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NTIS 바로가기한국건축시공학회지 = Journal of the Korea Institute of Building Construction, v.23 no.1, 2023년, pp.81 - 92
강성원 (Department of Architectural Engineering, Kyonggi University) , 이기석 (Department of Architectural Engineering, Kyonggi University) , 유위성 (Department of Economic and Financial Research, Construction & Economy Research Institute of Korea) , 신윤석 (Department of Architectural Engineering, Kyonggi University) , 이명도 (R&D Center, Yunwoo Technologies Co., Ltd.)
According to the 2020 industrial accident reports of the Ministry of Employment and Labor, the number of fatal accidents in the construction industry over the past 5 years has been higher than in other industries. Of these more than 50% of fatal accidents are initially caused by fall accidents. The ...
Ministry of Employment and Labor. Status of industrial accidents in 2021 [Internet]. Sejong (Korea): Ministry of Employment?and Labor; 2022 Mar 16. Available From: https://www.moel.go.kr/skin/doc.html?fn20220316181319d8e53bb1623f43478809a5e10076b441.hwp&rs/viewer/BBS/2022/
Ministry of Employment and Labor. Statistics on the deaths of industrial accidents in 2020 [Internet]. Sejong (Korea): Ministry?of Employment and Labor; 2021 Dec 30. Available From: https://www.moel.go.kr/skin/doc.html?fn2022090115531410acc82f7e9946809d3b368b4b88a393.hwpx&rs/viewer/BBS/2022/
Korea Occupational Safety Health Agency (KOSHA). Safety and Health Plus in May [Internet]. Ulsan (Korea): Korea?Occupational Safety Health Agency (KOSHA); 2021 Apr 27. Available From: https://www.kosha.or.kr/ebook/fcatalog/ecatalog5.jsp?Dir493&catimage&listCallY&eclangko
Korea Law Information Center. Enforcement Rule Of The Construction Technology Promotion Act. Sejong (Korea): Korea?Law Information Center; 2022 Dec 30. Available From: https://www.law.go.kr/LSW/lsSc.do?section&menuId1&sub?MenuId15&tabMenuId81&eventGubun060101&query%EA%B1%B4%EC%84%A4%EA%B8%B0%EC%88%A0%EC%A7%84%ED%9D%A5%EB%B2%95+%EC%8B%9C%ED%96%89%EA%B7%9C%EC%B9%99#undefined
Ministry of Land, Infrastructure and Transport. Guidelines for Smart Construction Technology Field Application [Internet].?Sejong (Korea): Ministry of Land, Infrastructure and Transport; 2021 Mar 4. Available From: http://m.molit.go.kr/viewer/skin/doc.html?fn57efd7f626b212c57f4959468f9208ef&rs/viewer/result/20210304
Ministry of Land, Infrastructure and Transport. Improving the Safety of Construction Sites by Introducing Smart Safety?Equipment [Internet]. Sejong (Korea): Ministry of Land, Infrastructure and Transport; 2020 Mar 23. Available From:?http://m.molit.go.kr/viewer/skin/doc.html?fnba4f21a0718d1688945470e7c83f2168&rs/viewer/result/20200320
Ministry of Land, Infrastructure and Transport. Smart Construction Technology Roadmap [Internet]. Sejong (Korea): Ministry?of Land, Infrastructure and Transport; 2018 Oct 31. Available From: http://m.molit.go.kr/viewer/skin/doc.html?fn48b98c06c65155bf1c8c1a5289011bf2&rs/viewer/result/20181031
Lee KP, Choi SY, Son TH, Choi SI. Survey on smart technology applications of korean construction companies and strategies?for activation. Seoul (Korea): Construction & Economy Research Institute of Korea Research; 2019 Dec 26. Available From:?http://www.cerik.re.kr/report/research/detail/2330
Lee CH, Kim IS, Lee CY, Shin JM, Kang CH. Application of smart construction technology for quality and productivity?improvement. Magazine of the Korea Concrete Institue. 2021 Nov;33(6):67-72.
Kim WB. Apreliminary study on computer vision based safety helmet detection in constrction [master's thrsis]. [Busan (Korea)]:?Pukyong National University; 2018. 52 p.
Kim MH. Application of deep learning technique for detecting constructio worker wearing safety helmet based on computer?vision [master's thrsis]. [Busan (Korea)]: Pukyong National University; 2019. 69 p.
Shin JK. Real-time monitoring system for personal protective equipment of construction worker using smart technology [Ph.D.?dissertation]. [Suwon (Korea)]: Kyonggi University. 2022. 188 p.
Lee DH. A study on object detection and sensor fusion based on deep learning using lidar and camer [master's thrsis]. [Seoul?(Korea)]: Kookmin University; 2020. 83 p.
Lee YH, Kin YS. Comparison of cnn and yolo for object detection. Journal of the Semiconductor & Display Technology. 2020?Mar;19(1):85-90.
Park YS, Lee SY, Lee KT, Improving personal protective equipment detectionin smart construction. The Journal of the KICS.?2020 Nov;45(12):2202-9. https://doi.org/10.7840/kics.2020.45.12.2202
Nipun DN, Behzaden AH, Paal SG. Deep learning for site safety: Real-time detection of personal protective equipment.?Automation in Construction. 2020 Apr;112:103085. https://doi.org/10.1016/j.autcon.2020.103085
Jeon CW. Deep-learning based detection for small to medium sized tools in indoor construction site [master's thrsis]. [Incheon?(Korea)]: Inha University. 2021. 70 p.
Shin DH, A study on Railway Safety Enhancement on the Utilizing Open Source Computer Vision [Ph.D. dissertation].?[Chungju (Korea)]: Korea National University of Transportation. 2019. 134 p.
Park GJ, Binayark B. Railway facility real-time intruder monitoring system using computer vision and deep learning. Journal of?the Korean Society for Railway. 2020 Jan;23(1):35-44.
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