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The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases

  • 1st Edition, Volume 117 - January 28, 2020
  • Latest edition
  • Editors: Pethuru Raj, Preetha Evangeline David
  • Language: English

The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverag… Read more

Description

The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, Volume 117, the latest volume in the Advances in Computers series, presents detailed coverage of new advancements in computer hardware, software, theory, design and applications. Chapters vividly illustrate how the emerging discipline of digital twin is strategically contributing to various digital transformation initiatives. Specific chapters cover Demystifying the Digital Twin Paradigm, Digital Twin Technology for "Smarter Manufacturing", The Fog Computing/ Edge Computing to leverage Digital Twin, The industry use cases for the Digital Twin idea, Enabling Digital Twin at the Edge, The Industrial Internet of Things (IIOT), and much more.

Key features

  • Provides in-depth descriptions of digital transformation technologies and tools
  • Covers various research accomplishments in this flourishing field of relevance
  • Includes many detailed industry use cases with all the right information

Readership

Data scientists, artificial intelligence (AI) researchers, big data analytics (BDA) architects, IoT experts, IT professionals

Table of contents

1. Stepping into the digitally instrumented and interconnected era
Pethuru Raj and Jenn-Wei Lin

2. Digital twin technology for "smart manufacturing"
Preetha David and Anandhakumar

3. The fog computing/edge computing to leverage digital twin
J. Pushpa and Kalayani

4. The industry use cases for the Digital Twin idea
Peter Augustine

5. Digital twin: Empowering edge devices to be intelligent
Vidya Hungud and Senthil Kumar Arunachalam

6. The industrial internet of things (IIoT)
Sathyan Munirathinam

7. The growing role of integrated and insightful big and real-time data analytics platforms
Indrakumari Ranganathan, Poongodi Thangamuthu, Suresh Palanimuthu and Balamurugan Balusamy

8. Air pollution control model using machine learning and IoT techniques
Chetan Shetty, B.J. Sowmya, S. Seema and K.G. Srinivasa

9. The human body: A digital twin of the cyber physical systems
Janet Barnabas and Pethuru Raj

10. Impact of cloud security in digital twin
Susila Nagarajan, Sruthi Anand and Usha Sakthivel

11. Digital twin in consumer choice modeling
D. Sudaroli Vijayakumar

12. Digital twin: The industry use cases
Pethuru Raj and Chellammal Surianarayanan

13. Machine learning and deep learning algorithms on the Industrial Internet of Things (IIOT)
P. Ambika

14. Energy-efficient edge based real-time healthcare support system
S. Abirami and P. Chitra

Product details

  • Edition: 1
  • Latest edition
  • Volume: 117
  • Published: January 28, 2020
  • Language: English

About the editors

PR

Pethuru Raj

Pethuru Raj PhD works as chief architect and vice president of site reliability engineering (SRE) division of Reliance Jio Infocomm. Ltd. Bangalore. Previously he worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), Bangalore. He worked as a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch, India. He has gained more than 18 years of IT industry experience. He finished the CSIR-sponsored PhD degree in Anna University, Chennai and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation, Indian Institute of Science, Bangalore. Thereafter, he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has authored and edited 18 books thus far and he focuses on some of the emerging technologies such as Containerized Clouds; Big, Fast, and Streaming Data Analytics; Microservices architecture (MSA); Machine and Deep Learning Algorithms; Blockchain Technology; The Internet of Things; and Edge Computing. He has published more than 30 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc.
Affiliations and expertise
Reliance Jio Platforms Ltd.. (RJIL), Bangalore, India

PD

Preetha Evangeline David

Dr. Preetha Evangeline David is currently working as an Associate Professor and Head of the Department in the Department of Artificial Intelligence and Machine Learning at Chennai Institute of Technology, Chennai, India. She holds a PhD from Anna University, Chennai in the area of Cloud Computing. She has published many research papers and Patents focusing on Artificial Intelligence, Digital Twin Technology, High Performance Computing, Computational Intelligence and Data Structures. She is currently working on Multi-disciplinary areas in collaboration with other technologies to solve socially relevant challenges and provide solutions to human problems.
Affiliations and expertise
Associate Professor and Head of the Department in the Department of Artificial Intelligence and Machine Learning at Chennai Institute of Technology, Chennai, India.

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