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008 210715s2022 sz | s |||| 0|eng d
020 _a9783030714857
024 7 _a10.1007/978-3-030-71485-7
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
050 4 _aTK5105.8857
_b2022 EB
245 1 0 _aSmart IoT for Research and Industry
_cedited by Melody Moh, Kanta Prasad Sharma, Rashmi Agrawal, Vicente Garcia Diaz.
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XII, 212 páginas)
_b75 ilustraciones, 60 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aEAI/Springer Innovations in Communication and Computing
_x2522-8609
505 0 _aIntroduction -- 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.
520 _aThis 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.
776 0 8 _iPrinted edition:
_z9783030714840
776 0 8 _iPrinted edition:
_z9783030714864
776 0 8 _iPrinted edition:
_z9783030714871
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-71485-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Engineering_2022
999 _c395192
_d395192