• The Journal of Bigdata
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• v.7 no.1
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• pp.89-97
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• 2022

Various efforts are needed to prevent accidents because ship collisions can cause various negative situations such as economic losses and casualties. Therefore, research to prevent accidents is being actively conducted, and in this study, new leading indicators for preventing ship collision accidents is proposed. In previous studies, the risk of collision was expressed in consideration of the distance between ships in a specific sea area, but there is a disadvantage that a new model needs to be developed to apply this to other sea areas. In this study, the density-based ship domain DESD (Density-based Empirical Ship Domain) including the environment and operating characteristics of the sea area was defined using AIS (Automatic Identification System) data, which is ship operation information. Deep clustering is applied to two-dimensional DESDs created for each sea area to cluster the seas with similar operating environments. Through the analysis of the relationship between clustered sea areas and ship collision accidents, it was statistically tested that the occurrence of accidents varies by characteristic of each sea area, and it was proved that DESD can be used as a leading indicator of accidents.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.63-63
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• 2017

• Proceedings of the KOR-KST Conference
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• 1999.10a
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• pp.141-146
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• 1999

본 연구는 평면곡선부의 차량속도변화와 교통사고에 대한 영향을 분석하기 위해 수행되었으며, 이를 위해 곡선반경별로 진입부 직선도로 - 곡선부 - 이탈부 직선도로로 구분하여 각 주행속도를 산정하였다. 본 연구에서는 선행차량에 의해 영향을 받지 않는 속도를 이용하여 평면곡선부 기하구조의 영향을 분석하였다. 이러한 곡선부의 주행 속도를 분석한 결과, 곡선반경별 최저속도와 그 속도가 나타나는 위치를 분석하였고, 해당 도로구간의 교통사고자료를 분석하여 평면곡선부의 차량주행속도변화와 교통사고 발생간의 관계를 규명하였다. 연구 결과는 다음과 같다. 첫째, 운전자들은 곡선시작지점에 도착하기 전에 충분히 속도를 줄이고, 곡선부에서 가장 낮은 속도가 나타나는 위치는 곡선시점의 후방에서 나타나고 이는 운전자의 시거에 의한 영향이다. 둘째, 곡선부에서의 속도변화폭이 클수록 사고위험성은 크고 실제 교통사고의 발생건수는 높다. 본 연구의 결과에 의해 도로 주행의 안전성을 고려한 평가지표를 개발할 수 있으며, 이에 의한 일관성 있는 도로설계를 유도할 수 있다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.323-326
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• 2017

본 논문에서는 대학교의 재난안전관리 역량 증진의 필요성을 시사하고, 이를 위한 방법론을 제시하고자 하였다. 대학교는 다량의 화학물질 보유, 출입통제 제한적, 인적 물적 인프라 집중 등의 이유로 재난 및 안전사고 발생 확률이 높으며 동시에 발생 시 피해규모도 클 것이라 예측 가능하다. 하지만 아직까지 대학교 재난안전관리에 대하여 대학실험실안전관리에만 치중되어 있는 경향이 있다. 그러므로 대학교 재난안전관리 역량지표를 개발하고 역량수준을 진단하여 전반적인 대학교 재난안전관리 역량수준을 향상시킬 필요성이 있다. 본 논문에서는 대학교 재난안전관리 역량지표 개발을 위해 선행되어야 할 국내외 재난안전관리 역량분석을 실시하였다. 대학교 재난안전관리 현황분석을 통한 대학교 재난안전관리 업무목록을 바탕으로 국내외 재난안전관리 역량지표를 적용하여 대학교 재난안전관리 역량지표 개발이 가능할 것이다.

• Journal of Advanced Navigation Technology
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• v.25 no.6
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• pp.456-465
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• 2021

For predictive aviation safety management, the establishment of safety performance indicators to measure and manage the safety performance of service providers must be preceded. In particular, leading indicators are significant in that they play an important role in identifying and managing the causes of accident/incident in advance. However, the current safety performance indicators of the domestic aviation industry have limitations in that they focus on lagging indicators based on events that have already occurred. Therefore, the purpose of this study is to construct Korean leading indicators for preventive safety management. In addition, we verify the validity and importance of the indicators based on review of the experts and AHP analysis. This study is meaningful in that it can support the proactive safety management of the domestic aviation industry through the development of leading safety indicators, which have been relatively lacking in research.

• Journal of Korean Society of Transportation
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• v.23 no.5 s.83
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• pp.27-34
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• 2005

To develop a crisis management for aviation safety, this study has defined crisis management includes risk management which is eliminates or lowers risks prior to accidents and emergency response after the accidents. A risk management model was developed through wide surveys for aviation hazards including aircraft operation, ATC, and airport operation, etc. The crisis management could not be effective by only using a pre-active risk management. It should also conduct using a pro-active response system. In addition, this study also suggested schemes of development for national emergency response through case studies of aircraft accidents.

• Journal of the Society of Disaster Information
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• v.12 no.4
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• pp.403-411
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• 2016

The objectives of this study is to develop evaluation indicators for the quantitative evaluation of construction safety culture level in order to prevent accidents by evaluating the level of safety culture and each safety culture elements of the construction site and to present the areas that should be focused on improvements. In this study, it was presented assessment indicators of the construction safety culture by analyzing previous studies for safety culture, by categorizing items as an important element of safety culture hierarchically and by reflecting the opinion of the construction site professional personnels using AHP analysis methodology. The assessment indicators of the construction safety culture were structured the details of the leadership, systems, and personal characteristics and derived weighted value by the pairwise comparison to quantify the detail assessment indicators in order to assess the construction safety culture level. This study presents a safety culture assessment indicators for the construction site to suggest directions for improving the construction site safety culture and prevent the accidents of the construction site by derived via a safety culture assessment of construction site.

• Journal of Digital Convergence
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• v.15 no.11
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• pp.245-250
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• 2017

Flash floods is defined as the flooding of intense rainfall over a relatively small area that flows through river and valley rapidly in short time with no advance warning. So that it can cause damage property and casuality. This study is to establish the flash-flood warning system using 38 accident data, reported from the National Disaster Information Center and Land Surface Model(TOPLATS) between 2009 and 2012. Three variables were used in the Land Surface Model: precipitation, soil moisture, and surface runoff. The three variables of 6 hours preceding flash flood were reduced to 3 factors through factor analysis. Decision tree, random forest, Naive Bayes, Support Vector Machine, and logistic regression model are considered as big data methods. The prediction performance was evaluated by comparison of Accuracy, Kappa, TP Rate, FP Rate and F-Measure. The best method was suggested based on reproducibility evaluation at the each points of flash flood occurrence and predicted count versus actual count using 4 years data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.947-950
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• 2015

In the cause of car accidents in Korea, drowsy driving has shown that it is larger fctors than drunk driving. Therefore, in order to prevent drowsy driving accidents, drowsiness detection and warning system for drivers has recently become a very important issue. Furthermore, Many researches have been published that measuring alpha wave of EEG signals is the effective way in order to be aware of drowsiness of drivers. In this study, we have developed EEG measuring device that applies a signal processing algorithm using the LabView program for detecting drowsiness. According to results of drowsiness inducement experiments for small test subjects, it was able to detect the pattern of EEG, which means drowsy state based on the changing of power spectrum, counterpart of alpha wave. After all, Comparing to the results of drowsiness pattern between commercial equipments and developed device, we could confirm acquiring similar pattern to drowsiness pattern. With this results, the driver's drowsiness prevention system expect that it will be able to contribute to lowering the death rate caused by drowsy driving accidents.

• Journal of the Society of Disaster Information
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• v.13 no.2
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• pp.221-232
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• 2017

We analyzed the effect of urban disaster on urban growth in 82 cities in Korea. It is interesting to note that violent crime has a positive (+) relationship with income growth, and other theft crime and violent crimes have a negative relationship with anticipated crime. Disaster accidents and incidents do not have a direct effect on employment and population growth, and are the result of rejecting hypotheses presented in previous studies. Finally, although the three indicators representing urban growth, that is, income, employment, and population, have different characteristics of statistical data basically, they show significant differences in explanatory power even though they use the same explanatory variables. This result suggests a new research task in addition to suggesting the use of the three indicators.