, Issue No-5, May-2019.

7. Amir Reza Sadri, MaryamZekriSaeid Sadri, NiloofarGheissarri, “Impulse Noise Cancellation of Medical Images using Wavelet

Networks and Median Filters”, Journal of Medical Signals and Sensors, Vol-2, Issue-1, January-March 2012.

8. Y.Yitzhaky,L.Graham, and Ibrahim Abdulhalim, “Classification of skin moles from optical spectro polarimetric images: a pilot

study”, Journal of Biomedical Optics 18(11), 111403, November 2013.

9. M. Srivastava, C.L.Anderson, J. H. Freed, “ A New Wavelet De-noising Method For Selecting Decomposition Levels And Noise

Thresholds”. IEEE Access. 2016; 4:3862- 3877, doi:10.1109/ACCESS. 2016. 2587581.

10. Philipp Tschandl, Harald Kittler and Cliff Rosendahl “Data Descriptor: The HAM 10000dataset, A Large Collection Of Multi-

Source Dermatoscopic Images Of Common Pigmented Skin Lesions”, Scientific Data 5:180161, DOI:10.1038/sdata.2018.161

11. Ales Prachazla, Martina Mudrova “Wavelet- Based Image Segmentation”, https:// www.researchgate.net/ publication/

228453305.

12. Rafael C.Gonzalez, Steven L.Eddins, and Richard E. Woods, “Digital Image Processing Using MATLAB”, Pearson Education.

1-6

2.

Authors: T. Ravi Babu, C. Dharma Raj, V. Adinarayana

Paper Title: OFDM-based Massive MIMO Channel Estimation using Gaussian Mixture Learning and

Compressed Sensing Methods

Abstract: Massive MIMO-OFDM system is proved to be an effective and most sustainable technology to

forthcoming applications of 5G wireless communications. It furnished significant gains that facilitate a higher number of user connections at high data rates with improved latency and reliability. To achieve accurate channel

knowledge, lessen pilot overhead is necessary. To resolve this problem, one of the favorite approaches is

compressed sensing. Sparse channel estimation develops the essential sparsity between the communicating

channels that can be improved by the channel estimation efficacy with lower pilot overhead. To achieve this,

non-zero vector distribution can be taking into consideration the Gaussian mixture accordingly, learn their

characteristics towards the expectation-maximization procedure. The results of simulation have proved the

performance of proposed estimation approach of channel keeping with minimum pilot overhead and developed

exceptional symbol error rate (SER) performance of the system.

Keyword: Massive MIMO-OFDM,Gaussian Mixture, Approximate message passing, Channel estimation

Compressed sensing. References:

1. E. G. Larsson, F. Tufvesson, et.all, “Massive MIMO for next generation wireless systems,” IEEE CommunicationMagazine.,

volume. 52, no. 2, pp. 186–195, February. 2014.

2. U. S. Kamilov, S. Rangan, et.all, “Approximatemessage passing with consistent parameter estimation and applicationsto sparse

learning,” in Proceedings. Neural Inform. Process System, Conf., Dec. 2012.

7-13

3. R. Neal and G. Hinton, “A view of the EM algorithm that justifiesincremental, sparse, and other variants,” in Learning in

GraphicalModels (M. I. Jordan, ed.), pp. 355–368, MIT Press, 1999.

4. Y.Han, J. Lee and David J.Love, “Compressed Sensing-Aided Downlink Channel Training for FDD Massive MIMO Systems”

IEEE Transactions. On Communications, Volume: 65, Issue: 7, July 2017

5. J. Ziniel and P. Schniter, “Dynamic compressive sensing of time-varying signals via approximate message passing,” IEEE Signal

Process,volume 61, no. 21, pp. 5270-5284, November 2013.

6. C. R. Berger, Z. Wang, J. Huang, and S. Zhou, “Application of compressive sensing to sparse channel estimation,” IEEE

Commun. Magazine, volume 48, no 11, pp 164-174, November 2010.

7. S. Rangan, “Generalized approximate message passing for estimation with random linear mixing,” in Proc. IEEE Int. Symp.

Information Theory (ISIT), Saint Petersburg, Russia, Aug. 2011, pp. 2168–2172.

8. D. L. Donoho, A. Maleki, and A. Montanari, “Message passing algorithms for compressed sensing,” Proc. Nat. Acad. Sci., vol.

106, no. 45, pp. 18 914–18 919, 2009.

9. M. Bayati and A. Montanari, “The dynamics of message passing on dense graphs, with applications to compressed sensing”,IEEE

Transactions. Inf. Theory, volume. 57, no. 2, pp. 764–785, Feb. 2011.

10. M. P. Friedlander, H. Mansour, et.al, “Recovering ¨ compressively sampled signals using partial support information,” IEEE

Transactions Inf. Theory, volume 58, no. 2, pp. 1122-1134, Feb. 2012.

11. W. U. Bajwa, J. Haupt, et.al, “Compressed channel sensing: A new approach to estimating sparse multipath channels,”

Proceedings. IEEE, volume 98, no 6, pp 1058–1076, June 2010.

12. N. Vaswani, “LS-CS-residual (LS-CS): Compressive sensing on least squares residual,” IEEE Transactions, Signal Process,

volume. 58, no. 8, pp. 4108- 4120, August 2010.

13. Y. C. Pati, R. Rezaiifar, et.al, “Orthogonal matching pursuit: Recursive function approximation with applications to wavelet

decomposition,” in Proceedings. 27th Annual Asilomar Conference. Signals, Systems, and Computers, 1993, pp. 40–44.

14. P. Vila and P. Schniter, “Expectation-maximization Gaussian-mixture approximate message passing,” IEEE Trans. Signal

Processing., volume 61, no. 19, pp. 4658–4672, Oct. 2013.

15. R. Wu and D. Chen, “The exact support recovery of sparse signals with

16. noise via orthogonal matching pursuit,” IEEE Signal Process. Letters., volume.20, no. 4, pp. 403-406, April 2013.

17. S. Ji, Y. Xue, and L. Carin, “Bayesian compressive sensing,” IEEE Transactions,Signal Processing., vol. 56, pp. 2346–2356, June

2008.

18. H. Q. Ngo, E. G. Larsson, and T. L. Marzetta, “Massive MU-MIMO downlink TDD systems with linear precoding and downlink

pilots,” in Allerton Conference, Communication, Control, and Computing, UrbanaChampaign, Illinois, October. 2013, pp. 293–

298.

3.

Authors: D. Sandeep Vara Sankar, R. Aditya, S. Gopi Krishna, P. Atchuta Rao

Paper Title: Robust Heart Sound Segmentation and Detection using biased Cramer-Rao Lower Bound

Estimation and Variance Algorithm

Abstract: Cardiac disorders are the most common infirmity suffered by the human race. Medical research states

that worldwide almost 30% of the deaths are caused because of cardiovascular diseases. Even though many

procedures such as Echocardiography, Carotid pulse and Electrocardiography are available, the conventional

approach followed for detecting abnormalities are carried by hearing to the heart rhythms. This proposed study

enables the health care physicians to diagnose pathologies of highly non-stationary heart sounds efficiently by

using the second-order statistics of the signal. In this paper, a preprocessing methodology is used for removing noise caused by the lower frequency components and to focus only on the primary components S1 & S2, which

are further feature extracted by using principal component analysis (PCA). A proposed variance algorithm (VA)

is developed to identify the boundary locations of heart sounds and segment the featured signals into series of

cardiac cycles. Further, we developed a modified variance algorithm (MVA) using biased Cramer-Rao lower

bound (CRLB) to estimate the heart sound (HS) signals that exhibit minimum variance and extract finer

boundary locations of the signal components which helps in identifying S1 & S2 positions. When compared with

PCA, VA and Shannon energy (SE) methods for the same dataset, the MVA scheme exhibits very low

normalized mean square error (NMSE) in extracting boundary locations by -71.60±0.25 dB and achieves high

cardiac cycle segmentation ratio of 97.78±0.98 %. A brief analysis of the results showed that the proposed MVA

scheme using biased CRLB exhibits 97.4±1.2% accuracy in identifying S1 and S2 heart sounds.

Keyword: Principal Component Analysis, Segmentation, Minimum Variance Unbiased Estimator, Cramer-Rao

Lower Bound, Mean Square Error, Phonocardiogram. References:

1. Samjin Choi, Zhongwei Jiang, “Comparison of Envelope Extraction Algorithms for Cardiac Sound Signal Segmentation”, Expert

Systems with Applications, 2008, Edition 34, Issue 2, pp. 1056-1069.

2. Reed T R, Reed N E and Fritzson P, “Heart sound analysis for symptom detection and computer-aided diagnosis,”Simul. Model.

Practice Theory, 12 (2004), pp.129–146.

3. AbdelghaniDjebbari and FethiBereksiReguig, “Short-Time Fourier Transform Analysis of the Phonocardiogram Signal”, 7th

IEEE International Conference, 2000, volume 2, pp. 844-847.

4. Jung Jun Lee, Sang Min Lee, In Young Kim, Hong Ki Min, Seung Hong Hong, “Comparison between Short Time Fourier

Transform and Wavelet Transform for Feature Extraction of Heart Sound”, Proceedings of IEEE Region 10 Conference,

TENCON, 1999, volume 2, pp. 1547-1550.

5. H. Liang, S. Lukkarinen, and I. Hartimo, “Heart sound segmentation algorithm based on heart sound envelogram,” Computers in

Cardiology, volume 24, 1997, pp. 105-108.

6. D. Boutana, M. Benidir, and B. Barkat, “Segmentation and identification of some pathological phonocardiogram signals using

time-frequency analysis”, IET Signal Processing, 2011, volume 5, pp. 527-537.

7. C Ahlstrom, P Hult, P Rask, J.E Karlsson, E Nylander, U Dahlstrom, P Ask, “Feature Extraction for Systolic Heart Murmur

Classification”, Annals of Biomedical Engineering, November 2006, volume 34, pp. 1666-1677.

8. M.A.R Santos and M. Souza, “Detection of First and Second Cardiac Sounds Based on Time-Frequency Analysis”, proceedings

23rd EMBS conference, Istanbul, 2001, pp. 1915-1918.

9. L. Goldberger, David R. Rigney and Bruce J. West, "Chaos and Fractals in Human Physiology," Scientific American, February

1990, pp.421-435.

10. Hong Tang, Ting Li, Yongwan Park, and Tianshuang Qiu. "Separation of Heart Sound Signal from Noise in Joint Cycle

Frequency–Time-Frequency Domains Based on Fuzzy Detection." IEEE Transactions on Biomedical Engineering, volume 57,

2010, pp. 2438-2447.

14-22

11. Moukadem Ali, Alain Dieterlen, Nicolas Hueber, and Christian Brandt. "A robust heart sounds segmentation module based on S-

transform." Biomedical Signal Processing and Control 8, no. 3 2013, pp. 273-281.

12. Chrysa D. Papadaniil and Leontios J.Hadjileontiadis."Efficient Heart Sound Segmentation and Extraction Using Ensemble

Empirical Mode Decomposition and Kurtosis Features" IEEE Journal of Biomedical and Health Informatics, volume 18, 2014,

pp. 1138-1152.

13. Sunjung Kim and Dosik Hwang. "Murmur-adaptive compression technique for phonocardiogram signals." Electronics Letters,

volume 52, 2016, pp. 183-184.

14. Yonina C. Eldar, “Minimum Variance in Biased Estimation: Bounds and Asymptotically Optimal Estimators”, IEEE

Transactions on Signal Processing, volume 52, 2004, pp. 1915-1930.

15. Loudon, Robert, and Raymond LH Murphy JR. "Lung Sounds’2." Am Rev Respir Dis 130 (1984), pp. 663-673.

16. Paul A, Laizzo (Ed), “Handbook of Cardiac Anatomy, Physiology, and Devices”, 2009, 2nd Edition.

17. Stephane Mallat, “A wavelet Tour of Signal Processing, The Sparse Way”, An Imprint of Elsevier, 2009, 3rd Edition.

18. D., P. Carvalho,Kumar, M. Antunes, J. Henriques, M. Maldonado, R. Schmidt, and J. Habetha, “Wavelet transform and

simplicity based heart murmur segmentation,” Proc. Computers in Cardiology, Valencia, pp. 173–176,Spain, 2006

19. Diddi Sandeep Vara Sankar, Lakshi Prosad ARoy, “Principal Component Analysis (PCA) Approach to Segment Primary

Components from Pathological Phonocardiogram" IEEE International Conference on Communication and Signal Processing,

2014, pp. 910 - 914.

20. Hadjileontiadis L.J, Rekanos I.T, “Detection of Explosive Lungs and Bowel Sounds by means of Fractal Dimensions”, IEEE

Signal Processing Letters, 2003, pp. 311–314.

21. Steven M. Kay, “Fundamentals of Statistical Signal Processing, Estimation Theory”, volume 1, 2010.

22. S. F. Yau and Y. Bresler, "A compact Cramer-Rao bound expression for parametric estimation of superimposed signals," IEEE

Transactions on Signal Processing, volume 40,1992, pp. 1226-1230

23. Variety of Heart Sound signals taken from Easyauscultation

24. Chengyu Liu et al “An Open Access Database for the Evaluation of Heart Sound Algorithms”Physiological Measurements,

volume 37, number 12, 2016.

25. Ajith Kumar P C, T V Ananthapadmanabha, “Heart Rate Variability using Shannon Energy”, SASTECH, volume 2, November

2006, pp. 23-26.

4.

Authors: Sreekanth Kavuri, Vedavathi Katneni

Paper Title: Finding Page Rank using Transition Matrix and Random Vector

Abstract: Today, the web is growing at a very fast and rapid rate. Also, there is afast growth in using of the

internet compared with a past years. Due to the dynamic nature of web, the information on the internet in form

of pages is added and removed in no time. The information on the web had become very important and a large

amount of information is hidden inside the web. Getting the information, which is in need has become very

difficult. Hence mining of the web data deeply in-terms of the content, structure, and usage is necessary. The

search engines, in general, give us a list of web pages for user queries. For the users to move on that list

comfortably a ranking mechanism is applied. Many of the rank basedmechanisms are based upon content-based

or link-based. Analgorithm is proposed to find the rank of the mined web pages is presented in this paper. The

proposed algorithm is compared and analysed with existing mining algorithms namely page rank and HITS

algorithms. This paper highlights respective strengths, weaknesses, variations, and carefully analyses all the

algorithms with an example. The added feature of the algorithm is that the most valuable page of the list, which

is given by the search engine, is displayed at the top of the list.

Keyword: Page Rank, HITS, Random Vector, Graphs, Web mining. References:

1. Keita Sugihara, “Using Complex Numbers in website ranking calculations A non-ad Hoc Alternative to Google’aPangeRank”, in

Journal of Software, February 2019.

2. Nguyen Thon Da, Tan Hanh, Pham Hoang Duy, “Improving web page access predictions based on sequence prediction and

PageRank algorithm”, in Interdisciplinary of Information, Knowledge, and Manegemnt”, January 2019.

3. S. Haseena, R. Latha, A.M .Bharani, “Scalable Ranking based Web Pages and Semantic Search”, in International Journal of

management, Technology and Engineering”, September 2018.

4. Shadab Irfan, Subhajit Ghosh, “Web Mining for Information Retrivel” in International Journal of Engineering Science and

Computing, 2018

5. ShilpaSeti, Ashutosh Dixit, “A Novel Page Ranking Mechanism Based on User Browsing Patterns” in Springer, June 2018

6. JinalV.Patel, Prof. Rimi Gupta, “Survey on Different Page Ranking Algorithms Based on Links and Time” in International

Journal of Innovative Research in Computer and Communication Engineering, January 2017

7. Li, C., Han, J., He, G., Jin, X., Sun, Y., Yu, Y., Wu, T., 2010. Fast Computation of SimRank for Static and Dynamic Information

Networks. Published in ACM, Print ISBN No: 978-1-60558-9045-9, on 22-26 March 2010.

8. L. Page, S. Brin, R. Motwani, and T. Winograd, “The Pagerank Citation Ranking: Bringing order to the Web”. Technical report,

Stanford Digital Libraries, SIDL-WP- 1999-0120, 2009

9. Duhan, N., Sharma, A.K., Bhatia, K.K,“Page Ranking Algorithms: A Survey”. Proceedings of the IEEE International Conference

on Advance Computing. Centric Systems and Applications). Springer-VerlagNewYork, Inc., Secaucus, NJ, USA. 2009.

10. Kleinberg J. “Authorative Sources in a Hyperlinked Environment". Proceedings of the 23rd annual International ACM SIGIR

Conference on Research and Development in Information Retrieval, 1998

11. W. Xing and Ali Ghorbani, “Weighted PageRank Algorithm”, Conference IEEE, 2004.

12. J. Han, M. Kamber, and J. Pei, Data mining: concepts and techniques: concepts and techniques. Elsevier, 2011.

13. Jaideep Srivastava, PrasannaDesikan, Vipin Kumar, “Web Mining - Concepts, Applications & Research Directions”

14. Bing Liu., 2006. Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

23-27

5.

Authors: Anni Priyanka, Allu Venkateswara Rao, Dharma Raj Cheruku

Paper Title: At-Home Medical Equipment for the Physically Impaired using ZigBee and GPS Conrole

Abstract: In the absence of anyone, old people and people who depend on others may fall down accidentally

due to lack of strength. Durable Medical Equipment (DME) is medical equipment installed at home. The

proposed system helps in activating and sending the DME to the nearby hospital which can save a patient’s life.

This system has two sections. One is the multiple Zigbee transmitting section installed at home which includes

28-31

http://www.easyauscultation.com/

the DME and sensors and the other section is the Zigbee receiver present at the hospitals. Also, this system is

independent of current-infrastructure such as cell-towers, internet etc. In case of any power outage for many

days during any natural disaster, the patient status is sent through Zigbee protocol. The proposed system is

designed by using ARM 32-bit microcontroller. This system includes GPS, ZIGBEE, temperature sensor and

heart beat sensor modules. All these modules are attached to the target patient at home. The GPS finds out the

location of the patient. The heart beat sensor gives the output in digital form when we kept the finger on the sensor. The room temperature was sensed by the temperature sensor. Once the controller gets the information

from these devices, the information is sent over the Zigbee protocol to the Zigbee receiver section and allows the

nearby hospital staff know about the condition and location of patient.

Keyword: GPS, DME, ZigBee, LM35 sensor, Heartbeat Sensor, LCD. References:

1. Priya.u , Thakare, “smart assistance system for the visually impaired”. International journal of scientific and research

publications, 7:12 (2017)

2. Guojin Li, Jing, “Application of the medical care system based on ZigBee technology”, Electrical and Electronics

Engineering, IEEE Symposium (2012).

3. G. Balakrishna, G. Sainarayana, “A stereo image processing system for visually impired”.

4. Durable medical equipment http://en.wikipedia.org/wiki/Durable_medical_equipment.

5. Prof. Priya U ,Thakare, Kote Shubam,etl; “Smart assistance system for visually Impaired, International journal of scientific

and research publications, vol:7, issue 12 (2017).

6.

Authors: C. Srinivasa Murthy, K. Tarakeswara Rao, K Sridevi

Paper Title: Approximate Speculative Adder for Low Power VLSI Architectures

Abstract: Approximate Speculative Adder (ASA) for low energy dissipation is proposed in this paper. To

enhance the speed of operation pipelining technique is been employed and also to lower the critical path delay

utilization of logic gates are also reduced. The structure employs carry look ahead logic for adder

implementation. Different configurations have been examined for area and speed. The prime aim lies for

lowering the dissipative energy. Also clock skew technique is employed to save the dynamic power

consumption. The structure is been analyzed with FPGA and also realized with ASIC. Analysis of results states

about the performance of ASA can operate at higher speed than the existing structures. The structure absorbs 5.109 mm2 of chip space. The proposed Approximate Speculative Adder consumes 52.75% of power

Keyword: Approximate speculative adder, carry look ahead adder, pipelining. References: 1. Rahul Shrestha “High-Speed and Low-Power VLSI-Architecture for Inexact Speculative Adder”.IEEE2017

2. Y. Chen et al., “Variable-latency adder (VL-adder) designs for low power and NBTI tolerance," IEEE Transaction Very Large Scale

Integration (VLSI) System, vol. 18, no. II, pp. 1621-1624, Nov. 2010.

3. W.L. Goh et al.,“An Enhanced Low-power High-speed Adder for Error-tolerant Application,” 12th International Symposium on

Integrated Circuits (ISIC), pp. 69-72, 2009.

4. R. Krishnamurthy, et al., “Comparison of high performance VLSI adders in the energy-delay space”, IEEE Trans. Very Large Scale

Integr.Syst, (VLSI) vol. 13, no. 6, pp. 754–758, Jun. 2005

5. M. Gautschi, and F. K. Gurkaynak et al., “Approximate 32-bit floating-point unit design with 53% power-area product reduction,” in

European Solid-State Circuits (ESSCIRC), 42nd IEEE Conference, Sept. 2016, pp. 465–468.

32-34

7.

Authors: Jagadish Gurrala, Pasala Sanyasi Naidu

Paper Title: A Secure Framework for Communicating Multimedia Data in Cover Images using Hybrid

Steganography Algorithms in Wireless Local Area Network

Abstract: This paper presents a critical analysis on new and original proposed algorithm based on hiding any

data has been used that overcomes the disadvantages of the existing algorithms and helps to provide less

similarity between cover image and stego image and obtain accuracy upto 69.6 percentage and increases its

robustness using metrics called mean square error and peak signal to noise ratio. In the wireless environment cryptography suffers from various spyware programs that shows corrupted secret information to innocent users

who uses image steganography services from user. In our proposed prototype helps to authenticate the sender to

make the unnoticeable image from original image. In our proposal work discovers a secure authentication

communication model would able to cover multimedia data like first text to be hide, second image to be hide and

third audio secret data to be hide in cover image without much noticed to any user in between network. The

proposed algorithm has been tested against various existing algorithms to develop how effectively the hybrid

steganography algorithm is works, and how effectively it is overcoming the drawbacks of the present image

steganography algorithms. The present work is projected to serve the purpose of prevention of changing secret

data in cover image after evaluating the distraction values using PSNR and RMSE quality metrics under various

image data set taken from facebook shared images . In the scientific investigation, researchers found that three

reasons to show that given secure communication is successfully designed with the help of hybrid steganography algorithm that could break attackers intention using TLNUS merged with AES and Key based positioning

system[4] gain access the sensitive information available in remote system

Keyword: Image steganography, TLNUS, KPS, Wireless LAN Wide Area Network. References:

35-43

http://en.wikipedia.org/wiki/Durable_medical_equipment

1. F. Johnson,Sushil Jajodia, "Exploring Steganography: Seeing the Unseen", publised in IEEE, 1998, pp 26-43.

2. jagadish, P sanyasi naidu, published paper "Scalable Methodology to Hide Audio Data in Cover Image using RGB and Gray

Color based Key Positioning Image Steganography",IJRTE, ISSN: 2277-3878, Volume-8 Issue-3, September 2019.

3. Moni Naor and Adi Shamir, “Visual cryptography. in Proceedings of Advances in Cryptology”, EUROCRYPT 94, LNCS Vol.

950, pages 1- 12. Springer - Verlag, 1994.

4. P.Sanyasi Naidu, J Gurrala “Investigation and analysis of Location Based Authentication and Security Services of Wireless

LAN’s and Mobile Devices”, published in IJCA ,Volume 146,Number 8 (ISBN: 973-93-80893-84-7 , July2016.

5. W Bender, “Echo Hiding", D Gruhl, A Lu, in Information Hiding, Springer Lecture Notes in Computer Science v 1174 (1996) pp

295- 315.

6. Nameer El-Emam., et al, "New data-hiding algorithm based on adaptive neural networks with modified particle swarm

optimization”, Elsevier 2015, computers & security 55 (2015) pp21–45.

7. A. Cheddad, J. Condell, K. Curran, & P. McKevitt, “Digital image steganography: survey and analysis of current methods”,

Signal Processing, 90(3), 727-752, 2010.

8. El-Emam, N., Al-diabat, M., “A novel algorithm for colour image steganography using a new intelligent technique based on three

phases,” Applied Soft Computing, Vol. 37, pp. 830–846, 2015.

9. J Gurnsey, Aslib Gower, “Copyright theft”, IEEE, 1995.

10. Akhshani A, Akhavan A, Mobaraki A, Lim S, Hassan Z. "Pseudo random number generator based on quantum chaotic map"

Commun Nonlin Sci Numer Simul 2014;19(1):101–11. doi:10.1016/j.cnsns.2013.06.017.

11. Ali L, Aris I, Hossain F, Roy N. Design of an ultra high speed AES processor for next generation IT security. Comput Electr Eng

2011;37(6):1160–70. doi:10.1016/j.compeleceng.2011.06 .003.

12. Bedi P, Bansal R, Sehgal P. Using PSO in a spatial domain based image hiding scheme, with distortion tolerance. Comput Electr

Eng 2013;39(2):640–54. doi:10.1016/ j.compeleceng.2012.12.021.

13. Beheshti Z, Shamsuddin S, Hasan S. MPSO: Median-oriented Particle Swarm Optimization. Appl Math Comput

2013;219(11):5817–36. doi:10.1016/j.amc.2012.12.013.

14. Cetin O, Ozcerit A. A new steganography algorithm based on color histograms for data embedding into raw video

streams.Computers & Security 2009;28(7):670–82. doi:10.1016/ j.cose.2009.04.002.

15. Qian Z, Zhang X. Lossless data hiding in JPEG bitstream. J Syst Softw 2012;85(2):309–13. doi:10.1016/j.jss.2011.08.015.

16. Qin C, Chang C, Liao L. An adaptive prediction-error expansion oriented reversible information hiding scheme. Pattern Recognit

Lett 2012;33(16):2166–72. doi:10.1016/ j.patrec.2012.08.004.

17. Qu Z, Chen X, Zhou X, Niu X, Yang Y. Novel quantum steganography with large payload. Opt Commun 2010;283(23):4782–6.

doi:10.1016/j.optcom.2010.06.083.

18. Rabevohitra FH, Sang J. High capacity steganographic scheme for JPEG compression using particle swarm optimization. In

Proceedings of International Conference on Material Science and Information Technology,Volume 433–440, Singapore; 2012,

5118–22. doi:10.3844/jcssp.2007.223.232.

19. RG van Schyndel, AZ Tirkel, "A Digital Watermark", CF Osborne, in International Conference on Image Processing,

(IEEE,1994) v 2 pp 86-90.

20. P Wayner, "Disappearing Cryptography| Being and Nothing on the Net', AP Professional (1996).

8.

Authors: K. S. Chakradhar, Inumula Veeraraghava Rao, DT. Durga Prasad, P.Raju, V. Malleswara Rao

Paper Title: Wearable Textile Patch Antenna for Medical Applications

Abstract: : In recent years of electronics industrialization, antennas are more popular components; wearable

antennas play an important role due to their properties such as wireless communication and miniaturization. The

design of wearable antennas have distinction in the area of antenna design and development, in this paper a

thorough study had been carried out wearable antennas blended with textile, which has significant dielectric constant. This work describes the design a textile antenna, namely, a rectangular microstrip patch antenna and

then rectangular with U-slot antenna with slits. After designing two kinds of antennas, a comparison will be

made between their results. Conductive textile, a copper-plated polyester fabric, will be used for fabricating

antenna radiators and grounds. An insulating denim fabric with dielectric constant 1.7 with a thickness of 0.7 is

used for preparing the substrates. The proposed antenna is designed and all the results will calculated using

Ansoft HFSS Software. After evaluating the results of a rectangular microstrip antenna and U-slot Antenna on

textile substrate, the rectangular patch resonate at 2.5 GHz with the return loss of -16.86dB and the U-slot

Antenna resonated at 2.2 GHz with return loss of -41.68dB and 3.9 GHz return loss of -16.16dB.

Keyword: : wearable, textile antenna, wireless communication, Medical applications Microstrip, Antenna,

microwave, HFSS References:

1. C. A. Balanis, ‘AntennaTheory’, JohnWiley and Sons, 3rd edition, 2005

2. H Singh, “Electromagnetics and Antenna”, Katson publications, Delhi, 2nd edition.

3. Kuo-Shen Chi, Chi-Shen Wu, ‘Designs of textile antenna arrays for smart clothing applications’, june 2018

4. Sudhir Shrestha, Mangilal Agarwal,“Microstrip Antennas for Direct Human Skin Placement for Biomedical Applications”july

2010 .

5. Chan Hwang See and Khalid G Samarah “A Printed Widebands MIMO Antenna for Mobile and Portable Communication

Device”, APACE 2003. Asia-Pacific Conference on Applied Electromagnetics, pp: 38 :41, 2003.

6. K. Kwon and J. Chi. “Antenna for Wireless Body Area Network,”7th European Conferences on Antennas and Propagation

(EuCAP),2013. pp.375-379.

7. Lim. E.G. Z. Wan, M. Leach, ZhouR, K. L. Man and N. Zhang,’Compact Size of Textile Wearable Antenna’, Proceedings of

The International MultiConference of Engineers and Computer Scientists 2014, IMECS 2014, 12-14 March, 2014, Hong Kong,

pp:870:873.

8. S. Movassagh, M. Abolhasan, J. Lipman, “Wireless Body Area Network: A Survey”, IEEE Communication Survey &

Tutorials:2013. p.1-20

9. Sweety Purohits and Falguni Rava, “Wearable-Textiles Patch Antennas using Jean as Substrated at 2.45GHZ” International

Journal of Engineering and Technology ,ISSN : 2278:0181 , Vol:3,Issue -5,May:2014.

10. Abdullahi Ayegba, Wysenyuy Desmond, “Design of a 4.5 GHZ Rectangular Microstrip Patch Antenna”, International Journal of

Trends in Research and Development-Volume 4(3), ISSN : 2394:9333.

44-47

9. Authors: Chaya Shivalingegowda, Srinivas Chevula, V. Y. Jaya Sree

Paper Title: High-Performance Computing using Apache Ignite Hadoop Accelerator

Abstract: Recently, IT has popularized the term high performance computing. In STEM High Performance

Computing is used not only to model complicated calculations, but also to improve the applications, reduce costs

and reduce development times, in order to solve large problems, in a much higher level of performance than a

normal computer. In simple terms, the memory computing primarily relies on keeping data in the RAM as

storage implies at high speeds. The HPC allows big data to be processed as quickly as possible.

Keyword: Big Data,High Performance , Apache Ignite, RAM References:

1. Santos, Adrián, Francisco Almeida, and Vicente Blanco. "Lightweight web services for high performace computing." European

Conference on Software Architecture. Springer, Berlin, Heidelberg, 2007..

2. Distributed Persistence Ignite https://ignite.apache.org/arch/persistence.html

3. In-Memory Database Ignite https://ignite.apache.org/use-cases/database/in-memory-database.html

4. Data Streamers Stream large amounts of data into Ignite caches.https://apacheignite.readme.io/docs/data-streamers

5. Zavala-Aké, J. Miguel. "A high-performace computing tool for partitioned multi-physics applications." (2018).

6. LI, Cheng-hua, et al. "MapReduce: A new programming model for distributed parallel computing [J]." Computer Engineering &

Science 3 (2011): 026.

7. Bingxiang, Gui, and Feng Hongcai. "An New Data Parallelism Approach with High Performace Clouds." 2009 Pacific-Asia

Conference on Circuits, Communications and Systems. IEEE, 2009

48-52

10.

Authors: P. Sirish Kumar, L. Ganesh, Ashok Kumar. N, V.B.S Srilatha Indira Dutt

Paper Title: GPS Receiver Position Interpretation using Single Point PVT Estimation Algorithm

Abstract: In our day-to-day lives, we need to get the correct GPS location information. GPS is based on the

calculation of the pseudo-range and four unspecified parameters, but the formula is not linear in navigation

observation. A single point position algorithm can solve the nonlinear equation; the algorithm is based on Taylor

linearization. This paper provides an overview of the single point PVT algorithm and presents the GPS satellite

pseudo-range observation equations, typically over-determined as there are only four unknown satellites, but

generally, more than four are monitored and thus more than four pseudo-range observation equations. Single point PVT estimation algorithm is used to solve pseudo range observation equations in order to find position and

clock bias solutions are described in detail. In this article, the position of GPS receiver is estimated w.r.t. to X,

Y, ZCoordinates, in addition to that clock bias also estimated.

Keyword: clock bias, GPS, Pseudo-Range, Single point PVT. References:

1. Xiaojing Du, Li Liu, Huaijian Li, “Experimental Study on GPS Non-linear Least Squares Positioning Algorithm”, 2010

International Conference on Intelligent Computation Technology and Automation.

2. G.S.Rao “Global Navigation Satellite Systems” 1st edition, India, Tata Mc-Graw Hill 2010.

3. Li Liu et al., “Experimental Study on GPS Non-linear Least Squares Positioning Algorithm”, ICICTA, IEEE CS, 2010.

4. Novatel,“GPS Position Accuracy Measures”, APN-029 Rev 1,December 2003.

5. Brian J.Odelson, Murali R.Rajamani and James B. Rawlings, “A New Auto covariance Least-Squares Method for Estimating

Noise Covariances”, Texas-Wisconsin Modeling and Control Consortium (TWMCC), Technical report number 2003-04.

6. P. Sirish Kumar, V.B.S. Srilatha Indira Dutt,” Evaluation of GPS Receiver Position Accuracy Improvement Using Least Squares

Estimator over the South Zone of Indian Subcontinent”, Jour of Adv Research in Dynamical & Control Systems, Vol. 11, No. 6,

2019

53-57

11.

Authors: V. Madhu Kumar, T. V. Ramana, Rajidi Sahithi

Paper Title: User Content Delivery Service for Efficient POMA based LTE Channel Spectrum Scheduling

Algorithm

Abstract: Currently Long-Term Evolution (LTE) technologies are developing with an advanced network

content delivery infrastructure sharing capabilities for different users and operators. Therefore, an efficient

open-infrastructure of Position-orthogonal multiple access (POMA) based LTE networks with the content

delivery capability is crucial to design and implement at this stage of research in LTE area. In this paper, the

main contribution is the design and implementation of such LTE networks users open-infrastructure to enable

the content delivery and sharing capabilities to be performed in virtual iterative precoding architectures. The proposed user content delivery infrastructure enables this service and sharing to the components of LTE

architecture. A channel spectrum scheduling algorithm has been implemented through validation with test level

experiments conducted to estimate the compatibility of LTE infrastructure virtualization in proposed open-

infrastructure. The impact and scope of the proposed algorithm service can make the operational cost of the LTE

mobile user to reduce.

Keyword: Long-term evolution (LTE), channel, service, sharing, scheduling References:

1. V. M. Kumar and T. V. Ramana, "Position-based Fully-Scheduled Precoder Channel Strategy for POMA Structured LTE

Network," 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT),

Coimbatore, India, 2019, pp. 1-8.

2. V. M. Kumar and T. V. Ramana, "Virtual Iterative Precoding Based LTE POMA Channel Estimation Technique in

Dynamic Fading Environments," 2019 International Journal of Innovative Technology and Exploring Engineering (IJITEE),

ISSN: 2278-3075, Volume-8 Issue-6, April 2019, pp. 588-593.

58-61

https://ignite.apache.org/arch/persistence.html

https://ignite.apache.org/use-cases/database/in-memory-database.html

3. C. Siqian, “Research on radio resource scheduling algorithm in LTE system,” Harbin Institute of Technology, pp. 120–135,

2010.

4. L. Chen, J. Lu, and C. India, “LTE based on QoS business proportional fair scheduling algorithm,” Optical Communication

Research, vol. 5, pp. 64–67, 2012.

5. Ningzhe Xing, "Resources Scheduling Algorithm in Power Wireless Private Network Based on SDON", Hindawi,

International Journal of Optics, Volume 2017, Article ID 2064638, 8 pages.

6. P. Y. Chang, J. M. Liang, J. J. Chen, K. R. Wu, and Y. C. Tseng, “Spatial and temporal aggregation fo r small and massive

transmissions in LTE-M networks,” in Proceedings of the IEEE Wireless Communications and Networking Conference,

WCNC, San Francisco, CA, USA, March 2017.

7. D. Zhang, G. Li, K. Zheng, X. Ming, and Z. H. Pan, “An energy-balanced routing method based on forward-aware factor

for wireless sensor networks,” IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 766–773, 2014.

12.

Authors: K. V. R. Swathi, U. Salma.

Paper Title: Performance of Various SiC Devices and their Behavior in DC/DC Converter

Abstract: An extensive research on nano materials was carried out and the properties of Si were studied, Post

study it was felt that there must be a material which exhibits semiconducting properties of Si with high

breakdown voltage and work till high temperature range. Silicon Carbide (SiC) devices provided the answer for

this. These devices are well known for high frequency, high voltage, high temperature and high power for their

good material properties compared with silicon power MOSFET. In this paper, a study was conducted on

various Silicon Carbide devices available in the market and the comparative performance of these devices were

analysed. Furthermore there is a comparison of N channel silicon MOSFET device and silicon carbide device

placed in bidirectional DC/DC buck converter in which Silicon Carbide device exhibit superior properties than

Si device.

Keyword: Silicon carbide devices, bi directional dc/dc buck converter, Silicon Mosfet, Power loss References:

1. High-Frequency PWM Buck Converters Using GaN-on-SiC HEMTs, IEEE transactions on power electronics’, VOL. 29,

NO. 5, May 2014 work done by Miguel Rodrguez Yuanzhe Zhang, Dragan Maksimovic,

2. 2. K.V.R.Swathi & U.Salma “Characterization of SIC in Buck and Design of Buck with Coupled Inductor for High

Efficiency in Robotic Applications”Jour of Adv Research in Dynamical & Control Systems, Vol. 10, 10-Special Issue, 2018

3. 3. “A PWM plus phase shift control bidirectional DC-DC converter,” IEEE Transactions on Power Electronics, 19(3), 2008

D. Xu, C. Zhao, & H. Fan

4. 4. Control of interleaved synchronous PWM buck converters, Control and Intelligent Systems, 36(4),2008 by H.E. Fadil

& F. Giri, Robust

5. 5. High efficiency buck led driver using SiC,1st international conference on power engineering ,computing and control,

Science Direct Energy procedia117(2017) Pg 224-235 by R.Srimathi, S.Sitoke, S.hemamalini,

6. 6. Rohm Semiconductors, SiC Power Devices and Modules, Application note, Issued in August 2014, 14103EBY01.

7. 7. Hangseok Choi, Overview of Silicon Carbide Power Devices, Fair child Semi conductor industry.

8. 8. L. Ravi, E. Severson, S. Tewari, N. Mohan, “Circuit-level characterization and loss modeling of SiC-based power

electronic converters,” in Industrial Electronics Conference (IECON), 2014 IEEE, Oct 2014.

9. 9. M. Briere, “The power electronics market and the status of GaN based power devices,” in Compound Semiconductor

Integrated Circuit Symposium (CSICS), 2011 IEEE, Oct 2011, pp. 1–4.

62-67

13.

Authors: G Raja Kullayappa, Shahid Ali, A Chandra Shekhar, P Kanaka Raju, C Mani Kumar

Paper Title: Development of IoT Based Meteorological Measurement System

Abstract: The atmospheric parameter sensing is pivotal in the forecasting of the weather. The meteorological

parameters like temperature, humidity and pressure are measured with the usage of sensors. The DHT11 sensor

is employed for measurement of humidity where as the BMP180 sensor is used for the monitoring of

temperature and atmospheric pressure. The sensors are interfaced to NodeMCU ESP-32S module. The humidity

sensor is interfaced with the single-wire two-way serial protocol and the pressure sensor is interfaced with the

I2C protocol. The Arduino IDE is employed for scripting the software of the system. The developed prototype is connected to IoT with the help of inbuilt Wi-Fi module in the NodeMCU EPS-32S. The data collected is

portrayed on a web page developed in the IDE. The system is compact and easy to use with its plug and play

nature. The prototype can be deployed over various areas such as home automation, industries, healthcare

centers.

Keyword: Atmospheric pressure sensor, Humidity sensor, Arduino IDE, I2C, Temperature. References: 1. A. M. Zungeru, M. Mangwala, J.Chuma, B. Gaebolae, and B. Basutli, “Design and simulation of an automatic room heater control

system,” Heliyon, Vol. 4, Issue 6, 2018, pp. 1–17, Doi: https://doi.org/10.1016/j.heliyon.2018.e00655.

2. E. Longo, A. E. C.Redondi, M. Cesana, “Accurate occupancy estimation with WiFi and bluetooth/BLE packet captur,” Computer

Networks, Vol. 163, 2019, pp. 1-10. Doi: https://doi.org/10.1016/j.comnet.2019.106876.

3. P. P. Ray, Internet of Things cloud enabled MISSENARD index measurement for indoor occupants, Measurement, Vol. 92, 2016,

pp. 157-165. Doi: https://doi.org/10.1016/j.measurement.2016.06.014.

4. V. Siniveea, L. Kurika, and T. Kalamees, “A simple adaptive ventilation controller for mediaeval church,” Energy Procedia, Vol.

132, 2017, pp. 957-962. Doi: https://doi.org/10.1016/j.egypro.2017.09.674.

5. Gavlas A., Koziorek J., Rakay R. (2020) Comparing of Transfer Process Data in PLC and MCU Based on IoT. In: Zelinka I.,

Brandstetter P., Trong Dao T., Hoang Duy V., Kim S. (eds) AETA 2018 - Recent Advances in Electrical Engineering and Related

Sciences: Theory and Application. AETA 2018. Lecture Notes in Electrical Engineering, vol 554.

6. Springer, Cham. https://doi.org/10.1007/978-3-030-14907-9_38

7. J. Devine, J. Finney, P. Halleux, M. Moskal, T. Ball, and S. Hodges “MakeCode and CODAL: Intuitive and efficient embedded

systems programming for education,” Journal of Systems Architecture, Vol. 98, 2019, pp. 468-483. Doi:

68-71

https://doi.org/10.1016/j.egypro.2017.09.674

https://doi.org/10.1016/j.sysarc.2019.05.005.

8. I. González, A. J. Calderón, “Integration of open source hardware Arduino platform in automation systems applied to Smart

Grids/Micro-Grids,” Sustainable Energy Technologies and Assessments, Vol. 36, 2019. Doi:

https://doi.org/10.1016/j.seta.2019.100557.

9. S. Oberloier, J. M. Pearce, “Open source low-cost power monitoring system,” HardwareX, Vol. 4, 2018. Doi:

https://doi.org/10.1016/j.ohx.2018.e00044.

14.

Authors: R. Chinna Rao, D. Elizabath Rani, S. Srinivasa Rao

Paper Title: Significance of Vocoders in Mobile Communication

Abstract: Signal Processing finds its applications in many fields of engineering like Communications,

Multimedia processing like audio, speech, video compression. It is the constant endeavor in compression

techniques to retain highest quality of media through lowest bits so that communication band width utilization

can be maximized. The most basic form of end user communication in the mobile industry has been voice calls.

Speech signals captured at the microphone are sampled at 8 or 16 KHz and using 16 bits per sample presents 128

KHz of information. Transmitting all of it is very inefficient usage of the communication channel. There are

multiple ways to encode the speech input at lower bit rates using Source Coding and Waveform coding

techniques. This paper is scoped to practically simulate some of the basic and advanced signal processing

concepts and apply them to the speech signal processing domain to minimize the vocoders packet exchange bit

rate. Existing techniques are studied and a new schema is proposed which reduce the vocoders packet exchange

bit rate further.

Keyword: Formant, Larynx, Vocal tract, Phonology, Velum, Liner predictive coding. References:

1. Usman, M., Zubair, M., Shiblee, M., Rodrigues, P., Jaffar, S.“Probabilistic modeling of speech in spectral domain using maximum

likelihood estimation”, Symmetry, 10(12) Volume 10, Issue 12 , pp.1-15, 2018.

2. J. P. Campbell, Jr., “Speaker Recognition: A Tutorial”, Proceedings of The IEEE, Vol.85, No.9, pp.1437-1462, Sept.1997.

3. Koji Kitayama, Masataka Goto, Katunobu Itou and Tetsunori Kobayashi,“Speech Starter: Noise-Robust Endpoint Detection by

Using Filled Pauses”, Eurospeech 2003, Geneva, pp. 1237-1240.

4. S. E. Bou-Ghazale and K. Assaleh, “A robust endpoint detection of speech for noisy environments with application to automatic

speech recognition”, in Proc. ICASSP2002, vol. 4, 2002, pp. 3808–3811.

5. Martin, D. Charlet, and L. Mauuary, “Robust speech / non-speech detection using LDA applied to MFCC”, in Proc. ICASSP2001},

vol. 1, 2001, pp. 237–240.

6. K. Ishizaka and J.L Flanagan, “Synthesis of voiced Sounds from a Two-Mass Model of the Vocal Chords,” Bell System Technical

J., 50(6): 1233-1268, July-Aug., 1972.

7. Gopatoti, A., Ramadass, N. “Performance of adaptive subband thresholding technique in image denoising”, Journal of Advanced

Research in Dynamical and Control Systems, Vol. 9, No. 12, (2017), pp.151-157.

8. Atal, B.; Rabiner, L., “A pattern recognition approach to voiced-unvoiced-silence classification with applications to speech

recognition” Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on ,

Volume: 24 , Issue: 3 , Jun 1976, Pages: 201 - 212.

9. Billa, P., Gopatoti, A. “3D MR images denoising using adaptive blockwise approached non-local means (ABNLM) filter for

spatially varying noise levels”, International Journal of Innovative Technology and Exploring Engineering, Vol.8 No. 4(2019),

pp.112-118.

10. Raviteja, M.L., Nagaraju, N., Gopatoti, A., Paparao, N.,” Processing algorithm and data acquisition for laser range sensor”,

International Journal of Innovative Technology and Exploring Engineering, Vol.8 No. 3(2019), pp.53-57.

72-76

15.

Authors: P. Kanaka Raju, C. Kavitha, C. Mani Kumar, D. Rama Krishna

Paper Title: Examination of a Fabricated Impedance Meter by Analysing the Electrical Properties of

Ni0.65Zn0.35Fe2O4 (Ferro-Magnetic) Material

Abstract: Impedance (Z) may be defined as the total opposition by a component (or electronic material) that

offers to the AC (alternating current) at an applied signal frequency, parameters of impedance are utilized to

analyze materials/electronic components characteristics. Impedance/LCR measuring instrumentation are costly

or either do not enough accuracy and may have limited frequency range. There are many impedance

measurement methods, each of which has their own pros and cons. While considering factors like frequency

range, measurement band width, accuracy in measurement and its ease of operation, there is no single impedance measurement instrument that includes all these parameters. This research article describes a

handy/portable impedance meter that depends on auto balancing bridge technique, which is capable of making

impedance parameter measurements up to 20 Mhz frequency. An analog frequency generator was made up of

max038 (IC) which stimulates the impedance measurement circuit that was composed of reference and also the

impedances that are unknown. The applied frequency through the impedances (electronic materials) and their

electronic parametrics like inseries inductance (Ls), inparallel capacitance (Cp) and inseries resistance (Rs)

along with some sub-parameters were first digitalized and then displays. The fabricated impedance meter’s

performance was analysed by correlating the results obtained by it, with the results of a commercially available

impedance instrument-the Newton 4th limited, NumetriQ, Model no. PSM-1735, for different composite

electronic materials, some of them are multi-ferrites, ferroelectric and ferro-magnetic, materials. For every

material, the error percentage was analysed; which is less than 3% was observed. In this paper, Ni0.65Zn0.35Fe2O4 -Ferro-magnetic material’s both thermal properties and electrical properties were analysed

by fabricated and by the commercial instruments. Results are tabulated and then graphs are plotted.

Keyword: Impedance measurement, Frequency source, Auto balancing bridge, Ni0.65Zn0.35Fe2O4,

Performance analysis, Percentage of error.

77-81

References: 1. J. Bohacek, IEEE Trans. Instr. Meas., volume 53, No. 4, 2004, pages: 977-980

2. S. A. Awan, et al, IEEE Trans. Instr. Meas., volume 50, No. 2, 2004, pages: 282-285

3. N. Oldham, et al, Conference Proceedings, volume 1–3 and Supplement, 1994 pages: 929–930

4. L. Min, et al, Conference on Precision Electromagnetic Measurements Digest, 2008, pages: 574–575

5. J. Santos, et al, 18 (2) (2011) pages: 185 – 198

6. H. Haruta, The impedance measurement handbook, Agilent Technologies, (2000)

7. T. Radil, et al, IEEE Trans. Instrumentation and Measurement, 57(1) (2008) pages: 197–204

8. Y. Sun, et al, Electrical Measurement & Instrumentation 7 (2012) pages 93–96

9. G. Zhang, Electronic Measurement Technology, 37 (2014) pages: 125–129

10. Y. J. Wang, Applied Mechanics and Materials, 313 (2013) pages: 1252-1255

11. H. Hu, Advanced Materials Research, 915 (2014) pages1167-1170

12. http://www.newtons4th.com/wp-content/uploads/2014/08/PSM1735- User-manual-v1-48.pdf

13. Davuluri Venkatesh, et al, Journal of Superconductivity and Novel Magnetism. 28 (2015) pages 2801-2807

14. P. Kanaka Raju, et al, IJARMATE. 3 (2017) pages 1-7

15. D. Joshi, D. et al, MAPAN-J. Metrol. Soc India. 24 (2009) 215–224

16. P. Kanaka Raju et al, Materials Today: Proceedings 5 (2018) pages:25782-25788

16.

Authors: Ramakrushna Panigrahi, Siba Prasad Mishra, P.V.Y.Jayasree

Paper Title: Waveguide Structures with Improved Cut-off Frequency and Bandwidth

Abstract: The wave transmission characteristics of rectangular, double-ridge, trapezoidal-ridge and anti-

trapezoidal ridge waveguides are analyzed using the finite-element method. The cut-off wavelength and

attenuation of these waveguides are calculated. The result shows that anti-trapezoidal ridge waveguides perform

better than rectangular, double-ridge and trapezoidal-ridge waveguides. The variation of bandwidth and attenuation with respect to change in the angle of physical ridge structures has been studied while migrating

from rectangular to anti-trapezoidal ridge structures.

Keyword: waveguides; cut-off frequency; attenuation; rectangular, double-ridged; trapezoidal; anti-trapezoidal. References:

1. S.H. Hajimowlana, H. Djahanshahi, and M. Kamyab, “Determination of Cut-off Wavelengths of Ridged Waveguides by Modal

Analysis,” IEEE Proc., MWSCAS, 40th ed., Vol. 1, Sacramento, USA, pp. 642-645, August 2002.

2. S. Hopfer, “The Design of Ridged Waveguides,” IEEE Trans. Transactions on Microwave Theory and Techniques, 5th ed., vol.

3, pp. 20-29, October 1955.

3. Y.Utsumi,“Variational analysis of ridged waveguide modes,”IEEE

4. Trans. Microwave Theory Tech, vol.33(2), pp.111-120,1985.

5. M. Lu, P.J. Leonard, “Design of trapezoidal-ridge waveguide by finite

element method,” IEEE Proc., Microw. Antennas Propag., 3rd ed., vol. 151, Bath. UK, pp. 205–211, June 2004

6. Xiaoqiang Chen, Jie Li, “The Analysis of Attenuation of Trapezoid Ridge Waveguide by Finite Difference Time Domain,”,IEEE

Proc., IMCE,. Hohhot, China, pp.4494 – 4499, July 2011.

7. M.F.Iskander, M.A.K.Hamid, “Eigenvalues for a trapezoidal waveguide,”,IEEE Proc., The Radio and Electronic Engineer,. 11th

ed., vol. 44, Canada., pp.593–596, 1974.

8. Zhou Ping, Li Qing-bo, “Transmission Characteristics Analysis for Double Trapezoida-ridge Waveguide by the Vector Finite-

element Method,” IEEE Proc,. iCECE,. vol. 1, Wuhan, China, pp.4510-4512, June 2010.

9. C.S. Lee, S.W. Lee, and S.L. Chuang, “Plot of Modal Field Distribution in Rectangular and Circular Waveguides,” IEEE Trans.

MTT 33, 3rd ed., vol. 33, pp. 271–274, Marh 1985.

10. N. Marcuvitz, Waveguide Handbook. IET, McGraw Hill, 1986.

82-85

17.

Authors: A. S. Srinivasa Rao, M. Bala Krishna, P. Sirish Kumar, Ch. Chandrika, Jaganmohan Rao. T

Paper Title: Implementation of Hybrid Algorithm Based on NSCT for Medical Image Fusion

Abstract: The process of combining the two different modal images into one single image is multimodal

image fusion. The resulting image is helpful in the medical field for effective and better detection of disease and

the processing of images; surgery, tumor recognition, illnesses, etc. In the only modes of medical images, the

merged image attributes cannot be achieved and can be overcome with the image fusion of various modal

images.A new hybrid algorithm for directive multimodal image fusion will be built for this paper based on the

non-sub-sampled contourlet transformation. The images will be fuse through the use of the proposed techniques

and comparison with existing technological techniques, using quantitative and qualitative measures. MRI and

positron-emission tomography (PET) are used. Quantitative steps, like the Entropy (EN) and Structural Similarity Index (SSIM), will be taken to verify the algorithms.

Keyword: Entropy Fusion ,Image, NSCT, SSIM. References:

1. B.V.Dasarathy,”Information fusion in the realm of medical applications - a bibliographic glimpse at its growing appea”l,

Information Fusion 13(1):1-9, 2012.

2. Gyaourova, A., Kamath, C., & Fodor,I.K. "Undecimated wavelet transforms for image de-noising". Report, Lawrence Livermore

National Lab., CA, pp. 18, 2002

3. Kingsbury, N.G. (2001). “Complex wavelets for shift invariant analysis and filtering of signals”. Applied and Computational

Harmonic Analysis, Vol. 10, No. 3, pp. 234-253.

4. I.W. Selesnick,“The Double-Density Dual-Tree DWT,” IEEE Trans. Signal Processing, vol. 52, no. 5, pp. 1304–1314, May

2004.

5. Gonzalez, R. C. and Woods, R. E. and Eddins, S. L.”Digital Image Processing Using MATLAB”, Prentice Hall, 2004.

6. S. G. Mallat, “A Theory for Multiresolution Signal Decomposition: The Wavelet Representation”, IEEE Trans. on Pattern

Analysis and Machine Intelligence, 11(7), 1989, 674-693.

86-92

http://www.newtons4th.com/wp-content/uploads/2014/08/PSM1735-

https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4547924

18.

Authors: K. Renu, P. Rajesh Kumar

Paper Title: Mismatched Filter Design using Improved Cuckoo Search Algorithm for Optimum Detection

Abstract: In radar signal processing pulse compression has been extensively used which solves the problem of

maintaining simultaneously high transmit energy of long pulse and large range resolution of short pulse. The

concept of pulse compression can be best understood from matched filtering that determines the ratio of peak of

the sidelobe to peak value of mainlobe. But the resolution of weak targets from stronger one is difficult due to

range sidelobes in the auto-correlation pattern of matched filter. With this idea of reducing these sidelobes,

various optimization techniques are used. This paper represents a method to optimize the performance of chaotic

sequence using mismatched filter. The optimization completely depends on the design of coefficients of

mismatched filter at the receiver side. Here improved cuckoo search method is used instead of Lévy flight

cuckoo search with the differential evolution technique to complete the design of cascaded mismatched filter.

Finally, improved results are obtained as compared to Lévy flight method of cuckoo search. Keyword: Pulse Compression, Mismatched filter (MMF), Peak Sidelobe Ratio (PSLR), Improved Cuckoo

Search algorithm (ICS). References:

1. M I Skonik, “Introduction to Radar Systems” Tata McGraw Hill Book Co., New York, 3rd Ed., 2001.

2. [2] E Mozeson, N Levanon, Radar Signals, Hoboken, NJ: John Wiley & Sons, Inc.2004.

3. [3] A H Rahman, H Elbardawiny, A Sobhy, F M Ahmed and M Hassan, “A Novel sidelobe cancellation method for binary barker

code pulse compression,” Proceeding of 17th International conference on Aerospace sciences and aviation technology, ASAT-17,

11-13 April 2017, pp. 1-10.

4. [4] B kiranmai and P Rajesh kumar, “Performance evaluation of compound barker codes using cascaded mismatched filter

technique,” International Journal of computer applications, vol.121-no.19, July 2015, pp.31-34.

5. [5] Rohling, H., and Plagge, W., “Mismatched-Filter Design for Periodic Binary Phased Signals", IEEE Transactions on Aerosp

Electron. Systems, vol. AES-25, No.6, November 1989, pp. 890-897.

6. [6] C Nunn, “Constrained optimization applied to pulse compression codes and filters,” IEEE Int. Radar Conf., 9–12 May 2005,

pp. 190–194.

7. [7] N Levanon, “Cross Correlation of long binary signals with long mismatched filters,” IEE Proc.-Radar and Sonar navig., July

2005, pp.1-6.

8. [8] S Saremi, S Mirjalili and A Lewis, “Biogeography-based optimisation with chaos,” Neural Computing & Applications,

vol.25, no. 5, 2014, pp. 1077–1097.

9. [9] Z Y Guo, B Chen, M. Ye, and B. Cao, “Self-adaptive chaos differential evolution,” in Advances in Natural Computation:

Second International Conference, ICNC 2006, China, September 24-28, 2006. Proceedings, Part I, L. Jiao, L. Wang, X.-B. Gao,

J. Liu, and F. Wu, Eds., vol. 4221 of Lecture Notes in Computer Science, Springer, Berlin, Germany, 2006, pp. 972–975.

10. [10] R Ebrahim zadeh and M Jampour, “Chaotic genetic algorithm based on Lorenz chaotic system for optimization problems,”

International Journal of Intelligent Systems and Applications, vol. 5, no. 5, 2013, pp. 19–24.

11. [11] A H Gandomi, X S Yang, S Talatahari and A H Alavi, “Firefly algorithm with chaos,” Communications in Nonlinear

Science and Numerical Simulation, vol. 18, no. 1, pp. 89–98, 2013.

12. [12] K. Renu and P. Rajesh Kumar, "Performance of Ternary Sequences using Adaptive Filter," ICMEET-2017, Proceedings of

Springer conference LNEE series 471, 8-9 September 2017, pp.63-74.

13. [13] K. Renu and P. Rajesh Kumar, "Improvement in performance of Ternary Sequence using Binary Step Size LMS Algorithm,"

ICMEET-2018, Proceedings of Springer conference LNEE series 521. pp. 161-170.

14. [14] S Das, A Abraham and A Konar, “Particle Swarm Optimization and Differential Evolution Algorithms: Technical Ana lysis,

Applications and Hybridization Perspectives,” Studies in Computational Intelligence (SCI) 116, 2008, pp.1-38.

15. [15] P Srihari and K Raja Rajeswari, “Development and performance evaluation of PSO based adaptive mismatch filter for radar

pulse compression,” Proceedings of 9th international radar symposium India-2013, 10-14 December 2013, pp.1-4.

16. [16] X S Yang and S Deb, “Cuckoo search via Lévy flights,” in Proceedings of the World Congress on Nature & Biologically

Inspired Computing (NABIC ’09), IEEE, Coimbatore, India, December 2009, pp. 210–214.

17. [17] X S Yang and S Deb, “Engineering optimisation by cuckoo search,” International Journal of Mathematical Modelling and

Numerical Optimisation,” vol. 1, no. 4, 2010, pp. 330–343.

18. [18] A H Gandomi, X S Yang and A H Alavi, “Cuckoo search algorithm: a metaheuristic approach to solve structural

optimization problems,” Engineering with Computers, vol. 29, no. 1, 2013, pp. 17–35.

19. [19] L Huang, S Ding, S Yu, J Wang and K Lu, “Chaos-enhanced cuckoo search optimization algorithms for global

optimization,” Applied Mathematical Modelling, 2016, 40 (5), 3860–3875.

20. [20] R Salgotra, U Singh, S Saha, “New Cuckoo Search Algorithms with enhanced exploration and exploitation properties”,

Experts systems with Applications 95, Nov, 2017, pp. 384-420.

93-97

19.

Authors: M. Srinivasa Rao, Sreenievas Alluri, V. Madhav Reddy

Paper Title: Examination of Different PAPR Minimization Techniques for MIMO-OFDM System

Abstract: In this article an analysis on different PAPR minimizing schemes for MIMO-OFDM based wireless

communication systems like clipping, selective mapping (SLM) and Partial Transmit Sequence (PTS) are

presented. Several properties of OFDM maintain an appealing modulation scheme to support huge data rates in

MIMO-OFDM based transmission used in wireless communication system. Apart from several advantages one

principle drawback of the OFDM system is it produces huge values of PAPR. The PAPR can be minimized

using few schemes like clipping, coding, peak windowing and tone reservation. Simulation results can give the examination between the different PAPR reduction techniques and can give the scope for analyze the different

techniques based on different parameters like CCDF values and BER performance with respect to the variation

in number sub carriers used for transmission However, huge number of these plans are not able to give a huge

degradation in the PAPR by a low computational complexity, but the SLM technique provides essentially

better attainment than the other schemes for MIMO-OFDM systems.

98-101

Keyword: CCDF, MIMO-OFDM and PAPR References:

1. . Jiang and Wu Y, “An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM Signals,” Elsevier

publication,, June 2008, pp.257-268.

2. [2] G. Ren and et.al “A complementary clipping transform technique for the reduction of peak-to average power ratio of OFDM

system,” IEEE Trans., pp. 922–926, Nov. 2003.

3. [3] Lim D W, Seon J, Lim C W “A new SLM OFDM scheme with low complexity for PAPR reduction “ [J]. IEEE Signal,.

2005, 12(2) pp: 93-96.

4. [4] P. Cheng, Y. Xiao, L. Dan, S. Li, Improved SLM for PAPR reduction in OFDM system, in: Proc. 2007 IEEE Symp. Personal,

Indoor, and Mobile Radio Commun., pp. 1–5..

5. [5] L. Wang, C. Tellambura , “A simplified clipping and filtering technique for PAR reduction in OFDM systems”, IEEE Signal

Process. Lett. 12.

6. [6] Amritpal and Singh, Harjit Singh,” Peak to average power ratio reduction in OFDM system using hybrid technique”,

Elseiver,2015, Optik 127 (2016) 3368–3371.

7. [7] S. J. Ku, C. L. Wang and C. H. Chen, "A Reduced- Complexity PTS-Based PAPR Reduction Scheme for OFDM Systems,"

in IEEE Transactions on Wireless Communications, vol. 9, no. 8, pp. 2455-2460, August 2010..

8. [8] S.H.Leung et. al. “Algorithm for repeated clipping and filtering in peak-to-average power reduction for OFDM” Electronics

Letters, 5th December 2002, Vol. 38, No.25, pp.1726-1727

9. [9] E. Abdullah, A. Idris, and A. Saparon “PAPR Reduction Using SCSSLM Technique in STFBC MIMO-OFDM,” ARPN J.

Eng. Appl. Sci., 2017.

10. [101 JAYALATH, A.D., TELLAMBURA C, “SLM and PTS peak-power reduction of OFDM signals without side information’”,

IEEE Trans., 2005, 4, pp. 2006–2013

20.

Authors: Veera Raghava Swamy Nalluri, Vj.k. Kishor Sonti, Sundari.g

Paper Title: Impact of Signal Energy from Vedic Chanting on Human Neurological System

Abstract: The human neurological system has an effective impact by meditation, mantra therapy, music

therapy, Raga therapy and Vedic chanting. To detect this effect on Human Neurological system, it is necessary

to analyse the signal energy from the appropriate sources which are generating audible frequencies. By these

generated frequencies, the Central Nervous System of brain will be relaxed. This process follows, Calculation of

Special acoustic signals originated from Vedic Chanting, classification of these signals with respect to the levels

of amplitude and frequency, analysing the impact of these signal energies on the neurotransmission. It also focuses and involves limbic and para-limbic regions of neuro-transmission. This paper presents impact of vedic

chanting signal positive vibrations on human body brain and nervous System.

Keyword: Vedic chanting, Neurotransmission, Limbic Resonance, Homeostasis and Signal energy. References:

1. . Khan and A. Ajmal; “ Effect of Classical and Pop Music on Mood and Performance”; ISSN 2250-3153;12;Dec 2017.IJSRP

Volume 7, Issue 12, 2017

2. Anita P., et.al, 2017 conducted a study of “Effect of listening to Vedic chants and Indian classical instrumental music on patients

undergoing upper gastrointestinal endoscopy” in2017 Indian Journal of Psychiatry

3. JyotiKori et.al (2017) “Effect of chanting OMKARA mantra on pulse rate for stress reduction” IJERD 2017

4. Balaram P., S. GodseDerle et.al (2017) “Comparison of effect of Gayatri Mantra and Poem Chanting on Digit Letter

SubstitutionTask Ancient science of life” ,oct-dec 2012/Volume 32/Issue 2

5. K. SaiSailesh et.al (2016) conducted a study on analyzing of “Beneficial effect of 12 weeks Sri Vishnu sahasranama chanting on

stress, cognition and automatic functions” Int J.Res. Ayurveda Pharm7. (Suppl 4) sep-oct,2016.

6. Kulkarni A Ashok, J Abhijit H,G. NehaD.”An understanding towards the mode of action of benfits of mantra chanting” Int. J.

Res Ayurveda Pharm, 36 -38. http://dx.doi.org/10.7897/2277-4343.07251,Mar-Apr 2016

7. Ajay Anil G. and Sidhartha A. Ladhake et.al(2016) “Analysis and dissection of Sanskrit Divine sound “OM” using digital signal

processing to study the Science behind ‘OM” Chanting”. It is published in 2008 and 2016 7th International Conference on

Intelligent Systems, Modelling and male voices Simulation.

8. P. P. Roy, K. SaiSailesh , R.Archana, S.Mishra et.al IJPSR (2016) “Om Namah Shivaya Chanting For Management Of Stress In

Elderly Women With Hypertension” IJPSRA 2016, Vol. 7,Issue 11.

9. Hsieh S, Lee YY , “Classifying different emotional states by means of EEG-based functional connectivity patterns”. PLoS One

9(4):e95415. doi:10.1371/journal.pone.0095415, 2014.

10. Oh E, Kim M, Kim SP, Kim MK, “A review on the computational methods for emotional state estimation from the human EEG”

Comput Math Methods Med 2013:1–13. doi:10.1155/2013/573734, 2013.

11. Chen HH, Wiley-Blackwell,HobokenYang YH, “Music emotion recognition”. CRC Press, BocaRaton, 2011.

12. Argstatter,H. and Mohn,C (2010). “Perception of six basic emotions in music.”

13. A. Gurjar&Sidhartha A. et.al (2009) “Spectral analysis of Sanskrit devine sound OM “, IJT 8(5): 781-785,2009.

14. S.Koelsch, D Sammler, T.Fritz, M.Grigutsch, “Music and emotion: electrophysiological correlates of the processing of pleasant

and unpleasant music.” Psychophysiology44(2):293–304. doi:10.1111/j.1469-8986.2007.00497.x, 2007.

15. S Koelsch(2012) “Brainandmusic.” CRC Press, BocaRaton.

16. J Plailly, B Tillmann, JP Royet, “The feeling of familiarity of music and odors: the same neural signature? “ Cereb Cortex

17(11):2650–2658.doi:10.1093/cercor/bhl173, 2007.

17. S. Ghaligi,et.alt(2006) conduct experiment on “ Effect of vedic chanting on memory and sustained attention” IJTK, vol.5(2),

April 2007, pp. 177-180

18. T.Lesiuk, ”The Effect Of Music Listening On Work Performance psychology of music.”, vol. 33, 173-199, 2005.

19. JINA DEVI H. et.al “ Spectral analysis of Vedic mantra Omkara “ Indian journal of Traditional knowledge , vol.3(2), April

2004, pp.154-161.

20. H Jina Devi, “Concept of Mantra and its corresponding qualities”, MS Dissertation, Hindu University of America, Florida, USA,

January 2003.

21. Trainor LJ, Schmidt LA, “Frontal brain electrical activity EEG distinguishes valence and intensity of musical emotions”. Cogn

Emot 15(4):487–500.doi:10.1080/02699930126048, 2001.

22. T.M.Srinivasan and B.G.Sreelakshmi(eds),et.al “Sense perception in science and shastras”, Proceedings of the conference in

Shankara Mutt,Bangalore,India,1985.

23. N. Thammasan; “Investigation of Familiarity Effects in Music-Emotion Recognition sBased on EEG”.

24. NattapongThammasan K.,Moriyama,Ken-ichiFukui.,Masayuki N. “Investigation of Familiarity Effects in Music-Emotion

Recognition Based on EEG ”

102-105

http://dx.doi.org/10.7897/2277-4343.07251

http://dx.doi.org/10.1111/j.1469-8986.2007.00497.x

http://dx.doi.org/10.1093/cercor/bhl173

http://dx.doi.org/10.1080/02699930126048

21.

Authors: CH V Ravi Sankar, D. Swetha, P V Y Jayasree

Paper Title: Design and Development of Circular Polarized Conformal Microstrip patch Antenna

Abstract: This paper presents broadband circular polarized conformal antenna with a square patch for on-board

applications. The substrate is located in between patch and the ground. A novel Circular polarized square patch

with microstrip feed with two truncated corners with conformal structure is designed. Using a parametric study

on the effect of the position of feed, the antenna parameters VSWR bandwidth, half power beam width and

polarization of antenna are analysed. Finally fabrication of conformal square patch on 2.2 dialectic substrate and

measured results are discussed.

Keyword: conformal microstrip antenna, circular polarization, truncated square corners, VSWR References:

1. S. Raffaelli, Z. Sipus and P.-S. Kildal, “Analysis and Measurements of Conformal Patch Array Antennas on Multilayer circular

Cylinder”, IEEE Trans. on Antennas and Propagation, Vol. 53, No. 3, Marc

2. Satpathy, S., K. P. Ray, and G. Kumar, ‘‘Compact Microstrip Antennas Using a Single Shorting Post,’’ Proc. NSAML, New

Delhi, India, March 1998, pp. 69–72.

3. Hirasawa, K., and M. Haneishi, Analysis, Design, and Measurement of Small and Low- Profile Antennas, Norwood, MA: Artech

House, 1992.

4. James, J. R., and P. S. Hall, Handbook of Microstrip Antennas, Vol. 1, and London: Peter Peregrinus, Ltd., 1989.

5. Naftali Herscovici, Z. Sipus and P.-S. Kildal, “The Cylindrical Omnidirectional Patch Antenna”, IEEE Trans. on Antennas and

Prop., Vol. 49, No. 12, Dec 2001

106-109

22.

Authors: B.Harichandana, K.Lavanya, P.Sumalatha, C.Krishnapriya

Paper Title: Design and Enhancement of License Plate Images Based on Kernel Estimation using Adaptive Filter

Abstract: The speed of vehicles is uncovered because of hit and run accidents are occurred. Generally, the fast

moving vehicle image is captured by the surveillance camera. The images that are observed by this camera

consist of low resolution and the image will be in the blur format. Because of this the information will be loss. In

this paper, to overcome this issue with the design and enhancement of license plate images based on kernel

estimation using adaptive filter. Here the information patches are selected from the given images. From these

images the edge prediction is performed. It means here it will determine the angle and length of the observations.

After this kernel estimation operation is performed. Hence the proposed system can evaluate the images of real

world and handle the motion of images when the license plate is unrecognizable. At last the proposed system

gives effective output compared to other systems.

Keyword: Kernel Estimation, Edge Prediction, Adaptive Filter, License plate. References:

1. R. Wang, D. Tao, "Recent Progress in Image Deblurring," Computer Vision and Pattern Recognition (CVPR), 2014 IEEE

Conference on, 2014.

2. D. Perrone, P. Favaro, "Total Variation Blind Deconvolution: The Devil is in the Details," Computer Vision and Pattern

Recognition (CVPR), 2014 IEEE Conference on, 2909-2916 (2014).

3. X. Li, Z. Shicheng and J. Jiaya, "Unnatural L0 Sparse Representation for Natural Image Deblurring," Computer Vision and

Pattern Recognition (CVPR), 2013 IEEE Conference on, 1107-1114 (2013).

4. X. Zhu, P. Milanfar, "Removing Atmospheric Turbulence via Space-Invariant Deconvolution," Pattern Analysis and Machine

Intelligence, IEEE Transactions on, 35(1), 157-170 (2013).

5. J. Hui and W. Kang, "A two-stage approach to blind spatially-varying motion deblurring," Computer Vision and Pattern

Recognition (CVPR), 2012 IEEE Conference on, 73-80 (2012).

6. X. Li and J. Jiaya, "Depth-aware motion deblurring," Computational Photography (ICCP), 2012 IEEE International Conference

on, 1-8 (2012).

7. L. Xu, Q. Yan, Y. Xia and J. Jia, "Structure extraction from texture via relative total variation," ACM Transactions on Graphics

(TOG), 31(6), 1-10 (2012).

8. X. Zhu, F. Šroubek and P. Milanfar, "Deconvolving PSFs for a Better Motion Deblurring Using Multiple Images," Computer

Vision - ECCV, 636-647 (2012).

9. A. Levin, Y. Weiss, F. Durand and W. T. Freeman, "Understanding Blind Deconvolution Algorithms," Pattern Analysis and

Machine Intelligence, IEEE Transactions on, 33(12), 2354-2367 (2011) [10] R. F. Dilip Krishnan, "Fast Image Deconvolution

using Hyper-Laplacian Priors," Advances in Neural Information Processing Systems (NIPS), 1033-1041(2009)

110-113

23.

Authors: C.Krishnapriya, P.Sumalatha, B.Harichandana, K.Lavanya

Paper Title: An Advanced Road Structure Image Segmentation Method using Swt in Cnn

Abstract: In this paper, the design of advanced road structure image segmentation approach using stroke width

transformation (SWT) in convolution neural network (CNN) is proposed. The main intent of the proposed

system is to acquire the aerial images for the vehicle. Basically, this image segmentation performs its operation

in two forms they are operating phase and learning phase. Here the aerial image has enhanced by using the SWT

transformation. Hence the main advantage of this proposes system is that it processes the entire operation in

simple way with high speed. The SWT will capture the images of road areas in effective way. Hence the propose system has various features which will determine the color, width and many other.

Keyword: Aerial images, convolution neural networks, road detection; segmentation.

114-118

References:

1. A. Vedaldi, K. Lenc, and A. Gupta, "MatConvNet convolutional neural systems for MATLAB," https:/arxiv.org/ pdf/ 1412.

4564.pdf, 2018.

2. T. Ayoul, T. Buckley, and F. Crevier, "UAV route above streets utilizing convolutional neural systems," http:

n.stanford.edu/reports/2017/pdfs/553.pdf, 2017.

3. P. Kaiser, J.D. Wegner, A. Lucchi, M. Jaggi, T. Hofmann, and K. Schindler, "Taking in flying picture division from online

maps," IEEE Transactions on Geoscience and Remote Sensing, vol. 55(11), pp.6054–6068, Nov. 2017.

4. Y. Wei, Z. Wang, and M. Xu, "Street structure refined cnn for street extraction in airborne picture," IEEE Geoscience and

Remote Sensing Letters, vol. 14(5), pp. 709–713, 2017.

5. D. Popescu and L. Ichim, "Ethereal picture division by utilization of textural highlights," In Proc. twentieth International

Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania, pp. 721–726, October 2016.

6. H. Zhou, H. Kong, L. Wei, D. Creighton, and S. Nahavandi, "Proficient street identification and following for Unmanned Aerial

Vehicle," IEEE Trans. on Intell. Transportation Systems, vol. 16(1), pp. 297 Feb. 2015.

7. D. Popescu and L. Ichim, "Picture acknowledgment in UAV application dependent on surface examination," in ACIVS 2015.

LNCS, Springer, Heidelberg, vol. 9386, pp. 693–704, 2015.

8. H. Kong, J.Y. Audibert, and J. Ponce, "General street discovery from a solitary picture," in IEEE Trans. Picture Process. vol. 19,

pp. 2211–2220,

9. V. Mnih and G.E. Hinton, "Figuring out how to identify streets in high-goals aeronautical pictures," In ECCV 2010. LNCS,

Springer, Heidelberg, vol. 6316, pp. 210 2010.

10. H. Zhou, H. Kong, L. Wei, D. Creighton, and S. Nahavandi, "On identifying street reg UAV picture," IEEE Trans. on Intell.

Transportation Systems, vol. 18(7), pp. 1713–1722, July 20

24.

Authors: D.naresh, s.butchi babu, S. Baba fariddin, S. Ravindra

Paper Title: High Speed Novel Design of Sram for Highly Reliable Applications

Abstract: Modern ICs are enormously complicated due to decrease in device size and increase in chip

density involving several millions of transistors per chip. The rules for manufactured leads to a tremendous

increase in complexity due to the amount of power dissipation are increased. In this paper, the design of novel

SRAM is implemented for the highly reliable applications. For high-speed memory applications such as cache, a

SRAM is often used. Power consumption is the key parameter for an SRAM memory design (SRAM). New tag

generation system designed for integrity checking of SRAM. A single read operation to a crossbar SRAM that

can be used for integrity checking. Reliability of the system is measured for varying conditions of device

parameters, operating temperatures, load resistances, and read voltage.

Keyword: SRAM (static random access memory), DRAM (dynamic random access memory), RAM (random

access memory). References:

1. Himanshu Banga, Dheeraj Agarwal, “Single Bit -Line 10T SRAM cell for Low power and High SNM”, Proceeding International

conference on Recent Innovations is Signal Processing and Embedded Systems (RISE -2017) 27-29 October,2017.

2. Ching-Wei, Ming-Hung, “A Configurable 2-in-1 SRAM Compiler with Constant-Negative-Level Write Driver for Low Vmin in

16nm Fin-FET CMOS”, 978-1-4799-4089-9/14/$31.00 © 2014 IEEE.

3. Akshay Bhaskar, “Design and Analysis of Low Power SRAM Cells”, International Conference on Innovations in Power and

Advanced Computing Technologies [i-PACT2017].

4. Ik-Joon Chang, “Priority based SRAM Design”, 978-1-4799-4089-9/14/$31.00 © 2013 IEEE.

5. Chinmay Sharma, Varun Chhabra , Balwinder Singh, “Design of SRAM array using Reversible logic for an efficient SoC

design”, Proceedings of the International Conference on Inventive Computing and Informatics (ICICI 2017) IEEE Xplore

Compliant - Part Number: CFP17L34-ART, ISBN: 978-1-5386-4031-9.

6. Rouwaida Kanj, Rajiv Joshi, Sani Nassif, “Mixture Importance Sampling and Its Application to the Analysis of SRAM Designs

in the Presence of Rare Failure Events”, DAC 2006, July 24-28,2006, San Francisco, California, USA.

7. Huifang Qin, Animesh Kumar, Prakash Ishwar, “Error-Tolerant SRAM Design for Ultra-Low Power Standby Operation”, 0-

7695-3117-2/08 $25.00 © 2008 IEEE.

8. S. Kiamehr, F. Firouzi, and M. B. Tahoori, “A layout-aware X-filling approach for dynamic power supply noise reduction in at-

speed scan testing,” in Proc. IEEE Eur. Test Symp., May 2013, pp. 1–6.

9. M. Nourani, M. Tehranipoor, and N. Ahmed, “Low-transition test pattern generation for BIST-based applications,” IEEE Trans.

Comput., vol. 57, no. 3, pp. 303–315, Mar. 2008.

10. Wan Hassan, W.Z, Othman, M., Suparjo, B.S., “A Realistic March-12N test And Diagnosis Algorithm For SRAM Memories”

IEEE International Conference on Semiconductor Electronics, pp. 919 – 923, 2 July 2007

119-122

25.

Authors: P.Guruvulu Naidu, S.Satyanarayana, Ch.Saibabu

Paper Title: Design of closed-loop control for Solar PV based Multi-Level Inverter

Abstract: Photovoltaic (PV) based multilevel inverters (MLI) have emerged as one of the best alternatives for

grid/standalone applications. MLIs offer high range power handling capability with low current and voltage distortion and lesser switching losses as compare to the traditional two-level inverter. Major challenges with

generally used multilevel inverter topologies relates to capacitor voltage variation, modulation techniques, and

control. The major center of attention of research in this paper is to build up sophisticated modulation and

voltage balancing methods for multilevel inverter topologies, competent to reach capacitor voltage parameter

and to decrease power switching losses of the inverters. The present paper focuses on closed-loop control of

multilevel flying capacitor inverter (FCI). In FCI, the phase shift (PS) based pulse width modulation method is

designed and investigated. The closed-loop controller is designed with input voltage control of MLI, whose

source is solar PV based Boost converter. Reported simulation results prove the superiority of the closed loop

control in maintaining the desired output voltage for various reference values.

123-129

Keyword: Multi-Level Inverter, Phase-shifted Pulse-width modulation (PWM), Closed-loop control, Boost

converter, Solar Photovoltaic. References:

1. MohanaSundar,Manoharan , Ashraf,ahmed , Joung-Hu Park,”a pv power conditioning system using nonregenerative single-

sourced trinary asymmetric multilevel inverter with hybrid control scheme and reduced leakage current” IEEE Transactions on

Power Electronics , Volume: 32 , Issue: 10 , pp: 7602 – 7614, Oct. 2017 .

2. Moacyr Aureliano Gomes de Brito ; Luigi Galotto ; Leonardo Poltronieri Sampaio ; Guilherme de Azevedo, “Evaluation of the

Main MPPT Techniques for Photovoltaic Applications” : IEEE Transactions on IndustrialElectronics , Volume:60 , Issue:3 ,

pp: 1156 – 1167, March 2013.

3. Liwei Zhou ; Feng Gao ; Tao Xu,” A Family of Neutral-Point-Clamped Circuits of Single-Phase PV Inverters:Generalized

Principle and Implementation” IEEE Transactions on Power Electronics ( Volume: 32 , Issue: 6 , pp: 4307 – 4319, June 2017 )

4. Priyabrata Shaw,” Modelling and analysis of an analogue MPPT-based PV battery charging system utilising dc–dc boost

converter” IET Renewable Power Generation (Volume: 13 , Issue: 11 , pp: 1958 – 1967, 8 19 2019.

5. Arpan Hota , Sachin Jain , Vivek Agarwal ,” An Improved Three-Phase Five-Level Inverter Topology With Reduced Number of

Switching Power Devices” IEEE Transactions on Industrial Electronics ,Volume: 65 , Issue: 4 , pp: 3296 – 3305, April 2018.

6. Jianzhong Zhang ; Shuai Xu ; Xing Hu ; Yaodong Zhu,” Voltage Balancing Control of Hybrid Stacked Multicell Inverters

Based on Modified Phase-Shifted PWM” IEEE Access , Volume:7 pp: 25589 – 25602, 21 February 2019.

7. Jianzhong Zhang ; Shuai Xu ; Xing Hu ; Yaodong Zhu,” Voltage Balancing Control of Hybrid Stacked Multicell Inverters

Based on Modified Phase-Shifted PWM” IEEE Access ,Volume: 7 , pp: 25589 – 25602,21 February 2019.

8. Potnuru, Devendra, Javvaji Anilkumar, and A. P. Srikakulam. "A DC-DC inverter for low power applications using Arduino

UnoMicrocontroller." International Journal of Pure and Applied Mathematics 114, no. 7 2017: 123-127, 2017.

26.

Authors: Satyanarayana Addala, I.E.S. Naidu

Paper Title: An Optimal Allocation of losses and size in Power System Network with Dispersed Generation

Abstract: In the Power System the distribution of the loss allocation to clients is a difficult issue for the

effective power. They are various s loss allocations methods have been utilized to set up suitable economic

punishments or prizes. The real power and operating cost are additionally influenced with dissemination

organizes loss allocation, and in this way power advertises requires appropriate methodology for reasonable

portion of loss allocations among network members. This paper presents three different techniques for obtained

losses allocations distribution network with dispersed generation. Within the sight of dispersed generation, the

different power streams in distributed network for embracing works to recognize among the commitments that increase or decrease the losses. The proposed three methods are tested in 16 & 69 Node Radial distribution

network and its outcomes are contrasted and those of different strategies.

Keyword: Dispersed Generation (DG), Radial distribution network (RDN), Branch Current Decomposition

(BCD), Power summation algorithm (PSA). References:

1. M Atanasovski and R Taleski, “Power summation method for loss allocation in radial distribution networks with DG,” IEEE

Trans. Power Syst., vol. 26, no. 4, pp. 2491–2499, Nov. 2011.

2. E Carpaneto,GChiccoandJ S Akilimali, “Branch current decomposition method for loss allocation in radial distribution systems

with distributed generation,” IEEE Trans. Power Syst., vol. 21, no. 3, pp. 1170–1179, Aug. 2006.

3. A JConejo,FDGaliana and I Kochar,“Z-bus loss allocation,” IEEE Trans. Power Syst., vol. 16, no. 1, pp. 105–110, Feb. 2001.

4. J Mahil,SatyanarayanaAddala, AntoSpirituskingly, “Hybrid search algorithm for security constrained unit commitment solution”

,ijeat,2019.

5. JMutale,GStrbac,S Curcic, and N Jenkins, “Allocation of losses in distribution systems with embedded generation,” in Proc.

Inst. Elect. Eng., Gen., Transm. Distrib., Jan. 2000, vol. 147, no. 1, pp. 7–14.

130-133

27.

Authors: Nazeerunnisa, Madhavi Tatineni

Paper Title: Hybrid Precoding/Combining for single-user and Multi-Usersin mm-Wave MIMO systems

Abstract: mm-Wave is one of the potential 5G technology predominant at high frequency. The antenna arrays

allows parallel transmission to the multiple users. Due to the constraints in hardware in mm-Wave systems,it is

difficult to implement conventional multiuser MIMO precoding techniques at mm-Wave. In this paper initially

Hybrid mm-Wave MIMO capacity is compared with conventional MIMOperformance, the simulation results

demonstrates that the performance loss is due to assumption of the quantized angle of arrival and departures in dictionary which is very small using OMP algorithm and the capacity approaches the conventional MIMO

performance. Then the Hybrid Precoding(HP)at mm-Wave is formulated as a sparse optimization problem in

which the hybrid MIMO precoders and combiners are used as the measurement matrices.Here transmit

precoding and combining at the receiver is considered with a limited feedback as knowledge of channel may not

be practically available.Orthogonal matching Pursuit(OMP) algorithm is used for single-user case and alsoin

Multi-user case using simultaneous Orthogonal matching pursuit(SOMP) algorithm. In single user case

numerical results are presented which shows that the proposed algorithm approach is closer to their unconstraint

performance even after considering hardware constraints. Multi-user precoding results illustrates that the

proposed HP method offers higher Spectral efficiency (SE) compared to analog –only beamforming (AB) and is

close tothe performance bench mark of optimal digital beamformer .

Keyword: mm-Wave, Hybrid Precoding/combining, multi-user, MIMO, Orthogonal Matching Pursuit References:

1. S. K. Yong et.al “An overview of multigigabit wireless through millimeter wave technology: Potentials and technical

134-139

https://ieeexplore.ieee.org/author/38467644500





https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=7924296














https://orcid.org/0000-0002-0760-5446


https://orcid.org/0000-0003-0978-4035





https://orcid.org/0000-0001-8474-2711



https://orcid.org/0000-0003-4625-9520




https://orcid.org/0000-0001-8474-2711



https://orcid.org/0000-0003-4625-9520



challenges,” EURASIP Journal on Wireless Communications and Networking, vol. 2007, no. 1, p. 078907, 2006.

2. R. W. Heath, N. Gonzalez-Prelcic,et.al “An overview of signal processing techniques for millimeter wave MIMO systems,” IEEE

Journal of Selected Topics in Signal Processing, vol. 10, no. 3, pp. 436–453, 2016.

3. F. Giannetti et.al, “Mobile and personal communications in the 60 GHz band: A survey,” Wireless Personal Communications,

vol. 10, no. 2, pp. 207–243, 1999.

4. S.Kutty et.al, “Beamforming for millimeter wave communications: An inclusive survey,

”IEEECommun.SurveysTuts.,vol.18,no.2,pp.949– 973, Second Quarter 2016.

5. Z. Pi et.al , “An introduction to millimeter-wave mobile broadband systems,” IEEE Commun. Mag., vol. 49, no. 6, pp. 101–107,

2011.

6. El Ayach, et al., Spatially sparse precoding in millimeter wave MIMO systems. IEEE transactions on wireless communications,

2014. 13(3): p. 1499-1513.

7. J. Wang, et al., “Beam codebook based beamforming protocol for multi-Gbps millimeter-wave WPAN systems,” IEEE Jour.

Select. Areas in Commun., vol. 27, no. 8, pp. 1390–1399, Nov. 2009.

8. S. Hur, et al.,“Millimeter wave beamforming for wireless backhaul and access in small cell networks,” IEEE Trans. Commun.,

vol. 61, no. 10, pp. 4391– 4403, Oct. 2013.

9. Y. Tsang, et al., “Coding the beams: Improving beamforming training in mmwave communication system,” in Proc. Glob.

Telecom. Conf., Houston, TX, Dec. 2011, pp. 1–6.

10. A. Sayeed et.al , “Maximizing MIMO capacity in sparse multipath with reconfigurable antenna arrays,” IEEE Journal of Selected

Topics in Signal Processing, vol. 1, no. 1, pp. 156–166, June 2007.

11. J. Brady, et.al “Beamspace MIMO for millimeterwave communications: System architecture, modeling, analysis, and

measurements,” IEEE Trans. on Ant. and Propag., vol. 61, no. 7, pp. 3814–3827, July 2013.

12. “IEEE 802.11ad standard draft D0.1.” [Online]. Available: www.ieee802.org/11/Reports/tgad update.htm

13. T. Baykas, et.al, “IEEE 802.15.3c: the first IEEE wireless standard for data rates over 1 Gb/s,” IEEE Comm. Mag., vol. 49, no. 7,

pp. 114–121, July 2011.

14. C. Kim, et.al, “Multi-beam transmission diversity with hybrid beamforming for MIMO-OFDM systems,” in Proc. of IEEE

Globecom Workshops, Atlanta, GA, Dec. 2013, pp. 61–65.

15. A. Alkhateeb et.al, “Hybrid precoding for millimeter wave cellular systems with partial channel knowledge,” in Proc. of Info. Th.

and App. Workshop, Feb 2013, pp. 1–5.

16. Nazeerunnisa,MadhaviTatineni, “Sparse CE in mm-Wave Hybrid MIMO systems” IJITEE ISSN:2278-3075

17. D. Love et.al, “Limited feedback unitary precoding for spatial multiplexing systems,” IEEE Trans. Inf. Theory, vol. 51, no. 8 , pp.

2967–2976, Aug. 2005.

18. D. Love, R. W. Heath, et.al, “Grassmannian beamforming for multiple-input multiple-output wireless systems,” IEEE Trans. Inf.

Theory, vol. 49, no. 10, pp. 2735–2747, Oct. 2003.

19. J. C. Roh et.al, “Design and analysis of MIMO spatial multiplexing systems with quantized feedback,” IEEE Trans. Signal

Process., vol. 54, no. 8, pp. 2874–2886, 2006.

28.

Authors: Sravana Kumar Bali, G.V.Nagesh Kumar, Akanksha Mishra, P.V.S.Sobhan

Paper Title: Optimal Reallocation of Generators using Line Utilization Factor and L-Index with UPFC

Abstract: In the electrical industry, globalization and privatization have greatly increased competition.

Therefore, it has become completely necessary to make full use of existing power assets. In this paper, a

technique was proposed in the presence of UPFC to optimize the sizing of generators with Krill Herd algorithm.

The UPFC is based on an index incorporating both the L-index and the LUF index. For tuning the generators, a

multi-objective function has been selected. The multi-objective feature consists of deviation of voltage, cost of

active generation of power and loss of transmission line. This approach was tested and implemented for regular

loading and extreme network conditions due to line failure on an IEEE 30 bus system.

Keyword: Optimal Reallocation; UPFC; Krill Herd Algorithm; Voltage Stability References:

1. Zhang, Qinghui Tang, Daxiang Deng, Yalin Chen, “A modified MOEA/D approach to the solution of multi-objective optimal

power flow problem”, Appl.Soft Comp.J. 2016, in press.

2. Bouchekara, A.E. Chaib, M.A. Abido, R.A. El-Sehiemy, 2016,”Optimal power flow using an Improved Colliding Bodies

Optimization algorithm”, Appl.Soft Comp.J.42, 119-131.

3. Rudra Pratap Singh, V. Mukherjee, S.P. Ghoshal, 2016, “Particle swarm optimization with an aging leader and challengers

algorithm for the solution of optimal power flow problem”, Appl.Soft Comp.J. 40, 161-177.

4. Narges , Mehrdad Tarafdar Hagh , Saeed Teimourzadeh, 2016”Adaptive group search optimization algorithm for multi-objective

optimal power flow problem”, Appl.Soft Comp.J. 38, 1012–1024.

5. Mahdad, K. Srairi, 2016, “Security constrained optimal power flow solution using new adaptive partitioning flower pollination

algorithm”, Appl.Soft Comp.J. 46, 501–522.

6. Biplab, Vikash Kumar Gupta, Sanjay Kumar, 2014, “UPFC with series and shunt FACTS controllers for the economic operation

of a power system”, Ain Shams Engineering Journal. 5(3) , 775–787.

7. Shaheen, G.I. Rashed, S.J. Cheng, 2010 “Application and comparison of computational intelligence techniques for optimal

location and parameter setting of UPFC”, Engineering Applications of Artificial Intelligence. 23(2), 203–216.

140-144

29.

Authors: S Sri Surya Srikanth, B Rajesh Kumar, V.Suresh, V.Jyothi

Paper Title: Design and Simulation of Platinum Micro Heater for VOC sensing Applications

Abstract: Micro electro-mechanical system (MEMS) technology is flourishing the development of various

sensors. Conventionally MEMS devices have been extensively used for upward performance of gas sensors over

a period of time. This paper presents the designing of meander shaped microheater with the commercial FEM

tool is used for simulation. Microheater is designed for application of VOC sensing applications. As the volatile

organic compounds are to be vaporized a microheater is used. The geometric aspects of the microheater state the

temperature effects on the VOC’s.Thus the dimensions were optimized for uniform distribution of heat across

the surface. It was observed from the analytical analysis and FEM simulation that at 2um thickness, Microheater

was able to distribute the heat uniformity across the surface.

145-148

Keyword: Microheater, MEMS, FEM, VOC References:

1. .Md. Nazibul Hasana, Debabrata Acharjeea, “Simulation of low power heater for gas sensing application”Procedia Computer

Science 92 ( 2016 ) 213 – 221.

2. J. Kathirvelan and R.Vijayaraghavan .November 2014. Design,simulation and analysis of Platinum microhaeterson Al2O3

substrate for sensor applications. Vol. 9, No. 11.International journal of emerging trends in electrical and electronics.

3. Dr.G.Velmathi,Prof.s.mohan and N.Ramshanker july 2013 “Importance of Temperature in gas senosrs and design ,fabrication

,testing of s shaped Low power platinum micro heater for gas sensor applications”Vol.5 ,iisue 2 International journal of

emerging trends in electrical and b electronics.

4. Nivedita .Anil Arora “Design of MEMS Microheater based H2 gas sensor”Volume 5 ,issue 5 May 2016 International journal of

Advanced research in computer engineering and technology.

5. Susmitha Sinha,Sumpia roy “Design & Electro thermos Analysis of microheater for low

temperature MEMS based on Gas sensors”Proceedings pblisghed by international journal of computer applications 2011 vol .2

issue 5.

6. Dr.Velmathi Guruviah “Design of Microheaters with better thermal management for sensor Applications”International journal of

mechanical engineering and technology vol 8,issue 10,October 2017.

30.

Authors: SunithaTappari, K. Sridevi, Durga Rao Jenjeti

Paper Title: Compact Lightweight Cryptographic Algorithmfor Optimizationof Resources

Abstract: The study of Lightweight cryptography has been one of the intresting topics in symmetric

cryptography in the recent years. Lightweight symmetric ciphers has gained interest due to the increasing

demand for security services in constrained computing environments, such as in the Internet of Things(IoT).

Though the protocols of light weight in are providingingmore security in variousapplications,resource utility is

more in key generation, key scheduling, permutation layer and substitution box layer operations. More resource

usage make possibletohave highutilization of power andoverhead of area. In this paper, a novel method is

proposed to decrease theutility of resoures, which followsregister reutilization scheme. The resource reutilization is coordinating with the delay inSubstitutionPermutation Network (SPN).Our design is compared, using area,

throughput, power, and latency as metrics.

Keyword: Symmetric light weight cryptography, Resource optimization, Registerreutilization, Cryptography

coding. References:

1. R. Want and S. Dustdar, “Activating the internet of things [guest editors’introduction],” Computer, vol. 48, no. 9, pp. 16–20,

2015.

2. T. Macaulay, “Introduction—The Internet of Things,” in RIoT Control: Understanding and Managing Risks and the Internet of

Things. Boston, MA, USA: Morgan Kaufmann, 2017, ch. 1, pp. 1–26.

3. H. Suo, J. Wan, C. Zou, and J. Liu, “Security in the internet of things: a review,” in Computer Science and Electronics

Engineering (ICCSEE), 2012 International Conference on, vol. 3. IEEE, 2012, pp. 648–651.

4. Muhammad Usman, Irfan Ahmedy, M. Imran Aslamy, Shujaat Khan and Usman Ali Shahy, ‘‘SIT: A Lightweight Encryption

Algorithm for Secure Internet of Things,’’ International Journal of Advanced Computer Science and Applications, Vol. 8, No. 1 ,

2017.

5. C. Alippi and C. Galperti, “An adaptive system for optimal solar energy harvesting in wireless sensor network nodes,” IEEE

Trans. Circuits Syst. I, Reg. Papers, vol. 55, no. 6, pp. 1742–1750, Jul. 2008.

6. A. A. R. Haeri, M. G. Karkani, M. Sharifkhani, M. Kamarei, and A. Fotowat-Ahmady, “Analysis and design of power harvesting

circuits for ultra-low power applications,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 64, no. 2, pp. 471–479, Feb. 2017.

7. Z. Zou et al., “A low-power and flexible energy detection IR-UWB receiver for RFID and wireless sensor networks,” IEEE

Trans. Circuits Syst. I, Reg. Papers, vol. 58, no. 7, pp. 1470–1482, Jul. 2011.

8. Bormann, C Guidance for LightWeight Implementations of the Internet Protocol Suite; IETFInternet Draft draft-ietf-lwig-

guidance-02, The Internet Engineering Task Force (IETF): Fremont,CA, USA, 2012. [9] Information Technology—Security

Techniques—Lightweight Cryptography—Part 2: Block Ciphers, document ISO/IEC 29192-2, Jan. 2012.

9. A. Bogdanov et al., “PRESENT: An ultra-lightweight block cipher,” in Cryptographic Hardware and Embedded Systems

(Lecture Notes in Computer Science), vol. 4727. Berlin, Germany: Springer, 2007, pp. 450–466.

10. Carlos Andres Lara-Nino, Arturo Diaz-Perez, and Miguel Morales-Sandoval “Lightweight Hardware Architectures for the

Present Cipher in FPGA,” IEEE Transactions on Circuits and Systems–1: Regular Papers, vol. 64, no. 9, September 2017.

149-153

31.

Authors: Sravana Kumar Bali, B.Durgaprasad, A.Jagadeesh, V.Raj Kumar

Paper Title: Strategic Position and Tuning of UPFC using Multiple Indices and Flower pollination Algorithm for

Contingency Management

Abstract: In this paper, a technique was proposed in the presence of UPFC to optimize the sizing of generators

with Flower Pollination algorithm. The UPFC is based on an index incorporating both the L-index and the LUF

index. For tuning the generators, a multi objective function has been selected. The multi-objective feature

consists of deviation of voltage, cost of active generation of power and loss of transmission line. This approach

was tested and implemented for regular loading and extreme network conditions due to line failure (contingency situation) on an IEEE 30 test bus system.

Keyword:Optimal Reallocation; UPFC; Flower Pollination Algorithm; Voltage Stability References:

1. Zhang, Qinghui Tang, Daxiang Deng, Yalin Chen, “A modified MOEA/D approach to the solution of multi-objective optimal

power flow problem”, Appl.Soft Comp.J. 2016, in press.

2. Bouchekara, A.E. Chaib, M.A. Abido, R.A. El-Sehiemy, 2016,”Optimal power flow using an Improved Colliding Bodies

Optimization algorithm”, Appl.Soft Comp.J.42, 119-131.

3. Rudra Pratap Singh, V. Mukherjee, S.P. Ghoshal,2016, “Particle swarm optimization with an aging leader and challengers

154-159

algorithm for the solution of optimal power flow problem”, Appl.Soft Comp.J. 40, 161-177.

4. Narges , Mehrdad Tarafdar Hagh , Saeed Teimourzadeh, 2016”Adaptive group search optimization algorithm for multi-objective

optimal power flow problem”, Appl.Soft Comp.J. 38, 1012–1024.

5. Mahdad, K. Srairi,2016, “Security constrained optimal power flow solution using new adaptive partitioning flower pollination

algorithm”, Appl.Soft Comp.J. 46, 501–522.

6. Biplab, Vikash Kumar Gupta, Sanjay Kumar,2014, “UPFC with series and shunt FACTS controllers for the economic operation

of a power system”, Ain Shams Engineering Journal. 5(3) , 775–787.

7. Shaheen, G.I. Rashed, S.J. Cheng,2010 “Application and comparison of computational intelligence techniques for optimal

location and parameter setting of UPFC”, Engineering Applications of Artificial Intelligence. 23(2), 203–216.

32.

Authors: Ravi Kumar Bora, Sridhar Akiri, VSantosh Kumar

Paper Title: A Diffie-Hellman Encryption Scheme over Elliptic Curves using Golden Matrices

Abstract: In this paper, we proposed Diffie-Hellman encryption scheme based on golden matrices over the

elliptic curves. This algorithm works with a bijective function defined as characters of ASCII from the elliptic

curve points and the matrix developed the additional personal key, which was obtained from the golden

matrices.

Keyword: Diffie-Hellman, decryption, elliptic curves, encryption, golden matrices. References:

1. ApostolTM “Introductiontoanalyticnumbertheory”.NewYork:Springer-Verlag, 1976.

2. Darrel Hancott Vanstone, A text book of Guide to elliptic curve Cryptography, 1965.

3. Diffie W, van Oorschot, P. C., Wiener, M. J. (1992), "Authentication and Authenticated Key Exchanges", Designs, Codes and

Cryptography Kluwer Academic Publishers 2 (2): 107–125.

4. Hellman M.E., “A Cryptanalytic time-memory trade off”. IEEE Transactions on InformationTheory26(4):401-406,1980.M.

Young, The Techincal Writers Handbook. Mill Valley, CA: University Science, 1989.

5. Stakhov AP. “The ‘‘golden’’ matrices and a new kind of cryptography”, Chaos, Solutions and Fractals 32 (2007) pp1138–1146.

6. Hoggat VE. Fibonacci and Lucas numbers. Palo Alto, CA: Houghton-Mifflin; 1969.

7. Stakhov AP. Codes of the golden proportion. Moscow: Radio and Communications; 1984[in Russian].

8. Stakhov AP. The golden section in the measurement theory. Comput Math Appl 1989; 17(4–6):613–38.

9. Stakhov AP, Tkachenko IS. Hyperbolic Fibonacci trigonometry. Rep Ukr Acad Sci 1993; 208(7):9–14 [in Russian].

10. Stakhov OP.A generalization of the Fibonacci Q-matrix. Rep Nat Acad Sci Ukraine1999 (9):46-9.

11. Stakhov AP. The golden section and modern harmony mathematics. Applications of Fibonacci numbers, 7. Kluwer Academic

Publishers; pages 393–99, 1998.

12. Stakhov A, Rozin B. On a new class of hyperbolic function. Chaos, Solitons & Fractals 2004; 23:379–89.

13. B. Ravi Kumar, A. Chandra Sekhar, G. Appala Naidu, “A Diffie –Hellman key exchange for self encryption over points on the

Elliptic Curve Cryptography” Journal of Information and Computing Science, Volume12 (2), pages 083-087, 2017.

160-163

33.

Authors: G.Vinutna Ujwala, N.Manisha, K.Sridevi

Paper Title: Compact Micro Patch antenna with F Shape Extension DGS

Abstract: This work describes a compact microstrip antenna design for wide bandwidth applications. The

proposed work introduces a methodology to improve the bandwidth, as well return loss by the defective ground

structure (Extended F-Shape). As communication systems require small size, broadband and multiband

frequency antennas, an inset line feed monopoles have to be ensured for fabricating broadband antennas.

Intensive investigations are carried out in the proposed work to design a new antenna with broadband and multi-

band properties. Simulations are performed by using the Ansoft HFSS Electromagnetic Simulation Software.

Keyword: Defected ground structure (DGS) micro strip antenna, Return Loss. References:

1. Journals of Emerrging Technology and Advance Engineering (ISSN 22-50-249, ISO 900:2008 Certified Journal, Volume 3, Issue

: 7, July -13).’ Analysis of Electrical Parameter of Inset Feed Rectangle Micro Patch antennas’ (RMPA)’

2. Constantie A.Blannis, Antenna Theory – Analysis and Designed, JohnWilley & Son, INC, third Edition.

3. AJER e-ISSN : 2320-O847 p-ISSN -0936 Volume-O2, Issue09, pp-23-3O., “Enhance the Band -width of a Micro strip Patch

Antennas Slots Shape- Patch”,

4. IJATCSE, “Designed and Character of E-Shaped Micro strip Patch Antennas for a Wireless: Communications”, Vol.2, No.2,

Page: 177-180 (2013)

5. International Journal of u- and e- Service, ‘Performance Comparison of Microstrip Antenna with Different Shape of the Patch’,

IJUCST, Vol: 6, No. 3, June, 2O13.

6. F-G., Zhu, J.-D., Xu, and Xo -u, Q: ‘Reductions of mutualed coupling between closeley packed antennas element use of defected

ground structures “,Electrons. Let, 2OO9,5, (12), pp. 601–602

7. Kasabe gouda, V. G. and Vino, Progress in Electro magnetics Research, “A broad suspend micro antenna for circular polarized,"

PIER 9, 3-53-3-68, 2009.

8. Alboyeh, M. N. Kamjai, and M. Shobeyi, Progress in Electro-magnetics Research Letters, “A novel cross-slot geometry to

improve impedance band width of micro strip antenna,", Vol. 4, 63-72, 2008.

9. M.G Zhang, S.J Hong and Z. Wang, Progress in Electro-magnetics Research “Two novel bands-notched UWB sloted antenna

feed by micro strip line,” PIER 78, 209-218, 2008.

10. Bait-Suwaila, Siddiqui M.M., and Ramahi Omari, M.: ‘Mutual coupling reductions between microstrip antenna using slotted

complementar split-rings resonator’, Antennas Wire. Propag. Lettt.,2010, 7, pp. :876–88

11. T. M. Islam, N. Shaki and N. Misran, Progress In Electro magnetic , “Broad band E-H shape micro patch antennas for the

wireless system,” PIER 163-173: 2009.

164-167

34.

Authors: Eppili Jaya, B.T. Krishna

Paper Title: Adaptive Genetic Fuzzy Decisive Technique Based Moving Target Identification using Multichannel

SAR Set-up

Abstract: In the ongoing synthetic aperture radar (SAR) methodology, precise and efficient identification of 168-171

moving targets is a prominent task. Fractional FT (FrFT)accumulates the energy of the required chirp signal in

order to separate it as noise from the chirp.The proposed SAR Moving Target Identification (MTI) process is

based on FrFT being combined with the definitive adaptive genetic or neurofuzzy method. The correlation

between the transmitted signal and the received signal's FrFT is determined, optimizing the appropriate signal

energy and applying it to the decisive adaptive genetic fuzzy unit, which identifies the object location using the

fuzzy linguistic rules adaptively.The simulation is conducted by changing the number of targets and number of iterations and the evaluation is performed based on parameters such as missed target rate, detection time and

Mean Square Error (MSE), showing that the proposed Adaptive Genetic Fuzzy decisiveMTIsystem located the

object with a minimum missed target rate of 0.12 in 5.02s and MSE of 23377.4

Keyword: AdaptiveGenetic Fuzzy Decisive technique, multichannel SAR, Fractional FT, function of

ambiguity,correlation References:

1. LudwigMichael, et al., “multi-channel synthetic aperture radar in europe” IGARSS 2017.

2. Z. Li, et al., "Multi-frame fractional Fourier transform technique for moving target detection with space-based passive radar",

IET, Radar, Sonar & Navigation, volume. 11, no. 5, pp. 822-828, May 2017.

3. Yang, J., Liu, C and Wang, Y.: ‘Detection and imaging of ground moving targets with real SAR data’, IEEE Transactions on

Geoscience and Remote Sensing, 2015, 53, no. 2, pp. 920-932.

4. J.R Fienup, “Detecting moving targets in SAR imagery by focusing”, IEEE Transactions on Aerospace and Electronic Systems,

2001, 37, (3), pp. 794-809.

5. A Saucan,et al.,”3-D bathymetric reconstruction in multi-path and reverberant underwater environments”, in proceedings of 2014

IEEE International Conference on Image Processing (ICIP), 2014, pp. 5831-5835.

35.

Authors: Simhachalam Boddana, Hymavathi Talla

Paper Title: Performance Examination of Hard Clustering Algorithm with Distance Metrics

Abstract: Clustering algorithms based on partitions are widely used in unsupervised data analysis. K-means algorithm is one the efficient partition based algorithms ascribable to its intelligibility in computational cost.

Distance metric has a noteworthy role in the efficiency of any clustering algorithm. In this work, K-means

algorithms with three distance metrics, Hausdorff, Chebyshev and cosine distance metrics are implemented from

the UC Irvine ml-database on three well-known physical-world data-files, thyroid, wine and liver diagnosis. The

classification performance is evaluated and compared based on the clustering output validation and using

popular Adjusted Rand and Fowlkes-Mallows indices compared to the repository results. The experimental

results reported that the algorithm with Hausdorff distance metric outperforms the algorithm with Chebyshev

and cosine distance metrics.

Keyword: Chebyshev distance, cosine distance, distance metrics, Hausdorff distance, k-means. References: 1. Anna Huang. Similarity Measures for Text Document Clustering. New Zealand Computer Science Research Student Conference, April,

2008, pp.49-56.

2. Blumberg and Henry. Hausdorff's Grundzüge der Mengenlehre. Bulletin of the American Mathematical Society, 1920, 27 (3): pp. 116–

129.

3. Bock R K and Krisher W. The data analysis brief book. Springer-Verlag, New York, 1998.

4. Fowlkes E B and Mallows C L. A Method for Comparing two Hierarchical Clusterings. Journal of the American Statistical Association,

1983, 78(383): pp.553-569.

5. Hubert L and Arabie P. Comparing Partitions. Journal of Classification, 1985, 2: pp.193-218.

6. Huttenlocher, D.P., Klanderman, G.A., and Rucklidge, W.J. Comparing images using the Hausdorff distance. IEEE Transactions on

Pattern Analysis and Machine Intelligence, 1993, 15(9): pp.850–863.

7. Jain A, Murty M and Flynn P. Data Clustering: A review. ACM Computing Surveys, 1999, 31(3): pp. 264-323.

8. Kahkashan kouser and Sunita. A comparative study of K-Means Algorithm by Different Distance Measures. International Journal of

Innovative Research in Computer and Communication Engineering, 2013, 1(9): pp.2443-2447.

9. Kløve Torleiv, Lin Te-Tsung, Tsai Shi-Cun and Tzeng Wen-Guey. Permutation Arrays Under The Chebyshev Distance. IEEE

Transactions on Information Theory, 2010, 56(10): pp.2611-2617.

10. Lesk Am. Extraction of geometrically similar substructures: least-squares and Chebyshev fitting and the difference distance matrix.

Proteins, 1998, 33(3): pp.320-328.

11. MacQueen J. Some Methods for Classification and Analysis of Multivariate Observations. Proceedings of the Fifth Berkeley Symposium

on Mathematical Statistics and Probability, Berkeley, 1967, vol 1: Statistics: 281-297.

12. Najim Dehak, Reda Dehak, James Glass, Douglas Reynolds and Patrick Kenny. Cosine Similarity Scoring without Score Normalization

Techniques. In Odyssey: June 2010, pp.15-20.

13. Rucklidge W.J. Efficiently Locating objects using the Hausdorff distance. International Journal of Computer Vision, 1997, 24(3): 251-

270.

14. Sandeep Tata and Jignesh M Patel. Estimating the Selectivity of tf-idf based Cosine Similarity Predicates. SIGMOD record, 2007,

36(2):7-12.

15. Steinbach Michael, George Karypis and Vipin Kumar. A Comparision of Document Clustering Techniques. In KDD workshop on text

mining, 2000, 400(1): 525-526.

16. Strehl A, Ghosh J, and Mooney R. Impact of similarity measures on web-page clustering. In AAAI-2000: Workshop on Artificial

Intelligence for Web Search, July 2000, pp.58-64.

17. Sung-Hyuk Cha. Comprehensive Survey on Distance or Similarity Measures between Probability Density Functions. International

Journal of Mathematical Models And Methods In Applied Sciences, 2007, 1(4):300-307.

18. Wagner Silke and Dorothea Wagner. Comparing Clustering – An Overview. Technical Report, Faculty of Informatics, University at

Karlsruhe(TH), 2007, pp.1-19

19. Wen-Liang Hung and Minn-Shen Yang. Similarity Measures of Intuitionistic Fuzzy sets based on Hausdorff distance. Pattern

Recognization Letters, 2004, 25(14):1603-1611.

172-178

https://en.wikipedia.org/wiki/Bulletin_of_the_American_Mathematical_Society

36.

Authors: Ennam.Govinda, Vemuri. B.S.SrilathaIndira Dutt

Paper Title: Uwb Based Imaging Technique for Breast Tumour Detection by using Erar, Das and Dmas

Algorithms

Abstract: Breast tumor is high hazard infection among ladies which regularly causes perilous dread. So as to

perceive the tumor tainted breast picture UWB imaging method is used. In this manner used breast picture is preprocessed for eliminating the noise and unnecessary information by stable wiener channel and Recursive least

square channel. From this time preprocessed picture is given to FDTD for examining the breast picture for tumor

acknowledgment. Accordingly got picture given to ERAR, DAS and DMAS algorithms for removal of artifact

from tumor speculated picture. In this manner acquired picture is made auto correlated for brightening up the

tumor contaminated territories. At that point the breast pictures are segmented by edge-based tumor

segmentation and the outcomes are characterized with DAS and DMAS algorithms for better accuracy and

sensitivity of picture.

Keyword: Delay and Sum (DAS), UWB (Ultrawideband), Robust and Enhanced Artifact Resistant algorithm

(ERAR), delay multiply and sum (DMAS). References:

1. Bray F, Center MM, Ferlay J, Ward E, Forman D, a cancer journal for clinicians – 2011, Mar-Apr; 61(2): 69-90. Doi

10.3322/caac.20107. Epub 2011 Feb 4.’ Global cancer statistics.

2. J. Luttges and I.Schreer “Breast cancer early detection”, Radiologic Pathologic Correlations from head to toe. PP No. 767 -784,

Springer 2005.

3. Katrina Armstrong, Constance D.Lehman and Suzanne W.Fletcher “ Screening for Breast Cancer” JAMA: journal of the

American Medical Association, 2005 Mar 9, 293 (10) 1245-1256, doi: 10.1001/jama.293.10.1245.

4. Dr Carla Boetes, Dr Wylie Burke, Dr Steven Harms and Dr Martin O.Leach “American Cancer Society Guidelines for Breast

Screening with MRI as an Adjunct to Mammography” First published: 19 February 2009, 1414.

5. M.Klemm,I.J.Craddock,J.A.Leendertz,A.Preece,andR.Benjamin “Improved delay-and-sum beamforming algorithm for breast

cancer detection,” International Journal of Antennas and Propagation,Vol.3, 2008, pp.1-9

6. Anders Mattsson, Erik Holmberg, Roy Shore “Radiation Effects on Breast Cancer Risk: A Pooled Analysis of Eight Cohorts”

Radiation Research: August 2002, Volume 158, No.2, PP-220-235.

7. Allen Taflove and Jack E.Bridges “Two-Dimensional FDTD Analysis of a Pulsed Microwave Confocal System for Breast Cancer

Detection: Fixed-focus and Antenna-Array Sensors” IEEE Transactions on biomedical engineering, Volume 45, No. 12,

December 1998.

8. The UWCEM Numerical Breast Phantom in Lazebnik et al,PhysicsMedicalBiol.2007,

http://uwcem.ece.wise.edu/MRIdatabase/index.html

9. The Finite-Difference Time-Domain Method, 3rd, MA: Artech House, 2000, ch. 7-9, pp. 273-406.A. Taflove, and S. C. Hagness,

Computational electrodynamics:

10. Dr.R.S. Kawitkar,AsawariK.Chinchanikar,Performance Analysis of UWB System; International Journal of Scientific and

Research Publications, Volume 2, Issue 9, September 2012 1 ISSN 2250-3153 .

11. Ultra Wideband Technology and Its Applications Yusnita Rahayu1, Tharek Abd. Rahman1, Razali Ngah1, P.S. Hall2; 978-1-

4244-1980-7/08/$25.00 ©2008 IEEE.

12. Maciej Klemm, Jack. A. Leendertz, David Gibbins, Ian J. Craddock, Alan Preece, and Ralph Benjamin; Microwave Radar-Based

Differential Breast CancerImaging: Imaging in Homogeneous Breast Phantoms and Low Contrast Scenarios; IEEEtransactions on

antennas and propagation, vol. 58, no. 7, july 2010.

13. A.F. Mirza, F. Abdulsalam, R. Asif, Y.A.S. Dama, M. M. Abusitta, F. Elmegri, R.A. Abd-Alhameed,J.M.Noras, R. Qahwaji

1School of Engineering and Informatics, University of Bradford, UK; Breast Cancer Detection using 1D, 2D and 3D FDTD

Numerical Methods; 2015 IEEE International Conference.

14. Tengfei Yin, Student Member, IEEE, and Falah H. Ali*, Senior Member, IEEE;Adaptive Combining via Correlation Exploration

for Ultrawideband Breast Cancer Imaging; 1536-1225 (c) 2013 IEEE

15. FalahH.Ali,senior Member,IEEE and Constantino Carlos Reyes Aldasoro,seniorMember,IEEE; A Robust and Artifact Resistant

Algorithm of UWB system for Breast Cancer detection;0018-9294© 2015 IEEE.

16. V.B.S.SIndiraDutt,Seniormember,IEEE,E.Govinda,member,IEEE(27); Hybrid UWB Based Image technique for breast tumour

detection by using Enhanced Robust and Artifact Removal Algorithm;2277-3878 Volume-7,Issue-6,IJRTE ,March 2019.

179-185

37.

Authors: M Ramachandro, Ravi Bhramaramba

Paper Title: Machine Learning Algorithms with Different Gene Expression Datasets

Abstract: : Two classification techniques have been compared using microarray dataset. For example SVM,

Logistic Regression strategies have been utilized in the process. The usefulness of these techniques has been determined with precision, accuracy, recall and F1-Scores. These techniques Here Prostate tumors, Lung Cancer,

were analyzed. For each situation these strategies were applied to two distinctive microarray datasets with two

classes. Finally performance analysis was done

Keyword: About four key words or phrases in alphabetical order, separated by commas References:

1. Dreiseitl, S., & Ohno-Machado, L. (2002). Logistic regression and artificial neural network classification models: A methodology

review. Journal of Biomedical Informatics, 35(5–6), 352–359.

2. Peng, C. Y. J., Lee, K. L., & Ingersoll, G. M. (2002). An introduction to logistic regression analysis and reporting. Journal of

Educational Research, 96(1), 3–14.

3. Öz, E., & Kaya, H. (2013). Support vector machines for quality control of DNA sequencing. Journal of Inequalities and

Applications, 2013, 1–9.

4. Janardhanan, P., Heena, L., & Sabika, F. (2015). Effectiveness of support vector machines in medical data mining. Journal of

Communications Software and Systems, 11(1), 25–30.

5. Nayak, J., Naik, B., & Behera, H. S. (2015). A Comprehensive Survey on Support Vector Machine in Data Mining Tasks:

Applications & Challenges. International Journal of Database Theory and Application, 8(1), 169–186.

6. Patil, D. R. (2015). Implementation of Svm and Nb Algorithms for. (4), 141–145.

186-190

7. Chao, C. F., & Horng, M. H. (2015). The construction of support vector machine classifier using the firefly algorithm.

Computational Intelligence and Neuroscience, 2015.

8. Wang, S., & Meng, B. (Parikh, K. S., & Shah, T. P. (2016). Support Vector Machine – A Large Margin Classifier to Diagnose

Skin Illnesses. Procedia Technology, 23, 369–375.

9. Yadav, A., Hui, L., Ali, M., & Anis, M. (2016). Analysis of Healthcare Data of Nepal Hospital using Multinomial Logistic

Regression Model. International Journal of Management & Information Technology, 11(2), 2720–2730.

10. Shen, L., Chen, H., Yu, Z., Kang, W., Zhang, B., Li, H., … Liu, D. (2016). Evolving support vector machines using fruit fly

optimization for medical data classification. Knowledge-Based Systems, 96, 61–75.

11. .Zhu, Y., & Fang, J. (2016). Logistic Regression-Based Trichotomous Classification Tree and Its Application in Medical

Diagnosis. Medical Decision Making, 36(8), 973–989.

12. B.Santhosh Kumar, P.Kanaga Ranjitham, K.R Karthekk, J Gokila, “Survey on various small file handling strategies on

Hadoop”, IEEE International Conference on Communication and Electronics Systems (ICCES), Coimbatore, 2016, DOI:10.1109/

CESYS. 2016. 7889882, Pages 1-4

13. Pian, W., Khoo, C. S. G., & Chi, J. (2017). Automatic classification of users’ health information need context: Logistic regression

analysis of mouse-click and eye-tracker data. Journal of Medical Internet Research, 19(12).

14. Parameter selection algorithm for Support Vector Machine. Procedia Environmental Sciences, 11, 538–544.

15. Vanitha, S., & Balamurugan, P. (n.d.). Medical Data Classification Using Svm and Neural Network Classifier-a Study. 139–145.

16. 15.B.Santhosh Kumar, S. Karthik, V. P. Arunachalam “Upkeeping secrecy in information extraction using ‘k’ division graph

based postulates”, DOI:10.1007/s10586-018-1705-2, Journal of Cluster Computing (Springer), Volume 22, pp 57–63, January

2019, Pages:1-7

38.

Authors: Rashad.t.s., A.Ch. Sudhir

Paper Title: Fuzzy-Neural based Cost Effective Handover Prediction Technique for 5G-IoT networks

Abstract: Most of the existing works related to handover prediction in 5G networks, depends on huge

mobility patterns collected over several periods of time, which will be tedious and complex to classify and

analyze these patterns to predict the future locations of mobile users. Hence the main objective is to design a HO

prediction technique which accurately predicts the next cell location with least amount of mobility history or

patterns. In this paper, we design handoff prediction and target network selection scheme for 5G-IoT networks.

For VHO triggering condition, Multi-layer Feed Forward Network (MFNN) is applied which will predict the

user mobility based on distance, RSS, mobile speed and direction parameters. For target cell selection, Fuzzy

decision model is applied based on the network level metrics such as traffic load, handover latency, battery power and user level metrics such as security and cost. The proposed approach will be implemented in NS3 and

the performance is measured in terms of network throughput, handoff delay, handoff cost and prediction

accuracy.

Keyword: 5G; IoT; Fuzzy; Cost; Prediction

References:

1. A. Suresh Kumar, S. Vanmathi, B. Praveen Sanjay, S. Ramya Bharathi and M. Sakthi Meena, "Handover forecasting in 5G using

machine learning",International Journal of Engineering & Technology, 7 (2.31) (2018) 76-79,2018.

2. Fan Jia and Xiaolin Zheng, "A Request-Based Handover Strategy Using NDN for 5G",Wireless Communications and Mobile

Computing,Volume 2018, Article ID 4513070, 9 pages,2018.

3. Le Luong Vy, Li-Ping Tung and Bao-Shuh Paul Lin, "Big Data and Machine Learning Driven Handover Management and

Forecasting",IEEE Conference on Standards for Communications and Networking (CSCN),2017.

4. BRIAN ORYEMA,SEUNGMAN CHUN and JONGTAE PARK, "A MOBILITY MANAGEMENT ARCHITECTURE FOR

INTERNET OF THINGS USING COAP",International Journal Of Electrical, Electronics And Data Communication, ISSN:

2320-2084 Volume-5, Issue-1,2017.

5. Vijaya Yajnanarayana, Henrik Ryden, L aszl o H evizi, Ankit Jauhari and Mirsad Cirkic Ericsson, "5G Handover using

Reinforcement Learning",CoRR abs/1904.02572,2019.

6. Miran Taha, Lorena Parra, Laura Garcia and Jaime Lloret, "An Intelligent handover process algorithm in 5G networks: The use

case of mobile cameras for environmental surveillance",WT04-5thIEEE International Workshop on Smart Communication

Protocols and Algorithms (SCPA 2017),2017.

7. Metin Ozturk , Mandar Gogate, Oluwakayode Onireti , Ahsan Adeel , Amir Hussain and Muhammad A. Imran, "A novel deep

learning driven, Minimum-cost mobility prediction approach for 5G cellular networks: The case of the Control/Data Separation

Architecture (CDSA)", Elsevier,Neurocomputing 358 (2019) 479–489,2019.

8. Po-Chiang Lin, Lionel F. Gonzalez Casanova, and Bakary K. S. Fatty, "Data-Driven Handover Optimization in Next Generation

Mobile Communication Networks",Hindawi Publishing Corporation,Mobile Information Systems,Volume 2016, Article ID

2368427, 11 pages,2016.

9. Nawaporn Wisitpongphan, Watchareewan Jitsakul, and Duangporn Jieamumporn, ” Travel Time Prediction using Multi-

Layer Feed Forward Artificial Neural Network”, IEEE Fourth International Conference on Computational Intelligence,

Communication Systems and Networks, 2012

10. Daniel Svozil, Vladimir KvasniEka and JiE Pospichal, ”Introduction to multi-layer feed-forward neural network”, Chemometrics

and Intelligent Laboratory Systems 39 (1997) 43-62

11. NerMinimum Makhlouf,” Exploiting Neural Networks for Mobility Prediction in Mobile Ad Hoc Networks’, VOL.18, NO.3,

JUNE 2016

12. Karthik Vasudeva, Sener Dikmese, ˙Ismail G¨uvenc ̧ Abolfazl Mehbodniya, Walid Saad and Fumiyuki Adachi,"Fuzzy Logic

Game-Theoretic Approach for Energy Efficient Operation in HetNets", WS05-International Workshop on Application of green

techniques to emerging communication and computing paradigms (GCC)Murad Khan , Awais Ahmad, Shehzad Khalid, Syed

Hassan Ahmed, Sohail Jabbar and Jamil Ahmad, "Fuzzy based multi-criteria vertical handover decision modelling in

heterogeneous wireless networks", Multimed Tools Appl (2017) 76:24649–24674

191-197

39.

Authors: Sreenivasulu Ummadisetty, Madhavi T, Reddi Sridevi

Paper Title: Detection of Atrial Fibrillation Based on Optimized Electrocardiogram (ECG) Recordings

Abstract: Atrial fibrillation (AF) is one among the foremost common heart arrhythmias. It is terribly tough 198-203

to discover unless a precise arrhythmia episode happens throughout the exploration. If the diagnosis and the

treatment is delayed the Atrial fibrillation can lead to heart strokes and causes death, therefore automatic

detection of AF is an urgent need. The analysis of ECG recordings is considered as one of the typical process of

detecting AF. The ECG signals analysed by considering normal rhythm (N), other arrhythmias (O) and Atrial

Fibrillation(A) and noises. In this paper the proposed technique is validated by considering open accessible

public dataset. In the proposed method initially pre-processing of ECG signal is performed, next extraction of features, optimizing the features using genetic algorithm (GA) and finally classifying using support vector

machine (SVM) classifier. The proposed algorithm achieves overall accuracy of 95.8% and by considering top

10 features the rate of accuracy is 96.8% which is better compared to the existing algorithm with an SNR of

dB. The experimental results are performed using MATLAB and uggest that by availing the short ECG

recording also the detection of AF is obtained accurately.

Keyword: Trial Fibrillation, ECG Recordings, Genetic Algorithm, SVM References:

1. Bollmann A, Husser D, Mainardi L, et al. Analysis of surface electrocardiograms in atrial

2. fibrillation: techniques, research, and clinical applications. Eur Soc Cardiol 2016:911–926

3. Andresen D, Briiggemann T. Heart rate variability preceding onset of atrial fibrillation. Joumal of Cardiovascular

Electrophysiology Supplement 2015;9:S26-S29.

4. Artis S, Mark R, Moody G. Detection of atrial fibrillation using atrial neural networks. Computers in Cardiology 2017; 173-176

5. Pinciroli F, Castelli A. Pre-clinical experimentation of a quantitative synthesis of the local variability in the original R-R interval

sequence in the presence of arrhytha. Automedica 2015;6:295-3 17.

6. Meijler F, Wittkampf E Role of the atrioventricular node in atrial fibrillation. In Falk R, Podrid P (eds.), Atrial Fibrillation:

Mechanisms and Management, 2nd. Philadelphia: Loppincott-Raven Pulishers, 1997; 109-131.

7. Fuster Valentin, Ryd´en Lars E, Cannom David S, et al. ACC/AHA/ESC 2006 Guidelines for the Management of Patients with

Atrial Fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice

Guidelines and the European Society of Cardiology Committee for Practice Circulation. 2006;114:257–354.

8. Yoon Kwon Ha, Thap Tharoeun, Jeong Chang Won, et al. Analysis of Statistical Methods for Automatic Detection of Congestive

Heart Failure and Atrial Fibrillation with Short RR Interval Time Series in 2015 9th International Conference on Innovative

Mobile and Internet Services in Ubiquitous Computing:452–457 2015.

9. Ghodrati Alireza, Murray Bill, Marinello Stephen. RR Interval Analysis for Detection of Atrial Fibrillation in ECG Monitors in

Annual International Conference of the IEEE Engineering in Medicine and Biology Society;2008:601–604 2008.

10. S. K. Sahoo, W. Lu, S. D. Teddy, D. Kim, and M. Feng, ``Detection of Atrial fibrillation from non-episodic ECG data: A review

of methods,'' in Proc. EMBC, Aug./Sep. 2011, pp. 4992_4995.

11. M. Malik et al., ``Heart rate variability: Standards of measurement, physiological interpretation, and clinical use,'' Eur. Heart J.,

vol. 17, no. 3, pp. 354_381, Mar. 1996.

12. X. Zhou, H. Ding, B. Ung, E. Pickwell-MacPherson, and Y. Zhang, ``Automatic Online detection of atrial _brillation based on

symbolic dynamics and Shannon entropy,'' BioMed. Eng. OnLine, vol. 13, no. 1, p. 18, 2014.

13. Zhenning Mei , Xiao Gu, Hongyu Chen, And Wei Chen, "Automatic Atrial Fibrillation Detection Based on Heart Rate

Variability and Spectral Features ", Digital Object Identifier 10.1109/ACCESS.2018.2871220, Volume 6, 2018

14. C. K. Karmakar, A. H. Khandoker, J. Gubbi, and M. Palaniswami, ``Complex correlation measure: A novel descriptor for

Poincaré plot,'' BioMed. Eng. OnLine, vol. 8, no. 1, p. 17, 2009.

15. P. D. Welch, ``The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over

short, modified periodograms,'' IEEE Trans. Audio Electroacoust., vol. AU-15, no. 2, pp. 70_73, Jun. 1967.

40.

Authors: Reddi Sridevi, T.Madhavi, Sreenivasulu Ummadisetty

Paper Title: Performance Improvement of OFDM Systems by Reducing Papr using SLM-Grasshopper

Optimization

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is an emerging technology which is been

most commonly used for transmission of data in wireless based systems. The OFDM technique is capable of

achieving more speed i.e it has higher data rate transmission which is reliable and efficient. Peak power is the

major drawback while transmitting the signal which is termed as PAPR. The signals achieves high peak value

while transmitting due to the presence of large subcarriers which are independent in nature. The amplitude of the

signal need to be reduced. Many PAPR reductions schemes have been presented in past and the reduction is done to some extents. In this paper , a new optimisation technique i.e grasshopper optimization (GOA) is

proposed. The optimization technique is combined with one of the efficient PAPR reduction technique i.e

selective mapping technique. The combination of SLM-Grasshopper help in reducing the PAPR as low as

possible and is also compared with other techniques like SLM-GA, SLM-FA and SLM-GWO. The experimental

results are performed using matlab.

Keyword: ODFM, PAPR, SLM, Grasshopper Algorithm References:

1. Y.Wu and W. Y. Zou, “Orthogonal frequency division multiplexing: A multi-carrier modulation scheme,” IEEE Trans.

Consumer Electronics, vol. 41, no. 3, pp. 392–399, Aug. 1995.

2. U1niversity of Alberta, “Home page - High capacity digital communications laboratory,” 2007. Available:

http://www.ece.ualberta.ca/~HCDC/mimohistory.html.

3. Shinsuke Hara, Ramjee, “Principle and history of MCM/OFDM,” in Multicarrier techniques for 4G mobile communication,

Artech House.

4. E. Telatar, “Capacity of multi-antenna Gaussian channels,” European Transactions on Telecommunications, vol. 10, no 3, Dec

1999.

5. Foschini G J, Gans M J, “On limits of wireless communication in a fading environment when using multiple antennas,” Wireless

Personal Communication, vol. 6.

6. Tarik Hadj Ali and A. Hamza, " A new SLM technique based on Genetic Algorithms for PAPR reduction in OFDM systems",

IEEE DOI 10.1109/CICN.2016.113DOI

7. R Sridevi and Dr. T Madhavi, "SLM Technique based on Firefly Algorithm for Reduction of PAPR in OFDM Systems ", Jour

204-208

of Adv Research in Dynamical & Control Systems, Vol. 11, 06-Special Issue, 2019.

8. R Sridevi and Dr. T Madhavi, " Reduction of PAPR in OFDM Signals Using Grey Wolf Optimization combined with SLM ",

DSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications.

9. Suverna Sengar, Partha Pratim Bhattacharya,” Performance Improvement In OFDM system By PAPR Reduction,” Signal &

Image Processing : An International Journal (SIPIJ) Vol.3, No.2, April 2012 Department of Electronics and Communication

Engineering, Faculty of Engineering and Technology, Mody Institute of Technology & Science (Deemed

University),Lakshmangarh, Dist – Sikar, Rajasthan, Pin – 332311, INDIA.

10. Chin-Liang Wang, Yuan Ouyang, “Low-complexity selected mapping schemes for peakto- average power ratio reduction in

OFDM systems”, IEEE Trans. on Signal Processing, vol. 53, no. 12, pp. 4652 – 4660, 2005.

11. Peled A, Ruiz A, “Frequency domain data transmission using reduced computational complexity algorithms,” Acoustics,

Speech, and Signal Processing, IEEE International Conference.

12. Simpson SJ , McCaffery A , HAeGELE BF . A behavioural analysis of phase change in the desert locust. Biol Rev

1999;74:461–80 .

13. Rogers SM , Matheson T , Despland E , Dodgson T , Burrows M , Simpson SJ . Mechanosensory-induced behavioural

gregarization in the desert locust Schis- tocerca gregaria. J Exp Biol 2003;206:3991–4002 .

14. Topaz CM , BernoffAJ , Logan S , Toolson W . A model for rolling swarms of lo- custs. Eur Phys J Special Top 2008;157:93–

109 .

15. Lewis A . LoCost: a spatial social network algorithm for multi-objective optimisation. In :Evolutionary computation, 2009.

CEC’09. IEEE congress on; 2009. p. 2866–70.

41.

Authors: Karuna Kumari. K , P. V. Sridevi

Paper Title: Performance Analysis of Rectangular Patch Antenna with Dielectric Constants

Abstract: The developments in communication systems, patch antennas play a very significant role in today’s

world of communication systems. The most commonly used micro strip patch antennas are Rectangular patch antennas.

The rectangular micro strip patch antenna parameters are analyzed for S-band frequency which is used for

wireless communications(2.0-2.5GHz). In this design, performance parameters like V.S.W.R, Returnloss, are

simulated and radiation patterns are observed.

Rectangular patch antenna is designed with uniform and non-uniform linear arrays. The uniform and non-

uniform arrays are designed with Dolph-Tschebycheff.

Keyword: Rectangular micro strip patch antenna, uniform array and Dolph-Tschebycheff References:

1. G. O. Young, “Synthetic structure of industrial plastics (Book style with paper title and editor),” in Plastics, 2nd ed. vol. 3, J.

Peters, Ed. New York: McGraw-Hill, 1964, pp. 15–64.

2. W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123–135.

3. H. Poor, An Introduction to Signal Detection and Estimation. New York: Springer-Verlag, 1985, ch. 4.

4. B. Smith, “An approach to graphs of linear forms (Unpublished work style),” unpublished.

5. E. H. Miller, “A note on reflector arrays (Periodical style—Accepted for publication),” IEEE Trans. Antennas Propagat., to be

published.

6. J. Wang, “Fundamentals of erbium-doped fiber amplifiers arrays (Periodical style—Submitted for publication),” IEEE J.

Quantum Electron., submitted for publication.

7. C. J. Kaufman, Rocky Mountain Research Lab., Boulder, CO, private communication, May 1995.

8. Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Electron spectroscopy studies on magneto-optical media and plastic substrate

interfaces(Translation Journals style),” IEEE Transl. J. Magn.Jpn., vol. 2, Aug. 1987, pp. 740–741 [Dig. 9th Annu. Conf.

Magnetics Japan, 1982, p. 301].

9. M. Young, The Techincal Writers Handbook. Mill Valley, CA: University Science, 1989.

10. (Basic Book/Monograph Online Sources) J. K. Author. (year, month, day). Title (edition) [Type of medium]. Volume(issue).

Available: http://www.(URL)

11. J. Jones. (1991, May 10). Networks (2nd ed.) [Online]. Available: http://www.atm.com

12. (Journal Online Sources style) K. Author. (year, month). Title. Journal [Type of medium]. Volume(issue), paging if given.


209-212

42.

Authors: D. Nataraj, J.Prasanth Kumar, B.Rama Rao, G.Karunakar

Paper Title: Compact Rhombus Ring Dual Frequency Microstrip Antenna for Wireless Applications

Abstract: In paper, a low profile microstrip patch antenna with rhombus model is designed at an running

frequency at 2.4 GHz, 5.2 GHz. Microstrip Patch Antenna are suited to non-plane and plane areas,

uncomplicated and effortless to design by used Printed Circuit Technology, it is a mechanically vigorous when

it is ascended on rigid places and when the particular patch design model and dimension were selected, it has adjustable in view of resonance frequency, radiation design, impedance and polarization. High Frequency

Structural Simulator (HFSS) is a definite component method solver for structures of EM (electromagnetic). The

outcome values are discussed and analyzed in view of S11 (Return Loss), 3D Polar Plot, Radiation design and

Gain. The value of S11 comes out to be -14.16dB for the designed antenna. The antenna measured length is

nearly half wavelength in the dielectric, it is a highly censorious parameter, which governs the antenna resonant

frequency. And the final values are simulated using High Frequency Structural Simulator.

Keyword: Microstrip, Antenna, microwave, HFSS References:

1. Kumar G. and KP Ray Broad Band Microstrip Antenna, Artech House, US, 2003.

2. Bahl. I .J and Bhartia. P, Antenna of Microstrip , MA, 1981 Artech House,.

3. Pozar.D.M, antenna of Microstrip, IEEE, Vol. 80, No.1, page 79, 1992.

4. Pues.H.F and Capelle.A.R.V.D, “an Impedance Matching technique for increasing the BW of Microstrip Antenna,” IEEE Trans.

213-216

on Antenna & Propagation, vol. 37, No. 11, Page no. 1345-54, 1989.

5. Kim.K.Oh.B, and Choi. J, “Design of dual and BW aperture stacked antenna with double-sided notches” ELECTRONIC

LETTERS, vol. 40, no. 11, page no. 643-45, 2004.

6. Sze.J.Y and Wong. K.. L, “slotted rectangular microstrip antenna for BW enhancement,” IEEE Trans. Antenna Propagation,

volume 48, no.8, page. 1149-52, 2000.

7. Kumar.Gand Gupta K.C, “Broad-Band microstrip antenna using additional resonator gap-coupled to the Radiating Edges” IEEE

Trans .on Antenna and Propagation, volume. 32, Issue 12, page. 1375-79, 1984.

8. Nataraj D, and Dr.G.Karunakar.“Four Element miniaturized Microstrip Antenna Array using Defected Ground Structure for

Satellite Application” Journal of Web Engineering, Vol. 18, No 4 (2019) 5014 – 5019

9. J.P Kumar and Dr.G. Karunakar “compact C shaped mimo diversity antenna for QB applications with hexagonal stub for

isolation improvement”. Int. JRF microwave computer aided eng. 2019..

10. Pan.SC and Wang KL, “dual frequency triangular Microstrip Antenna with A shorting pin” IEEE Trans Antenna propagation.,

Volume 45, No. 12, page. 1889-91, 2002.

43.

Authors: D. Nataraj, J.Prasanth Kumar, B.Rama Rao, G.Karunakar

Paper Title: Compact Rhombus Ring Dual Frequency Microstrip Antenna for Wireless Applications

Abstract: In paper, a low profile microstrip patch antenna with rhombus model is designed at an running

frequency at 2.4 GHz, 5.2 GHz. Microstrip Patch Antenna are suited to non-plane and plane areas,

uncomplicated and effortless to design by used Printed Circuit Technology, it is a mechanically vigorous when

it is ascended on rigid places and when the particular patch design model and dimension were selected, it has

adjustable in view of resonance frequency, radiation design, impedance and polarization. High Frequency Structural Simulator (HFSS) is a definite component method solver for structures of EM (electromagnetic). The

outcome values are discussed and analyzed in view of S11 (Return Loss), 3D Polar Plot, Radiation design and

Gain. The value of S11 comes out to be -14.16dB for the designed antenna. The antenna measured length is

nearly half wavelength in the dielectric, it is a highly censorious parameter, which governs the antenna resonant

frequency. And the final values are simulated using High Frequency Structural Simulator.

Keyword: Microstrip, Antenna, microwave, HFSS References:

1. Kumar G. and KP Ray Broad Band Microstrip Antenna, Artech House, US, 2003.

2. Bahl. I .J and Bhartia. P, Antenna of Microstrip , MA, 1981 Artech House,.

3. Pozar.D.M, antenna of Microstrip, IEEE, Vol. 80, No.1, page 79, 1992.

4. Pues.H.F and Capelle.A.R.V.D, “an Impedance Matching technique for increasing the BW of Microstrip Antenna,” IEEE Trans.

on Antenna & Propagation, vol. 37, No. 11, Page no. 1345-54, 1989.

5. Kim.K.Oh.B, and Choi. J, “Design of dual and BW aperture stacked antenna with double-sided notches” ELECTRONIC

LETTERS, vol. 40, no. 11, page no. 643-45, 2004.

6. Sze.J.Y and Wong. K.. L, “slotted rectangular microstrip antenna for BW enhancement,” IEEE Trans. Antenna Propagation,

volume 48, no.8, page. 1149-52, 2000.

7. Kumar.Gand Gupta K.C, “Broad-Band microstrip antenna using additional resonator gap-coupled to the Radiating Edges” IEEE

Trans .on Antenna and Propagation, volume. 32, Issue 12, page. 1375-79, 1984.

8. Nataraj D, and Dr.G.Karunakar.“Four Element miniaturized Microstrip Antenna Array using Defected Ground Structure for

Satellite Application” Journal of Web Engineering, Vol. 18, No 4 (2019) 5014 – 5019

9. J.P Kumar and Dr.G. Karunakar “compact C shaped mimo diversity antenna for QB applications with hexagonal stub for

isolation improvement”. Int. JRF microwave computer aided eng. 2019..

10. Pan.SC and Wang KL, “dual frequency triangular Microstrip Antenna with A shorting pin” IEEE Trans Antenna propagation.,

Volume 45, No. 12, page. 1889-91, 2002.

217-221

44.

Authors: Chakradhar Adupa, Chaithanya Mannepalli, K.Shashidhar, Srineevasa Rao Ijjada

Paper Title: Design of a High Speed and Low Power Sample and Hold Circuit for 16 Bit ADC

Abstract: Data plays an important role in the present world where the communications are becoming so

crucial. Data acquisition and communication systems are in need ofhigherresolution (i.e., 16 Bits)ADCs. The

successive approximation (SAR) ADCis suitable for medium to high range resolution applications, the basic

building block of the ADC is Sample and hold circuit which will perform a key role in data conversion from

analog data to corresponding digital data.In this paper an operational amplifier with gain 96.5 dB and phase margin of 770 with UGB of 12 MHz is designed to implement high speed and low power sample and hold (S/H)

circuit using 0.18 µm SCL CMOS Technology, for higher bit ADC applications with sampling frequency of 10

MHz consuming 182 µW power operating at 3.3 V.

Keyword: ADC,Micro-power, sampling mode, holding mode and CMOS. References:

1. KuriharaK, Kensuke K, M Uemori, Miho A and H Kobayashi.:Fundamental design consideration of sampling circuit,

Automation and Test (VLSI-DAT), IEEE, 2016.

2. Prakruthi T G and Siva Yellampalli.: Design and implementation of sample and hold circuit in 180nm CMOS technology,

International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2015.

3. Roy, Sounak and Swapna Banerjee.: A 9 bit 400 MHz CMOS double-sampled sample-and-hold amplifier, International

Conference on VLSI Design (VLSID 2008), IEEE, 2008.

4. Lim, Peter J and Bruce A. Wooley.: A high-speed sample-and-hold technique using a Miller hold capacitance, IEEE Journal of

Solid-State Circuits, 1991.

5. Iizuka, Tetsuya, Takaaki Ito and Asad A. Abidi.: Comprehensive analysis of distortion in the passive FET sample-and-hold

circuit, IEEE Transactions on Circuits and Systems I: Regular Papers, 2018.

6. Amata Luangpol, Wandee Petchmaneelumka, Thawatchai Kamsri and VanchaiRiewruja.: A Current Signal CMOS Sample-and-

Hold Circuit, International Conference on Control, Automation and Systems, 2007.

222-225

7. PhinetMahatthumthanant,ThawatchaiKamsri,Wandee Petchmaneelumka, Tiparat Sungkabunchoo and Vanchai Riewruja.: A

Current-mode CMOS Sample-and-Hold Circuit for ADC,SICE-ICASE International Joint Conference 2006.

8. Xiao Kunguang, Wang Yuxing, XuMinyuan and Zhu Chan.: A Sample/Hold Circuit for 80MSPS 14-bit A/D Converter,IEEE 8th

International Conference on ASIC, 2009.

9. M Chaithanya, R K Srivastava and Sreenivasa Rao Ijjada.: Design of a Two Stage Operational Amplifier with Zero

Compensation for Accurate Bandgap Reference Circuit,ACTA PHYSICA POLONICA A, 2019.

10. K.Shasidhar, Sreenivasa Rao Ijjada and Rajesh Kumar Srivastava.: A Two stage low power and high speed CMOS op-amp

0.18μm technology design, ACTA PHYSICA POLONICA A, 2019.

11. [11] K.Shashidhar and Sreenivasa Rao Ijjada.:Design and Implementation of CMOS Telescopic Op-Amp for Bio-Medical

Applications, International Journal of Simulation: Systems, Science and Technology, 2019.

45.

Authors: Manohar Kintali, Srinivasa Rao Sura, Nageshwara Rao Pulivarthi, Aravind Kumar Kondaji

Paper Title: Euclidean Metric based Fault Diagnosis in Power Transmission Line

Abstract: This article proposes a unique algorithm for the safety of the power transmission line.In real time

power transmission line has abnormal situations include such as sudden load changes, transient switching

operations and so on etc., In the process of protecting power transmission line with associated power system

equipment normal electromechanical relays are not reliable for faults protection as they fail to detect faults

accurately. So, the euclidean distance technique approach can work effectively even at transient situations. The recommended methodology is progressively precise to recognize faults in the electrical transmission line. With

help of MATLAB / SIMULINK software for a 300km,400kv electrical transmission line, the accuracy of the

proposed scheme was evaluated by varying fault index and fault resistances.

Keyword: Euclidean distance, power transmission line, protection , transient switching operations, faults References:

1. Mohanty SR, A. K. P. and Routray R, “A Cumulative Sum- Based Fault Detector for Power System Relaying Application,” IEEE

Trans. on Pow. Del., vol.23,No.1 Jan 2008.

2. Wang H, Kerthipala WWL,” Fuzzy-neuro approach to fault classification for transmission line protection”. ,IEEE Trans. , Pow.

Del., vol.13,4., 1998 Oct., pp 1093-104.

3. K. M. Silva, B. A. Souza and N.S.D. Brito,” Fault detection and classification in transm. lines based on wavelet transform ANN”,

IEEE Trans. Pow. Del.., vol.21, no.4, Oct.2006.pp.2058-2063.

4. D. P. Bandaru and A. G. Shaik, "Wind Farm Connected Distr. Sys. Protection Using Wavelet-Alienation Coefficient Technique,"

2018 3rd Int. Conf. for Conv. in Tech. (I2CT), Pune, 2018, pp. 1-6.

5. D.P. Bandaru and A. G. Shaik, “Wavelet-Alienation Coefficient based Protection of Distr. System” Intern. Journal of Engineering

and Adv. Tech. (IJEAT), Vol-8, Issue-6S3, September 2019, pp. 828-835.

226-231

46.

Authors: Anjani Devi N, Ajaykumar Dharmireddy, Sreenivasa Rao Ijjada

Paper Title: Performance Analysis of Double Gate Hetero Junction Tunnel Fet

Abstract: In this paper, a novel heterojunction tunnel field-effect transistor (HTFET) using Sentaurus

technology computer-aided design (TCAD) simulations has been presented. The InAs/GaSb compound materials

are used in both single gate heterojunction TFET (SG-HTFET) and Double gate heterojunction TFET (DG-

HTFET) with SiO2 gate oxide layer to increase performance of the device.The implemented SG-HTFET and DG-HTFET device are increase the TFET's cross-sectional tunnel area. This result develops the subthreshold

swing (SS) by 2.45 times, drive current (ION) is close to 10-6 A/µm, leakage current (IOFF) is close to 10-17

A/µm and also diminish the ambipolarity of the device compared to the TFET.

Keyword: Ambipolarity, Heterojunction TFET (HTFET), Double gate hetrojunction transistor (DG-HTFET),

tunnelling field-effect transistor (TFET). References:

1. Aryan Afzalian,Gerben doorknobs,T Zer-Min Shen,Matthias Passlack. “A high performance InAs/GaSb Core-shell nanowire

line tunneling TFET” An atomistic mode space NEGF study, Electron design society,2019.

2. 2008 update of the ITRS, http://www.itrs.net

3. Anjani Devi N, Ajaykumar Dharmireddy, Sreenivasa Rao Ijjada, “Performance Characteristics Of TFET Over MOSFET, DG-

MOSFET and FinFET” International journal of innovative technology and exploring engineering (IJSAEE),pp187-193,2019.

4. Muhammad Elgamal and Mostafa Fedawy.: Optimizing Gate-on-Source Overlapped TFET Device Parameters by Changing Gate

Differential Work Function and Overlap Dielectric, International Conference on Innovative Trends in Computer Engineering,

February 2019.

5. D.Ajaykumar,I.srinivasarao,A.Ramkumar“A Perspective Review of Challenges on FinFET Technology in Low Power and High

Speed Circuit Designs” Springer Lecture Notes in Electrical Engineering (LNE), 2019.

6. TCAD Taurus Device, http://www.synopsys.com

7. S.Satya Narayana , D.Ajay Kumar, Dr.Sreenivasarao Ijjada “Low Energy utilization of 14nm FINFET technology 6T-SRAM

style” Journal of Emerging Technologies and Innovative Research (JETIR), Vol. 5, Issue 12,pp.112-117, December 2018.

8. David C, Francesc M, Stanimir V.: Prospects of Tunnel FET devices for Energy Harvesting Power Management Circuit design,

Journal of Electronic device society, 2018.

9. Sreenivasa Rao I, Chaithanya M and Md. Hameed Pasha.: FinFET Modeling using TCAD, Springer Lecture Notes in Electrical

Engineering (LNE), 2017.

10. M Schmidt, A Schafer, R A Minamisawa, D Buca, S Trellenkamp, J M Hartmann, Q T Zhao and S Mantl.: Line and Point

Tunneling in Scaled Si/SiGe Heterostructure TFETs, IEEE Electron Device Letters, JULY 2014.

11. M. Enz, “Indirect Electron Tunneling,” [Online document], May 1998, Available: http://mp.physics.um.edu

12. Memisevic, Elvedin “Vertical III-V Nanowire Tunnel Field-Effect “Doctoral Thesis Electrical Engineering Lund, September

2017.

13. Mandeep Singh, Gaurav Kumar, Sushanta Bordoloi and Gaurav Trivedi “A study on modeling and simulation of MultipleGate

MOSFET” Journal of Physics: Conference Series 759 (2016) 012093 doi:10.1088/1742-6596/759/1/012093

14. K.Shiromani Balmukund,Rahi1 • Pranav Asthana,Shoubhik Gupta. “Heterogate junctionless tunnel field-effect transistor: future

232-234

of low-power devices” J Comput Electron (2017) 16:30–38 DOI 10.1007/s10825-016-0936-9

15. D. Shahrjerdi, D. Garcia-Guteirrez, S. Kim, M. M. Hasan, K. Varahramyan, E. Tutuc, and S. K. Banerjee, “Fabrication of Self-

aligned Enhancementmode n-channel GaAs MOSFETs Employing a Wet Clean Process for GaAs Substrates,” ECS Transactions,

Vol. 16, Issue 4, p. 59 (2008).

47.

Authors: A. Abhishiktha, S. Neeraja, K.V. Satya Kumar, A. Lakshmi Narayana

Paper Title: Spectral Efficiency of FBMC Over OFDM System

Abstract: Significant wireless broadband technology used in various cellular standards is Orthogonal

Frequency Division Multiplexing (OFDM) which will make use of Multi Carrier Modulated (MCM) systems.

Even though OFDM has numerous advantages, it is hard to employ OFDM for complex networks. It is very hard

to establish synchronization in mobile environments as it is difficult to predict the Doppler shifts of different

users, which results in inter carrier interference (ICI). Further, filters associated with OFDM carrier have comparatively large sidebands which outcomes in Out of Band (OOB) radiations. Insufficient spectral usage is

provided by CP-OFDM by using more guard band. So the problems caused by traditional OFDM/CP-OFDM

can be answered by employing a new system termed as Filter Bank Multi Carrier (FBMC) System. It is a form

of MCM and it can be considered as an advanced cyclic-prefix (CP-OFDM). In OFDM, whole band gets filtered

while in FBMC, each sub carrier band is independently filtered. The primary objective of this work is to relate

the performance of 5G modulation technique such as FBMC against OFDM and to suggest an ideal waveform

for 5G communication in regard to high spectral efficiency, spectral density, BER and less Peak to Average

Power Ratio (PAPR). Keyword: Filter Bank Multi Carrier (FBMC), Orthogonal Frequency Division Multiplexing (OFDM), PAPR,

Spectral Efficiency. References:

1. Behrouz Farhang-Boroujeny, “OFDM versus Filter Bank Multicarrier”, Development of Broadband Communication Systems,

IEEE Signal Processing Magazine, pp. 93-112, May 2011.

2. Behrouz Farhang-Boroujeny, “Filter Bank Multicarrier Modulation: A Waveform Candidate for 5G and Beyond”, in Hindawi

Publishing Corporation, Advanced in Electrical Engineering, Volume 2014, Article ID 482805.

3. C. Kim, Y. H. Yun, K. Kim and J. Seol, "Introduction to QAM-FBMC: From Waveform Optimization to System Design,"in

IEEE Communications Magazine, vol. 54, no. 11, pp. 66-73, November 2016.

4. R. Chandrasekhar, M. Kamaraju, M. V. S. Sairam and G. T. Rao, "PAPR reduction using combination of Precoding with Mu-

Law companding technique for MIMO-OFDM systems," 2015 International Conference on Communications and Signal

Processing (ICCSP), Melmaruvathur, 2015, pp. 0479-0483.

5. R. Chandrasekhar, M. Kamaraju, K. RushendraBabu, B. Ajay Kumar “Optimization of Peak to Average Power Ratio Reduction

using Novel Code for OFDM Systems” Springer International Conference on Microelectronics, Electromagnetic and

Telecommunication (ICMEET-2015) 18th -19th December 2015, Visakhapatnam, ISBN 978-81-322-2726-7, page numbers 267-

275.

6. F. Schaich and T. Wild, "Waveform contenders for 5G — OFDM vs. FBMC vs. UFMC," Communications, Control and Signal

Processing (ISCCSP), 2014 6th International Symposium on, Athens, 2014, pp. 457‐460.

7. M. Bellanger. FS‐FBMC: An alternative scheme for filter bank based multicarrier transmission. In 5th International Symposium

on Communications Control and Signal Processing (ISCCSP), pages 1–4, May 2012

8. K. Krishna Kishore, P.Rajesh Umar, “Comprehensive Analysis of UFMC with OFDM and FBMC” in Indian Journal of Science

and Technology, Vol 10 (17), May 2017

9. M. Payaro,´ A. Pascual-Iserte, and M. Najar,´ “Performance comparison between FBMC and OFDM in MIMO systems under

channel uncertainty,” in Proceedings of the European Wireless Conference (EW ’10), pp. 1023–1030, April 2010.

10. 10. T. Ihalainen, A. Ikhlef, J. Louveaux, and M. Renfors, “Channel equalization for multi-antenna FBMC/OQAM

receivers,” IEEE Transactions on Vehicular Technology, vol. 60, no. 5, pp. 2070– 2085, 2011.

235-237

48.

Authors: Sai Reddy.B, S.Neeraja, Kiran Kumar Vemula

Paper Title: Plant leaf Damage Detection using Segmentation

Abstract: A primary source of livelihood is agriculture. In developing country like India, wide-ranging

employment opportunities are provided by Agriculture for the villagers. Various crops are included in the agricultural system of India and 70% of the population depends upon agriculture as reported by survey. Because of lagging in technical knowledge, manual cultivation is adopted by majority of the Indian farmers. The kind of

crops that grows well on their land is unaware by the farmers. The agriculture production is affected by the heterogeneous diseases that affect the plant leaves and result in the productive loss. Moreover, the quality as well as quantity of the agricultural production is reduced by it. A key role is played by the leaves in the rapid

growth of the plants and production of crops. The identification of diseases related to plant leaf is a difficult task for the farmers and for the researchers. At present, various pesticides were sprayed on the plants that directly or indirectly affect the human health and the economy. Various methods must be adopted for detecting these kinds

of plant diseases. This paper presents a review of various plant diseases and several advanced technologies in detecting the diseases.

Keyword: Plant leaf damage, superpixel, segmentation, active contour. References:

1. Sachin D. Khirade and A. B. Patil. “Plant Disease Detection Using Image Processing.” International Conference on Computing

Communication Control and Automation (ICCUBEA), 2015 International Conference on,pp. 768-771. IEEE, 2015.

2. Sannakki, Sanjeev S., Vijay S. Rajpurohit, V. B. Nargund, and Parag Kulkarni. “Diagnosis and classification of grape leaf

diseases using neural networks.” In computing, communications and Networking Technologies (ICCCNT), 2013 Fourth

International conference on, pp. 1-5 IEEE, 2013.

3. Kutty, SuhailiBeeran, Noor Ezan Abdullah, HabibahHashim, and Aida Sulinda. “Classification of Watermelon Leaf Diseases

238-243

Using Neural Network Analysis.” In Business Engineering and Industrial Applications Colloquium (BELAC), 2013 IEEE, pp.

459-464. IEEE, 2013.

4. Savita N. Ghaiwat, Parul AroraDetection and classification of plant leaf diseases using image processing techniques: a review Int

J Recent AdvEngTechnol, 2 (3) (2014), pp. 2347-2812 ISSN (Online)

5. R. Badnakhe Mrunalini, Prashant R. DeshmukhAn application of K-means clustering and artificial intelligence in pattern

recognition for crop diseases IntConfAdvInfTechnol, 20 (2011) 2011 IPCSIT.

6. S. Arivazhagan, R. NewlinShebiah, S. Ananthi, S. Vishnu VarthiniDetection of unhealthy region of plant leaves and classification

of plant leaf diseases using texture features AgricEngInt CIGR, 15 (1) (2013), pp. 211-217.

49.

Authors: M Syamala, B Kanthamma, U Jaya Lakshmi

Paper Title: Design and Simulation of Slot Dimensions in Aperture Coupled Hemispherical Dielectric Resonator

Antenna

Abstract: Aperture coupled novel shaped Hemispherical Dielectric Resonator Antenna (HDRA ) and the

various dimensions of slots are designed and analyzed by hfss software. The dielectric constant of dielectric

hemisphere is € =9.8 and the substrate of dielectric constant is 2.96. aperture coupled novel shaped

Hemispherical Dielectric Resonator Antenna (HDRA ) parameters are presented in this paper.. The effects of

changing the slot length , slot width and position of slot on the antenna parameters and are presented in this

paper, which are used for directive gain applications. As the change of slot dimension , it is observed that at

the resonant frequency, it gives high gain and high negative return loss.

Keyword: HDRA, Aperture Coupled, Antenna parameters References:

1. “ Theory and experiment of an aperture coupled hemispherical dielectric resonator antenna”, by K.W. Leung,and co... L, ,.

Vol.AP-43, Issue 11, IEEE trans Antenna Propagation. pp. 1192-1198,Nov1995 2. “Resonant hemispherical dielectric antenna," by McAllister and co., Vol. 20, No. 16, Electronics Letters , page no.s 657-659,

1984. 3. “New half hemispherical dielectric resonator antenna for broadband monopole type radiation," by Guha, D. and Y. M. M. Antar,

IEEE Transactions on Antennas and Propagation, Vol. 54, No. 12, 3621- 3628, Dec. 2006. 4. “Analysis of a broadband hemispherical dielectric resonator antenna with a dielectric coating," by K.L Wong. and Chen N.

C., journal Microwave and Optical Technology , Vol. 7, No. 2,

5. “The slot coupled hemispherical dielectric resonator antenna with a parasitic patch: Applications to the circularly polarized antenna and wide band antenna," by K. W Leung, . and H. K. Ng,Vol. 53, No. 5, , IEEE Transactions on Antennas and Propagation, pg no.s 1762-1769, May 2005.

6. “Hemispherical DRA antennas mounted on or embedded in circular cylindrical surface for producing omnidirectional radiation pattern," by S. H Zainud-Deen,., N. A. El-Shalaby, and Awadalla, K.H , Vol. 4, International Journal of Communications, Network and System Sciences, pgno.s 601-608, Sep. 2011.

244-247

50.

Authors: M.Ravi Shankar, A.Sreenivas

Paper Title: Estimation of Chromatic Dispertion with FR. FT in Optical Cable

Abstract: The Telecom operators are in a great pressure to accommodate their optical back bone to migrate

to new mobile generation. One of the most impact parameter to restrict the propagating distance is the Chromatic

Dispersion. So in order to avoid the effect estimate the cause .With these lines, in our paper we have introduced

a novel technique to estimate CD using FrFT in the optical fiber cable [2]. The technique involves in the

scanning the chirping order for determining the CD. In this method cumulative CD in the optical media can be

estimated shall be less than 80 ps/nm/km and total CD less than 30 ns/nm

Keyword: OF Cable, Chromatic Dispersion, Fr.FT, Single Mode OF References:

1. M.Ravisankar, A.Sreenivas, ”A Review on Estimation of Chromatic Dispersion using Fractional Fourier Transform in Optical

Fiber Communication", 2018 International Conference on Smart Systems and Inventive Technology (ICSSIT), IEEE explore

2018.

2. G. P. Agrawal, Nonlinear Fiber Optics (5th ed.), New York: Academic, 2013.

3. Ozaktas, H.M., “Relationships among ray optical, Gaussian beam, and fractional Fourier transform descriptions of first-order

optical systems”, Optics Communications, 19971101.

4. Bultheel, A.. "Computation of the fractional Fourier transform", Applied and Computational Harmonic Analysis, 200405.

5. Billur Barshan, Birsel Ayrulu. "Fractional Fourier transform pre-processing for neural networks and its application to object

recognition", Neural Networks, 2002.

6. Z. Pan, C. Yu, and A. E. Willner, “Optical performance monitoring for the next generation optical communication networks,”

Opt. Fiber Technol., vol. 16, no. 1, pp. 20–45, 2010.

7. A. Yang and X. Chen, “Method for measuring chromatic dispersion of optical fiber link through fractional order Fourier

transformation,” China Patent Application no. CN 201,410,752,087, Publication no. CN104467969, Mar. 25, 2015.

8. Sejdic, E.. "Time-frequency feature representation using energy concentration: An overview of recent advances", Digital Signal

Processing, 200901

9. H. Zhou et al., “Fractional Fourier transformation-based blind chromatic dispersion estimation for coherent optical

communications,” J. Light wave Technol., vol. 34, no. 10, pp. 1–1, May 2016.

10. Yang, Liu, Chen, “A FrFT based method for measuring chromatic dispersion and SPM in optical fibers” Optical Fiber

Technology, Elsevier 34 pp 59 -64 2017

11. Sole-Pareta,Josep, Suresh Subramanian, Davide Careglio, and Salvatore "Cross-Layer Approaches for Planning and Operating

Impairment-Aware Optical Networks", Proceedings of the IEEE, 2012.

12. Lu, Yang, Chams Baker, Liang Chen, and Xiaoyi Bao. "Chromatic-Dispersion Monitor Based on a Differential Phase-Shift

Method Exclude quotes Off Exclude bibliography Off Exclude matches Off Using a Kerr Phase-Interrogator", IEEE Photonics

Journal, 2015.

13. M.Ravisankar, A.Sreenivas, “CD Estimation using FrFT in SM OFC ", Vol 11,10 –SI,2019 .

248-252

51.

Authors: Ch.Rajasekhar, D.Srinivasa Rao, Ch.Venkata Rao, V.B.S.Srilatha Indira Dutt

Paper Title: Throughput and Fairness Optimal Scheduling for High Speed Cell Edge Users in LTE Networks

Abstract: Guaranteeing Quality of Service (QoS) to mobile users is the primary aim of cellular broadband

system like Long Term Evolution (LTE). Radio resource allocation and scheduling are two important functions

in the LTE networks to enhance the quality of service. For increasing the generally user experience, an efficient

radio resource allocation and Scheduling algorithm should be used. However, this became a non-trivial task as

the demands and requirements of user data changes day-to-day. In these situations, with the limited radio

resources, maximum system capacity can be obtained on expense of unfair share of the resources. In this work,

high speed cell edge users are considered as they experience poor signal strength and their quality of service

degrades when they move away from Evolved-Nodes (e-Nodes). Here, a novel scheduling algorithm has been

introduced to extend the cell edge throughput amid during high mobility scenarios. The proposed scheduling

scheme will be compared with the conventional schemes like best CQI, RR and PF in terms of throughput and

fairness. It is presented that the proposed scheme gives better performance against the conventional ones in the

chosen scenario.

Keyword: bandwidth, edge users, fairness, latency, throughput References:

1. C.V.N. Index, Global Mobile Data Traffic Forecast Update 2014–2019, (2014) White Paper.

2. CoşkunDeniza, O. GokhanUyanb, VehbiCagriGungorb “On the Performance of LTE Downlink Scheduling Algorithms: A case

study on Edge Throughput”, Elsevier Computer Standards and Interferences, Vol 23, No.3, pp 97-107, 2018.

3. Mattia Carpin, Andrea Zanella and Jawad Rasool,” A performance comparison of LTE downlink scheduling algorithms in time

and frequency domains”, IEEE Mobiles and Wireless Networking Symposium, Vol 7, No.4, pp 3173-3179,2015.

4. SamiaDardouri, RidhaBoullegue,” A New Scheduling Algorithm for Real Time Communication in LTE Networks”, International

Conference on Advanced Information Networking and Applications Workshop, IEEE Computer Society, pp 267-271,2015.

5. comparison of LTE downlink scheduling algorithms in time and frequency domains”, IEEE Mobiles and Wireless Networking

Symposium, Vol 7, No.4, pp 3173-3179,2015.

6. SamiaDardouri, RidhaBoullegue,” A New Scheduling Algorithm for Real Time Communication in LTE Networks”, International

Conference on Advanced Information Networking and Applications Workshop, IEEE Computer Society, pp 267-271,2015.

7. C. Mehlführer, J.C. Ikuno, M. Simko, S. Schwarz, M. Wrulich, M. Rupp, The Vienna LTE simulators-enabling reproducibility in

wireless communications research, EURASIP J. Adv. Sig. Proc. 2011.

8. S. Schwarz, J.C. Ikuno, M. Simko, M. Taranetz, Q. Wang, M. Rupp, Pushing the limits of LTE: a survey on research enhancing

the standard, Access IEEE pp.51–62,2013.

9. H. Kim, Y. Han, A proportional fair scheduling for multicarrier transmission systems, IEEE Communication Letters Vol.9, no.3,

pp.210–212, 2011.

10. Z. Sun, C. Yin,G. Yue, Reduced-complexity proportional fair scheduling for OFDMA systems, 2006 International Conference on

Communications, Circuits and Systems, pp. 1221–1225,2006.

253-258

52.

Authors: Sandeep Sivvam, Neeraja S, Jyothi Lakshmi T S, Dharma Raj C

Paper Title: Empirical Analysis of Intelligent Handover Mechanism using Numerous Fuzzy Strategies

Abstract: the communication world, each and every individual belongs different types of communication

modes to establish their data transmission needs around globe. Most preferable and well known communication

medium is a Wireless Communication Mode, which provides stability and standardization to users to make their communication perfect. However, the communication lacking occurs due to low-latency and energy oriented

issues, which indirectly affects the overall network throughput and it leads the overall network lifetime to low.

So, there is a necessity to introduce a new algorithm to produce a stabilized platform to satisfy the user's

communication needs with proper Quality-of-Service (QoS) norms. A new system is introduced, which is

helpful to achieve high throughput and energy efficient communication between clusters by using fuzzy laws. In

this system, Genetic Algorithm is used to generate Optimized Solutions with high Accuracy as well as it is used

to reduce number of handovers by means of identify the energy level of each member nodes and design the

pathway for communication according to that. And if dynamically generates the Node Analyzer (NA) for

identifying the best nodes for communication and using that way the communication is established. The main

concept in the proposed approach is achieved by means of designing a new algorithm called "Fuzzy Logic based

Handover Decision Algorithm (FLHDA)", which provides better efficiency by means of integrating the

following three different approaches such asFuzzification Stage, Fuzzy Inference Stage andDeffuzification Stage. For all the entire proposed approach guarantees that the outcome assures the Quality-of-Service, which is

achieved by means of enhanced throughput, minimized end to end delay and energy improvements with less

consumption strategies.

Keyword: Wireless Communication, Handover, Fuzzy Strategies, Node Analyzer, Fuzzy Logic based

Handover Decision Algorithm, FLHDA, Fuzzification Stage, Fuzzy Inference Stage andDeffuzification Stage,

Quality-of-Service (QoS). References:

1. P.P. Bhattacharya, Application of artificial neural network in cellular handoff management, IEEE International Conference on

Conference on Computational Intelligence and Multimedia Applications (ICCIMA), 2007, pp. 237–241.

2. N. Nasser, S. Guizani, E. Al-Masri, Middleware vertical handoff manager: a neural network-based solution, IEEE International

Conference on Communications, ICC’07, 2007, pp. 5671–5676.

3. M. Okwori, E.N. Onwuka, A.M. Aibinu, O.C. Ugweje, Implementation of a locator-based route switching scheme for improved

routing in proxy mobile IPv6, Int. J. Wirel. Microw. Technol. (2014) 119.

259-264

4. S.J. Wu, An intelligent handover decision mechanism for heterogeneous wireless networks, Sixth International Conference on

Networked Computing and Advanced Information Management (NCM), 2010, pp. 688–693.

5. Q. Guo, J. Zhu, X. Xu, An adaptive multi-criteria vertical handoff decision algorithm for radio heterogeneous network, 2005

IEEE International Conference on Communications (ICC), 2005, pp. 2769–2773.

6. L. Barolli, F. Xhafa, A. Durresi, A. Koyama, A fuzzy-based handover system for avoiding ping-pong effect in wireless cellular

networks, International Conference on Parallel Processing-Workshops ICPP-W’08, 2008, pp. 135–142.

7. R. Chai, J. Cheng, X. Pu, Q. Chen, Neural network based vertical handoff performance enhancement in heterogeneous wireless

networks, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM),

2011, pp. 1–4.

8. P. Moungnoul, P. Pinprasert, T. Paungma, Handoff decision in cellular mobile system using neural network accessed online

October 2016.

9. S. Kunarak, R. Sulessathira, E. Dutkiewicz, Vertical handoff with predictive RSS and dwell time, 2013 IEEE Region 10

Conference (31194) TENCON, 2013, pp.1–5.

10. L. Xia, L.G. Jiang, C. He, N. Nasser, S. Guizani, E. Al-Masri, A novel Fuzzy logic vertical handoff algorithm with aid of

differential prediction and pre-decision method, 2007 IEEE International Conference on Communications, ICC’07, 2007, pp.

5665–5670.

11. S. Kabahuma, O.E. Falowo, Analysis of network operators revenue with a dynamic pricing model based on user behaviour in

NGWN using JCAC, Proceedings of the Southern Africa Telecommunication Networks and Applications Conference

(SATNAC), 2010, pp. 3258–3272.

12. Chandralekha, P.K. Behera, Optimization of vertical handoff performance parameters in heterogeneous wireless networks, Int. J.

Modern Eng. Res. (IJMER) ISSN: 2249-6645, 1(2), (2011) pp. 597–601.

53.

Authors: P.A. Kumar, Phani Kumar.Ch.R

Paper Title: Simplified Measurement on the Impact of Radiation by Mobiles

Abstract: In fast growing world Mobile phone has become part of the human life. Specific Absorption is a

measurement for the amount of Electromagnetic energy that has been absorbed by human tissue ,.

Electromagnetic Radiation associated with Mobile Phones is always as an issue that has to be addressed for

human safety, Particularly for children. More focus has been paid to induced SAR in the human head when

exposed to EM Waves emitted from mobile Phone Antenna, but while using mobile phone the user gets

exposed to a dangerous electromagnetic Radiations. ICNIRP Prescribed some guidelines for EM Exposure

Level for Public. The Present paper is discuss the SAR Values of different Mobile Phones, Measured How

much People are Aware of SAR Values are given as a survey. The study is compromised individuals that

visited in the survey site .The awareness is assessed using structured questions and it was recorded to measure

the awareness.

Keyword: EM exposure, ICNIRP,SAR, Socio-Demographic References:

1. S Bhagat,Varshney S,Bist SS,Goel D,Mishra S,Jha VK 2016 Effects of auditory function of Chronic exposure to Electromagnetic

field for Mobile phones,Ear Nose throat ,Pubmed PMID :27551848

2. Jae-gon lee,jeong-Haelee 2017 Integration of PIFA and AMC Structure for Pentaand Mobile Terminals in International Journal of

Antennas and Propagation,Hindawai

3. Amirhossein Nazeri,A.Abdolali,M.Mehadi May 2019 2019 “An Extremely Safe Low-SAR antenna with study of its

Electromagnetic Biological effectson human head” ,Springer

4. P.R.Arul Jenshiya,K.Madhan Kumar and H.RiyazFathima 2019 Evaluation of Specific Absorption Rate of Electromagneti

Radiation on human brain-Microstrip Patch Antenna ICT Journal on Communication Technology

5. J Khan,D. Ali Sehrai,U. Ali Sep 2018 Design of Dual band 5G antenna array with SAR Analysis for Future Mobile Handset,

Journal of Electrical Engineering & Technology.

6. Nur Iiham Ishak,Norhudah Seman,Mohammad Ramlee Kamarudin and Noor Asmawathi Samsuri 2017 “Specific Absorption

Rate investigation on Multiple Antennas” international Symposium on Antennas and Propagations.

7. Israa H.Ali,Huda I.Hamed and Ali I.Abdalla, 2018 “Design and Comparison of two types of antennas for SAR Calculation in

Wireless Applications” Proceedings of International Conference on Advances in Science and Engineering Technology

8. Kumar N and G.Kumar Dec 2009 “Biological effects of cell tower Radiations on Human body “International Symposium on

Microwave and optical Technology

9. Bary-El Hamdy, M.Youssef .Umar, Khaled T.Ramdan 2018 Influence of Thermal Wave Emitted by the Cellular Devices on The

Human Head,Springer.

10. Prabir Kumar Datta,PVY Jayasree ,Baba VSSNS June 2016 SAR Reduction in the Modeled Human Head for the Mobile Phone

using different material shields, Human-Centric Computing and information Sciences

11. V.Bharat Kumar,V.Gopi,,P.V.Y.Jaya sree April 2014 Evaluation of Electromagnetic absorption in Human head from Mobile

Phones IOSR Journal of Engineering

12. Raj Gopal B,Raja Sekhar April 2014 SAR assessment on Three Layerd Spherical Human head Model irradiated by Mobile Phone

Antenna,Hum-Centric Compute Information

265-268

54.

Authors: Rajidi Sahithi, V. Madhu Kumar, T.V.Ramana

Paper Title: Performance of WiMAX Physical layer MIMO-OFDM System under Rayleigh Fading Channel

Abstract: WiMAX infrastructure will meet the needs of multiple consumers at very low cost and without the

time required to install a wired network, for those who need quick access to rural areas where cable systems

cannot be feasible because of the distances and costs involved. Multi-Input (MIMO) technology in combination

with orthogonal frequency-division multiplexing (MIMO-OFDM) is an appealing architecture for wireless systems of the next decade. This system level approach has been used in many WiMAX simulator

developments, both public and private. In this paper we are investigating the performance of Wi- MAX PHY

layer for PHY-layer modifications of 2×2 MIMO (multiple-input multiple-output), spatial multiplexing, to

provide high throughput, bandwidth efficiency and low bit error rate at high data rates. The paper provides

necessary description for the simulation process of WiMAX model, addresses the important elements for

specific inaccuracies that are existed in the physical layer with the BER for various modulation schemes.

269-273

Keyword: WiMAX; IEEE 802.16; OFDM; MIMO References:

1. IEEE Standard for Local and Metropolitan area networks Part 16, The Institute of Electrical and Electronics Engineering, Inc.

Std. IEEE 802.16d-2004.

2. Ghosh, A.; Wolter, D.R.; Andrews, J.G.; Chen, R., “Broadband wireless access with WiMax/802.16: current performance

benchmarks and future potential”, Communications Magazine, IEEE, Vol.43, Iss.2, Feb. 2005, Pages: 129- 136.

3. IEEE 802.16 and WiMAX, “http: //www.wimaxindustry.com /wp/papers/intel_80216_wimax.pdf”, last accessed on 15.05.07.

4. Rohtang Saxena & Neeraj Shrivastava (2016). “Energy Efficient System Using MIMO-OFDM” International Journal of

Electrical, Electronics And Data Communication, Volume-4, Issue-12.

5. Mishra, Chandrakant & Lal, Sonu, (2016). “Survey Paper on Performance Evaluation of WiMAX (IEEE 802.16) System using

Space Time Block Coding Technique”, JARCSSE, 6(1), 682-686.

6. [6].Nidhi Kishor Molgi Suresh R. (2016) “Analysis ofMIMO-OFDM using different ModulationTechniques” International

Journal of Computer Applications, Volume 153 – No 6

7. Seyedzadegan, Mojtaba & Othman, Mohamed,(2013). “IEEE 802.16 WiMAX Overview,WiMAX Architecture”, International

Journal ofComputer Theory and Engineering, 5(5), 784-787.

55.

Authors: Lakshmi Balla, Venkata Krishna Sharma Gollakota

Paper Title: Single Stage 38 GHz LNA using 0.1 µm GaAs HEMT

Abstract: Design of a 38 GHz low noise amplifier using a single stage common source (SSCS) with source

degenerated with inductor topology with gain of 9 dB and noise figure (NF) of 1.5 dB using 0.1 µm GaAs

pHEMT as active device is proposed in this paper. CS with source degenerated with inductor topology of 0.1 µm

GaAs pHEMT resulted a very low NF compared to other HEMT technologies as well as other CMOS

technologies at this RF range.

Keyword: pseudomorphic high electron mobility transistor (pHEMT); gallium arsenide (GaAs); Low noise

amplifier; inductive source degeneration; CS topology; radio frequency (RF). References:

1. Saito, T., Oohashi, Y., Kurihara, H., Hirachi, Y., Kasuga, T., & Miyazawa, K. (1989, June). A cryogenic 43-GHz-band low-noise

amplifier for radio astronomy. In IEEE MTT-S International Microwave Symposium Digest (pp. 853-856). IEEE.

2. Wang, H., Lo, D. W., Lai, R., Yang, C. C., & Berenz, J. (1995). Cryogenically cooled performance of a monolithic 44-GHz InP-

based HEMT low-noise amplifier. IEEE microwave and guided wave letters, 5(9), 281-283

3. Sun, X., Dupuis, O., Linten, D., Carchon, G., Soussan, P., Decoutere, S., & Beyne, E. (2006). High- Q above-IC inductors using

thin-film wafer-level packaging technology demonstrated on 90-nm RF-CMOS 5-GHz VCO and 24-GHz LNA. IEEE

transactions on advanced packaging, 29(4), 810-817.

4. Chang, C. P., Chien, W. C., Su, C. C., Wang, Y. H., & Chen, J. H. (2010). Linearity improvement of cascode CMOS LNA using

a diode connected NMOS transistor with a parallel RC circuit. Progress In Electromagnetics Research, 17, 29-38

5. Chang, C. C., & Chiang, Y. C. (2012, November). Low-noise amplifier with 12.1 dB gain and 5.456 dB NF for V-band

applications in GaAs 0.15 μm pHEMT process. In 2012 IEEE International Symposium on Radio-Frequency Integration

Technology (RFIT) (pp. 16-18). IEEE.

6. Sato, M., Niida, Y., Kamada, Y., Ozaki, S., Ohki, T., Makiyama, K., & Joshin, K. (2016, May). Q-Band InAlGaN/GaN LNA

using current reuse topology. In 2016 IEEE MTT-S International Microwave Symposium (IMS) (pp. 1-4). IEEE.

274-276

56.

Authors: Gudimella Krishna Kishore, GollakotaVenkata Krishna Sharma, Bonthu Brahma Reddy

Paper Title: Data Analysis and Data Sensing Modules for WSN using Verilog

Abstract: Wireless Sensing Networks (WSNs) are allocated choosing up ecological communities prepared

with computational intelligence in addition to radio discussion competencies. The 'nerve cells' of a ordinary

WSN as layout module could provide nodes expected for every and each sensing unit which can be miniature,

lesser price, effective modeling for different assets with presenting extraordinarily extremely-speedy

deployment, versatility and strength-efficient in current style techniques. Wireless Sensing Networks for business objectives or I-WSNs have sure requirements to achieve load for every and every sensors so one can be

placed around the plant to test the design managing elements, for troubleshoot and also upgrade the called for

test logs. In current layout, we gift a complete custom format of a sensor node for Industries providing Wireless

Sensing Networks with the number one emphasis at the constructing elements of the utility. Our style passes at

the additives of facts driven changes on components as 6-channel 12-bit Delta-Sigma ADC, a FSM-modular

controller thinking about interfaced serial and same M-S (grasp and servant) operated interfaces where trans-

receiver is layout with OFDM RF Tx. Present designed estimates an unique modular shape and also

improvisator to utilize OFDM based totally upon the RF signaling for OFDM subsystem attending to tracking

for a ways better reliability in Wireless Sensing Networks. This made tool has actually long past via Xilinx

FPGA Airtex-6 with Front-case RTL layout in addition to modeling to simulate in addition to synthesize using a

selection of EDA equipment and the following outcomes have been severely checked in this paper.

Keyword: FPGA , OFDM , Wireless Sensing Networks, Verilog References:

1. C.Walravens and W. Dehaene, “Design of a low-energy data processing architecture for wsn nodes,” in Proc. Design, Automat.

Test Eur. Conf.Exhibit., Mar. 2012, pp. 570–573.

2. H. Karl and A. Willig, “Protocols and Architectures for Wireless Sensor Networks”, 1st ed. New York: Wiley, 2005.

3. S. Mysore, B. Agrawal, F. T. Chong, and T. Sherwood, “Exploring the processor and ISA design for wireless sensor

network applications,” in Proc. 21th Int. Conf. Very-Large-Scale Integr. (VLSI) Design, 2008, pp. 59–64.

277-281

4. P. Sanders and J. Träff, “Parallel prefix (scan) algorithms for MPI,” inProc. Recent Adv. Parallel Virtual Mach. Message

Pass. Interf., 2006, pp. 49–57.

5. G.Blelloch, “Scans as primitive parallel operations,” IEEE Trans.Comput., vol. 38, no. 11, pp. 1526–1538, Nov. 1989.

6. N. Westeand D. Harris, “CMOS VLSI Design: A Circuits and Systems Perspective. Reading”, MA, USA, Addison Wesley,

2010.

7. M. Hempstead, D. Brooks, and G. Wei, “An accelerator-based wireless sensor network processor in 130 nm cmos,” J. Emerg.

Select. Topics Circuits Syst., vol. 1, no. 2, pp. 193–202, 2011.

8. B.A Warneke and K. S. J. Pister, “An ultra-low energy microcontroller for smart dust wireless sensor networks,” in

Proc.IEEEInt. Solid-State Circuits Conf. Dig. Tech. Papers. Feb. 2004pp. 316–317.

9. M. Hempstead, M. Welsh, and D. Brooks, “Tinybench: The case for a standardized benchmark suite for TinyOS based

wireless sensor network devices ,” in Proc. IEEE 29th Local Comput. Netw. Conf., Nov. 2004, pp. 585–586.

57.

Authors: Gudimella Krishna Kishore, Gollakota Venkata Krishna Sharma, Bonthu Brahma Reddy

Paper Title: Implementation of Energy Efficient Models using MATLAB for Wireless Sensors Network Protocols

Abstract: Wireless era is the most developing technology in this era and used in many actual time

applications; as an instance, our everyday usable Smartphone’s lie in wireless era. These days the variety of

humans die from style of illnesses like heart attack, blood strain, allergies, cardiovascular dieses, etc. It is

thrilling to apply Wi-Fi era, that's aggregate of wireless networking and Wi-Fi communication to boom the

lifestyles of humankind through technique named Wi-Fi frame region networks (WBAN). The distinctive form

of sensor nodes is connected in and across the human frame to feel the modifications, fetch the statistics and skip

the fetched records to the server that's inside the far flung region for far off fitness monitoring purpose.

Loss while consuming the different Energies in network or via nodes is in the running situation, the actual

data transmission will take region. Another factor that we initiate the required preferences which are obligation

cycles. It is the time taken via the sensor nodes that perform irregularly in preference to continuously. When the

transmission distance may be very small in comparison to the threshold distance, obligation cycle may be very high, and for this reason, to get better prices for battery for the fact of ideal time, and consequently, battery

recovery effect is not taken into consideration. This paper focused on techniques designing a network location

having duration and width of length 10×10 along with 20 numbers of sensor nodes for special transmission

distance modifications from 10 -1500 for one of a kind bit quotes. All the simulation tactics could be done in

MATLAB surroundings, and the performance parameters like CDF, postpone spread, path loss Duty cycle and

Energy consumption with baseline. offline, and recovery set of rules may be measured along with optimization

algorithm named as Hybrid-Genetic algorithm.

Wireless era is the most developing technology in this era and used in many actual time applications; as an

instance, our everyday usable Smartphone’s lie in wireless era. These days the variety of humans die from style

of illnesses like heart attack, blood strain, allergies, cardiovascular dieses, etc. It is thrilling to apply Wi-Fi era,

that's aggregate of wireless networking and Wi-Fi communication to boom the lifestyles of humankind through

technique named Wi-Fi frame region networks (WBAN). The distinctive form of sensor nodes is connected in

and across the human frame to feel the modifications, fetch the statistics and skip the fetched records to the server that's inside the far flung region for far off fitness monitoring purpose.

Loss while consuming the different Energies in network or via nodes is in the running situation, the actual data

transmission will take region. Another factor that we initiate the required preferences which are obligation

cycles. It is the time taken via the sensor nodes that perform irregularly in preference to continuously. When the

transmission distance may be very small in comparison to the threshold distance, obligation cycle may be very

high, and for this reason, to get better prices for battery for the fact of ideal time, and consequently, battery

recovery effect is not taken into consideration. This paper focused on techniques designing a network location

having duration and width of length 10×10 along with 20 numbers of sensor nodes for special transmission

distance modifications from 10 -1500 for one of a kind bit quotes. All the simulation tactics could be done in

MATLAB surroundings, and the performance parameters like CDF, postpone spread, path loss Duty cycle and

Energy consumption with baseline. offline, and recovery set of rules may be measured along with optimization

algorithm named as Hybrid-Genetic algorithm.

Keyword: CDF,MATLAB,WBAN. Wi-Fi. References:

1. Jennifer, Biswanath Mukherjee, and DipakGhosal,, “Wireless sensor network survey”, Computer networks,

Vol.52, No. 12, pp. 2292-2330,2008.

2. Perrig, Adrian, John Stankovic, and David Wagner, “Security in wireless sensor networks”, Communications of the

ACM 47, no. 6 (2004): 53-57, 2004.

3. Bulusu, Nirupama, and Sanjay Jha, “Wireless Sensor Network Systems: A Systems Perspective (Artech House Mems and

Sensors Library)”, Artech House, Norwood, MA , 2005.

4. Otto, Chris, et al. "System architecture of a wireless body area sensor network for ubiquitous health monitoring." Journal of

mobile multimedia 1.4 (2006): 307-326.

5. Latré, Benoît, et al. "A survey on wireless body area networks." Wireless Networks 17.1 (2011): 1-18.

6. Akkaya, Kemal, Mohamed Younis, and MeenakshiBangad. "Sink repositioning for enhanced performance in wireless sensor

networks." Computer Networks 49.4 (2005): 512-534.

7. Jourdan, Damien B., and Olivier L. de Weck. "Layout optimization for a wireless sensor network using a multi-objective genetic

algorithm." Vehicular technology conference, 2004. VTC 2004-Spring. 2004 IEEE 59th. Vol. 5. IEEE, 2004.

8. Azadeh, Ali, et al. "Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption."

Applied Mathematics and Computation 186.2 (2007): 1731-1741.

9. Reusens, Elisabeth, et al. "Characterization of on-body communication channel and energy efficient topology design for wireless

body area networks." IEEE Transactions on Information Technology in Biomedicine 13.6 (2009): 933-945.

10. Jovanov, Emil, et al. "A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation."

Journal of NeuroEngineering and rehabilitation 2.1 (2005): 6.

282-286

11. Marinkovic, StevanJovica, et al. "Energy-efficient low duty cycle MAC protocol for wireless body area networks." IEEE

Transactions on Information Technology in Biomedicine 13.6 (2009): 915-925.

12. Ye, Wei, John Heidemann, and Deborah Estrin. "An energy-efficient MAC protocol for wireless sensor networks." INFOCOM

2002. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE. Vol. 3.

IEEE, 2002.

13. Jiang, Xiaofan, Joseph Polastre, and David Culler. "Perpetual environmentally powered sensor networks." Proceedings of the 4th

international symposium on Information processing in sensor networks. IEEE Press, 2005.

14. Chen, Yunxia, and Qing Zhao. "On the lifetime of wireless sensor networks." IEEE Communications letters 9.11 (2005): 976 -

978.

15. Montestruque, Luis Antonio, and PanosAntsaklis. "Stability of model-based networked control systems with time-varying

transmission times." IEEE Transactions on Automatic Control 49.9 (2004): 1562-1572.

16. Chenfu Yi et. Al, “Energy Efficient Transmission Approach for WBAN Based on Threshold Distance”, IEEE sensors journal,

Vol. 15, No. 9, pp 5133-5141, Sep 2015

17. S.Ahmed et al.,”LAEEBA: Link Aware and Energy Efficient Scheme for Body Area Networks”, IEEE, pp.435-440, May 2014.

18. LamiaChaariFourati , “Wireless Body Area Network and Healthcare Monitoring System”, Healthcare Informatics (ICHI) ,

Page(s):362, Sept. 2014

19. Ramli, S.N, “Surveying the Wireless Body Area Network in the realm of wireless communication”, IEEE, pp.58 – 61, 2011

20. C. Li et al, “Performance Evaluation of IEEE 802.15.4 for Wireless Body Area Network (WBAN)”, IEEE, pp.1 – 5, 2009.

21. Emmanuel Davies, “A Survey on Wireless Body Area Network”, International Journal of Scientific and Research Publications,

Vol 4, Issue 3,Pp 1-7, 2014

22. SapnaSingla et al, “A Review Paper on Wireless Body Area Network for Health Care Applications”, IJCSMC, Vol. 5, Issue. 10,

pp.1 – 11, October 2016,

23. Pervez Khan et al, “Performance Analysis of WBAN MAC Protocol under Different Access Periods”, International Journal of

Distributed Sensor Networks, Vol. 11, no. 10,2015 .

24. Xin Qi et al, “MAC Protocol in Wireless Body Area Network for Mobile Health: A Survey and an Architecture Design”,

International Journal of Distributed Sensor Networks, Vol. 11, No. 10, 2015.

58.

Authors: M. Manoj, A.Ch.Sudhir

Paper Title: Mobility Aware Co-operative MAC Protocol for Reliable Transmission in VANET

Abstract: The Medium Access Control (MAC) etiquette is liable for partaking the communal medium

amongst the competing nodules. The unique characteristics of VANET enforce many restrictions onto the MAC

protocol design. The main aims of a VANET MAC protocol are fairness, Quality of Service (QoS), reliability

and so on. In case of V2V communication in VANET, if the target vehicle is not reachable, then packets may

not be transmitted correctly. In this paper, a Mobility Aware Cooperative MAC protocol (MAC-MAC) for

successful transmission in VANET is proposed. In this protocol, when data is transmitted from V2V, the packet

error rate (PER) and packet delivery ratio (PDR) metrics are checked at the receiver end. Depending on these

values, the transmission mode of the source is changed as DIRECT or COOPERATIVE. In cooperative mode, the source selects the potential relay nodes based on the residence time and distance to the receiver. By

experimental results, it is shown that the proposed MAC-MAC protocol has reduced packet drops, delay and

overhead with increased packet delivery ratio.

Keyword: VANET MAC, DIRECT. References:

1. Nishu Gupta, ArunPrakash, and Rajeev Tripathi, "Adaptive Beaconing in Mobility Aware Clustering Based MAC Protocol for

Safety Message Dissemination in VANET",Wireless Communications and Mobile Computing,Volume 2017, Article ID

1246172, 15 pages,2017.

2. Duc Ngoc Minh Dang,ChoongSeonHong,Sungwon Lee and Eui-Nam Huh, "An Efficient and Reliable MAC in VANETs",IEEE

COMMUNICATIONS LETTERS, VOL. 18, NO. 4, APRIL 2014.

3. Md. AbubakarSiddik, ShafikaShowkatMoni , Mohammad Shah Alam and William A. Johnson, "SAFE-MAC: Speed Aware

Fairness Enabled MAC Protocol for Vehicular Ad-hoc Networks",Sensors2019, 19, 2405; doi:10.3390/s19102405,2019.

4. Andreas Pressas, Zhengguo Sheng, Falah Ali, DaxinTian and MaziarNekovee, "Contention-based Learning MAC Protocol for

Broadcast Vehicle-to-Vehicle Communication",IEEE,2018.

5. Yao Liu, Hongjing Zhou and Jiawei Huang, "OCA-MAC: A Cooperative TDMA-Based MAC Protocol for Vehicular Ad Hoc

Networks",Sensors 2019, 19, 2691; doi:10.3390/s19122691,2019.

6. Md. KowsarHossain, SuprakashDatta, Sk. Imran Hossainand Jeff Edmonds, "ResVMAC: A Novel Medium Access Control

Protocol for Vehicular Ad hoc Networks", Elsevier,Procedia Computer Science 109C (2017),pp:432-439,2017.

7. Yi Cao, HaixiaZhang,Dalei Wu and Dongfeng Yuan, "OGCMAC: A Novel OFDM Based Group Contention MAC for VANET

Control Channel",IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 16, NO. 9, SEPTEMBER 2017.

8. Ghassan Samara, "An Efficient Collision Free Protocol for VANET",International Journal of Computer Applications (0975 –

8887),Volume 180 – No.16, February 2018.

287-291

59.

Authors: Padmasree challa, M. Satya Anuradha, V.Shireesha, P.Chaya Devi

Paper Title: Equalization for Underwater Acoustic Coded OFDM Communication System Over Multipath

Fading Via Simulation Platform

Abstract: In underwater shallow acoustic communication (UWSAC) channel, due to the reflections from

bottom and surface, multiple paths propagated resulting Inter Symbol Interference (ISI). In this paper we

present the bit error performance of convolution coded orthogonal frequency division multiplexing (CCOFDM)

UWSAC system with the implementation of adaptive equalization to minimize the ISI over AWGN and

Rayleigh fading based on Recursive least square (RLS) and Filtered Error Least Mean Squares (FELMS)

Algorithms. From the simulation results it is observed that FELMS shown to improve BER as compared to an

RLS with CCOFDM system..

Keyword: UWSAC,CCOFDM,Channel Equalization, FELMS, RLS.

292-294

References: 1. Headrick, R.;Freitag , L.Growth of underwater communication technology in the U.S.Navy. IEEE Commun.Mag.2009,47,80-82.

Doi:10.1109/mcom.2009.4752681.

2. Stojanovic, M., “Retrofocusing techniques for high rate acoustic communications”, JASA, vol. 117, pp. 1173, 2005.

3. Gomes, J. and Barroso, V., “Time-reversed OFDM communication in underwater channels” IEEE 5th SPAWC Workshop 2004,

pp. 626– 630.

4. Huang, Jing Sun, et al., “High-speed underwater acoustic communication based on OFDM”, IEEE Intnl Symposium on MW

Antenna, Propgn and EMC Tech. for Wireless Comms., 2005, vol. 2, pp. 1135– 38.

5. digital communications fundamentaland applications BERNARDsklar. Second edition.

6. Padmasreechalla, satyaanuradhamosa performance evaluation and implementation of coded ofdm in wireless underwater acoustic

communication.wiley online library.com 2018 DOI:10.1002/dac.3737

60.

Authors: Maganti Manasa, Dasari Veera Reddy, AmanapuYaswanth, G.V.S Raj Kumar

Paper Title: Encryption Techniques for Different Messenger Applications

Abstract: With the advancements in number of technologies, communication has taken a bigger leap. A

number of messenger applications have been developed to exchange data and information through the Internet.

This data is very private and can be vulnerable to security attacks. Hence, it must be protected with certain

encryption technique to keep the information confidential and away from unauthorized access. In this paper, a brief study is done on different encryption techniques in messenger applications and the conclusions are

presented.

Keyword: Cryptography, Encryption, hashing algorithms, messenger applications, symmetric and asymmetric

key cryptography References:

1. Matthew Wangsadiredja, “Text and File Encryption Application for BlackBerry Using Cipher Feedback 8-bit Mode” in

International Conference on Electrical Engineering and Informatics, 2011, pp 17-19

2. Komal D Patel, “Image Encryption Using Different Techniques” in International Journal of Emerging Technology and Advanced

Engineering, 2011

3. Jusop Choi, “Forensic analysis of the backup database file in KakaoTalk messenger” in IEEE, 2017, pp 156-161

4. Md. Didarul Alam Chawdhury, “Security Enhancement of MD5 Hashed Passwords by Using the Unused Bits of TCP Header” in

International Conference on Computer and Information Technology, 2008, pp 714-717

295-297

61.

Authors: I VeeraraghavaRao, K S Chakradhar, I Durga Prasad, P Raju, V. MalleswaraRao

Paper Title: A Novel Transmit Antenna Selection Algorithms to Improve Energy and Spectral Efficiency

Abstract: In massive MIMO systems, the selection of optimal transmits antennas remains as a major

constraint. As the number of antennas is increased, the power or energy consumption also increases. Selection of

optimal transmit antennas is considered as a multi objective problem, where the energy has to be minimizedand

the spectral efficiency (bandwidth) has to be increased. In fact, for attaining higher bandwidth, more transmit antennas have to be selected, which leads to increase in power consumption, In this proposal various papers are

reviewed for Energy and Spectral Efficiency performance in Massive MIMO Technology through different

algorithms and parameter comparisons are made to identify the better algorithms in terms of EE and SE to

achieve the higher data transmission rates, BER, mitigating the inter Noise interference.

Keyword: Massive MIMO, Antenna Selection, Energy Efficiency, Spectrum Efficiency References:

1. Huimin Zhao, Zujun Liu, Yongjun Sun, “Energy efficiency optimization for SWIPT in K-user MIMO interference channels”

,Physical Communication, vol. 27, pp. 197-202, April 2018.

2. Jiang Jing, Cheng Xiaoxue, Xie Yongbin, “Energy-efficiency based downlink multi-user hybrid beamforming for millimeter

wave massive MIMO system”, The Journal of China Universities of Posts and Telecommunications, vol. 23, no. 4, pp. 53 -62,

August 2016.

3. Long Zhao, Ke Li, Kan Zheng, “ An Analysis of the Trade Off

4. Between The Energy & Spectrum Effeciences in An Uplink Massive MIMO-OFDM System”, IEEE TRANSACTIONS ON

CIRCUITS AND SYSTEMS, VOL. 62, NO. 3, MARCH 2015.

5. Z. Liu, W. Du and D. Sun, "Energy and Spectral Efficiency Tradeoff for Massive MIMO Systems With Transmit Antenna

Selection," IEEE Transactions on Vehicular Technology, vol. 66, no. 5, pp. 4453-4457, May 2017.

6. Y. Gao, H. Vinck and T. Kaiser, "Massive MIMO Antenna Selection: Switching Architectures, Capacity Bounds, and Optimal

Antenna Selection Algorithms," IEEE Transactions on Signal Processing, vol. 66, no. 5, pp. 1346-1360, March1, 1 2018.

7. Piya Patcharamaneepakorn, ShangbinWu, Cheng-XiangWang, “Spectral, Energy, and Economic Efficiency of 5G Multicell

Massive MIMO Systems With Generalized Spatial Modulation” IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,

VOL. 65, NO. 12, DECEMBER 2016

8. Jing Jiang, Mehrdad Dianati, Muhammad Ali Imran, Rahim Tafazolli, Shunqing Zhang, “Energy-Efficiency Analysis and

Optimizatio for Virtual-MIMO Systems”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 63, NO. 5, JUNE

2014.

9. Ngoc Phuc Le, Farzad Safaei, Le Chung Tran, “ Antenna Selection Strategies for MIMO-OFDM Wireless Systems: An Energy

Efficiency Perspective”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 65, NO. 4, APRIL 2016

10. Maryam Olyaee, Mohsen Eslami, Javad Haghighat, “ EE joint antenna and user selection algorithm for multi-user massive

MIMO downlink”, IET Commun., 2018, Vol. 12 Iss. 3, pp. 255-260.

298-301

62.

Authors: Saraswathi Pedada, Muralidhara Rao Patruni, Reddyprasad A, RK Chandana Mani

Paper Title: A Systematic Dynamic Key Agreement Mechanism for LTE Advanced Networks in the Internet of

Things

Abstract: Of late, Session Initiation Protocol (SIP) has become one of the popular signaling protocols

especially for the multimedia communication system. Various protocols have been proposed by researchers to

ensure access independence, authentication, and Key Agreement security characteristic. With the extensive

growth of cellular networks, mobile traffic connected with the advancements of the wireless communication

channel. In this scenario, Machine Type Communication (MTC) plays a crucial role in line with Long Term

Evaluation-Advanced Networks as their communication happened between Machine to machine without human

intervention. In order to reach Mobile Type Transmission (MTT) security condition, the access verification

process required to pursue the verification and Key Agreement protocol. Moreover, the development of Group premised communication and individual authentication mechanisms to every Machine Type Communication

device (MTTD) would lead to signal-congestion in real-time networking scenarios. Jinguo et al. proposed a

Group-Based Verification and Key-Agreement protocol with dynamically updating policy for mutual

authentication. Especially, they chose an asynchronous secret shared key merged to work with Diffie-Hellman

protocol for establishing disjoint verification and session-key establishment across LTE Advanced Networks.

However, the DH algorithm could not provide message integrity to upgrade the security feature namely

integrity. In this paper, the algorithms Advanced Encryption Standard (AES) in addition to Elliptic Curve

Diffie-Hellman (ECDH) can be integrated called an Elliptic Curve Digital Signature Algorithm (ECDSA)”

which addresses verification and integrity.

Keyword: verification and Key Agreement, GR-AKA, Diffie-Hellman, AES, ECDH, ECDSA. References:

1. Li, J., Wen, M. and Zhang, T., 2016. Group-based authentication and key agreement with dynamic policy updating for MTC in

LTE-A networks. IEEE Internet of Things Journal, 3(3), pp.408-417.

2. Khumalo, P., Nleya, B., Gomba, A., & Mutsvangwa, A. (2018, December). Services and Applications Security in IoT Enabled

Networks. In 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC) (pp. 1-7). IEEE.

3. Lai, C., Li, H., Lu, R., Jiang, R. and Shen, X., 2013, December. LGTH: A lightweight group authentication protocol for

machine-type communication in LTE networks. In 2013 IEEE Global Communications Conference (GLOBECOM) (pp. 832-

837). IEEE.

4. Cao, J., Li, H. and Ma, M., 2015, June. GAHAP: A group-based anonymity handover authentication protocol for MTC in

LTE-A networks. In 2015 IEEE International Conference on Communications (ICC) (pp. 3020-3025). IEEE.

5. Fu, A., Song, J., Li, S., Zhang, G. and Zhang, Y., 2016. A privacy‐preserving group authentication protocol for machine‐type

communication in LTE/LTE‐A networks. Security and Communication Networks, 9(13), pp.2002-2014.

6. Modiri, M. M., Mohajeri, J., & Salmasizadeh, M. (2018, December). GSL-AKA: Group-based Secure Lightweight

Authentication and Key Agreement Protocol for M2M Communication. In 2018 9th International Symposium on

Telecommunications (IST) (pp. 275-280). IEEE.

7. Gazis, V., 2017. A Survey of Standards for Machine-to-Machine and the Internet of Things. IEEE Communications Surveys &

Tutorials, 19(1), pp.482-511.

8. Kong, Q., Ma, M., & Lu, R. (2017, September). Achieving Secure CoMP Joint Transmission Handover in LTE-A Vehicular

Networks. In 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall) (pp. 1-5). IEEE.

9. Sharma, S., & Bilandi, N. (2017). Augmenting Security for Identity-based Batch Verification Scheme using TDMA based

MAC Protocol in VANET. International Journal of Computer Applications, 162(9).

10. Koti, N., Keni, E., & Purushothama, B. R. (2015, August). Non-tree Based Group Key Management Scheme With Constant

Rekeying and Storage Cost. In Proceedings of the Third International Symposium on Women in Computing and Informatics

(pp. 564-572). ACM.

11. Wang, Z., Huo, Z., & Shi, W. (2015). A dynamic identity-based authentication scheme using chaotic maps for telecare

medicine information systems. Journal of medical systems, 39(1), 158.

12. Au, M. H., Liang, K., Liu, J. K., Lu, R., & Ning, J. (2018). Privacy-preserving personal data operation on the mobile cloud—

Chances and challenges over the advanced persistent threat. Future Generation Computer Systems, 79, 337-349.

13. CheonJH, KimY, YoonHJ.A new ID-based signature with batch verification. Trends in Mathematics Information Center for

Mathematical Sciences 2005; 8(1): 119–131.

14. Cheng X, Liu J, Wang X. Identity-based aggregate and verifiably encrypted signatures from bilinear pairing, Proceeding of

ICCSA’05, LNCS 3483, Singapore, 2005; 1046–1054.

15. Lamport L. Specifying Systems: The TLA+ Language and Tools for Hardware and Software Engineers. Addison-Wesley

Publishing Company: Boston, USA, 2002.

16. Al-Turjman, F., & Mostarda, L. (2019). A hash-based RFID authentication mechanism for context-aware management in IoT-

based multimedia systems. Sensors, 19(18), 3821.

17. Narayana P, Chen R, Zhao Y, Chen Y, Fu Z, Zhou H. Automatic vulnerability checking of IEEE 802.16 WiMAX protocols

through TLA+, Proceedings of 2nd IEEE Workshop on Secure Network Protocols, CA, USA, 2006; 44–49.

18. Ferrag, M. A., Maglaras, L., Argyriou, A., Kosmanos, D., & Janicke, H. (2018). Security for 4G and 5G cellular networks: A

survey of existing authentication and privacy-preserving schemes. Journal of Network and Computer Applications, 101, 55-82.

19. Deebak, B. D., Ever, E., & Al‐Turjman, F. (2018). Analyzing enhanced real‐time uplink scheduling algorithm in 3GPP

LTE‐advanced networks using multimedia systems. Transactions on Emerging Telecommunications Technologies, 29(10),

e3443.

20. Roychoudhury, P., Roychoudhury, B., & Saikia, D. K. (2018). Provably secure group authentication and key agreement for

machine type communication using Chebyshev’s polynomial. Computer Communications, 127, 146-157.

302-307

63.

Authors: Ravikanth Mallajoshula, I.E.S. Naidu

Paper Title: Power Quality Issues in Power Systems

Abstract: Power quality in power system is one of the most important researches in the recent age, many

researchers working in this area keeping objective to achieve quality power. This paper presents power quality

issues in power systems, especially in INDIA. It also includes the various causes of power quality problems,

their impact and precautionary measure to solve the power quality issues. Various mitigating devices used to

solve various power quality problems and some methods suggested improving the power quality. Different types

of controller and their specific applications also presented. A Hybrid APF designee is also suggested to mitigate

the harmonics in power lines. Finally, the paper is designed to give an overview of power quality phenomenon in

308-313

power system and can be utilized by the researchers those working in the area of power quality.

Keyword: Power Quality, Interruption, Harmonics, Sag, Controller etc. References:

1. Math. H.J.Bollen “ Understanding Power Qualkity Problem” A JOHNWILEY & SONS, INC.,PUBLICATIONH.

2. Padmavathi and K R Sudha, Optimal sizing and placement of Dynamic Voltage Restorer in the Distribution System using Firefly

Algorithm, International Journal of Energy Technology and Policy, Vol. 15,No.2/3, pp.148-165, 2019. 3. Report on Power Quality of Electric Supply to the consumers, Report published by Forum of Regulators, August 2018.

4. A Report on “Swachh Power –A Glimpse on Power Quality in India, Published by Power Grid Coroporation in India-2015

5. Akagi, “New trends in active filters for power conditioning”, IEEE Transactions on Industry Application, vol .32, pp 1312- 1322,

1996.

6. J.A. Demcko and S.Sullivan, Power quality problems and solutions at Arizona public service company, 7th IEEE Int. Coni

onHarmonicsandQuality ofPower (ICHPQ), LasVegas,NV, ,pp.348-353,1996

7. E.W. Gunther andH.Mehta,Asurveyof distribution systempower quality-Preliminary results, IEEE TransactionsonPowerDelivery,

vol.10,no.1, pp.322-329,1995

8. M.H.J.Bollen,T. Tayjasajant, andG.Yalcinkaya,Assessmentofthe number ofvoltage sagsexperiencedbyalarge industrial customer,

IEEE TransactionsonIndustryApplications, Vvol..33,no.6, ,pp.1465-1471,1997

9. C. Pumar, J. Amantegui, J. R.Torrealday, and C. Ugarte, A comparison betweenDCand ACdrivesas regards their behaviour inthe

presence of voltage dips:New techniques for reducing the susceptibility of ACdrives, Int. Con! on Electricity Distribution

fCIRED), , Birmingham, U.K., pp. 5-11, 1997

10. J. Lamoree, D.Mueller,P. Vinett, W. Jones, andM. Samotyj, Voltage sag analysis case studies, IEEE

TransactionsonIndustryApplications, vol.30,no.4, ,pp. 1083- 1089,1994

11. H.G. Sarmiento andE. Estrada, A voltage sag study inan industry with adjustable... speed drives, IEEE

IndustryApplicationsMagazine, vol.2,no.1, ,pp.16-19,1996

12. J.e. Smith,J. Lamoree, P.Vinett,T. Duffy, and M.Klein,The impact of voltagesagson industrial plant loads, Int. Con!

PowerQuality:End-useapplicationsandperspectives (PQA...91), pp.171-178.1995

13. E.G. Strangas, V.E. Wagner, and T.D. Unruh, Variable speeddrives evaluation test, IEEE IndustryApplicationsSociety Annual

Meeting, October 1996,SanDiego,CA,pp.2239-2243.Arevisedversion of this paper appeared in IEEE IndustryApplications

Magazine, vol.4,no.1, pp.53-57,1998

14. A. David, J.Maire,andM. Dessoude, Influence of voltagedipsandsag characteristics on electricalmachinesanddrives: evaluation

andperspective, lrd Int. Con! onPowerQuality: End-use applications and perspectives, , Amsterdam, The Netherlands, 1994

15. E.W. Gunther andH.Mehta,Asurveyof distribution systempower quality-preliminary results, IEEE TransactionsonPowerDelivery,

vol.10,no.1, ,pp.322-329,1995

16. R.C.Dugan,M.F. McGranaghan, andH.W.Beaty, ElectricPower Systems Quality, McGrawHill,NewYork,1996

17. W.E.KazibweandM.H.Sendaula,ElectricPowerQualityControlTechniques, Van Nostrad Reinhold,NewYork.

18. IEEErecommendedpracticeforpoweringandgroundingsensitiveelectronicequipment, IEEE Std. 1100-1992.

19. EuropeanstandardEN-50160, Voltagecharacteristicsofelectricitysuppliedbypublicdis- tribution systems, CENELEC,

Brussels,Belgium,1994

20. R.N.Allan,R.Billinton,andS.H.Lee,Bibliographyontheapplicationofprobability methodsinpowersystemreliabilityevaluation1977-

1982, IEEE TransactionsonPower Apparatus and Systems, vol.103,no.2, ,pp.275-282.1984

21. H.H. Kajihara, Quality powerforelectronics, Electro-Technology, vol.82,no.5, ,pp..46-49,1984

22. W.E.Kazibwe,R.J.Ringlee,G.W.Woodzell,andH.M. Sendaula, Powerquality:A review, IEEE Computer Applications inPower,

vol.3,no.1, pp.39-42,1990

23. R. Wilkins and M.H.J. Bollen,Therole of current limitingfusesinpower quality improvement, 3rdInt.Conf.onPowerQuality:End-

useapplicationsandperspectives, Amsterdam,1994

24. Lj. Kojovic andS. Hassler, Application of current limitingfusesin distribution systemsfor improved power quality and protection,

IEEE TransactionsonPowerDelivery, vol.12,no. 2, pp.791-800,1997

25. P.M. Anderson, Analysis of FaultedPower Systems, NewYork: IEEE Press,1995

26. J. Holtz, W. Lotzhat, and S. Stadfeld, Controlled ACdriveswith ride-through capacity at power interruption, IEEE

TransactionsonIndustryApplications, vol, 30,no.5, September ,pp.1275-1283,1994

27. D.S. Dorr, A. Mansoor, A.G. Morinec, and J. C. Worley, Effects of power line voltage variations on different types of400-Whigh

pressure sodium ballasts, IEEE Transactionson IndustryApplications, vol.33,no.2, ,pp. 472-476,1997

28. N. Mohan, T.M. Undeland, andW.P Robbins, Power Electronics-Converters, Applications and Design, John WileyandSons,New

York, 1995.

29. Pratap Sekhar Puhan, Ravikanth Mallajoshula “Synchro-Embedded Intelligent Based Controller Applied To Hyrid Active Power

Filter”.ICICCS2018

64.

Authors: Maganti Manasa, Vikas B, K. Subhadra

Paper Title: Drowsiness detection using Eye-Blink frequency and Yawn count for Driver Alert

Abstract: Several reasons can be sighted for the cause of these road accidents. Few of them include lack of

sleep, drunk driving, violation of traffic rules, etc. Amongst them, the state of drowsiness and drunk driving

alone contributes to 36% of accidents. Though a number of national schemes and traffic rules have been

implemented to avoid these road accidents, it could only bring down the accident rate by 10%. As car accidents

are one of the major issues of concern, this paper will be discussing mainly on Drunk driving or drowsiness. In

these recent years, various methods have been proposed to implement drowsiness detection based on Hough

transforms. Here, in this paper, we have determined a technique to detect drowsiness among car drivers and alert them whenever they tend to sleep. The algorithm is based on eye-blink and yawn frequency. It deals with an eye

blink yawn frequency algorithm that uses eye coordinates to keep track of person and determine the open or

closed state of the eye and generate an alarm if the driver is drowsy. The yawn count is determined by checking

the frequency of yawn count with a minimum threshold value.

Keyword: Drowsiness Detection, Eye-blink frequency, Eye-Aspect-ratio, Euclidean distance, PERCLOS References:

1. W. Tipprasert, T. Charoenpong, C. Chianrabutra and C. Sukjamsri, "A Method of Driver’s Eyes Closure and Yawning Detection

for Drowsiness Analysis by Infrared Camera," 2019 First International Symposium on Instrumentation, Control, Artificial

Intelligence, and Robotics (ICA-SYMP), Bangkok, Thailand, 2019, pp. 61-64

314-317

2. S. D. Lin, J. Lin and C. Chung, "Sleepy Eye's Recognition for Drowsiness Detection," 2013 International Symposium on

Biometrics and Security Technologies, Chengdu, 2013, pp. 176-179.

3. Tianyi Hong and Huabiao Qin, "Drivers drowsiness detection in embedded system," 2007 IEEE International Conference on

Vehicular Electronics and Safety, Beijing, 2007, pp. 1-5

4. P. R. Tabrizi and R. A. Zoroofi, "Drowsiness Detection Based on Brightness and Numeral Features of Eye Image," 2009 Fifth

International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Kyoto, 2009, pp. 1310-1313

5. D. Kim, H. Han, S. Cho and U. Chong, "Detection of drowsiness with eyes open using EEG-based power spectrum

analysis," 2012 7th International Forum on Strategic Technology (IFOST), Tomsk, 2012, pp. 1-4

6. I. Culjak, D. Abram, T. Pribanic, H. Dzapo and M. Cifrek, "A brief introduction to OpenCV," 2012 Proceedings of the 35th

International Convention MIPRO, Opatija, 2012, pp. 1725-1730

7. Vikas B, B. S. Anuhya, Manaswini Chilla and Sipra Sarangi, “A Critical Study of Polycystic Ovarian Syndrome (PCOS)

Classification Techniques” IJCEM International Journal of Computational Engineering & Management, 2018, 2230-7893

8. B. N. Manu, "Facial features monitoring for real time drowsiness detection," 2016 12th International Conference on Innovations

in Information Technology (IIT), Al-Ain, 2016, pp. 1-4

9. Y. Katyal, S. Alur and S. Dwivedi, "Safe driving by detecting lane discipline and driver drowsiness," 2014 IEEE International

Conference on Advanced Communications, Control and Computing Technologies, Ramanathapuram, 2014, pp. 1008-1012

10. D. Kurian, J. J. P.L., K. Radhakrishnan and A. A. Balakrishnan, "Drowsiness Detection Using Photoplethysmography

Signal," 2014 Fourth International Conference on Advances in Computing and Communications, Cochin, 2014, pp. 73-76

11. M. S. Devi, M. V. Choudhari and P. Bajaj, "Driver Drowsiness Detection Using Skin Color Algorithm and Circular Hough

Transform," 2011 Fourth International Conference on Emerging Trends in Engineering & Technology , Port Louis, 2011, pp.

129-134

12. K. Santosh Bhargav, T.Divya Kumari, Dola Sai Siva Bhaskar Thota, Vikas B., “Application of Machine Learning Classification

Algorithms on Hepatitis Dataset”International Journal of Applied Engineering Research ISSN 0973-4562, pp. 12732-12737

65.

Authors: 1J. Prasanth Kumar, D. Nataraj, G. Nikitha Raj, G. Karunakar

Paper Title: Design of Dual Notch UWBMIMO Antenna with Defected Ground Structure.

Abstract: In this paper A dual band notched MIMO antennais designed with defected ground structure as

ground plane and its characteristics are analyzed. The antenna covers UWB frequency ranging from 3.1-10.6

GHz with single notch band characteristics with maximum gain of 3.7 dB. The antenna provides radiation

efficiency of 94% with front to back to ratio of 64%. The simulated studied is carried for many frequency band

applications. The designed antenna shows patterns similar to that of a the dipole. The substrate used to design

this antenna is FR4 withdimensions of 26mm x40mmx1.6mm and dielectric constant of 4.4.The notch bands are

at WLAN and WiMax frequencies.

Keyword: MIMO Antenna, ultra wideband range,defected ground structure, notch band, parametric analysis. References:

1. Dang, J., Li, J., Zhao, L., & L. Guo,. (2017). A dual-band inverted-F MIMO antnna with enhanced isolationWLAN

applications. IEEE Antennas and Wireless Propagation Letters, 16, 2270-2273.

2. S Fernandez, &S.K. Sharma, (2014). Multiband printed mendered loop antennas with MIMO implementations for wireless

routers. IEEE Antens and Wireless Propagation Letters, 96-99.

3. Hussain, R., Khan, M. U., &Sharawi, M. S. (2018). An Integrated Dual MIMO Antenna System With Dual-Function GND-Plane

Frequency-Agile Antenna. IEEE Antennas and Wireless Propagation Letters, 17(1), 142-145.

4. L Kang., H, Li, Wang, X., & X.Shi, (2015). Compact microstrip-fedoffset MIMO antenna for notched band UWB

applications. IEEE Antens and Wireless Propagation Letters.

5. Lee, H., & Lee, B. (2016). Compact broadband dual-polarized antenna for indor MIMO wireless commnication systems. IEEE

Transactions on Antennas and Propagation, 64, 766-770.

6. Yang, Y., Chu, & Mao, C. (2016). Multiband MIMO antenna for GSM, DGS, and LTE indoor applications. IEEE Antennas and

Wireless Propagation Letters, 15, 1573-1576.

7. Zhang, S., & Pedersen, G. F. (2016). Mutual coupling reduction for UWB MIMO antennas with a wideband neutralization

line. IEEE antennas and wireless propagation letters, 15, 166-169.

8. D.Nataraj, Dr.G.Karunakar “Four Element Miniaturized Microstrip Antenna Array using Defected Ground Structure for

Satellite Applications” Journal of Web Engineering, Vol. 18, No 4 (2019) 5014 – 5019

9. Kumar JP, Karunakar G. “Compact C-shaped MIMO diversity antenna for quad band applications with hexagonal stub

for isolation improvement”. Int. J RF Microw Comput AidedEng.2019;e21971. ttps://doi.org/10.1002/mmce.21971

318-322

66.

Authors: Srinu Budumuru, M. Satya Anuradha, B Siva chakra Avinash, C Dharma Raj

Paper Title: Analysis of Shielding Effectiveness on Al6061 Composite Material Reinforced With Fly Ash for

Oblique Incidence

Abstract: Over last two decades a high extent of concentration is on reducing the weight of the commercial

aircraft with enough mechanical properties like strength, stress etc. Composite materials are preferable for

construction aircrafts with less weight and good mechanical properties. But these composite materials have very

less conductivity, suppose if the lightning strikes the aircraft flow of current through exit terminals of it was not

possible, so there is a possibility for physical damage of the aircraft. To overcome the lightning effect on aircraft

lightning strike protection (LSP) should be involved, for that in the present work AL6061 composite was considered for the construction of aircraft. To improve the shielding and mechanical properties of the material,

fly ash particles are reinforced at different percentages. Electromagnetic shielding and mechanical properties are

measured for the above material at X band. MATLAB Simulation results are compared with the conventional

AL6061 composites for arbitrary case.

Keyword: AL6061, Aircraft lightning strike protection,X-band frequency, mechanical properties of material.

References: 1. Larsson A. 2002 The interaction between a lightning flash and an aircraft in flight. ComptesRendus Physique.;3:1423-1444.

2. Yinsuo Dai, Jianhua Wu, DerongWang, Effect of Mineralogical Phase and Chemical Composition of Fly Ashon Electromagnetic

323-325

Wave-Absorbing Properties, Materials Transactions, Vol. 59, No. 6 (2018) pp. 876 to 882.

3. U. C. Hasar .“Permittivity Measurement Of Thin Dielec- Tric Materials From Eflection-Only Mea- Surements Using One-Port

Vector Network Analyzers”, PIER 95, 365{380, 2009}.

4. Richard.B.Schulz, V. C. Plantz, D. R. Brush, ShieldingTheory and Practice, IEEE Transactions on ElectromagneticCompatibility,

Vol. 30, No. 3, Aug. 1988, pp 187-201.

5. C D Raj, G S Rao, P V Y Jayasree, B Srinu, P Lakshman, Analysis of Reflectivity and Shielding Effectiveness of Absorbing

Material–Conductor Laminate forElectromagnetic Compatibility, JEMAA, 2010.

6. C D Raj, G S Rao, P V Y Jayasree, B Srinu, P Lakshman, Estimation of reflectivity and shielding effectiveness of three layered laminate electromagnetic shield at x-band, PIER B, Vol. 20, 205{223, 2010}.

67.

Authors: M. Roshini, G. Vasanth, G.V. Kodandaramaiah, S.A.K. Jilani

Paper Title: IRIS Recognition: A new Dataset Without Different Noise levels and Occlusions

Abstract: Biometrics is the study about an old technology available for many years providing identification

and authorization to humans based on their physiological or behavioral characteristics. Whatever may be the era

either past or present a person has to prove his identity in all sectors for getting authentication or authorization.

This paper focuses on the importance of Biometrics particularly in the recent bloom technology which is IRIS

recognition. A clear description of the pros and cons of this technology are mentioned. The IRIS recognition is

where a person is identified based on Iris, a unique pattern located between pupil and sclera. The success

depends majorly on one of its important steps known as Segmentation. The methodology which is followed for

verification and authentication is presented. The existing databases are mentioned that are used for Iris

recognition. A new database is introduced with a BMP format gray-scale image for identifying a person. A new Database without different noise levels and occlusions are introduced for the authorization of a person.

Keyword: Iris, Pupil, Sclera, Segmentation, Databases. References:

1. Khan, M. Zamin Ali, et al. "Design and Implementation of an IRIS Recognition Attendance Management System." International

Journal of Computer Science Issues (IJCSI) 15.4 (2018): 64-67.

2. Reddy, MV Bramhananda, and V. Goutham. "Iris Technology: A Review on Iris Based Biometric Systems for Unique Human

Identification." International Journal of Research Granthaalayah, Volume 6 (2018): 80-90.

3. Choudhari, Ekta M., et al. "Advance & Integrated technique for Eye gaze and Sclera detection." 2018 2nd International

Conference on I-SMAC (IoT in Social, Mobile, Analytics, and Cloud)(I-SMAC) I-SMAC (IoT in Social, Mobile, Analytics, and

Cloud)(I-SMAC), 2018 2nd International Conference on. IEEE, 2018.

4. Okokpujie, Kennedy, et al. "An improved iris segmentation technique using circular Hough transform." IT Convergence and

Security 2017. Springer, Singapore, 2018. 203-211.

5. Ponce-Hernandez, Wendy, et al. "Template protection approaches Fuzzy Vault scheme." 2019 International Carnahan Conference

on Security Technology (ICCST). IEEE, 2019.

6. Gunasekaran, K., J. Raja, and R. Pitchai. "Deep multimodal biometric recognition using contourlet derivative weighted rank

fusion with a human face, fingerprint and iris images." Automatika (2019): 1-13.

7. Jan, Farmanullah, Imran Usman, and Shahrukh Agha. "Iris localization in frontal eye images for less constrained iris recognit ion

systems." Digital Signal Processing 22.6 (2012): 971-986.

8. Ghali, Abdulrahman Aminu, et al. "A Review of Iris Recognition Algorithms." JOIV: International Journal on Informatics

Visualization 1.4-2 (2017): 175-178.

9. Chhabra, Megha, and Ayush Goyal. "Accurate and robust iris recognition using modified classical hough transform." Information

and Communication Technology for Sustainable Development. Springer, Singapore, 2018. 493-507.

10. Tossy Thomas, Anu George, Dr.K P Indira Devi, “Effective Iris Recognition System”, Global Colloquium in Recent

Advancement and Effectual Researches in Engineering, Science and Technology (RAEREST 2016).

11. Gad, Ramadan, et al. "Iris recognition using multi-algorithmic approaches for cognitive internet of things (CIoT)

framework." Future Generation Computer Systems 89 (2018): 178-191.

12. N. Othman, B. Dorizzi, and S. Garcia-Salicetti, OSIRIS: An open- source iris recognition software, Pattern Recognition. Letters,

vol. 82, pp. 124– 131, 2016.

13. Zhao, Zijing, and Ajay Kumar. "Accurate periocular recognition under a less constrained environment using a semantics-assisted

convolutional neural network." IEEE Transactions on Information Forensics and Security 12.5 (2016): 1017-1030.

14. Kallel, Imène Khanfir, Sonda Ammar Bouhamed, and Belhassen Akrout. "Clever use of Meyer wavelet for iris recognition." 2017

International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, 2017.

15. T. Mansfield, G. Kelly, D. Chandler, and J. Kane. Biometric product testing final report. Computing, National Physical

Laboratory, (2001).

16. Nguyen, Kien, et al. "Long-range iris recognition: A survey." Pattern Recognition 72 (2017): 123-143.

17. Raja, Kiran B., R. Raghavendra, and Christoph Busch. "Towards Reducing the Error Rates in Template Protection for Iris

Recognition Using Custom Cuckoo Filters." 2019 IEEE 5th International Conference on Identity, Security, and Behavior

Analysis (ISBA). IEEE, 2019.

18. Nguyen, Kien, et al. "Super-resolution for biometrics: A comprehensive survey." Pattern Recognition 78 (2018): 23-42.

326-336

68.

Authors: Rakesh Kumar Saini, Krista Chaudhary, Umang Kant, Nishant Gupta, Mayank Singh

Paper Title: Discussion on Quality Monitoring of Water by Wireless Sensor Networks

Abstract: Water quality is one of the main aspect to control health and the state of diseases in people.

Disorder akin to unstable water conditions have over 300 collection cases announced annually. Water

quality is a measure of the plight of water aunt to any human need. Basin and estuary are the cable authority of

drinking water, angling, flooding, and efficiency production, which appreciably depend on water aspect.

Therefore, water aspect of basin and estuary should be kept at a certain level. This paper surveys the utilization

of WSN in environmental monitoring and area monitoring, with particular attention on water quality. Various

WSN based water quality monitoring methods advised by other composer are considered and evaluate, taking

into account their coverage, energy and security involvement. In this paper we surveys the issues of quality

monitoring of water and surveys the various sensors used for monitoring quality of water.

337-341

Keyword: Water quality monitoring, Remote, Quality monitoring sensors, Wireless Sensor Network. References:

1. P. Jiang, H. Xia, Z. He, and Z. Wang, “Design of a water environment monitoring system based on wireless sensor networks,”

Sensors, vol. 9, no. 8, pp. 6411–6434, 2009.

2. E. V. Hatzikos, N. Bassiliades, L. Asmanis, and I. Vlahavas, “Monitoring water quality through a telematic sensor network and

a fuzzy expert system,” Expert Systems, vol. 24, no. 3, pp. 143–161, 2007.

3. J. Wang, X. Wang, X. Ren, and Y. Shen, “A water pollution detective system based on wireless sensor network,” Journal of

Guilin University of Electronic Technology, vol. 29, no. 3, pp. 247–250, 2009.

4. B. O'Flynn, R. Martinez-Catala, S. Harte et al., “SmartCoast: a wireless sensor network for water quality monitoring,” in 32nd

IEEE Conference on

5. Local Computer Networks (LCN 2007), pp. 815-816, Dublin, Ireland, October 2007.

6. T. Le Dinh, W. Hu, P. Sikka, P. Corke, L. Overs, and S. Brosnan, “Design and deployment of a remote robust sensor network:

experiences from an outdoor water quality monitoring network,” in 32nd IEEE Conference on Local Computer Networks (LCN

2007), pp. 799–806, Dublin, Ireland, October 2007.

7. F. J. Tiausas, M. L. Guico, J. C. Monje, and C. Oppus, “Design and development of a w ireless sensor network framework for

water quality remote monitoring,” in Mobile and Wireless Technology 2015, K. Kim and N. Wattanapongsakorn, Eds., vol. 310

of Lecture Notes in Electrical Engineering, pp. 99–106, Springer, Berlin, Heidelberg, 2015.

8. Z. Rasin and M. R. Abdullah, “Water quality monitoring system using Zigbee based wireless sensor network,” International

Journal of Engineering & Technology, vol. 9, no. 10, pp. 14–18, 2009.

9. J. Wang, X. L. Ren, Y. L. Shen, and S. Y. Liu, “A remote wireless sensor networks for water quality monitoring,” in 2010

International Conference on Innovative Computing and Communication and 2010 Asia-Pacific Conference on Information

Technology and Ocean Engineering, pp. 7–12, Macao, China, 2010.

10. X. Luo, J. Yang, and L. Chai, “Water pollution source localization based on the contour in sensor networks,” in 2016 Chinese

Control and Decision Conference (CCDC), pp. 3433–3437, Yin Chuan, China, May 2016.

11. G. Tuna, B. Nefzi, O. Arkoc, and S. M. Potirakis, “A real-time remote monitoring of water quality by means of a wireless

sensor network,” Sensor Letters, vol. 12, no. 9, pp. 1414– 1421, 2014.

12. Kadri, E. Yaacoub, M. Mushtaha, and A. Abu-Dayya, “Wireless sensor network for real-time air pollution monitoring,” in 2013

1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA), pp. 1–5, Sharjah, United

Arab Emirates, February 2013.

13. Somov, A. Baranov, A. Savkin, D. Spirjakin, A. Spirjakin, and R. Passerone, “Development of wireless sensor network for

combustible gas monitoring,” Sensors and Actuators A: Physical, vol. 171, no. 2, pp. 398–405, 2011.

14. ZigBee Alliance.: Low-Power, IPv6 Networking for Home Energy Management. (2014). (Online). ZigBee Press,California.

Available at: http://www.zigbee.org/920ip-low-power-ipv6- networking-for-home-energy-management-by- ZigBee alliance/

(Accessed 20 September, 2015).

15. Abbagnale, A, Cipollone, E, Cuomo, F.: A case study for evaluating IEEE 802.15.4 wireless sensor network formation with

mobile sinks, IEEE ICC, Rome. (2009)

16. ANT.: Multi-Channel Design Considerations. (2012). (online). Dynastream Innovations Inc., Alberta.

17. Bell, B. S, Kanar, A. M, Kozlowski, S. W.: Current issues and future directions in simulation- based training in North America.

The International Journal of Human Resource Management, Vol. 19, 1416–1436. (2008).

69.

Authors: C. Karpagam, S. Gomathi

Paper Title: Examination of Location Based Services and User Preferences

Abstract: Recent developments on mobile location information have driven efforts to mine user patterns of

interest. Even start-up companies survey user interests to enrich their business. All medium and large

organizations are paying attention to collect and store location data. With the support of unlimited computing

power and memory of mobile phones we can apply proficient Deep Learning algorithms to determine an optimal

solution for user interests. In this article, we aim to complete an overall survey on evolution of Location Based

Services and the improvements in recent trends. We have categorized the evolution period in to three divisions

covering from the year 2000 to till date.

Keyword: Challenges, location based services, recent trends, user preferences. References:

1. https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/

2. Haosheng Huang, Georg Gartner, Jukka M. Krisp, Martin Raubal & Nico Van de Weghe, “ Location based services: ongoing

evolution and research agenda”, Journal of Location Based Services, 12:2, 63-93,DOI: 10.1080/17489725.2018.1508763

3. Toch, E., Lerner, B., Ben-Zion, E. et al. Knowl Inf Syst (2019) 58: 501. https://doi.org/10.1007/s10115-018-1186-x

4. Mcheick Hamid. (2014). “Modeling context aware features for pervasive computing”. Procedia Computer Science, 37, p. 135-

142.

5. Pettersson, D., and R. Nyquist. "Football Match Prediction using Deep Learning Recurrent Neural Network

Applications." Master's Thesis EX031/2017. Department of Electrical Engineering Chalmers University of Technology. Typeset

in L ATEX. Gothenburg, Sweden (2017).

6. Wang, Shenhao & Zhao, Jinhua. (2018). Using Deep Neural Network to Analyze Travel Mode Choice With Interpretable

Economic Information: An Empirical Example.

7. Marco Gruteser , Dirk Grunwald, Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking,

Proceedings of the 1st international conference on Mobile systems, applications and services, p.31-42, May 05-08, 2003, San

Francisco, California

8. Kido, Hidetoshi & Yanagisawa, Y & Satoh, Tetsuji. (2005). An Anonymous Communication Technique using Dummies for

Location-based Services. Proceedings - International Conference on Pervasive Services, ICPS '05. 88-97. 88- 97.

10.1109/PERSER.2005.1506394.

9. Barkhuus, Louise & Dey, Anind. (2003). Location-Based Services for Mobile Telephony: a Study of Users' Privacy Concerns..

2003.

10. Schmidt-Belz, Barbara & Nick, Achim & Poslad, Stefan & Zipf, Alexander. (2003). Personalized and location-based mobile

tourism services.

11. Myles, G & Friday, Adrian & Davies, N. (2003). Preserving Privacy in Environments with Location-Based Applications.

Pervasive Computing, IEEE. 2. 56- 64. 10.1109/MPRV.2003.1186726.

12. Zhong, Sheng et al. “Privacy-Preserving Location-based Services for Mobile Users in Wireless Networks.” (2004).

342-346

https://doi.org/10.1007/s10115-018-1186-x

13. Steinfield, Charles. (2003). The Development of Location Based Services in Mobile Commerce 1. 10.1007/978-3-662-11659-

3_10.

14. Kaasinen, Eija. “User needs for location-aware mobile services.” Personal and Ubiquitous Computing 7 (2003): 70-79.

15. Yang, Wan-Shiou & Cheng, Hung-Chi & Dia, Jia-Ben. (2008). A Location-Aware Recommender System for Mobile Shopping

Environments. Expert Systems with Applications. 34. 437-445. 10.1016/j.eswa.2006.09.033.

16. Xiao, Hua & Zou, Ying & Ng, Joanna & Nigul, Leho. (2010). An Approach for Context-Aware Service Discovery and

Recommendation. 163-170. 10.1109/ICWS.2010.95.

17. Yu, Zhiwen & Nakamura, Yuichi & Jang, Seiie & Kajita, Shoji & Mase, Kenji. (2007). Ontology-Based Semantic

Recommendation for Context-Aware E-Learning. 898-907. 10.1007/978-3-540-73549-6_88.

18. Park, Moon-Hee & Hong, Jin-Hyuk & Cho, Sung-Bae. (2007). Location-Based Recommendation System Using Bayesian User’s

Preference Model in Mobile Devices. Comput. Sci.. 1130-1139. 10.1007/978-3-540-73549-6_110.

19. Mcheick, Hamid. (2014). Modeling Context Aware Features for Pervasive Computing. Procedia Computer Science. 37.

10.1016/j.procs.2014.08.022.

20. O. Roider, C. Rudloff, M. Ray, “An Individual Travel Information System for Optimizing Mode and Route Choice bahaviour of

Commuters”, in Proc. Social and Behavioral Sciences 48, 2012, pp. 1948-1957

21. Aliannejadi, Mohammad & Rafailidis, Dimitris & Crestani, Fabio. (2018). A Collaborative Ranking Model with Multiple

Location-based Similarities for Venue Suggestion. 10.1145/3234944.3234945.

22. Yin, Hongzhi & Sun, Yizhou & Cui, Bin & Hu, Zhiting & Chen, Ling. (2013). LCARS: a location-content-aware recommender

system. 221-229. 10.1145/2487575.2487608.

23. Wang, Weiqing & Yin, Hongzhi & Chen, Ling & Sun, Yizhou & Sadiq, Shazia & Zhou, Xiaofang. (2015). Geo-SAGE: A

Geographical Sparse Additive Generative Model for Spatial Item Recommendation.

24. Hariharan, Ramaswamy & Hore, Bijit & Li, Chen & Mehrotra, Sharad. (2007). Processing Spatial-Keyword (SK) Queries in

Geographic Information Retrieval (GIR) Systems. Proceedings of the International Conference on Scientific and Statistical

Database Management, SSDBM. 16-16. 10.1109/SSDBM.2007.22.

25. Chen, Lisi & Cong, Gao & Jensen, Christian & Wu, Dingming. (2013). Spatial keyword query processing: An experimental

evaluation. Proceedings of the VLDB Endowment. 6. 217-228. 10.14778/2535569.2448955.

26. Manotumruksa, Jarana & Macdonald, Craig & Ounis, Iadh. (2017). A Deep Recurrent Collaborative Filtering Framework for

Venue Recommendation. 1429-1438. 10.1145/3132847.3133036.

27. Aliannejadi, Mohammad & Rafailidis, Dimitris & Crestani, Fabio. (2018). A Collaborative Ranking Model with Multiple

Location-based Similarities for Venue Suggestion. 10.1145/3234944.3234945.

28. Aliannejadi, Mohammad & Crestani, Fabio. (2018). Venue Suggestion Using Social-Centric Scores.

29. Mazhelis, Oleksiy & Žliobaitė, Indrė & Pechenizkiy, Mykola. (2011). Context-Aware Personal Route Recognition. Performance

Evaluation - PE. 221-235. 10.1007/978-3-642-24477-3_19.

70.

Authors: Beena K Vernekar

Paper Title: ESR Spectral Characterisation of Mn doped Zn (II) Trisethylenediamine Sulfidometalate Complexes

Abstract: Aqueous reaction of Zn(II) and Mn(II) salts with ammonium tetrasulfidometalate (NH4)2[MS4]

(M = Mo, W) in the presence of ammonia or ethane 1,2-diamine (en) or propane 1,2-diamine (1,2-pn) results in

the formation of [M'(L)n][MS4] (M' = Zn or Mn; L = NH3 or en or 1,2-pn). Using this strategy, Mn doped Zn

complex of formula [Zn0.99Mn0.01(en)3][MS4], which exhibits characteristic hyperfine ESR spectra have been

synthesized. The synthetic aspects, spectral and thermal characterization are described..

Keyword: Coordination chemistry, Tetrasulfidomolybdate, Zinc, Manganese, Hyperfine Spectrum References:

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71.

Authors: Swapnali D. Mahadik, Anup Girdhar

Paper Title: Packaged Drinking Water Analysis by Classification Technique of Data Mining

Abstract: In a world where sufficient and safe water is not available everywhere, either because of harmful

substances are found in the layer of earth surface which enter into a water or may be because of some other

microorganisms. However what about packaged drinking water is safest is the big question. To analyze this

proposed a model which helps to compare few brands of packaged drinking water and checked certain water

quality level through customized classification technique of data mining. Proposed customized classification model can predict safe water based on the parameters of water quality which make ease of work of the

laboratory technician by predicting which packaged water will be safest to drink.

Keyword: Packaged Drinking Water, Microorganism, Customized Classification, Data Mining. References:

1. Hussain, Ikbal Husain, Mohammed Arif “Studies On Heavy Metal Contamination In Godavari River Basin” Volume 7, Issue 8,

Pp 4539–4548 December 2017.

2. Consumer Voice Report “Packaged Drinking Water” 2017.

3. Consolata Gakii And Jeniffer Jepkoech, “Classification Model For Water Quality Analysis Using Decision Tree”, European

Journal Of Computer Science And Information Technology, Print ISSN: 2054-0957 (Print), Online ISSN: 2054-0965

(Online)Vol.7, No.3, Pp.1-8, June2019.

4. Swapan Shakhari, Indrajit Banerjee, “A Multi-Class Classification System Data mining is the process of discovering patterns

from hidden datasets. for Continuous Water Quality Monitoring” Volume 5, Issue 5, May 2019, E01822.

5. Shah Christirani Azhar , Ahmad Zaharin aris , Mohd Kamil yusoff, Mohammad Firuz Ramli , Hafizanjuahir, “Classification Of

River Water Quality Using Multivariate Analysis ” Procedia Environmental Sciences Elsevier , Volume 30, 2015, Pages 79-84.

6. Salisu Yusuf Muhammad, Mokhairi Makhtar, Azilawati Rozaimee, Azwa Abdul Aziz and Azrul Amri Jamal, “Classification

Model for Water Quality using Machine Learning Techniques” , International Journal of Software Engineering and Its

Applications Vol. 9, No. 6(2015), pp. 45-52.

7. P. Tamilarasi, D. Akila, “Ground Water Data Analysis Using Data Mining: A Literature Review”, International Journal of Recent

Technology and Engineering (IJRTE)ISSN: 2277-3878,Volume-7, Issue-5C, February 2019.

8. Swapnali Mahadik, Dr.Anup Girdhar, “Water Quality Parameters Estimation Through Data Driven Model”, Cyber Times

International Journal of Technology & Management,Vol. Issue 1,October 2017-March 2018 2278-7518.

9. Swapnali Mahadik. Dr.Anup Girdhar, “Analysis of Principal Water Quality Parameters by Data Driven Technique”, Research

Dimension, 2249-3867, Feb 2018.

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addendumISBN 978-92-4-154995-0, 2017.

352-355

72.

Authors: Sabyasachi Dasgupta*.txt

Paper Title: Responsibility on Brand Equity in the telecom sector in India

Abstract: Telecom is one of the highly competitive sectors in contemporary India. Over the past few years a

lot of Telecom companies have entered the market. With new companies coming in the market and the amount

of competition that it leads it becomes necessary for the company to stay in the forefront of things. Some brands

have exited as they were unable to stay in the market due to the pressure of its competitors. The concept of

corporate social responsibility though old, has been used very incorrectly over the years. A lot of companies

used to do philanthropic work, not because of their ethics or values but to vain the support and loyalty of

customers. But overtime this has changed and Corporate Social Responsibility (CSR) has been made mandatory

under the law. Here this research tries to study how a company increases its brand equity and stands out amongst

its competitors through CSR. The paper tries to understand the vital components of achieving brand equity

through various aspects of CSR. This study will be useful for corporate organizations to understand how CSR is

just not a waste in the form of a mandate but essentially is a strategic tool to enhance the equity of the brand and

create a consumer connect with the brand.

Keyword: Brand, Corporate Social Responsibility, equity, telecom References:

1. 2006. (1999). The Moderating Effect of Marketing Capabilities on the Relationship between Changes in CSR perceptions and

Changes in Brand Equity.

2. Hsu, Ker-Tah. "The Advertising Effects of Corporate Social Responsibility on Corporate Reputation and Brand Equity: Evidence

from the Life Insurance Industry in Taiwan." Journal of Business Ethics 109.2 (2011): 189-201. Web.

3. Carroll, Archie B. "Carroll’s Pyramid of CSR: Taking another Look." International Journal of Corporate Social Responsibility 1.1

(2016): n. pag. Web.

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8. Environmental CSR-initiatives influence on Brand Equity: A Case of Eco –Labeling

9. Corporate Social Responsibility, Perceived Customer Value, and Customer-Based Brand Equity: A Cross-National Comparison

10. Davcik, Nebojsa S., Rui Vinhas Da Silva, and Joseph F. Hair. "Towards a Unified Theory of Brand Equity: Conceptualizations,

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356-363

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presentation

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73.

Authors: K.Sudha Rani, T.Gowri, T.Madhulatha

Paper Title: Dimensionality Reduction Techniques For Hyperspectral Image using Deep Learning

Abstract: This Research proposal addresses the issues of dimension reduction algorithms in Deep

Learning(DL) for Hyperspectral Imaging (HSI) classification, to reduce the size of training dataset and for

feature extraction ICA(Independent Component Analysis) are adopted. The proposed algorithm evaluated uses

real HSI data set. It shows that ICA gives the most optimistic presentation it shrinks off the feature occupying a

small portion of all pixels distinguished from the noisy bands based on non Gaussian assumption of independent

sources. In turn, finding the independent components to address the challenge. A new approach DL based

method is adopted, that has greater attention in the research field of HSI. DL based method is evaluated by a

sequence prediction architecture that includes a recurrent neural network the LSTM architecture. It includes

CNN layers for feature extraction of input datasets that have better accuracy with minimum computational cost.

364-370

http://telecom.economictimes.indiatimes.com/news/industry/vodafone-india-is-the-most-admired-marketer-brand-equity/43957621

http://www.livemint.com/Companies/CSiusO7mecOBN4I9ByEe9O/2010-Phone-tap-exposes-telecom-sector-scam.html

http://knowledge.wharton.upenn.edu/article/business-vs-ethics-the-india-tradeoff/

http://www.thehindubusinessline.com/opinion/india-lacks-business-ethics/article5093688.ece

http://www.(url)/

http://www.atm.com/

http://www.(url)/

Keyword: Hyperspectral Imaging(HSI), Dimensionality Reduction(DR), Deep Learning (DL), Independent

Component Analysis(ICA),Principal Component Analysis(PCA),Minimum Noise Fraction(MNF). References:

1. E. H. Land and J. McCann, “Lightness and retinex theory,” JOSA, vol. 61, no. 1, pp. 1–11, 1971.

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Image Analysis: A Review", IEEE , Vol.6, pp.14118-14126, 2018.

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Congress Technical Commission VII, International Archives of the Photogrammetry, Remote Sensing and Spatial Information

Sciences; 3–11 July 2008; Beijing, China. pp. 297-302.

6. "Dimensionality Reduction Techniques for Hyperspectral Images" Shraddha P. Lodha1 and Prof. S. M. Kamlapur2, International

Journal of Application or Innovation in Engineering & Management (IJAIEM) WebSite: www.ijaiem.org Email:

[email protected] Volume 3, Issue 10, October 2014 ISSN 2319 - 4847

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Reduction on Scientific Data" 2016 IEEE.

9. Gaurav Kumar,Pradeep Kumar Bhatia"A Detailed Review of Feature

10. Extraction in Image Processing System"2014 IEEE

11. Radhesyam Vaddi , Dr M Prabukumar "Comparative Study of Feature Extraction Techniques For Hyper Spectral Remote Sensing

Image Classification : A survey"IEEE 2017

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13. Asgeir Bjorgan,Lise Lyngsnes Randeberg ,"Real-Time Noise Removal for Line-Scanning Hyperspectral Devices Using a

Minimum Noise Fraction-Based Approach". Sensors 2015, 15, 3362-3378. OPEN ACCESS sensors ISSN 1424-8220

www.mdpi.com/journal/sensors.

14. Villa, J. A. Benediktsson, J. Chanussot, and C. Jutten."Hyperspectral image classification with independent component

discriminant analysis". IEEE Trans. Geosci. RemoteSens., 49(12):4865–4876, Dec. 2011.

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pp. 792–800, Jul. 1993

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hyperspectral image analysis,” IEEE Trans. Geosci. Remote Sens., vol. 50, no. 4, pp. 1185–1198, Apr. 2012.

17. S. Chen and D. Zhang, “Semisupervised dimensionality reduction with pairwise constraints for hyperspectral image

classification,” IEEE Geosci. Remote Sens. Lett., vol. 8, no. 2, pp. 369–373, Mar. 2011.

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IEEE Trans. Geosci. Remote Sens., vol. 51, no. 9, pp. 4800–4815, Sep. 2013.

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Classification", 2nd International Conference (ICEEE) December 2017

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29. Jing Wang, Student Member, IEEE, and Chein-I Chang, Senior Member," Independent Component Analysis-Based

Dimensionality Reduction With Applications in Hyperspectral Image Analysis", IEEE Transactions On Geoscience And Remote

Sensing, Vol. 44, No. 6, June 2006.

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31. Konstantinos Makantasis , Konstantinos Karantzalos , Anastasios Doulamis , Nikolaos Doulamis"Deep Supervised Learning For

Hyperspectral Data Classification Through Convolutional Neural Networks" IEEE 2015

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Measurements-Based Deep Recurrent Neural Networks "

34. A. Villa, J. A. Benediktsson, J. Chanussot, and C. Jutten. Hyperspectral image classification with independent component

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74.

Authors: Y Sukanya, P.SaiSpandana, G.V Harshini, P.V.Y.JayaSree

Paper Title: DGS based Planar Inverted F Antenna for Multiband Applications

Abstract: As Long Term Evaluation systems have more benefits when compared to other network systems,

it became more popular. Integrating a lower band with a higher by considering space as a constraint became a

challenge for designers. A simple PIFA (Planar Inverted F Antenna) with DGS(Defective Ground structure) is

suggested inmultiple band applications. The proposed antenna is designed using the CST Microwave Suite 2017.

The design is for substrate having εrof 4.4(FR-4), (tan δ ) 0.02 as loss tangent with a thickness of 1.53mm is

preferred for designing of this antenna and is etched directly upon the substrate.

Keyword: Planar Inverted F Antenna,Defected Ground Structure (DGS), Multi band, Return Loss(RL). References:

371-373



http://www.mdpi.com/journal/sensors






1. Wi, Hyunho, Byeongkwan Kim, Woojae Jung, and Byungje Lee. "Multiband handset antenna analysis including LTE band

MIMO service." Progress In Electromagnetics Research 138 (2013): 661-673..

2. Zhao, Guo‐Huang, An‐Guo Wang, Wen Leng, Bin Chen, and Hua Chen. "Wideband internal antenna with coupled feeding for

4G mobile phone." Microwave and Optical Technology Letters 55, no. 3 (2013): 513-516.

3. Chu, Fang-Hsien, and Kin-Lu Wong. "Planar printed strip monopole with a closely-coupled parasitic shorted strip for eight-

band LTE/GSM/UMTS mobile phone." IEEE Transactions on Antennas and Propagation 58, no. 10 (2010): 3426-3431.

4. A. Verma, "A novel quad band compact meandered PIFA antenna for GPS,UMTS, WiMAX, HiperLAN/2 applications,"

Second InternationalConference on Advances in Computing and Communication Engineering,2015.

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systems." In International Multi-Conference on Systems, Signals & Devices, pp. 1-4. IEEE, 2012.

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Communications, and Control Technology (I4CT), pp. 550-554. IEEE, 2015.

8. Sun, Qiao, Baohua Sun, Ling Sun, Wei Huang, and Qiannan Ren. "Broadband two-element array with hybrid decoupling

structures for multimode mobile terminals." IEEE Antennas and Wireless Propagation Letters 14 (2015): 1431-1434

75.

Authors: Lakshmi Balla, Venkata Krishna Sharma Gollakota, Sandhya Teku

Paper Title: Different LNA Topologies Designed with HEMT Technologies at Ka and Q Bands

Abstract: The main drawback of designing LNA with CMOS technology is the high power dissipation. This

problem can be overcome by designing LNA with HEMT technology. In this paper we went through several

LNA‘s designed with different HEMT technologies from the past few decades. Assessment of different LNA

topologies with HEMT technologies around ka and Q band is performed in this paper along with EM

simulations of PP1010 unconditionally stable LNA.

Keyword: Complementary metal oxide semiconductor (CMOS); Low noise amplifier (LNA); Radio

Frequency (RF); High electron mobility transistor (HEMT); References:

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374-377

76.

Authors: Mukesh Shekhar, C. Anirvinna, Aravind Kumar Rai

Paper Title: Choose or Check-In: Gender Influence in Booking of the Luxury Hotels in Jaipur

Abstract: Accommodation is a main consideration which assumes a significant job in sustainability of

tourism among the creating nations. The visitor basic leadership process in lodging determination particularly

extravagance portion is impacted by such a significant number of components which incorporates climate, inn

area, value, individual inclinations, etc. Along these lines, the principle reason for this investigation is to

discover the job of gender in choice of lavish inns of Jaipur in context to tourism sustainability. To satisfy the

motivation behind the examination, an aggregate of 200 visitors were chosen from five lavish lodgings of Jaipur

visited in the previous one month and to evaluate the buyer basic leadership style of the visitors according to the

sex, a self-built poll was utilized. To investigate the information Independent t-test was employed. Results

uncovered that there was a critical effect of sexual orientation in determination of lavish lodgings in Jaipur. Therefore we can presume that sex factor to be contemplated for tourism sustainability.

Keyword: Luxury Hotel, Sustainability, Gender, Tourism, Jaipur References:

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59, pp. 1297-1300.

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management studies, 4(1), pp. 143- 153.

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378-380

making styles. Journal of Consumer Affairs, 27(1), pp. 33-75.

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consumer interest on Columbus, OH.

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17. Volume 8, pp. 301-308.

18. Yusoff, F. M. & Abdullah, F. S., 2010. what really matters when choosing a hotel? the case of middle east tourists in Kuala

lumpur, malaysia. Journal of Tourism, Hospitality & Culinary Arts, Volume 5, pp. 55-62.

77.

Authors: Abhinav Mishra, Dr. Sunishtha Dhaka, Mukesh Shekhar

Paper Title: Customer Behavior and Attitude Assessment for Green Practices in lodging Industry at India

Abstract: Green programs become more effective and efficient by acquiring the in depth knowledge of

customers’ desire for participation in green activities. This paper provides the assessment of guests’ that are

staying in hotel with their environmentally friendly approaches that influenced the intentions. Second, this

research estimates the customer barriers for participation such as reduced luxury, cost cutting perceptions and inconvenience. Such parameters are significantly influence the intention of consumers’ and make the decision on

whether to stay at a green hotel or spend additional cost for a room in such a hotel. Third, the work depicts that

customers never consider the importance of green practices connected with staying in a hotel whether they

believe the requirements. Fourth, the survey report shows that customers take the responsibility of environment

much enthusiastically for home rather than a hotel. These findings are important for providing the relevance of

actions and communication of hotel managers’ to guests’ concerning by cost cutting perceptions reduction,

increasing participation accessibility in green programs, and educating customers about green practices.

Keyword: Consumer behavior, Customer Attitude, Corporate social responsibility, Environment, Green

practices, Hotel industry, Tourism. References:

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companies in Britain and Germany”, Marketing Intelligence & Planning, Vol. 14 No. 1, pp. 19-28, 1996.

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1995.

7. K. Peattie, Environmental Marketing Management: Meeting the Green Challenge, Pitman, London, 1995.

8. R. Welford, Hijacking Environmentalism, Earthscan, London, 2000.

9. S. T. Foster, S. E. Sampson and S. C. Dunn, “The impact of customer contact on environmental initiatives for service firms”,

International Journal of Operations & Production Management, Vol. 20 No. 2, pp. 187-203, 2000.

10. M. Roarty, “Greening business in a market economy”, European Business Review, Vol. 97 No. 5, pp. 244-54, 1997.

11. M. Ton, M. Lin and D. Radin, Greening Your Property: A Green Seal Guide, Green Seal, New York, NY, 1996.

12. J. Forte, “Environmentally-friendly management in hotels”, in Taylor, B., Hutchinson, C., Pollack, S. and Tapper, R. (Eds),

Environmental Management Handbook, Pitman Publishing, London, pp. 168-86, 1994.

13. Green Globe, The Green Globe Manual, Green Globe, London, 1994.

14. V. T. C. Middleton and R. Hawkins, Sustainable Tourism: A Marketing Perspective, Butterworth-Heinemann, Oxford, 1998.

15. D. Kirk, Environmental Management for Hotels, Butterworth-Heinemann, Oxford, 1997.

16. A. Mathieson and G. Wall, Tourism: Economic, Physical, and Social Impact, Longman, Harlow, 1996.

17. J. A. Ottman, “Sometimes consumers will pay more to go green”, Marketing News, Vol. 26, 1992.

18. B. B. Schlegelmilch, G. M. Bohlen and A. Diamantopoulos, “The link between green purchasing decisions and measures of

environmental consciousness”, European Journal of Marketing, Vol. 30 No. 5, pp. 35-56, 1996.

19. V. Wong, W. Turner and P. Stoneman, “Market strategies and market prospects for environmentally friendly consumer

products”, British Journal of Management, Vol. 7, pp. 263-81, 1996.

20. R. Roy, “Designing and marketing greener products: the Hoover case”, in Charter, M. and Polonsky, M.J. (Eds), Greener

Marketing: A Global Perspective on Greener Marketing Practice, Greenleaf Publishing, Sheffield, 1999.

21. J. H. Leigh, P. E. Murphy and B. M. Enis, “A new approach to measuring socially responsible consumption tendencies”, Journal

of Macromarketing, Vol. 8 No. 1, pp. 5-20, 1988.

381-386

22. W. J. Kardash, “Corporate responsibility and the quality of life: developing the ecologically concerned consumer”, in Henion,

K.E. and Kinnear, T.C. (Eds), Ecological Marketing, American Marketing Association, Chicago, IL, 1974.

23. A. Menon, A. Menon, J. Chowdhury and J. Jankovich, “Evolving paradigm for environmental sensitivity in marketing programs:

a synthesis of theory and practice”, Journal of Marketing Theory and Practice, Vol. 7 No. 2, pp. 1-15, 1999.

24. P. D.Christensen, “The environment: it’s not time to relax”, McKinsey Quarterly, Vol. 4, 1995.

25. J. Schwartz, “Earth day today”, American Demographics, Vol. 12 No. 4, pp. 40-1, 1990.

26. I. Ajzen, Attitudes, Personality, and Behaviour, Open University Press, Milton Keynes, 1988.

27. R. G. M. Pieters, Attitudes and Behaviour in a Source Separation Program: A Garbology Approach, Eburon, Delft, 1989.

28. F. Olander and J. Thogersen, “Understanding of consumer behaviour as a prerequisite for environmental protection”, Journal of

Consumer Policy, Vol. 18 No. 4, pp. 345-85, 1995.

29. F. L. Reinhardt, “Environmental product differentiation: implications for corporate strategy”, California Management Review,

Vol. 40 No. 4, pp. 43-73, 1998.

30. Roper Starch Worldwide, Green Gauge Report, Roper Starch Worldwide Inc., New York, NY, 1997.

31. S. Gallagher and N. Kennedy, “Organic foods: pricier, but safer?”, Kiplinger’s Personal Finance Magazine, Vol. 51 , 1997.

32. M. B. Marcus, “Organic foods offer peace of mind . . . at a price”, US News and World Report, Vol. 130, p. 130, 2001.

33. S. T. Foster, S. E. Sampson and S. C. Dunn, “The impact of customer contact on environmental initiatives for service firms”,

International Journal of Operations & Production Management, Vol. 20 No. 2, pp. 187-203, 2000.

78.

Authors: Y. Srinivasa Rao, R.Madhu

Paper Title: Millimeter Wave Channel Estimation and Beam forming Techniques

Abstract: Millimeter-wave(mm-wave) frequencies offer higher bandwidth communication channels. Most of

the wireless communication equipment operates with 6GHZ carrier frequencies, where the millimeter-wave

communication systems are operated in the frequency range of 30GHZ to 300GHZ. Channel estimation will

become a difficult task when the number of antennas is more than the number of radiofrequency chains.

Millimeter-wave communication has received large attention from research fraternity and industry. In this paper,

we listed the evolution and advancements in antenna beam forming, at the same time we outline some of the

channel estimation techniques such as Auxiliary Beam pair (ABP), Adaptive algorithm based Codebook

design(AABCD), Estimation of Signal Parameters by Rotational Invariance Technique (ESPRIT).

Keyword: AABCD, ABP, Beamforming, ESPRIT, mm-wave. References:

1. Heath R. W et all., ``An overview of signal processing techniques for millimetre wave MIMO systems,'' IEEE J. Sel. Topics

Signal Process., vol. 10, no. 3, pp. 436_453, Apr. 2016.

2. Kutty Shajahan et all., “Beamforming for Millimeter Wave Communications: An Inclusive Survey” IEEE Communications

Surveys & Tutorials, Vol. 18, No. 2, Second Quarter 2016.

3. Miao H et all., ``2-D unitary ESPRIT based joint AOA and AOD estimation for MIMO system,'' in Proc. IEEE 17th Int. Symp.

PIMRC, Sep. 2006.

4. Kalyani et all.,`` Survey on channel estimation techniques for mm wave massive MIMO with hybrid precoding” IOSRISSN (e):

2250-3021, ISSN (p): 2278-8719 Vol. 09, Issue 5 (May. 2019), PP 52-58

5. Swindlehurst A. Lee, et all.,”Millimeter-Wave Massive MIMO:The Next Wireless Revolution?”,IEEE Communications

Magazine • September 2014

387-391

79.

Authors: B. Suvarnamukhi, M. Seshashayee

Paper Title: Big Data Framework for storage Extraction and Identification of Data using Hadoop Distributed

File system

Abstract: Big data is all about the developing challenge that associations face in today’s world, As they

manage enormous and quickly developing wellsprings of information or data, with the complex range of

analysis and the problem includes computing infrastructure, accessing mixed data both structured and

unstructured data from various sources such as networking, Recording and stored images. Hadoop is the open

source software framework includes no of compartments that are specifically designed for solving large-scale

distributed data storage. MapReduce is a parallel programming design for processing

Keyword: Big data, Hadoop, MapReduce, Parallel Programming. References:

1. ‘Kunal Jain Amrit pal’, Pinki Aggrawal,Sanjay Aggrawal “A Performance Analysis of Mapreduce Task with Large Number of

Files Dataset in Big Data using hadoop” Fourth International Conference on Communication Systems and Network

Technologies, 2014. [4] Kaur, Anureet.

2. J.Q.Simon Woolf, S.H Purnell, , S.M..Zimmerman, E.BCamberos, G.J.Haley R.P. 2015.’Translating Evidence into Population

Health Improvement: Strategies and Barriers, ‘Annual review of public health (36), pp. 463-482.

3. Suvarnamukhi, B., and M. Seshashayee. "Big Data Concepts and Techniques in Data Processing." (2018).

4. N.Baro, E.D.SamuelBeuscart, RegisChazard, Emmanuel. 2015. "Toward a Literature-Driven Definition of BigData in

Healthcare," BioMed research international (2015), 2015, pp. 639021-639021.

5. BigData Survey, Technologies, Opportunities, and Challenges http://www.hindawi.com/journals/tswj/2014/712826.

6. Ghose, Anindya, and Arun Sundararajan. "Evaluating pricing strategy using e-commerce data: Evidence and estimation

challenges." Statistical Science 21.2 (2006): 131-142.

392-394

80.

Authors: VSR Pavan Kumar Neeli, USalma

Paper Title: Load Frequency control(LFC) of a Multiarea Restructured Hybrid Powersystem on Multi objective

SSA

Abstract: The aimof the paper tune the paramters of the load frequency controller using a latest and novel

algorithm named as Salp sarm of algorithm with multiobjective approach. The test system choosen is a Two area

interconnected hybrid power system under deregulated-environment integrated with Distributd genertion (DG) 395-402

resource.The DG systems consists of Windturbine generator(WTG), SolarPV systems, Diesels engines

generators(DEG), Fuelcells with Aqua electrolyzers and Energy storages like Batteries energy storage

systems(BESS). To minimise the frequency of oscillations, Secondarycontroller opted was an optimal Fuzzy

PID plus double integral controller (FPID-II). The effectiveness of proposed controller is determined with the

comparison of nominal PI, PID and Two degree freedom PID (TDOFPID) controller. Furthermore the dynamic

responses of SSA tuned FPID-II controller are been compared with other optimization techniques. The results depit the superiority of the proposed controller in suppressing the deviations of frequency.

Keyword: Hybrid power system, Salp swarm algorithm, Fuzzy PID plus double integral controller,

MATLAB/Simulink. References:

1. Lal Deepak Kumar and Ajit Kumar Barisal "Loa frequency control of AC micro grid inter-connected thermal powers

systems" IOP Conferences Series: Materials Sciences and Engineering Vol225No1IOPPublishing2017

2. PandeShashiKat"Frequecy regulating in hybrids powers system using particles swarms optimization and linear matrix in

equalities base robust cotrollersdesig" InternationalJournalfElectricalsPowers&EnergySystemss 2014p887to900

3. BeheraSaradPrasanna"HybridspowerssystemFrequecyregulatinusing

HybridsPIDFbaserobustcontrllerdesignandDiffeentialEvoltion(DE)

algorthms2018TehnologiesforSmartCitEnergySecuritandPowersICSESP IEEE2018

4. BeheraSaradPrasanna"HybridspowerssystemFrequecyregulatinusing TIDbaserobustcontrllerdesignandDiffeentialEvoltion(DE)

algorthms2018TehnologiesforSmartCitEnergySecuritandPowersICSESP IEEE2018

5. SaikiLalitChandraandNidulSinha"Loadfrequencycontrolofmultiareashybridspowerssystemsusingssymbiotiorganimsseachoptimze

dtwodegreoffreedocontrolerInternatinalJournalofRenewablEnergesearchIJRER2017,1663to1674

6. AryaYogendra"Automticgeneratincontroloftwoareaelectricalspower

ssystemsviaoptimalsfuzzyclassiclcontroller"JournaloftheFranklinInstitut2018pp2662to2688

7. MirjaliliSeyedali"Salps Swarms Algrithm:Abioinspired optimzerfor engineringdesign problemss" Advance

inEngineringSoftware2017

8. pp163to191

9. MirjaliliSeyedeZahra"Grasshoperoptimzationalgorthmformulti-objetive optimzation

problems"AppliedIntellgence2018pp805to820

10. MirjalilSeyedalPradeepJangrandShahzadSaremi"Multis-objectivesantlionoptimizers:multis-

objectivesoptimzationalgorithmsforsolvingenginering problemss"AppliedIntellgenc2017pp79to95

11. MirjalilSeyedali"Dragonflysalgorithms:newmeta-heursticoptimzation techniquesforsolvingssingle-objectivediscreteandmulti-

objetiveproblems" NeuralComputngan Application2016pp1053to1073

12. KennedyandEberhart"Particlesswarmoptimzation(PSO)" ProcIEEE

InternatinalConferencesonNeuralNetworkssAustralia1995pp1942to1948

13. DasDulalAKRoyand NSinha"GAbasedfrequencyscontrollersforsolar thermals–diesels–windd hybrid

senergysgenerationenergystorage systems"InternationalJournalofElectricalsPowers&EnergysSystem2012pp262to279

14. SeshadriAravind"Multisobjectivesoptimizationsusingevolutionary algorithmss MOEA2006pp1to20.

15. ShankarGandMukherjee"Loadsfrequencyscontrolsoffautonomouss hybridspowerssystems byy quasii-oppostional

harmonyssearch algorthm"InternationaJouna ofElectricals Powers&EnergysSystemss2016 pp715to734

16. LaLoLei.Powerssystemsrestucturingandderegultiontrading performnce andinformatioontechnologysNewYork Wiley2001

17. DondVaibhaMAPaiandIanAHiskens"Simulationsandoptimizastionsin anAGCsystemsafterdereguation"IEEE transactions on

power syste2001 pp481to489

18. Shayeghi AShayanfarandAJalili"LFCsdesignsofdereguulatedpowers

systemswithTCPSusingsPSO"InternationnalJourrnalElectrricaland ElectrronicEngineering2009pp632to640

19. KakimotNaotandKazuhirBaba"Performaance off gasturbiine bassed plantduriingfrrequencydroops"TransactioononPowers

SystemsIEEE 2003 pp1110to1115

20. LakshmiDFathimandRanganathMuthu"Simulatioon oofTwoArea DerregulatedPowerr0Systemmusing ParticlesSwarms

Optimizaations "Interrnationa l Jourrnalon Electrrical Engineerring& Inforrmatics 2016

21. Ibraheeem"Optimallautomaticegenerrationcontrrolofinterrconnected powerrsystemmwith aasynchronous tieliness under

derregulated ennvironments "Electrric PowerrCompponentt andSysstems2012 pp1208to1228

81.

Authors: Rapaka Prabhakar, Abhishaktha Varma Teppala, T.Venkataramana

Paper Title: Diurnal Behaviour of Tropospheric Scintillations at Ka band Frequencies for Indian Climate

Conditions

Abstract: In this to study the diurnal behavior of scintillations at ka band frequencies for Indian tropical

climate conditions. Scintillations are the most significant important propagation impairment at ka band

frequency. To minimize this effect need to study the complete behavior of scintillations. Because the

scintillations are vary with respect time(day and night),the metrological parameters temperature and relative

humidity are more effected on the scintillation variations.

Keyword: Diurnal behavior, Scintillations, Ka band frequency,Temparature and relative humidity. References:

1. Satellite communications, Timothy prett,C.W.Bostian,J.E.Allnutt,2nd ed.2007.

2. ITURP618-19-10”prediction methods and propagation data requeried for the design of earth space telecommunication

system.ed.2010.”

3. ”Refractivity data, formula and radio refractivitive index,2012.

4. www.weather.uwyo.edu.

5. M.L.J.Vandekamp,1999,:Climatical radio wave propagation methods for the design of satellite communication systems.”

6. A new prediction method on earth space paths for tropospheric scintillations”.IEEE Transactions Vol.36,PP_16081614,1988.

7. USN.T&SPACE,SAO,Propagation effects, applications for satellite system design on 10-100GHz.

8. Dept. of space,2013,”EdusatUtilization program”.

9. www.nasa.gov.in

403-405

82. Authors: Sangeetha Balne, T. Gowri, C. Kaushik

Paper Title: FPGA based On-Chip Phase Measurement System

Abstract: Phase measurement is generally significant in electronic applications where the asynchronous

connection between the signals requires to be defended — conventional automated frameworks used for time

estimation, which are planned to use an old-style mixed-signal method. With the appearance of reconfigurable

equipment, for example, Field Programmable Gate Array (FPGA), it is progressively worthwhile for researchers

to choose for all-advanced design. Fast sequential handsets of FPGA hardware don't confirm the comparable chip inertness after each power cycle and reset cycle. This reason vulnerability of stage connection between

recovered signals.In this paper, a reaearchofthephase measurement system with a focus on the frequently utilized

techniques for high-resolution electronic applications is presented. The effects of phase measurement are

evaluated on various performance metrics such as peak to peak jitter, power consumption,and chip area,

etc.Thisresearch work motivates the researchers to do further research to preserve the synchronous relationship

between signals in network-on-chip.

Keyword: Electronic applications, classical mixed-signal technique, phase measurement, Reconfigurable

hardware, and Transceivers. References:

1. JubinMitra, Tapan K. Nayak, An FPGA-Based Phase Measurement System, IEEE Transactions on Very Large Scale Integration

(VLSI) Systems Volume: 26, Issue: 1, Jan. 2018.

2. Zhang, Lei, Zongmin Wang, Tieliang Zhang, Xinmang Peng, Jinhao Wang, and Hegang Hou. "An All-analogue Duty Cycle

Corrector with High Accuracy, Wide Correction Range and Configurable Crossing." In Proceedings of the 2017 2nd International

Conference on Communication and Information Systems, pp. 116-120. ACM, 2017.

3. Gupta, Ankita,et al. "An efficient approach to zero crossing detection based on opto-coupler." International Journal of

Engineering Research and Applications 3, no. 5 (2013): 834-838.

4. Shao-Ku Kao n, Yong-De You, Clock buffer with duty cycle corrector, Microelectronics Journal 42 (2011) 740–744. \

5. JianhuiWuet al ,1 MHz–3.5 GHz, wide range input duty 50% output duty cycle corrector, Analog IntegrCirc Sig Process (2012)

71:531–538.

6. Prakash, SR Jaya, Sujatha S. Hiremath. "Dual loop clock duty cycle corrector for high speed serial interface." In 2017

International Conference On Smart Technologies For Smart Nation (SmartTechCon), pp. 935-939. IEEE, 2017.

7. Fang, Yun, Xiao-Peng Yu, Zheng Shi, Kiat Seng Yeo. "A 2.4 mW 2.5 GHz multi-phase clock generator with duty cycle

imbalance correction in 0.13 µm CMOS." Integration 63 (2018): 87-92.

8. Harikrushnaetai.. "Design, implementation and characterization of XOR phase detector for DPLL in 45 nm CMOS technology."

Advanced Computing 2, no. 6 (2011): 45.

9. [9]Kim, Daehyeoket. al. "An 8-bit 2 GS/s 80 mW high accurate CMOS folding A/D converter with a symmetrical zero-crossing

technique." Analog Integrated Circuits and Signal Processing 86, no. 3 (2016): 407-415.

10. Hung, Yu-Cherng, Kuei-Ching Tsai. "A new delay-line sharing based CMOS digital PWM circuit." International Journal of

Advancements in Computing Technology 4, no. 18 (2012): 177-186.

406-410

83.

Authors: Araso Taye Waktola , J. Saravanan , B. Annapurna, Raushan Kumar Singh

Paper Title: An Efficient Utilization of Robotics and IoT to Overcome Threats of Pesticides

Abstract: Agriculture is the most important occupation all over the world. At the global level, the crops

produced get damaged by pests and pathogens by 10 to 40 per cent. If the proper pesticides are not used this data

can reach up to 70-90% which can cause severe food crisis and all economy might crash. To overcome the situation the immediate solution is the pesticides. Pesticides were used to reduce the damage of crops to much

extent. The use of pesticides now created a new problem i.e. cancer in farmers. Pesticides are nothing but a

combination of hundreds of synthetic and natural chemicals. All over the world mainly three chemicals are used

as pesticides lindane, arsenic and ethylene oxide. These are the topmost chemicals categorized as carcinogens as

stated by the International Agency for Research on Cancer (IARC). Whenever farmers use the pesticides in any

form irrespective of what they use as precaution majors some amount of pesticides comes in contact with the

farmer. The protective gears like masks, gloves, shoes and glasses can protect the pesticides coming in contact

with the human but 100% stoppage is impossible to second problems is the farmers mostly avoid the usage of

protective gears due to its cost and the uneasy feeling to wear it during the work. We plan to create a hybrid

system. If IoT and Robotics to overcome the above-stated problem our robot is equipped with the sprayer and

mobile phone controlled navigation system. It can show its locations on Google map as well. Farmers can operate the robot from a safer distance. They can spray the pesticides and at the same time upload all the data

logs of the IoT cloud server. The time of robots started how many time and for how much time the pesticides

were sprayed can be monitored from any remote location throughout the world. This solves the problem of

farmers coming in contact with pesticides as well as online monitoring of work done efficiently. The robotics

system operates over Atmega 328p Pu microcontroller and IoT system over ESP8266 module of Wi-Fi-based

internet system.

Keyword: Carcinogens Lindane, Arsenic, Ethylene Oxide, IARC References: 1. Bovey R. “La défence des plantes cultivées. Editions Payot Lausanne”, 1967.

2. L. Pasinetti. “Malattie delle piante”, Hoepli, Milano, 1952.

3. Mandow, J. M. Gómez-de-Gabriel, J. L. Martínez, V. F. Muñoz, A. Ollero and A. García-Cerezo “The

Autonomous Mobile Robot AURORA for Greenhouse Operation” Robotics and Automation Vol. 3, N°4, pp. 18 -28,

December 1996.

4. Buemi F., Magrassi M., Mannucci A., Massa M., Sandini G. “The vision system for the agrobot project”, Proc. 5th ASAE

International Conference on Computers in Agriculture, Orlando, 1994.

411-415

5. Sezen, B. (2003), “Modelling Automated Guided Ve-hicle Systems in material Handling”, Dogus Univer-sitesi Dergisi, Vol 4, No. 3,

pp. 207-216.

6. Hopkins, M. (2000), “Automating in the 21st Cen-tury Career and Technical Education”, GreenhouseGrower, pp. 4-12.

7. Giacomelli G.A., and Ting K.C. (1995) “Transporta-tion and Robotics for Greenhouse Crop ProductionSystems”, Acta Hort (ISHS),

Vol 399, pp. 49-60.

8. Van Henten, E.J., Hemming J., Van Tuijl, B.A.J.,Kornet, J.G., Meuleman, J., Bontsema J. (2003),“Collision-free Motion Planning for a

CucumberPicking Robot”, Biosystems Engineering, Vol 86,No. 2 pp. 135-144.

9. Pilarski, T., Happold, M., Pangels, H., Ollis, M.,Fitzpatrick, K., Stentz A. (2002), “The DementerSystem for Automated Harvesting”,

AutonomousRobots, Vol 13, pp. 9-20.

10. Gan-Mor S., Ronen B., Kazaz I., Josef S., BilankiY. (1997), “Guidance for Automatic Vehicle forGreenhouse Transportation”, ACTA

Horticulture,Vol 443, pp. 99-104.

84.

Authors: Ravi Lourdusamy, Xavierlal J. Mattam

Paper Title: A Micro-view on Techniques for Knowledge Based Systems

Abstract: Knowledge representation has been a topic of research and study from the time machine

processing of data and information became popular. The attempt to mimic the human cognition using artificial

intelligence techniques has been the goal of artificial intelligence systems. The crux of cognition is knowledge.

Knowledge is an inference made from data and information that is acquired from a variety of sources. The

ability to efficiently acquire information, process it and store it as a knowledge base for further retrieval and use

makes the artificially intelligent system a cognitive system. The paper is a brief introduction to knowledge

representation techniques and schemes. Keyword: Artificial intelligence, Database, Knowledge base systems, Knowledge representation References: 1. F. Roda and E. Musulin, An Ontology-based Framework to Support Multivariate Qualitative Data Analysis, vol. 33. Elsevier, 2014.

2. F. Schmalhofer, “Expert Systems in Cognitive Science,” in International Encyclopedia of the Social & Behavioral Sciences, Elsevier,

2001, pp. 5128–5135.

3. F. A. Cummins, “Rules for Actions and Constraints,” in Building the Agile Enterprise, Elsevier, 2017, pp. 155–182.

4. S. Edelkamp and S. Schrödl, “Automated System Verification,” in Heuristic Search, Elsevier, 2012, pp. 701–736.

5. A. Valente and J. A. P. J. Breuker, “Legal Knowledge Based Systems,” in The Foundation for Legal Knowledge Systems, C. A. F. M.

Grütters, J. A. P. J. Breuker, H. J. Herik, Van den, A. H. J. Schmidt, and C. N. J. De Vey Mestdagh, Eds. IOS Press, 1992, pp . 123–

134.

6. M. Fedorova et al., Development of Computer Aided Modelling Templates for Model Re-use in Chemical and Biochemical Process

and Product Design: Import and export of models, vol. 37, no. June. Elsevier, 2015.

7. P. Harmon, “AI-driven process change,” in Business Process Change, Elsevier, 2019, pp. 417–439.

8. M. A. Tayal, M. M. Raghuwansh, and L. Malik, “Knowledge representation: Predicate logic implementation using sentence -type for

natural languages,” in 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT), 2013, pp. 1264–

1269.

9. J. Mylopoulos and H. Levesque, “An Overview of Knowledge Representation,” 1983, pp. 143–157.

10. K. De Smedt, “Knowledge Representation Techniques in Artificial Intelligence: An Overview,” in Human-Computer Interaction,

Berlin, Heidelberg: Springer Berlin Heidelberg, 1988, pp. 207–222.

11. P. Tanwar, T. V. Prasad, and M. S. Aswal, “Comparative Study of Three Declarative Knowledge Representation Techniques,”

nternational J. Comput. Sci. Eng., vol. 2, no. 7, pp. 2274–2281, 2010.

12. M. R. Mohapatra and J. R. Mohanty, “An Overview of Knowledge Representation Techniques,” Int. J. Sci. Res. Comput. Sci. Eng. Inf.

Technol., vol. 3, no. 5, pp. 490–495, 2018.

13. S. Medhi and H. Baruah, “Relational database and graph database: A comparative analysis,” J. Process Manag. New Technol., vol. 5,

no. 2, pp. 1–9, 2017.

14. A. Martinez, R. Mora, D. Alvarado, G. López, and S. Quiros, “A Comparison between a Relational Database and a Graph Database in

the context of a Personalized Cancer Treatment Application,” in Proceedings of the Alberto Mendelzon International Workshop on

Foundations of Data Management, 2016.

15. G. Jaiswal, “Comparative analysis of Relational and Graph databases,” IOSR J. Eng., vol. 03, no. 08, pp. 25–27, Aug. 2013.

16. H. R. Vyawahare, P. P. Karde, and V. M. Thakare, “A Hybrid Database Approach Using Graph and Relational Database,” in 2018

International Conference on Research in Intelligent and Computing in Engineering (RICE), 2018, pp. 1–4.

17. Y. Unal and H. Oguztuzun, “Migration of data from relational database to graph database,” in Proceedings of the 8th International

Conference on Information Systems and Technologies - ICIST ’18, 2018, pp. 1–5.

416-418

85.

Authors: D. Sheela, R. Murugesan, A. Subangini Devi

Paper Title: A Empirical Research on Retailer Perception on GST in Vellore District

Abstract: In this research use empirical study on retailer it show the supply chain of the production and

distribution to end user to the collection of tax. Different slab rate are implemented by our government and also

facilitate the foreign direct investment of retailers. ANOVA show the retailer perception about GST. The

researcher use primary data collection to the retailer and collect the information directly as well as indirectly.

The GST avoid cascading effect in the distribution chain and increase the tax payer.

Keyword: empirical, cascading, gst, supply chain. References: 1. http://ijrar.com/.

2. http://splan.in/blog/tag/scope-of-gst-india.

3. https://cleartax.in/s/29th-gst-council-meet-news.

4. https://cleartax.in/s/impact-gst-wholesalers-retailers.

5. https://www.deskera.in/gst-benefits-and-impact-on-indian-economy.

6. https://www.paisabazaar.com/tax/gst-rates.

7. https://www.pwc.in/assets/pdfs/trs/indirect-tax/sectoral-updates/impact-of-gst-fmcg-and-retail-sector.pdf.

8. https://www.socscistatistics.com/tests/

419-421

9. www.irjet.net.

86.

Authors: Sriganeshvarun N , Jayaprakash D

Paper Title: The Multidimensional Perspective and Impact of Media-Induced Tourism over Indian Tourism

Sector

Abstract: Indian tourism sector is one of the world’s leading excursion zone. As per the India Brand Equity

Foundation [IBEF]. India has 30 world heritage sites to showcase its rich tourism diversity. In 2018, The

Foreign Tourism Arrivals [FTA] was recorded approx. 10.6 crores which are a whopping 5% escalation from the

previous year. Indian movies are way popular throughout the world. Several Oscar-winning movies were shot in

India. Some of them are Life of Pi (2012), Slumdog Millionaire (2008), Gandhi (1982) etc. With the popularities

of these movies, scenes and location too got popular. The worldwide popularity of such movies escalates the

tourism business catalytically. The escalation of tourism leads to improved tourism revenue, jobs, foreign exchange and occupation. The media-induced tourism is the key to the growth of a country’s tourism income but

sustainable planning is needed to encash tourism revenue. Even after receiving the tourist major concern are

tourist safety, comfort, expenditure, visa process and a lot more. Our proposed paper is about the discussion over

cinematographic tourism, the relation of film-induced tourism and measures taken over the upliftment of media-

induced tourism.

Keyword: India Brand Equity Foundation [IBEF], Foreign Tourism Arrivals [FTA] References: 1. Riley, R. W., &Van Doren, C. S. (1992).Movies as tourism promotion, a pull factor in a push location. Tourism

Management,13(3), 267-274. doi: 10.1016/0261-5177(92)90098-R.

2. Riley, R.W., Baker, D., & Van Doren, C.S. (1998). Movie induced tourism. Annals of Tourism Research, 25(4), 919–935.

doi/10.1016/S0160-7383(98)00045-0.

3. Roesch, S. (2009).The experiences of film location tourists. (1sted.). Bristol, UK: Channel View Publications.

4. Ryan, S. (2012). Bollywood film shot in dublin expected to be watched by 100 million people. The Journal.ie, Retrieved from

http://www.thejournal.ie/ bollywood-film-shot-in-dublin-expected-to-be-watched-by-100-million-people-557882-Aug2012/.

5. Sellgren, E. (2011).Film-induced tourism: The effect films have on destination image formation, motivation and travel behaviour.

Saarbrücken, Germany: Lambert Academic Publishing.

6. Smith, A. (2005). Conceptualizing city image change: The „re-imaging‟ of barcelona.Tourism Geographies,7(4), 398-423. doi:

10.1080/ 14616680500291188

7. Spain wants Indian tourists, filmmakers. (2011, September 25).eTurboNews Group. Retrieved from

http://www.eturbonews.com/25411/spain-wants-indian-tourists-filmmakers.

8. Tagliabue, J. (2012, Oct 20).Yash Chopra's love affair with Switzerland.The New York Times. Retrieved fro m

http://movies.ndtv.com/ bollywood/yash-chopra-s-love-affair-with-switzerland-282805.

9. TNN (2006, Jun 26).Singapore gears up to encashKrrish. The Economic Times. Retrieved from

http://articles.economictimes.indiatimes.com/2006-06-26/news/.27426133_1_singapore-tourism-board-assistant-chief-executive-

indian-film-makers.

10. Tooke, N., & Baker, M. (1996). Seeing is believing: The effect of film on visitor numbers to screened locations. Tourism

Management, 17(2), 87-94. doi/10.1016/0261-5177(95)00111-5

11. Tourism Australia.(2012).Summary of tourism Australia‟s 2020 India strategic plan. Retrieved from http://

www.tourism.australia.com/ documents/ Markets/India2020-June2012.pdf.

12. Woodside, A., &Lysonski, S. (1989). A general model of traveller destination choice.Journal of Travel

Research,27(4), 8-14. doi: 10.1177/004728758902700402.

422-426

87.

Authors: S. Sasikumar, Sajan M. George

Paper Title: The Effect of Personality on Interpersonal Power and Power Distance of Employees of MRF Tyres

Ltd. – Kottayam

Abstract: Fundamentally every society is made up of individuals and groups who have interaction among

them. In the process interaction, power turns out to be the force that keeps the social relationship going. Though

there can be various types and levels of interactions, all will have power at the base of it all. Possession of power

certainly changes individuals for good or bad. But obviously it happens. Power enables the individuals to make

proper decisions provided one is capable of handling power properly. What makes an individual to handle power

properly is one’s personality. For, it certainly influences the thinking pattern, emotional expressions and deeds.

Hierarchy is part and parcel of a society. Here employees with high dominance of power sustain hierarchy. Due

to this there occurs opportunities for interpersonal power and power distancing. Power distancing will certainly occur for those employees who find themselves with less power or with more power than the others.

Interpersonal power also will occur among the individuals of the society when they are able to influence the

other with their positive utilization of power. Here the study that is undertaken with the title the effect of

personality on interpersonal power and power distance of employees of MRF Tyre Ltd, Kottayam, is an effort to

find the effect of personality on interpersonal power and power distance. It helps to analyze if personality is

related to interpersonal power, is there a relationship between personality and power distance and to see if there

is any intervention of interpersonal power between personality and power distance. The methodology used will

be a descriptive one. Questionnaire and interviews were used to collect data and various statistical tools will be

used to analyze the data. Findings are placed after that with a conclusion suggesting to utilize the power for the

welfare of the society and its growth. Keyword: Agreeableness, Conscientiousness, Emotional Stability, Interpersonal Power, Openness,

Personality, Power Distance References: 1. J. P. Guilford, Personality (Delhi: Surjeet Publications, 2007).

427-430

http://www.irjet.net/

2. Uma Sekaran& Roger Bougie, Research Methods for Business: A Skill Building Approach, Fifth Edition, (Wiley India (P) Ltd, 4435-

36/7, Ansari Road, Daryaganj, New Delhi – 02, 2012).

3. Aminu Yusuf Dikko, et.al., “Moderating Role of Power Distance on Personality towards Affective Commitment of Lecturers in

Nigeria”, International Journal of Management Research & Review (IJMMR), Volume 7, Issue 2, 2017, pp. 82-98.

4. Carlos J. Torelli& Sharon Shavitt, ‘Culture and Concepts of Power’, Journal of Personality and Social Psychology, Vol. 99, No. 4,

2010, pp. 703–723.

5. Henry K. Y. Fock, et. al., “Moderation Effects of Power Distance on the Relationship between types of Empowermen t and Employee

Satisfaction”, Journal of Cross-Cultural Psychology, 44 (2), 2013, pp. 281-298.

6. Joel B. Bennett, ‘Power and Influence as Distinct Personality Traits: Development and Validation of a Psychometric Measure’, Journal

of Research in Personality, Volume 22, Issue 3, 1988, pp. 361-394.

7. Sven Hauff& Nicole Frranziska Richter, ‘Power Distance and its Moderating Role in the Relationship between Situational Job

Characteristics and Job Satisfaction: An Empirical Analysis Using Different Cultural Measures’, Cross-Cultural Management An

International Journal, 22 (1), 2015, pp. 68-89.

8. https://study.com/academy/lesson/hofstedes-power-distance-definition-examples-quiz.html

9. https://www.apa.org/topics/personality/

10. https://www.britannica.com/topic/personality

11. https://www.encyclopedia.com/social-sciences/encyclopedias-almanacs-transcripts-and-maps/ interpersonal-power.

88.

Authors: S. Sasikumar, D. Dharmaraj

Paper Title: Consumer Awareness and Preferences towards Plywood in Chennai City

Abstract: The purpose of the study is to find out the awareness and preferences of consumers towards

plywood in Chennai city. Descriptive and quantitative research design has been adopted for the study. The

primary data has been collected through structured questionnaire with open and closed ended questions. Books,

magazines, journals, thesis and websites were referred to collect secondary data. The data was collected by

adopting purposive sampling technique from 100 consumers. Analysis namely reliability test, descriptive, chi-

square test, bivariate correlation and Kendall's W test were used to identify the relationship between awareness

and preferences of consumers towards plywood at Chennai city. The study found that there is a significant

relationship between consumer awareness and preferences on plywood. It also found that majority of the consumers prefer to have Krishna Plywood followed by Century Plyboards (India) Ltd., GreenPly Industries

Ltd., National Plywood Industries Ltd., Uniply Plywood, etc. Possible suggestions and conclusion were

discussed.

Keyword: Consumer Awareness, Consumer Preferences, Cracking, Diversification, Resistance References: 1. Cronbach, L. J. (1951). Coefficient Alpha and the Internal Structure of Test, Psychometrika, 16(3), 297-334.

2. Deborah L. DeLong, et. al. (2007). Overview of the Canadian Value-Added Wood Products Sector and the Competitive Factors that

Contribute to its Success. Canadian Journal of Forest Research, 37(11), 2211-2226.

3. Ismail, M. K. 2010. Consumer shopping behaviour for household furniture. International Journal of Arts and Sciences, 3(7):342-359.

4. Kaputa, V. & Šupín, M. (2010). Consumer Preferences for Furniture, International Association for Economics and Management in

Wood Processing and Furniture Manufacturing – WoodEMA, Vyhne, Slovakia, 81-90.

5. Ozanne, L., K. & Vlosky, R., P. (2003). Certific &tion from The U.S. Consumer Perspective: A comparison from 1995 and 2000. In:

Forest Products Journal. Vol. 53(3), 13-21.

6. Rajendra Nargundkar (2003). Marketing Research – Text and Cases, Tata McGraw-Hill Education, 2nd Edition.

7. Shukri, M. et. al. (2013). Consumers Knowledge and Preferences For Wood-Based Materials Used in Household Furniture

Manufacture, The Malaysian Forester, 76 (1), 40-46.

8. https://economictimes.indiatimes.com/industry/indl-goods/svs/paper-/-wood-/-glass/-plastic/-marbles/plywood-maker-greenply-bets-

on-asset-light-model-for-growth/articleshow/ 70855978. Cms.

431-435

89.

Authors: S. Sasikumar, A. Rakini

Paper Title: A Research on Employee Retention in Sacred Heart College (Autonomous), Tirupattur

Abstract: Many colleges experience increase in attrition and it has great impact on the performance of the

colleges. Objective of this study is to find why employee are leaving their job and propose retention initiatives.

The research instrument used to obtain data was questionnaire. A total 200 employees are there in the college.

By using random sampling a total of 140 employees were interviewed using questionnaires. Correlation analysis is used to test the inter correlation between the variable. Correlation result shows that the two variables of

motivation and job satisfaction were correlated with employee retention in the college. Same tool has been used

to determine the relationship between the variables namely the relationship of the management with the staff and

the factors influencing this relationship to grow stronger. Results indicate attrition is associated with

compensation provided for the additional working hours to the staff and their selection process. These findings

clearly indicate that in order to retain the best talented employees in the college, taking care of the employees by

having good relationship with them is a must.

Keyword: Employee Retention, Employee Satisfaction, Management. References: 1. M. Sudheer Kumar, Obulesu Varikunta & K. Ramakrishna “Employee Attrition and Retention Strategies in Manufacturing: An

Empirical Study in Amara Raja Batteries Limited”, International Journal of Innovative Technology and Exploring Engineering

(IJITEE), Vol. 8 (Issue .7), May 2019, pp.29 – 62.

2. Ruchi Tripathi & Vinay Pratap Singh “A Study on Employee Retention in Education Sector in India (with special reference to No ida

Region)”, International Journal of Research in Management &Business Studies (IJRMBS) Vol.4 (Issue: 4) 2017, p. 76.

3. Sarabjeet Kaural & Ritu Vijay “Job Satisfaction – A Major Factor Behind Attrition or Retention in Retail Industry”, Imperial Journal

of Interdisciplinary Research (IJIR), Vol.2 ( Issue.8), 2016, p. 993.

436-439

4. https://en.wikipedia.org/wiki/Employee_retention

5. https://www.managementstudyguide.com/employee-retention.htm

6. https://www.forbes.com/sites/steveolenski/2015/03/03/7-tips-to-better-employeeretention/#209a05b845 2b

7. http://www.shctpt.edu/aboutus.php.

90.

Authors: G. Deepalakshmi

Paper Title: Awareness of Green Marketing in Retailing and its Impact in Environment

Abstract: Green marketing refers to the process of selling goods or services based on environmental

benefits. Green selling is very much significant for a number of reasons from eliminating extravagance and to

educate all the consumers about maintaining the product or services eco-friendly. Objective of the studyis to

identify the awareness of green marketing among retailers and to analyses the impact of green marketing on

environment. This study is a quantitative type of research and it involves a descriptive research design. Quantitative research is obtained based on the structured questionnaire framed. Researcher has taken Primary

Data through Questionnaire and Secondary Data through Journals, Magazines and Internet. Researcher Used Bar

Diagram, Pie Diagram and Chi-Square Analysis for Interpretation.

Keyword: Awareness, Environment, Green Marketing, Impact, Retail References: 1. Donald R. Cooper and Pamela S. Schindler, Business Research method, 12th Edition, Tata Mc Graw Hill, 2010.

2. Duglas, J. Darymple, Marketing Management, John Wiley & Sons, 7th edition, 2008.

3. K. N. Krishnaswamy, Appa Iyer Sivakumar and M. Mathirajan, Management Research methodology, Pearson Education, New Delhi,

2009.

4. Micheal R. Czinkota & Masaaki Kotebe, Marketing Management, Vikas Thomson learning, 2nd edition, 2001.

5. Paul Baisen et al, Marketing, Oxford University Press, 13th edition, 2008.

6. Philip Kortler and Kevin Lane, Marketing Management, PHI 13th edition, 2008.

440-444

91.

Authors: Praveen Kumar S, S. Senith

Paper Title: A Research on Negative Percipience of E-Commerce by Non-Online Shoppers in Tirupattur

Abstract: The technological advancement has made a revolutionary impact almost in all firms, even from

the beginning of this millennium it has made big leap towards online business and online commercialization also

known as Electronic Commerce. The Metropolitan cities like New Delhi, Mumbai, Chennai, Bangalore

(Bengaluru) and Kolkata has been trendy and very well developed towards e-commerce and its impact is so high, as the lifestyle of man residing in those place varies and has huge difference with the people of rural and

semi urban people. This Survey is about the study on negative percipience of E-Commerce by non-online

shoppers with special reference to Tirupattur, a semi-urban town in Vellore District of Tamil Nadu, India.

Keyword: E-Commerce, E-Shopper perception, Purchase behavior, Semi-urban area, Traditional consumer

perception, References: 1. Dr .Anukrati Sharma, A Study on E – Commerce and Online Shopping: Issues and Influences. International Journal of Management,

4(1), 2015, pp. 364-376.

2. Hanaa El Bayed Sakalli (2018) Online purchase intention: Purchase orientations and expected benefits, International Journal of

Scientific and Research Publications, Volume 8, Issue 5, May 2018.

3. Nikhashemi, S.R., Paim, L., Yasmin, Yousefi, A. (2013), Critical Factors in Determining Customer Satisfaction Toward Internet

Shopping in Malaysia, Internal Journal of Business and Management Invention, 2 (1), p.44-51.

4. Pallavi Kumari (2012), Changing Purchase Behaviour of Indian Customers, Arth Prabandh: A Journal of Economics and Management,

Vol.1, Issue 8, November, P.35-41.

5. Sanjeev Kumar and Savita Maan (2014), Status and Scope of Online Shopping: An Interactive Analysis through Literature Review,

International Journal of Advance Research in Computer Science and Management Studies, Vol.2, Issue 12, December, p.100-108.

6. Shuchi Singhal and Shashi Shekhawat (2015), An Empirical Study of Customer Satisfaction in Online shopping Experience of Tourism

Products in India, International Journal of Scientific Engineering and Research. Volume.3, Issue.6, P.61-64

7. Winnie, P-M.W. (2014), Customer Interface Quality on Customer e-Loyalty and e-Satisfaction in Malaysia with the Effects of

Trustworthiness. Global Journal of Emerging Trends in e-Business, Marketing and Consumer Psychology, Vol.1 (2), p.118-136.

445-449

92.

Authors: Durai Pandurangan, Ramakrishna MM, Gopala Krishna R, Alemayehu Kebede

Paper Title: Super Resolution - An image Enhancement and Upscaling Technique for Satellite Imagery

Abstract: Satellite imagery is the phenomenon of extracting information from the images takes by satellite

which is owned by the government or business throughout the world. In other words, we can say satellite

imagery is the spaceborne photography which zooms enough to take photos of the surface of the earth and other

planets of the solar system. Most of the time images captured are not in sync which makes it really complex to study. Nowadays satellites are used by the government for patrolling border security and terrorist activities. To

clarify such extra zoomed image for human visibility ‘’super-resolution’’ was introduced. Super-resolution is an

image processing based resolution enhancement technique which improves the details available in an image. An

image with power order of resolution is taken an upscaled to its higher-order using multi-surface fitting and

image pixel transformations. Our proposed paper is to process the image in the proper order to enhance the

image quality so that we can increase the zooming capability of satellite imagery.

450-453

Keyword: Satellite Imagery, Multisurface Fitting, Super-Resolution (SR) References: 1. S. Wood, M Christensen, and D. Rajan, “Reconstruction algorithms for compound eye images using lens diversity,”paper presented at

the Defense Applications of Signal Processing 2004 Workshop, Midway Utah, 27 March–1 April, 2005.

2. S. L. Wood, B. J. Smithson, D. Rajan, and M. P. Christensen, “Performance of a MVE algorithm for compound eye image

reconstruction using lens diversity,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing,

2005 (ICASSP’05) (IEEE, 2005), pp. 593–596.

3. S. L. Wood, D. Rajan, M. P. Christensen, S. C. Douglas, and B. J. Smithson, “Resolution improvement for compound eye images

through lens diversity,” in Digital Signal Processing Workshop 2004 and the Third IEEE Signal Processing Education Workshop

(IEEE, 2004), pp. 151–155, doi: 10.1109/DSPWS.2004.1437931.

4. H.-B. Lan, S. L. Wood, M. P. Christensen, and D. Rajan, “Benefits of optical system diversity for multiplexed image reconstruction,”

Appl. Opt. 45, 2859 –2870 (2006).

5. J. W. Goodman, Introduction to Fourier Optics, 2nd ed.(McGraw-Hill, 1996), Chap. 6, pp. 146 –151.

6. H. L. Van Trees, Detection, Estimation, and Modulation Theory, Part I (Wiley, 1968).

7. A. W. Lohmann and W. T. Rhodes, “Two-pupil synthesis of optical transfer functions,” Appl. Opt. 17, 1141–1151 (1978).

8. J. N. Mait and W. T. Rhodes, “Two-pupil synthesis of optical transfer functions. 2: Pupil function relationships,” Appl. Opt., 2003–

2007 (1986).

9. A. Macovski, Medical Imaging Systems (Prentice-Hall, 1983.

10. C. Tomasi and R. Manduchi, “Bilateral filtering for gray and color images,” in Proc. 6th Int. Conf. Compu. Vis., Ser., 1998, pp. 839–

846.

11. C. Wang, L. Sun, P. Cui, J. Zhang, and S. Yang, “Analyzing image deblurring through three paradigms,” IEEE Trans. Image Process.,

vol. 21, no. 1, pp. 115–129, Jan. 2012.

12. N. Joshi, R. Szeliski, and D. Kriegman, “PSF estimation using sharp edge prediction,” in Proc. IEEE Conf. Comput. Vis. Pattern

Recognit., Jun. 2008, pp. 1–8.

13. A. Levin, Y. Weiss, F. Durand, and W. Freeman, “Efficient marginal likelihood optimization in blind deconvolution,” in Proc. IEEE

Comput. Soc. Conf. Comput. Vis. Pattern Recognit., Jun. 2011, pp. 2657–2664.

14. M. Almeida and L. Almeida, “Blind and semi-blind deblurring of natural images,” IEEE Trans. Image Process., vol. 19, no. 1, pp. 36–

52, Jan. 2010.

15. D. Keren, S. Peleg, and R. Brada, “Image sequence enhancement using sub-pixel displacements,” in Proc. IEEE Comput. Soc. Conf.

Comput. Vis. Pattern Recognit., Jun. 1988, pp. 742–746.

16. R. Lagendijk, J. Biemond, and D. Boekee, “Regularized iterative image restoration with ringing reduction,” IEEE Trans. Acoustics,

Speech Signal Process., vol. 36, no. 12, pp. 1874–1888, Dec. 1988.

17. M. Somayaji, M. P. Christensen, E. Faramarzi, D. Rajan, J.-P. Laine, P. Sebelius, A. Zachai, M. Chaparala, G. Blasche, K. Baldwin,

B. Ogun- femi, and D. Granquist-Fraser, “Prototype development and field-test results of an adaptive multiresolution PANOPTES

imaging architecture,” Appl. Opt., vol. 51, no. 4, pp. A48–A58, Feb. 2012.

93.

Authors: B. Annapurna, Raushan Kumar Singh, J. Saravanan, Durai Pandurangan

Paper Title: A tribrid Paradigm against Inundation wild animal attack and fire disasters

Abstract: In recent years the whole world witnessed several natural and manmade disasters. 2015

Earthquake in Nepal and India with 7.8 magnitudes which killed 9000 people and injured 22000 as per

Government Records. 2018 Flood in North Korea left 10,700 people as per the report of International Federation

of Red Cross (IFRC) and Wikipedia. Floods in India 2018, killed more than 300 in the state of Kerala. 2016,

Forest fire in Uttarakhand, India burnt 10,000 acres of Forest area. In between April 2014 – May 2017, 1,144

people killed by wild animals as per the report of Indian Environment Ministry (IEM). All the reports stated

above represents indications that regardless of several advancements and technical skill development to disaster

management is not considered efficiently worldwide. There are plenty of disasters which could be taken care of

much efficiently and wisely. If we see the disasters like flood, fire and animal attack we can easily notice that

they are manageable to much extent with expert technical advancements. Our paper is about the disaster management of the tribrid series (Flood, Fire, Wild Animal Attack) with the eminent usage of technology. We

create a flood sensing unit, a fire detection unit, and a wild animal detection unit with the help of sensors and we

create the alert and remedial action unit to protect the common men from sub disasters. We use Embedded and

IOT technologies together to provide worldwide coverage and accurate detection of the calamities.

Keyword: International Federation of Red Cross (IFRC), Indian Environment Ministry (IEM), tribrid series References: 1. Malaymail, (2015). Flood damage estimate tops RM 1b, 2 Jan 2015.

2. K. Endrowednes, S. Leonardy, and D. Jessie, 2010. Pre-flood Alarm Using GSM Modem, Proc. IC Tel,pp.173.

3. Endrowednes Kuantama, Leonardy Setyawan, and Jessie Darma, (2012). Early Flood Alerts Using Short Message Service (SMS),

Proc. ICSET, 2012 IEEE, pp.76.

4. Izzatdin. Azyan, Nazleeni and Mazlina, (2008). Cooperative Detection Using GSMD via SMS.

5. Ping Ultrasonic Sensor datasheet, Parallax, USA. [Online], http://parallax.com.

6. Son, B., A Design and Implimintation of forest fires surveillance System Based on Wireless Sensor Netw Mountains. International

Jornal of Computer Science and Network Security, 2006. 6: p. 124

7. Hafeeda, M., Bagheri, Forest Fire Modling and Early Detection Using Wireless Sensor Networks. Ad Hoc Sensor

WirelessNetworks, 2009. 7: p. 169-224.

8. Scott, J. H. (2012). Introduction to Wildfire Behaviour Modeling. National Interagency Fules, Fire, &Vegetation Technology

TrWild Fire Managment RD&A: 7-15.

9. Viegas, D. (1993). "Fire Behaviour and Fireline Safety."

10. Finney, M. A. (2004). FARSITE:Fire Area SimulaterUSDA: research parer RMRS-RP-4 Revised.

454-457

94.

Authors: Alien Akmalia

Paper Title: Does the Quality of Good Corporate Governance Provide Economic Value for Investors? Evidence

from Indonesia

Abstract: This study aims to examine the impact of Good Corporate Governance (GCG) on corporate value 458-462

by using financial performance proxied by Return on Assets (ROA) and Return on Equity (ROE) as intervening

variables. The samples used in this study were Non-financial companies participating in the Corporate

Governance Perception Index (CGPI) listed on the Stock Exchange during the period 2012 to 2016. The

sampling technique used in this study was purposive sampling technique.The tests that will be carried out are

Analysis of Multiple Linear Regression and Hypothesis Test (partial and simultaneous test) using the Eviews

program. The test results show that the variable Good Corporate Governance (GCG) has a significant positive effect on Return on Assets (ROA), the Return on Assets (ROA) variable has a significant positive effect on

influencing the value of the company. ROA variables are proven to interfere with the influence of Good

Corporate Governance (GCG) on company value. While the ROE variable is not proven to mediate the influence

of GCG on the value of the company. The direct influence of Good Corporate Governance on company value is

also not empirically proven. GCG variables have no effect on ROE. Likewise the ROE variable does not have an

influence on the value of the company.

Keyword: Good Corporate Governance, Firm Value, ROA, ROE References: 1. Kaihatu, T. S. 2006. Good Corporate Governance danPenerapannya di Indonesia. JurnalManajemendanKewirausahaan, Vol. 8, No.1 :

1-9, Maret.

2. Taufik, E. W. (2006), Analisis Pengaruh Mekanisme Good Corporate Governance Terhadap Nilai Perusahaan. Jurnal Ilmu dan riset

Manajemen. Vol. 5. No.2.

3. Aldridge, John. E, danSiswantoSutojo. 2008. Good Corporate Governance. Jakarta: PT. DamarMuliaPustaka

4. AndriRachmawatidanHanungTriatmoko. 2007. “AnalisisFaktor-Faktor yang MempengaruhiKualitasLabadanNilai Perusahaan”.

SimposiumNasionalAkuntansi X Makassar, 26-28 Juli.

5. Khumairoh, N. D., Sembarakreshna, Y., & Kompyurini, N (2014), Pengaruh Kualitas Good Corporate Governance terhadap nilai

perusahaan dengan Kinerja Keuangan sebagai Variabel Intervening, Jaffa Vol. 02 No.1, 51-60.

6. Wibowo, S, yokhebed, & Tampubolon. L., (2016). Pengaruh CSR Disclosure dan GCG terhadapnilai perusahaan dengan kinerja

keuangan sebagai variabel intrvening di Perusahaan Manufaktur yang terdaftar di Bursa Efek Indonesia (2012-2014). Unisbank,

Semarang.

7. RatihSuklimah (2011), “Pengaruh GCG terhadapNilai Perusahaan denganKinerja

Keuangansebagaivariabel intervening padaperusahaanperaih The Indonesia Most Trusted Company – CGPI”, JurnalKewiraushaan,

vol.5 no.2, Desember 2011

8. Ken Zuraedah, Isnaeni. 2010. PengaruhKinerja Perusahaan TerhadapNilai Perusahaan DenganPengungkapan Corporate Social

Responsibility 128 sebagaiVariabelPemoderasi. JurbalPenelitian. Universitas Pembangunan Nasional Veteran Jakarta.

9. Rahayu Sri (2010). Pengaruhkinerjakeuanganterhadapnilaiperusahaandenganpengungkapan corporate social responsibility dan good

corporate governance sebagaivariabelpemoderasi, UniversitasDiponegoro, Semarang.

10. Mulyani, EniLuhDkk. 2014, PengaruhKinerjaKeuanganTerhadapNilaiPerusahanDenganPengungkapan Corporate Social

Responsibility Dang Good Corporate Governance SebagaiVariabelPemoderasi , E-Journal S1 Ak, UniversitasPendidikanGanesha,

2014

11. Ayu. 2016. Faktor – Faktor Yang MempengaruhiLuasPengungkapanTanggungjawabSosial Perusahaan. JurnalEkonomidanBisnis.

2016. UniversitasMuhammadiyah Surakarta.

12. LismasariKusumaningrum, Ayudkk. (2016), Pengaruh Return On Equity TerhadapNi;Ai Perusahaan

DenganKepemilikanManajerialSebagaiVariabel Moderating (StudiEmpirisPada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek

Indonesia) FakultasEkonomidanBisnisUniversitasJember, Jember.

13. Martikarini, Nani, 2014, PengaruhProfitabilitas, KebijakanHutang, danDividenterhadapNilai Perusahaan Manufaktur yang Terdaftar di

Bursa Efek Indonesia Periode 2009-2011, Artikel, FakultasEkonomiJurusanAkuntansiUniversitasGunadarma.

14. Mckinsey and Company. 2002. Praktik Good Corporate Governance di Tujuh Negara Asia.

15. Gwenda, Z., &Juniarti. (2013). PengaruhPenerapanGood Corporate Governance (GCG) padaVariabelShare Ownership, Debt Ratio,

danSektorIndustriTerhadapNilai Perusahaan. Business Accounting Review, Vol. 1.

16. Newell, R., dan Wilson, G. 2002. A premium for good governance. The MCKinseyQuartely 3, 20-23.

17. Sayidah, Nur. 2007. PengaruhKualitasCorporate Governance TerhadapKinerja Perusahaan Publik. JAAI, Vol. 11 No. 1. Hal. 1-19.

18. Sakai, H. and H. Asaoka (2003), “The Japanese Corporate Governance System and Firm Performance: Toward Sustainable Growth , ”

ESRI International Forum Paper.

19. Ni LuhPutuRassriGayatridan I KetutMustanda. 2014. PengaruhStruktur Modal,

KebijakanDividendanKeputusanInvestasiTerhadapNilai Perusahaan. E-JurnalManajemenUniversitasUdayana, Vol. 3 No. 6, 1700-

1718.

95.

Authors: Annie Jamwal, Pragya Khanna

Paper Title: Role of Social Media In Reducing Culture Shock: A Research of Interstate Migrants in Jammu

Abstract: In the era of globalisation, migration has become a common phenomenon in India. The interplay

between push and pull factors play an important role in both internal and external migration. However, it is

pertinent to mention that when individuals migrate it is not only the migration of a physical being but the

migration of cultures as well. These migrating cultures undergo various changes in their forms as the result of

culture contact. This may be in form of assimilation or acculturation. But at the same time one of the major impacts on the migrating individual can be seen in form of culture shock which is generally a feeling of

disorientation experienced by the migrating individual who is subjected to unfamiliar culture. Here comes the

role of various institutions and mediums that facilitate the process of cultural adaptation. The growth of social

media has helped in bridging the gap between distinct societies by connecting like-minded individuals. It helps

to gain a prior knowledge regarding the customs, traditions, beliefs of host cultures along with maintaining

strong ties with the families and friends which reduces the threshold of migration. This paper attempts to analyse

the role of social media in reducing culture shock while studying interstate migrants in Jammu, J&K by opting

in-depth interviews using qualitative method. Depending upon the analysis, discussions are stated that social

media plays an important role in facilitating intercultural adjustments.

463-466

Keyword: Culture, Cultural adaptation, Culture shock, Interstate migrants and Social media. References: 1. Church, A. T. (1982). Sojourner Adjustment. Psychological Bulletin, 91, 540. https://doi.org/10.1037/0033-2909.91.3.540 [Paper

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96.

Authors: Aws Zuhair Sameen, Rosmina Jaafar, Mohammed Hasan Alwan

Paper Title: ARX System Identification in Biomedical Applications

Abstract: System identification approach is a data driven establishing mathematical model of the system

that has been widely applied to the astronomy, automatic control, spaceflight, aviation, economics as well as

marine ecology and society. At present, system identification has been widely used in the field of biomedical

engineering. The status of system identification technique becomes increasingly important with the rapid

development of science and technology in various disciplines. This paper is firstly introduced both linear and

nonlinear system identification, then briefly explained the Autoregressive Exogenous (ARX) approach, and

finally the applications based on ARX system identification in the biomedical engineering field have been

presented. Keyword: System Identification, Autoregressive Exogenous (ARX), Biomedical Engineering, Healthcare,

Biomedical Applications References: 1. L. Fu, and P. Li, “The Research Survey of System Identification Method,” 5th IEEE International Conference on Intelligent Human-

Machine Systems and Cybernetics, 2013.

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467-470

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97.

Authors: Donny Maha Putra, Moermahadi Soerja Djanegara, Sri Mulyani, Sudarto, Citra Sukmadilaga

Paper Title: Does Integrated Information Systems have an Impact on Implementation of Accrual Basis

Accounting and Fiscal Transparency?

Abstract: The Implementation of accrual basis as a public policy must be supported by information

technology and systems that are integrated. This study discusses the increasing use of integrated information

systems on the implementation of accrual basis and improving the quality of government financial transparency. The research data were collected using questionnaire instruments, face-to-face interviews and discussion group

activities through surveys conducted at 85 Line Ministries in Indonesia. The research data was analysed using

CB-SEM with the help of Lisrel 8.8 statistical software. The research findings prove that information systems

are integrated significantly towards the implementation of the accrual basis and improving the quality of

government approval.

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2. Azmi, A. H. and Mohamed, N. (2014), “Readiness of Malaysian Public Sector Employees in Moving towards Accrual Accounting for

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institutional context. Accounting, Organizations and Society, 42, 12-31.

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Fiscal Affairs Department.

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In Kenya. Nairobi: University of Nairobi.

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98.

Authors: Marwan Al Qur’an

Paper Title: Enhancing the Credibility of Qualitative Method in Strategic Management Research

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and exam. moreover, the paper talks approximately splendid problems identified with subjective studies

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management.

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99.

Authors: Antoine Matemane Mahirwe, Wei Long

Paper Title: Can Proximity with Resource-Endowed Economies Influence FDI Inflow? the Case of Rwanda

Abstract: The purpose of this study was to investigate if a country with limited natural resources can benefit

from its geographic location due to the presence of countries in its neighborhood which are rich in natural resources.

This study asserted that to benefit from other countries factors endowments, a country has to focus on enhancing

other factors which are poorly achieved in neighboring countries. This study found that by focusing on improving

investment and regulatory environment, Rwanda has tremendously benefited from its proximity with countries rich

in natural resources but with low performance in terms of regulations and investment climate. The Johansen test

reveals that in the long run, proximity exerts a positive influence on FDI inflow. However, as revealed by VECM test,

in the short run the country may not benefit as it requires time to develop its investment and regulatory institutions.

Keyword: Natural resources, FDI, Proximity. References: 1. NISR, Statistical Yearbook 2017, 2017, National Institute of Statistics of Rwanda.

2. Bank, W., Doing Business 2017: Equal Opportunity for All, 2017: Washington DC.

3. World Bank Group, Doing Business 2018, 2018: Washington DC 20433.

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100.

Authors: Dolly Reney, Neeta Tripathi

Paper Title: Improving User Identification Accuracy in Facial and Voice Based Mood Analytics using Fused

Feature Extraction

Abstract: User identification involves a lot of complex procedures including image processing, voice

processing, biometric data processing and other user specific parameters. This can be applied to various fields

including but not limited to smartphone authentication, bank transactions, location based identity access and

various others areas. In this work, we present a novel approach for uniquely identifying users based on their

facial and voice data. Our approach uses an intelligent and adaptive combination of facial geometry and mel

frequency analysis (via Mel Frequency Cepstral Co-efficient or MFCC) of user voice data, in order to generate a

mood based personality profile which is almost unique for each user. Combination of these features is given to a machine learning based classifier, which has proven to produce more than 90% accuracy with a false positive

rate of less than 7%. We have also compared the proposed approach with various other standard

implementations and observed that our implementation produces better results than most of them under real time

conditions.

Keyword: Identification, authentication, facial, geometry, MFCC, machine learning References: 1. D. Pullella, R. Togneri, "Speaker identification using higher order spectra," Dissertation of Bachelor of Electrical and Electronic

Engineering, 2006.

2. R. Jaksa, M. Katrák, "Neural network model of the backpropagation algorithm," I-st. Slovak-Japanese seminar on intelligent systems,

Herl'any. 2005.

3. U. Shrawankar, V. M. Thakare, "Techniques for feature extraction in speech recognition system: A comparative study", arXiv preprint

arXiv:1305.1145, May 2013.

4. Li Q, Huang Y., "Robust speaker identification using an auditory-based feature", In IEEE In. Conf. on Acoustics, Speech and Signal

Processing, March 2010,pp. 4514-4517.

5. D. Reney, N. Tripathi, "Human face and expression recognition with kernel fisher analysis", IJEAST, Vol. 1, Issue 6, pp. 152-156,

2016.

6. P. Viola, M. J. Jones, "Robust real-time face detection", International journal of computer vision, vol. 57, pp. 137-154, May 2004.

7. S. A. Khayam, "The discrete cosine transform (DCT): theory and Coding, Michigan State University, pp. 602-802, March 2003.

Available: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.184.6102&rep=rep1&type=pdf

8. R. D. Peacocke, D. H. Graf, "An introduction to speech and speaker recognition", In Readings in Human–Computer Interaction, pp.

546-553, Jan 1995.

9. K. Gibert, I. Pinyol, L. Oliva, et al, "Pseudobagging: Improving class discovery by adapting bagging techniques to clustering

algorithms", Proceedings ‘V Taller Nacional de Minería de Datos y Aprendizaje’in: Ferrer-Troyano, FJ, pp.157-166.

10. S. Gaikwad, B. Gawali, P. Yannawar, S. Mehrotra, "Feature extraction using fusion MFCC for continuous marathi speech recognition",

India Conference (INDICON), IEEE, pp. 1-5, Dec 16.

11. K. Daqrouq, T. A. Hilal, M. Sherif, S. El-Hajjar, A., Al-Qawasmi, "Speaker identification system using wavelet transform and neural

network", International Conference on Advances in Computational Tools for Engineering Applications, ACTEA, pp. 559-564, Jul 15.

12. S. Malik, F.A. Afsar, "Wavelet transform based automatic speaker recognition", Multi Topic, IEEE International Conference, pp. 1-4,

Dec 2009.

13. P. Motlıcek, "Feature extraction in speech coding and recognition", Technical Report of PhD research internship in ASP Group, OGI-

OHSU, Sep. 2002.

14. D. Reney, N.Tripathi, "An Efficient Method to Face and Emotion Detection", Fifth International Conference on Communication

Systems and Network Technologies, pp. 493-497, Apr 2015.

15. D. Avci, "An expert system for speaker identification using adaptive wavelet sure entropy", Expert Systems with Applications, vol. 36,

pp. 6295-6300, April 2009.

490-494

101.

Authors: Fauziyah, Winarso, Andimi Hana Syarifah

Paper Title: A Research of Technology Adoption in Small and Medium-sized Enterprises in Yogyakarta

Abstract: This study compares the impact of different size of SMEs and the age of SMEs on the technology

adoption. This survey was conducted on the use of IT in SMEs in Yogyakarta, Indonesia. As a developing

country, most of the Indonesian economy is dominated by SMEs. One factor that plays an important role in

increasing the competitiveness of SMEs is information technology (IT) adoption. However, not all SMEs have

similarities in their efforts to adopt IT. The theory underlying the process of adopting information technology is the Technology Acceptance Model (TAM). TAM have 3 main variables. There are Perceived Ease of Use,

Perceived usefulness and Acceptance of IT. In this study analyzed differences in IT adoption based on the age of

SMEs and the SME category (micro, small and medium). This study also examined differences based on

competitive advantage. The results show that there are no significant differences in IT acceptance based on the

age of SMEs and they have similarities in competitive advantage. The results of this study provide benefits for

SMEs to evaluate their adoption of technology. In addition, this research is also beneficial for the government to

495-498

develop SMEs in the region. Keywords: Adoption of IT, TAM, Competitive advantage, SMEs.

Keyword: Adoption of IT,Competitive advantage, SMEs, TAM References: 1. Davis, F.D., “Perceived usefulness, perceived ease of use and user acceptance of information Tecnology,” MIS Quarterly, vol 13; 3,

pp. 319-340, Sep. 1989

2. Davis, F.D., Bagozzi, R.P., Warshaw, P.R., “User acceptance of computer technology: a comparison of two theoritical Models,”

Management Science, vol. 35, 8, pp.982-1003, Aug 1989

3. Nugroho, M.A., Susilo, A.Z., Fajar, M.A., Rahmawati, D., “Exploratory Study of SMEs Technology Adoption Readiness

4. Factors,” Procedia Computer Science, 124, pp. 329–336, 2017

5. Oktavia, P. N., “AnalisisDampak Servant Leadership terhadap Competitive Advantage”, Business Accounting Review, vol.2(2), pp.

244-251, 2014

6. Ongori, H., Migiro, S.O., “Understanding the drivers of information and communication technologies (ICTs) adoption by Kenyansmall

and medium enterprises (SMEs),”International Journal of Management Research And Revie, vol. 1 issue 1, Aug. 2011

7. Pebruati.S.,Handayani S.R., “Pengaruhaplikasiteknologiinformasidalampeningkatandayasaingperusahaan” Jurnal Profit, vol.7 no. 1,

pp 62-75. 2012

8. Porter. M.E., Competitive advantage: creating and sustaining superior performance, (Revised edition), The Free Press, 2004.

9. Ramdani, B., Kawalek, P., “SMEs & IS innovations adoption: A review & assessment of previous research,” Academia, Revista

Latinoamericana de Administración, 39, pp. 47-70, 2007

10. Sharma M.K. &Bhagwat.R. “Practice of information systems, an evidence from select Indian SMEs,” Journal of Manufacturing

Technology, vol.17 (2), pp. 199-223, 2006

11. Natalia, T., “AnalisaPenerimaanPenerapanTeknik Audit BerbantuanKomputer (TABK) denganMenggunakan Technology Acceptance

Model (TAM) padaBadanPemeriksaKeuangan (BPK) RI,” JurnalAkuntansi&Keuangan, vol. 6, No. 1, pp. 10-28, May 2004

12. Tarute, A., Gatautis, R., “ICT impact on SMEs performance,” Procedia - Social and Behavioral Sciences 110, pp. 1218 – 1225, 2014.

102.

Authors: Lela Hindasah, Edi Supriyono

Paper Title: Good Corporate Governance Islamic Social Responsibility, and Firm Performance

Abstract: This study aims to examine the role of Good Corporate Governance toward financial performance

and Islamic Social Responsibility disclosure. The financial performance was measured by Return on Asset

(ROA), Return on Equity (ROE), Asset growth, Operating Expenses, and Non-Performing Finance (NPF). Furthermore, this study was carried out by Sharia Bank in Indonesia on 2011-2017. Testing the hypothesis in

this study used simple regression. The results of the study show that Good Corporate Governance has a positive

effect on financial performance as measured by Return on Assets (ROA), Return on Equity (ROE), Asset

growth. On the contrary, Good Corporate Governance has a negative impact on operating expenses and Non-

Performing Finance (NPF). At the same time, the effect of Good Corporate Governance toward Islamic Social

Responsibility disclosure (ISR) is not significant.

Keyword: Islamic Social Responsibility, Good Corporate Governance, Financial Performance References: 1. Abdulllah. T dan Billy A.N, 2011, Determinankualitasimplementasi corporate governance padaperusahaan yang terdaftar di Bursa Efek

Indonesia (BEI) periode 2004-2008, JurnalPendidikanAkuntansi Indonesia Vol IX No 1 Tahun 2011, hlm 1-23

2. Ajili, H., A. Bouri, “Corporate governance quality of Islamic bank: measurement and effect on financial performance,” Interna tional

journal of Islamic and middle eastern finance and management, vol. 11 no.3, 2018, pp 591-607

3. Almutairi A. R. and M. A. Quttainah, “Corporate Governance: evidence from Islamic Banks” Social Responsibility Journal, vol 13.

No.3, pp 601-624, 2017

4. Al-Tamimi, H. A. H., “The effect of corporate governance on performance and financial distress,” Journal of financial regulation and

compliance, vol 20 no 2, pp 169-181, 2012

5. Bachiller P. and J.G. Lacalle, Corporate governance in Spanish saving banks and its relationship with financial and social

performance’, Management decision vol 56 no. 4, pp 828-848, 2018

6. Black, B., H. Jang, W. Kim, 2002, Does Corporate Governance Affect Firm Value? Evidence from Korea, Stanford Law School,

Working Paper, November, 2002

7. Buallay A., “Corporate governance, sharia’ah governance and performance,”international Journal of Islamic and Middle Eastern

Finance and Management Vol 12 No. 2, pp 216-235, 2019

8. Choudhury, M. A. and Alam, M.N, “Corporate governance in Islamic perspective,” International Journal of Islamic and Managemen t,

vol. 6 no. 3 pp. 180-199, 2013

9. Hamdani, Good Corporate Governance, Mitrawacana Media, Tangerang, Indonesia, 2016

10. Haniffa a, T.E. Cooke b, (2005), The impact of culture and governance on corporate social reporting, Journal of Accounting and Public

Policy 24 (2005) 391–430

11. Jensen M. and W. Meckling, “Theory of the firm, managerial behavior, agency costs and ownership structure”, Journal of Financ ial

Economics, vol.3 no. 4 pp.305-360, 1976

12. Grassa, R and H Matoussi, “Corporate governance of Islamic bank”, Acomparative study between GCG and Southeast Asia

countries,”International journal of Islamic and middle Eastern Finance and management, vol 7 no 3, pp 346-362, 2014

13. Haniffa, Ri, Hudaib, M, (2007), Exploring the Ethical Identity of Islamic Bank via Communication in annual Reports, Journal of

Business ethics 76:97–116

14. Khoirudin,A (2013), Corporate Governance danPengungkapan Islamic Social Reporting PadaPerbankanSyariah di Indonesia,

Accounting Analysis Journal, AAJ 2 (2), http://journal.unnes.ac.id /sju/index.php/aaj

15. Klapper, L.F. dan I Love., 2003, Corporate Governance, Investor protection and Performance in Emerging Markets. Working Paper-

The World Bank

16. Mosaid, F.E ., Boutti, R (2012), Relationship between Corporate Social Responsibility and Financial Performance in Islamic Banking

Research Journal of Finance and Accounting, Vol 3, No 10, p 2222-2847

17. Yusuf MY, (2017), Islamic Corporate Social Responsibility, Kencana, Indonesia

18. Mardnly, Z., S. Mouselli, R. Abdulraouf, “Corporate governance and firm performance: an empirical evidence from Syria,”

International journal of Islam, vol 11 n0. 4 2018

19. Narval K. P and S Pathneja,”Effect of bank specific and governance –specific variabeles on the productivity and profitability of bank”,

International journal of Productivity and performance management vol.66 no. 8, pp 1057-1074, 2016

20. Nyamongo, E.M and K Temesgen,”The effect of governance on performance of commercial banks ini Kenya: a panel study, corporate

499-504

governance, vol. 13, no.3 pp 236-248, 2013

21. Othman, R., Thani A.M., (2010), Islamic Social Reporting Of Listed Companies In Malaysia, International Business & Economics

Research Journal – April Volume 9, Number 4

22. Othman, R.A., Thani, Md., Ghani, E.K (2009), Determinants of Islamic Social Reporting Among Top Shariah-Approved Companies

in Bursa Malaysia, Research Journal of Internatıonal Studıes - Issue 12, 4-20

23. Stuebs, M. and Li Sun, “Corporate governance and social responsibility;” International journal of law and management, vol 57 no 1, pp

38-52, 2015

24. Saeed A., A. Y. Javed and U Noreen,”Microfinancing, govenance, and performance: asouth Asian perspective”, Journal of Economic

and Administrative Science, vol. 23 no. 46 pp 247-265, 2018.

103.

Authors: Lim Fung Ching, Rasika Lawrence, Haslinda Abdullah

Paper Title: Student-Centred Learning in Selected Private Higher Education Institution

Abstract: The teaching and learning system are currently witnessing a tremendous shift from personal-ised

learning to student-centred learning that provide the learners with more autonomous and self-directed learning

experience which are very much required by today’s digital driven workforce. The aim of this paper is to discuss

the advantages and disadvantages of student-centred learning approaches in teaching-learning in Malaysia

education industry. Lectures in a selected organisation are chosen for data collection purposes. Data was

collected through interviews, observations and focus group discussions which is analysed using content and

analytic induction analysis. Data are sorted and categorised into themes to theorize the ad-vantages and

disadvantages of student-centred learning in Malaysia Private Higher Learning Education. The findings of this

study found that the approach creates a platform or an oppor-tunity to the learners to be more independent

mainly in decision making process that encour-ages a learner to be more responsible. Besides, the approach also

contributes in a high level of involvement and engagement amongst the students in the learning process that

encourages a strong teamwork among students. In addition, the approach also tends to develop both soft and

technical skills that lies within the learners which is an important element in today’s fast-growing business environment. However, some teachers still prefer the teacher-centred ap-proach which is often criticized to be

ineffective in the whole teaching-learning process as it limits a learner’s higher cognitive skills. Thus, managing

all students at once becomes even more difficult. This study provides insights of the advantages and

disadvantages of student-centred learning to the Ministry of Higher Education in Malaysia and to the academics

so that strategies in maximising the advantages and strategies in overcoming the disadvantages of student-

centred learning can be developed.

Keyword: Student Centred Learning, Malaysia Private Higher Education References: 1. Abdullah, H (2019). Research Methods and Report Writing UPNM Press

2. Abdelmalak, M., and Trespalacios., J. (2013). Using A Learner-Centred Approach to Develop An Educational Technology Course.

3. Ahmed., AK. (2013). Teacher-Centred Versus Learner-Centred Teaching Style.

4. Aksit, F., Niemi., and Nevgi, A. (2016). Why Is Active Learning So Difficult to Implement?The Turkish Case.

5. Attard, A., Loio, ED., Geven, K., and Santa, R. (2010). Student Centred Learning An Insight Into Theory And Practice Retrieved from

http://www.ehea.info

6. Attard, A., Loio, ED., Geven, K., and Santa, R. (2010). Student Centred Learning an Insight Into Theory And Practice.

7. Basu, S. J., & Barton, A. C. (2010). A Researcher-Student-Teacher Model for Democratic Science Pedagogy: Connections to

Community, Shared Authority, And Critical Science Agency.

8. Bell, L., and Baker, SL. (2019). Student-Centred Learning: A Small-Scale Study of A Peer-Learning Experience In Undergraduate

Translation Classes.

9. Billing, D. (2003). Generic Cognitive Abilities in Higher Education: An International Analysis Of Skills Sought By Stakeholders.

10. Emaliana., I. (2017). Teacher-Centred or Student-Centred Learning Approach to Promote Learning.

11. Faridi, A., Bahri, S., and Nurmasitah, S. (2016). The Problems of Applying Student Centred Syllabus Of English In Vocational High

Schools In Kendal Regency.

12. Froyd, J., and Simpson, N. (2008). Student-Centred Learning Addressing Faculty Questions About Student Centred Learning.

13. Gibbs, G. (1995). Assessing Student Centred Courses. Oxford: Oxford Centre for Staff Learning and Development.

14. Gillies., MR. (2016). Cooperative Learning: Review of Research view of Research and Prac-tice and Practice.

15. Gutstein, E. (2007). “An That’s Just How It Starts”: Teaching Mathematics and Developing Student Agency.

16. Hayirsever., F.and Jacob, DB. (2016). Student-centred Learning: How Does It Work in Prac-tice.

17. Jagtap,. P. (2015). Teachers Role As Facilitator In Learning.

18. Katz, J. (2001). Analytic Induction.

19. Kaput., K. (2018). Evidence for Student-Centred Learning. Retrieved from https://files.eric.ed.gov/fulltext/ED581111.pdf

20. Kazempour, M. (2009). Impact of Inquiry-Based Professional Development on Core Concep-tions And Teaching Practices.

21. Keiler., LS. (2018). Teachers’ Roles and Identities In Student-Centred Classrooms. Interna-tional Journal of STEM Education.

22. Lak, M., Soleimani, H., and Parvaneh, F. (2017). The Effect of Teacher-Centeredness Method Vs. Learner-Centeredness Method on

Reading Comprehension Among Iranian EFL Learners.

23. Larasati, F., (2018). Student Centred Learning: An Approach to Develop Speaking Skill in EFL Classroom.

24. Liu,. R, Qiao,. X, Liu., Y. (2006). A Paradigm Shift of Learner-Centred Teaching Style: Reality or Illusion?

25. Mart, C.T. (2013). A Passionate Teacher: Teacher Commitment and Dedication to Student Learning.

26. Moustafa, A., Assaraf, OBZ., and Eshach, H. (2012). Do junior high school students perceive their learning environment as

constructivist?

27. Muianga, X., Klomsri, T., Tedre, M., and Mutimucuio, I. (2018). From Teacher-Oriented to Student-Centred Learning: Developing An

ICT-Supported Learning Approach at The Eduardo Mondlane University, Mozambique.

28. Oinam., S. (2017). Student- Centred Approach to Teaching and Learning in HigherEducation for Quality Enhancement.

29. O’Neill., G. and McMahon, T., (2005). Student–Centred Learning: What Does It Mean for Students and Lecturers.

30. Postholm, MB., (2013). Classroom Management: What does research tell us?

31. Qhobela, M. (2012). Using Argumentation as A Strategy of Promoting Talking Science in A Physics Classroom: What Are Some of

The Challenges?

32. Qutoshi, SB., and Poudel, T. (2014). Student centred approach to teaching: What does it mean for the stakeholders of a community

school in Karachi, Pakistan?

33. Serin, H,. (2018). A Comparison of Teacher-Centred and Student-Centred Approaches in Educational Settings.

505-510

34. Shaaban, S,.(2018). Reporting the Impact of Student-Centred Learning (SCL): Interactive Learning Experience Based on Small-Scale

Study In Undergraduate Business Classes.

35. Shor, I. (1996). When Students Have Power: Negotiating Authority in A Critical Pedagogy. Chicago, IL: University of Chicago Press.

Sutphin, C. (1992).

36. Simon, B. (1999). Why No Pedagogy in England? In J. Leach and B. Moon (Eds.), Learners And Pedagogy. London: Sage

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37. Trinidad., JS. (2019). Technology’s Roles in Student-Centred Learning in Higher Education.

38. Tsui., L. (2002). Fostering Critical Thinking through Effective Pedagogy.

39. Veerasamy, C,. Maniam, V. and Khan., B. (2017). Student Centred Learning (SCL): New Learning Approach in Malaysian Tertiary

Education System.

40. Walsh, J. and Vandiver, D. (2007). Fostering Student Centred Learning (SCL) Through the Use of Active Learning Exercises in

Undergraduate Research Methods Courses.

41. Wats,.M. and Wats,. RK. (2009). Developing Soft Skills in Students.

42. Young., J and Chapman,. E. (2010). Generic Competency Frameworks: A Brief History Overview.

43. Yukhymenko, M. A., Brown, S. W., Lawless, K. A., Brodowinska, K., & Mullin, G. (2014). Thematic Analysis of Teacher

Instructional Practices And Student Responses In Middle School Classrooms With Problem-Based Learning Environment.

44. Yusoff, N, M., Karim, A,M,K., and Othman, R,. Rahman,S,A,A,.(2013). Student-Centred Learning (SCL) In the Malaysian Higher

Education Institutions.

45. Zabit., MNM. (2010). Problem-Based Learning on Students‟ Critical Thinking Skills In Teaching Business Education In Malaysia.

46. Zohrabi., M. Torabi., MA. and Baybourdiani., P. (2012). Teacher-Centred and/or Student-Centred Learning: English Language in Iran.

104.

Authors: Rasika Lawrence, Lim Fung Ching, Haslinda Abdullah

Paper Title: Strengths and Weaknesses of Education 4.0 in the Higher Education Institution

Abstract: The Malaysian Higher Education has implemented an education 4.0 program in line with the 4th

industrial revolution. The education 4.0 program is aimed at providing graduates with the capabilities and

competencies required by the digital-driven industry. The purpose of this paper is to discuss the strengths and

weaknesses of education 4.0 in Malaysia education industry. Lectures in a selected organisation are chosen for

data collection purposes. Data was collected through interviews and. Data obtained through interviews and

focus group discussions session is analysed using content and analytic induction analysis. Data are sorted and

categorised into themes to theorized the strengths and weaknesses of Education 4.0 in Malaysia. The findings of

this study found that education 4.0 creates an opportunity for educators to engage in new technology tools and it enhances the knowledge of the educators on technology more in depth. It also helps lecturers and students to

enhance their knowledge & usage of technology in depth. In addition, it promotes the development of

technology classroom into the 21st century skills. However, there is high resistance to change in adapting and

shift the mind set of lecturers towards adopting technology-based education as it can limit the engagement or

involvement of an educator with the students. Technology is also found to be disconnecting learners from the

real world. This study provides insights of the strengths and weaknesses of education 4.0 to the Ministry of

Higher Education Malaysia and to the academics so that strategies in maximising the strengths and strategies in

overcoming the weaknesses of education 4.0 can be developed.

Keyword: Education 4.0, Technology-based, Malaysia References: 1. Abdullah, H (2019). Research Methods and Report Writing. Kuala Lumpur, Malaysia: UPNM Press

2. Abraham, O., & Reginald, A. (2016). E-Education: Changing the Mindsets Of Resistant And

3. Saboteur Teachers. Journal of Education And Practice. Vol.7, No.16, ISSN 2222-1735.

4. Ahmadi, MR. (2018). The Use Of Technology in English language learning: A Literature Review. International Journal of Research in

English Education (2018) 3:2

5. Boyles, B. (2017). Virtual Reality And Augmented Reality In Education. Centre For Teaching Excellence, United States Military

Academy, West Point, NY.

6. Burroughs, A. (2017). Q&A: Education Technology Expert On Teaching the Next Generation of Teachers. Milwaukee Avenue,

Vernon Hills, IL 60061. https://edtechmagazine.com/higher/article/2017/02/qa-education-technology-expert-teaching-next-generation-

teachers

7. Diwan, P. (2017). Is Education 4.0 An Imperative for Success Of 4th Industrial Revolution?

8. Eady, MJ., & Lockyer, L. (2013). Tools For Learning: Technology And Teaching Strategies. Learning to Teach in the Primary School,

Queensland University of Technology, Australia. pp. 71 - http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1413&context=asdpapers

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Turkish Online Journal of Educational Technology. Volume 17 issue 2.

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Development In Malaysian Schools Within The Context Of Asia Pacific. Ijet. Volume 10, Issue 4.

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13. Gonsiewski, MA. (2014). Resistance To Change: Teacher Variables That May Influence Acceptance Of Curriculum based

Measurement. Unpublished Masters Thesis From Appalachian State University and Department of Psychology.

14. Halili, ST (2019). Technological Advancements in Education 4.0. The Online Journal of Distance Education And E-Learning. Volume

7, Issue 1

15. Hariharasudan, A., & Kot, S. (2018). A Scoping Review on Digital English And Education 4.0 For Industry 4.0. Social Science. Vol, 7,

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17. Hussin., AA (2018). Education 4.0 Made Simple: Ideas for Teaching. International Journal of Education & Literacy Studies.

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Melbourne, Australia: Cambridge University Press

19. Johnson, AM., Jacovina, ME., Rusell, DG., & Soto, CM. (2016). Challenges and solutions when using technologies in the classroom.

Adaptive Educational Technologies for Literacy Instruction.

20. Kushlev., K. Dunn., E. and Proulx., J.D.E. (2017). Digitally Connected, Socially Disconnected: The Effects of Relying on Technology

Rather Than Other People

21. Lee, JH., & Shvetsova, OA. (2019). The Impact Of VR Application On Student’s Competency Development: A Comparative Study Of

511-519

Regular And VR Engineering Classes With Similar Competency Scopes. Sustainability. Volume, 11, 2221.

22. Male, T. (2016). Digital technologies: Implications For Educational Organisations And Settings In The Twenty-First Century.

Educational Futures. Vol.7(3).

23. Maria, M., Shahbodin, F., & P, NC. (2018). Malaysian Higher Education System Towards Industry 4.0 – Current Trends Overview.

International Conference on Applied Science and Technology. Issue 1 10.1063/1.5055483.

24. Marshal, JM. (2002). Learning with Technology. Evidence That Technology Can And Does Support Learning.

25. Ministry of Higher Education. (2018). Framing Malaysian Higher Education 4.0: Future Proof Talents.

Department of Higher Education Malaysia. https://umcms.um.edu.my/sites/adec/pdf/Framing_malaysian_HE4.0.pdf

26. Ministry of Education Malaysia. (2019). Massive Open Online Courses (MOOCS).

27. Ministry of Education Malaysia (2017). https://www.moe.gov.my/en/muat-turun/penerbitan-dan-jurnal/2u2i

28. Nagler, KS. (2016). Effective Classroom-Management & Positive Teaching. English Language Teaching; Vol. 9, No. 1. ISSN 1916-

4742

29. Rind, IA., Mari, MA., & Shahreza, MAH. (2019). Analysing The Impact Of External Examination On Teaching And Learning Of

English At The Secondary Level Education. Journal Cogent Education. Volume, 6, Issue 1.

30. Rusdin, NM. (2018). Teachers’ Readiness in Implementing 21st Century Learning. International Journal of Academ ic Research in

Business and Social Sciences, 8(4), 1293–1306.

31. Sandholtz, JH., & Reilly, B. (2004). Teachers, Not Technicians: Rethinking Technical Expectations for Teachers. Volume 106,

Number 3, March 2004, pp. 487-512

32. Sani, R. (2018). Embracing Industry 4.0.

33. Shahroom, AA., & Hussin, N. (2018). Industrial Revolution 4.0 And Education. International Journal Of Academic Research In

Business And Social Sciences, 8(9), 314–319.

34. Themes, A. (2019). Future Ready Education: The Landscape of Education 4.0.

35. Wikramanayake, G. (2005). Impact of Digital Technology on Education. Unpublished Thesis From University of Colombo School of

Computing..

105.

Authors: Suhil Shavali, Sophiya Shaheen, Bibi Hajira, Syeda Ghousiya Rameez, Ume Salma S, Srikanth T N,

Azeem Ali

Paper Title: An Explicit Research on LENSCAM

Abstract: The world of internet today has become a parallel form of life and living. Public are now capable

of doing things which were not imaginable few years ago. Internet as enabled the use of website communication,

email and a lot of anytime, anywhere IT solutions for the betterment of humankind.

We pursue life style innovation. The very first product of us “LENSCAM” is the tool that innovate human

experiences about photo shooting. We want to help people to collect authentic moments with “LENSCAM” that

never let the moment pass in life and contribute human life wealth. We find FUN in life, develop it by small essence of TECH and realize in the society with ART .The principle of our business is the conjoined three

elements, FUN, ART and TECH. We believe Tech is something contributes to human life but tech itself never

be realized. It should be found from FUN stuff. And any products or services should be aesthetically valuable to

customers and the society.

Keyword: Area-efficient, Low power, CSLA, Binary to excess one converter, Multiplexer References: 1. N. Ardley, 101 great science experiments. DK publishings,2006

2. S. Ray, the Photographic lens. Focal press, oxford, 1992.

3. H. Gernsheim, a concise history of photography. DOVER publications, 1986.

4. J.petterchak, photography genius: GEORGE R LAWRENCE and “the hitherto impossible”. Journal of the Illinois state historical

society, summer 2002.

520-522

106.

Authors: O.Aljaloudi, I. Al-Hinti

Paper Title: Utilization of Waste Heat Recovery in Jordan Cement Factories

Abstract: This research aims to investigate the potential of using the exhaust gases generated through the

cement industry, to reduce the electricity consumption rate of the grid in the cement factory using a suggested

design of thermodynamic cycle, which will lead to an improvement of the overall energy efficiency in the plant.

Results showed that simple Rankine cycle came up to have the highest efficiency which is equal to 21 % and the

most suitable cycle to cement factories with production capacity equal to 3500 ton/day of clinker or more where

the temperature range of the cooler exhaust gases is (300-420) ˚C.

Keyword: improvement production exhaust gases is (300-420) ˚C. References: 1. PO. M. AL-RABGH, M. BEmUTTV, M. AKVURT, Y. NAJJAR and T. ALP, “RECOVERY AND UTILIZATION OF WASTE

HEAT,” Heat Recovery Systems & CHP, vol. Vol. 13, pp. 463-470, 1992.

2. M. Sathiyamoorthy and M. Biglari, “A CASE STUDY: THE WASTE HEAT RECOVERY AND UTILIZATION FOR POWER,”

International Journal of Advanced Research in GENERATION IN A CEMENT PLANT (PHASE-1), pp. 1-26, 2016 .

3. “The Ministry of Energy and Mineral Resources,” 7 7 2017. [Online]. Available: http://www.memr.gov.jo/Default.aspx.

4. D. Lombardi, L. Porter and A. Barber, “Conceptualising Sustainability in UK,” Urban studies, 2010.

523-525

107.

Authors: BonamSivakumar, KoppalaVenugopal, D. Vishnu Murty

Paper Title: Assessment of Public Discernment on Factors Influencing the Declined Gross Domestic Product of

India

Abstract: Gross Domestic Product of India being discouraging at present with declining trend, has paved

the way to find out the economic reasons through highly established literature, observations and common sense

applications should be perceived by public in line with which factor influences the most backed by rationality. 526-531

http://www.memr.gov.jo/Default.aspx

There have been certain factors such as improper execution of demonetisation policy, initial stoppage of money

flow through GST, decreased consumption of goods, unavailability of banking credits and loans, diminished

investments, discontinuous government overheads, declined exports and lowering Industrialisation have been

found imperative to influence on GDP. Having the objective to identify the knowledge and assess the perception

of the public on the factors, the study went through a method mix of descriptive research, quantitative approach

and cross sectional design with a standard questionnaire intended to get the responses from the different people from Srikakulam District of Andhra Pradesh. Multiple Regression Analysis was used to analyse the weightage of

each independent factor on the decline of GDP. Conclusion on the level of knowledge and perception on the

factors have been established.

Keyword: GDP, Economic Growth Factors, Srikakulam District, Public perception References:

1. Adenomon, M. and Oyejola, B. A, Impact of Agriculture and industrialization on GDP in Nigeria: Evidence from VAR and SVAR

Models, Munich Personal RePEc Archive, 9 September 2013.

2. Basu, Kauirik , "In India, Black Money Makes for Bad Policy". The New York Times. 27 November 2016.

3. Ben EtimUdoh , Emmanuel Samuel , AbnerIshaku Prince , Ike Ruby Nneka And TingirTerzungwe Joshua E (2018), Effect Of

Administrative Capital Expenditure On Economic Development: An Emerging Nation Outlook, Journal of Internet Banking and

Commerce An open access Internet journal (http://www.icommercecentral.com) Journal of Internet Banking and Commerce, April

2018, vol. 23, no. 1.

4. Charansingh, SubhashBharadwajPemmaraju and Rohan Das, Economic Growth and Banking Credit in India, IIMB- WP 531,

December 2016.

5. Dutta, Prabash K. "Demonetisation: What India gained, and lost". India Today. Retrieved 12 October 2018.

6. https://blog.saginfotech.com/gst-impact-on-gdp-india

7. Mohammad Rafiqul Islam, MohaiminulHaque. The Success of Export and Its Impact on GDP of Bangladesh. International Journal

of Investment Management and Financial Innovations. Vol. 4, No. 1, 2018, pp. 9-13.

8. MukherjiRonit, PandeyDivya. The Relationship between the Growth of Exports and Growth of Gross Domestic Product of India.

International Journal of Business and Economics Research. Vol. 3, No. 3, 2014, pp. 135-139. doi: 10.11648/j.ijber.20140303.13.

9. Robinson MO, Eravwoke KE, Ukavwe A Government expenditures and economic growth: The Nigerian experience.

Mediterranean Journal of Social Sciences, 2014, 5: 89-94.

10. Roy Choudhury, Arup (12 November 2016). "Demonetisation damage greater than its benefits, says KaushikBasu". Business

Standard. Retrieved 12 November 2016.

11. SantoshRanganath N. and VenuGopal K, (2013), “Growth Of Insurance Sector In India – The New Horizons” Columbia

International Publishing- Journal of Globalization and Business Management, 14 December 2013., Vol. 1 No. 2,

doi:10.7726/jgbm.2013.1005, pp. 72-82

12. SunaKorkmaz, Impact of Bank Credits on Economic Growth and Inflation, Journal of Applied Finance & Banking, vol. 5, no. 1,

2015, 57-69, Scienpress Ltd, 2015 .

13. Samson, AA. (2013) Government spending and economic growth in Nigeria. Munich Personal RePEc Archive (MPRA) 2: 1-23.

14. Venugopal K, Rajesh B, MulugetaNegash and AschalewAdaneBrhanu (2016)

“Family Decision Making on Purchasing the Gold: A Study on The Transition of Indian Gold Imports into Economic Turmoil”,

Journal of Exclusive Management Science (JEMS), Volume: 5, Issue: 6, June 2016, PP: 1 - 11.

15. Venugopal K, Guntuboina Ravi Kumar L.S, Nagaraju M., Ratnalu D., “Bank Nationalisation - 44 Years Of Socio-Economic

Justice In India”, International Journal of Innovative Research and Practices, Forum for Intellectual Academicians and Researchers,

Volume1, Issue 7(1), July 2013, PP.10-18

16. Udah, E. B. (2010): Industrial Development, Electricity Crisis, and Economic Performance in Nigeria. European Journal of

Economics, Finance and Administrative Sciences. 18:105- 121.

108.

Authors: Gopalakrishna Vakamullu, Koppala Venugopal, D. Vishnu Murty

Paper Title: Factors Influencing Rural Toursim Development Incase of Srikakulam District-AP

Abstract: Rural development in general, is much associated with its economic growth backed up with the

maximum utilization of rural resources and the government’s support through welfare schemes and other

provisions. The transmission of urbanization in the way of rural development, has been at the pace of

developing economy. Though the resources of rural environment is confined with agricultural and some other

professional sectors, certain destinations amalgamated with spiritual confidence, unique ambience, coastal

beauty and historical tracks have been popularly known by a limited people which is found to be focused for the

economic development of rural India. As the specific objectives of identifying particular destinations with their

core competencies and evaluating its marketing opportunities and assessing the tourists behavior, this study

proceeded with a method mix of descriptive, cross-sectional design with convince sampling of non-probability.

A standard questionnaire targeted to the population of tourists with the determined size backed up with all measurement tests were executed. The results with the establishment of interpretation on the required practices

of rural tourism development were exposed with multiple regression analysis. Specific recommendations with

the management implication have been offered at the stand point of government policy modification, destination

marketing practices, infrastructural requirement and tourism delight.

Keyword: Rural development, Tourism destination, Marketing practices, Tourist satisfaction References:

1. Ajitha.S: “Tourism - The Other Side”, The Journal of Business Studies, Vol.2, No.1, 2004, pgp.87.

2. Anandan: “Marketing of tourism products”, The Journal of Business Studies, Vol.2 No.1, 2004, P.94.

3. Archana Bhatia: “SWOT Analysis of Indian tourism Industry”, International Journal of Application or Innovation in

Engineering & Management (IJAIEM), Vol.12, Issue – 12, 2013, pp.44-49.

4. Aschalew Adane., Seyar Yassin., Bamnet Letibelu and K. Venugopal (2018) “Assessment Of Hotel Seasonality; Causes,

Challenges & Marketing Strategies to Deal with: In Case of Selected Hotels of Amhara National Regional State”.,

International Journal of Innovative Research and Practices( IJIRP),Volume 6, Issue 1, January 2018, PP: 8-18

5. Batra, G.S, Dangwal, R.C: “Tourism Promotion and Development” Deep and Deep

532-535

https://blog.saginfotech.com/gst-impact-on-gdp-india

6. Publication, New Delhi, 2000.

7. Bhardwaj, D.S., and Chaudhary, Manjula: “Contemporary Issues in Tourism”, Himalaya publishing house, Mumbai, 1997.

8. Bhatia A.K: “Tourism Management and Marketing”, Sterling Publishers, New Delhi, 1997, pp.39-41.

9. Chauhan, Ravee: “Eco Tourisms-Trends and Challenges”, Vista International Publishing House, New Delhi, 2006, p.241.

10. Jacob Robinet, Joseph Sindhu and Philip Anoop: “Indian Tourism Products”, Abhijeet Publications, New Delhi, 2007, pp.11-

12.

11. Jain, Yashodhara: “Tourism Development (Problems and Prospects of Tourism)”, A.P.H. Publishing Corporation Darya Gang,

New Delhi, 1998.

12. Koppala Venugopal and Vishnu Murty D (2019) Impact of e-marketing promotions on the performance of Religious Tourism:

In case of Srikakulam district, A. P, India” International Journal of Engineering and Advanced Technology, Volume-8, Issue-

6S3, September 2019, PP:1289-1292

13. Kumar, Ravi Bhushan: “Coastal Tourism and Environment”, APH Publishing Corporation Darya Gang, New Delhi, 1995,

pp.161-233.

14. Kumar Sandeep and Kumar Vinod: “Perception of Socio-Culture Impacts of Tourism: A Sociological Review”, International

Research Journal of Social Sciences, Vol. 3, No.2, 2014, pp.40-43.

15. Malhotra, R.K:” Tourism Planning and Management”, Anmol Publications Pvt. Ltd., New Delhi, 2005, p. 333.

16. Manoharan Nair K: “Tourism Marketing - A SWOT analysis”, The Journal of Business Studies, Vol.2 No.1, 2004, pp. 92.

17. Munish Tiwari: “Making of Indian Tourism in 21st Century: Challenges and Prospects”, International Journal of Physical and

Social Sciences, Vol.2, Issue – 5, 2012, pp.309-318.

18. Ranbir Singh: “Challenges Faced by Tourism Industry of Haryana”, International Journal of Management Research and

Review, Vol.2, Issue-11, 2012, pp.1875-1880. Shaheeda Banu: “Emerging Trends in Tourism Marketing-With Special

Reference to Karnataka as Tourism Destination”, Global Journal of Commerce and Management Perspective, Vol. 1, No. 2,

2012, pp.19-25.

19. Remanan. K: “Evils of Tourism”, the Journal of Business Studies, Vol.2, No.1, 2004, pp. 85.

20. Renu Malra: “Online Tourism Marketing”, Asia Pacific Journal of Marketing & Management Review, Vol. 2, No.7, 2013,

pp.150-156.

21. Santosh Ranganath N, Venugopal K, (2011), “Rural Entrepreneurship Challenges and Opportunities: An Indian Context”,

Indian Journal of Applied Research, Volume 1, Issue 2, November 2011, pp. 65-68.

22. Sethi, Praveen: “Millennium Trends in Travel and Tourism”, Rajat Publications, New Delhi, 2002, p. 300.

23. Varaprasad and Sundari: “Indian perspective on Tourism (Interventions and Drivers)”, International Journal of Research in

Management, Vol. 1, Issue – 2, 2012, pp. 115-127

24. https://en.wikipedia.org/wiki/World_Tourism_Organization

25. https://en.wikipedia.org/wiki/Tourism_in_India

26. http://aptourismsrikakulam.blogspot.com/

109.

Authors: K.Ravikiran, K.S.Srikanth

Paper Title: Reactive Power Control for Grid Tied PVG System with ANN Based Transformerless Inverter

Abstract: The Rise in power demand with growing population across the world has led to the development

of renewable energy sources. Amongst all the renewable energy sources PV power generation system proves to

be more superior and efficient than other renewable sources. Recent innovations in transformerless inverters

have proven to be efficient and reliable than conventional ones. The major difficulty in handling the transformerless inverter is the leakage currents, which is for the reason that parasitic capacitance is in between

PV array and ground. This leakage current leads to several protection issues along with unstable CM voltages.

Here the recommendedtransformerless inverter aimed at grid connected PV system has capability to reduce

leakage currents. It also provides the required reactive power to the system to maintain constant CM voltage. To

provide high quality current injection in to the grid, PR controller and fuzzy controller are used. In this study the

detailed analysis of the operating modes of the H6 PV transformer less inverter system, investigation of the

leakage currents and outcomesobtained in MATLAB simulation are to be presented.

Keyword: Common mode (CM), parasitic capacitance, reactive power, ANN controller, Transformer less

inverter. References: 1. Monirul Islam, Nadia Afrin, and SaadMekhilef, Senior Member, IEEE “Efficient Single Phase Transformerless Inverter for Grid -Tied

PVG System with Reactive Power Control,” IEEE Transactions On Sustainable Energy, 2016.

2. X. Huafeng and X. Shaojun, “Leakage current analytical model and application in single-phase transformerless photovoltaic Grid

connected inverter” IEEE Trans. Electromagn. Compat., vol. 52, no. 4, pp. 902–913, Nov. 2010.

3. T. Kerekes, R. Teodorescu, P. Rodriguez, G. Vazquez, and E. Aldabas, “A new high-efficiency single-phase transformerless PV

inverter topology,” IEEE Trans. Ind. Electron., vol. 58, no. 1, pp. 184–191, Jan. 2011.

4. Y. Bo, L. Wuhua, G. Yunjie, C. Wenfeng, and H. Xiangning, “Improved transformerless inverter with common -mode leakage current

elimination for a photovoltaic grid-connected power system,” IEEE Trans. Power Electron., vol. 27, no. 2, pp.

5. 752–762, Feb. 2012.

6. O. Lopez et al., “Eliminating ground current in a transformerless photovoltaic application,” IEEE Trans. Energy Convers.,vol. 25, no.

1, pp. 140–147, Mar. 2010.

7. T. F. Wu, C. L. Kuo, K. H. Sun, and H. C. Hsieh, “Combined unipolar and bipolar PWM for current distortion improvement during

power compensation,” IEEE Trans. Power Electron., vol. 29, no. 4, pp. 1702–1709, Apr. 2014.

8. D. Schmidt, D. Siedle, and J. Ketterer, “Inverter for transforming a DC voltage into an AC current or an AC voltage,” EP Patent 1, 369,

985, 2009

9. M. Victor, F. Greizer, S. Bremicker, and U. Hübler, “Method of converting a direct current voltage from a source of direct current

voltage, more specifically from a photovoltaic source of direct current voltage, into a alternating current voltage,” U.S. Pa tents 7 411

802 B2, 2008

10. M. Islam and S. Mekhilef, “An improved transformerless grid connected photovoltaic inverter with reduced leakage current,” Energy

convers.Manage, vol. 88, pp. 854–862, 2014

11. E. Gubía, P. Sanchis, A. Ursúa, J. López, and L. Marroyo, “Ground currents in single-phase transformerless photovoltaic systems,”

Progr. Photovoltaics Res. Appl., vol. 15, pp. 629–650, 2007.

12. S. Dasgupta, S. K. Sahoo, and S. K. Panda, “Single-phase inverter control techniques for interfacing renewable energy sorces with

micro grid part I: Parallel-connected inverter topology with active and reactive power flow control along with grid current shaping,”

IEEE Trans. Power Electron., vol. 26, no. 3, pp. 717–731, Mar. 2011

13. Monirul Islam, Nadia Afrin, and SaadMekhilef, Senior Member, IEEE “Efficient Single Phase Transformerless Inverter for Grid T ied

536-542

https://en.wikipedia.org/wiki/Tourism_in_India

PVG system with Reactive power control,” IEEE Transactions On Sustainable Energy,2016.

14. M. Monfared and S. Golestan, “Control strategies for single-phase grid integration of small-scale renewable energy sources: A

review,” Renew. Sustain. Energy Rev., vol. 16, pp. 4982–4993, 2012

15. F. Blaabjerg, R. Teodorescu, M. Liserre, and A. V. Timbus, “Overview of control and grid synchronization for distributed powe r

generation systems,”IEEE Trans. Ind. Electron., vol. 53, no. 5, pp. 1398–1409, Oct. 2006

16. S. Lalouni, D. Rekioua, T. Rekioua, and E. Matagne, “Fuzzy logic control of stand-alone photovoltaic system with battery storage,”

Journal Power. Sources, vol. 193, pp. 899-907, Sep 2009

17. D. P. Kaundinya, P. Balachandra, and N.H. Ravindranath, “Grid connected versus stand-alone energy systems for decentralized

power-A review of literature,” Renew. Sust. Energy Rev., vol. 13, pp, October 2009

18. Y. Yang and F. Blaabjerg, “Low-voltage ride-through capability of a single-stage single-phase photovoltaic system connected to the

low-voltage grid,”Int. J. Photoenergy, vol. 2013, pp. 1–9, 2013.

110.

Authors: Shivaputra, Meenakshi L Rathod, Shwetha M, S Soundeswaran

Paper Title: A Research on Mystic Alexa Mirror

Abstract: The present works main motive is to design and build a mystic Alexa mirror that represents an

elegant interface for glancing information for many people in any environment, for instance college, company

etc. The device will look like a regular mirror but would have a screen inside and the user will be sensed

automatically by the proximity sensor installed inside and it would interact with using voice commands.

In the case of college guide, the coding have been done in such a way that it can tell the details about that

particular place by using a security camera as well as tell the directions for the classrooms, different blocks, labs,

washrooms etc. Using Google assistant controlled display, the user can send messages to the mirror from his

smart phone without using a sim card. And so this is how we will be able to achieve our main objectives by

building this project. Keyword: Internet of things, IDE ,Application Program Interface, Wireless Fidelity, LED, Voice User

Interface. References: 1. Bohn, dieter “You can finally say computer to your echo to command it”. Retrieved 2017-01-28.

2. "Amazon Alexa". Alexa.amazon.com. Retrieved 2016-08-02.

3. Bjose.Jane et al. “Home Automated Smart Mirror As An Internet Of Things (IOT) Implementation”.

4. Speech technology media”. Star performers: Amazon’s on fire”. Retrieved. https://en.wikipedia.org/wiki/Amazon_ Echo.

5. "Amazon.com Help: Set Up Your Amazon Echo". Amazon.com. Retrieved 2015-03-04.

543-547

111.

Authors: T.Anitha, K.Brindha

Paper Title: An Exploration of Effective Evaluation Rubrics for Assessing the Writing Skill of Engineering

Graduates

Abstract: The work breaks down the measurements pursued during the evaluation. The educators are liable

for leading the appraisal. Consequently, the technique decides the different measures for examining composing strategies. A typical issue isn't finishing all parts of the assignment. Students should ensure they read the errand

guidelines cautiously and find out precisely what they are required to do. The directions typically clarify that

there are various explicit parts of the general assignment, all of which should be finished. To keep away from

breakdowns in association and cognizance, it is prudent to compose a different section to manage every point.

There ought to likewise be clear linkage between passages by alluding advances or in reverse in the content

utilizing firm methods, for example, proper conjunctions, pronouns, redundancy or substitution of watchwords

and expressions, and words, for example, 'this', 'that', 'already', 'next', and so on. Composing ought to be succinct

and ought to exclude any superfluous or immaterial substance. Up-and-comers should ensure that they edit that

they got done with composing cautiously to maintain a strategic distance from such syntactic blunders as poor

sentence structure, off base subject action word understanding, conflicting or wrong utilization of particular and

plural, poor word request, base tenses, erroneous utilization of grammatical forms (utilizing a modifier rather than an intensifier, or a thing rather than an action word, for instance) and inaccurate accentuation, just as

spelling botches. Banalities, for example, 'enlarging their points of view's or 'accepting brilliant open doors'

ought to be maintained a strategic distance from as they are now and again (mis)used and can prompt perplexity.

Competitors are encouraged to invest more energy using English writings of the sort depicted in the Reading

segment to build their jargon and to rehearse their composition. They ought to likewise be comfortable with the

fundamental structure of a reasonable book. The review investigates the different measurements to be pursued

when instructors right the test papers.

Keyword: Teachers, Students, Exam, Writing, Metrics References: 1. Allen, James. Maintaining Knowledge About Temporal Intervals. CACM, 1983, 26, 832-843.

2. Leech, Geoffrey N. Meaning and the English Verb. London : Longman, 1971.

3. McDermott, Drew. A Temporal Logic For Reasoning About Processes And Plans. Cognitive Science, 1982, 6, 101-155.

4. Reichenbach, Hans. Elements of Symbolic Logic, New York : MacMillan, 1947.

5. Yip, Kenneth M. Tense, Aspect and the Cognitive Representation of Time. IJCAI Proceedings, 1985, 806-814.

548-553

112.

Authors: Surapu Ramlal, Ponnana Ramprasad, Ch Vasudevarao

Paper Title: Pogressive Collapse Analysis of Multi Storey (G+10) Building by Staad Pro. using Column Removal

Abstract: This project presents an attempt to do progressive collapse analysis of multistory (G+10)

residential building by STAAD Pro (Structural Analysis and Design Software Application). STAAD Pro is

software that helps to analysis and design of low and high-rise buildings and portal frame structures. In this

project G+10 RC frame building is analysis statically (linear method) along with Progressive Collapse analysis.

In progressive collapse the weight of the building transfers to the neighbour columns in the structure causes to

the failure of adjoining members and finally to the failure of partial or whole structure. All the members of the

project are analyzed as per Indian codes IS 456:2000, IS 800:2007, and IS 1893:2002 (part1) code using this

software. Here the result for is compared between the shear force, bending moment variations value of corner column, Zone1, Zone2, Zone 3 by STAAD Pro. With medium soil type and for Progressive Collapse analysis

GSA guidelines are followed.

As per GSA guidelines three column removal cases for each case1, case2, case3 one at a time has studied,

namely Corner column removal, Exterior column removal and interior column removal all at ground floor.

Keyword: Progressive collapse analysis, GSA Guidelines, Column removal cases. References: 1. General Services Administration (GSA). (2003).Progressive collapse analysis and design guidelines for New federal office buildings

and major modernization projects, GSA.

2. Mr. S. Mahesh, Mr. Dr.B., PandurangaRao “Comparison of analysis and design of regular and irregular configuration of multi-Story

building in various seismic zones and various types of soils using ETABS and STAAD” in Journal of Mechanical and Civil

Engineering (IOSR-JMCE),e-ISSN: 2278-1684,p-ISSN: 2320-334X, Volume 11, Issue 6 Ver. I (Nov- Dec. 2014), PP 45-52.

3. Meng-Hao Tsai, Tsuei-Chiang Huang (2011)." Progressive Collapse Analysis of an RC Building with Exterior Non-Structural Walls"

.Procedia Engineering 14 (2011) 377

4. Giriunas (2009), “Progressive Collapse Analysis of an Existing Building,” Ohio state University.

5. UsmanIlyas, S H Farooq, I. Shahid and M. Ilyas, “Progressive Collapse of Reinforced Concrete Frame Structure under Column

Damage Consideration”, Pak. J. Engg. & Appl. Sci. Vol. 16, Jan., 2015 (p. 61–66).

554-565

113.

Authors: PonnanaRamprasad, MadhusmitaMoharana, Ch. Chandra Mouli

Paper Title: Static, Dynamic and Pogressive Collapse Analysis of Multi Storey (G+10) Residential Building by

ETABS Software

Abstract: This project presents an attempt to do static, dynamic and progressive collapse analysis of

multistory (G+10) residential building by ETABS (Extended 3D Analysis of Building Systems). ETABS is

software that helps to anatomization and design of low and high-rise buildings and frame structures. In this

project G+10 RC frame building is analysis statically (linear method) and dynamically (Response Spectrum

method) along with Progressive Collapse analysis. All the members of the project are analyzed as per Indian

codes IS 456:2000, IS 800:2007, and IS 1893:2002 (part1) code using this software. Here the result for Story stiffness, Base shear, Story Shear, Overturning moments, Maximum displacement, and Story Drift is compared

between static and dynamic results for Zone2-(case1), Zone3-(case2), Zone4-(case3), Zone5-(case4) with

medium soil type and for Progressive Collapse analysis

GSA guidelines are followed.

As per GSA guidelines three column removal cases for each case1, case2, case3, and case4 individually studied,

namely Corner column removal, Exterior column removal and interior column removal at ground floor. For all

three cases linear analysis study has been undertaken and DCR ratios are evaluated. Member having DCR ratio

greater than 2 will going to fail for corresponding column removal case. Keyword: Static analysis, Dynamic analysis, Progressive collapse analysis, GSA Guidelines. References:

1. General Services Administration (GSA). (2003).Progressive collapse analysis and design guidelines for New federal office buildings

and major modernization projects, GSA.

2. Reference ETABS 2015. Version 15, Extended 3-D Analysis of Building Systems, Computers and Structures, Inc.,Berkeley.

3. Mrs. Mir Sana Fatema, Prof. A.A. Hamane “Progressive Collapse of Reinforced Concrete” in International Journal of Emerging

Trends in Science and Technology .IJETST, Vol.||03||Issue||12||Pages,4846-4854||December||ISSN,2348-9480.

4. GirumMindaye, Dr. ShaikYajdani “Seismic Analysis of a Multistory RC Frame Building in Different Seismic Zones”in Internationa l

Journal of Innovative Research in Science, Engineering and Technology, Vol. 5, Issue 9, September 2016.

5. B. Srikanth, V. Ramesh “Comparative Study of Seismic Response for Seismic Coefficient and Response Spectrum Methods” in

International Journal of Engineering Research and Applications, ISSN: 2248-9622, Vol. 3, Issue 5, Sep-Oct 2013, pp.1919-1924.

566-574

114.

Authors: AbirAchache, AbdelhalimBaaziz, Toufik Sari

Paper Title: A Hybrid P2P Network-Based Remote Treatment SaaS Cloud Computing

Abstract: Cloud Computing has emerged as a new model for managing and using IT systems that has

become a key topic in the field. The technology consists of deporting to remote servers the treatments, storage

and management of data usually performed locally in order to access it as a service. Having so many

opportunities also costs a lot in terms of infrastructure. The idea is to create a Cloud without infrastructure for

providing to clients services in software as a service "SaaS" form. The solution consists of using a hybrid P2P

network as an infrastructure for our Cloud. Cloud services are initially offered by the Cloud but hosted and

executed through P2P network peers. The realized prototype and simulation results (with PeerSim) are

encouraging and prove that a distributed and dynamic Cloud architecture based on a peer-to-peer network can be

a reliable solution to infrastructure issues.

575-583

Keyword: Cloud Computing, Peer to Peer, PeerSim, SaaS, Services. References: 1. Q.Zhang, L.Cheng and R.Boutaba, Cloud computing: state-of-the-art and research challenges, Journal of Internet Services and

Applications, Volume 1, Issue 1, pp 7–18, April 2010.

H.I.Syed and N.A.Baig, Survey On Cloud Computing, International Journal of Emerging Technology and Advanced Engineering,

Volume 3, Issue 4, April 2013.

2. A.Prasanth, Cloud Computing Services: A Survey, International Journal of Computer Applications, Volume 46– No.3, May 2012.

3. S.Bandela, R.Gadde and S.Pabboju, SURVEY ON CLOUD COMPUTING TECHNOLOGIES AND SECURITY THREATS,

International journal of engineering research and technology (IJERT), Volume 2, Issue 6, May 2015.

4. https://www.nist.gov/

G.Kulkarni, J.Gambhir and R.Palwe, Cloud Computing-Software as Service, International Journal of Computer Science & Information

Technology Research Excellence, Vol. 2, Issue 1, January-February 2012.

5. D. Box, D. Ehnebuske, G. Kakivaya, A. Layman, N. Mendelsohn, H. F. Nielsen,S. Thatte and D. Winer. Simple Object Access

Protocol (SOAP) 1.1, W3C Note 8,W3C, May 2000. http://www.w3.org/TR/2000/NOTE-SOAP-20000508/

6. P.Kisembe and W.Jeberson, FUTURE OF PEER-TO-PEER TECHNOLOGY WITH THE RISE OF CLOUD COMPUTING,

International Journal of Peer to Peer Networks (IJP2P), Vol.8, No.2/3, August 2017.

7. R.K.Maurya, S.Pandey and V.Kumar, A Survey of Peer- to-Peer Networks, International Journal of Advanced Research in Computer

and Communication Engineering, Vol. 5, Issue 4, April 2016.

8. N.Chaudhary and J.Surolia, A survey on peer to peer system applications, International Journal of Innovative Computer Science &

Engineering, Volume: 2, Issue: 1, 2015.

9. B. Pourebrahimi, K. Bertels and S. Vassiliadis, A Survey of Peer-to-Peer Networks, In: 16th Annual workshop on circuits, systems and

signal processing, ProRisc 2005, Veldhoven, The Netherlands, 2005.

10. R.Steinmetz and K.Wehrle, Peer-to-Peer Systems and Applications, Springer: Berlin, Germany, 2005; Volume 3485.

11. I.Filali, F.Bongiovanni, F.Huet, and F.Baude , A Survey of Structured P2P Systems for RDF Data Storage and Retrieval, Transactions

on large-scale data-and knowledge-centered systems III, pp. 20–55. Springer-Verlag, Berlin, Heidelberg, 2011.

12. J.M.Doudoux. Développons en Java. 2019.

13. P.Guo, A Survey of Software as a Service Delivery Paradigm, In: Seminar on Internetworking, 2009.

14. K.Sharma, Software as a Service and Cloud Security, Journal of Computer, Vol.3 Issue. 2, February- 2018.

15. T.C. Sandanayake and P.G.C.Jayangani, Current Trends in Software as a Service (SaaS), International Journal for Innovation

Education and Research, Volume: 6, No-02, pp.221-234, 2018.

16. K.V. K Mahesh Kumar, SOFTWARE AS A SERVICE FOR EFFICIENT CLOUD COMPUTING, International Journal of Research in

Engineering and Technology, Volume: 03, Issue: 01, Jan-2014.

17. B.Kaur, Software As A Service: A Brief Study, International Research Journal of Engineering and Technology (IRJET), Volume: 02,

Issue: 03, June-2015.

18. S. Jo and J.Han, Convergence P2P cloud computing, International Journal of Peer-to-Peer Networking and Applications, 6, pp: 1153–

1155, May 2018.

19. S.Wilkinson, T.Boshevski, J.Brandoff, J. Prestwich , G.Hall, P.Gerbes, P.Hutchins and C. Pollard, Storj A Peer-to-Peer Cloud Storage

Network, December 15, 2016.

20. G .García-Rodríguez and F.López-Fuentes, A Storage Service based on P2P Cloud System, Research in Computing Science , pp. 89–

96, 2014,

21. H.Kavalionak and A.Montresor, P2P and Cloud:A Marriage of Convenience for Replica Management, the 6th International Federation

for Information Processing (IFIP), Workshop on Self Organizing Systems. Lecture Notes in Computer Science. Springer, pp. 60–71,

2012.

22. O.Babaoglu, M.Marzolla and M.Tamburini, Design and Implementation of a P2P Cloud System, in Proceedings of the 27th Annual

ACM Symposium on Applied Computing. ACM, pp. 412–417, 2012.

23. B.S.Sarada and S.Nagarajan, Improving P2P in Cloud Computing based on Performance, International Journal of Computer

Applications (IJCA), Special Issue on “Computational Science - New Dimensions & Perspectives”, NCCSE, 2011

24. A.Zhygmanovskyi and N.Yoshida, Cloud Service Provisioning Based on Peer-to-Peer Network for Flexible Service Sharing and

Discovery, Journal of Computer and Communications, 2, pp.17-31, 2014.

25. G.P.Jesi, PeerSimHOWTO:Build a new protocol for the PeerSim 1.0 simulator, December 24, 2005.

26. S.Srati, D.C. Jinwala and S.Garg, A survey of simulators for P2P overlay networks with a case studyof the P2P tree overlay us ing an

event-driven simulator, Engineering Science and Technology, an International Journal,Volume 20, Issue 2, April 2017, Pages 705-720.

S.Naicken, A.Basu, B.Livingston and S.Rodhetbhai, A Survey of Peer-to-Peer Network Simulators, In The Seventh Annual

Postgraduate Symposium, vol. 2, 2006.

27. M.Ebrahim, S.Khan and S.SherazandH.Mohani, Peer-to-Peer Network Simulators: an Analytical Review. arXiv preprint

arXiv:1405.0400, 2014.

115.

Authors: Lakshmi Raj

Paper Title: An Edge Optimization based Image Haze Removal Technique using a Single Image

Abstract: The perceivability and shading loyalty of outside pix are willing to genuine debasement beneath

murky or foggy weather. Numerous PC imaginative and prescient applications usesystems which assume that

the information is sans dimness. What's greater, while the assets of info are cloudy, the yields of such

frameworks could bring about true mistakes. Thusly, picture murkiness expulsion has right down to earth

centrality for true programs. In this paper, we advocate an improved environmental dissipating model and

present a proficient image murkiness evacuation calculation depending on the stepped forward model. The

information photo is first divided into various scenes dependent on the dimness thickness. Next, a scene

luminance map is assessed for each scene by using gambling out the averaging and disintegration

responsibilities. At that factor, the profundity map is found utilizing a straight model, which makes use of the beauty and immersion segments of the statistics photograph. The transmission map is then assessed by utilising

the got depthmap and the dissipating coefficient. Furthermore, a delicate tangling approach is applied for aspect

enhancement, to do away with the negative influences triggered from an irrelevant scene department outcomes,

and to supply a refined scene luminance guide and transmission map. At last, the improved climatic dispersing

model is utilized to accumulate the cloudiness loose yield photograph. The check outcomes exhibit that our

technique is a hit in looking after a progression of ordinary troubles like lopsided luminance, over improve and

over immersion in pictures. In addition, our strategy outflanks maximum modern-day photo cloudiness

expulsion calculations concerning first-rate and protection of edges.

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Keyword: Atmospheric Scattering Model , Depth map , Edge Preservation , Single image haze removal ,

Scene Segmentation , Soft matting , Transmission map. References:

1. Stark J A. Versatile photo differentiate improve making use of speculations of histogram adjustment. IEEE Trans ImageProcess,

2000, nine: 889–896

2. Pizer S M, Amburn E P, Austin J D, et al. Flexible histogram night out and its kinds. Comput Vis GraphImage process, 1987, 39:

355–368

3. Farid H. Dazzle opposite Gamma remedy. IEEE Trans image system, 2001, 10: 1428–1433

4. Deng G. A summed up unsharp concealing calculation. IEEE Trans image method, 2011, 20: 1249–1261

5. Zhang Y D, Wu L N, Wang S H, et al. Shading picture enhance depending on HVS and PCNN. Sci China InfSci, 2010,fifty three:

1963–1976

6. Li M. A brief calculation for shading picture enhance with absolute variety regularization. Sci China InfSci, 2010, 53:1913–1916

7. Narasimhan S G, Nayar S k. Complexity reclamation of weather corrupted photographs. IEEE Trans sample Anal Mach

Intell,2003, 25: 713–724

8. Y. Y. Schechner, S. G. Narasimhan, and S. Okay. Nayar, "second dehazingofimages using polarization," in Proc. IEEE Conf.

Comput. Vis. PatternRecognit. (CVPR), 2001, pp. I-325–I-332.

9. Shwartz S, Namer E, Schechner Y. Dazzle cloudiness partition. In: complaints of IEEE conference on computer Visionand

sample recognition, ny, 2006. 1984–1991

10. Kopf J, Neubert B, Chen B, et al. Profound photograph: model-primarily based image enhance and survey. ACM Trans Chart,

2008, 27: 116

11. Oakley J P, Satherley B L. Improving picture exquisite in horrible perceivability situations making use of a physical model for

contrastdegradation. IEEE Trans image manner, 1998, 7: 167–179

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coloration and Photometric methods in computer vision, 2009. 1–8

13. Schaul L, Fredembach C, Susstrunk S. Shading photo dehazingutilising the near infrared. In: lawsuits of IEEE

InternationalConference on photo Processing, Cairo, 2009. 1629–1632

14. R. T. Tan, Visibility in terrible weather from a solitary picture, Proc. IEEE Conf. Comput. Vis. Example Recognit , CVPR, pp. 1-

eight, Jun. 2008.

15. R. Fattal, unmarried photo dehazing , ACM Trans. Chart., vol. 27, no. Three, p. Seventy two, Aug. 2008.

16. ok. He, J. Solar, and X. Tang, unmarried picture cloudiness evacuation utilising silly channel earlier, IEEE Trans. Instance Anal.

Mach. Intell., vol. 33, no. 12, pp. 2341-2353, Dec. 2011.

17. Xiao C, Gan J, "short photo dehazing utilizing guided joint respective channel", Vis. Comput. ,28, 713-721, 2012.

18. Li B, Wang S, Zheng J, Zheng L, "unmarried photograph cloudiness evacuation using content-flexible stupid channel and put up

development", IET Comput. Vis., eight,131-one hundred forty, 2013.

19. Q. Zhu, J. Mai, and L. Shao, "A quick unmarried image cloudiness expulsion calculation using shading lessening earlier", IEEE

Trans. Photo making equipped ,3522-3533, 2015.

20. Li J, Zhang H, Yuan D, solar M, "single picture dehazingutilising the difference in detail earlier" , Neurocomputing ,156, 1 -

eleven, 2015

21. C. O. Ancuti, C. Ancuti, C. Hermans and P. Bekaert , "A short semi contrary way to deal with distinguish and expel the dimness

from a solitary photograph" , Proc. Asian Conf. Comput. Vis.(ACCV), 501-514, 2010.

22. MingyeJu ,Dengyin Zhang , Xuemei Wang, "single photo Dehazing through an advanced Atmospheric Scattering version",

Vis.Comput.,113, 2016.

23. A.Levin, D. Lischinski, and Y. Weiss. A near form solutionto commonplace photograph tangling. CVPR, 1:sixty one–sixty eight,

2006. Four, 5,7

24. Qian, L., Chen, M.Y., Zhou, D.H.: unmarried photograph cloudiness expulsion viadepth-based absolutely differentiation

extending alternate. Sci. China Inf. Sci. Fifty 8,1–17 (2015)

25. E. J. McCartney, Optics of the ecosystem: Scattering through Molecules and particles. Ny, the big apple, usa: Wiley, 1976.

26. S. G. Narasimhan and S. K. Nayar, "vision and the climate," Int. J.Comput. Vis., vol. 48, no. 3, pp. 233–254, Jul. 2002.

27. Desai, Nikunj. "down to earth assessment of photograph fine in Computed Radiographic (CR) Imaging systems"

28. Hautiere, N., Tarel, J.P., Aubert, D., Dumont, E.: Blind contrastenhancement appraisal with the aid of manner of slope ratioing at

important edges.Photograph Anal. Stereol. 27, 87–ninety 5 (2008).

116.

Authors: G. Suresh, N.C. Sendhil Kumar, R.Murugesan, P.Mukunthan

Paper Title: Multi Object and Dynamic Query Based CBIR System using DCT Incorporated with HOG and HTF

Abstract: This work contributes multi object detection and dynamic query image based retrieval system.

Generally, finding relevance and matching user expectations is very critical based on query key information and

these results irrelevant responses which will produce low similarity index. Consequently, CBIR system took a

major responsibility of identifying new objects, retrieving similar objects or contents based on multi query and

dynamic keywords with improved recall and precision as per requirement of the users. At this juncture, Discrete

Curvelet Transform with the incorporation of HOG and HTF based approach is proposed to handle commercial

image, medical images and types of multi model images. This proposed approach mainly focuses on extracting

scaled features for finding correlation among the query and database images. To start with the process, query image is decomposed into multi level sub images to extract set of texture features at two levels. These features

are estimated by Gray Level Co-occurrence Matrix (GLCM) and HOG descriptor based techniques is adapted to

find scaled vectors with reduced dimensionality. This method outperform compared as compared to existing

method is authenticated from experimental results.

Keyword: image retrieval, HOG, curvelet transforms, GLCM. References:

1. Yangxi Li, et al., (2012), “Difficulty Guided Image Retrieval Using Linear Multiple Feature Embedding IEEE Transactions on

Multimedia, Vol. 14, No.6.

2. Xiaoou Tang et al., (2012), “Intent Search: Capturing User Intention for One-Click Internet Image Search”, IEEE Transactions on

Pattern Analysis And Machine Intelligence, Vol. 34, No. 7.

3. Tatsuki Murakami et al., (2012), “Features for image retrieval: the impression degree of a human image by overexposure

occurring in the facial area”, SICE Annual Conference,

4. August 20-23, Japan.

590-592

5. Ben-Haim et al., (2006), “Improving Web- Based Image Search via Content Based Clustering,” Proc. Int’l Workshop Semantic

Learning Applications in Multimedia.

6. Yuan-feng et al., (2012), “Image Retrieval Using ESNs and Relevance Feedback”, 11th International Symposium on Distributed

Computing and Applications to Business, Engineering & Science

7. Josip et al., (2010), “Improving Web Image Search results using query relative classifiers” IEEE 9784244-6985-7/10.

8. Chen Cao1 et al., (2012), “Online – Non feedback image Re-ranking via dominant data selection”, MM’12, October 29–

November 2, Japan.Copyright 2012 ACM 978-1-4503-1089-5/12/10.

9. Arulananth et al., (2017), "Fake shadow detection using local histogram of oriented gradients (HOG) features”, 2017

International conference of Electronics, Communication and Aerospace Technology (ICECA), Vol.2, pp.739 – 742.

10. J. Cui, F. Wen, and X. Tang, (2008),“IntentSearch: Interactive On-Line Image Search Re Ranking,” Proc. 16th ACM

IntlConf.Multimedia, 2008.

11. Zhao et al., (2015), “An Enhanced HoGFor Pedestrian Detection”, IEEE Intell. Transp. Syst. Mag. Vol. 7,pp. 29–38.

12. YongHong Zhang. (2011) "Digital image hiding using curvelet transform", IEEE International Conference on Computer Science

and Automation Engineering.

13. Suoqi Zhang et al.,(2017) “Sparsity-motivated multi scale histograms of oriented gradients feature for SRC”, IEEE International

Conference on Unmanned Systems (ICUS),pp.389-393.

14. Arulananth et al., (2017), "Fake shadow detection using local histogram of oriented gradients (HOG) features”, 2017

International conference of Electronics, Communication and Aerospace Technology (ICECA), Vol.2, pp.739 – 742.

117.

Authors: Savithri, Suganya.D

Paper Title: Overwhelming Flow of Water using Machine Learning Techniques

Abstract: Floods are rare and dangerous disaster in minimum duration, which have the most destructive

impact within urban and rural areas. This research in flood prediction models contributed to risk reduction, to

prevent the loss of human life, and reduce the property of damage in floods. This study implements the

automated machine learning models, using the Support Vector Machine (SVM) and Artificial Neural Network

(ANN). The rainfall data and various meteorological parameter which include temperature data are used in this

study. Concurrent daily records of inflow and discharge are taken into consideration to calculate the water level

to quantify the importance of the lake flow. It aims to discovering accurate and efficient for the flood forecasting

model. This paper attempts to forecast flood by modelling water level, temperature and rainfall data in the

region of Korattur lake, Chennai, India. In this study, ultrasonic sensor used to capture the measurement of water

level to predict from ultrasonic waves and input of same implemented in BPNN and Support Vector Machine

(SVM) were used for flood forecasting. The water level flow is deducted in this research using ultrasonic sensor,

proves the best efficient models applied for flood forecasting. This study can be used as a predicting the flood by choosing the proper Machine Learning (ML) algorithm such as Support Vector Machine (SVM) and Artificial

Neural Network (ANN) algorithm for showing higher accuracy. To get more accurate result of the models, three

standard statistical performance evaluation parameters, Root Mean Square Error (RMSE), Mean Absolute Error

(MAE) and coefficient of determination ( ) were used to analyse the performance of the model developed. As a

result, the proposed model proves the most efficiency and accuracy for predicting the flood forecasting.

Keyword: ultrasonic waves, metrological parameter, ultrasonic sensor References:

1. H. Shahraiyni, M. Ghafouri, S. Shouraki, B. Saghafian, and M. Nasseri, “Comparison between active learning method and support

vector machine for runoff modeling,” J. Hydrol. Hydromechanics, vol. 60, no. 1, pp. 16–32, 2012.

2. S. H. Elsafi, “Artificial Neural Networks (ANNs) for flood forecasting at Dongola Station in the River Nile, Sudan,” Alexandria Eng.

J., vol. 53, no. 3, pp. 655–662, 2014.

3. J. Noymanee, N. O. Nikitin, and A. V. Kalyuzhnaya, “Urban Pluvial Flood Forecasting using Open Data with Machine Learning

Techniques in Pattani Basin,” Procedia Comput. Sci., vol. 119, no. 2017, pp. 288–297, 2017.

4. O. I. Abiodun, A. Jantan, A. E. Omolara, K. V. Dada, N. A. E. Mohamed, and H. Arshad, “State-of-the-art in artificial neural network

applications: A survey,” Heliyon, vol. 4, no. 11, p. e00938, 2018.

5. R. UshaRani, T. K. R. Krishna Rao, and R. Kiran Kumar Reddy, “An Efficient Machine Learning Regression Model for Rainfall

Prediction,” Int. J. Comput. Appl., vol. 115, no. 23, pp. 24–30, 2015.

6. J. Abbot and J. Marohasy, “Forecasting of Medium-term Rainfall Using Artificial Neural Networks: Case Studies from Eastern

Australia,” Eng. Math. Top. Rainfall, 2018.

7. F. Liu, F. Xu, and S. Yang, “A Flood Forecasting Model Based on Deep Learning Algorithm via Integrating Stacked Autoencoders

with BP Neural Network,” Proc. - 2017 IEEE 3rd Int. Conf. Multimed. Big Data, BigMM 2017, pp. 58–61, 2017.

8. M. Hitokoto and M. Sakuraba, “Applicability of the Deep Learning Flood Forecast Model Against the Inexperienced Magnitude of

Flood,” vol. 3, pp. 901–893, 2018.

9. D. Hassan, K. Ansari, R. Bano, A. Anwar, N. Shaikh, F. Zaidi, and M. Ali, “Application of Neural Networks for River Flow

Forecasting,” Int. J. Sci. Eng. Res., vol. 8, no. May, pp. 1365–1371, 2017.

10. M. Campolo, A. Soldati, and P. Andreussi, “Artificial neural network approach to flood forecasting in the River Arno,” Hydrol. Sci. J.,

vol. 48, no. 3, pp. 381–398, 2003.

11. D. Panagoulia, “Artificial neural networks and high and low flows in various climate regimes,” Hydrol. Sci. J., 2006.

12. J. R. Mohanty and M. R. Mohapatra, “Rainfall Prediction Using Support Vector Machine ( SVM ),” vol. 20, no. 3, pp. 6–13, 2018.

13. E. Michael and O. Patience, “Flood Prediction In Nigeria Using Artificial Neural Network American Journal of Engineering Research (

AJER ),” no. 9, pp. 15–21, 2018.

14. Y. Hasbi, W. Budi, and S. Rukun, “Feed Forward Neural Network Modeling for Rainfall Prediction,” E3S Web Conf., vol. 73, p.

05017, 2018.

15. R. Bustami, N. Bessaih, C. Bong, and S. Suhaili, “Artificial Neural Network for Precipitation and Water Level Predictions of Bedup

River,” Int. J. Comput. Sci., vol. 34, no. 2, pp. 1–9, 2007.

16. Albert Alexander Stonier and Brad Lehman, “An Intelligent Based Fault Tolerant System for Solar Fed Cascaded Multilevel

Inverters”, IEEE Transactions on Energy Conversion, Vol.33, No.3, pp.1047-1057, September 2018.

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