• 한국재난정보학회 논문집
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• 제11권4호
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• pp.634-638
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• 2015

해마다 반복적으로 인적 물적 피해를 유발하여 사회 안전에 큰 영향을 미치는 산업재해, 교통사고, 화재, 범죄 등의 항목을 4대 사회안전지표로 선정하여 2003년 이후 시계열에 따른 변화 추이를 분석하였다. 2003년을 기준으로 산업재해가 27.8% 감소하여 가장 두드러지게 개선된 것으로 확인되었으며, 교통사고와 범죄자표는 12% 정도 저감된 것으로 나타났다. 그러나 화재의 경우 2006년 이후 국가화재분류체계가 바뀌면서 경미한 생활 화재도 발생건수에 포함되도록 변경되어 기준년도 대비 40% 화재안전지수가 증가한 것으로 나타났다.

• 대한치과기공학회지
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• 제38권4호
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• pp.343-352
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• 2016

Purpose: The intention of the study is to reveal the factors that influence the safety-behavior and safety-accident of the students of dental laboratory science. We intend to use the study as a basic data of searching effective ways to heighten the safety-behavior of clinical training and to prevent safety-accident. Methods: The survey was conducted on dental technology students. The collected data was analyzed by the statistical program SPSS 21.0. The results were analyzed by reliability, frequency, t-test, correlation, multiple regression. To test for significance on each item, p<0.05 has been decided as a standard. Results: The results of the study showed that the safety of the students was influenced by the school year, the leader of clinical training, clinical training environment and the experience of safety education. The safety-accident turned out to be influenced by the school year of the student and the safety behavior. Conclusion: Active leader of clinical training, clinical training environment that enables the safety-behavior, and the offering of the systematic safety education were the most important factors to heighten the safety behavior of the students and prevent the safety-accident. These factors were expected to not only induce the safety-behavior but also prevent the safety-accident as well.

• 한국자동차공학회논문집
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• 제21권2호
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• pp.63-71
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• 2013

The estimation of occupant injury risk at crash accident is one of the most important assessments for the vehicle crashworthiness performance. The design of safety devices such as occupant restraining system also depend on the kinematics of occupant and its injury risk. The real world in-depth accident investigation provides detailed and realistic information of vehicle damage and occupant injury as well as the accident conditions. This paper introduces a statistical analysis of NASS/CDS database and domestic accident data to correlate speed change, vehicle damage extend, and occupant injury at frontal crash. The maximum crush extend shows a linear relationship with the effective impact speed. The injury risks of the occupant with and without restraining were also respectively quantified with the crush extend. This result can be effectively used for the emergent rescue of crash victims with automatic crash notification system.

• 산업경영시스템학회지
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• 제45권2호
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• pp.20-29
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• 2022

This study intends to present a traffic node-based and link-based accident prediction models using XGBoost which is very excellent in performance among machine learning models, and to develop those models with sustainability and scalability. Also, we intend to present those models which predict the number of annual traffic accidents based on road types, weather conditions, and traffic information using XGBoost. To this end, data sets were constructed by collecting and preprocessing traffic accident information, road information, weather information, and traffic information. The SHAP method was used to identify the variables affecting the number of traffic accidents. The five main variables of the traffic node-based accident prediction model were snow cover, precipitation, the number of entering lanes and connected links, and slow speed. Otherwise, those of the traffic link-based accident prediction model were snow cover, precipitation, the number of lanes, road length, and slow speed. As the evaluation results of those models, the RMSE values of those models were each 0.2035 and 0.2107. In this study, only data from Sejong City were used to our models, but ours can be applied to all regions where traffic nodes and links are constructed. Therefore, our prediction models can be extended to a wider range.

• 임상간호연구
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• 제15권1호
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• pp.79-91
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• 2009

Purpose: The purpose of this study was to describe the characteristics of children who visited the pediatric emergency department (PED) following an accident. Method: Data were obtained from the medical records of 4,010 children who visited the PED from January 1, 2004 through December 31, 2006. Data were analyzed using SPSS WIN 13.0 version. Results: The percentage of children who visited the PED for treatment following an accident was 14.9%. There were more boys (63.5%) than girls. The largest age group for children visiting the PED was preschool aged children. Slip downs were the most frequent accident (37.1%). The face was the most frequently injured area of the body (26.0%). Most (93.3%) of the children who visited the PED were classified as non-emergency, 6.5% as emergency and 0.2% as urgent. About 70.0% of children were examined and 50% of children were medicated. Fifty percent stayed in the PED department for less than 2 hours, and 88.0% of children were discharged to home. Nine percent were admitted, and 2.2% were transferred to other hospitals. Conclusion: The results of this study suggest the need for accident prevention education for parents, and the need to develop effective education for clinical nurses working in PED.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.179-187
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• 2020

This paper investigates the construction equipment accidents by time. Construction sites are unique with many different hazardous conditions which cause accidents. According to the Occupational Safety and Health Administration (OSHA), accidents related to construction equipment are one of the most leading causes of fatal injuries in the construction industry. While there have been many studies investigating the equipment-related accidents, few research studies provided in-depth analyses about the time that accidents frequently occurred. By using the OSHA accidents data collected between 1997 and 2012, this paper analyzed the accidents data by time, equipment type including excavator, backhoe, dozer, and crane, accident cause, and injury class. The analyses revealed that the time window with most accidents was between 13:00 and 13:59. In terms of the injury class, the time windows with the highest numbers of equipment accidents were between 13:00 and 13:59 and between 11:00 and 11:59 for fatality and hospitalization, respectively. For the accident causes, equipment operator's error was the highest number of accident causes. It is expected that findings from the analyses can be used to more strategically develop management plans and guidelines to prevent accidents related to construction equipment to practitioners.

• 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).

• Nuclear Engineering and Technology
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• 제42권2호
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• pp.151-162
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• 2010

A severe accident training simulator that can simulate important severe accident phenomena and nuclear plant behaviors is developed. The simulator also provides several interactive control devices, which are helpful to assess results of a particular accident management behavior. A simple and direct dynamic linked library (DLL) data communication method is used for the development of the simulator. Using the DLL method, various control devices were implemented to provide an interactive control function during simulation. Finally, a training model is suggested for accident mitigation training and its performance is verified through application runs.

• Nuclear Engineering and Technology
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• 제50권4호
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• pp.582-588
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• 2018

Accident diagnosis is one of the complex tasks for nuclear power plant (NPP) operators. In abnormal or emergency situations, the diagnostic activity of the NPP states is burdensome though necessary. Numerous computer-based methods and operator support systems have been suggested to address this problem. Among them, the recurrent neural network (RNN) has performed well at analyzing time series data. This study proposes an algorithm for accident diagnosis using long short-term memory (LSTM), which is a kind of RNN, which improves the limitation for time reflection. The algorithm consists of preprocessing, the LSTM network, and postprocessing. In the LSTM-based algorithm, preprocessed input variables are calculated to output the accident diagnosis results. The outputs are also postprocessed using softmax to determine the ranking of accident diagnosis results with probabilities. This algorithm was trained using a compact nuclear simulator for several accidents: a loss of coolant accident, a steam generator tube rupture, and a main steam line break. The trained algorithm was also tested to demonstrate the feasibility of diagnosing NPP accidents.

• 한국안전학회지
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• 제9권2호
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• pp.26-32
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• 1994

It is quite similar in the current automated works likewise in the past manual works that single trivial human error and/or unsafe acts may lead to serious industrial accidents. Though the traditional approach for accident prevention focused on the serious injuries or losses, that was misleaded by failure of accident perception. As Heinrich pointed out, there are still enormous numbers of unsafe acts or near-misses before a real accident happen. Thus, for industrial accident prevention, a research on unsafe acts was committed. With accident data occurred during the last decade, statistics were analyzed for extracting behavioral characteristics. After that, a practical method Integrating AHP and statistics which shows possible accident factors and their priority at an individual factory was suggested. A computer program was developed also.