• Proceedings of the Korean Society for Bioinformatics Conference
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• 2002.06a
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• pp.139-152
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• 2002

Gene-shaving(Hastie et al, 2000) is a very useful method to identify a meaningful group of genes when the variation of expression is large. By shaving off the low-correlated genes with the leading principal component, the primary genes with the coherent expression pattern can be identified. Gene-shaving method works well If expression levels are varied enough, but it may not catch the meaningful cluster in low expression level or different expression time even with coherent patterns. The sliding window gene-shaving method which is to apply gene-shaving in each sliding window after hierarchical clustering is to compensate losing a meaningful set of genes whose variation is not large but distinct. The performance to identify expression patterns is compared for the simulated profile data by the different variance and expression level.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.17 no.4 s.121
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• pp.324-332
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• 2007

Sensor placement method for damage identification has been developed for model updating using Taguchi method. In order to select the optimal sensor location, the analysis of variance of objective function using orthogonal array was carried out. Then, modal data at the selected locations were used for damage identification using model updating. The numerical model of a cantilever beam was used in order to compare the damage identification results with conventional sensor location method.

• Communications for Statistical Applications and Methods
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• v.23 no.2
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• pp.105-117
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• 2016

In the paper, as a sequence of the first tutorial, we discuss sufficient dimension reduction methodologies used to estimate central subspace (sliced inverse regression, sliced average variance estimation), central mean subspace (ordinary least square, principal Hessian direction, iterative Hessian transformation), and central $k^{th}$-moment subspace (covariance method). Large-sample tests to determine the structural dimensions of the three target subspaces are well derived in most of the methodologies; however, a permutation test (which does not require large-sample distributions) is introduced. The test can be applied to the methodologies discussed in the paper. Theoretical relationships among the sufficient dimension reduction methodologies are also investigated and real data analysis is presented for illustration purposes. A seeded dimension reduction approach is then introduced for the methodologies to apply to large p small n regressions.

• Communications for Statistical Applications and Methods
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• v.19 no.6
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• pp.899-904
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• 2012

High-dimensional categorical data models with small sample sizes have not been used extensively in genomic sequences that involve count (or discrete) or purely qualitative responses. A basic task is to identify differentially expressed genes (or positions) among a number of genes. It requires an appropriate test statistics and a corresponding multiple testing procedure so that a multivariate analysis of variance should not be feasible. A family wise error rate(FWER) is not appropriate to test thousands of genes simultaneously in a multiple testing procedure. False discovery rate(FDR) is better than FWER in multiple testing problems. The data from the 2002-2003 SARS epidemic shows that a conventional FDR procedure and a proposed test statistic based on a pseudo-marginal approach with Hamming distance performs better.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.11a
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• pp.655-659
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• 2003

In this study, an improved topology design methodology that is combined with genetic algorithm, response surface method is provided to overcome the limitations of the ordinary topology optimization methods on the complex non-linear problem. the method is applied to a disc brake system for reducing an automobile brake noise. The low frequency that may induces the brake noise under the unstable mode is increased by obtaining the optimal topology. The result is verified by the analysis of variance and confirmed that the estimators for the approximation equations are highly reliable

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 1992.11a
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• pp.103-113
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• 1992

본 연구의 목적은 비전통적인 주택형태들의 수락도에 영향을 미치는 시골지역 노인들의 인구학적 특성들과 주거특성들을 규명하는데 있다. 본 연구에서는 미국의 남부 7개주를 대상으로 한 Southern Reginal Research Project, S-194, "Barricrs and Incentives to Attordable Housing"에서 수집된 자료의 일부를 분석하였다. 본 연구대상자는 미국 남부 7개주의 시골지역에 거주하는 나이 55세 이상의 1878명이었다. Analysis of variance의 통계분석방법을 통해 나타난 몇가지 중요한 결과가 본문에서 논의되어졌으며, 또한 조사대상자의 인구학적 특성과 주거특성도 요약되어 졌다. 마지막으로는 본 연구 결과를 바탕으로 소비자교육, 앞으로의 연구 방향 산업체를 위한 제언들이 제시되고 있다.

• Journal of Agricultural Extension & Community Development
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• v.28 no.2
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• pp.99-112
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• 2021

This study aims to identify the factors influencing residents' satisfaction for the urban regeneration projects in South Korea. Data were collected from 250 people with self-administrated questionnaires. A factor analysis identified three factors which are positive economic impacts, negative social impact, and positive environment impact. The positive economic impact has the highest variance explained. Results showed that high income and students and unemployed are less like to be satisfied with their community life. And whereas negative social impacts are less likely to have community satisfaction, positive economic impacts are more likely to have community satisfaction. This study suggested that community leaders and policy makers should consider perceived impacts and income when implementing development projects.

• Journal of the Korean Ceramic Society
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• v.36 no.3
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• pp.225-230
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• 1999

Ball-on-3-ball 시험에서 이축 강도를 결정하기 위한 방법에 대해 고찰하였다. 알루미나 시편을 이용하여 ball-on-3-ball 시험과 poston-on-3-ball 시험을 하여 이축 강도를 측정하였다. piston-on-3-ball 시험에서의 강도 식과 등가 반지름을 이용하여 계산한 ball-on-3-ball 시험에서의 이축 강도와, piston-on-3-ball 시험에서의 이축 강도를 분산 분석(ANOVA)한 결과, 두 평균이 동일하다고 할 수 있었다. 따라서, ball-on-3-ball 시험에서의 이축 강도는 piston-on-3-ball 시험에서의 강도 식과 등가 반지름을 이용하여 계산할 수 있다. 또한, 유한 요소법을 이용하여 ball-on-3-ball 시험시 시편에 인가되는 응력 분포를 고찰해 보았다.

• 전자공학회논문지 IE
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• v.47 no.2
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• pp.54-59
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• 2010

This paper suggests a new data link protocol with an adaptive frame length control scheme for wireless data networks which is subject to errors that occur with time variance. We analyze the proposed scheme under a two-state markov block interference(BI) model. Numerical results show that the proposed scheme can achieve high throughput performance for both dense and diffuse burst noise channels.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.115-115
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• 2000

A gait pattern classification method using electromyography(EMG) signal is presented. The gait pattern with four stages such as stance, heel-off, swing and heel-strike is analyzed and classified using feature parameters such as zero-crossing, integral absolute value and variance of the EMG signal. The EMG signal from Tibialis Anterior and Gastrocnemius muscles was obtained using the surface electrodes, and low-pass filtered at 10kHz. The filtered analog signal was sampled at every 0.5msec and converted to digital signal with 12-bit resolution. The obtained data is analyzed and classified in terms of feature parameters. Analysis results are given to show that the gait patterns classified by the proposed method are feasible.