
Industry 4.0 Interoperability, Analytics, Security, and Case Studies
Description
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Industry 4.0 Interoperability, Analytics, Security, and Case Studies provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas. Also discussed are interoperability, design, and implementation challenges.
Researchers, academicians, and those working in industry around the globe will find this book of interest.
FEATURES
Provides an understanding of the drivers and enablers of Industry 4.0
Includes real case studies of various applications for different fields
Discusses technologies such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas
Covers design, implementation challenges, and interoperability
Offers detailed knowledge on Industry 4.0 and its underlying technologies, research challenges, solutions, and case studies
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Persons
X. Mercilin Raajini is an Associate Professor in the Department of Electronics and Communication at Prince Shri Venkatesahwara Padmavathy Engineering College at Anna University, Chennai, India. She earned a PhD in enhanced routing techniques for energy management in wireless sensor networks at Anna University, India in 2016. She completed postgraduate work in power electronics and drives at Government College of Engineering, Tirunelveli at Anna University in 2007. She earned an undergraduate degree in electronics and communication at Noorul Islam College of Engineering, under MS University in 2001. She has 15 years of teaching and research experience. Her area of research interest includes wireless sensor networks and its IoT applications, signal processing, machine learning, and computational optimization. Her research contributions include 2 patents from India, 3 authored books, 2 edited books, and many published articles in international journals and at conferences. She also is a reviewer for reputed journals and conferences. She is an active member of ISTE, SAEINDIA, and the Society of Automotive Engineers.
Hien Dang earned a PhD in computer science in 2010. She is on the faculty at Computer Science and Engineering Faculty, Thuy Loi University, Vietnam. She is also a research scholar at the University of Massachusetts, Boston, USA. She is the author or coauthor of many books and has more than thirty papers in journals and conference contributions. Her research areas include artificial intelligence, machine learning, deep learning, problems about regressive prediction, Big Data analytics, and processing for practical applications.
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