Internet of Things and Big Data Analytics-Based Manufacturing
CRC Press (Verlag)
978-1-032-66671-6 (ISBN)
By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven strategies and deal with the pressure of international competition thanks to Industrial IoT. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data.
Internet of Things and Big Data Analytics-Based Manufacturing shows how Industrial Big Data can be produced as a result of IoT usage in manufacturing, considering sensing systems and mobile devices. Different IoT applications that have been developed are demonstrated and it is shown how genuine industrial data can be produced, leading to Industrial Big Data. This book is organized into four sections discussing IoT and technology, the future of Big Data, algorithms, and case studies demonstrating the use of IoT and Big Data in a variety of industries, including automation, industrial manufacturing, and healthcare.
This reference title brings all related technologies into a single source so that researchers, undergraduate and postgraduate students, academicians, and those in the industry can easily understand the topic and further their knowledge.
Arun Kumar Rana completed his B. Tech degree from Kurukshetra University, M. Tech., and his Ph.D. from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His areas of interest include Image Processing, Wireless Sensor networks, the Internet of Things, AI, and Machine Learning and Embedded Systems. Prof. Rana is currently working as an Assistant Professor 3 at Galgotias College of Engineering and Technology, Greater Noida, India with more than 16 years of experience. He is a collaborative researcher and has published 25 SCI Papers (6 submitted), 30 SCOPUS papers, 25 chapters, and 30 papers in national and international conferences. He has also published 10 books with national and international publishers such as Taylor and Francis. Sudeshna Chakraborty has over 18 years of experience in academic and industry-academia interface processes including teaching UG, PG, and Ph.D. scholars with the role of Exam Dep. Supervisor. He has a total of 18 national and international patents published and 2 filed. He has published in over 50 national and international journals and conferences and received the Outstanding Academician Award 2020, the Research Excellence Award, and the Academician’s Award from the Institute of Scholars 2021. He also received the 2022 Best Speaker Award on Roles and Trends of Engineers on Engineering by the Institute of Engineers of India. Pallavi Goel is currently working as a professor at the CSE Department Faculty of Engineering and Technology. Dr. Goel leads various departmental level roles, including Industry collaboration and government-funded project, and oversees IPR For Galgotias College of Engineering and Technology, Greater Noida, India. Dr. Goel worked as an Associate Professor, at the CSE Department Faculty of Engineering and Technology, and international research collaboration coordinator for ManavRachna International Institute of Research and Studies Surajkund Delhi. She worked for 9 years for the School of Computing Science and Engineering at Galgotias University. Sumit Kumar Rana has completed his B. Tech degree from Kurukshetra University, M. Tech., and Ph.D. from Maharishi Markandeshwar (Deemed to be University), Mullana, India. His area of interest includes blockchain technology, cryptography, cryptocurrency, artificial intelligence, etc. Prof. Sumit Kumar Rana is currently working as an Assistant Professor at Panipat Institute of Engineering and Technology, Panipat, India with more than 12 years of experience and is a collaborative researcher. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. AE is Adjunct Professor at School of Technology, Woxsen University, India. Dr. AE is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. AE is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. He has more than 150 scientific research papers published in prestigious international journals and over 35 books covering diverse topics such as data mining, intelligent systems, social networks, and smart environment. Dr. AE is a collaborative researcher and a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. He is an Editor and Reviewer of many international journals around the world. Dr. AE won several awards including the Young Researcher in Computer Science Engineering, from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India. Also, he awards the Best Young Researcher Award (Male) (Below 40 years), Global Education and Corporate Leadership Awards (GECL-2018).
Section 1: IoT and Technology. 1. IoT-Based Work Monitoring: The Future of Productivity. 2. Harnessing the Power of IoT and Big Data: Advancements and Applications in Smart Environments. 3. Internet of Things Architecture's Importance in Healthcare Management. 4. Blockchain-Enabled Data Security and Integrity in IoT-Big Data Systems for Smart Cities. Section 2: The Future of Big Data. 5. Impact of Big Data & Internet of Things in Manufacturing: Next Level of Revolution. 6. Application of Artificial Intelligence-Based Digital Asset Management in Healthcare Ecosystem. 7. Role of IoT and Big Data in Evolving Smartness in Manufacturing and Lifestyle. 8. Big Data Architecture for IoT. Section 3: Algorithms. 9. Enhanced Cryptography and Communication Scheme Using Dynamic Cipher for IoT. 10. Smart Cities Unveiled: The AI Revolution in Urban Development. 11. A Backstepping Neural Network-Based Manufacture and Leader-Follower Formation Control of Multiple Autonomous Underwater Vehicles. 12. Research Applications in Healthcare with Machine Learning Approaches. Section 4: Case Studies/Uses of IoT and Big Data in Different Domains. 13. Enhancing Security, Privacy, and Predictive Maintenance through IoT and Big Data Integration. 14. Application of Artificial Intelligence in the Diagnosis and Treatment of Cancer: A Comprehensive Review. 15. Internet of Vehicles (IoV): Transforming Transportation through Connectivity, Big Data, and Security. 16. A Secure, Scalable, and Integrated Smart Platform for Teaching and Coding.
| Erscheinungsdatum | 18.09.2024 |
|---|---|
| Reihe/Serie | Intelligent Manufacturing and Industrial Engineering |
| Zusatzinfo | 9 Tables, black and white; 68 Line drawings, black and white; 10 Halftones, black and white; 78 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 689 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Recht / Steuern ► Privatrecht / Bürgerliches Recht ► IT-Recht | |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 1-032-66671-4 / 1032666714 |
| ISBN-13 | 978-1-032-66671-6 / 9781032666716 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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