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앙상블 인공지능 모델을 활용한 안전관리 자율운영 플랫폼 설계

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dc.contributor.author이동엽-
dc.contributor.author임대식-
dc.contributor.author우수정-
dc.contributor.author문영호-
dc.contributor.author김민정-
dc.contributor.author이준원-
dc.date.accessioned2024-03-22T06:30:30Z-
dc.date.available2024-03-22T06:30:30Z-
dc.date.issued2024-02-
dc.identifier.issn1226-9026-
dc.identifier.urihttps://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/49306-
dc.description.abstractThis paper proposes a novel safety autonomous platform (SAP) architecture that can automatically and precisely manage on-site safety through ensemble artificial intelligence models generated from video information, worker’s biometric information, and the safety rule to estimate the risk index. We practically designed the proposed SAP architecture by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, Hue, ELK (Elasticsearch, Logstash, Kibana), Ansible, etc., and confirmed that it worked well with safety mobility gateways for providing various safety applications.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisher한국항행학회-
dc.title앙상블 인공지능 모델을 활용한 안전관리 자율운영 플랫폼 설계-
dc.title.alternativeSafety Autonomous Platform Design with Ensemble AI Models-
dc.typeArticle-
dc.identifier.doi10.12673/jant.2024.28.1.159-
dc.identifier.bibliographicCitation한국항행학회논문지, v.28, no.1, pp 159 - 162-
dc.identifier.kciidART003058648-
dc.citation.endPage162-
dc.citation.number1-
dc.citation.startPage159-
dc.citation.title한국항행학회논문지-
dc.citation.volume28-
dc.identifier.urlhttps://koreascience.kr/article/JAKO202407933640648.page-
dc.publisher.location대한민국-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorAutonomous platform-
dc.subject.keywordAuthorEnsemble AI-
dc.subject.keywordAuthorSafety management-
dc.subject.keywordAuthorPower industry-
dc.subject.keywordAuthorSafety rule.-
dc.description.journalRegisteredClasskci-
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