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dc.contributor.authorMuralidharan, S.-
dc.contributor.authorYoo, B.-
dc.contributor.authorKo, H.-
dc.date.accessioned2024-01-12T04:12:14Z-
dc.date.available2024-01-12T04:12:14Z-
dc.date.created2022-03-07-
dc.date.issued2020-01-
dc.identifier.issn0747-668X-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/77961-
dc.description.abstractToday there is exponential growth and convergence in technologies like the Internet of Things (IoT), machine learning, and other forms of Artificial Intelligence leveraging the way we collect and analyze data from smart sensors. A Digital Twin (DT) Technology is the creation of the virtual replicas of physical IoT devices that helps to monitor the applications, analyze data collected, and predict future behavior and performance of devices. In this paper, we propose a semantic DT based IoT model with support at the edge with container technology to mimic the IoT devices and enhance the interoperability of the heterogeneous IoT devices. ? 2020 IEEE.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleDesigning a semantic digital twin model for IoT-
dc.typeConference-
dc.identifier.doi10.1109/ICCE46568.2020.9043088-
dc.description.journalClass1-
dc.identifier.bibliographicCitation2020 IEEE International Conference on Consumer Electronics, ICCE 2020-
dc.citation.title2020 IEEE International Conference on Consumer Electronics, ICCE 2020-
dc.citation.conferencePlaceUS-
dc.citation.conferenceDate2020-01-04-
dc.relation.isPartOfDigest of Technical Papers - IEEE International Conference on Consumer Electronics-
dc.identifier.wosid000612997400009-
dc.identifier.scopusid2-s2.0-85082574251-
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KIST Conference Paper > 2020
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