Progress in Advanced Computing and Intelligent Engineering

1. Front Matter

   Pages i-xvi

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2. Advanced Machine Learning Applications

   1. Front Matter

      Pages 1-1

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   2. Prediction of Depression Using EEG: A Comparative Study

      • Namrata P. Mohanty, Sweta Shree Dash, Sandeep Sobhan, Tripti Swarnkar

      Pages 3-11

   3. Prediction of Stroke Risk Factors for Better Pre-emptive Healthcare: A Public-Survey-Based Approach

      • Debayan Banerjee, Jagannath Singh

      Pages 12-24

   4. Language Identification—A Supportive Tool for Multilingual ASR in Indian Perspective

      • Basanta Kumar Swain, Sanghamitra Mohanty

      Pages 25-36

   5. Ensemble Methods to Predict the Locality Scope of Indian and Hungarian Students for the Real Time: Preliminary Results

      • Chaman Verma, Zoltán Illés, Veronika Stoffová

      Pages 37-48

   6. Automatic Detection and Classification of Tomato Pests Using Support Vector Machine Based on HOG and LBP Feature Extraction Technique

      • Gayatri Pattnaik, K. Parvathi

      Pages 49-55

   7. Poly Scale Space Technique for Feature Extraction in Lip Reading: A New Strategy

      • M. S. Nandini, Nagappa U. Bhajantri, Trisiladevi C. Nagavi

      Pages 56-64

   8. Machine Learning Methods for Vehicle Positioning in Vehicular Ad-Hoc Networks

      • Suryakanta Nayak, Partha Sarathi Das, Satyasen Panda

      Pages 65-76

   9. Effectiveness of Swarm-Based Metaheuristic Algorithm in Data Classification Using Pi-Sigma Higher Order Neural Network

      • Nibedan Panda, Santosh Kumar Majhi

      Pages 77-88

   10. Deep Learning for Cover Song Apperception

       • D. Khasim Vali, Nagappa U. Bhajantri

       Pages 89-99

   11. SVM-Based Drivers Drowsiness Detection Using Machine Learning and Image Processing Techniques

       • P. Rasna, M. B. Smithamol

       Pages 100-112

   12. Fusion of Artificial Intelligence for Multidisciplinary Optimization: Skidding Track—Case Study

       • Abhishek Nigam, Debi Prasad Ghosh

       Pages 113-124

   13. A Single Document Assamese Text Summarization Using a Combination of Statistical Features and Assamese WordNet

       • Nomi Baruah, Shikhar Kr. Sarma, Surajit Borkotokey

       Pages 125-136

   14. SVM and Ensemble-SVM in EEG-Based Person Identification

       • Banee Bandana Das, Saswat Kumar Ram, Bibudhendu Pati, Chhabi Rani Panigrahi, Korra Sathya Babu, Ramesh Kumar Mohapatra

       Pages 137-146

   15. A Self-Acting Mechanism to Engender Highlights of a Tennis Game

       • Ramanathan Arunachalam, Abishek Kumar

       Pages 147-162

   16. Performance Evaluation of RF and SVM for Sugarcane Classification Using Sentinel-2 NDVI Time-Series

       • Shyamal Virnodkar, V. K. Pachghare, V. C. Patil, Sunil Kumar Jha

       Pages 163-174

   17. Classification of Nucleotides Using Memetic Algorithms and Computational Methods

       • Rajesh Eswarawaka, S. Venkata Suryanarayana, Purnachand Kollapudi, Mrutyunjaya S. Yalawar

       Pages 175-184

   18. A Novel Approach to Detect Emergency Using Machine Learning

       • Sarmistha Nanda, Chhabi Rani Panigrahi, Bibudhendu Pati, Abhishek Mishra

       Pages 185-192

3. Data Mining Applications and Sentiment Analysis

   1. Front Matter

      Pages 193-193

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This book features high-quality research papers presented at the 4th International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2019), Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India. It includes sections describing technical advances and contemporary research in the fields of advanced computing and intelligent engineering, which are based on the presented articles. Intended for postgraduate students and researchers working in the discipline of computer science and engineering, the book also appeals to researchers in the domain of electronics as it covers hardware technologies and future communication technologies.

• Network Performance Analysis
• Parallel and Distributed Networks
• Internet of Things Networks
• Wireless Sensor Networks
• Social and Smart Networks
• Software Defined Networks
• Vehicular Ad-hoc Networks
• Mobile Ad-hoc Networks
• Delay Tolerant Networks
• Fault Tolerant Networks
• Body Area Networks
• Opportunistic Networks
• Cognitive Radio Networks
• Satellite Communication
• Cryptography and Data Security
• Software Engineering
• Cyber-Physical Systems
• Smart City Applications

• Department of Computer Science, Rama Devi Women's University, Bhubaneswar, India

  Chhabi Rani Panigrahi, Bibudhendu Pati

• Department of Computer Science, University of California, Davis, USA

  Prasant Mohapatra

• Cloud Computing and Distributed Systems (CLOUDS) Lab, School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia

  Rajkumar Buyya

• Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

  Kuan-Ching Li

Dr. Chhabi Rani Panigrahi is an Assistant Professor in the Department of Computer Science at the Rama Devi Women’s University, Bhubaneswar, India. Dr. Panigrahi has received her doctoral degree from Indian Institute of Technology Kharagpur, India. Her research interests include software testing and mobile cloud computing. She has more than 19 years of teaching and research experience, and has published several scholarly articles in journals and conferences of international repute. Dr. Panigrahi is the author of a textbook and a few edited books. She is a life member of the Indian Society of Technical Education (ISTE) and a member of IEEE and the Computer Society of India (CSI).

Dr. Bibudhendu Pati is the Associate Professor and Head, in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. He received his Ph.D. degree from IIT Kharagpur. Dr. Pati has 22 years of experience in teaching, research, and industry. His areas of research include wireless sensor networks, cloud computing, big data, Internet of things, and networks virtualization. He is a life member of the Indian Society of Technical Education (ISTE), senior member of IEEE, member of ACM, and life member of Computer Society of India (CSI). He has published several papers in leading international journals, conference proceedings, and books. He is associated with organizing different reputed international conferences.

Prof. Prasant Mohapatra is serving as the Vice Chancellor for Research at the University of California, Davis. He is also a Professor in the Department of Computer Science and served as the Dean and Vice Provost of Graduate Studies during 2016–18. He was the Department Chair of Computer Science during 2007–13. In the past, Dr. Mohapatra has also held Visiting Scientist positions at Intel Corporation, Panasonic Technologies, Institute of Infocomm Research (I2R), Singapore, and National ICT Australia (NICTA). Dr. Mohapatra received his doctoral degree from Penn State University in 1993, and received an Outstanding Engineering Alumni Award in 2008. He is also the recipient of Distinguished Alumnus Award from the National Institute of Technology, Rourkela, India. Dr. Mohapatra received an Outstanding Research Faculty Award from the College of Engineering at the University of California, Davis. He received the HP Labs Innovation awards in 2011, 2012, and 2013. He is a Fellow of the IEEE and a Fellow of AAAS. Dr. Mohapatra's research interests are in the areas of wireless networks, mobile communications, cybersecurity, and Internet protocols. He has published more than 350 papers in reputed conferences and journals on these topics. Dr. Mohapatra's research has been funded through grants from the National Science Foundation, US Department of Defense, US Army Research Labs, Intel Corporation, Siemens, Panasonic Technologies, Hewlett Packard, Raytheon, and    EMC Corporation.

Prof. Rajkumar Buyya is aRedmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the university, commercializing its innovations in cloud computing. He served as a Future Fellow of the Australian Research Council during 2012–2016. He has authored over 625 publications and seven textbooks including “Mastering Cloud Computing” published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese, and international markets, respectively. He also edited several books including “Cloud Computing: Principles and Paradigms” (Wiley Press, USA, February 2011). He is one of the highly cited authors in computer science and software engineering worldwide (h-index=123, g-index=271, 79,000+ citations). “A Scientometric Analysis of Cloud Computing Literature” by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing.  Dr. Buyya is recognized as a “Web of Science Highly Cited Researcher” for three consecutive years since 2016, a Fellow of IEEE, and Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier for his outstanding contributions to cloud computing. Software technologies for grid and cloud computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and international research leadership of Dr. Buyya are recognized through the award of “2009 IEEE Medal for Excellence in Scalable Computing” from the IEEE Computer Society TCSC. Manjrasoft's AnekaCloud technology developed under his leadership has received “2010 Frost & Sullivan New Product Innovation Award”. Recently, Dr. Buyya received “Mahatma Gandhi Award” along with Gold Medals for his outstanding and extraordinary achievements in information technology field and services rendered to promote greater friendship and India–International cooperation. He served as the founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Co-Editor-in-Chief of Journal of Software: Practice and Experience, which was established ~50 years ago. For further information on Dr. Buyya, please visit his cyberhome: www.buyya.com

Kuan-Ching Li is a Distinguished Professor in the Dept of Computer Science and Information Engineering (CSIE) at Providence University, Taiwan, where he also serves as the Director of the High-Performance Computing and Networking Center. He is the Editor in Chief of the Connection Science (Taylor & Francis) and serves asan associate editor for several leading journals. Also, he has been actively involved, in a variety of capacities, in the organization of many national and international conferences. He published more than 300 scientific papers and articles and is co-author, or co-editor of more than 25 books published by leading publishers. His research interests include parallel and distributed computing, Big Data, and emerging technologies. Professor Li is a Fellow of IET and a senior member of the IEEE.

 

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