000 03894nam a22005655i 4500
001 978-3-031-04231-7
003 DE-He213
005 20240423130256.0
007 cr nn 008mamaa
008 220506s2022 sz | s |||| 0|eng d
020 _a9783031042317
_9978-3-031-04231-7
024 7 _a10.1007/978-3-031-04231-7
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
245 1 0 _aEdge Computing and IoT: Systems, Management and Security
_h[electronic resource] :
_bSecond EAI International Conference, ICECI 2021, Virtual Event, December 22–23, 2021, Proceedings /
_cedited by Kaishun Wu, Lu Wang, Yanjiao Chen.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aX, 137 p. 66 illus., 48 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
_x1867-822X ;
_v437
505 0 _aAn Improved Audio Processing Method for Campus Broadcast System -- Committee Selection Based on Game Theory in Sharding Blockchain -- Green Transition Driven Carbon Trading Mechanism and Design Based on Urban Vehicle Trajectory Data -- Matching with Externalities for Device Assignment in IoT Sharding Blockchain -- Openflow-extended Queue Scheduling for Multi-tenants in Access Network -- Research and Improvement on detection algorithm of SCMA System -- A Survey of Adversarial Attacks on Wireless Communications -- Adversarial Examples in Wireless Networks: A Comprehensive Survey -- Headmotion: Human-machine interaction requires only your head movement -- Implementation of the bone grid reconstruction based on CT data -- Intelligent Vocal Training Assistant System -- Wearable-based Human Emotion Inference System. .
520 _aThis book constitutes the refereed post-conference proceedings of the 2nd International Conference on Edge Computing and IoT, ICECI 2021, held in December 2021 in Shenzhen, China. Due to COVID-19 pandemic the conference was held virtually. The explosion of the big data generated by ubiquitous edge devices motivates the emergence of applying machine learning systems for edge computing and Internet of Things (IoT) services. Machine learning techniques are delivering a promising solution to the industry for building IoT systems and to make innovation at a rapid pace. The 12 full papers of ICECI 2021 were selected from 26 submissions and present results and ideas in the area of edge computing and IoT.
650 0 _aComputer networks .
650 0 _aArtificial intelligence.
650 0 _aApplication software.
650 1 4 _aComputer Communication Networks.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer and Information Systems Applications.
700 1 _aWu, Kaishun.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWang, Lu.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aChen, Yanjiao.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031042300
776 0 8 _iPrinted edition:
_z9783031042324
830 0 _aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
_x1867-822X ;
_v437
856 4 0 _uhttps://doi.org/10.1007/978-3-031-04231-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNS
942 _cSPRINGER
999 _c186883
_d186883