• 한국자기학회:학술대회 개요집
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• 한국자기학회 2007년도 The 1st International Symposium on Advanced Magnetic Materials
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• pp.136.1-136.1
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• 2007

• International Journal of Automotive Technology
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• 제7권7호
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• pp.859-866
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• 2006

This study employed the perturbation method, the Edgeworth series, the reliability optimization, the reliability sensitivity technique and the robust design to present a practical and effective approach for the robust reliability design of vehicle components with arbitrary distribution parameters on the condition of known first four moments of original random variables. The theoretical formulae of the robust reliability design for vehicle components with arbitrary distribution parameters are obtained. The reliability sensitivity is added to the reliability optimization design model and the robust reliability design is described as a multi-objection optimization. On the condition of known first four moments of original random variables, the respective program can be used to obtain the robust reliability design parameters of vehicle components with arbitrary distribution parameters accurately and quickly.

• 대한수학회논문집
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• 제16권1호
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• pp.125-135
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• 2001

In this article we investigate the dependence between components of the random vector which is given as an asymptotic limit of an array of random vectors with interlaced mixing conditions. We discuss the cross covariance of the limiting vector process and give a stronger condition to have a central limit theorem for an array of random vectors with mixing conditions.

• 응용통계연구
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• 제30권3호
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• pp.335-344
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• 2017

본 논문은 분할구실험으로 부터 주어진 자료분석을 위해 사영을 이용하는 방법을 다루고 있다. 분할구 실험의 특성으로 서로 다른 크기의 실험단위를 나타내는 오차항과 처리에 포함된 확률효과가 존재할 때 이들 분산성분의 추정에 사영을 이용하여 구하는 방법을 제시하고 있다. 분산성분 추정을 위해 잔차벡터에 대한 확률모형의 구축을 다루고 있다. 고정효과를 제외한 확률효과에 따른 제곱합의 계산을 위해 상수적합법이 적용되고 있다. 적률법에 의한 분산성분 추정을 위해 변동량의 기댓값 계산에 합성법을 이용한다. 고정효과들의 선형함수로 주어지는 추정가능함수에 관한 추정을 다루고 있다.

• Communications for Statistical Applications and Methods
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• 제8권1호
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• pp.29-37
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• 2001

In this paper, we consider the second order probability matching criterion for the ratio of the variance components under the one-way random effect model. It turns out that among all of the reference priors given in Ye(1994), the only one reference prior satisfies the second order matching criterion. Similar results are also obtained for the intraclass correlation as well.

• Journal of the Korean Statistical Society
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• 제30권4호
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• pp.541-550
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• 2001

This paper considers a panel data regression model in which the disturbances follow a nested error components with serial correlation. Given this model, this paper derives several Lagrange Multiplier(LM) testis for the presence of serial correlation as well as random individual effects, nested effects, and for existence of serial correlation given random individual and nested effects.

• Journal of the Korean Data and Information Science Society
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• 제15권1호
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• pp.219-226
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• 2004

In this paper, we consider two-components system which the lifetimes have a bivariate Weibull distribution with bivariate random censored data. Here the bivariate censoring times are independent of the lifetimes of the components. We obtain estimators and approximated confidence intervals for the reliability of series system based on likelihood function and relative frequency, respectively. Also we present a numerical study.

• 방송공학회논문지
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• 제16권4호
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• pp.624-634
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• 2011

최근 차세대 비디오 코딩 표준화를 위해 JCT-VC에서 HEVC라 불리는 새로운 비디오 압축 표준 기술을 개발하고 있다. HEVC는 H.264/AVC보다 높은 성능을 갖는 많은 부호화 기술을 채택하였다. 그중 색차 신호를 보간할 때 H.264/AVC에서 사용된 선형필터보다 좋은 성능을 가지는 DCT 기반으로 한 보간 필터를 사용하고 있다. 본 논문에서는 H.264/AVC에서 사용된 FIR필터와 선형필터를 통합한 필터를 제안하여 부호화 효율을 높이는 방법을 제안한다. 제안하는 방법과 DCT 기반으로 한 보간 필터와 비교하였을 때 실험결과로 제안한 방법은 random access구조의 high efficiency 경우 색차성분 U,V에서 각각 평균 0.9%, 1.1%의 BD-rate가 감소하였고,random access의 low complexity 구조인 경우 색차성분 U,V에서 각각 평균 1.1%, 1.1%의 BD-rate가 감소하였고, low delay의 high efficiency 구조인 경우 색차성분 U,V에서 각각 평균 0.9%, 1.4%의 BD-rate가 감소하였고, low delay 구조의 low complexity인 경우 색차성분 U,V에서 각각 평균 1.8%, 1.8%의 BD-rate가 감소하였다.

• Communications for Statistical Applications and Methods
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• 제9권3호
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• pp.835-844
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• 2002

For the one-way random model when the ratio of the variance components is of interest, Bayesian analysis is often appropriate. In this paper, we develop the noninformative priors for the ratio of the variance components under the balanced one-way random effect model. We reveal that the second order matching prior matches alternative coverage probabilities up to the second order (Mukerjee and Reid, 1999) and is a HPD(Highest Posterior Density) matching prior. It turns out that among all of the reference priors, the only one reference prior (one-at-a-time reference prior) satisfies a second order matching criterion. Finally we show that one-at-a-time reference prior produces confidence sets with expected length shorter than the other reference priors and Cox and Reid (1987) adjustment.

• Industrial Engineering and Management Systems
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• 제13권4호
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• pp.421-431
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• 2014

The market basket data in the form of a binary user-item matrix or a binary item-user matrix can be modelled as a binary classification problem. The binary logistic regression approach tackles the binary classification problem, where principal components are predictor variables. If users or items are sparse in the training data, the binary classification problem can be considered as a cold-start problem. The binary logistic regression approach may not function appropriately if the principal components are inefficient for the cold-start problem. Assuming that the market basket data can also be considered as a special regression problem whose response is either 0 or 1, we propose three supervised learning approaches: random forest regression, random forest classification, and elastic net to tackle the cold-start problem, comparing the performance in a variety of experimental settings. The experimental results show that the proposed supervised learning approaches outperform the conventional approaches.