Intelligent Computing and Applications

This book presents the peer-reviewed proceedings of the 5th International Conference on Intelligent Computing and Applications (ICICA 2019), held in Ghaziabad, India, on December 68, 2019. The contributions reflect the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.

Covers the latest advances in computational intelligence techniques Shares practical insights into new computational methodologies Will benefit engineering professionals and scholars alike

Autorentext

Prof. Subhransu Sekhar Dash is currently a Professor at the Department of Electrical and Electronics Engineering, SRM Engineering College, SRM University, Chennai, India. Holding a Ph.D. from the College of Engineering, Guindy, Anna University, Chennai, India, he has more than 20 years of research and teaching experience. His research interests include power electronics and drives, modeling of FACTS controllers, power quality, power system stability, and smart grids. He is a Visiting Professor at Francois Rabelais University, POLYTECH, France; the Chief Editor of the International Journal of Advanced Electrical and Computer Engineering; and an Associate Editor of IJRER. He has published more than 200 research articles in peer-reviewed international journals and conference proceedings.

Prof. Swagatam Das received his B.E. Tel. E., M.E. Tel. E (Control Engineering specialization) and Ph.D. degrees from Jadavpur University, India, in 2003, 2005, and 2009, respectively. He is currently serving as an Associate Professor at the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India. His research interests include evolutionary computing, pattern recognition, multi-agent systems, and wireless communication. Dr. Das has published one research monograph, one edited volume, and more than 200 research articles in peer-reviewed journals and international conference proceedings. He is the Founding Co-Editor-in-Chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as an Associate Editor of IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Computational Intelligence Magazine, IEEE Access, Neurocomputing (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), and Information Sciences (Elsevier). He is also an editorial board member for many journals. He has been associated with the international program committees andorganizing committees of several regular international conferences including IEEE CEC, IEEE SSCI, SEAL, GECCO, and SEMCCO. He is the recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE).

Prof. B.K. Panigrahi is a Professor at the Indian Institute of Technology, Delhi, India. Holding a Ph.D. from Sambalpur University, his research interests include power quality, FACTS devices, power system protection, and AI applications to power systems.

Klappentext

This book presents the peer-reviewed proceedings of the 5th International Conference on Intelligent Computing and Applications (ICICA 2019), held in Ghaziabad, India, on December 6 8, 2019. The contributions reflect the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.

Inhalt

Performance analysis of Smart meters for enabling a new era for power and utilities with Securing data transmission and distribution using End to End Encryption (E2EE) in Smart Grid.- Energy Efficient Data Center Selection Using Service Broker Policy.- Analyses on Architectural and Download Behavior of Xunlei.- Application of Artificial Intelligence based Solution Methodology in Generation Scheduling Problem.- Design of Lyapunov Based Discrete Time Adaptive Sliding Mode Control for Slip Control of Hybrid Electric Vehicle.- Intelligent Monitoring of Bearings using Node MCU Module.- Digital Image Forensics- Image Verification Techniques.- A hybrid search group algorithm & pattern search optimized PIDA controller for automatic generation control of interconnected power system.- Blockchain Technology for Data Sharing in Decentralized Storage System.- Use of RNN in Devangari Script.- An Anonymization Approach for Dynamic Dataset with Multiple Sensitive Attributes.