Information and Communication Technology for Intelligent Systems

This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fourth International Conference on Information and Communication Technology for Intelligent Systems, which was held in Ahmedabad, India. Divided into two volumes, the book discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

Presents recent research in the field of information and communication technologies Discusses the outcomes of ICTIS 2020, held in Ahmedabad, India Serves as a reference guide for researchers and practitioners in academia and industry

Autorentext

Dr. Tomonobu Senjyu received his B.S. and M.S. degrees in Electrical Engineering from the University of the Ryukyus in 1986 and 1988, respectively, and his Ph.D. degree in Electrical Engineering from Nagoya University in 1994. Since 1988, he has been with the Department of Electrical and Electronics Engineering, University of the Ryukyus, where he is currently a Professor. His research interests include stability of AC machines, power system optimization and operation, advanced control of electrical machines and power electronics. He is a member of the Institute of Electrical Engineers of Japan and IEEE.

Dr. Parikshit N. Mahalle holds a B.E. degree in CSE and an M.E. degree in Computer Engineering. He completed his Ph.D. at Aalborg University, Denmark. Currently, he is working as a Professor and Head of the Department of Computer Engineering at STES Smt. Kashibai Navale College of Engineering, Pune, India. He has over 18 years of teaching and research experience. Dr. Mahalle has published over 140 research articles and eight books, and has edited three books. He received the "Best Faculty Award" from STES and Cognizant Technologies Solutions.

Dr. Thinagaran Perumal received his B.Eng., M.Sc. and Ph.D. Smart Technologies and Robotics from Universiti Putra Malaysia in 2003, 2006 and 2011, respectively. Currently, he is an Associate Professor at Universiti Putra Malaysia. He is also Chairman of the TC16 IoT and Application WG National Standard Committee and Chair of IEEE Consumer Electronics Society Malaysia Chapter. Dr. Thinagaran Perumal is the recipient of 2014 IEEE Early Career Award from IEEE Consumer Electronics Society. His recent research activities include proactive architecture for IoT systems; development of the cognitive IoT frameworks for smart homes; and wearable devices for rehabilitation purposes.

Dr. Amit Joshi is currently the Director of the Global Knowledge Research Foundation. An entrepreneur & researcher, he holds B.Tech., M.Tech. and Ph.D. degrees. His current research focuses on cloud computing and cryptography. He is an active member of ACM, IEEE, CSI, AMIE, IACSIT, Singapore, IDES, ACEEE, NPA and several other professional societies. He is also the International Chair of InterYIT at the International Federation of Information Processing (IFIP, Austria ). He has published more than 50 research papers, edited 40 books and organized over 40 national and international conferences and workshops through ACM, Springer and IEEE across various countries including India, Thailand, Egypt and Europe.

Inhalt
Internet of Things: Challenges, Security Issues and Solutions.- Modeling and Performance Evaluation of Auction Model in Cloud Computing.- Framework for Resource Management in Cloud Compu-ting.- Unique Stego Key Generation From Finger Print Image In Image Steganography.- Self-powered IoT Based Design for Multi-Purpose Smart Poultry Farm.- Phrase based Statistical Machine Translation of Hindi Poetries into English.- A Smart Education Model for Future Learning and Teaching using IoT.- Internet of Things (IoT) Based Advanced Voting Machine System Enhanced Using Low Cost IoT Embedded Device and Cloud Platform.- IoT: SECURITY ISSUES AND CHALLENGES.- Coronary Artery Disease Prediction using Neural Network and Random Forest based Feature Selection.- A Collaborative Approach to Decision Making in Decentralized IoT Devices.