• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2007년도 춘계학술대회 논문집
• /
• pp.1163-1167
• /
• 2007

Many railway safety measures are carried out after Daegue subway fire accident. Such as replacement of train interior material, fire extinguish and toxic gas evacuation facilities, exercise on emergency response, setting up of national safety management system, and safety technology research. But these safety measures are not considered by system safety due to lack of risk and hazard information. In order to assess fire risk on system level, we proposed hazard events and causes classification for railway fire accident risk analysis.

• Industrial Engineering and Management Systems
• /
• 제13권2호
• /
• pp.154-162
• /
• 2014

Effects of food scandals on religious belief, human health and even on causes of death indicate that firms and consumers are vulnerable to integrity risks in the global supply chain. Mitigating the integrity risk and maintaining the credence quality products like halal food is very challenging, if not impossible. Our aim in this research is to show that supply chain integration can mitigate the halal food integrity risk. To illustrate this idea, we have conducted case studies and interviews in seven Malaysian chicken supply chain focal firms. We unpack the halal integrity risks along the supply chain, such as production risk, raw material risk, food security risk, outsourcing practices risk, service risk, and logistics risk. The research argues that supply chain integration, such as internal integration and external integration practices, could minimize the halal integrity risk. The advantages of supply chain integration in mitigating the halal integrity risk are also highlighted in this paper.

• 대한통합의학회지
• /
• 제12권2호
• /
• pp.155-166
• /
• 2024

Purpose : This study aims to identify key factors for predicting dropout risk at the university level and to provide a foundation for policy development aimed at dropout prevention. This study explores the optimal machine learning algorithm by comparing the performance of various algorithms using data on college students' dropout risks. Methods : We collected data on factors influencing dropout risk and propensity were collected from N University. The collected data were applied to several machine learning algorithms, including random forest, decision tree, artificial neural network, logistic regression, support vector machine (SVM), k-nearest neighbor (k-NN) classification, and Naive Bayes. The performance of these models was compared and evaluated, with a focus on predictive validity and the identification of significant dropout factors through the information gain index of machine learning. Results : The binary logistic regression analysis showed that the year of the program, department, grades, and year of entry had a statistically significant effect on the dropout risk. The performance of each machine learning algorithm showed that random forest performed the best. The results showed that the relative importance of the predictor variables was highest for department, age, grade, and residence, in the order of whether or not they matched the school location. Conclusion : Machine learning-based prediction of dropout risk focuses on the early identification of students at risk. The types and causes of dropout crises vary significantly among students. It is important to identify the types and causes of dropout crises so that appropriate actions and support can be taken to remove risk factors and increase protective factors. The relative importance of the factors affecting dropout risk found in this study will help guide educational prescriptions for preventing college student dropout.

• 한국건설관리학회논문집
• /
• 제18권3호
• /
• pp.105-116
• /
• 2017

최근 국내 대형건설기업은 해외사업에서 큰 손실이 발생하였으며 이러한 손실의 중요한 원인은 저가수주 및 수행역량 때문이었다는 의견이 많았다. 하지만, 원가상승의 원인을 실제사례를 기반으로 실증적으로 검증한 연구는 없었다. 본 연구에서는 13개 대형건설회사에 수행한 67개 해외토목 원도급 사업에 대해, 원가상승률, 예비비, 견적의 여유분, 입찰 전 리스크, 수주 후 발생한 리스크, 수주 후 원가에 영향을 미친 리스크 등을 조사하였다. 이를 바탕으로 본 연구에서 다음과 같은 결론을 얻었다. 첫째, 원가가 상승한 프로젝트는 입찰 전에도 어느 정도 리스크를 인식하고 있었으나 예비비나 견적에 반영된 리스크 금액이 충분하지 못했다. 특히, 원가가 크게 증가한 프로젝트 일수록 이러한 현상이 심하게 나타났다. 둘째, 원가상승의 원인은 내부역량 리스크보다는 외부환경 리스크에 의한 영향이 컸다. 하지만, 원가상승이 컸던 프로젝트에서는 내부역량 리스크도 상대적으로 크게 평가되었다. 셋째, 원가가 증가한 프로젝트들은 리스크 대응 성과가 좋지 않았지만, 원가가 감소한 프로젝트들은 리스크 대응도 중요하지만 입찰 전부터 리스크가 적었던 것으로 분석되었다. 본 연구는 해외건설사업이 보다 나은 원가관리를 위해서, 입찰 전의 리스크 평가와 견적, 수주 후의 리스크 대응에 대해 기초적인 정보를 제공한다.

• 한국철도학회:학술대회논문집
• /
• 한국철도학회 2007년도 춘계학술대회 논문집
• /
• pp.1174-1179
• /
• 2007

Train collision and derailment are types of accident that happen with low probability of occurrence but could lead to disastrous consequences including multiple life losses. Risk assessment of the accidents are typically performed per their hazardous events, which are defined as events that cause accidents. This study classifies the train collision and derailment based on the relevant hazardous event, and investigates the causes related to the hazardous events. Finally, the relation of the causes, hazardous events, and the accidents are defined.

• Journal of Preventive Medicine and Public Health
• /
• 제51권6호
• /
• pp.298-309
• /
• 2018

Objectives: The objective of this study was to assess the relationship between systolic and diastolic blood pressure (SBP, DBP) and the risk of death from specific causes other than cardiovascular diseases. Methods: We calculated the risk of specific death by SBP and DBP categories for 506 508 health examinees in 2002-2003 using hazard ratios (HRs) and 95% confidence intervals (CIs) in a Cox proportional hazards model. Results: Compared to normal levels (SBP <120 or DBP <90 mmHg), stage I systolic and diastolic hypertension (SBP 140-159, DBP 85-89 mmHg, respectively) were associated with an increased risk of death from diabetes mellitus, alcoholic liver disease, and renal failure (HR, 1.83; 95% CI, 1.51 to 2.22; HR, 1.24; 95% CI, 1.06 to 1.46; HR, 2.30; 95% CI, 1.64 to 3.21; HR, 1.67; 95% CI, 1.27 to 2.20; HR, 1.99; 95% CI, 1.41 to 2.81; HR, 1.31; 95% CI, 0.99 to 1.73, respectively), but a decreased risk of death from intestinal pneumonia (HR, 0.64; 95% CI, 0.42 to 0.98; HR, 0.59; 95% CI, 0.39 to 0.91). Only stage II systolic hypertension (SBP ${\geq}160mmHg$) was associated with an increased risk of death from pneumonia, liver cirrhosis, and intestinal ischemia (HR, 1.54; 95% CI, 1.19 to 1.98; HR, 1.46; 95% CI, 1.00 to 2.15; HR, 3.77; 95% CI, 1.24 to 11.40, respectively), and stage I and II diastolic hypertension (SBP 140-159 and ${\geq}160mmHg$) were associated with an increased risk of death from intestinal ischemia (HR, 3.07; 95% CI, 1.27 to 7.38; HR, 4.39; 95% CI, 1.62 to 11.88, respectively). Conclusions: An increase in blood pressure levels may alter the risk of death from certain causes other than cardiovascular diseases, a well-known outcome of hypertension, although the mechanism of these associations is not well documented.

• 한국항해항만학회지
• /
• 제46권3호
• /
• pp.269-279
• /
• 2022

인공지능의 발전으로 산업계 전반에서 시스템의 자동화를 위해 인공지능을 도입하고 있다. 해양산업분야에서도 자율운항선박이라는 패러다임을 통해 인공지능을 단계적으로 적용하고 있다. 이러한 흐름에 따라 ABS와 DNV에서는 자율운항선박에 대한 가이드라인을 발표하였다. 하지만 선급의 가이드라인은 선박의 운항 및 해양 서비스 관점에서 요구사항을 기술하고 있으므로, 인공지능의 위험에 대해서는 충분히 고려되지 못했을 가능성이 있다. 그래서 본 연구에서는 ISO/IEC JTC1/SC42 인공지능 분과에서 제정한 표준들을 활용하여 선급 요구사항을 위험의 원인으로 분류하고, 위험원인과 인공지능 메트릭(metrics)의 조합을 통해 위험을 평가할 수 있는 척도로 사용하고자 한다. 본 연구에서 제안한 인공지능의 위험 원인과 이를 평가하기 위한 특성의 조합을 통해 해양 시스템에 인공지능이 도입됨으로써 발생하는 위험을 정의하고 식별하는 데 도움이 될 수 있을 것으로 생각되며, 선급을 포함한 다양한 기구에서 자율운항선박을 위한 안전 요구사항을 더욱 자세하고 구체적으로 작성하는 데 도움을 줄 수 있을 것으로 기대한다.

• 한국철도학회논문집
• /
• 제12권2호
• /
• pp.260-266
• /
• 2009

위험도분석은 철도사고해석에 주로 사용되는 이론이다. 위험도 분석의 목적은 전설공사전체 과정에서 주요사고부 사고요인과 잠재적인 원인 및 기여정도 등을 조사 분석하는 것이다. 본 논문은 건설공사 현장에서 발생하는 사고원인과 패턴을 분석하고 사고빈도와 심각도를 고려한 위험도 지수를 계산하여 상대적인 위험도 평가를 제공하고자 하는 것이다. 이를 기반으로 사고 위험도 지수의 일관성을 유도하고 위험도 평가를 위한 정량적인 기준을 제공하고자 하였다.

• Journal of Preventive Medicine and Public Health
• /
• 제57권2호
• /
• pp.120-127
• /
• 2024

Objectives: The coronavirus disease 2019 (COVID-19) pandemic led to increased mortality rates. To assess this impact, this ecological study aimed to estimate the excess death counts in southern Iran. Methods: The study obtained weekly death counts by linking the National Death Registry and Medical Care Monitoring Center repositories. The P-score was initially estimated using a simple method that involved calculating the difference between the observed and expected death counts. The interrupted time series analysis was then used to calculate the mean relative risk (RR) of death during the first year of the pandemic. Results: Our study found that there were 5571 excess deaths from all causes (P-score=33.29%) during the first year of the COVID-19 pandemic, with 48.03% of these deaths directly related to COVID-19. The pandemic was found to increase the risk of death from all causes (RR, 1.26; 95% confidence interval [CI], 1.19 to 1.33), as well as in specific age groups such as those aged 35-49 (RR, 1.21; 95% CI, 1.12 to 1.32), 50-64 (RR, 1.38; 95% CI, 1.28 to 1.49), and ≥65 (RR, 1.29; 95% CI, 1.12 to 1.32) years old. Furthermore, there was an increased risk of death from cardiovascular diseases (RR, 1.17; 95% CI, 1.11 to 1.22). Conclusions: There was a 26% increase in the death count in southern Iran during the COVID-19 pandemic. More than half of these excess deaths were not directly related to COVID-19, but rather other causes, with cardiovascular diseases being a major contributor.

• 한국농공학회논문집
• /
• 제58권2호
• /
• pp.11-20
• /
• 2016

Korea has 17,500 irrigation dams and facing variety of causes that jeopardize dam safety. With limited resources available to manage large inventory, a portfolio risk analysis application method for numerous irrigation dam safety is essential. The purpose of this study is to find an optimum way to adopt the risk analysis to the large number of irrigation dams in Korea and to propose the portfolio risk analysis process for irrigation dams. In this study, the necessity of the risk analysis for reservoirs safety has been suggested and a phased process using pre-screening and screening methodology has been proposed. This proposed procedure will help to effectively introduce the risk analysis for reservoirs safety in Korea.