• 한국화재조사학회논문지
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• 제11권1호
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• pp.1-8
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• 2008

가스연료는 사업체, 가정 등에서 사용이 증가하고 있으며, 이로 인한 사고위험도도 증가추세 이며, 사고원인 또한 다양하게 나타나고 있다. 가스사고를 원인(취급부주의, 제품불량 등), 형태(화재, 폭발, 누출 등), 피해등급(1,2,3,4급), 사상자(사망, 중상, 경상)로 분류하여 설명하였다. 가스연료 중 가정에서 많이 사용되는 LP가스 시설은 가스용기, 압력조정기, 호스, 중간밸브, 연소기로 크게 구분할 수 있으며, 이 구성요소 중의 어떤 부분에서 취급부주의, 제품불량 등의 원인에 의해 화재 및 폭발 등이 발생할 수 있다. 따라서 사고 발생시 과거화재사례에 대한 연구 및 화재조사 시 착안사항을 참고하여 정확한 원인이 규명되어야 한다.

• 한국측량학회지
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• 제9권2호
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• pp.9-18
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• 1991

현재의 교통사고 조사에서 첨부되는 사고 현장의 조사 내용은 현장에서 작성된 현장 상황 스케치와 소요점간을 줄자로 측정하는 것이 대부분이다. 이러한 처리 방법은 대형화 되어가고 복잡해지는 교통사고의 처리에 한계가 제기되고 있다. 본 연구에서는 이러한 문제의 해결을 모색하기 위해 사진 측량의 방법을 도입하여 교통사고 현장의 필요점간의 정확한 3차원 측정 및 정밀도화를 수행하였다. 사진 측량의 효과로는 신속한 현장조사, 교통체증의 조기해소, 사고 현장의 연쇄 사고의 방지 등이 있다. 본 연구에서 이용한 준측량용 카메라와 3차원 사진측량 시스템은 기준점 측량이 필요없이 간단한 조작과 경제적으로 이용 가능하기 때문에 경찰에서의 교통사고 조사 및 증거자료 확보 등의 다양한 분야에 걸쳐 매우 유용할 것으로 사료된다.

• 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.

• 웰빙융합연구
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• 제7권1호
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• pp.27-33
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• 2024

Purpose: This study investigates human error accidents in the Korean railway sector, emphasizing the need for systematic management to prevent such incidents, which can have fatal consequences, especially in driving-related jobs. Research design, data and methodology: This paper analyzed data from the Aviation and Railway Accident Investigation Board and the Korea Transportation Safety Authority, examining 240 human error accidents that occurred over the last five years (2018-2022). The analysis focused on accidents in the driving, facility, electric, and control fields. Results: The findings indicate that the majority of human error accidents stem from negligence in confirmation checks, issues with work methods, and oversight in facility maintenance. In the driving field, errors such as signal check neglect and braking failures are prevalent, while in the facility and electric fields, the main issues are maintenance delays and neglect of safety measures. Conclusions: The paper concludes that human error accidents are complex and multifaceted, often resulting from a high workload on engineers and systemic issues within the railway system. Future research should delve into the causal relationships of these accidents and develop targeted prevention strategies through improved work processes, education, and training.

• 한국건축시공학회지
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• 제8권3호
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• pp.127-133
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• 2008

Safety accident resulting from construction projects getting larger and complex day by day has occurred more often than ever. Particularly, the accident caused by construction equipment, among others, has been on the rise. To prevent such accidents, it's necessary to come up with the measures for reducing the accident. In this study, the cause of safety accidents was analyzed, reviewing the cases of safety accident maintained by Korea Occupational Safety & Health Agency, and the measures for reducing the accident was suggested with computerized safety checklist. The scope of study was limited to excavator, and the result is summarized as below. 1) Investigation was conducted to identify the cases of accident by excavator with the primary causes. 2) Reduction measures were suggested by category of cause of excavator-caused accident. 3) Checklist to prevent the safety accident, which was based on primary causes, was suggested. 4) The measures to stir up safety consciousness and monitor the safety were suggested, making use of computerized system. This study is expected to lay the foundation for further study in future as well as make a great commitment to reducing the safety accident.

• Journal of Biosystems Engineering
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• 제3권2호
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• pp.126-132
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• 1978

This study was carried out through the survey questionaries in order to get the information for proper operating technique of the two-wheel tractors which are widely used in the farm, and investigated various accidents which occurred during the operation of two-wheel tractors for farm works in 7 Provinces of Korea. The summarized results are as follows ; 1. Annual accident frequency of the two-wheel tractor was 2.07 times, and the average rate of accident was 0.72 times per hour. Its value was the largest in the pre-operations , and the smallest in the threshing operation. 2. The accident distribution according to each month was nearly propertional to the operating hours of the two-wheel tractor. More than 60 % of total accident was concentrated during the rice transplanting and harvesting season. 3. The careless accident was more than 50% of total accident , and inevitable accident about 18% . The rate of careless accident showed the highest in pre-operation such as engine starting, check, and adjustment, and belt change. 4. The serious wounded operator was 7.1 % to total wounded operator , and about 50 % of accident of casualties to operators occurred during haruling operations. 5. The amount of casualties to property was range of 1,000 to 10,000 won, and annual total amount per unit tractor could be estimated to be 10 , 000 won.

• 대한전자공학회논문지TC
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• 제44권1호
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• pp.85-92
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• 2007

교통사고는 해마다 감소하고 있는 추세이다. 그러나 대형사고나 뺑소니 사고는 계속 증가하고 이다. 뿐만 아니라, 교통사고는 주변지역의 교통 정체를 유발하게 되어 사회적 비용이 들게 된다. 이 때문에 우리는 본 논문에서 교통사고를 예방할 수 있는 방안을 제시하고, 교통사고가 발생한 경우 교통사고를 신속히 처리할 수 있는 방안을 제시하였다. 운전자는 DMB를 사용함으로서 교통상황을 청각과 시각을 통해서 보다 정확히 알 수 있다. 끝으로, 우리는 TPEG으로 보다 효과적인 교통정보를 제공하는 방안을 제안하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.744-751
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• 2022

Construction is among the most dangerous industries with numerous accidents occurring at job sites. Following an accident, an investigation report is issued, containing all of the specifics. Analyzing the text information in construction accident reports can help enhance our understanding of historical data and be utilized for accident prevention. However, the conventional method requires a significant amount of time and effort to read and identify crucial information. The previous studies primarily focused on analyzing related objects and causes of accidents rather than the construction activities. This study aims to extract construction activities taken by workers associated with accidents by presenting an automated framework that adopts a deep learning-based approach and natural language processing (NLP) techniques to automatically classify sentences obtained from previous construction accident reports into predefined categories, namely TRADE (i.e., a construction activity before an accident), EVENT (i.e., an accident), and CONSEQUENCE (i.e., the outcome of an accident). The classification model was developed using Convolutional Neural Network (CNN) showed a robust accuracy of 88.7%, indicating that the proposed model is capable of investigating the occurrence of accidents with minimal manual involvement and sophisticated engineering. Also, this study is expected to support safety assessments and build risk management systems.

• 한국화재조사학회논문지
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• 제11권1호
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• pp.59-65
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• 2008

각종 화재사고 분류 중 대표적으로 나타나는 가스사고는 그 형태와 원인이 다양하다고 할 수 있다. 가스사용량은 사용가구수가 증가와 사용 장소 및 가스기기의 다양화로 증가하고 있으며, 2007년도 가스사용량은 35,078천톤으로서 연평균 9.4%증가하였다. 가스사고는 95년 557건을 최고로 하여 2007년도에는 123건 발생하여 연평균 11.5%감소되었다. 가스의 종류에 따른 사고건수는 LP가스의 경우 전체 가스사고중 약 80%를 차지하고, 도시가스와 고압가스가 약 20%를 차지하고 있다. LP가 많았고, 특히 공급자부주의에 의한 사고가 끊이지 않고 증가하고 있는 추세이다. 가스사고는 사용자취급부주의, 공급자 취급부주의, 시공불량 및 노후제품으로부터 사고가 발생하여 인명과 재산피해가 발생하고 있다. 본 논문에서는 가스사고의 분류와 형태별, 원인별, 지역별 등에 대한 사고분포를 통해 가스사고의 원인에 대한 이해를 하고 가스안전사고를 예방하는 자료로 활용되도록 하였다.

• 자동차안전학회지
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• 제15권2호
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• pp.35-41
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• 2023

On December 19, 2015, as Article 29-3 (Installation of Accident Recording Devices and Provision of Information) of Motor Vehicle Management Act came into force, In Korea, the EDR (Event Data Recorder) reports are often used for the analysis of various traffic accident cases such as multiple collisions, traffic insurance crimes, and sudden unintended acceleration (SUA), and the others. So many investigators have analyzed the driver's behavior and vehicle situation by comparing the time zero in the EDR report to the actual crash time in dash-cam (or CCTV). Time zero (T0) is defined as the reference time for the record interval or time interval when recording an accident in Article 56-2, Enforcement rule of Performance and Standard for Automobile and Automotive parts. Also in the EDR report, time zero (T0) is defined as whichever of the following occurs first; 1. "wake-up" by an air-bag control system, 2. Continuously running algorithms (by monitoring of longitudinal or lateral delta-V), 3. Deployment of a non-reversible deployment restraint. We have already proposed the "Flowchart & Checklist" to adopt the EDR report for traffic accident investigation and the necessity of specialized institutions or courses to systematically educate or analyze the EDR data. Therefore, in this paper, we report to traffic accident investigators notable points and analysis methods based on some real-world traffic accidents that can be misjudged in specifying time zero (T0).