• Convergence Security Journal
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• v.12 no.6
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• pp.3-10
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• 2012

In this paper, make a study decision problem called an optimal release policies after testing a software system in development phase and transfer it to the user. When correcting or modifying the software, finite failure non-homogeneous Poisson process model, considering learning factor, presented and propose release policies of the life distribution, log linear type model which used to an area of reliability because of various shape and scale parameter. In this paper, discuss optimal software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement. In a numerical example, the parameters estimation using maximum likelihood estimation of failure time data, make out estimating software optimal release time.

• Journal of the Korean Data and Information Science Society
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• v.25 no.2
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• pp.393-402
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• 2014

The simplest and the most important distribution in survival analysis is the exponential distribution. In this paper, we investigate the influence of the random censorship model on the estimation of the scale parameter of the exponential distribution. The considered random censorship models are Koziol-Green model and the generalized exponential distribution model. Two models have different meanings. Through the simulation study, the averages of the estimated values of the parameter do not show big differences, however the MSE of the estimator tends to be bigger when the supposed model is significantly different from the true model.

• The Korean Journal of Applied Statistics
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• v.22 no.5
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• pp.971-979
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• 2009

In this paper, we introduce the method that reduces the bias when the transformation and back-transformation approach is applied in GARCH models. A parametric bootstrap is employed to compute the conditional expectation which is the prediction value to minimize mean square errors in the original scale. Through the analyese of returns of KOSPI and KOSDAQ, we verified that the proposed method provides a bias-reduced estimation for the prediction value.

• Proceedings of the Korean Reliability Society Conference
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• 2011.06a
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• pp.79-85
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• 2011

LED(Light Emitting Diode) is a powerful device used in applications as diverse as replacements for aviation lighting, automotive lighting as well as in traffic signals. This study is to propose a prediction system based on the degradation model of LED which is determined by combining scale and shape parameter. The degradation model is analysed goodness of fit test using calculated R-square, and is compared with previous models. A LED prediction system using degradation model is developed to automate estimations of degradation parameters and lifetimes.

• Proceedings of the KIEE Conference
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• 1997.07d
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• pp.1199-1201
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• 1997

22.9kV 지중 배전용 전력 케이블의 절연체를 평가하기 위한 방법으로서 제안하고자 한다. 케이블 절연체를 절연파괴시켜 얻어진 결과를 통계적으로 평가하고자 한다. 절연파괴 시험 시료로서 케이블의 내외도 반도전층을 갖는 절연체인 XLPE에 침전극을 삽입시켜 일정전압하에서 절연 파괴에 이르는 시간을 각각 측정하고, 2 모수 Weibull분포를 이용하여, 형과 척도의 모수를 각각 구하였다.

• Proceedings of the Korean Reliability Society Conference
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• 2006.05a
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• pp.381-383
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• 2006

최근, 선진국에서는 $Rukaflex^{(R)}$라는 새로운 구조의 웨빙을 개발하여, normal usage marks를 감소시키고, 웨빙의 품질을 향상시키려는 경향을 보인다. 기존의 웨빙은 멀티 필라멘트가 경/위사 방향으로 교차되는 구조를 갖는 소폭직물인데, 새로운 구조의 $Rukaflex^{(R)}$는 위사방향에 멀티 필라멘트와 모노 필라멘트를 동시에 사용하여 탄성률(resilience)을 높여서 구조 안정성을 항상시킨 형태의 웨빙이다. 본 연구에서는 $Rukaflex^{(R)}$ 웨빙의 수명을 구조개선 및 마모특성 향상을 통하여 50% 이상 향상시켰는데, 기존 웨빙과 초기 인장강도에서는 차이가 나지 않았으나 활성화 에너지, 형상모수, $B_{10}$ 수명이 증가한 것을 확인할 수 있었다. 이는, 척도모수에서는 기존 웨빙과 근소한 차이를 보이나 구조개선에 의한 마모특성 향상에 의하여, 균일한 마모 및 degradation 특성을 나타내므로, $B_{10}$ 수명이 향상된 것을 확인할 수 있었다.

• Journal of Animal Science and Technology
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• v.53 no.4
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• pp.289-296
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• 2011

Swine industry in Korea plays an important role in providing the meat for domestic consumption, and the number of pigs in Korea was about 9.72 million heads as of June, 2010. Meat quality is used to describe any traits which impact the consumer acceptability of fresh meat products. Meat color, firmness, water holding capacity, ultimate muscle $pH_{24h}$ (measured 24 hours post-mortem), shear force, and intramuscular fat percentage (IMF) are generally accepted as important indicators of meat quality and ultimately, consumer acceptance of fresh pork. The objective of this study was to estimate genetic parameters for meat quality traits in Berkshire pigs. The heritability estimates for muscle $pH_{24h}$, lightness (CIE $L^*$), NPPC marbling were 0.61, 0.56 and 0.57, respectively, The heritability estimates for drip loss, cooking loss, shear force were 0.51, 0.66 and 0.56, respectively. The phenotypic correlations between $pH_{24h}$ and lightness (CIE $L^*$), drip loss, cooking loss were negative, ranging from -.45 ~ -.13. The genetic correlations between muscle $pH_{24h}$ and lightness (CIE $L^*$), drip loss were negative, ranging from -.35 ~ -.32. Genetic parameters obtained herein indicate that genetic improvement of muscle $pH_{24h}$ is not related to the NPPC marbling of meat, but rather to improved lightness(CIE $L^*$) and drip loss. Genetic trends of meat quality traits showed increased muscle $pH_{24h}$ and decreased cooking loss and drip loss.

• Electronics and Telecommunications Trends
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• v.14 no.5 s.59
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• pp.151-152
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• 1999

화자검증기술은 화자의 입력음성으로부터 화자의 특성을 계산하고 해당 화자를 유일하게 구분할 수 있는 통계적 모수를 추출하여 이를 화자의 개인 데이터베이스로 구축하며, 검증시에는 개인데이터베이스와 입력되는 미지 화자의 특성에 대한 유사도를 비교.검증하는 것이다. 또한 이때 주어진 임계치(Threshold)의 만족 정도에 따라 동일 화자여부를 결정하는 결정논리(decision logic)로 검증엔진을 구성하는 기술이며, 응용영역에 따라 환경잡음, 채널잡음 등 사용환경과 전체시스템과의 적절한 시나리오 구성 등이 실용화를 위한 중요한 척도가 된다.

• Convergence Security Journal
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• v.6 no.3
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• pp.117-126
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• 2006

Bayesian inference and model selection method for software reliability growth models are studied. Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. In this paper, could avoid multiple integration using Gibbs sampling, which is a kind of Markov Chain Monte Carlo method to compute the posterior distribution. Bayesian inference for general order statistics models in software reliability with diffuse prior information and model selection method are studied. For model determination and selection, explored goodness of fit (the error sum of squares), trend tests. The methodology developed in this paper is exemplified with a software reliability random data set introduced by of Weibull distribution(shape 2 & scale 5) of Minitab (version 14) statistical package.

• Journal of Music and Human Behavior
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• v.6 no.1
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• pp.33-53
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• 2009

The purpose of this study is to examine the effects of a singing program on withdrawal behaviors of children in low-income families. To measure the effects of the singing program, the researcher compared the results of K-YSR and TRF withdrawal scales before and after the program. Finally, the researcher did research on the subjects' musical and non-musical behaviors related to withdrawal through a record of behavior observation. The results of this study were asfollows: First, after comparing the results of K-YSR and TRF withdrawal scales conducted before and after the singing program, the mean of the scores was decreased by 6.4 and 3.6 points respectively (p = .042). Second, an analysis of withdrawal-related behavioral changes in music activities after the program showed an increase in frequency of eye contact, as well as tone and volume of subjects' voices. The results of this study indicate that the singing program has positive effects on withdrawal behaviors of children in low-income familiesin addition, it is effective in alleviating withdrawal-related behaviors.