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

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

28.01.2020

Herausgeber

Pethuru Raj + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

386

Maße (L/B/H)

22,9/15,2/2,2 cm

Gewicht

685 g

Sprache

Englisch

ISBN

978-0-12-818756-2

Beschreibung

Portrait

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.

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.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

28.01.2020

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

386

Maße (L/B/H)

22,9/15,2/2,2 cm

Gewicht

685 g

Sprache

Englisch

ISBN

978-0-12-818756-2

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Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7|99095|Erfurt|DE
produktsicherheit@zeitfracht.de

Herstelleradresse

Elsevier Science & Technology
125 London Wall|EC2Y 5AS|London|GB
tradeorders@elsevier.com

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  • Produktbild: The Digital Twin Paradigm for Smarter Systems and Environments
  • Produktbild: The Digital Twin Paradigm for Smarter Systems and Environments
  • 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