1st Edition
Handbook on Industrial and Business Applications with Digital Twins
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 gives the background in 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.
- Focusses on Tools and methods for Digital twin, platforms and application domain & industries.
- Emphasizes the advances and cutting-edge technologies throughout.
- Reviews Artificial Intelligence, fog/edge computing, industrial automation, blockchain and IoT.
This book is aimed at researchers and graduate students in Cloud Computing, Simulation, and IoT including computer engineering.
Part 1 - Concepts and Architecture
Chapter 1: A Perspective on Digital Twins as an Emerging Technology
Ana Carolina Borges Monteiro, Rodrigo Bonacin, Reinaldo Padilha França
Chapter 2: Architecture of Digital Twin and Applications
Ch. Venkata Krishna Reddy, Sumanth Ratna Kandavalli, M.Sundar Raj, R.Amutha kkannan, J. Baskaran, Mayakannan Selvaraju, Jose Anand A.
Chapter 3: Unlocking Business Potential with Human Digital Twins: A Journey Towards Human-Centricity, Sustainability, and Resilience
Riyaz Abdullah Sheikh
Chapter 4: Digital Platforms for Business Applications
R.Jeyabharath, Sumanth Ratna Kandavalli, Shrinwantu Raha, Saptarshi Mukherjee, Abhinav Singhal, S.Mayakannan, Jose Anand A.
Part 2 – Technologies
Chapter 5: Digital Twin and Artificial Intelligence
Priya Singh, SankataTiwari
Chapter 6: Blockchain Empowered Digital Twins: A Comprehensive Review of Integration and Innovation
Naveen kumar J, Narayanan Prasanth, Joshva Devadas T, K.Saravanan, Saurabh Saoji, Shrikant Jadhav
Chapter 7: Big Data and Digital Twin
Sayed Abdulhayan, Senan Ali Abd
Chapter 8: Unlocking Value: Big Data, Digital Twins, exploring the future Digital Transformation and its Trends
G. ArunSampaul Thomas, S. Muthukaruppasamy, J. NandhaGopal, K. Saravanan
Part 3 - Applications
Chapter 9: Digital Twin in Industry 4.0 Automation
Elif Cesur, Muhammet Raşit Cesur, Elif Alptekin
Chapter 10: Leveraging Digital Twins for Optimal Automation and Smart Decision-Making in Industry 4.0: Revolutionizing Automation and Efficiency
Anita Mohanty, Ambarish G. Mohapatra, Subrat Kumar Mohanty, Nitaigour Premchand Mahalik, Jose Anand A.
Chapter 11: Digital Twin for Smart Manufacturing
Elif Cesur, Muhammet Raşit Cesur, Elif Alptekin
Chapter 12: Digital Twin for an Irrigation System
R. Parvathi,Rajkumar Jhapte, M.Sucharitha, Soorya M. Nair, V. T. Krishnaprasath
Chapter 13: Diagnostics, Treatment, and Patient Care in the Age of Digital Twins: A Game-Changer in Healthcare
S.Muthukaruppasamy, ArunSampaul Thomas, Nandha Gopal J., A. Jose Anand, E. Parimalasundar
Part 4 - Case Study and Challenges
Chapter 14: Digital Twin in Industry 5.0: Some Challenges and Future Directions
Anupama, Geeta Rani
Chapter 15: Researching Trends on Smart Tourism Technology using Bibliometric Analysis
Duong Thanh Tung, Nguyen ThiBich Ngoc
Chapter 16: Customised Cancer Care using Digital Twins - The Case of Breast Cancer in Women
Ananya Chenat, Divya S.
Chapter 17: Digital Twin in Water Utilization: A Case Study to Estimate the Prediction of Water Usage
E.B.Priyanka, S.Thangavel, SK Devatharanai, Jose Anand A., K. Saravanan
Biography
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.
