• Title/Summary/Keyword: publicly used establishment

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A Study on the Fire Simulation for Vertical Fire Diffusion Analysis of Jecheon Sports Center (제천스포츠센터의 수직 화재확산 해석을 위한 화재시뮬레이션 분석에 관한 연구)

  • Choi, Yun-Ju;Kim, Yun-Seong;Lee, Byeong-Heun;Kwon, Young-Jin
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.79-80
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    • 2022
  • In December 2017, a fire at the Jecheon Sports Center caused 29 deaths and 40 injuries, and about 2 billion won in property damage. It is a facility used by unspecified people as a publicly used establishment with a piloti structure. The damage was expanded due to the ignition of combustible exterior materials, Lack of fire protection in horizontal and vertical penetrations. Although legislation has improved since the fire, it is not retroactively applied, increasing the risk of fire in existing buildings. Accordingly, it is necessary to examine the case of the Jecheon Sports Center fire and draw out the problems. In this study, the fire simulation results and the Jecheon Sports Center fire are comparatively analyzed and used as basic data for fire reduction measures in publicly used establishment. As a result of the fire simulation drive, in the case of the second floor, the room temperature exceeded the human life safety standard of 60 ℃ after about 700 seconds had passed. In the case of three floor, it is predicted that the indoor temperature will exceed about 350 ℃. and temporary complexation will occur in the indoor combustibles.

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Analysis of Fire Risk Assessment Indicators of Publicly-Used Establishments using Delphi/AHP (Delphi/AHP를 활용한 다중이용업 신종업종의 화재위험평가지표 분석)

  • Kim, Myung-Cheol;Kim, Hak-Joong;Park, Kyung-Hwan;Youn, Hae-Kwon;Lee, Seung-Ho
    • Fire Science and Engineering
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    • v.33 no.6
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    • pp.87-94
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    • 2019
  • Through a press release dated July 17, 2018, the Anti-Corruption and Civil Rights Commission recommended that the National Fire Agency develop preventive measures against fire in the "Indoor Archery Ground" and "Room Escape Café" etc., which were originally excluded from the category of "Publicly Used Establishments." This study developed the hierarchy of domains and indicators of measurement for fire risk assessment of the new business of publicly used establishments through the Delphi Method. It analyzed the goodness of fit scores (over 3.00) and secured an average score of 4.25. Using AHP analysis, the ratio of consistency for the domains of measurement of fire risk assessment was found to be 4.0%, which was lower than CR ≤ 0.1 (10%). The consistency of subsequent measurement indicators were distributed in the range of 0.1%~3.6%, and they were identified as being commonly consistent. The indicators of measurement appeared as follows in order of importance and priority: Type of Internal Passage of Establishment and Evacuation Capacity of Exit (0.316), Control of Ignition Source (0.141), Inherent Risk (0.106), Appropriateness and Adaptiveness of Fire Detection System (0.097), Control of Inflammables/Combustibles (0.084), Guides and Facilities helping Evacuation (0.075), Fire Resistant Structure and Finishing Materials (0.060), Compartmentalization and Emergency Exit (0.049), Risk of Fire Expansion (0.046), and Appropriateness and Adaptiveness of Fire Extinguishing Facilities (0.026). The findings of this study are expected to be expansively used as data for future research on the development of fire risk assessment indicators.

A Study on Improvement of Safety Management System of Publicly Used Establishments Through Analysis of the UK Regulatory Regime (영국 안전규제체계의 분석을 통한 국내 다중이용업소 안전관리체계의 개선방안 연구)

  • Park, Suhyeong;Yoon, Myong-O
    • Journal of the Society of Disaster Information
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    • v.16 no.4
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    • pp.768-783
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    • 2020
  • Purpose: In response to the critical risk of fire due to the characteristic of Publicly used establishments(hereinafter referred to as PUE), 'Special Act on the Safety Control of PUE' was enacted in 2006 and is still in operation. However, in spite of numerous revisions so far, still there are problems to be resolved. This study analyses the regulatory regime of fire safety in UK to find measures which could fundamentally improve the safety management of PUE. Method: This study compares and analyses the safety management system of PUE in Korea and the case of the UK by using the comparative research method. Result: As a result of the qualitative analysis, some noticeable systems and concepts of the UK regulatory regime have been discovered(e.g. 'Responsible person', 'Fire risk assessment', 'Fire safety audit', etc.) and consequently, 'Proposal for the Fire Safety Management System for PUE' is designed based on the findings from examples in the UK and drawbacks of safety management of PUE. Conclusion: This study proposes the way to improve the safety management of PUE into a more rational and effective system by analysing the case of the UK, which reorganised the fire safety management to the private sector centered, in which the fire authority minimizes intervention.

Real-Estate Price Prediction in South Korea via Machine Learning Modeling (머신러닝 기법을 통한 대한민국 부동산 가격 변동 예측)

  • Nam, Sanghyun;Han, Taeho;Kim, Leeju;Lee, Eunji
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.15-20
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    • 2020
  • Recently, the real estate is of high interest. This is because real estate, which was considered only a residential environment in the past, is recognized as a stable investment target due to the ever-growing demand on it. In particular, in the case of the domestic market, despite the decrease in the number of people, the number of single-person households and the influx of people to large cities are accelerating, and real estate prices are rising sharply around the metropolitan area. Therefore, accurately predicting the prospects of the future real estate market becomes a very important issue not only for individual asset management but also for government policy establishment. In this paper, we developed a program to predict future real estate market prices by learning past real estate sales data using machine learning techniques. The data on the market price of real estate provided by the Korea Appraisal Board and the Ministry of Land, Infrastructure and Transport were used, and the average sales price forecast for 2022 by region is presented. The developed program is publicly available so that it could be used in various forms.

Problems and Reconsideration of the Concept of Public Health Care (Public Health and Medical Services) in South Korea (한국 내 공공보건의료 개념의 문제점과 재설정)

  • Sung, Jong Ho;Kim, Jung Ha
    • Korean Medical Education Review
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    • v.24 no.1
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    • pp.3-9
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    • 2022
  • The concept of "public health care (public health and medical services)" as discussed in South Korea is used in an unclear sense, with a meaning unlike the terminology used worldwide. The terms "public health care (public health and medical services)" and "health care (health and medical services)" have the same legal definition in Korea. Globally, "public health care (public health and medical services)" refers to medical services provided to the public that are operated as publicly funded resources, but in Korea, this term is confined to limited medical services prescribed by the government. The following considerations regarding "public health care (public health and medical services)" in Korea are proposed: All medical services performed by the state, regional governments, health care institutions, or health care workers to protect and promote the health of the people should be clearly established as "public health care (public health and medical services)" by definition. The financial burden borne by the state through national health insurance should be increased to an appropriate level to clarify the state's responsibility. Improving public health is an urgent priority in Korea, and this goal can be achieved by improving regional public health through systematic relationships between the state and regional governments, establishing a Ministry of Health, and efficiently allocating public health doctors who are important for providing regional medical care in rural and remote areas. It will be possible to actively deal with infectious diseases at the national level through establishment of a Ministry of Disease Control and Prevention.

Study of the Construction of a Coastal Disaster Prevention System using Deep Learning (딥러닝을 이용한 연안방재 시스템 구축에 관한 연구)

  • Kim, Yeon-Joong;Kim, Tae-Woo;Yoon, Jong-Sung;Kim, Myong-Kyu
    • Journal of Ocean Engineering and Technology
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    • v.33 no.6
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    • pp.590-596
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    • 2019
  • Numerous deaths and substantial property damage have occurred recently due to frequent disasters of the highest intensity according to the abnormal climate, which is caused by various problems, such as global warming, all over the world. Such large-scale disasters have become an international issue and have made people aware of the disasters so they can implement disaster-prevention measures. Extensive information on disaster prevention actively has been announced publicly to support the natural disaster reduction measures throughout the world. In Japan, diverse developmental studies on disaster prevention systems, which support hazard map development and flood control activity, have been conducted vigorously to estimate external forces according to design frequencies as well as expected maximum frequencies from a variety of areas, such as rivers, coasts, and ports based on broad disaster prevention data obtained from several huge disasters. However, the current reduction measures alone are not sufficiently effective due to the change of the paradigms of the current disasters. Therefore, in order to obtain the synergy effect of reduction measures, a study of the establishment of an integrated system is required to improve the various disaster prevention technologies and the current disaster prevention system. In order to develop a similar typhoon search system and establish a disaster prevention infrastructure, in this study, techniques will be developed that can be used to forecast typhoons before they strike by using artificial intelligence (AI) technology and offer primary disaster prevention information according to the direction of the typhoon. The main function of this model is to predict the most similar typhoon among the existing typhoons by utilizing the major typhoon information, such as course, central pressure, and speed, before the typhoon directly impacts South Korea. This model is equipped with a combination of AI and DNN forecasts of typhoons that change from moment to moment in order to efficiently forecast a current typhoon based on similar typhoons in the past. Thus, the result of a similar typhoon search showed that the quality of prediction was higher with the grid size of one degree rather than two degrees in latitude and longitude.