• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.318-322
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• 2001

본 논문은 뉴로-퍼지 모델의 구조 학습을 이용한 단기 전력 수요 예측시스템에서 예측치별로 신뢰도를 계산하는 체계적인 방법을 제안한다. 예측시스템의 신뢰도를 추정하는 작업은 특히 신경회로망과 같은 경험적 모델을 실제 활용하기 위해서 필수적인 연구로 인식되고 있다. 본 논문에서 제안하는 출력별 신뢰 구간 계산 방법은 지역 표현하는 뉴로-퍼지 모델의 특성을 활용하여 학습된 퍼지 규칙 각각에 대해 신뢰도를 추정하는 Local reliability measure 기법을 사용한다. 제안된 신뢰도 계산이 가능한 단기 전력 수요 예측시스템은 먼저 결정 트리를 이용하여 초기 구조를 생성하고, 이를 초기 구조 뱅크에 저장한다. 저장된 초기 구조 뱅크를 이용하여 뉴로-퍼지 모델을 학습하고, 학습된 퍼지 규칙의 신뢰도를 추정한다. 제안된 시스템의 실효성을 검증하기 위해서 한국 전력에서 수집한 1996년과 1997년의 실제 전력 수요 데이터를 이용하여 한 시간 앞의 수요를 예측하는 모의 실험을 수행하고 실험 결과를 비교 분석한다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.693-703
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• 2003

최근 인터넷 쇼핑몰과 관련된 연구가 다양하게 이루어지고 있다. 또한 쇼핑몰 사용자의 경험적인 측면의 중요성이 제기되면서 많은 연구에서 이를 플로우란 개념으로 설명하고 있다. 본 연구는 인터넷 쇼핑몰에서의 최적 경험으로서의 플로우와 그 동안 인터넷 쇼핑몰 관련 연구에서 쇼핑몰에서의 고객 만족과 긍정적 관계에 대해 논의가 있어온, 신뢰와 만족과의 관계를 상호 독립적이 아닌 종합적 측면에서 매개성에 관한 검증을 위해 공분산 구조 분석을 통해 경쟁모델화 하여 비교함으로써 우수 모델을 도출하였다. 그 결과 인터넷 쇼핑몰에서 플로우와 신뢰는 상호 독립적인 관계를 고려한 모델 보다 동시성 차원의 매개성의 관계를 모두 고려한 포화모델이 우수한 모델로 도출되었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.329-335
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• 2019

Reliability growth analysis was conducted for a guided weapons system. In the development phase, reliability management activities were continuously carried out by identifying failure modes and causes and analyzing faults found during the testing. The missile system consists of an all-up-round missile and a launcher, and the analysis was carried out according to the test results of each system. The test results for the all-up-round missile were obtained with discrete data, which were success and failure as a one-shot-device. The test results for the launcher were obtained with continuous data by operating the equipment continuously in the test. For each test result, the reliability growth model was applied to the Standard Gompertz model and the Crow-Extended model. The models were used to identify the growth analysis results of the test so far. It was also possible to predict the reliability growth results by assuming the future test results. The study results could be useful in achieving the desired reliability goal and in determining the number of tests. Then, the planned test will be confirmed and the growth analysis of the missile system will continuously be conducted.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.151-167
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• 2016

Despite the seeming glamour and popularity of commercial modeling, the industry has a darker side. Many models fail to adapt to the profession, and there are frequent cases of models quitting after a relatively short period of time. For commercial modeling agencies, this high turnover rate causes considerable disruption to their business, negatively impacting credibility and leading to decreased sales. As such, this study aimed to investigate the turnover intention of commercial models in relation to professional identity, emotional labor, and role conflict, and to propose remedies for their high turnover intention. Towards this, the relationship between commercial models' turnover intention and the factors of professional identity, emotional labor, and role conflict, and further analyzed the moderating effect of self-belief, attractiveness, and ethical environment. The analysis found that the factors having the greatest effect on commercial models' turnover intention were, in order, role conflict, emotional labor, and professional identity. When hierarchical multiple regression analysis was used to analyze the moderating effect of self-belief, attractiveness, and ethical environment on the relationship between these independent variables and their effect on turnover intention, it was found that the negative impact of emotional labor on turnover intention is moderated by self-belief, and the negative impact of low professional identity on turnover intention is moderated by ethical environment. These findings underscore the importance of self-belief in commercial models, as emotional laborers, and suggest that commercial models are not born but are rather made, namely in a desirable work environment that is professional and well-organized.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.178-180
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• 2016

TMDE(Test Measurement and Diagnostic Equipment) which is using in the military weapon system should perform the periodic calibration to maintain a measurement reliability during the life cycle, organizations are faced with increasing pressures to minimize costs while improving the reliability of test equipment. Previous studies suggest that reliability models are determined by considering simple size and characteristics of equipment, however an applying single Model may not be fit well maintenance data of many kinds of TMDEs. This paper presents that recommending an optimal calibration interval through the goodness of fit test with verifying statistical significance level among the several intervals which are computed with using major reliability models. According to the result of applying the actual proposed of calibration interval analysis method for various types of equipment, reliabilities are maintained for the end of calibration intervals.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.12 no.2
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• pp.217-227
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• 1992

The first and second-order reliability method(FORM and SORM) is presented using one dimensional finite difference and two dimensional finite element transport models. FORM and SORM can be used without any restrictive assumptions about the properties of the media, and the sensitivity information obtained as part of these analyses is used to identify the parameters which have major influence on the estimate of probability. The reliability analysis of transport in a one-dimensional domain is used to test the robustness of the reliability code and to evaluate the accuracy of the reliability method. A continuous source 2-D example with a concentration threshold limit state function is used to evaluate the influence of the parameters in the location of interest on the reliability solution.

• Journal of the Korean Society for Railway
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• v.14 no.1
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• pp.24-30
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• 2011

Conventional slope stability analysis is focused on calculating minimum factor of safety or maximum probability of failure. To minimize inherent uncertainty of soil properties and analytical model and to reflect various analytical models and its failure shape in slope stability analysis, slope stability analysis method considering simultaneous failure probability for multi failure mode was proposed. Linear programming recently introduced in system reliability analysis was used for calculation of simultaneous failure probability. System reliability analysis for various analytical models could be executed by this method. For application analysis for embankment, the results of this method shows that system stability of embankment calculate quantitatively.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.5 no.1
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• pp.59-65
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• 1987

This paper presented the procedures for detecting gross errors, and described the influence of the number and distribution of points on the internal reliability in photogrammetric adjustment, such as relative orientation and independent model method. The use of the standard six points for relative orientation and the regular four points for independent model method result in low internal reliability. With such a distribution, gross erors in measured points might not be detected But using cluster of double or triple points instead of individual point, internal reliability improves remarkably.

• Proceedings of the Safety Management and Science Conference
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• 2010.04a
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• pp.549-559
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• 2010

다양한 리스크 문제가 발생하고 있는 환경 속에서 리스크에 대한 적절한 대응을 하고 안정화를 도모함과 동시에 리스크 문제가 표면화되어 초래하는 영향을 극소화 하기 위한 새로운 패러다임의 경영시스템 도입이 주요 전략과제로 대두되고 있다. 본 연구에서는 소프트웨어 분야에서의 리스크 위험 요소를 줄이고 신뢰성 향상을 목적으로 소프트웨어 분야가 가지고 있는 문제를 효과적으로 관리 할 수 있는 새로운 모델로서 IEC60300 신뢰성경영시스템과 IEC61508 리스크경영시스템의 통합 모델을 제시한다.

• Proceedings of the Korean Nuclear Society Conference
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• 1998.05a
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• pp.869-875
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• 1998

원자력발전소 소외전원 상실 시 발전소를 안전하게 정지시키기 위한 비상디젤발전기의 신뢰성 평가는 계속적으로 수행되고 있는 연구과제 중 하나이다. 본 논문에서는 동적 시스템 모델링 툴을 사용하여 비상디젤발전기의 동적 신뢰도 평가를 위한 Markov모델을 구축하였다. 구축한 동적 신뢰도 모델을 이용하여 NUREG/CR-4810에서 제안한 분석방법의 모순점을 보완하여 Reg. Guide 1.108의 비상디젤발전기 가속시험주기 규정을 이용불능도 측면에서 검토하였다 또한 비상디젤발전기의 이용불능도는 기동실패확률 및 보수율과 기동실패 중 기동시 충격에 의한 고장 비율의 함수인 점을 고려하여 가속시험주기 규정을 따를 때 보수율과 기동시 충격에 의한 고장 비율이 이용불능도의 변화에 미치는 영향을 시뮬레이션하였다.