• 에너지공학
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• 제28권3호
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• pp.10-17
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• 2019

국내 친환경 수소차 보급 정책에 따라 수소차와 수소충전소 인프라 개발에 대한 관련 업계의 연구는 활발하게 진행 중이다. 반면에 수소차와 수소충전소의 내구성 및 신뢰성에 직접적인 영향을 주는 기밀용 비금속 소재(라이너, 씰, 개스킷 등)의 위험성 평가 및 재료에 관한 실증 연구는 부족한 실정이다. 이에 본 연구에서는 FMEA를 활용하여 고압 수소 설비에 사용되는 비금속 부품의 라이너와 씰에 대한 위험요소를 도출한 후 심각도, 발생빈도, 검출도 등급을 점수로 환산하여 RPN값을 산정하였다. RPN의 최대값 600, 최소값 63, 평균값이 278.5로 산출되었으며, 라이너와 씰에 대한 주기적인 관리가 중요함을 확인하였다. 더불어 비금속 고무제품에 대한 수소침지와 산소노화시험을 통해 기초 자료로 활용 가능한 물리적 실험값을 제시하고자 하였다.

• 여성건강간호학회지
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• 제25권2호
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• pp.194-206
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• 2019

Purpose: Maternal Fetal Intensive Care Unit (MFICU), which provides intensive care to high-risk mothers with increasing maternal age and high-risk newborns, has become a new field of nursing work in South Korea. The present study was conducted to identify the educational needs and self-assessing clinical competence of nurses in MFICU. Methods: The education needs and competencies of MFICU nurses were measured through prepared questionnaires by researchers based on the previous studies on job analysis of nurses in MFICU. Data were collected from January 2019 to March 2019. The study involved 168 nurses working in MFICUs at 12 hospitals nationwide as study subjects. The data were analyzed using the SPSS WIN 23.0 program. Results: The education needs of nurses in MFICU had an average of 4.21 points (${\pm}0.50$) and their nursing competence was average 3.38 points (${\pm}0.60$). The items reported as high education needs but low competency by nurses in MFICU were as following: 'postpartum hemorrhage and shock,' 'cardiopulmonary resuscitation (CPR) for neonate,' 'CPR during pregnancy,' 'disseminated intravascular coagulation,' 'sepsis,' and 'mechanical ventilation during pregnancy.' Conclusion: Based on these results, it is proposed that a comprehensive education program for nurses in MFICU should be developed by considering low capabilities among MFICU nurses as a priority factor.

• 한국산학기술학회논문지
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• 제22권1호
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• pp.751-758
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• 2021

군수품은 품질 보증을 위해 개발과 양산단계에서 위험 식별을 수행해야 한다. 위험 식별은 부품, 구성품, 계통 등에 대한 고장 요소를 분석하는 것으로, 다양한 신뢰성 기법 중에서 고장 모드 영향 분석(FMEA)을 이용하고 있다. FMEA는 위험 식별 중 고장 요인에 대하여 분석하는 방법으로, 위험도(RPN)를 통해 관리할 수 있다. FMEA는 심각도, 발생도, 검출도가 같은 중요도로 평가되기 때문에 단점을 가진다. 퍼지 FMEA는 FMEA의 단점을 보완하기 위해 퍼지이론을 이용한 것이다. 퍼지 이론은 현상의 불확실한 상태를 표현해주는 방법으로, 정량적인 값을 제공한다. 본 논문에서, 퍼지 FMEA는 회전익 항공기 착륙장치의 고장 모드에 대한 객관적인 평가를 위해 적용되었다. 착륙장치에 대한 위험도 분석을 위해, 퍼지 규칙과 소속 함수를 구성하였다. 퍼지화 모델은 심각도, 발생도, 검출도의 크리스프(crisp) 값을 이용하였고, 위험도를 도출하였다. 착륙장치에 대한 퍼지 FMEA 결과는 위험도와 우선순위를 분석할 수 있다. 퍼지 FMEA는 회전익 항공기의 품질 보증 활동에서 기초자료로 활용할 수 있음을 확인하였다.

• 융합정보논문지
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• 제12권5호
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• pp.107-115
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• 2022

본 연구는 공급사슬 취약성의 동인과 내·외부 분열적 상황을 규명하고 공급사슬 위험관리가 성과 피해를 완화하는 조절효과를 검증하는 것을 목적으로 한다. 182개 중소기업을 대상으로 한 분석결과는 다음과 같다. 첫째, 공급사슬 취약성은 글로벌화, 제품 다양화 등 기업의 과도한 효율성에서 비롯되었음을 확인하였다. 둘째, 외부 환경적 분열요인보다 내부요인의 발생 가능성과 심각성이 더욱 높게 나타났다. 특히, 기업 내부의 가치사슬보다는 기업 간 공급사슬 프로세스에서 발생하는 위험의 대응 우선순위가 높았다. 마지막으로 공급사슬 위험관리의 수준이 높을수록 성과 피해를 긍정적으로 완화하는 조절효과가 나타났다. 본 연구는 공급사슬 위험에 대응하는 기업실무자와 정책 입안자의 의사결정에 실행적 단서를 제공하는 것에 가치가 있다.

• Child Health Nursing Research
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• 제11권2호
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• pp.240-245
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• 2005

The problem of childhood obesity is accelerating throughout the world. Korea is no longer an exception to this problem. The following topics are discussed in this review article: 1) the linkage between childhood obesity and adult obesity, which is often associated with metabolic diseases such as type2 diabetes, hypertension, cardiovascular diseases, and certain cancers; 2) characteristics of childhood obesity; 3) measurement of obesity and its unique problem; 4) recent trends in interventions for childhood obesity. Lastly, the author points out that nurses are best suited for carrying out interventions to prevent obesity in childhood. As childhood obesity is a risk factor for persistence of obesity into adulthood, the need to consider the priority of prevention of obesity during childhood is emphasized in this review.

• Journal of Ecology and Environment
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• 제36권4호
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• pp.267-271
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• 2013

To examine the density effect and food concentration in the competitive output of two Bosmina species, the population growths of Bosmina fatalis were investigated by manipulating the density of B. longirostris and the concentration of algae. The B. fatalis density did not increase in conditions with abundant B. longirostris regardless of the food concentrations. The B. fatalis increased only at low densities of B. longirostris with high food concentrations. Based on the current results, a possible mechanism underlying the seasonal shift from B. longirostris to B. fatalis in Japanese eutrophic lakes will be explored below.

• Journal of Preventive Medicine and Public Health
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• 제36권3호
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• pp.213-222
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• 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.

• 한국항공운항학회지
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• 제18권3호
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• pp.92-98
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• 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
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.2337-2341
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• 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
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• 제1권2호
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• pp.1-10
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• 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.