Recent Trends and Best Practices in Industry 4.0

1. Auflage 2023
ISBN: 978-87-7022-805-3
Verlag: River Publishers

Buch, Englisch, 448 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 803 g

Reihe: River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering

Industry 4.0 is used interchangeably with the fourth industrial revolution and represents a new stage in the organization asnd control of the industrial value chain. Cyber-physical systems form the basis of industry 4.0 (e.g., 'smart machines'). They use modern control systems, have embedded software systems, can be addressed via IoT (the Internet of Things), and may use extensive data analytics and/or articifical inteligence systems to operate autonomously.

The aim of this book is to provide detailed insights into the state of art techniques in AI, IoT, Blockchain technology and associated technologies which play a vital role in the implementation of a successful project for upcoming and practicing engineers. Owing to its multidisciplinary nature, Industry 4.0 is not a single topic but a combination of a multitude of technologies from different domains. Keeping this in mind the book includes the following topics:

- Artificial intelligence

- Internet of things

- Blockchain technology

- Digital manufacturing

- Robotics

- Cybersecurity

The book will be a comprehensive guide to academicians and engineers who want to align with recent trends of fourth industrial revolution.

Zielgruppe

Postgraduate and Professional Practice & Development

Autoren/Hrsg.

Sharma, Abhinav

Jain, Arpit

Sharma, Paawan

Roy, Mohendra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Naturwissenschaften Physik Mechanik Energie

Inhaltsverzeichnis

1. Artificial Intelligent in the Digital Chemical Industry, Its Application and Sustainability 2. Managing Transition Towards Industry 4.0: A Study on the Implementation of Digital Manufacturing Processes 3. Container as a Service in Cloud: An Approach to Secure Hybrid Virtualization 4. Automated Framework for Detecting Unknown Activity in a Vehicular ad hoc Network 5. Control of a Mobile Manipulator with Object Detection for EOD Applications 6. Smart Agriculture: Emerging and Future Farming Technologies 7. Plant Feature Extraction for Disease Classification 8. Development Methodologies for Internet of Things: For all Commercial and Industrial Needs 9. Bio-inspired Multilevel ICHB-HEED Clustering protocol for Heterogeneous WSNs 10. IoT Enabled by Edge Computing for Telecomm and Industry 11. Low Energy Network Protocols 12. Consensus Algorithms in Blockchain for Efficient and Secure Network 13. Blockchain Protocols and Algorithms 14. Cybersecurity in Autonomous Driving Vehicles

Über Autor(innen)

Dr. Abhinav Sharma is presently working as an Assistant Professor (Selection Grade) in the department of Electrical & Electronics Engineering in University of Petroleum & Energy Studies (UPES). He received his B.Tech. degree from H.N.B. Garhwal University, Srinagar, India in 2009 and M.Tech. and Ph.D. degrees from Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India in 2011 and 2016. He has a rich teaching and diverse research experience. His research interests include signal processing and communication, smart antennas, artificial intelligence and machine learning. He has published research articles in SCI/Scopus indexed journals and in National and International conferences.

Dr. Arpit Jain is currently working as an AI Practitioner at QpiAI India Pvt. Ltd., India. Dr Jain is a multidisciplinary engineer having experience in machine learning, data science, control system and fuzzy logic systems with an excellent vision towards industry focused education and state of art consulting solutions, and is a seasoned academician having 12+ years of diverse experience in the academic, edtech and IT consulting domains. He has worked as Assistant Professor for 10 years at UPES India, a part of Global University System (GUS), Netherlands, and his research profile includes Indian patents, research articles in SCI/Scopus indexed journals, and edited books with IEEE, Emerald, River, CRC and many other reputed publishing houses. He received his B.Eng. degree from SVITS, Indore, in 2007 and M.Eng. from Thapar University, Patiala in 2009, and Ph.D. from UPES, India in 2018.

Dr. Paawan Sharma received his Ph.D. (Engineering) from Homi Bhabha National Institute, Mumbai, his M.Tech. (Communication Systems) from SVNIT, Surat and his B.Eng. (ECE) from University of Rajasthan, Jaipur. His research areas are multi-disciplinary in nature spanning applications/solution development in various domains such as signal processing, embedded systems, pattern recognition, machine vision, and artificial intelligence. He has five Indian patents (published) and more than 40 publications. He has guided/co-guided three Ph.D. scholars focusing on disaster management technology and smart grid analysis. He has also worked in Wipro Technologies in the VLSI domain. He is a Senior Member, IEEE, Member of ACM, ISSIA, and life member of IAPR.

Dr. Mohendra Roy received Ph.D. in Electronics and Information Engineering from Korea University, South Korea, his M.Tech in Bioelectronics from Tezpur Central University, and his M.Sc. in physics from Tezpur Central University. He was a postdoctoral fellow at Delta-NTU corporate Lab of Cyber Physical System of Nanyang Technological University, Singapore. His research area is artificial intelligence and its applications in various domains. He has been awarded with 13 National and International awards/recognitions, two patents, and has published more than 26 publications.