• 한국안전학회지
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• 제13권1호
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• pp.119-130
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• 1998

The purpose of this study is to investigate the safety consciousness of the lobours working at the ship building or repairing yard at which the industrial accidents frequently happen, and to provide the basic data required for the prevention of those accidents. This study is made by analyzing the questionnaires of 208 labours working at various ship building or repairing industries at random. This questionnaire is focused on finding the basic data for prevention of industrial accidents and getting the public opinions and proposals of labours. The results obtained by this study are as follows ; The negative estimations of the labours to the safety are cultivation of safety consciousness, the safety behavior in company, the molters of arrangement and the estimation of industrial or post arrangement. The positive ones are the arrangements of the protective tools and equipments for safety, the rule of safety regulation and the order of works, and the status of health education within company.

• 한국안전학회지
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• 제24권6호
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• pp.124-131
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• 2009

In any form of construction work, it is essential that accidents be prevented at every stage, from foundation preparation to build completion. For this, it is necessary to use models that can assess risk and provide instructions for safe work processes so that the risk of accidents is reduced. Currently, however, very few models can perform these tasks. In this paper, we present a model that assesses risk quantitatively by analyzing the risk factors involved in each stage of construction, such as foundation work, temporary work, structural work, equipment work, and finishing work. The model performs assessment based on examples of accidents and by investigating actual conditions during construction. In addition, we present in this paper a safety management system developed to assess risk during construction and to effectively train laborers.

• 한국안전학회지
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• 제11권1호
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• pp.121-128
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• 1996

Estimating the cost of injuries and "accidents" to an organization is very important to figure out about how much well each organization has run his company and how much efficiently he has got the results using a certain amount of the expense for safety. Despite the potential usefulness to management of information as to the cost of a company's "accidents", it is not customary accounting practice to make these data available. Of the two general kinds of costs forced on a company by its occupational injuries and "accidents", the insurance cost and uninsured cost, -the former is by far the easier to find out. But actually, this uninsured cost should be figured out at each company. Authors have designed the generalized model to figure out the above problem costs to establish its efficient safety control. One construction company has been a pilot for this study. It is found that efficient safety control cost should be 1.2%~l.3% of total selling amount by analyzing actual data for three years.g actual data for three years.

• Journal of information and communication convergence engineering
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• 제21권3호
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• pp.225-232
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• 2023

Owing to advancements in intelligent transportation systems (ITS) and artificial-intelligence technologies, various machine-learning models can be employed to simulate and predict the number of traffic accidents under different weather conditions. Furthermore, we can analyze the relationship between weather and traffic accidents, allowing us to assess whether the current weather conditions are suitable for travel, which can significantly reduce the risk of traffic accidents. In this study, we analyzed 30000 traffic flow data points collected by traffic cameras at nearby intersections in Washington, D.C., USA from October 2012 to May 2017, using Pearson's heat map. We then predicted, analyzed, and compared the performance of the correlation between continuous features by applying several machine-learning algorithms commonly used in ITS, including random forest, decision tree, gradient-boosting regression, and support vector regression. The experimental results indicated that the gradient-boosting regression machine-learning model had the best performance.

• 한국지하수토양환경학회지:지하수토양환경
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• 제21권4호
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• pp.20-29
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• 2016

Although a number of chemical accidents have been occurred in South Korea, the effective prevention act for soil contamination has not been established so far. To effectively protect soil contamination from chemical accidents, decision support laws and regulations are absolutely essential. Regarding this situation, this study was aimed at diagnosing problems in current chemical safety management and prevention and response system against chemical accidents through analyzing the domestic and foreign causes of chemical accidents and the accident response procedures and finally suggesting policy measures for solving those problems. In order to clarify management of soil contamination by chemical accident, this study suggests the establishment of chemical accident preparedness, response, and making of local chemical management law and policy. This law needs to be supported by a clear management framework to guide government officials and all other stakeholders in the management of soil contamination by chemical accident.

• 한국터널지하공간학회 논문집
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• 제6권3호
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• pp.199-211
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• 2004

최근 터널이 점점 장대터널로 계획됨에 따라, 터널 안전성에 대한 요구도 증가하고 있다. 그러나 국내 터널내의 화재 및 사고에 대한 자료의 축적이 거의 되어있지 않고 관련 연구도 미흡한 실정이다. 따라서 본 연구에서는 터널의 화재 및 사고사례 관련 자료를 수집, 분석하여 국내터널 안전성 평가를 위한 기초자료를 제공하는데 목적이 있으며, 특히 터널내 교통사고 및 화재발생률, 인명피해 발생률과 터널 특성과의 관계 분석에 중점을 두었다.

• 한국도로학회논문집
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• 제13권1호
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• pp.13-19
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• 2011

본 연구의 목적은 가로구간 사고특성을 분석하고 주 야간 사고모형을 개발하는데 있다. 이를 위해 청주시 가로구간 24개 도로를 연구대상으로 2007년 사고 자료를 이용한다. 연구의 주요결과는 다음과 같다. 첫째, 가로구간의 주간 사고건수가 야간 사고건수보다 많았지만, 사고율에서는 야간사고율이 높은 것으로 분석되었다. 둘째, 4개의 사고모형이 개발되었으며, 이들은 통계적으로 모두 유의한 것으로 분석되었다. 마지막으로, 모형에 채택된 독립변수를 활용하여 주 야간 사고모형의 차이가 비교 분석되었다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 추계학술대회 논문집
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• pp.246-251
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• 2005

Accident scenarios analysis is a course to understand, analyze, and describe a process of an accident and behavior pattern of the parties to an accident. The method of accident scenarios is that we described patterns represented between accidents and hazardous conditions, and then provide data to prevent the accident. We have carried out scenarios analysis in various fields so far, but it was not taking account of system. In this research, we made a study on technology of accident scenarios analysis using QFD (Quality Function Deployment) to analyze systematically and evaluate quantitatively types of hazards and scenarios of railway accident. And we analyses accident scenarios of a subject of work-related fatality accident to railway employee and conducted risk assessment for different scenarios. Also we defined relation between unsafe events and hazardous conditions caused to work-related fatality accident, and attempted to quantitatively assess work-related fatality accident and the parties to accidents. The results of this research will be used in analyzing for important causes and contributing factors of work-related fatality accidents at the step of risk assessment of railway system, and quantitatively assessing frequency of work-related accidents and risk.

• 한국인터넷방송통신학회논문지
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• 제21권3호
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• pp.169-173
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• 2021

현재 병원에서의 안전사고가 꾸준히 발생하고 있다. 특히, 요양병원 등 면역력이 약한 고령환자의 안전사고가 지속적으로 발생하고 있으며 이에 대한 대책이 필요하다. 대부분의 사고는 거동이 불편한 환자의 움직임에 의해 일어나고 있다. 이에 환자의 움직임에 따른 입원실 음향을 분석하고 인식하여 관리자가 사전대처 하여 안전사고를 줄이는 방법으로 본 논문에서는 시계열 패턴인식에 적용 가능한 알고리즘인 DTW (Dynamic Time Warping)을 사용하여 병원 입원실 음향인식을 위한 음향패턴을 분류하여 병원 입원실 환경에 적용하여 분석 하였다.

• 한국항공운항학회지
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• 제29권4호
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• pp.124-133
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• 2021

The airline industry has been growing steadily since 2016 with more than 100 million air passengers, renewing the largest number of air passengers every year. Increasing air demand leads to an increase in air traffic in limited airspace, increasing the likelihood of accidents between aircraft. Due to the massive human and material damage caused by a single mistake, aviation safety is being heavily focused around the world to efficiently use limited airspace. Studies related to various human factors are underway as most of the aviation accidents are found to be caused by human factors, but research on human factors by controllers is insufficient while they are active in terms of control and operation. Given that 82% of air accidents caused by controllers are caused by human error, the importance of management of human error and changes in perception are urgently needed. This study aims to understand the seriousness of the controller's human error by analyzing the accident cases caused by the controller's human error using TEM to identify threats and errors and derive common human factors.