• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.285-288
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• 2001

In this paper, we proposed new method of speech feature extraction using ICA(Independent Component Analysis) which minimized the dependency and correlation among speech signals on purpose to separate each component in the speech signal. ICA removes the repeating of data after finding the axis direction which has the greatest variance in input dimension. We verified improvement of speech recognition ability with training and recognition experiments when ICA compared with conventional mel-cepstrum features using HMM. Also, we can see that ICA dealt with the situation of recognition ability decline that is caused by environmental noise.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.239-250
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• 1998

A method of finding optimal linear restriction on regression parameters in linear model for mixture experiments in the sense of minimizing integrated mean squared error is studied. We use the formulation of optimal restrictions on regression parameters for estimating responses proposed by Park(1981) by transforming mixture components to mathematically independent variables.

• 한국정보교육학회:학술대회논문집
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• 2004.08a
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• pp.504-510
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• 2004

정보 사회의 급속적인 발달로 인해 컴퓨터 교과가 독자적인 교과로 채택되어야 하는 필요성이 높아지고 있다. 현재 사용하고 있는 초등학교 컴퓨터 교과서는 기능위주의 교과서로 구성되어 있어서 독립교과로서의 컴퓨터 교과서로는 사용하기 어렵다. 따라서 본 고에서는 독립교과로서의 컴퓨터 교과서의 새로운 단원 구조를 제시해보고 그 예시안을 제안하며, 컴퓨터 교과서의 형태 측면에서 보조교과서의 형태 방향과 e-textbook의 형태 방향을 제안하였다.

• The Journal of the Korean life insurance medical association
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• v.32 no.1
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• pp.8-14
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• 2013

Evidence-based medicine(EBM) or evidence-based health care has been used in clinical medicine. Recently, it also has been applied to areas of social medicine such as independent medical examination. Insurance medicine is one of social medicine, as for it's role is maintenance of sound insurance system or for insured of life insurance. Practical application of EBM to the insurance medicine are; confirming question, finding evidence, and evaluation that selected evidence is best or not in terms of practical aspect.

• Communications for Statistical Applications and Methods
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• v.6 no.2
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• pp.645-658
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• 1999

One of the most popular graphical techniques for goodness of fit problems is the quantile-quantile plot(Q-Q plot) Easton and McCulloch(1990) suggested a way of generalizing Q-Q plots to multivariate cases bases on finding a matching between the points of the data set whose shape is being examined and a reference sample. in this paper we investigated the asymptotic behavior of the generalized Q-Q plot for bivariate cases. As a result we concluded that the standard univariate Q-Q plot and the generalized Q-Q plot have the same limit if two variables are independent.

• 제어로봇시스템학회:학술대회논문집
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• 1987.10b
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• pp.643-646
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• 1987

A criterion is developed for the, selection of the best pairing of the control and manipulated variables and for the interaction analysis of decentralized multi-input multi-output control systems. This criterion is based on the difficulty caused by the interaction terms in finding the in-verse of the block steady gain matrix. A quantitative measure of the best pairing is obtained from the resemblance of a set of independent block multi-loop systems. Several examples show the validity of the pairing criterion.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.2164-2167
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• 2003

In this paper we propose effective speech recognizer through recognition experiments for three feature parameters(PCA, ICA and MFCC) using SVM(Support Vector Machine) classifier In general, SVM is classification method which classify two class set by finding voluntary nonlinear boundary in vector space and possesses high classification performance under few training data number. In this paper we compare recognition result for each feature parameter and propose ICA feature as the most effective parameter

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.763-767
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• 1994

The measured vibration on a machine or a structure is shaped by the excitation waveform and the path transfer function. Mechanism diagnostics tends to focus on retrieving source featurce by minimzing the effects of the structural path, while in structural diagnostics we are more interested in minimizing source effects and retrieving path parameters. In structural diagnostics, therefore, there are experimental issues of gathering data that are independent source effects and finding a transfer function signature that reveals structural defects. This paper describes how the transfer function can be obtained more accurately by experiment using the compatibility relationship which is newly discovered.

• Journal of the Korean Society of Safety
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• v.11 no.2
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• pp.9-15
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• 1996

The characteristics on the extension of the CED(Crack energy density) concept to the interface kinked crack problems in a dissimilar material are examined. Each mode contributions of CED are found by symmetric and antisymmetric components and domain independent integrals. Finite element calculation is carried out to simulate the Interface kinked crack growth on bimaterial. The focus is the establishment of fracture criterion with CED and finding the orientation of crack extension. From the results, a prediction about the extension behavior of an interface kinked crack can be done. And we show that CED can be a parameter to indicate fracture criterion at an Interface kinked crack.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.113-122
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• 2017

This study was conducted to understand the factors influencing happiness of college students while focusing on meaning in life and to supply an interventional way for promotion of happiness of college students. The subjects were 205 students in C city and the data were collected from 20-30 October 2016. Data were analyzed based on themeans using an independent t-test, ANOVA, $Scheff{\acute{e}}^{\prime}s$ method, Pearson's correlation coefficients and stepwise multiple regression. Significant differences were found in the happiness grades by sex (p=0.045), age (p=0.019), degree (p=0.038), satisfaction in major (p<0.001), and perceived health condition (p<0.001). Happiness was positively related to self-confidence (p<0.001), self-control (p<0.001), positive emotion (p<0.001), meaning in life (p<0.001), finding meaning in life (p<0.001), and search for meaning in life (p<0.001). Uponmultiple regression analysis, finding meaning in life, perceived health condition, and satisfaction withmajor accounted for 41.0% of the happiness, with finding meaning in life beingthe most influential factor.