• Journal of Preventive Medicine and Public Health
• /
• v.36 no.3
• /
• pp.213-222
• /
• 2003

Genomic epidemiology is defined as 'an evoking field of inquiring that uses the systematic application of epidemiologic methods are approaches in population-based studies of the impact of human genetic variation on health and disease (Khoury, 1998)'. Most human diseases are caused by the intricate interaction among environmental exposures and genetic susceptibility factors. Susceptibility genes involved in disease pathogenesis are categorized into two groups: high penetrance genes (i.e., BRAC1, RB, etc.) and lour penetranoe genes (i.e., GSTs, Cyps, XRCC1, ets.), and low penetrance susceptibility genes has the higher priority for epidemiological research due to high population attributable risk. In this paper, the summarized results of the association study between single nucleotide polymorphisms (SNPs) and breast cancer in Korea were introduced and the international trends of genomic epidemiology research were reviewed with an emphasis on internee-based case-control and cohort consortium.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.18 no.3
• /
• pp.92-98
• /
• 2010

The AHP methodology compares criteria, or alternatives with respect to a criterion, in a natural, pairwise mode. AHP has been applied in a wide variety of applications multi objective decision making being just one. If a group of expert with different aspect, they need some way to revise expert group. We proposed the concatenation of expert to survey the AHP pairwise question for multi-attribute decision making. In this paper, we suggest a way to revise the expert's priorities in hierarch using concept of different group opinion.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.2337-2341
• /
• 2005

This paper presents the target detection method using Support Vector Machines(SVMs) and the navigation system using behavior-based fuzzy controller. SVM is a machine-learning method based on the principle of structural risk minimization, which performs well when applied to data outside the training set. We formulate detection of target objects as a supervised-learning problem and apply SVM to detect at each location in the image whether a target object is present or not. The behavior-based fuzzy controller is implemented as an individual priority behavior: the highest level behavior is target-seeking, the middle level behavior is obstacle-avoidance, the lowest level is an emergency behavior. We have implemented and tested the proposed method in our mobile robot "Pioneer2-AT". Comparing with a neural-network based detection method, a SVM illustrate the excellence of the proposed method.

• Journal of Construction Engineering and Project Management
• /
• v.1 no.2
• /
• pp.1-10
• /
• 2011

Bridges are critical and valuable components in any road and rail transportation network. Therefore bridge remediation has always been a top priority for asset managers and engineers, but identifying the nature of true defect deterioration and associated remediation treatments remains a complex task. Nowadays Decision Support Systems (DSS) are widely used to assist decision makers across an extensive spectrum of unstructured decision environments. The main objective of this research is to develop a requirements-driven methodology for bridge monitoring and maintenance which has the ability to assess the bridge condition and find the best remediation treatments using Simple Multi Attribute Rating Technique (SMART); with the aim of maintaining a bridge within acceptable limits of safety, serviceability and sustainability.

• Asia pacific journal of information systems
• /
• v.13 no.2
• /
• pp.67-85
• /
• 2003

This study was conducted to analyze Korean companie's perception in IT investment cost-benefit analysis(CBA), and to see if various user group's perception is different. Literature was reviewed to classify and define variables in IT CBA, and questionnaire was distributed to CEOs, CIOs, IT managers, and general managers in Korean companies. Respondent's priority ranking in IT CBA was shown to be tangible benefit, direct cost/intangible benefit, and indirect cost/risk. Data analysis showed that Korean companie's actual practice in CBA was generally aligned with their perception. User group's(Executives vs. mangers, and IT managers vs. general managers) perception was not shown to be statistically different. Survey result also showed that IT CBA was not well practiced in the companies although respondents perceive the analysis very important. These findings suggest that more education and practical experience is needed for Korean companies to perform IT CBA.

• Journal of Applied Reliability
• /
• v.17 no.1
• /
• pp.11-21
• /
• 2017

Purpose: The occurrence ranks of failure modes can come from the real failure but the severity ranks of failure modes require a highly subjective point of view of users. The severity ranks have to find more objective and scientific values. Methods: We found the optimal values by using the correlation analysis between failure mode effects and the criticality number like RPN (Risk Priority Number) in RCM. Result: This paper shows the result that verified whether the weighted values on each failure effect in criticality number calculation is suitable to the actual failures or not. To get the verification, it used the 5 year data and correlation analysis. Based on the analyzed result, We proposed the more suitable values. Conclusion: This correlation analysis approach can provide guidance of RCM analysis across many industries and situations.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2003.11a
• /
• pp.459-460
• /
• 2003

이미 우리나라의 대기오염 수준은 심각한 것으로 평가되고 있으나(환경부, 2002a), 대기오염의 배출 및 노출 특성을 반영하지 못하고 오염물질의 독성 위주로 관리되고 있어, 사전예방의 저감 대책을 효율적으로 수립하지 못하고 있는 실정이다(환경부, 2002a; 박화성, 2003). 이러한 대기오염을 효율적으로 관리하기 위해 최근 위해도에 입각한 관리안이 수립되어야 한다고 제안되고 있으나,(아주대학교, 2002) 실제 오염물질의 모든 측면을 평가하여 우선순위를 결정하는 것은 시간이나 재원이 부족한 실정으로 위해도에 기초한 논리적으로 손쉬운 방법 개발을 필요로 한다(Gary A.D. et al. 1994; Mary B.S et al. 1997a). (중략)

• Safety and Health at Work
• /
• v.11 no.2
• /
• pp.241-243
• /
• 2020

Coronavirus disease 2019 poses an occupational health risk to health-care workers. Several thousand health-care workers have already been infected, mainly in China. Preventing intra-hospital transmission of the communicable disease is therefore a priority. Based on the Systems Engineering Initiative for Patient Safety model, the strategies and measures to protect health-care workers in an acute tertiary hospital are described along the domains of work task, technologies and tools, work environmental factors, and organizational conditions. The principle of zero occupational infection remains an achievable goal that all health-care systems need to strive for in the face of a potential pandemic.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.11a
• /
• pp.224-227
• /
• 2017

정보통신 기술이 발전하면서 범국가적으로 사이버 환경은 사람들에게 없어서는 안 될 존재가 되었다. 이러한 사이버 환경은 간혹 악의적인 사이버 공격자로 인해 파괴되거나 손상된다. 본 논문에서는 사이버 공격에 대한 위험 지수를 개발 방안을 제시한다. 위험 지수에 대한 개발이 이루어진 후 위험 지수와 사이버 공격 횟수끼리 계산하여 값을 산출시킨다. 산출된 값은 곧 공격에 대한 중요도 점수로 표현되며, 이 값에 따라 사이버 전투 피해 평가 항목의 우선순위를 알 수 있게 된다.

• Journal of Korean Society for Quality Management
• /
• v.35 no.1
• /
• pp.1-9
• /
• 2007

Failure mode and effects analysis (FMEA) is a widely used technique to assess or to improve reliability of products at early stage of design and development. Traditionally, the prioritization of failures for corrective actions is performed by developing a risk priority number (RPN). In practice, due to insufficient evaluation criteria specific to related product and processes, RPN is not properly evaluated. This paper reestablishes an effective methodology for prioritization of failure modes in FMEA procedure. Revised evaluation criteria of RPN are devised and a refined FMEA sheet is Introduced. To verify the proposed methodology, it is applied to RPN evaluation for motors in household appliances.