LEADER 03465nam 22005655 450 001 9910483559403321 005 20251113211556.0 010 $a981-334-925-5 024 7 $a10.1007/978-981-33-4925-4 035 $a(CKB)5340000000066968 035 $a(DE-He213)978-981-33-4925-4 035 $a(MiAaPQ)EBC6424493 035 $a(PPN)252513592 035 $a(EXLCZ)995340000000066968 100 $a20201212d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSmart Device Recognition $eUbiquitous Electric Internet of Things /$fby Hui Liu, Chengming Yu, Haiping Wu 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (XV, 294 p. 168 illus., 107 illus. in color.) 311 08$a981-334-924-7 327 $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. 330 $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. . 606 $aInternet of things 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aInternet of Things 606 $aArtificial Intelligence 606 $aComputational Intelligence 615 0$aInternet of things. 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 14$aInternet of Things. 615 24$aArtificial Intelligence. 615 24$aComputational Intelligence. 676 $a004.678 700 $aLiu$b Hui$0274539 702 $aYu$b Chengming 702 $aWu$b Haiping 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483559403321 996 $aSmart device recognition$92846524 997 $aUNINA