• 한국산학기술학회논문지
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• 제18권8호
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• pp.210-220
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• 2017

본 연구는 요양시설 노인의 사회적지지(MOS-SSS), 신체적(ADL, IADL) 및 정신적(CES-D, MMSE-K) 건강수준이 삶의 질(WHOQOL-BREF)에 미치는 영향을 파악 하고자 시도하였다. 조사대상은 D광역시에 소재하고 있는 15개소의 요양시설에 입소하고 있는 65세 이상 노인 524명을 대상으로 하였다. 자료 수집은 2015년 11월부터 2016년 1월까지의 기간 동안에 조사원이 조사대상 요양시설을 직접 방문하여 면접 조사하였다. 연구결과, 삶의 질 평균 점수는 사회적지지 총점이 낮은 군일수록, ADL 및 IADL이 정상범위노인 군보다 기능장애노인 군에서, CES-D가 정상상태 군보다 우울상태 군에서, MMSE-K가 정상상태 군보다 인지기능장애 군에서 유의하게 낮았다. 조사대상자의 삶의 질은 사회적지지, 일상생활수행능력, 도구적 일상생활수행능력 및 인지기능장애와 유의한 양의 상관관계를 나타낸 반면, 우울과는 유의한 음의 상관관계를 나타내었다. 공분산 구조분석 결과, 신체적 기능은 정신적 기능이나 사회적지지 보다 삶의 질에 더 큰 영향을 미쳤으며, 신체적 기능, 정신적 기능 및 사회적지지가 낮을수록 삶의 질을 저하시키는 효과가 있는 것으로 나타났다. 따라서 요양시설 노인의 삶의 질을 증진시키기 위해서는 신체적 기능의 향상을 위한 구체적인 방안을 모색할 필요가 있다고 생각된다.

• 대기
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• 제26권3호
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• pp.483-492
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• 2016

We have examined the random error of eddy covariance (EC) measurements on the basis of two-tower approach during daytime. Two EC towers were placed on the grassland with different vegetation density near Gumi-weir. We calculated the random error using three different methods. The first method (M1) is two-tower method suggested by Hollinger and Richardson (2005) where random error is based on differences between simultaneous flux measurements from two towers in very similar environmental conditions. The second one (M2) is suggested by Kessomkiat et al. (2013), which is extended procedure to estimate random error of EC data for two towers in more heterogeneous environmental conditions. They removed systematic flux difference due to the energy balance deficit and evaporative fraction difference between two sites before determining the random error of fluxes using M1 method. Here, we introduce the third method (M3) where we additionally removed systematic flux difference due to available energy difference between two sites. Compared to M1 and M2 methods, application of M3 method results in more symmetric random error distribution. The magnitude of estimated random error is smallest when using M3 method because application of M3 method results in the least systematic flux difference between two sites among three methods. An empirical formula of random error is developed as a function of flux magnitude, wind speed and measurement height for use in single tower sites near Nakdong River. This study suggests that correcting available energy difference between two sites is also required for calculating the random error of EC data from two towers at heterogeneous site where vegetation density is low.

• 대한토목학회논문집
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• 제14권3호
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• pp.463-472
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• 1994

Random 지반운동에 대한 면진수조구조물 응답의 추계학적 해석방법을 연구하였다. 유연한 벽체와 내부유체간의 유체구조물 상호작용은 유체운동의 유한요소 모델링에 의하여 얻어지는 부가질량행렬 형태로 고려되었다. 정상(定常)(Stationary)지반운동으로는 수정된 Clough-Penzien Spectral Model이 사용되었으며, 비정상(非定常)(Nonstationary)지반운동으로는 상기모델에 포락함수를 적용한 모델을 사용하였다. 운동을 지배하는 Lyapunov Covariance Matrix 미분방정식의 해를 구하여 두 종류 면진시스템의 정상응답 및 비정상응답을 해석하였다.

• 응용통계연구
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• 제30권3호
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• pp.427-439
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• 2017

공변량(covariate)이 존재하는 경우, 각 처리군 간 효과의 차이를 검정하기 위한 대표적인 비모수적 방법에는 Quade (1967)가 제안한 검정법이 있다. 또한 반응변수에 대해 공변량으로 단순선형회귀분석을 실시하여 얻은 잔차에 대해 일원배치분산분석과 Kruskal Wallis가 제안한 방법을 적용하는 방법, 그리고 Hwang과 Kim (2012)이 제안한 비모수적 도구인 위치(placement)를 이용한 방법이 있다. 본 논문에서는 공분산분석 모형에서 Hwang과 Kim (2012)이 제안한 방법을 확장하여 공분산분석에서의 새로운 방법을 제안하였다. 또한 모의실험(Monte Carlo simulation study)을 통하여 기존의 검정법들과 제안한 방법의 검정력을 비교하였다.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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• pp.352-361
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• 2003

We have evaluated the extent of saltwater intrusion from electrical resistivity distribution in a coastal aquifer system in the southeastern part of Busan, Korea. This aquifer system is divided into four layers according to the hydrogeologic characteristics and the horizontal extent of intruded saltwater is determined at each layer through the geostatistical interpretation of electrical resistivity data. In order to define the statistical structure of electrical resistivity data, variogram analysis is carried out to obtain best generalized covariance models. IRF-k (intrinsic random function of order k) kriging is performed with covariance models to produce the plane of spatial mean resistivities. The kriged estimates are evaluated by cross validation to show a good agreement with the true values and the statistics of cross validation represented low errors for the estimates. In the resistivity contour maps more than 5 m below the surface, we can see a dominant direction of saltwater intrusion beginning from the east side. The area of saltwater intrusion increases with depth. The northeast side has low resistivities less than 5 ohm-m due to the presence of saline water in the depth range of 20 m through 70 m. These results show that the application of geostatistical technique to electrical resistivity data is useful for assessing saltwater intrusion in a coastal aquifer system.

• 한국통신학회논문지
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• 제30권6C호
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• pp.475-480
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• 2005

이동 통신 시스템에서 최대 도플러 주파수 정보는 여러 가지 채널 적응 기술들과 무선 자원 관리 방법들의 무선 채널에 대한 최적화를 가능하게 한다. 본 논문에서는 레벨 교차율(LCR: level crossing rate) 및 공분산 함수(COV: covariance)에 기반을 둔 두 가지 최대 도플러 주파수 추정 기법을 제안한다. 부가 잡음의 영향을 제거하기 위해 신호 대 잡음비(SNR)에 독립적인 성능을 위한 조건을 분석하고, 제시한 조건을 만족시키기 위하여 하향 표본화 (downsampling) 방법을 이용한 도플러 주파수 추정 알고리즘을 새로이 제안하다. 모의실험을 통해, 제안된 기법이 SNR 변화에 상관없이 좋은 성능을 나타냄을 확인할 수 있다.

• Communications for Statistical Applications and Methods
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• 제29권1호
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• pp.65-83
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• 2022

Although various statistical methods have been developed to map time-dependent genetic factors, most identified genetic variants can explain only a small portion of the estimated genetic variation in longitudinal traits. Gene-gene and gene-time/environment interactions are known to be important putative sources of the missing heritability. However, mapping epistatic gene-gene interactions is extremely difficult due to the very large parameter spaces for models containing such interactions. In this paper, we develop a Gaussian process (GP) based nonparametric Bayesian variable selection method for longitudinal data. It maps multiple genetic markers without restricting to pairwise interactions. Rather than modeling each main and interaction term explicitly, the GP model measures the importance of each marker, regardless of whether it is mostly due to a main effect or some interaction effect(s), via an unspecified function. To improve the flexibility of the GP model, we propose a novel grid-based method for the within-subject dependence structure. The proposed method can accurately approximate complex covariance structures. The dimension of the covariance matrix depends only on the number of fixed grid points although each subject may have different numbers of measurements at different time points. The deviance information criterion (DIC) and the Bayesian predictive information criterion (BPIC) are proposed for selecting an optimal number of grid points. To efficiently draw posterior samples, we combine a hybrid Monte Carlo method with a partially collapsed Gibbs (PCG) sampler. We apply the proposed GP model to a mouse dataset on age-related body weight.

• 여성건강간호학회지
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• 제22권1호
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• pp.30-38
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• 2016

Purpose: This study was conducted to examine effects of a sexual function improvement program on sexual distress, sexual satisfaction and marital intimacy among breast cancer survivors. Methods: With quasi-experimental design, a total of 54 women after breast surgery were assigned into experimental group (n=28) and control group (n=26) after recruited via convenience sampling. They were endocrine surgery outpatients in university hospital at Chonnam province. Experimental group received a sexual function improvement program 5 sessions over 5 weeks. Sexual distress, sexual satisfaction, and marital intimacy were examined with self-report structured questionaries. Data were analyzed using $x^2$ test, Fisher's exact, independent t-test, and analysis of covariance with SPSS 17.0/window program. Results: Women who participated in the sexual function improvement program had lower sexual distress (F=27.29, p<.001), higher sexual satisfaction (t=3.09, p=.003) higher marital intimacy (F=17.51, p<.001) than the women who did not participate. Conclusion: Results suggest that a sexual function improvement program can be effective strategy to improve sexual distress, sexual satisfaction and marital intimacy. Therefore, this program can be regarded as useful nursing intervention program for breast cancer survivors.

• Asian-Australasian Journal of Animal Sciences
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• 제30권10호
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• pp.1382-1387
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• 2017

Objective: During the last decade, genetic evaluation of dairy cows using longitudinal data (test day milk yield or 305-day milk yield) using random regression method has been officially adopted in several countries. The objectives of this study were to estimate covariance functions for genetic and permanent environmental effects and to obtain genetic parameters of 305-day milk yield over seven parities. Methods: Data including 60,279 total 305-day milk yield of 17,309 Iranian Holstein dairy cows in 7 parities calved between 20 to 140 months between 2004 and 2011. Residual variances were modeled by homogeneous and step functions with 7 and 10 classes. Results: The results showed that a third order polynomial for additive genetic and permanent environmental effects plus a step function with 10 classes for the residual variance was the most adequate and parsimonious model to describe the covariance structure of the data. Heritability estimates obtained by this model varied from 0.17 to 0.28. The performance of this model was better than repeatability model. Moreover, 10 classes of residual variance produce the more accurate result than 7 classes or homogeneous residual effect. Conclusion: A quadratic Legendre polynomial for additive genetic and permanent environmental effects with 10 step function residual classes are sufficient to produce a parsimonious model that explained the change in 305-day milk yield over consecutive parities of Iranian Holstein cows.

• Journal of the Korean Data and Information Science Society
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• 제25권1호
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• pp.237-244
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• 2014

It is known that the dierence in the length between two location parameters of two random variables is equivalent to the difference in the area between two cumulative distribution functions. In this paper, we suggest two applications by using the difference of distribution functions. The first is that the difference of expectations of a certain function of two continuous random variables such as the differences of two kth moments and two moment generating functions could be defined by using the difference between two univariate distribution functions. The other is that the difference in the volume between two empirical bivariate distribution functions is derived. If their covariance is estimated to be zero, the difference in the volume between two empirical bivariate distribution functions could be defined as the difference in two certain areas.