• Journal of the Korea Institute of Building Construction
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• v.10 no.3
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• pp.99-111
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• 2010

In recent years, the number of high-rise building construction projects has grown, and the number of construction safety accidents has also been increasing. Therefore, the objective of this study is to propose plans to prevent accidents by systematically organizing accident principles and developing a tree diagram for the process of safety accidents that occur in the construction industry. This study aims to show the diverse characteristics of construction accidents based on KOSHA's annual reports on safety accidents(burial, conflagration, explosion, burn) from 1993 to 2009. To achieve these objectives, in this study we first examined the risk factors for burial, conflagration, explosion, and burn. We then systematically organized the classification viewpoint of accident causes, and suggested a methodology for the rationalization of safety management through an analysis of the primary causes of accidents by work type. The results of this study based on this methodology can be divided into three areas: 1)the types of facilities were divided into 43 categories by analyzing the information of KOSHA's annual reports; 2)the causes of burial, conflagration, explosion, and burn were divided into 63types; 3)the types of work were divided into 29 categories.

• International Journal of Highway Engineering
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• v.10 no.1
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• pp.31-39
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• 2008

Preventing the traffic accident by accurately predicting it in advance can greatly improve road traffic safety. The accurate traffic accident prediction model requires not only understanding of the factors that cause the accident but also having the transferability of the model. So, this paper suggest the traffic accident diagram using CART(Classification And Regression Tree) analysis, developed Model is compared with the existing accident prediction models in order to test the goodness of fit. The results of this study are summarized below. First, traffic accident prediction model using CART analysis is developed. Second, distance(D), pedestrian shoulder(m) and traffic volume among the geometrical factors are the most influential to the traffic accident. Third. CART analysis model show high predictability in comparative analysis between models. This study suggest the basic ideas to evaluate the investment priority for the road design and improvement projects of the traffic accident blackspots.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.27-30
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• 2021

경제 성장과 함께 자동차의 수요가 늘어남에 따라 교통사고 발생 빈도는 꾸준히 증가하고 있다. 이에, 본 연구에서는 교통사고를 야기하는 도로 및 기상환경과 같은 조건을 활용하여 기계학습 모델을 통해 서울시 교통사고 사상자 수를 예측하는 모형을 찾고자 한다. 활용한 데이터는 도로교통 공단에서 제공하는 교통사고 사상자 수 정보를 포함하는 데이터로 2015년부터 2018년도까지 데이터를 학습에 사용하였고 2019년도 데이터를 테스트 평가에 사용하였다. 실증연구를 통해 트리 기반의 모델 별 성능을 비교하였으며 본 연구에 대한 결과는 사고 발생 시 우선순위에 의한 구조활동이 가능하게 함과 도로상황 및 기상을 고려한 안전운전 가이드 지식으로 활용될 수 있다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2000.11a
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• pp.390-395
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• 2000

화학공정에서 발생하는 사고의 주요 원인으로는 조업자의 실수, 장치고장, 안전장치의 미비, 운전조건의 이상을 들 수 있다. 화학공정의 위험 분석은 HAZOP, FTA, ETA, 및 CA 등이 산업계에서 가장 유용하고 폭넓게 사용되고 있는 분석 방법이다. 이들 위험분석 기법 중에서 FTA(Fault Tree Analysis)는 사고의 세부적인 원인목록을 작성하여 해당사고의 구조를 파악할 수 있으며 복잡한 시스템내의 결함을 최소시간과 최소비용으로 효과적으로 예방할 수 있게 하는 정량적 위험성 평가 방법이다. 일반적으로 이 방법들은 전문가 집단에 의해 수행되기 때문에 전문가 집단의 능력과 투여되는 시간에 많이 비례하여 왔던 것이 사실이다. 이러한 이유로 인하여 위험분석방법의 자동화가 절실히 대두되고 있는 실정이다.(중략)

• Journal of the Korean Institute of Gas
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• v.19 no.4
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• pp.49-54
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• 2015

The purpose of this study is to assess the risk of depending on the presence or absence of safety device of domestic heating and drying furnaces, by derivation and analysis of accident frequency of safety devices through FTA (Fault Tree Analysis). Installation standards are lacking in Korean for the safety device of LPG heating and drying furnace, which have a risk of explosion due to structure to trap the leaked gas. Four different safety devices were selected on the basis of NFPA and national standards for combustors of other equipment. Effects of frequency reduction in accidents were analyzed before and after installing the safety devices respectively. As a result, a minimal leakage safety device was presented for preventing damages from gas leak of domestic LPG heating and drying furnace.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.6
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• pp.661-668
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• 2017

The purpose of this study is to analyze the chemical reaction pathway for explosion accident of mixed cargo. The analysis used a structural scenario using event-tree analysis. Structural scenarios were constructed by estimating various chemical reaction paths in the content of the mixed cargo accident recorded in the written verdict. The analytical method was applied to three kinds of analysis: chemical analysis based on chemical theory, quantitative analysis using chemical reaction formula, and probabilistic analysis through questionnaire. As a result of analysis, the main pathway of the accident occurred in three ways: the path of explosion due to the reaction of concentrated sulfuric acid with water, the path of explosion due to the reaction of metal and mixed acid, and the path of explosion by synthesizing with special substances. This result is similar to the path recorded in the validation, and it leads to thar the proposed path analysis method is valid. The proposed method is expected to be applicable to chemical reaction path estimation of various chemical accidents.

• Journal of the Korean Institute of Gas
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• v.7 no.2 s.19
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• pp.33-41
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• 2003

There exists high hazard when transporting LPG as well as using, storing, and producing. For small scale LPG consumer, retailers deliver LPG to customers via a truck loading many LPG cylinders. Suppose there occurred a accident during LPG cylinder transfer, this could result in serious damages to the life and properties in the near or neighbor of the accident spot. In this regard, we made a quantitative risk analysis to estimate the possible damages and the probability through the identification of accidents causes and the simulation of the possible scenario. In this study, we made the Excel & Visual Basic computer program to perform quantitative LPG accident analysis. The simulation showed the following results. In case of UVCE(Unconfined Vapor Cloud Explosion), the effect within l0m of the accident spot showed very severe structural damages and even the accident can break the window glasses of the area of 150 m apart from accident spot. In case of TNT corresponding probit analysis, after 10 minutes LPG leaking, $75\%$ window glasses of 40 m distance was expected to be broken. And $16\%$ frames of 20m distance, $10\%$ frames of 40m distance was expected to be collapsed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.3
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• pp.153-162
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• 2009

When a private information security incident occurs, the people who own the information are not acknowledged about their information leakage until those affairs appear in public media. This research aims at developing a mobile alarm system for acknowledging suspicious events to the information owners. The mobile alarm system was designed considering the limited user interface of mobile terminal and concept of "personal information leakage message tree" is deployed. The message tree contains every possible situation about personal information leakage and the leaves of the tree has several choices that the information owner can select. This message tree concept enables each information owner to manager his or her information leakage situation by just pushing a few buttons of mobile device. The contribution of this paper is in design of a comprehensive alarm message tree and development of mobile alarm system containing the message tree concept.

• Korean Journal of Construction Engineering and Management
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• v.21 no.3
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• pp.28-38
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• 2020

The large-scaled and high-rise construction structures in recent years have increased high place work, leading to an increase in falling accidents (hereinafter, "accidents"). The need for prediction and management of unsafe acts of workers at construction sites has been raised as unsafe acts of workers are identified as the main cause of industrial accidents. This research aims at deriving the improvement effect of unsafe acts by presenting the relationship between unsafe acts of workers and accidents at construction sites as a probability. Unsafe acts of workers were derived based on the analysis of accident cases. In addition, surveys were conducted to calculate the probability of occurrence of accidents caused by unsafe acts (hereinafter, 'accident probability'). The Event Tree Analysis (ETA) was utilized to confirm the final probability according to the combination of unsafe acts and improvement effect. The accident probability by unsafe act was found to be the highest for working after drinking (95.41%) and to be the lowest for equipment and machine utilization (65.70%). The accident probability according to a combination of unsafe acts was the highest when all of the unsafe acts were conducted (13.23%) and was the lowest when none of the unsafe acts were conducted (0.00%).

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.380-383
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• 2015

오용 탐지모델 기반의 침입탐지시스템은 새로운 사이버 공격을 탐지하기 위해 지속적으로 탐지규칙을 생성해야 한다. 공격에 대한 특징을 정확히 식별하지 못하고 탐지규칙을 생성할 경우 많은 false positive를 발생시키며, 이로 인해 침해사고 대응시간이 늦어진다. 본 논문에서는 침입탐지시스템에서 탐지된 이벤트의 true positive와 false positive 데이터를 Keyword Tree의 node에 경로를 지나가는 횟수를 누적하는 값을 포함시킨 자료구조를 기반으로 비교분석하여 false positive를 감소시킬 수 있는 탐지규칙 패턴 생성 기법을 제안한다.