• Journal of the Korean Data and Information Science Society
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• v.20 no.3
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• pp.515-526
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• 2009

Pricing based on proper risk has been one of main issues in auto insurance. In this paper, we review how the techniques of pricing in auto insurance have been developed and suggest a better approach which meets the existing risk statistically by comparison. The generalized linear model (GLM) method is discussed for pricing with different distributions. With GLM approach, the distribution of error assumed plays an main role for the best fit corresponding to the characteristics of dependent variables. Tweedie distribution is considered as one of error distributions in addition to widely used Gamma and Poisson distribution. With these different types of error assumption for estimating the proper premium in auto insurance, various modeling approaches are possible. In this paper, various modeling approaches with different assumptions for estimating proper risk is discussed and also real example is given by assuming different.

• Journal of Radiation Protection and Research
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• v.46 no.1
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• pp.14-23
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• 2021

Background: For radiological protection and control, the International Commission on Radiological Protection (ICRP) provides the nominal risk coefficients related to radiation exposure, which can be extrapolated using the excess relative risk and excess absolute risk obtained from the Life Span Study of atomic bomb survivors in Hiroshima and Nagasaki with the dose and dose-rate effectiveness factor (DDREF). Materials and Methods: Since it is impossible to directly estimate the radiation risk at doses less than approximately 100 mSv only from epidemiological knowledge and data, support from radiation biology is absolutely imperative, and thus, several national and international bodies have advocated the importance of bridging knowledge between biology and epidemiology. Because of the accident at the Tokyo Electric Power Company (TEPCO)'s Fukushima Daiichi Nuclear Power Station in 2011, the exposure of the public to radiation has become a major concern and it was considered that the estimation of radiation risk should be more realistic to cope with the prevailing radiation exposure situation. Results and Discussion: To discuss the issues from wide aspects related to radiological protection, and to realize bridging knowledge between biology and epidemiology, we have established a research group to develop low-dose and low-dose-rate radiation risk estimation methodology, with the permission of the Japan Health Physics Society. Conclusion: The aim of the research group was to clarify the current situation and issues related to the risk estimation of low-dose and low-dose-rate radiation exposure from the viewpoints of different research fields, such as epidemiology, biology, modeling, and dosimetry, to identify a future strategy and roadmap to elucidate a more realistic estimation of risk against low-dose and low-dose-rate radiation exposure.

• Wind and Structures
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• v.22 no.5
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• pp.543-553
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• 2016

The growing complexity of modern technological systems requires more flexible and powerful reliability analysis tools. Existing tools encounter a number of limitations including lack of modeling power to address components interactions for complex systems and lack of flexibility in handling component failure distribution. We propose a reliability modeling framework based on the Bayesian network (BN). It can combine historical data with expert judgment to treat data scarcity. The proposed methodology is applied to wind turbines reliability analysis. The observed result shows that a BN based reliability modeling is a powerful potential solution to modeling and analyzing various kinds of system components behaviors and interactions. Moreover, BN provides performing several inference approaches such as smoothing, filtering, what-if analysis, and sensitivity analysis for considering system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.343-348
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• 2004

Since the destruction of World Trade Center the attention of the united States and the wider international community has focussed upon the need to strengthen security and prevent terrorism. This paper suggests an analysis prior to risk factor and structure for anti-terrorism in the korean maritime society. For this, in this paper, maritime terror risk factor was extracted by type and case of terror using brainstorming method. Also, risk factor is structured by FSM method and analyzed for ranking of each risk factor by AHP. At the result, the evaluation of risk factor is especially over maximum factor for related external impact.

• Journal of Navigation and Port Research
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• v.29 no.6 s.102
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• pp.487-493
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• 2005

Since the destruction of World Trade Center the attention of the United States and the wider international community has focussed upon the need to strengthen security and prevent terrorism This paper suggests an analysis prior to risk factor and structure for anti-terrorism in the korean maritime society. For this, in this paper, maritime terror risk factor was extracted by type and case of terror using brainstorming method. Also, risk factor is structured by FSM method and analyzed for ranking of each risk factor by AHP. At the result, the evaluation of risk factor is especially over maximum factor for related external impact.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1997.10a
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• pp.24-31
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• 1997

Recently, in Korea, demand for establishment of systematic risk assessment techniques for construction projects has increased, especially after the large construction failures occurred during construction such as New Haengju Bridge construction projects, subway construction projects, gas explosion accidents etc. Most of existing risk analysis modeling techniques such as Event Tree Analysis and Fault Tree Analysis may not be available for realistic risk assessment of construction projects because it is very complex and difficult to estimate occurrence frequency and failure probability precisely due to a lack of data related to the various risks inherent in construction projects like natural disasters, financial and economic risks, political risks, environmental risks as well as design and construction-related risks. Therefor the main objective of this paper is to suggest systematic probabilistic risk assessment model and demonstrate an approach for probabilistic risk assessment using advanced Event Tree Analysis introducing Fuzzy set theory concepts. It may be stated that the Fuzzy Event Tree AnaIysis may be very usefu1 for the systematic and rational risk assessment for real constructions problems because the approach is able to effectively deal with all the related construction risks in terms of the linguistic variables that incorporate systematically expert's experiences and subjective judgement.

• Journal of Korean Society of societal Security
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• v.1 no.1
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• pp.53-62
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• 2008

Recently, the potential risks of tank lorry transportation from the petrochemical plant have been increasing, so the research was performed to build up the evaluation criterion of the transportation safety, as well as aggressive risk+assessment of a variety of chemical materials. This research was applied to the Maximum Credible Accident Analysis technique and modeled on the risk management of chemical transportation using the following four steps for risk evaluation, firstly the comparison of representative fype and standard of hand ling chemical materials transported by tank vehicles secondly, specific classification of potential hazards thirdly, grasp and recognition of virtual accident scenario at last, the risk evaluation of virtual accident scenario(qualitative/quantitative - chemical release modeling).

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.123-133
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• 2021

The purpose of this study was to analyze the influence of product quality factors, product risk, company reputation, and service quality on the purchase intention of insurance policies by customers in Indonesia. The variables in this study are product quality, service quality, company reputation, perceived risk, and purchase intention. This study uses a quantitative approach. Primary data were obtained from 154 respondents. Data processing and model testing use the Structural Equation Modeling procedure with Lisrel 8.80. At the significance level of 0.05, the research found that product quality had a positive and significant effect on purchase intention; product quality had a positive and significant effect on company reputation; product quality had a positive and significant effect on perceived risk perception; company reputation had a positive and significant effect on purchase intention; company reputation has a positive and insignificant effect on service quality; product quality has a positive, but non-significant effect on service quality; service quality has a positive and significant effect on purchase intention; perceived risk has a negative and significant effect on purchase intention; perceived risk has a positive and significant impact on service quality; and perceived risk has a positive and significant effect on company reputation.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.93-95
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• 2003

Vector-borne diseases have been the most important worldwide health problem for many years and still represent a constant and serious risk to a large part of the world’s population. GIS and RS is used to evaluate and model the relationships between environmental factors/indicators and the incidences of viral diseases. The aim of the study is to identify the risk factors in Dengue Haemorrhagic Fever DHF) from the highest prevalence area and lowest prevalence area in Sukhothai province, Thailand using statistical, spatial and GIS Modeling. Results obtained in the study of the Dengue show that it is now possible to identify and localize precisely environmental indicators and factors of viral diseases.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.141-156
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• 2018

The purpose of this study is how personal information violation risks affect the intention to use domestic cryptocurrency services. VAM(Value based Adoption Model) model is validated as a theoretical background, selecting perceived ease of use, perceived usefulness and perceived security as a benefit factors, and considers perceived cost, technical complexity, and risk of personal information violation risks as sacrifice factors. The method of this study used questionnaire survey to collect 150 data on user's perception on cryptocurrency services, and also performed a structural equation modeling method using by AMOS 23. The result of this paper shows that all hypotheses are accepted statistically significant except 2 hypothesis. This research is concluded that perceived value is affected on statistically positive impact on perceived ease of use, perceived usefulness and perceived security, and negative impact on risk of personal information violation risk, not statistically perceived fee and technical complexity.