Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems: Iciccs 2021

ISBN-13: 9789811673290 / Angielski / Miękka / 2022 / 1096 str.

A. Pasumpon Pandian; Ram Palanisamy; M. Narayanan

Spis treści

Review of Metaheuristic Optimization Technique for Tumor Detection from Brain MR Images.- An Adafruit Cloud Based Health Monitoring Device Using IoT Technology.- Raspberry Pi based spy robot with Facial Recognition.- Reconstruction of Partial Gait Cycle and Identification.- Syntactical Parsing of Kannada Text based on CYK Algorithm.

O autorze

Pasumpon Pandian Arasu received his Ph.D. degree in the Faculty of Information and Communication Engineering under Anna University, Chennai, TN, India in 2013. He received his graduation and post-graduation degree in Computer Science and Engineering from PSG College of Technology, Coimbatore, TN, India in the year 1993 and 2006 respectively. He is currently working as Professor in the Computer Science and Engineering department of KGiSL Institute of Technology, Coimbatore, TN, India He has twenty six years of experience in Teaching, Research and IT industry. He has published more than 20 research articles in Referred journals. He acted as a conference chair in IEEE and Springer conferences and guest editor in computers and electrical engineering (Elsevier), soft computing (Springer) and International Journal of Intelligent Enterprise (Inderscience) Journals. His research interest includes, Image Processing and Coding, Image Fusion, Soft Computing and Swarm Intelligence.

Prof. Ram Palanisamy is a Professor of Enterprise Systems in the Business Administration Department at the Gerald Schwartz School of Business, St. Francis Xavier University. Dr. Palanisamy teaches courses on Foundations of Business Information Technology, Enterprise Systems using SAP, Systems Analysis and Design, SAP Implementation, Database Management Systems, and Electronic Business (Mobile Commerce). Before joining StFX, he taught courses in Management at the Wayne State University (Detroit, USA), Universiti Telekom (Malaysia) and National Institute of Technology (NITT), Deemed University, India. His research interest Enterprise Systems (ES) implementation; ES acquisition; ES Flexibility, ES Success; knowledge management systems; Healthcare Inter-professional Collaboration.

Dr. M.NARAYANAN blends a background in computer science and engineering with high research acumen. Presently working as Professor, HOD, DEAN IQAC, Department of CSE, Malla Reddy College of Engineering, Hyderabad, Telangana. Born on 25th December 1982 to a humble farmer family from Bommidi, Dharmapuri district in Tamil Nadu. Completed SSLC and HSC from government school and continued to pursue higher education. In 2006 he received B.E degree in Computer Science and Engineering from Adhiyamaan College of Engineering affiliated to Anna University Chennai, Tamil Nadu. In 2010, and added another feather to his cap by completing M.E in Computer Science and Engineering from Sathyabama University, Chennai, Tamil Nadu with distinction.

Tomonobu Senjyu was born in Saga, Japan, in 1963. He received the B.S. and M.S. degrees in electrical engineering from the University of the Ryukyus, Nishihara, Japan, in 1986 and 1988, respectively, and the Ph.D. degree in electrical engineering from Nagoya University, Nagoya, Japan, in 1994. He is currently a Full Professor with the Department of Electrical and Electronics Engineering, University of the Ryukyus. His research interests are in the areas of renewable energy, power system optimization and operation, power electronics, optimization techniques, neural network, fuzzy systems, artificial intelligence and internet of things.

Blurb

This book is a collection of papers presented at the International Conference on Intelligent Computing, Information and Control Systems (ICICCS 2021). It encompasses various research works that help to develop and advance the next-generation intelligent computing and control systems. The book integrates the computational intelligence and intelligent control systems to provide a powerful methodology for a wide range of data analytics issues in industries and societal applications. The book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies. This book is pragmatic for researchers, academicians and students dealing with mathematically intransigent problems.