• 한국신뢰성학회지:신뢰성응용연구
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• 제15권4호
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• pp.282-288
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• 2015

Purpose : The purpose of this study is to compare the RAM (reliability, availability and maintainability) value in the acquisition phase with operational period for air weapon systems. The objective is to determine if the value of RAM is sufficient in the field, and look for any difference from the target value to some extent. Methods : For a case study, the ${\bigcirc}{\bigcirc}$ training aircraft is selected. Data from the two acquisition sources are utilized. One is the operational data in domestic aircraft through research and development, and the other is the data from imported aircraft. The two different sources were collected independently and distinctly. Results : According to the analysis, the domestic aircraft shows high deviation in RAM value compare to the imported systems. This is due to the effort of continuous reliability improvement. In the aspect of maintainability, the result shows a slight deviation, and the availability meets the requirement. Conclusion : The results of this study can be used in finding a way that can be effectively applied to the sustainability in the weapon system. If the RAM performance is significantly lower than the target value, then it is necessary to improve the design activities so that they can achieve the RAM target value.

• 한국정보처리학회논문지
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• 제7권5호
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• pp.1419-1425
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• 2000

When we predict of software reliability, we can't know the testing stopping time and how many faults be residues in software the (the maximum value of data) during these software testing process, therefore we assume the maximum value and the training result can be inaccuracy. In this paper, we present neural network approach for software reliability prediction with unnormalized (actual or original collected) data. This approach is not consider the maximum value of data and possible use the network without normalizing but the predictive accuracy is better. Also, the unnormalized method shows better predictive accuracy than the normalized method given by maximum value. Therefore, we can make the best use of this model in software reliability prediction using unnormalized data.

• 한국콘텐츠학회논문지
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• 제8권11호
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• pp.225-234
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• 2008

본 논문은 일차 의료기관을 이용하는 고객들이 느끼는 고객가치가 장기적으로 고객충성도에 영향을 미친다는 것과 고객가치를 대상으로 고객관계관리와 관련된 변수들의 구조적 관계를 밝히고자 하였다. 연구결과 편리가치, 응대가치, 신뢰가치는 고객만족에 영향을 미치는 요인이며 고객만족은 고객충성도, 즉 재구매와 구전의도에 영향을 준다는 것이 확인되었다. 또한 편리가치와 응대가치, 신뢰가치는 고객만족의 완전매개 역할을 통해 재구매에 영향을 미치며 편리가치, 응대가치는 고객만족의 완전매개 역할을 통해 구전의도에 영향을 준다는 것을 확인하였다. 특히 신뢰가치의 경우는 고객만족이 없이도 구전의도를 형성하는 요인이라는 것을 확인하였다.

• Journal of Preventive Medicine and Public Health
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• 제30권2호
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• pp.413-427
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• 1997

This research is based on the Consumption Values Theory proposed by Sheth(1991). The purpose of this research is finding the factors related to the process of hospital choice. The expectation of six hospital outpatients 600 was analyzed by six consumption values categories: functional value, social value, emotional value, rarity value, condition value, health related values. The main results of this research is as following; 1. In the result of factor analysis 22 consumption value factors which affect the hospital preference were extracted; kindness/clearness, service speed, comfort of space, technical competence in functional values, high income/active social life, low income/blue collar unmarried/man, middle aged/big family, woman/married, introvert in social values, high-class, comfort, reliability in emotional value, newness, classiness in rarity value, social relationship, close to residence, social reputation in conditional values, priority on health, health behavior, active sense of value on health in health related values. 2. The difference of consumption values among hospital types were analyzed. The critical factors in reference for corporate hospitals newly established were kindness/clearness, service speed, convenience, classiness, comfort, and newness. University hospitals were preferred by the factors of reliability, and social reputation. In general hospital, convenience and close to residence were critical factor. 3. In logistic regression, age, marital status, education level and income as socio-demographic variables were significantly related to general hospital choice. Also service speed and close to residence were positively and high income/active social life and high class value were negatively related to general hospital choice. On university hospital choice, age and marital status, education show posive relationship whereas income showing negative relationship. Kindness/clearness, service speed, comfort of space, unmarried/man, comfortable feeling, newness and close to residence showed negative relationship with university hospital selection whereas technical competence, reliability in emotional value, classiness in rarity value, social relationship in functional values showed positive relationship. Lastly kindness/clearness, comfort of space, high income/active social life, unmarried/man, high-class, comfort and newness were positively related to corporate hospitals newly established choice in contrast to negative relationship in reliability in emotional value and classiness. In summary, we found that hospital user also choose to hospital in base of various consumption value. Further studies to investigate the hospital consumer behavior will be needed.

• 한국컴퓨터정보학회논문지
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• 제24권6호
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• pp.45-55
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• 2019

The purposes of this paper is to draw a conclusion on the impact of the characteristics of economic cooperation between china and south korea on customer value and enterprise performance in the korean electronics industry. In this paper, product reliability and product innovation are especially used as analytical factors, and this paper used a survey of 293 internal employees working in the electronics industry for analyze, and structural equation model(SEM) was used to analyze the data. The results of the research analysis are summarized as follows. First, it was found that the characteristic of economic cooperation in the research model has a significant effect on the product reliability. Second, it was found that the characteristics of economic cooperation have a significant effect on the products innovation. Third, the products reliability has a significant impact on customer value, while the products innovation has not affected customer value. Finally, it was found that the customer value of the korean electronics industry also has a significant impact on the Enterprise performance. As a good development alternative to this research, there is the ultimate goal of hoping that corporate managers will help to create new good values. To this end, we hope it will be helpful as we have made necessary suggestions to establish the desired direction of the Korean electronics industry operator.

• 마케팅과학연구
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• 제15권3호
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• pp.31-48
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• 2005

본 연구의 목적은 호텔서비스에 대한 보증전략을 활용한 마케팅 효과의 유효성과 실질적인 서비스 보증의 방법론적 효과를 검증해 보는데 있으며, 연구의 세부적인 목적은 다음과 같다. 첫째 선행연구를 통해 검증된 서비스 보증 전략이 서비스 보증의 신뢰성과 서비스 가치에 실제적으로 어떠한 영향을 미치는지를 검증한다. 둘째, 서비스 신뢰성과 서비스 가치가 고객충성도에는 어떠한 영향을 미치는지를 검증한다. 셋째, 서비스 보증이 고객충성도에는 어떠한 영향을 미치는지를 검증한다. 검증결과에 의하면 본 연구에서 제시한 5개의 연구가설중 5개의 가설이 채택되었으며 구체적인 내용은 다음과 같다. 첫째, 서비스 보증이 서비스 신뢰성과 서비스 가치에 어떠한 영향을 미치는가를 검증한 결과 서비스 보증은 서비스 신뢰성과 서비스 가치에 긍정적인 영향을 미치는 것으로 나타났다. 둘째, 서비스 신뢰성과 서비스 가치가 고객충성도에 미치는 영향관계를 검증한 결과 서비스 신뢰성과서비스 가치 둘 다 고객충성도에 유의적인 영향을 미치는 것으로 나타났다. 셋째, 서비스 보증이 고객충성도에 미치는 영향관계를 검증한 결과 긍정적인 영향을 미치는 결과를 도출하였다.

• Structural Engineering and Mechanics
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• 제62권2호
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• pp.125-138
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• 2017

Reliability-based design optimization (RBDO) is a powerful tool for design optimization when considering probabilistic characteristics of design variables. However, it is often computationally intensive because of the coupling of reliability analysis and cost minimization. In this study, the concept of reliability mapping function is defined based on the relationship between the reliability index obtained by using the mean value first order reliability method and the failure probability obtained by using an improved response surface method. Double-loop involved in the classical RBDO can be converted into single-loop by using the reliability mapping function. Since the computational effort of the mean value first order reliability method is minimal, RBDO by using reliability mapping functions should be highly efficient. Engineering examples are given to demonstrate the efficiency and accuracy of the proposed method. Numerical results indicated that the proposed method has the similar accuracy as Monte Carlo simulation, and it can obviously reduce the computational effort.

• 한국융합학회논문지
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• 제10권4호
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• pp.45-50
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• 2019

본 연구는 소프트웨어 신뢰성을 측정하기 위해 소프트웨어 신뢰도 측정 모형에 따라 소프트웨어 신뢰도를 측정하는 방법을 제시하려 한다. 본 연구에서 제시한 모형의 형태는 비동질적 포아송 과장의 분포를 이용하였으며, 제시된 모형의 소프트웨어 신뢰도를 측정하는 방안을 제시하였다. 제시된 모형에 따라서 적합한 소프트웨어 신뢰도 성장 모형을 선택하는 방법으로는 소프트웨어 고장 데이터에 따라서 신뢰도 함수의 추정 값에 따른 평균제곱오차를 계산하여 적합한 소프트웨어 신뢰도 함수를 제안하는 방법을 연구하였다. 본 연구에서는 소프트웨어 품질을 측정하기 위한 신뢰도 함수를 제안하기 위하여 모델을 제시하고 고장데이터를 적용하여 추정 값의 오차를 최소화하는 관점에서 소프트웨어 신뢰도 함수를 선택할 수 있는 방안을 제시한 연구로 판단된다.

• International Journal of Advanced Culture Technology
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• 제5권2호
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• pp.82-89
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• 2017

The range of problems that can be handled by the activation of big data and the development of hardware has been rapidly expanded and machine learning such as deep learning has become a very versatile technology. In this paper, mnist data set is used as experimental data, and the Cross Entropy function is used as a loss model for evaluating the efficiency of machine learning, and the value of the loss function in the steepest descent method is We applied the GradientDescentOptimize algorithm to minimize and updated weight and bias via backpropagation. In this way we analyze optimal reliability value corresponding to the number of exercises and optimal reliability value without overfitting. And comparing the overfitting time according to the number of data changes based on the number of training times, when the training frequency was 1110 times, we obtained the result of 92%, which is the optimal reliability value without overfitting.

• 시스템엔지니어링학술지
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• 제17권1호
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• pp.1-10
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• 2021

In this paper we proposed the alternative analysis of reliability design using redundancy technique. First, we presented the process for establishing the reliability design alternative analysis process considering the active redundancy and the standby redundancy. and then, the case analysis of A driving equipment was performed in accordance with the reliability design alternative analysis process presented. In case the series reliability design result is not met with the reliability target value. so, the target item for redundancy design of A driving equipment were selected as items with a severity of two or higher. The redundancy design applied with active and standby redundancy techniques were analyzed using BlockSim software. As a result, it was analyzed that reliability design to active redundancy with one of two elements required for A driving equipment is the most efficient compared to the target value of reliability. The results of this study can be usefully used before the reliability design is performed.