Cyber-Physical Systems
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Cyber-physical systems (CPS) are intelligent robotic systems that cleverly merge computing algorithms with physical operations, enabling state-of-the-art response systems by integrating the virtual and physical dimensions and enhancing efficiency, automation, and interconnectedness in sectors such as healthcare, transportation, manufacturing, and others. Keeping in view of the same, this new book, Cyber-Physical Systems: Applications, Challenges, and Research Directions, explores many facets of CPS in robotics and engineering. The volume presents a host of cutting-edge technologies and…mehr

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Produktbeschreibung
Cyber-physical systems (CPS) are intelligent robotic systems that cleverly merge computing algorithms with physical operations, enabling state-of-the-art response systems by integrating the virtual and physical dimensions and enhancing efficiency, automation, and interconnectedness in sectors such as healthcare, transportation, manufacturing, and others. Keeping in view of the same, this new book, Cyber-Physical Systems: Applications, Challenges, and Research Directions, explores many facets of CPS in robotics and engineering. The volume presents a host of cutting-edge technologies and approaches, with examples of real-world implementation, for CPS systems in industrial applications as well as in other sectors, such as transportation, gaming, medicine and healthcare, civil engineering and infrastructure, communications and internet security, library science, election integrity, music, etc., providing inspiration for new ideas for CPS applications. A chapter on the legal dimensions of accidental liability of autonomous vehicles is also included. Providing valuable insight into prospective avenues of investigation for the use of CPS, this volume serves as a valuable resource for researchers, practitioners, industry professionals and many others seeking a deeper understanding of the evolving realm of cyber-physical systems.
Autorenporträt
Rajanikanth Aluvalu, PhD, is a Senior Member of IEEE and Professor and Head of the Department of Information Technology at Chaitanya Bharathi Institute of Technology, Hyderabad, India. Formerly, he had held positions including Professor and Head, Department of Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad; and Vice-chair, Entrepreneurship and Startup Committee and Treasurer and Secretary, IEEE Computer Society, Hyderabad Section. He has more than 17 years of teaching experience. He organized various international conferences and delivered keynote addresses. He published more than 100 research papers in various peer-reviewed journals and conferences. He is a life member of International Society for Technology in Education and a member of Association for Computing Machinery and Machine Intelligence Research Labs (MIR Labs). He was a recipient of a Best Advisor Award from the IEEE Hyderabad Section and also received an Indo Universal Collaboration for Engineering Education (IUCEE) Faculty Fellow Award (2018). He is an editorial board member of the International Journal of Data Mining, Modelling and Management. He has edited various books with Springer, CRC Press, IGI Global, and De Gruyter Publishers and is a reviewer for several SCI- and Scopus-indexed journals. Samarjeet Borah, PhD, is currently working as Professor and Head in the Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), Sikkim, India. Dr. Borah has carried out various funded projects from AICTE (GoI), DST-CSRI (GoI) etc. He has organized various workshops and conferences at national and international levels. Dr. Borah is involved with various book volumes and journals of repute from Springer, IEEE, Inderscience, and IGI Global as editor or guest editor. He is the editor-in-chief of the book and proceedings series Research Notes on Computing and Communication Sciences, published by Apple Academic Press, USA. His areas of research are data mining, data science, and machine learning. Lalit Garg, PhD, is an Associate Professor in the Department of Computer Information Systems at the University of Malta, and an honorary Lecturer at the University of Liverpool, UK. He has also been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. He has supervised over 200 master's dissertations and DBA and PhD theses and has published over 150 publications in refereed journals and conferences, and he has also edited five books and holds 22 patents. His research interests are in business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, etc. He participates in many EU and locally funded projects, including a one-million-euro Erasmus+ Capacity-Building project in Higher Education (CBHE), titled Training for Medical education via innovative eTechnology. MediTec. He also received Malta Council of Science and Technology's Space Research funds. The University of Malta has awarded him the 2021-22 Research Excellence Award for exploring novel intelligent computing methods for healthcare requirements forecasting, allocation, and management (NICE-Healthcare).