• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.53-55
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• 2013

우리나라의 최근 수년간 선박의 교통관련 사고(충돌, 좌초, 접촉)를 분석해 보면 가장 많이 일어나는 사고가 충돌이고, 그 다음으로 많이 발생하는 사고는 좌초이다. 그동안 충돌 사고에 관한 연구는 활발히 진행되었지만, 그에 반해 좌초의 사고 빈도가 높음에도 불구하고 많은 연구가 이루어지지 않았다. 본 연구에서는 선박이 아닌 제 3의 위치에서 실시간으로 좌초 위험도를 계산하는 모델을 연구하였다. 위험도를 수심, DCPA, TCPA를 이용하여 0~100의 값으로 산출하였으며, 이 연구의 최종 목표는 전자해도 상에 색상을 달리하여 해역 전체의 위험도를 표시하는 프로그램을 개발하는 것이다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.267-273
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• 2015

For newly incoming technologies owing to the advancements in information and communications technology, the new form of information occurs due to the combination form of personal information. In turn, personal information which is combination with existing personal information is on the increase. It is difficult to equalize the method in order to analysis the degree of risk for personal information because it is qualitative method which is defined on the current Personal Information Protection Law. This dissertation presents the model to assess the degree of risk by using the IPA(Importance-Performance Analysis) after measuring the importance and the weighted value for the personal information based on the existing the method of risk assessment. Through the model suggested in this dissertation, the subjective judgement can be excluded, the combination of personal information can be assessed and the standard criteria which is used as the objective indicators from the quantitative degree of risk can be suggested.

• Journal of the Korean Institute of Gas
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• v.12 no.2
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• pp.110-117
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• 2008

The risks of the chemical facilities were estimated by the KS-RBI(Ver. 3.0) program supporting the quantitative cause analysis, and reduction method for the risks of the facilities was investigated. As a result, we could find that the risks of the facilities decrease with reducing the likelihood of failure (LOF) affected by demage mechanism, inspection number and effectiveness of inspection, and with reducing the consequence of failure (COF) affected by the ratings of the detection, isolation, and mitigation systems. Furthermore, high risks of the facilities would be decreased by reduction of the LOF and the COF simultaneously. Accordingly, the applied plant would be able to achieve the decrease of inspection and labor costs because of the decrease of consequences and inspection intervals through the reduction of risks.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.4
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• pp.779-791
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• 2021

Common web services have been continuously targeted by hackers due to an access control policy that must be allowed to an unspecified number of people. In order to cope with this situation, companies regularly check web vulnerabilities and take measures according to the risk of discovered vulnerabilities. The risk of these web vulnerabilities is calculated through preliminary statistics and self-evaluation of domestic and foreign related organizations. However, unlike static diagnosis such as security setting and source code, web vulnerability check is performed through dynamic diagnosis. Even with the same vulnerability item, various attack results can be derived, and the degree of risk may vary depending on the subject of diagnosis and the environment. In this respect, the predefined risk level may be different from that of the actual vulnerability. In this paper, to improve this point, we present a web vulnerability risk assessment model based on the attack result centering on the cyber kill chain.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.10
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• pp.1459-1466
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• 2010

This study was performed to identify the association between the metabolic syndrome and the biochemical measurements and nutrient intakes. A total of 1,431 people (533 males, 898 females) aged over 45 years living in Andong rural area participated in this study in 2003. Plasma aspartate aminotransferase (AST), alanine aminotransferase (ALT), $\gamma$-glutamyl transferase ($\gamma$-GT) and thiobarbituric acid reactive substances (TBARS) levels in metabolic syndrome were significantly higher than those in normal group. In multiple logistic regression, those biochemical measurements were found to be positively associated with the metabolic syndrome as the adjusted odds ratios (OR) 1.839 (p<0.001) by AST, 2.302 (p<0.01) by ALT, 2.143 (p<0.001) by $\gamma$-GT, and 1.874 (p<0.001) by TBARS. We also found that the increased level of those measurements tended to be strongly associated with high triglyceride among the metabolic syndrome components. However, the nutrient intakes between the metabolic syndrome and the normal group were not significantly different. Also, we could not find any nutrient intakes significantly associated with the metabolic syndrome, except high carbohydrate intake (>70% of kcal) compared to normal intake (55~70% of kcal) showed OR 0.781 (p<0.05). In analyzing the association of nutrient intakes with metabolic syndrome components, we found that the calorie intake was negatively associated with abdominal obesity (OR 0.696, p<0.05) and high fat intake (>25% of kcal) was positively associated with low HDL-cholesterol (OR 1.864, p<0.05). This study revealed that the biochemical measurements, such as plasma AST, ALT, $\gamma$-GT, and TBARS, are associated with metabolic syndrome, but considering the nutrient intakes, we suggest that further studies are needed to identify the associations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.863-871
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• 2018

Existing vulnerability analysis tools are prone to missed detections, incorrect detections, and over-detection, which reduces accuracy. In this paper, cross-checking based on a vulnerability detection method using static and dynamic analysis is proposed, which develops and manages safe applications and can resolve and analyze these problems. Risks due to vulnerabilities are computed, and an intelligent vulnerability detection technique is used to improve accuracy and evaluate risks under the final version of the application. This helps the development and execution of safe applications. Through incorporation of tools that use static analysis and dynamic analysis techniques, our proposed technique overcomes weak points at each stage, and improves the accuracy of vulnerability detection. Existing vulnerability risk-evaluation systems only evaluate self-risks, whereas our proposed vulnerability risk-evaluation system reflects the vulnerability of self-risk and the detection accuracy in a complex fashion to evaluate relative. Our proposed technique compares and analyzes existing analysis tools, such as lists for detections and detection accuracy based on the top 10 items of SANS at CWE. Quantitative evaluation systems for existing vulnerability risks and the proposed application's vulnerability risks are compared and analyzed. We developed a prototype analysis tool using our technique to test the application's vulnerability detection ability, and to show that our proposed technique is superior to existing ones.

• Journal of the military operations research society of Korea
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• v.33 no.1
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• pp.31-42
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• 2007

While Defense Agency fur Technology and Quality(DTaQ) has been utilized a risk assessment method as a quality assurance activity for defense goods since 1999, a risk assessment method is known to be ineffective to identify defective items. The objective of this study is to propose the new evaluation method, that adjusts a relative priority of evaluation elements using AHP(Analytic Hierarchy Process). Newly evaluated scores have been applied to the risk assessment result of 2005 defective items to test a validity of the new evaluation model. The new model is capable to identify more high and medium risk-level items than the current method. The company risk-level gets more scores than the item risk-level in the new model.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.77-93
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• 2022

In this study, we present an algorithm that analyzes the risk by reflecting regional characteristics for factors affected by direct and indirect damage from heavy-snow. Factors affected by heavy-snow damage by 29 regions are selected as influencing variables, and the concept of sensitivity is derived through the relationship with the amount of damage. A snow damage risk prediction model was developed using a machine learning (XGBoost) algorithm by setting weather conditions (snow cover, humidity, temperature) and sensitivity as independent variables, and setting the risk derived according to changes in the independent variables as dependent variables.

• Journal of Radiation Protection and Research
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• v.24 no.3
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• pp.131-142
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• 1999

By using the Korean demographic data and the modified relative risk projection model given in the Committee on the Biological Effect of Ionizing Radiation (BEIR) report-V under the U.S. National Academy of Science, the radiogenic excess risk in Korean population has been evaluated. On the basis of this risk, a safety goal for the safe operation of domestic nuclear power plants has been further derived in terms of personal dose. The baseline risk of death due to all causes in Korea and the trivial risk level, which the society considers safe, were estimated to be $5.2{\times}10^{-3}$ and $5.2{\times}10^{-6}$, respectively. The radiogenic excess cancer risk in Korea has been estimated to be $5.2{\times}10^{-3}$ for tie case of acute exposure to 0.1 Gy and $3.7{\times}10^{-3}$ for the case of chronic lifetime exposure to 1.0 mGy/y. On the basis of these risks estimate, the resulting safety goal for one year opeation of a reactor was 0.05 mSv, which is quite identical with the ALARA guideline prescribed by the USNRC in the Appendix I, 10CFR50.

• Journal of Korean Society of Transportation
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• v.17 no.2
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• pp.29-40
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• 1999

복잡한 현대 문명 생활을 영위하는 가운데 각종 위험물질이 날마다 생산되어 운반되어지고 있다. 이러한 위험물질이 운반되는 과정에서 위험물사고발생은 불가피하다. 위험물사고는 발생확률은 낮지만 일단 사고발생시 인명, 환경, 재산피해가 심각하기 때문에 가능한 한 피해를 최소화하기 위한 대책이 필요하다. 본 연구에서는 공로수송에 있어 위험물질운송에 따른 경로별 위험도 분석을 위한 모형을 개발하고, 본 모형에 기초하여 계산된 링크별 위험도를 낮추기 위한 대책을 제시하였다. 각 링크별 위험도를 계산하기 위해서는 링크별 교통량, 사고 데이타 및 위험물질별 사고시 피해영향규모 등을 결정해야 하는 바, 이러한 작업은 사실상 수작업으로 불가능하다. 이를 자동적으로 수행하는 방안으로 지리정보시스템을 활용하였다 또한, 여러 가지 위험물질별 위험도 분석에서 위험물사고 저감대책, 위험물사고시 피해최소화 대책 등 일련의 작업을 하나의 시스템에서 이루어지도록 하는 의사결정지원시스템 형태의 위험물수송관리시스템으로 개발하였다. 최종적으로는 위험물질 중 대부분을 차지하는 석유.화학물질을 가장 많이 다루는 지역인 울산지역을 시범지역으로 선정하여 본 연구에서 제시한 모형을 적용해 보았다.