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Poster: MR and IoT convergence platform with AI support for disaster recognition
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dc.contributor.authorKil, Woogeun-
dc.contributor.authorKo, Kwangpyo-
dc.contributor.authorLee, Seungwoon-
dc.contributor.authorRoh, Byeong Hee-
dc.date.issued2019-06-12-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36492-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072090429&origin=inward-
dc.description.abstractBecause disaster situations can cause damage to people and property, fast recognition and Countermeasure is important. IoT and MR, the technologies that have become popular nowadays, expected to play a key role in this domain. In this paper, we will introduce MR and IoT Convergence Platform with AI Support for Disaster Recognition This platform can recognize a disaster situation with sensors and AI system, and report to the user's MR devices. Also, we build a prototype using OneM2M-based Mobius Platform, Microsoft Hololens, and CNN-based AI Camera for proving feasibility.-
dc.description.sponsorshipThis research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2018-0-01431) supervised by the IITP(Institute for Information & communications Technology Promotion).-
dc.language.isoeng-
dc.publisherAssociation for Computing Machinery, Inc-
dc.subject.meshAI systems-
dc.subject.meshArtifical intelligence-
dc.subject.meshDisaster countermeasures-
dc.subject.meshDisaster situations-
dc.subject.meshFast recognition-
dc.subject.meshMicroSoft-
dc.subject.meshMR devices-
dc.titlePoster: MR and IoT convergence platform with AI support for disaster recognition-
dc.typeConference-
dc.citation.conferenceDate2019.6.17. ~ 2019.6.21.-
dc.citation.conferenceName17th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2019-
dc.citation.editionMobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services-
dc.citation.endPage615-
dc.citation.startPage614-
dc.citation.titleMobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services-
dc.identifier.bibliographicCitationMobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, pp.614-615-
dc.identifier.doi10.1145/3307334.3328652-
dc.identifier.scopusid2-s2.0-85072090429-
dc.identifier.urlhttp://dl.acm.org/citation.cfm?id=3307334-
dc.subject.keywordArtifical Intelligence-
dc.subject.keywordDisaster Countermeasure-
dc.subject.keywordDisaster Recognition-
dc.subject.keywordInternet of Things-
dc.subject.keywordMixed-Reality-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaComputer Science Applications-
dc.subject.subareaComputer Networks and Communications-
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Roh, Byeong-hee노병희
Department of Software and Computer Engineering
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