• Journal of Magnetics
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• 제21권2호
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• pp.249-254
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• 2016

Recently, electric vehicles have got significant attention because it is more eco-friendly and efficient than internal combustion engine vehicles. Instead of an internal combustion engine, the electric vehicle has a motor for propulsion. The permanent magnet synchronous motor which has permanent magnet instead of field winding in the rotor has especially higher efficiency and power density than other types of motor. When the irreversible demagnetization is occurred, drivers are exposed to high risk of accident by the fault operation of motor. Therefore, the irreversible demagnetization of permanent magnet should be detected to reduce the risk of accident. In this study, the demagnetization diagnosis method based on the result of locked rotor test is proposed. Based on short measurement time, the proposed diagnosis method aims to detect the demagnetization fault when an electric vehicle is at a complete standstill. The proposed method is verified through the finite element analysis.

• 대기
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• 제34권2호
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• pp.107-121
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• 2024

In this study, we empirically analyzed the impact of physical risks due to climate change on the soundness and operational performance of the financial industry by combining economics and climatology. Particularly, unlike previous studies, we employed the Seasonal-Trend decomposition using LOESS (STL) method to extract trends of climate-related risk variables and economic-financial variables, conducting a two-stage empirical analysis. In the first stage estimation, we found that the delinquency rate and the Bank for International Settlement (BIS) ratio of commercial banks have significant negative effects on the damage caused by natural disasters, frequency of heavy rainfall, average temperature, and number of typhoons. On the other hand, for insurance companies, the damage from natural disasters, frequency of heavy rainfall, frequency of heavy snowfall, and annual average temperature have significant negative effects on return on assets (ROA) and the risk-based capital ratio (RBC). In the second stage estimation, based on the first stage results, we predicted the soundness and operational performance indicators of commercial banks and insurance companies until 2035. According to the forecast results, the delinquency rate of commercial banks is expected to increase steadily until 2035 under assumption that recent years' trend continues until 2035. It indicates that banks' managerial risk can be seriously worsened from climate change. Also the BIS ratio is expected to decrease which also indicates weakening safety buffer against climate risks over time. Additionally, the ROA of insurance companies is expected to decrease, followed by an increase in the RBC, and then a subsequent decrease.

• 대한토목학회논문집
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• 제39권5호
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• pp.561-568
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• 2019

최근 우리나라는 기후변화 영향으로 극심한 가뭄으로 인한 피해가 발생하고 있다. 따라서 가뭄에 대한 완화대책을 마련하기 위해서는 가뭄 위험도의 변화를 분석할 필요가 있다. 본 연구에서는 관측 강수량 자료와 RCP 4.5 및 8.5 기후변화 시나리오에 따른 미래 강수량 자료를 활용하여 극한가뭄에 대한 수문학적 위험도를 평가하였다. 먼저, 임계수준방법으로 가뭄사상을 정의하고 풀링을 통하여 미소가뭄을 제거하여 도출한 가뭄 지속기간 및 심도를 대상으로 이변량 가뭄빈도분석을 실시하였다. 극한가뭄사상에 대한 수문학적 위험도를 산정한 결과, RCP 4.5 시나리오에서 위험도가 가장 높은 지역은 전라북도이며 과거보다 51 % 증가하였다. 또한, RCP 8.5 시나리오에서 위험도가 가장 높은 지역은 강원도이며 과거보다 47 % 증가하였다.

• 감성과학
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• 제12권1호
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• pp.11-18
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• 2009

본 연구의 목적은 재가치매노인에게 발생한 사고사례들의 조사를 통해 치매노인에게 위험요소로 작용 될 수 있는 요인들을 추출하고, 이를 바탕으로 치매노인 보호를 위해 고려해야 할 모니터링 요소의 결정에 필요한 기초 정보를 제공하고자 하는 것이다. 재가치매노인 55명(남자 16명, 여자 39명)을 대상으로 설문지를 이용하여 기본특성, 행동특성, 노인인지기능(Short form of Samsung Dementia Questionnaire: S-SDQ), 일상생활 수행능력(Activities of Daily Living: ADL), 사고사례를 조사하였다. 설문조사내용을 바탕으로 위험인자로 작용하는 요소들을 추출하고, 추출된 요소들의 발생빈도, 공발생빈도, 발생장소, 신체손상유무, 손상부위, 손상정도를 분석하였다. 그리고 행동특성, ADL, S-SDQ와 위험요소간의 발생빈도를 교차빈도분석을 통해 알아보았다. 분석결과 12개의 위험요소가 추출되었으며, 이 중 '나감'의 빈도가 가장 많았고, 신체적 손상이 발생한 위험요소는 넘어짐, 부딪힘, 미끄러짐, 떨어짐이었다. 공발생빈도 분석 결과, 넘어짐, 나감, 가스방화, 폭력이 다른 요인과 함께 발생하는 빈도가 높았다. 위험요소의 발생장소는 집주변이 가장 많았으며, 손상부위로는 무릎, 손상정도는 타박상이 가장 많았다. 교차빈도분석결과 위험요소의 발생빈도에 차이가 발생한 항목은 행동장애, 일상생활수행장애 그리고 ADL이였다. 행동장애와 일상생활수행장애의 정도에 따라 빈도의 차이를 보인 요인은 나감이었고, ADL의 정도에 따라 빈도의 차이를 보인 요인은 미끄러짐과 가스방화였다.

• 해양환경안전학회지
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• 제24권3호
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• pp.302-310
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• 2018

Despite the accident rate for fishing vessels accounts for 70% of all maritime accidents, few studies on such accidents have been done and most of the them mainly focus on causes and mitigation policies to reduce that accident rate. Thus, this risk analysis on sea accidents is the first to be performed for the successful and efficient implementation of accident reducing measures. In risk analysis, risk is calculated based on the combination of frequency and the consequence of an accident, and is usually expressed as a single number. However, there exists uncertainty in the risk calculation process if one uses a limited number of data for analysis. Therefore, in the study we propose a probabilistic simulation method to forecast risk not as a single number, but in a range of possible risk values. For the capability of the proposed method, using the criteria with the ALARP region, we show the possible risk values spanning across the different risk regions, whereas the single risk value calculated from the existing method lies in one of the risk regions. Therefore, a decision maker could employ appropriate risk mitigation options to handle the risks lying in different regions. For this study, we used fishing vessel accident data from 1988 to 2016.

• 한국건축시공학회지
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• 제17권3호
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• pp.287-294
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• 2017

최근 건설프로젝트가 대형화 복잡화되어 감에 따라, 건설공사에서의 리스크 및 불확실성이 급증하고 있다. 증가하고 있는 건설 공사의 위험을 정량적으로 평가하고 관리 할 수 있는 모델 개발을 위해서는 위험 인자를 식별하고 위험인자의 발생 빈도와 심도를 계량화하는 연구가 우선되어야 한다. 이에 본 연구에서는 건설현장에서 발생한 사고 데이터를 기반으로 하여 위험요인의 확률분포 및 리스크 레벨별 위험의 발생 확률과 위험의 발생 빈도를 몬테카를로 기법을 통해 시뮬레이션하였다. 시뮬레이션을 통해 사고 원인의 확률 분포 및 사고 원인별 위험도를 분석하여 계량적 분석 결과를 도출하였다. 본 연구의 결과는 향후 정량적 위험관리모델 및 위험관리 연구를 위한 기초 자료가 될 것이다.

• 한국수자원학회논문집
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• 제56권2호
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• pp.151-163
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• 2023

본 연구에서는 수문학적 가뭄의 위험도 평가를 위해 이변량 지역빈도해석 방법을 적용하여 2022년 가뭄 빈도를 평가하였다. 현재 우리나라의 수문학 분야에서 사용 가능한 자료의 대부분이 자료연수가 부족하여 기존의 지점빈도해석 수행 시 도출되는 결과의 신뢰도에는 한계가 있다. 본 연구에서는 유입량 자료를 대상으로 지역빈도분석을 수행하였으며, 최종적으로는 가뭄사상의 결합재현기간을 도출하여 가뭄위험도 평가를 위한 각 댐 별 빈도분석을 수행하였다. 본 연구에서 제안되는 Copula 기반 지역빈도해석 모형은 가뭄변량 간의 상관성 및 극치 특성을 효과적으로 반영하는 것을 확인할 수 있었으며, 지역빈도해석모형과 지점빈도해석모형의 적합성 검정 결과의 비교를 통해 지역빈도해석 모형의 장점을 확인할 수 있었다. 결과적으로 2022년에 발생한 낙동강 유역의 수문학적 가뭄사상은 결합재현기간이 8년을 상회하는 것으로 나타났으며 남강댐의 경우 결합재현기간이 20년으로 평가되어 낙동강 유역에서 상대적으로 심한 가뭄이 발생한 것으로 판단된다.

• 한국안전학회지
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• 제35권5호
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• pp.15-21
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• 2020

Quantitative risk assessment (QRA) is used as a legal or voluntary safety management tool for the hazardous material industry and the utilization of the method is gradually increasing. Therefore, a leak frequency analysis based on reliable generic data is a critical element in the evolution of QRA and safety technologies. The aim of this paper is to derive the leak frequency function that can be applied more flexibly in QRA based on OGP report with high reliability and global utilization. For the purpose, we first reviewed the data on the 16 equipments included in the OGP report and selected the predictors. And then we found good equations to fit the OGP data using non-linear regression analysis. The various expectation functions were applied to search for suitable parameter to serve as a meaningful reference in the future. The results of this analysis show that the best fitting parameter is found in the form of DNV function and connection function in natural logarithm. In conclusion, the average percentage error between the fitted and the original value is very small as 3 %, so the derived prediction function can be applicable in the quantitative frequency analysis. This study is to contribute to expand the applicability of QRA and advance safety engineering as providing the generic equations for practical leak frequency analysis.

• Journal of Nutrition and Health
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• 제36권6호
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• pp.622-634
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• 2003

The purpose of this study was to investigate the dietary habits and altered food preferences of stroke patients. One hundred and forty-six outpatients, who had experienced their first-ever stroke and were admitted to Asan Medical Center between July and December 2000, were studied. Using interviews, we assessed the altered food preferences, food consumption frequency, and other factors influencing the food preferences and food consumption frequency of the subjects. These results were analyzed with 2 t-tests, and multiple regression analysis, using the SPSS package program. Preferences for pork, red fish, coffee, bread and stews were higher in male stroke patients than in females. The frequency of consumption of beef, pork, white fish, red fish, egg, garlic, onion, coffee, instant noodles, bread, and culinary vegetables increased in the male stroke patients more than in the females. Food preferences were influenced by income, risk factors, subjective tastes and location of brain ischemic lesions. Food consumption frequency was affected by food preference, income, drugs, alcohol, marital status, sex, and dysgeusia. As a result of multiple regression analysis, the frequency of consumption of white fish, red fish, eggs, soy milk, milk, garlic, onions, coffee, noodles, bread, bean-paste stew, kimchi, culinary vegetables, and greasy foods were the most affected by each food preference. Our results suggest that food consumption frequency may vary with food preference, income, drugs, alcohol, marital status, sex, and dysgeusia, and nutrition education should be formulated to prevent stroke recurrence based on the food preferences, subjective tastes, and risk factors of individual stroke patients.

• 경영과학
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• 제28권3호
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• pp.73-82
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• 2011

Basel II advanced measurement approaches for operational risk need to estimate the frequency and severity distribution of operational losses. Due to lack of internal loss data, the estimation is impossible in many cases and so external loss data might be used by scaling on asset or gross income. To get around lack of loss data, scenario analysis combined with loss distribution approach can be useful in calculating the capital charge of operational risk. However, scenario based loss distribution approach requires much time and effort. Instead we may apply the analytic hierarchy process to measure operational risk of financial institutions. The analytic hierarchy process combined with loss distribution approach is to estimate the capital charge of operational risk in other areas based on the operational VaR in an area with sufficient loss data. AHP provides a tool for timely measurement of operational risk in this rapidly changing global environment.