Technology Innovation Pillars for Industry 4.0
CRC Press (Verlag)
978-1-032-47839-5 (ISBN)
Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies discusses the latest innovations in the application of technologies to Industry 4.0 and the nine pillars and how they relate, support, and bridge the gap between the digital and physical worlds we now live in.
This book discusses each of the nine pillars and the roles they play in the rapid transformation of the design and operation, and offers applications and case studies supporting Industry 4.0 technologies. It presents the supply chain organizational activities utilizing cyber- physical systems architectures and talks about the advantages of intelligent manufacturing and the ability to proactively detect and respond to events, to improve quality and yield, reduce downtime, and lead to better overall equipment effectiveness among other advantages in smart factory operations.
This reference book provides a great resource for undergraduate and graduate students, industrial and manufacturing engineers, and engineers of related disciplines along with business professionals, explaining what the nine pillars are and how they relate to Industry 4.0 and smart factories.
Dr. Ahmed A. Elngar is an Associate Professor of Computer Science at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. As well as an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates, and an Adjunct Professor at the School of Technology, Woxsen University, India. He is the Founder and Head of the Scientific Innovation Research Group (SIRG) and the Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. Elngar has more than 106 scientific research papers published in prestigious international journals and over 25 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. Dr. AE is a collaborative researcher and is a member of the Egyptian Mathematical Society (EMS) and the International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, Artificial Intelligence, Big Data, Authentication, Cryptology, Healthcare Systems, and Automation Systems. He is an Editor and Reviewer of many international journals around the world, and he has won several awards including the Young Researcher in Computer Science Engineering, from Global Outreach Education Summit and Awards 2019, in Delhi, India. He also won the Best Young Researcher Award (Male) (Below 40 years), Global Education and Corporate Leadership Awards. Dr. N. Thillaiarasu currently is working as an Associate Professor at the School of Computing and Information Technology, REVA University, Bengaluru. He has served as an Assistant Professor at Galgotias University, Greater Noida, and has worked as an Assistant Professor in the Department of Computer Science and Engineering, SNS College of Engineering, Coimbatore. He obtained his B.E. in Computer Science and Engineering, from Selvam College of Technology and his M.E. in Software Engineering, from Anna University Regional Center, Coimbatore. He received his Ph.D. degree from Anna University, Chennai, and has published more than 25 research papers in refereed, Springer, and IEEE Xplore conferences. Dr. Thillaiarasu has organized several workshops, summer internships, and expert lectures for students and has worked as a session chair, conference steering committee member, editorial board member, and reviewer for Springer Journal and IEEE conferences. His areas of interest include Cloud Computing, Security, IoT, and Machine Learning. Dr. T. Saravanan graduated with a B.E degree in Computer Science and Engineering from Selvam College of Technology, Anna University, Chennai, he has an M.E degree in Network Engineering from Anna University Regional Center, Coimbatore, and a Ph.D. degree in Information and Communication Engineering from Anna University, Chennai, India. He has 10 years of teaching experience and has published many SCI papers, Scopus papers, book chapters, lecture notes, and Indian patents. His research interests include Computer Networks, Fuzzy logic, and Wireless Sensor Networks. Dr. Valentina E. Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 300 research papers in refereed journals and international conferences. Her research interests include Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, and Modeling and Simulation. She is the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and the International Journal of Computational Systems Engineering (IJCSysE). She is also a member of the Editorial Board of several national and international journals. Dr. Balas is the Director of the Intelligent Systems Research Centre and the Director of the Department of International Relations, Programs, and Projects at Aurel Vlaicu University of Arad. Dr. Balas has participated in many international conferences as an organizer, honorary chair, session chair, and member in Steering, Advisory, and on the international program committees.
1. Role of Artificial Intelligence in Telecommunication Systems: A Healthcare Perspective. 2. An Intelligent System Utilizing Bipolar Fuzzy Logic for Ensuring Semantic Interoperability and Privacy Preservation in Healthcare Systems. 3. Graph Optimizations in Neural Networks by ONNX Model. 7.Convolutional Neural Network Architecture for Accurate Plant Classification. 5. Big Data Visualizing with Augmented and Virtual Reality: Challenges and Research Agenda. 6. Mathematical Model for Service-Selection Optimization and Scheduling in Cloud Manufacturing Using Sub-Task Scheduling With Fuzzy Inference Rule. 7. Social Media Initiatives through IoT to Link the Bridge between Industrial Demands with Higher Education Millennial Students through Experience Learning. 8. Analyzing Consumer Product Feedback Dynamics with Confidence Intervals. 9. Amplifying the Effectiveness of a Learning Management System: Exploring the Impact of NEP-Compliant Curriculum Changes on Higher Education Institutions. 10. The Future of Immersive Experience: Exploring Metaverse Application Development Technologies and Tools.
| Erscheinungsdatum | 10.07.2024 |
|---|---|
| Reihe/Serie | Intelligent Manufacturing and Industrial Engineering |
| Zusatzinfo | 18 Tables, black and white; 80 Line drawings, black and white; 31 Halftones, black and white; 111 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 489 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Recht / Steuern ► Privatrecht / Bürgerliches Recht ► IT-Recht | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-032-47839-X / 103247839X |
| ISBN-13 | 978-1-032-47839-5 / 9781032478395 |
| Zustand | Neuware |
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