Handbook on Industrial and Business Applications with Digital Twins

A digital twin represents the indistinguishable digital counterpart of the physical object to simulate, monitor and test with real time synchronization. This book presents the framework and important key aspects of digital twins, including various technologies with coverage of the digital twins in various industry and business applications. It provides a background of modeling and simulation, computer sensor technology and other areas required creating the next wave of digital twins.

Features:

• Presents exclusive material on industrial and business applications of digital twins
• Includes diversified digital twin applications with use cases
• Focuses on tools and methods for digital twins, platforms, application domains and industries
• Emphasizes advances and cutting-edge technologies throughout
• Reviews artificial intelligence (AI), fog/edge computing, industrial automation, blockchains and the Internet of Things (IoT)

This book is aimed at researchers and graduate students in cloud computing, simulation, the IoT and computer engineering.

Saravanan Krishnan, is working as an Associate Professor, Department of Computer Science & Engineering at College of Engineering, Guindy, Anna University, Chennai-25, Tamilnadu. He has done M.E Software Engineering and Ph.D in Computer Science engineering. His research interest includes Cloud Computing, Software Engineering, Internet of Things, Smart cities. He has published papers in 14 international conferences and 30 international journals. He has also written 16 book chapters and edited eight books with international publishers. He has done many consultancy works for Municipal Corporation and Smart City schemes. He is an active researcher and academician. He is also reviewer for many reputed journals. He is a member of ISTE, IEI, ISCA, ACM, etc.

A. Jose Anand, is working as Professor, Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, Tamil Nadu. He has one year of industrial experience and twenty-four years of teaching experience. He presented several papers in National Conferences and International Conferences. He published several papers in National Journal and International Journal, and also published books for polytechnic & engineering subjects. He is a Member of CSI, IEI, IET, IETE, ISTE, INS, QCFI and EWB. His current research interest is on Wireless Sensor Networks, Embedded systems, IoT, Machine Learning and Image Processing, etc.

S. Sendhilkumar is a Professor in Department of Information Science and Technology, CEG, Anna University with 18 years of teaching experience in the areas of Data Mining, Machine Learning, Data Science and Social Network Analytics. His research interests include personalized information retrieval, Bibliometrics and social network mining. He has authored the book titled ＂Concepts, Techniques and Applications＂. He is recipient of CTS Best Faculty Award for the year 2018 and awarded with Visvesvaraya Young Faculty Research Fellowship by Ministry of Electronics and Information Technology (MeitY), Government of India for 2019-2021. He has authored/co-authored textbooks on Fundamentals of Computing and Machine Learning. He has developed e-content (40 modules with all four quadrants) for the course on Data Analytics for the E-Pathsala project of MHRD-UGC under its national mission on education through ICT. He has delivered Live cast lecture series Edusat Programme on Artificial Intelligence for the Engineering colleges affiliated to Anna University.