• Journal of Multimedia Information System
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• v.2 no.2
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• pp.241-248
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• 2015

The safety-critical software in healthcare systems needs more and more perceptive excess among human observation and computer support. It is a challenging conversion that we are fronting in confirming security in healthcare systems. Held in the center are the patients-the most important receivers of care. Patient injuries and fatalities connected to health information technologies commonly show up in the news, contrasted with tales of how health experts are being provided financial motivation to approve the products that may be generating damage. Those events are unbelievable and terrifying, however they emphasize on a crucial issue and understanding that we have to be more careful for the safety and protection of our patients.

• 시스템엔지니어링워크숍
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• s.1
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• pp.65-68
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• 2003

The air separation plants in the POSCO's Gwangyang Steel Works require high standard on quality as well as reliability as they have to continuously supply essential utility gases as oxygen, nitrogen and argon. And the plants are in the category of high pressure gas systems by the regulatory guidelines, which signifies that they have to maintain utmost level of safety. As an effort to systematically understand and calculate the risk potentials in the air separation plants, risk assessments have been performed on a phased approach: qualitative and followed by quantitative POSCO has chosen to use hazard and operability study and fault tree analysis to satisfy the requirement. As a result, the risk assessment team has identified number of safety and operability related findings. With importance of each and ever findings calculated, a priority list for what/when to do for them could have been presented on a balance fashion.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.298-299
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• 2015

수중함에서 전력시스템(PS:Power System)이란 함의 추진시스템 뿐만 아니라 함 내에 모든 부하들의 전력공급을 담당하는 매우 중요한 요소이다. 수중함에 있어 전력시스템의 고장은 안정성에 직결되는 요소이므로 이에 대한 분석과 신뢰성 확보는 필수적이다. 본 논문에서는 수중함의 전력생산부에서부터 부하까지 전력이 공급되는 과정을 전기계통도로 표현하여 이에 대해 고장나무분석을 실시하였으며, 기본구조와 계통 여유율을 고려한 전기적 구조의 고장나무분석을 실시하여 이에 따른 구조변화를 비교한다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.296-297
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• 2015

본 논문에서는 수중함의 전력시스템에 대한 안정성과 신뢰성 분석을 위해 고장나무분석 수행한 결과를 제시한다. 본 논문의 고장나무분석 결과는 추후 수중함 설계 시 현재의 전력 계통 체계에서 전력 생산부와 전력 변환부의 장비 추가와 전력 배전부 구조의 변경가능하게 함으로써 더 우수한 신뢰성과 안정성을 갖는 수중함을 설계 할 수 있는 설계 가이드라인을 제시한다.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.36 no.4
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• pp.231-239
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• 1987

Distribution system is one of large and complicated sytem, consisted of a great number of components. Therefore efficient operation based on precise analysis and computation methods is indispensable accommodating growing loads. This paper describes an optimal operation problem to relieve overload flow in radial distribution systems by using modified block model. The problem is formulated as a network problem of synthesizing the optimal spanning tree in a graph, branch and bound method is used for the optimization. Especially modified block model proposed in this paper is validated more practical than conventional model. These methods can be applied to two types of distribution system problems such as, 1) planning problem to check the capability of relieving overload at normal rating, 2) emergency operation problem to determine switching scheme for minimizing customer loads affected by a fault. Examples of application to these problems are discussed.

• Journal of Energy Engineering
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• v.26 no.4
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• pp.23-28
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• 2017

Hazard evaluation and FTA are performed as the first and the second step of QRA for a LNG storage tank. Hazards are identified using HAZOP. Each segment of the system is examined, and we list all possible deviations from normal operating conditions and how they might occur. The consequences on the process are assessed, and the means available to detect and correct the deviations are reviewed. The FTA is carried out to analyse the hazards identified from the HAZOP study. A top event is selected to be release of LNG. Then all combinations of individual failures that can lead to the hazardous event are shown in the logical format of the fault tree system.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.381-386
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• 2002

2002년 7월 1일부터 시행되는 제조물 책임법에 대비하여 기업에서 준비하여야 하는 사항중에 가장 어려움을 느끼는 부분중의 하나가 제품의 안전성 평가 부문이다. 제품의 안전성 평가는 과거의 성능검사나 특성검사가 아니라, 사용자의 오사용으로 야기될 수 있는 위험성의 평가까지도 고려하여야 한다. 이에 대표적인 정량적 안전성 평가기법인 FTA(Fault Tree Analysis)를 사용하여 전기 밥솥에 대한 정량적 평가를 실시하여 보았다. 전기밥솥에서의 잠재위험 중 가장 피해가 클것으로 생각되는 화재를 정상사상으로 하고 이에 대하여 m.cutset 분석과 빈도분석 등을 시행하여 제품안전성평가의 과정과 분석방법들을 설명한다.(중략)

• Journal of the Korean Society of Safety
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• v.18 no.4
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• pp.155-163
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• 2003

The intensity of industrial accidents has been increased while the number of industrial accidents has been decreased in theses days. It represents that we need safety guidelines based on personal attributes as well as physical attributes. This study tries to identify major causative factors for industrial accidents and to suggest an evaluation model based on personal attributes. Specifically, relationship between self-efficacy belief associated with industrial safety and other relative personal attributes has been analyzed. First, FGI(Focus Group Interview) was conducted to identify important personal attributes of industrial accidents. The questionnaire was prepared based on the results of FGI and was applied to identifying personal attributes. The relationship between personal attributes identified in this study and self-efficacy belief was assessed using fuzzy logic and fault tree analysis. The results of the assessment showed that self-efficacy belief was closely associated with industrial accidents. Specifically, workers with accident experience had higher level of self-efficacy beliefs than workers without accident experience.

• Proceedings of the KIPE Conference
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• 2015.07a
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• pp.437-438
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• 2015

수중함 전력시스템(UVPS: Underwater Vehicle Power System)은 함 내에 모든 부하들의 전력 공급을 담당하는 시스템으로서 전력 계통의 안정적인 운영을 위하여 수중함 전력시스템의 신뢰성 확보는 매우 중요한 요소이다. 본 논문에서는 기본형태의 수중함 전력시스템과 장비 여유율을 고려한 수중함 전력시스템의 전기 계통 구성을 비교하고 이에 따른 고장나무 분석을 실시하여 장비 여유율을 고려한 수중함 전력시스템의 신뢰성 향상을 확인한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.75-77
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• 2021

전력 생산의 효율을 높이고 지속적인 공정관리를 위해 전력 설비 데이터의 패턴을 분석하고 원인이 되는 주요 변수를 찾는 것이 중요하다. 따라서, 본 연구에서는 전력 설비 데이터의 패턴을 분석하기 위해 데이터를 군집화하고 연구 방법으로 Decision Tree, Random Forest와 ResNet을 이용하여 패턴을 분류하였다. Class Activation Map을 이용하여 설비데이터의 원인이 되는 주요 변수를 확인하였다. 본 연구를 통해 전력 설비 데이터의 분류 및 원인 분석이 가능한 통합적 솔루션을 제시하고자 한다.