Soft Computing in Data Analytics: Proceedings of International Conference on Scda 2018

ISBN-13: 9789811305139 / Angielski / Miękka / 2018 / 859 str.

Janmenjoy Nayak; Ajith Abraham; B. Murali Krishna

Opis

The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing.

Spis treści

Preface.- Acknowledgements.- About the Editors.- Conference Organizing Committee.- Technical Reviewers.- Table of Contents.- 82 Chapters.- Author Index.

O autorze

Janmenjoy Nayak is working as an Associate Professor, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India. He has been awarded INSPIRE Research Fellowship from Department of Science & Technology, Govt. of India (both as JRF and SRF level) for doing his Doctoral Research in the Department of Computer Sc. Engineering & Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India. He completed his M.Tech. degree (Gold Medalist & Topper of the Batch) in Computer Science from  Fakir Mohan University, Balasore, Odisha, India and M. Sc. degree (Gold Medalist & Topper of the Batch) in Computer Science from Ravenshaw University, Cuttack, Odisha, India. He has published more than 50 research papers in various reputed peer reviewed International Conferences, Referred Journals and Book Chapters. He has also published one Text book on “Formal Languages and Automata Theory” in Vikash Publishing House Pvt. Ltd., which has been widely acclaimed throughout the country and abroad by the students of all levels. He has been serving as an active member of reviewer committee of various reputed peer reviewed journals such as IET Intelligent Transport Systems, Journal of Classification, Springer, International Journal of Computational System Engineering, International Journal of Swarm Intelligence, International Journal of Computational Science and Engineering, International Journal of Data Science etc. He is the life member of some of the reputed societies like CSI, India, OITS, OMS, IAENG (Hongkong) etc. His area of interest includes data mining, nature inspired algorithms and soft computing.

Ajith Abraham received the M.S. degree from Nanyang Technological University, Singapore, and the Ph.D. degree in Computer Science from Monash University, Melbourne, Australia. He is currently a Research Professor at the Technical University of Ostrava, Czech Republic. He is also the Director of Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, which has members from more than 75 countries. He serves/has served the editorial board of over 50 International journals and has also guest edited 40 special issues on various topics. He is an author/co-author of more than 700 publications and some of the works have also won best paper awards at international conferences and also received several citations. Some articles are available in the ScienceDirect Top 25 hottest articles. He serves the IEEE Computer Society’s Technical Committee on Scaleable Computing and was the General Chair of The 8th International Conference on Pervasive Intelligence and Computing (PICOM 2009) and 2nd International Conference on Multimedia Information Networking and Security (MINES 2010). He is also the General Co-chair of MINES 2011. Since 2008, he is the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. Dr. Abraham is a Senior Member of the IEEE, the IEEE Computer Society, the Institution of Engineering and Technology (UK) and the Institution of Engineers Australia (Australia), etc. He is the founder of several IEEE sponsored annual conferences, which are now anual events – Hybrid Intelligent Systems (HIS – 11 years); Intelligent Systems Design and Applications (ISDA – 11 years); Information Assurance and Security (IAS – 7 years); Next Generation Web Services Practices (NWeSP – 7 years), Computational Aspects of Social Networks (CASoN – 3 years), Soft Computing and Pattern Recognition (SoCPaR – 3 years), Nature and Biologically Inspired Computing (NaBIC – 3 years) are some examples.

B. Murali Krishna received his PhD from Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai in 2010; Post graduation from NIT Warangal, Graduation in Mechanical engineering from Institution of Engineers (India), Calcutta. He was fellow and life member of FIE, ISTE, IAENG, ISAET, IACSIT etc. His total research and teaching experience was 18 years at various positions: Engineer-R&D, Assistant Professor, Associate Professor, Professor, HoD, Professor and Principal; at present working for Sri Sivani College of Engineering, Srikakulam, AP, India as a Professor and Principal. Published more than 70 Research papers, Articles, Book chapters of reputed at national and international level (ASME, SAE, Springer, IEEE, AIP, JAFM, EBSCO International, Tata Mac-Graw Hills, Pearson etc). He has visited Paris and London for presenting research work. He has Awarded/Selected/Nominated for Best paper award for World congress on Engineering, London; Best Indian educationist and Bharat Excellence awards with gold medals received from honorable Governor of Sikkim, Indira Gandhi Gold medal award, National Award of Excellence, Indian Global Golden,  Sparkling Indian award,  Green ThinkerZ-Outstanding Researcher Award for his contribution in the relevant fields of engineering and service. Selected for AICTE-UKIERI Further Education Leadership Development Programme (FELDP) one among 50 shortlisted. He was Chairman and Advisory Board Member for several reputed conferences and technical events. Also, he received I2OR- Academic leadership award from NITTTR Chandigarh and IIT Bombay, MHRD, Govt of India in association with Green ThinkerZ Society, India.  His research interests include thermal Engineering-Internal Combustion Engines, Automobile pollution, CFD, In-cylinder Flow studies, Image processing, Alternate fuels, Renewable energies, Energy from Waste, Automobile Engineering etc.

G.T. Chandra Sekhar is working as Associate Professor & Head of the Department in the Electrical & Electronics Engineering, Sri Sivani College of Engineering, Chilakapalem, Srikakulam, Andhra Pradesh. He has received Bachelor and Master Degrees from JNTU, Hyderabad and JNTU, Kakinada, Andhra Pradesh respectively. He received his Doctoral degree in Electrical Engineering from Veer Surendra Sai University of Technology, Burla, Odisha, India. He has published more than 30 research papers in various International Journals and International/ National Conferences. He is the recipient of Best Young Researcher Electrical Engineering by ITSR Foundation Award-2017 and Young Leader in Engineering during the Higher Education Leadership Meet-HELM 2018 organized by Venus International Foundation. His research interests include soft computing application in power system Engineering. He has acted as a Member of Editorial / Reviewer Board of various international journals / conferences. Moreover, he has been serving as an active member of reviewer committee of various reputed peer reviewed journals such as IET Journals (GTD), Springer, International Journal of Computational System Engineering, International Journal of Swarm Intelligence, Elsevier, Taylor & Francis  etc. His research interests include soft computing application in power system Engineering, Power quality and FACTS devices. Dr. Chandra Sekhar is life member of ISTE and AMIE (India), IAENG (Hongkong), ISAET and Associate member of IRED.

Asit Kumar Das is currently an Associate Professor of Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, West Bengal, India. Dr. Das received the Ph.D. degree in Engineering from the Department of Computer Science and Technology, Bengal Engineering and Science University, Shibpur, Howrah. He teaches discrete structures, database management systems, design and analysis of algorithm, introduction to data mining, etc. His primary research interests are in the areas of data mining, bioinformatics, evolutionary algorithms, audio and video data analysis, text mining and social networks. 

Blurb

The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches.