Industry Automation: The Technologies, Platforms and Use Cases (eBook, PDF)

Redaktion: Raj, Pethuru; Singhal, Neha; Kumar, Ananth; Kumar, Abhishek

• Format: PDF

Produktbeschreibung

This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities.

All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition-enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity.

In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 436
• Erscheinungstermin: 23. August 2024
• Englisch
• ISBN-13: 9781040123638
• Artikelnr.: 70884341

Autorenporträt

Pethuru Raj PhD works as a chief architect at Reliance Jio Platforms Ltd. (JPL) Bangalore. Previously, he worked as cloud architect in the IBM global Cloud Center of Excellence (CoE), an enterprise architect in Wipro consulting services (WCS), and software architect in Robert Bosch Corporate Research (CR). In total, he has gained more than 22 years of IT industry experience and 8 years of research experience. He finished his CSIR-sponsored Ph.D. degree at Anna University, Chennai and continued with UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), 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. Dr. Abhishek Kumar is currently working as an Assistant Director/Associate Professor in the Computer science & Engineering Department in Chandigarh University, Punjab, India. He has a doctorate in computer science from University of Madras and is post-doctoral fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has total of more than 11 years of academic teaching experience along with 2 years of teaching assistantship. He has more than 100 publications in reputed, peer reviewed national and international journals, books & conferences. He has guided more than 30 M.Tech and M.S. Projects at national and international level and guided 6 Ph.D. Scholars at national and international Level. He is acting as Series Editor for three books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, and Sustainable Energy with Nova, USA. Dr. T. Ananth Kumar works as Associate Professor in IFET college of Engineering (Autonomous) affiliated to Anna University, Chennai. He received his Ph.D. degree in VLSI Design from Manonmaniam Sundaranar University, Tirunelveli. He received his master's degree in VLSI design from Anna University, Chennai and bachelor's degree in electronics and communication engineering from Anna University, Chennai. He has presented papers in various national and international conferences and journals. His fields of interest are networks on chips, computer architecture and ASIC design. He has received awards such as Young Innovator Award, Young Researcher Award, Class A Award - IIT Bombay and Best Paper Award at INCODS 2017. He is the life member of ISTE, IEEE and few membership bodies. He has many patents in various domains. He has edited four books and has written many book chapters for Springer, IET Press, and Taylor & Francis press. Dr. Neha Singhal has about 12 plus years of experience in teaching. She is presently working as an Associate Professor and HOD, Dept. of Information Science and Engineering at Rajarajeshwari College of Engineering. She obtained her Ph.D. Degree from VTU, Belgaum and M. Tech in computer science degree from Banasthali University, Rajasthan. Her teaching and research interests are in the field of web services. She is a professional member of ISTE and IEEE society. Dr. Singhal has published research papers in various Scopus-indexed and ESCI indexed journals. She has delivered technical talks and has been invited as a resource person to several colleges in Bangalore. She has authored a textbook on big data analytics. She received four government funded projects from various funding agencies during 2018 to 2020. She has received an "Appreciation Award" for her exemplary services at RRCE.

Inhaltsangabe

1. An Analytical Framework for the Industrial Internet of Things (IIoT):
Importance, Recent Challenges, and Enabling Technologies 2. Industry
Automation: The Contributions of Artificial Intelligence (AI) 3. Industry
Automation: The Contributions of Artificial Intelligence 4. Artificial
Intelligence (AI) Driven Industrial Automation 5. Quantum Machine and Deep
Learning Models for Industry Automation 6. The Contribution of Computer
Vision in the Manufacturing Industries and the Scope for Further Excellence
7. Waste Management 4.0: An Industry Automation Approach to the FutureWaste
Management System 8. Industrial Internet of Things (IIoT) for E-waste
Recycling System 9. A Multi-hazard Industry Assessment System Based on
Unmanned Aerial Vehicles (UAVs) for Bridges Crossing Seasonal Rivers 10.
Air Quality Prediction using Machine Learning Techniques for Intelligent
Monitoring Systems 11. Facial Emotion Classification for Industry
Automation using Convolutional Neural Networks 12. Automatic Hand Sanitizer
Dispenser by Industrial Automation using Arduino and Photodiode 13. Energy
Efficiency Investigation in Massive MIMO Communication for Industry
Automation using Precoding Schemes 14. Internet of Things and Cybersecurity
Mechanism for Industrial Automation Systems 15. Illustrating the
Mesmerizing Edge AI Journey for Industry Automation 16. Edge Computing and
Analytics: A New Computing Paradigm for Better User Experience