• Asian-Australasian Journal of Animal Sciences
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• v.21 no.4
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• pp.478-483
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• 2008

Records of a Northeastern Thai indigenous cattle line population were used to estimate genetic parameters and annual trends for calf weights. The data set comprised records of 1,922 and 1,489 animals for birth and weaning weight, respectively born from 1993 to 2004. A bivariate analysis was carried out for variance and covariance components estimations using average information restricted maximum likelihood procedure. Average estimated breeding value and maternal breeding value of the animals born in 1993 were set to zero as a base group. Genetic trends of each trait were calculated by regressing average estimated breeding values and maternal breeding values on birth year of calves. Phenotypic trends for each trait were calculated by regressing the yearly adjusted weight on birth year of calves. The results revealed that the estimate of direct heritability, maternal heritability and maternal permanent environmental variance as a proportion of phenotypic variance for birth and weaning weight was 0.40, 0.14 and 0.04; 0.27, 0.05 and 0.23, respectively. Direct heritability was moderately heritable and genetic improvement through selection can be achieved. The estimate of phenotypic, direct genetic, maternal genetic and maternal permanent environmental correlation between birth and weaning weight was 0.48, 0.65, 0.98 and 0.73, respectively. The phenotypic trend, genetic trends of estimated breeding value and maternal breeding value for birth weight was 0.18, 0.04 and 0.01 kg/year, respectively. The phenotypic trend, genetic trends of estimated breeding value and maternal breeding value for weaning weight was -1.36, 0.32 and 0.03 kg/year, respectively. As maternal genetic effect was considerably less important than direct genetic effect, selection for improved weaning weight of this Northeastern Thai indigenous cattle line can place more emphasis on the direct genetic effect.

• International Journal of Human Ecology
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• v.11 no.1
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• pp.85-96
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• 2010

This study examined how the quality of teacher-child interactions and the teachers' beliefs about their influence on children's social behaviors were related to children's social behaviors. The subjects were 206 children at the age of five and 52 of their teachers in 49 daycare centers. Children's social behaviors were recorded using observational categories. The quality of teacher-child interactions was measured by a rating scale that originated from the OSDCP (Rhee et al., 2003). The results were as follows: 1) Children who experienced high-quality interactions with their teachers showed fewer purposeless solitary behaviors and negative behaviors toward their peers and interacted toward their teachers more frequently than did those who experienced low-quality interactions with their teachers. 2) Children whose teachers believed that they had a great deal of influence on children's social behaviors displayed fewer purposeless solitary behaviors and more positive behaviors toward peers than did children whose teachers considered their influence less important. 3) After controlling the contributions of children's gender and teacher's training experience, the quality of teacher-child interactions and teachers' beliefs explained about 14% of the total variance of children's purposeless solitary behaviors. In addition, the quality of teacher-child interactions and teachers' beliefs accounted for 6% of the total variance of children's positive behaviors toward peers. Also, the amount of explanation of the predictive variables accounts for 9% of the total variance of children's behaviors toward their teachers.

• Korean Journal of Human Ecology
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• v.22 no.1
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• pp.57-74
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• 2013

The purpose of this study was to identify how age-identity is associated with the attitude toward the elderly and self-esteem of the aged. The subjects were 366 adults aged 60 and over. The statistics used for the data analysis were reliability test, frequency, percentage, mean, standard deviation, one way ANOVA, correlation and multiple regression. The results of this study were as follows; First, The majority of elderly acknowledged psychological ages as their actual ages. Secondly, The degrees of elderlys' age-identity was 2.12, and the levels of the attitude toward the elderly was 60.62. Also, The degrees of elderlys' self-esteem was 24.16. The surveyed data showed higher means than medians. Third, The age-identity of elderly was significant with respect to spouse, religion, career, living state, sex, age, gap of actual age, health state, economic state, education, monthly living expenses. And the attitude toward the elderly was stastically significant with respect age-identity, career, spouse, religion, living state, health state, education, monthly living expenses, economic state, gap of actual age, and age. Moreover, The elderlys' self-esteem level was significant with respect to spouse, age-identity, living state, religion, career, economic state, monthly living expenses, the attitude toward the elderly, health state, education, and age. Finally, The variables affecting the age-identity of elderly were health state, economic state, religion, age that explained about 34% of the total variance. And The attitude toward the elderly were age-identity, health state, gap of actual age that explained about 19% of the total variance. Also, The variables that affect elderlys' self-esteem were economic state, age-identity, the attitude toward the elderly, sex, monthly living expenses that explained about 33% of the total variance.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.2
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• pp.19-26
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• 2009

This paper studies on the recognition rate change with respect to illumination variance and the confidence level of PCA(Principal Component Analysis) based face recognition by measuring the cumulative match score of CMC(Cumulative Match Characteristic). We studied on the confidence level of the algorithm under illumination changes and selection of training images not only by testing multiple training images per person with illumination variance and single training image and but also by changing the illumination conditions of testing images. The experiment shows that the recognition rate drops for multiple training image case compared to single training image case. We, however, confirmed the confidence level of the algorithm under illumination variance by the fact that the training image which corresponds to the identity of testing image belongs to upper similarity lists regardless of illumination changes and the number of training images.

• Journal of Fashion Business
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• v.6 no.6
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• pp.34-42
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• 2002

Anthropometric studies and multicultural research on body changes are fundamental and important data for domestic apparel industry and for globalization of women's clothing marketing. The objective of this study is to compare the general body measurements and shoulder angles of Korean and U. S. elderly women to supply basic data for the apparel design. The anthropometric data was collected including both direct and indirect measurements of 272 women over the age of 55 in Korean (subject = 123) and the U.S (subject = 149). The statistical methods used for the analysis of measurement data are the factor and cluster analysis respectively. The results of the factor analysis indicated that 5 factors can be extracted in Korean and 4 factors can be extracted in the U. S. from 15 body measurements to explain the variance. The results of cluster analysis by shoulder slope angle and forward displacement of the shoulder of Korean and the U. S. women classified them in three groups, cluster 1, cluster 2 and cluster 3 respectively.

• 한국방재학회:학술대회논문집
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• 2007.02a
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• pp.575-578
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• 2007

The objective of this study is to analyze the regionalization of point rainfall by statistical methods for regional frequency analysis of the rainfall. The rainfall data used in this study are annual maximum rainfall at 57 stations during the period of more than 30 years for 12 durations(10min, 1, 2, 3, 4, 5, 6, 8, 10, 12, 18, 24hr) in Korea. The Mann-Whitney U test, Kruskal-Wallis one-way analysis of variance of nonparametric test the principal component and the cluster analysis have been performed to analyze the regionalization of rainfall. The results of this study are as follows; (1) The region which hydrological homogeneous is accepted does not exist for whole duration in Korea. (2) The result of nonpametric test shows that hydrological homogeneous regions of point rainfall are divided by 5 regions. (3) In case of cluster analysis hydrological homogeneous regions of point rainfall are divided by 6 regions and 4 other areas.

• Journal of Energy Engineering
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• v.14 no.1
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• pp.46-53
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• 2005

This paper presents a new approach for determining an accurate incentive levels of Direct Load Control (DLC) program using probabilistic techniques. The economic analysis of DLC resources needs to identify the hourly-by-hourly expected energy-not-served resulting from the random outage characteristics of generators as well as to reflect the availability and duration of DLC resources, which results the computational explosion. Therefore, the conventional methods are based on the scenario approaches to reduce the computation time as well as to avoid the complexity of economic studies. In this paper, we have developed a new technique based on the sequential Monte Carlo simulation to evaluate the required expected load control amount in each hour and to decide the incentive level satisfying the economic constraints. In addition, we have applied the variance reduction technique to enhance the efficiency of the simulation. To show the efficiency and effectiveness of the suggested method, the numerical studies have been performed for the modified IEEE 24-bus reliability test system.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.2
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• pp.237-244
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• 2000

This study was carried out on 91 obese women who satisfied both of the conditions for obesity: over 1.6 in Rohrer index and over 90cm in bust girth. The purpose of this study was to analyze and classify the lower body of obese women and find out their respective characteristics. Twenty seven measurement items(21 direct measurement items and 6 indirect measurement items) were used for factor-analysis and cluster-analysis. In the study of lower body type, 7 factors were as a result of factor analysis and those factors were comprise 75.9% of total variance. Lower bodyshape were classified 3 types according to the cluster analysis. Type 1 was protrude of the hip, type 2 was short leg and protrude of the abdominal region and type 3 was obese of hip and long leg.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.10
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• pp.73-81
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• 2015

The paper proposes a prototype selection method and evaluates the generalization performance of standard algorithms and prototype based classification learning. The proposed prototype classifier defines multidimensional spheres with variable radii within class areas and generates a small set of training data. The nearest-neighbor classifier uses the new training set for predicting the class of test data. By decomposing bias and variance of the mean expected error value, we compare the generalization errors of k-nearest neighbor, Bayesian classifier, prototype selection using fixed radius and the proposed prototype selection method. In experiments, the bias-variance changing trends of the proposed prototype classifier are similar to those of nearest neighbor classifiers with all training data and the prototype selection rates are under 27.0% on average.

• Korean Journal of Plant Resources
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• v.11 no.2
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• pp.210-216
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• 1998

Taxonomic studies in external morphology, principal component analysis and cluster analysis were conducted to understand the intraspecific relationship among three habitats (Jirisan, Odaesan and Ulleungdo) of allium voctorialis var. platyphyllum. External morphology such as bulb color, leaf blade length and width, petiole length, total leaf length, peduncle length, perianth lobe length and width, length of anther and filament were useful characters for identification of poplations in three habitats. The results obtained based on the principal component (Pc) analysis of treated 72 OTUs(included outgroup) were divided into three groups by the PC 1 ,2,3 and the sums of contributions for the total variance were 84.1%(PC1 51.0%, PC2 24.9% and PC3 8.2%, respectively). In cluster analysis by the UPGMA and Ward's methods , there was similarities in the compostion of clustered taxa, and only Ulleungdo population was distinctly identified from population of other two habitats.