• 한국환경과학회지
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• 제20권3호
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• pp.329-340
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• 2011

The probability concepts mainly used for rainfall or flood frequency analysis in water resources planning are the frequentist viewpoint that defines the probability as the limit of relative frequency, and the unknown parameters in probability model are considered as fixed constant numbers. Thus the probability is objective and the parameters have fixed values so that it is very difficult to specify probabilistically the uncertianty of these parameters. This study constructs the uncertainty evaluation model using Bayesian MCMC and Metropolis -Hastings algorithm for the uncertainty quantification of parameters of probability distribution in rainfall frequency analysis, and then from the application of Bayesian MCMC and Metropolis- Hastings algorithm, the statistical properties and uncertainty intervals of parameters of probability distribution can be quantified in the estimation of probability rainfall so that the basis for the framework configuration can be provided that can specify the uncertainty and risk in flood risk assessment and decision-making process.

• 인지과학
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• 제23권2호
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• pp.205-224
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• 2012

낮은 확률이지만 손실이 큰 위험한 사건에 대비해서 보험을 들려는 사람들은 확률의 차이에 어떻게 반응할까? 본 연구는 네 개의 실험에서 가상적인 화학 공장에서 발생할 위험한 사고의 확률을 직접 제시하거나 보험료, 보험금, 그리고 배율 보험금과 같은 간접적인 단서 정보를 제시하고 참여자의 위험 평정과 보험 구매 의사를 물었다. 참여자들은 보험료나 보험금보다는 배율 보험금으로 제시된 조건들에서 위험 사고의 확률 차이에 예민하게 반응하여 위험 지각을 평정하였다. 네 실험은 수렴해서 위험지각에 영향을 주는 직접 확률 정보에 대한 생태학적 타당도가 높은 단서가 배율 보험금임을 밝혔다. 본 연구의 결과는 위험의 지각에서 확률보다 빈도 정보를 강조하는 생태학적 단서 가설(Gigerenzer, 2000)의 예측과 일치한다.

• 디지털융복합연구
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• 제12권8호
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• pp.101-112
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• 2014

본 연구에서는 한국의 제품 안전관리를 위한 시나리오 기반의 리스크 평가기법을 개발, 제시한다. 이를 위해 먼저 한국의 제품 안전관리를 위한 관련 규제정책을 살펴보고, 이 법의 시행을 위해 필요한 제품 리스크 평가기법을 일반상해의 경우와 유해물질의 경우로 구분하여 제시한다. 본 연구에서 제시되는 리스크 평가기법의 특징은 다음과 같다. (i) 제품의 사용 시 발생할 수 있는 부상 시나리오에 기반을 둔 방법이다. (ii) 시나리오 발생 확률과 인체에 미치는 부상 심각도를 바탕으로 리스크를 평가한다. (iii) 유해물질 함유 제품의 경우 유해물질의 인체에의 위해성 여부를 확인한 후 부상 심각도를 고려해서 리스크를 평가한다. 부상 시나리오의 확률을 결정하기 위하여 본 연구에서는 시나리오를 몇 가지 구성 요인으로 분해하고 이들 각각의 요인 확률을 추정하여 전체 시나리오의 확률을 결정한다. 본 연구에서 제시된 기법을 통하여 리스크 평가를 수행한 결과를 제시하고 이를 제품 안전관리를 위한 품목 분류에 활용할 수 있음을 보인다.

• 한국지진공학회논문집
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• 제20권7_spc호
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• pp.485-494
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• 2016

The risk-based assessment, also called time-based assessment of structure is usually performed to provide seismic risk evaluation of a target structure for its entire life-cycle, e.g. 50 years. The prediction of collapse probability is the estimator in the risk-based assessment. While the risk-based assessment is the key in the performance-based earthquake engineering, its application is very limited because this evaluation method is very expensive in terms of simulation and computational efforts. So the evaluation database for many archetype structures usually serve as representative of the specific system. However, there is no such an assessment performed for building stocks in Korea. Consequently, the performance objective of current building code, KBC is not clear at least in a quantitative way. This shortcoming gives an unresolved issue to insurance industry, socio-economic impact, seismic safety policy in national and local governments. In this study, we evaluate the comprehensive seismic performance of an low-rise residential buildings with discontinuous structural walls, so called piloti-type structure which is commonly found in low-rise domestic building stocks. The collapse probability is obtained using the risk integral of a conditioned collapse capacity function and regression of current hazard curve. Based on this approach it is expected to provide a robust tool to seismic safety policy as well as seismic risk analysis such as Probable Maximum Loss (PML) commonly used in the insurance industry.

• 유통과학연구
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• 제18권9호
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• pp.31-43
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• 2020

Purpose: This study examined a comprehensive model for assessing the success probability of electric vehicle (EV) commercialization in the Korean market. The study identified three risks associated with successful commercialization which were technology, social, policy, environmental, and consumer risk. Research design, methodology: The assessment of the riskiness was represented by a Bayes belief network, where the probability of success at each stage is conditioned on the outcome of the preceding stage. Probability of success in each stage is either dependent on input (i.e., investment) or external factors (i.e., air quality). Initial input stages were defined as the levels of investment in product R&D, battery technology, production facilities and battery charging facilities. Results: Reasonable levels of investment were obtained by expert opinion from industry experts. Also, a survey was carried out with 78 experts consisting of automaker engineers, managers working at EV parts manufacturers, and automobile industry researchers in government think tanks to obtain the conditional probability distributions. Conclusion: The output of the model was the likelihood of success - expressed as the probability of market acceptance - that depended on the various input values. A model is a useful tool for understanding the EV industry as a whole and explaining the likely ramifications of different investment levels.

• 응용통계연구
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• 제24권4호
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• pp.575-586
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• 2011

본 연구는 보험산업에서 관심을 갖는 파산확률의 근사적 추이를 살펴보기 위하여 크레임의 분포가 정규변동성 성질을 갖는 사례를 통하여 파산가능성의 추이를 살펴보고, 정확한 파산확률 유도에 결정적인 역할을 하는 계수를 추정하는 실증연구에 초점을 둔다. 추정된 결정계수와 보험위험 확률모형의 안전지수와의 연관성을 분석하여 파산확률의 추이를 진단하는 방법도 함께 진행된다.

• Ocean Systems Engineering
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• 제12권3호
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• pp.267-284
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• 2022

A subsea pipeline designed across active shipping lane prones to failure against external interferences such as anchorage activities, hence risk assessment is essential. It requires quantifying the geometric probability derived from ship traffic distribution based on Automatic Identification System (AIS) data. The actual probability density function from historical vessel traffic data is ideal, as for rapid assessment, conceptual study, when the AIS data is scarce or when the local vessels traffic are not utilised with AIS. Recommended practices suggest the probability distribution is assumed as a single peak Gaussian. This study compares several fitted Gaussian distributions and Monte Carlo simulation based on actual ship traffic data in main ship direction in an active shipping lane across a subsea pipeline. The results shows that a Gaussian distribution with five peaks is required to represent the ship traffic data, providing an error of 0.23%, while a single peak Gaussian distribution and the Monte Carlo simulation with one hundred million realisation provide an error of 1.32% and 0.79% respectively. Thus, it can be concluded that the multi-peak Gaussian distribution can represent the actual ship traffic distribution in the main direction, but it is less representative for ship traffic distribution in other direction. The geometric probability is utilised in a quantitative risk assessment (QRA) for subsea pipeline against vessel anchor dropping and dragging and vessel sinking.

• 디지털융복합연구
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• 제15권11호
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• pp.107-112
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• 2017

이 논문은 전통적인 기대효용이론의 한계를 극복하기 위해 대안으로 제시된 Tversky와 Kahneman의 전망이론이 타당한지에 대해 실험연구를 통하여 검증하였다. 연구방법은 대학생 115명에게 가상적인 2개의 대안 중에서 하나를 선택하도록 하는 게임을 제시하였는데, 하나는 위험이 없는 안전한 투자안이며 다른 하나는 위험이 있는 투자안이다. 위험한 대안은 발생확률이 낮은 경우, 중간인 경우, 그리고 높은 경우로 구분하였으며, 게임의 금액도 이득이 발생하는 경우와 손실이 발생하는 경우로 나누었으며, 금액이 큰 경우와 작은 경우로 구분하여 실험을 하였다. 참가자들로부터 받은 응답을 최우추정법으로 분석한 결과, 이득의 상황에서 위험대안의 발생 가능성이 큰 경우에는 위험회피적, 위험대안의 발생 확률이 작은 때에는 위험선호적, 위험대안의 발생가능성이 작은 경우에는 위험회피적인 것으로, 그리고 위험대안의 발생확률이 중간인 경우에는 손실의 경우에만 통계적 유의성이 있었으며, 이득의 경우에는 유의적이지 않은 것으로 나타났다. 게임의 금액의 크기는 이득의 상황이건 손실의 경우이건 영향을 미치지 않았다. 따라서 본 연구의 결과는 Laury & Holt (2008)의 연구보다 대체로 더 강하게 전망이론을 지지하는 것으로 해석된다.

• 품질경영학회지
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• 제41권3호
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• pp.465-474
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• 2013

Purpose: To provide a variety of stable military supplies, risk should be avoided or removed. This paper aims to provide an objective method of risk assesment for risk matrix to evaluate risk level. Methods: According to previous results of risk assesment through risk matrix, some parameters and probability density functions, which include characteristics of military supplies, are selected and Risk matrix is modelled based on that. Results: Results show that a proposed method can evaluate objectively risk level through the stochastic modelling and provide well-balanced risk assessments by categorizing into 3 levels such as high, middle and low level risk. Conclusion: A current risk assessment method includes substantial subjectivity of risk assessment and as a problem about military supplies comes up, we can not show any appropriate evidences for decision of risk assessment. We propose an objective scheme employing stochastic modelling with parameters and probability density functions.

• 한국지진공학회논문집
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• 제19권3호
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• pp.93-102
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• 2015

This study evaluates collapse probabilities of structures which are designed according to a domestic seismic design code, KBC2009. In evaluating their collapse probabilities, to do this, probabilistic distribution models for seismic hazard and structural capacity are required. In this paper, eight major cities in Korea are selected and the demand probabilistic distribution of each city is obtained from the uniform seismic hazard. The probabilistic distribution for the structural capacity is assumed to follow a underlying design philosophy implicitly defined in ASCE 7-10. With the assumptions, the structural collapse probability in 50 years is evaluated based on the concept of a risk integral. This paper then defines an mean value of the collapse probabilities in 50 years of the selected major cities as the target risk. Risk-targeted spectral accelerations are finally suggested by modifying a current mapped spectral acceleration to meet the target risk.