Citation Export
DC Field | Value | Language |
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dc.contributor.author | Roh, Byeong Hee | - |
dc.contributor.author | Choi, Geunkyung | - |
dc.contributor.author | Lee, Seungwoon | - |
dc.contributor.author | Kim, S. J. | - |
dc.contributor.author | Kang, Jinsuk | - |
dc.date.issued | 2023-01-01 | - |
dc.identifier.issn | 0747-668X | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36948 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85149108508&origin=inward | - |
dc.description.abstract | Internet of Things (IoT), Artificial Intelligence (AI), and Mixed Reality (MR) are recognized as ones of the most promising core technologies to lead the 4th industrial revolution. Converging MR with IoT and AI helps recognize situations by displaying the contents of analyzed data obtained from IoT servers on HMD. In this paper, we introduce the MR-enabled Convergence Platform with AI and IoT, called MR-IoT/AI Convergence Platform, shortly MIAcP, and MR-enabled multilateral collaboration application platform as an example of MIAcP. Then, we present the use cases of the applications that can apply to various fields such as disaster response, military surveillance, industrial digital twins, themed entertainments, and others. | - |
dc.description.sponsorship | ACKNOWLEDGEMENT This work was supported partially by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2022-2018-0-01431) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation). | - |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.subject.mesh | Application platforms | - |
dc.subject.mesh | Artificial intelligence | - |
dc.subject.mesh | Collaboration applications | - |
dc.subject.mesh | Convergence platform | - |
dc.subject.mesh | Core technology | - |
dc.subject.mesh | Disaster-response | - |
dc.subject.mesh | Internet of thing | - |
dc.subject.mesh | Military surveillance | - |
dc.subject.mesh | Mixed reality | - |
dc.subject.mesh | Multilaterals | - |
dc.title | Mixed Reality-Enabled Multilateral Collaboration Application Platform with AI and IoT Convergence | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2023.1.6. ~ 2023.1.8. | - |
dc.citation.conferenceName | 2023 IEEE International Conference on Consumer Electronics, ICCE 2023 | - |
dc.citation.edition | 2023 IEEE International Conference on Consumer Electronics, ICCE 2023 | - |
dc.citation.title | Digest of Technical Papers - IEEE International Conference on Consumer Electronics | - |
dc.citation.volume | 2023-January | - |
dc.identifier.bibliographicCitation | Digest of Technical Papers - IEEE International Conference on Consumer Electronics, Vol.2023-January | - |
dc.identifier.doi | 10.1109/icce56470.2023.10043498 | - |
dc.identifier.scopusid | 2-s2.0-85149108508 | - |
dc.subject.keyword | Artificial Intelligence (AI) | - |
dc.subject.keyword | Convergence Platform | - |
dc.subject.keyword | Digital Twin | - |
dc.subject.keyword | Disaster Response | - |
dc.subject.keyword | Internet of Things (IoT) | - |
dc.subject.keyword | Military Surveillance | - |
dc.subject.keyword | Mixed Reality(MR) | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Industrial and Manufacturing Engineering | - |
dc.subject.subarea | Electrical and Electronic Engineering | - |
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