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020 _a9789813349254
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024 7 _a10.1007/978-981-33-4925-4
_2doi
050 4 _aTK5105.8857
072 7 _aUT
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aUT
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082 0 4 _a004.678
_223
100 1 _aLiu, Hui.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_947444
245 1 0 _aSmart Device Recognition
_h[electronic resource] :
_bUbiquitous Electric Internet of Things /
_cby Hui Liu, Chengming Yu, Haiping Wu.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXV, 294 p. 168 illus., 107 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Smart non-intrusive device recognition based on physical methods -- Smart non-intrusive device recognition based on intelligent single-label classification methods.-Smart non-intrusive device recognition based on intelligent multi-label classification methods.
520 _aThe book is the first international reference on the field of smart device recognition and Ubiquitous Electric Internet of Things (UEIOT). It presents a range of state-of-the-art key methods and applications for smart device recognition. In future smart environments, obtaining energy consumption information for identifying every device is an effective approach to guarantee the energy efficiency of smart industrial systems. Such as, the Ubiquitous Electric Internet of Things (UEIOT) technology represents one of the most effective measures for electricity and energy management and has attracted considerable attention from scientists and engineers around the world. The realization of smart device recognition in the UEIOT framework has become the core and basis of UEIOT’s success. The device smart recognition can help governments and managers to distribute energy and power better, and help device manufacturers to improve their products regarding smart energy conservation. Accordingly, in the future smart industry, implementing smart device recognition is desired and very important. In the book, several methods, strategies, and experiments for achieving smart device recognition are presented in details. As the first monograph in the field of smart device recognition, the book can provide beneficial reference for students, engineers, scientists, and managers in the fields of power, energy, electromechanical devices, smart cities, artificial intelligence, etc. .
650 0 _aInternet of things.
_94027
650 0 _aArtificial intelligence.
_93407
650 0 _aComputational intelligence.
_97716
650 1 4 _aInternet of Things.
_94027
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputational Intelligence.
_97716
700 1 _aYu, Chengming.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_947445
700 1 _aWu, Haiping.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_947446
710 2 _aSpringerLink (Online service)
_947447
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789813349247
776 0 8 _iPrinted edition:
_z9789813349261
776 0 8 _iPrinted edition:
_z9789813349278
856 4 0 _uhttps://doi.org/10.1007/978-981-33-4925-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78041
_d78041