The book presents innovative scientific research works by academics, research scholars and students, presented at the 2017 International Conference on Energy, Materials and Information Technology at Amity University Jharkhand, India. It includes contributions on system solutions based on soft computing techniques, and covers innovative soft computing techniques and tools with advanced applications. A major focus of the book is on presenting interdisciplinary problems and how they can be solved using information technology, together with innovative connections to other disciplines. It also…mehr
The book presents innovative scientific research works by academics, research scholars and students, presented at the 2017 International Conference on Energy, Materials and Information Technology at Amity University Jharkhand, India. It includes contributions on system solutions based on soft computing techniques, and covers innovative soft computing techniques and tools with advanced applications. A major focus of the book is on presenting interdisciplinary problems and how they can be solved using information technology, together with innovative connections to other disciplines. It also includes papers on cloud computing and WSN-related real-time research.
Jayeeta Chattopadhyay received her Master of Science in Chemistry from Devi Ahilya University, Indore (2003) and her Master of Technology in Fuels and Combustion from Birla Institute of Technology, Mesra, Ranchi (2005). She subsequently completed her Ph.D. in New Energy Engineering with the best doctoral thesis award from Seoul National University of Science and Technology, South Korea (2010). She received the prestigious Fast Track Young Scientist award from the Department of Science and Technology, Government of India (2010). She has published more than 20 research and review articles in high-impact peer-reviewed international journals, and holds one international patent. Her research interests include nano-structured materials for energy applications, and thermo-degradation of solid waste materials. She also works on oscillatory chemical reactions and pattern formation in reaction-diffusion systems. She is presently working at Amity University, Ranchi, Jharkhand, India. Rahul is an Assistant Professor at the Mechanical Engineering department of Amity University, Rachi, India. He received his B.E. in Mechanical Engineering from BIT Durg and his M.E. in Machine Design from BIT Mesra, Ranchi. He is presently pursuing a Ph.D. in Mechanical Engineering at NIT Patna. Rahul's areas of interest are fluid mechanics, engineering mechanics, engineering thermodynamics, strength of materials, finite element methods, and machine design. He has authored 3 books. Vandana Bhattacherjee is a Professor and Head of the Department of Computer Science & Engineering at Birla Institute of Technology, Mesra, Ranchi, India. Dr. Bhattacherjee has 16 years of research and 16 years of teaching experience. Her current research areas are object-oriented software metrics, soft computing, software cost estimation, process models, data mining and machine learning. She has been on the reviewer panel of the Journal of Computing and Information Technology, International Journal of Software Engineering and Knowledge Engineering, International Journal of Computers and Applications and Journal of Computer Science. She is a member of the IEEE Computer Society, Computer Society of India - Ranchi Chapter, and Indian Society for Technical Education. Dr. Bhattacherjee has several journal publications and 66 conference papers to her credit.
Inhaltsangabe
Chapter 1. Sinusoids and it's Orthogonality.- Chapter 2. A Case Study of Hindi-English Example Based Machine Translation.- Chapter 3. Comparative Study of Different Machine Learning Models for Breast Cancer Diagnosis.- Chapter 4. A PID Load Frequency Controller Design via Pole Placement and Approximate Frequency Response Matching. etc
Chapter 1. Sinusoids and it's Orthogonality.- Chapter 2. A Case Study of Hindi-English Example Based Machine Translation.- Chapter 3. Comparative Study of Different Machine Learning Models for Breast Cancer Diagnosis.- Chapter 4. A PID Load Frequency Controller Design via Pole Placement and Approximate Frequency Response Matching. etc
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