화재방호 설비 설계 자동화를 위한 선행연구 및 기술 분석
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이광호 | - |
dc.date.accessioned | 2022-04-08T01:41:02Z | - |
dc.date.available | 2022-04-08T01:41:02Z | - |
dc.date.created | 2022-04-08 | - |
dc.date.issued | 2020-12 | - |
dc.identifier.issn | 20938829 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/139638 | - |
dc.description.abstract | This paper presents the recent research developments identified through a review of literature on the application of artificial intelligence in developing automated designs of fire protection facilities. The literature review covered research related to image recognition and applicable neural networks. Firstly, it was found that convolutional neural network (CNN) may be applied to the development of automating the design of fire protection facilities. It requires a high level of object detection accuracy necessitating the classification of each object making up the image. Secondly, to ensure accurate object detection and building information, the data need to be pulled from architectural drawings. Thirdly, by applying image recognition and classification, this can be done by extracting wall and surface information using dimension lines and pixels. All combined, the current review of literature strongly indicates that it is possible to develop automated designs for fire protection utilizing artificial intelligence. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 토지주택연구원 | - |
dc.title | 화재방호 설비 설계 자동화를 위한 선행연구 및 기술 분석 | - |
dc.title.alternative | Literature Review and Current Trends of Automated Design for Fire Protection Facilities | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 이광호 | - |
dc.identifier.bibliographicCitation | LHI JOURNAL, v.11, no.4, pp.99 - 104 | - |
dc.relation.isPartOf | LHI JOURNAL | - |
dc.citation.title | LHI JOURNAL | - |
dc.citation.volume | 11 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 99 | - |
dc.citation.endPage | 104 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 2 | - |
dc.subject.keywordAuthor | 객체탐지 | - |
dc.subject.keywordAuthor | 인공지능 | - |
dc.subject.keywordAuthor | 합성곱 신경망 | - |
dc.subject.keywordAuthor | 화재방호설비 | - |
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