• International Journal of Reliability and Applications
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• 제4권2호
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• pp.57-69
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• 2003

A non-parametric test based on U-statistic for testing exponentiality against the new better than used renewal failure rate (NBURFR) alternatives is introduced and the percentiles of this test statistic are tabulated for sample size 5(1)50. Its properties are also discussed including the Pitman asymptotic efficiency relative to the tests of the new better than used and new better than used failure rate (Ahmed (1994) and Hendi (2000)). The powers of this test are also calculated for some used life distributions. An example from blood cancer patients demonstrates a practical application of our test in the medical sciences is presented. Finally the problem when right-censored data is available is handled.

• 한국신뢰성학회지:신뢰성응용연구
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• 제16권1호
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• pp.7-14
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• 2016

Purpose: The purpose of this study is to development the fire evaluating test methods for the Electric hair dryers. Methods: We was designed FMEA (Failure mode and effects analysis) in order to analyze the fire mechanism on the electric hair dryers and designed evaluating test methods (Durability tests on the environment, Mechanical durability tests) obtained through the two-step QFD (Quality Function Depolyment) and tested. Conclusion: We verified the evaluating fire test methods on the electric hair dryers through the analysis of the test results and some reproduction test.

• International Journal of Internet, Broadcasting and Communication
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• 제14권1호
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• pp.1-9
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• 2022

Recently, a large number of cryptocurrencies and block chains have been continuously released. However, these cryptocurrencies and block chains are open to users without authorized verification and testing procedures, causing various reliability problems. Existing cryptocurrencies and blockchain test methods build a blockchain Testnet for a certain period of time by the developer without external verification by a third party, and after repeatedly self-testing and self-operating processes, commercialization is in progress by switching to the Mainnet. This self-verification method does not guarantee objectivity and publicness, and high reliability of customers cannot be realized. This study proposes a cryptocurrency and blockchain test interface and test control system as a third-party open test method.

• 비파괴검사학회지
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• 제21권6호
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• pp.607-611
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• 2001

초음파검사 시스템은 검사자, 검사장비, 검사절차서로 구성되어진다. 따라서 각각의 구성의 성능에 따라 초음파검사의 신뢰도가 좌우되며, 또한 검사환경이나 검사체의 재질, 결함의 유형에 따라서도 검사의 신뢰도는 영향을 받게된다. 이러한 다양한 인자들로 인해 비파괴검사의 신뢰도를 평가하는 것이 쉽지 않다. 본 연구에서는 로지스틱 모델과 몬테 카를로 시뮬레이션을 이용하여 초음파검사의 신뢰도를 척도할 수 있는 검출확률을 평가하고자 한다. 신뢰도 평가의 유용성을 검증하기 위해 원진배관에 대한 순회시험의 데이터에 신뢰도 평가 모델을 적용하였다.

• 마이크로전자및패키징학회지
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• 제15권2호
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• pp.55-61
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• 2008

본 논문은 블루투스 모듈의 구조 및 솔더접합부에 대한 신뢰성 평가에 국한된 기존의 방법을 확장하여 정량적인 신뢰성 평가를 수행한 결과를 나타낸다. Field 환경조건에서의 정량적인 신뢰성 평가를 위해, 온도 싸이클링(temperature/thermal cycling)에서의 온도차를 가속스트레스로 선정하여 가속수명시험을 실시하였다. 가속수명시험을 통해 구한 고장시간 데이터들을 이용하여 수명분포 매개변수들을 추정하고 코핀-만슨(Coffin-Manson) 모델을 이용하였다. 가속수명시험을 수행한 결과, 블루투스 모듈의 고장모드는 Open, 고장메커니즘은 크랙(Crack)과 박리(Delamination)였다. Field에서 수거한 고장품들의 고장모드와 고장메커니즘이 가속수명시험을 통해 재현되었다. 또한 본 논문에서 블루투스 모듈이 Field에서 받을 수 있는 온도 싸이클링에서의 다양한 온도차에 대한 정량적인 수명을 예측할 수 있는 방법이 제시되었다. 제안된 방법을 이용하여 온도차 $70^{\circ}C$를 받고 있는 블루투스 모듈의 $B_{10}$ 수명은 약 4년으로 추정되었다.

• The Journal of Korean Physical Therapy
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• 제27권4호
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• pp.183-189
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• 2015

Purpose: The aim of this study was to examine the test-retest and inter-rater reliability of the pediatric functional muscle testing (PFMT) when applied to children with developmental delay. Methods: Sixteen children with developmental delay (seven females, nine males) participated in this study. For the inter-rater reliability, each was scored on the PMFT by two pediatric physical therapists with more than 8 years of clinical experience on the same day. For assessment of the test-retest reliability, one therapist tested the children again within 10 days. The second measurement was performed by taking a first measurement in video. Intraclass correlation coefficient (ICC) was calculated to determine the test-retest and inter-rater reliability of the PFMT, and Chronbach's alpha was used to measure internal consistency. Results: The results of this study were as follows: 1) The test-retest ICC of the score of the infant action month and the right side of the PFMT was from 0.53 to 1.00 and from 0.63 to 0.99, respectively. 2) The inter-rater ICC of the score of the infant action month and the right side of the PFMT was from 0.66 to 1.00 and from 0.64 to 1.00, respectively. 3) Chronbach's alpha was 0.93. The internal consistency indicated excellent. Conclusion: In conclusion, this study showed that the test-retest and inter-rater reliability of the PFMT was relatively high, except for a few items. Therefore, it can be suggested that the PFMT will be a useful tool for measurement of muscle strength for children with developmental delay if it be some modifications.

• 한국신뢰성학회지:신뢰성응용연구
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• 제16권3호
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• pp.224-230
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• 2016

Purpose: Military maintenance involves corrective and preventive actions carried out to keep a system in or restore it to a predetermined condition. This research develops an optimal maintenance cycle for aviation oil testing equipment with acceptable reliability level and minimum maintenance cost. Methods: The optimal maintenance policy in this research aims to satisfy the desired reliability level at the lowest cost. We assume that the failure process of equipment follows the power law non-homogeneous Poisson process model and the maintenance system is a minimal repair policy. Estimation and other statistical procedures (trend test and goodness of fit test) are given for this model. Results: With time varying failure rate, we developed reliability-based maintenance cost optimization model. This model will reduce the ownership cost through adopting a proactive reliability focused maintenance system. Conclusion: Based on the analysis, it is recommended to increase the current maintenance cycle by three times which is 0.5 year to 1.5 years. Because of the system's built-in self-checking features, it is not expected to have any problems of preventative maintenance cycle.

• 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.

• 품질경영학회지
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• 제34권4호
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• pp.133-138
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• 2006

In this paper, we propose a software reliability growth model (SRGM) based on the testing domain, which is isolated by the executed test cases. This model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process. We consider that the fault detection rate of NHPP model is changed in the proposed SRGM. We obtain the maximum likelihood estimate, and compare goodness-of-fit with another existing software reliability growth model.

• 한국산업정보학회논문지
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• 제7권2호
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• pp.33-39
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• 2002

Accelerated life testing of a car is used to get information quickly on its life distribution. Test cars are no under severe conditions and fail sooner than under usual conditions. A model is fitted to the accelerated failure times and then extrapolated to estimate the life distribution under usual conditions. This paper presents an accelerated test md the reliability growth theory, and applies it to some subsystems of cars during their prototype and pilot testing. The data presented illustrates explicitly the prediction of the reliability growth in the product development cycle. The application of these techniques is a part of the product assurance function that plays an important role in product reliability improvement.