• 한국철도학회:학술대회논문집
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• 한국철도학회 2006년도 추계학술대회 논문집
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• pp.1126-1131
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• 2006

Risk assessment of a railway system should be periodically conducted managing a large amount of accumulating accident/incident data and scenarios, which generally requires enormous time and efforts. Therefore, special information management system is essential for railway risk assessment, where data needed for decisions on managing the railway safety could be promptly supported. The objective of this study is to develop a railway accident analysis program for risk assessment. The program is application running on the web which links railway accident analysts throughout the railway industry to a central database. Data entered, together with associated code tables. is stored on MS-SQL database. The program uses the concepts of accident, safety events, causes, related factors(vehicle, person, infrastructure, tool/equipment), recommendations to bring together the various elements of railway accidents. The program will be useful in finding hazard conditions, accident scenarios, quantitatively assessing the risk, and providing pertinent risk measures, eventually serving to prevent railway accidents and reduce severities of railway accidents.

• 한국가스학회지
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• 제19권5호
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• pp.61-68
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• 2015

본 연구에서는 이동식 탱크차량의 사고대응을 위해서 사고대응 가이드라인 작성, 사고대응 물질 데이터베이스 구축을 통하여 프로그램을 개발하였다. 가이드라인은 잠재원인 식별 후, FEMA(Federal Emergency Management Agency) 절차에 따라 작성하였고, 최초 물질 데이터베이스는 GHS(Globally Harmonized System)를 적용하여 구축했으며, 데이터베이스 간의 유사점 확인을 통해 사고대응에 최적화 된 데이터베이스를 구축하였다. 마지막으로 Case Study를 통해 개발된 프로그램의 신뢰성을 확보하였다.

• 한국안전학회지
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• 제25권4호
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• pp.84-89
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• 2010

In Korea, the method of assessing uninsured costs is not adopted in a direct way, but in an indirect way on the basis of the insured cost. From this method, the cost of accidents can be approximately calculated, but accurate calculation of uninsured costs is not easy. Therefore, a better method of assessing uninsured costs caused by industrial accidents is necessary. In this study, the system program and database for assessing uninsured costs from industrial accidents were developed on the basis of the results of previous studies. This program and database could quantitatively assess uninsured costs more accurately and quickly than other studies. This system would contribute to the efficient analysis of industrial accident costs.

• 한국자동차공학회논문집
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• 제21권5호
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• pp.136-144
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• 2013

An extensive real world in-depth crash accident data is needed to make a precise occupant injury risk prediction at crash accidents which might be a critical information from the scene of the accident in ACNS(Automatic Crash Notification System). However it is rather unfortunate that there is no such a domestic database unlike other leading countries. Therefore we propose a numerical method, i.e., crash simulation using a sled model to make a virtual database that can substitute car crash database in real world. The proposing crash injury risk prediction is validated against a limited domestic crash accident data.

• 한국안전학회지
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• 제18권3호
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• pp.88-93
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• 2003

The Process Safety Management (PSM) by the Law of Industry, Safety and Health has been performed for preventing major accidents of chemical plants since 1996. In terms of preventing chemical accidents more precisely, it is essential to develop a tool for quantitative risk assessment. For this, KOSHA (Korea Occupational Safety and Health Agency) developed an Integrated Risk Management System (IRMS). The system is designed to assimilate data on chemical plant hazards from external database, to integrate these data with location information(topographic and demographic), and to make them user-friendly accessible. The system consists of several main functions: display of five major Korean petrochemical complex layout display of equipment layout with its information utilizing the external database, zonation of the hazard effected area with consequence analyses, the most probable accident scenario generation, accident/incident database and calculation of frequency of accident using equipment reliability database, etc. The highlight of IRMS is to provide the risk contours using GIS(Geographical Information System) technology. IRMS is intended to manage hazardous installation more systematically and effectively, to reduce the number of accident remarkably, further minimizing production loss in the plant. The system is now under application to about 500 PSM sites as well as and emergency authorities in Korea by KOSHA (Korea Occupational Safety and Health Agency)

• 한국산업정보학회논문지
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• 제27권6호
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• pp.95-103
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• 2022

원자력발전소의 중대사고 발생 시 신속하고 정확하게 사고 상황을 파악해야 하며, 이러한 사고진단 정보를 획득했을 때 적절한 사고관리 및 대응을 수행할 수 있다. 본 연구에서는 국가원자력 재난관리 시스템인 AtomCARE (Computerized technical Advisory system for a Radiological Emergency)로 전송되는 주요 발전소 정보로부터 중대사고 상황을 진단하는데 있어 딥러닝 기술의 접목을 고려하였다. 이를 위하여 주요 시나리오를 선정하고 사고 진행에 따른 상세 시나리오에 대하여 중대사고 해석 코드인 MAAP5 다량 계산을 통한 학습 DB를 구축하였다. 그리고 이 DB의 학습을 통하여 주요 발전소 정보로부터 중대사고 상세 시나리오를 분류할 수 있는, 즉 중대사고 상황을 진단할 수 있는 기술을 개발하였다. 또한 블라인드 테스트와 주성분분석을 통한 검증을 수행하였다. 본 연구에서 개발한 기술은 향후 전체 중대사고 시나리오로 확장 및 적용 가능할 것으로 판단되며 신속하고 정확한 사고진단의 기반기술로 활용 가치가 높을 것으로 기대된다.

• 자동차안전학회지
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• 제12권2호
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• pp.40-46
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• 2020

Modern traffic accidents are a complex occurrence. Various indicators are needed to analyze traffic accidents. Countries that have been investigating traffic accidents for a long time accumulate various data to analyze traffic accidents. The Korean In-Depth Accident Study (KIDAS) database collected damaged vehicles and severity of injury caused by Collision Deformation Classification code (CDC code), Abbreviated Injury Scale (AIS), and Injury Severity Score (ISS). As a result of the investigation, data relating to the injuries of the occupants can be easily obtained, but it was difficult to analyze human severity based on the information of the damaged vehicle. This study suggests a method to measure the speed change at the time of an accident, which is one of the most important indicators in the vehicle crash database, to help advance KIDAS research.

• 한국가스학회지
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• 제2권1호
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• pp.90-98
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• 1998

미래의 화재 사고에 대한 구체적인 대응과 사고를 줄이기 위하여 국내외 사고사례의 집적과 체계적인 자료 분류가 필요하다. 본 연구에서는 화재 사고사례 분류 모델을 제시하고 미국 NFPA의 분류 모델과 일본의 모델을 비교하여 향후 개선 방향을 제시하였다. 또한 PC의 Windows 환경에서 운영될 수 있는 사고사례에 관한 데이터베이스 프로그램(FADBS)을 개발하여 사고사례 분석을 쉽고 효과적으로 활용할 수 있도록 하였다.

• 한국측량학회지
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• 제19권1호
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• pp.55-66
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• 2001

현대도시는 여러 가지 원인으로 인하여 각종 재해가 발생하고 있다. 또한 재해의 발생 빈도가 증가하고 대형화되고 있는 시점에서 이들을 효과적으로 대처하기 위한 재해관리시스템이 필요하게 되었다. 이를 위해 본 연구에서는 급격한 차량의 증가로 인해 도시생활에서 가장 큰 재해로 지적되고 있는 교통사고와 사고발생 시 대형재해를 일으키는 가스재해 및 유지 보수의 중요성이 커지고 있는 교량 재해를 중심으로 데이터베이스를 구축하였다. 이에 본 연구는 실시간 정보의 제공을 가능케 하는 무선 인터넷 GIS를 이용하여 재해발생 시 현장에서 재해관리 데이터베이스에 접근하고, 신속하게 현장정보를 확인하여, 재해상황에 효과적으로 대처하며, 즉시 재해정보를 수정, 갱신할 수 있는 재해관리시스템을 개발하였다.

• 한국컴퓨터정보학회논문지
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• 제22권9호
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• pp.99-105
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• 2017

In this paper, we propose to design and implement the database management system for analyzing vehicle accidents through utilizing integration of the public big data. And the paper aims to provide valuable information for recognizing seriousness of the vehicle accidents and various circumstances at the accident time, and to utilize the produced information for the insurance company policies as well as government policies. For analysis of the vehicle accidents the system utilizes the integrated big data of National Indicator System, the Meteorological Office, National Statistical Office, Korea Insurance Development Institute, Road Traffic Authority, Ministry of Land, Infrastructure and Transport as well as the National Police Agency, which differentiates this system from the previous systems. The system consists of data at the accident time including weather conditions, vehicle models, age, sex, insurance amount etc., by which the database system users are able to obtain the integral information about vehicle accidents. The result shows that the vehicle accidents occur more frequently in the clear weather conditions, in the vehicle to vehicle conditions and in crosswalk & crossway. Also, it shows that the accidents in the cloudy weather leads more seriously to injury and death than in the clear weather. As well, the vehicle accident information produced by the system can be utilized to effectively prevent drivers from dangerous accidents.