Smart IoT for Research and Industry / edited by Melody Moh, Kanta Prasad Sharma, Rashmi Agrawal, Vicente Garcia Diaz.
Series: (EAI/Springer Innovations in Communication and Computing, 2522-8609).Publisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XII, 212 páginas) : 75 ilustraciones, 60 ilustraciones a color.ISBN: 9783030714857.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | TK5105.8857 2022 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.09012273 |
Introduction -- IoT enabling Techniques for Real Time Navigation Approaches -- IoT services, Application & Standards -- Programming Framework for IoT -- IoT for Data Management over Web/Cloud -- IoT for Smart Home & Offices -- IoT for Retail & Supply Chain Management -- IoT for Smart Health & Challenges -- Smart Electricity & Energy Management -- IoT for innovative Agriculture prospective -- IoT for Automative Industrial Services and Applications -- Conclusion.
This book covers a variety of smart IoT applications for industry and research. For industry, the book is a guide for considering the real-time aspects of automation of application domains. The main topics covered in the industry section include real-time tracking and navigation, smart transport systems and application for GPS domains, modern electric grid control for the electricity industry, IoT prospectives for modern society, IoT for modern medical science, and IoT automation for Industry 4.0. The book then provides a summary of existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual reality, and cellular communications. The book pertains to researchers, outcome-based academic leaders, as well as industry leaders. Covers real-time problems for industry along with unique research methodologies for furthering the field; Includes authentic research datasets for simulated applications in IoT; Features topics such as IoT for retail and supply chain management, smart health, and smart electricity & energy management.
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