Intelligent Analytics for Industry 4.0 Applications

1. Auflage 2023
ISBN: 978-1-03-234241-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 312 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 517 g

The advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and artificial intelligence and machine learning, into their production facilities throughout their operations. In the past few years, intelligent analytics has emerged as a solution that examines both historical and real-time data to uncover performance insights. Because the amount of data that needs analysis is growing daily, advanced technologies are necessary to collect, arrange, and analyze incoming data. This approach enables businesses to detect valuable connections and trends and make decisions that boost overall performance. In Industry 4.0, intelligent analytics has a broader scope in terms of descriptive, predictive, and prescriptive subdomains. To this end, the book will aim to review and highlight the challenges faced by intelligent analytics in Industry 4.0 and present the recent developments done to address those challenges.

Zielgruppe

Postgraduate, Professional, and Undergraduate Advanced

Autoren/Hrsg.

Verma, Abhishek

Pandey, Avinash Chandra

Singh, Ashutosh Kumar

Rathor, Vijaypal Singh

Singh, Munesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Informationstechnik, IT-Industrie

Inhaltsverzeichnis

1. Analytics Approach for Intelligent Cyber-Physical System Integration in Industrial Internet of Things (Industry 4.0). 2. Digital twins – a state of the art from Industry 4.0 perspective. 3. Human-Centered Approach to Intelligent Analytics in Industry 4.0. 4. ADVANCE IN ROBOTICS INDUSTRY 4.0. 5. A Cloud-based Real-Time Healthcare Monitoring System for CVD Patients. 6. Assessment of fuzzy logic assessed recommender system: A critical critique. 7. Intelligent Analytics in Big Data and Cloud. 8. Various Audio Classification Models for Automatic Speaker Verification System in Industry 4.0. 9. Trending IoT Platforms on Middleware Layer. 10. Healthcare IoT: A Factual and Feasible Application of Industrial IoT. 11. IoT based Spacecraft Anti-Collision HUD Design Formulation. 12. Coverage of LoRaWAN in Vijayawada: A Practical Approach. 13. Intelligent Health Care Industry for Disease Detection. 14. Challenges with Industry 4.0 security. 15. Dodging Security Attacks and Data Leakage Prevention for Cloud and IoT Environments. 16. Role of Blockchain in Industry 4.0. 17. Blockchain and Bitcoin Security in Industry 4.0. 18. Technology in Industry 4.0. 19. Intelligent Analytics in Cyber Physical Systems. 20. An Overlook on Security Challenges in Industry 4.0.

Über Autor(innen)

Dr. Avinash Chandra Pandey (Member, IEEE) is currently working as Assistant Professor in the Discipline of Computer Science & Engineering at PDPM Indian Institute of Information Technology Design and Manufacturing, Jabalpur. He has more than 8 years of teaching and research experience. He has guided many M. Tech. dissertations and B. Tech. projects. He has published more than 20 journal and conference papers in the area of Text Mining, NLP, and Soft Computing. His research areas include Data Analytics, NLP, Social Network Analysis, IoT, Cyber-Physical Systems and Soft Computing.

Dr. Abhishek Verma is an Assistant Professor in the Department of Computer Science & Engineering at IIIT Jabalpur, India (an institution of national importance). He obtained Ph.D. degree (2020) on the Internet of Things security from the National Institute of Technology Kurukshetra, Haryana, India. He has more than seven years of experience in research and teaching. He has published several research articles in international SCI/SCIE/Scopus journals and conferences of high repute. He is an editorial board member of Research Reports on Computer Science (RRCS) and active review board member of various reputed journals, including IEEE, Springer, Wiley, and Elsevier. His current areas of interest include Information Security, Intrusion Detection, and the Internet of Things.

Dr. Vijaypal Singh Rathor did his M.Tech. from Maulana Azad National Institute of Technology, Bhopal, and Ph.D. from ABV-Indian Institute of Information Technology and Management Gwalior, India in 2014 and 2020 respectively. At present, he is working as an Assistant Professor in CSE Discipline at PDPM Indian Institute of Information Technology, Design and Manufacturing (IITDM), Jabalpur, India. Prior to joining IIITDM, he has worked as an Assistant Professor at Thapar Institute of Engineering and Technology, Patiala, India. He has also worked as an Assistant Professor in CSE Department at Bennett University, Greater Noida, India. Dr. Rathor has also received a grant as a Principal Investigator for the Project entitled "HT-Pred: A complete defensive machine learning tool for Hardware Trojan Detection" from the Data Security Council of India (DSCI). His research interests include Hardware Security, Trustworthy circuit design, hardware Trojan, Machine Learning, IoT and Cloud Computing.

Dr. Munesh Singh received the Ph.D. degree in Computer Science and Engineering from National Institute of Technology (NIT), Rourkela, India, in 2017. He has industrial experience of one year with the Honeywell Technology Solution Lab, Bangalore, India. He also has Academic experience with VIT University from 2017-2018 and with IIITDM Kancheepuram from 2018-2021. He is currently an Assistant Professor in PDPM Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Jabalpur, India. He has published 14 research articles in IEEE, Springer, and Elsevier journals. He works as a reviewer for Wiley, IEEE, and Springer. His research interests include Wireless Sensor Networks, Cloud Computing, Software Defined Networks, Industrial IoT, Embedded System and Robotics. He is a professional member in IAENG and IEEE.

Dr. Ashutosh Kumar Singh is working as a Professor and Head in the Department of Computer Applications, National Institute of Technology Kurukshetra, India. He has research and teaching experience in various Universities of the India, UK, and Malaysia. He received his PhD in Electronics Engineering from Indian Institute of Technology, BHU, India and Post Doc from Department of Computer Science, University of Bristol, UK. He is also Charted Engineer from UK. His research area includes Verification, Synthesis, Design and Testing of Digital Circuits, Data Science, Cloud Computing, Machine Learning, Security, Big Data. He has published more than 330 research papers in different journals, conferences and news magazines.