This book discusses Internet of Things (Io T) as it relates to enterprise applications, systems, and infrastructures. The authors discuss Io T and how it’s disrupting industries such as enterprise manufacturing, enterprise transportation, enterprise smart market, enterprise utilities, and enterprise healthcare. They cover how Io T in the enterprise will have a major impact on the lives of consumers and professionals around the world and how it will change the way we think about professional and consumer networks. The book’s topics include Io T enterprise system architecture, Io T enabling enterprise technologies, and Io T enterprise services and applications. Examples include enterprise on demand, market impacts, and implications on smart technologies, big data enterprise management, and future enterprise Internet design for various Io T use cases, such as share markets, healthcare, smart cities, smart environments, smart communications and smart homes.
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Inhaltsverzeichnis
Introduction.-Development of innovative enterprise architecture for internet of things.- Enterprise Io T modeling: supervised, unsupervised and reinforcement learning.- Internet of things evolutionary computation, Enterprise modeling and simulation.- Development of new Io T technologies for business intelligence and large-scale enterprise analysis.- Uncertainty modeling in big data analytics for Io T.- Providing solutions to pressing problems across areas including connected and autonomous vehicles, automation, healthcare, and enterprise security using Internet of things.- The management of enterprise in mobile transparent computing for internet of things.- Bridge developments in Artificial Intelligence to real enterprise applications in collaboration with Io T partners.- New generation of scientists to address the skills shortage in these areas and increase competitiveness.- Applications and services for enterprise systems such as Complex systems, multi-agent systems, game theory and statistics.- Advanced future perspective in enterprise for internet of things.- Conclusion.Über den Autor
Dr. Anandakumar Haldorai, Professor (Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India. He has received his Master’s in Software Engineering from PSG College of Technology, Coimbatore and Ph D in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 82 research papers in reputed International Journals and IEEE conferences. He has authored 7 books and many book chapters with reputed publishers such as Springer and IGI. He is editor of Inderscience IJISC and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member of IEEE, IET, ACM and Fellow member of EAI research group.Dr. Arulmurugan Ramu is a Professor, Presidency University, Bangalore, India. His research focuses on the automatic interpretation of images and related problems in machine learning and optimization. His main research interest is in vision, particularly high-level visual recognition. He has authored more than 35 papers in major computer vision and machine learning conferences and journals. He is the recipient of Ph.D. degrees in Information and Communication Engineering from the Anna University at Chennai, M.Tech in Information Technology Anna University of Technology and B.Tech degree in Information Technology. He is guided many Ph.D. research scholar under the area of Image Processing using Machine Learning. He is an Associate Editor of Inderscience IJISC journal. He is awarded as Best Young Faculty Award 2018 and nominated for Best Young Researcher Award (Male) by International Academic and Research Excellence Awards (IARE-2019).
Dr. Syed Abdul Rehman Khan is a Professor of Supply Chain and Logistics Management. Dr. Khan achieved his CSCP—Certified Supply Chain Professional certificate from the U.S.A. and successfully completed his Ph.D. in China. Since 2018, Dr. Khan has been affiliated with Tsinghua University as a postdoctoral researcher. He has more than nine years’ core experience of supply chain and logistics at industry and academic levels. He has attended several international conferences and also has been invited as keynote speaker in different countries. He has published more than 55 scientific research papers in different well-renowned international journals and conferences. He is a regular contributor to conferences and workshops around the world. In addition, Dr. Khan has achieved scientific innovation awards two times consecutively by the Education Department of Shaanxi Provincial Government, China. Also, Dr. Khan holds memberships inthe following well-renowned institutions and supply chain bodies/associations: APCIS-U.S.; Production and Operation Management Society, India; Council of Supply Chain Management of Professionals U.S.; Supply Chain Association of Pakistan; and Global Supply Chain Council China.
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Sprache Englisch ● Format PDF ● Seiten 289 ● ISBN 9783030444075 ● Dateigröße 9.5 MB ● Herausgeber Anandakumar Haldorai & Arulmurugan Ramu ● Verlag Springer International Publishing ● Ort Cham ● Land CH ● Erscheinungsjahr 2020 ● herunterladbar 24 Monate ● Währung EUR ● ID 7472515 ● Kopierschutz Soziales DRM
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