• 응용통계연구
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• 제20권1호
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• pp.147-157
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• 2007

에지검출은 컴퓨터비전과 영상처리 시스템에서 널리 사용되는 단계이다. 본 논문에서는 잡음영상에서 효율적인 에지검출을 위해 이표본 위치 문제에서 월콕슨 검정의 대안인 로버스트 순위-순서 검정에 기초한 새로운 검출법을 제안하였다. 제안된 방법은 $\delta$-에지모형하에서 $5\times5$ 윈도우의 부분 픽셀만으로 구성된 근방영역 간에 통계적으로 유의한 차이가 있는지를 조사하였다. 제안된 에지 검출법의 성능을 평가하기 위해 실제영상과 인조영상을 가지고 영상실험을 통하여 얻은 에지맵과 객관적인 척도하에서 양적으로 비교 분석하였다.

• Journal of health informatics and statistics
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• 제42권1호
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• pp.53-62
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• 2017

Objectives: The purpose of this study was to provide the basic materials to form sense of value for health and to emphasize the importance of physical education by comparative analysis of physique, physical fitness, body composition and blood. Methods: The subjects were 188 female college students and they were classified 3 groups by BMI: lower weight group (LWG), normal weight group (NWG), and over weight group (OWG). Results: In the physique, there was significantly high in order LWGNWG, OWG in unbalance of the upper and lower parts of the body, and LWG, OWGNWG, OWG in HDL-C. Conclusions: In the result of this study, it is recognized that regular exercise as well as eating right, life style are needed and offered to take part in the exercise programs for healthy campus life of female college students.

• 한국인터넷방송통신학회논문지
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• 제12권2호
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• pp.159-165
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• 2012

본 논문에서는 통신 채널에서 발생되는 찌그러짐과 잡음의 영향을 최소화하기 위하여 사용되는 적응 등화 알고리즘인 MMA (Multi-Modulus Algorithm)와 SCA (Square Contour Algorithm)의 성능을 비교하였다. 송신 신호는 통신 채널의 진폭 전달 특성과 위상 전달 특성의 비선형성으로 인하여 찌그러져 수신될 것이므로 수신측에서 자기 적응 등화 방식을 사용하여 이들을 보상하는 것이 필요하게 된다. 자기 적응 등화 알고리즘에서는 Constant Modulus가 중요한 의미를 가지는데, 이의 계산을 위하여 MMA는 송신 신호의 2차와 4차 의 고차 통계치를 이용하지만 SCA는 2차 통계치만을 이용하는 Modulus를 이용하게 된다. 다른 알고리즘에 비해 간단한 연산으로 이들 2 가지의 전달 특성을 동시에 보상할 수 있는 알고리즘인 MMA와 SCA의 성능을 컴퓨터 시뮬레이션을 통해 비교하였다. 이때 성능의 비교를 위하여 필수적인 복원 성상도, 잔류 isi양 및 MSE, SER을 사용하였으며, 성능의 비교 결과 송신 신호의 고차 통계치를 이용하는 MMA 방식이 MSE, SER,에서 저차 통계치를 이용하는 SCA 방식보다 우월하였으며 복원 성상도와 잔류 isi에서는 SCA가 MMA보다 우월함을 알 수 있었다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1991년도 춘계학술대회
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• pp.9-12
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• 1991

The correlation search method yields velocity information by tracking scatter patterns between medical image frames. The displacement vector between a target region and the best correlated search region indicates the magnitude and direction of the inter-frame motion of that particular region. However, if the noise sources in the target region and the search region are correlated Gaussian, then the cross-correlation technique fails to work well because it estimates the cross-correlation of both signals and noises. In this paper we develop a new correlation search method which seeks the best correlated third-order statistics between a target and the search region to suppress the effect of correlated Gaussian noise sources. Our new method yields better estimations of velocity than the conventional cross-correlation method.

• Communications for Statistical Applications and Methods
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• 제9권3호
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• pp.845-851
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• 2002

An efficient method is developed to obtain the maximum flow for a network when its simple paths are known. Most of the existing techniques need to convert simple paths into minimal cuts, or to determine the order of simple paths to be applied in the process to reach the correct result. In this paper, we propose a method based on the concepts of signed simple path and signed flow defined in the text. Our method involves a fewer number of arithmetic operations at each iteration, and requires fewer iterations in the whole process than the existing methods. Our method can be easily extended to a mixed network with a slight modification. Furthermore, the correctness of our method does not depend on the order of simple paths to be applied in the process.

• Journal of applied mathematics & informatics
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• 제27권1_2호
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• pp.123-137
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• 2009

A multiobjective variational problem involving higher order derivatives is considered and Fritz-John and Karush-Kuhn-Tucker type optimality conditions for this problem are derived. As an application of Karush-Kuhn-Tucker optimality conditions, Wolfe type dual to this variational problem is constructed and various duality results are validated under generalized invexity. Some special cases are mentioned and it is also pointed out that our results can be considered as a dynamic generalization of the already existing results in nonlinear programming.

• Communications for Statistical Applications and Methods
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• 제12권3호
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• pp.557-587
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• 2005

This paper elucidates the limiting Gaussian distribution of a class of rank order statistics {$T_N$} for two sample problem pertaining to empirical processes of the squared residuals from two independent samples of GARCH processes. A distinctive feature is that, unlike the residuals of ARMA processes, the asymptotics of {$T_N$} depend on those of GARCH volatility estimators. Based on the asymptotics of {$T_N$}, we empirically assess the relative asymptotic efficiency and effect of the GARCH specification for some GARCH residual distributions. In contrast with the independent, identically distributed or ARMA settings, these studies illuminate some interesting features of GARCH residuals.

• Communications for Statistical Applications and Methods
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• 제23권5호
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• pp.363-383
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• 2016

The Weibull family of lifetime distributions play a fundamental role in reliability engineering and life testing problems. This paper investigates the potential usefulness of transmuted new generalized Weibull (TNGW) distribution for modeling lifetime data. This distribution is an important competitive model that contains twenty-three lifetime distributions as special cases. We can obtain the TNGW distribution using the quadratic rank transmutation map (QRTM) technique. We derive the analytical shapes of the density and hazard functions for graphical illustrations. In addition, we explore some mathematical properties of the TNGW model including expressions for the quantile function, moments, entropies, mean deviation, Bonferroni and Lorenz curves and the moments of order statistics. The method of maximum likelihood is used to estimate the model parameters. Finally the applicability of the TNGW model is presented using nicotine in cigarettes data for illustration.

• Communications for Statistical Applications and Methods
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• 제26권6호
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• pp.527-538
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• 2019

This paper considers the issue of obtaining the optimal design in Poisson regression model when the sample size is small. Poisson regression model is widely used for the analysis of count data. Asymptotic theory provides the basis for making inference on the parameters in this model. However, for small size experiments, asymptotic approximations, such as unbiasedness, may not be valid. Therefore, first, we employ the second order expansion of the bias of the maximum likelihood estimator (MLE) and derive the mean square error (MSE) of MLE to measure the quality of an estimator. We then define DM-optimality criterion, which is based on a function of the MSE. This criterion is applied to obtain locally optimal designs for small size experiments. The effect of sample size on the obtained designs are shown. We also obtain locally DM-optimal designs for some special cases of the model.

• 한국전산유체공학회지
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• 제16권4호
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• pp.100-109
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• 2011

Large eddy simulation(LES) of fully developed turbulent pipe flow has been performed to investigate the effect of Reynolds number on the flow field at $Re_{\tau}$=180, 395, 590 based on friction velocity and pipe radius. A dynamic subgrid-scale model for the turbulent subgrid-scale stresses was employed to close the governing equations. The mean flow properties, mean velocity profiles and turbulent intensities obtained from the present LES are in good agreement with the previous numerical and experimental results currently available. The Reynolds number effects were observed in the higher-order statistics(Skewness and Flatness factor). Furthermore, the budgets of the Reynolds stresses and turbulent kinetic energy were computed and analyzed to elucidate the effect of Reynolds number on the turbulent structures.