• Asian-Australasian Journal of Animal Sciences
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• v.15 no.11
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• pp.1527-1530
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• 2002

Factor analysis was applied to the phenotypic correlation matrix of 15 linear type traits (scored linearly 1 to 50 points) for 2035 Holstein cows of 38 sires computed from data collected between 1988 and 1992 in Beijing Shuangqiao Farm and Beijing Xijiao Farm. The 15 linear type traits were stature, body strength, body depth, dairy form, rump angle, rump length, rump width, rear leg side view, foot angle, fore udder attachment, rear udder height, rear udder width, udder cleft, udder depth and teat placement rear view. The first four components accounted for 49.1% of the total variance in type scores. Factor 1 reflected strong cows, with deep bodies, with long and wide rumps, and tall in stature. Factor 2 reflected cows with well attached fore udders, wide rear udders and whose udders were supported by strong suspensory ligaments with close teat placement. Factor 3 reflected cows with good dairyness, sickled in the hocks, high rear udders and udder floors above the hocks. Factor 4 reflected cows with sloping rumps from hooks to pins and with steep foot angle. Principal component and factor analyses are useful to clarify the relationships among type traits.

• Journal of Korean Society on Water Environment
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• v.30 no.2
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• pp.119-127
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• 2014

The objective of this study is to evaluate and analyze Sumjin River Basin water environment system. It was necessary to improve the water quality. The data were collected from 2010 January to 2012 December including Water Temperature, pH, DO, EC, $BOD_5$, COD, TOC, SS, T-N, T-P. The data were used to study were required to; Correlation Analysis; Principle Component Analysis; Factor Analysis. The results were as followed. According to correlation analysis on $BOD_5$ against COD, TOC it revealed that the each value of correlation coefficient were 0.715 and 0.719; this means the strength of the relationship is strong. The same analysis on T-P against $BOD_5$, COD, TOC, SS has revealed that the range of the correlation coefficient value fell between 0.482 and 0.608 which means strength of the relationship between them remained normal. Through correlation analysis, it has been found that all elements except T-N have high correlation. The results of principal component analysis to target the overall water quality was extracted to three main components. The cumulative contribution rate is 68.990%. In the case of seasonal water quality, Spring and Summer are extracted to each of four main components. The cumulative contribution rate is 81.515% and 73.550% respectively. Fall and Winter are extracted to each of three main components. The cumulative contribution rate is 65.072% and 72.721% respectively. There is no seasonality in the case of factor analysis. The first common factor is $BOD_5$, COD, TOC, SS, T-P, which were classified. Totally speaking, Sumjin River Basin water system gets highly affected by the nutrient salts, organic matter and suspended solid at the same time.

• The Journal of Korean Physical Therapy
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• v.25 no.3
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• pp.160-166
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• 2013

Purpose: The aim of the study was to survey satisfaction with physical therapy. Methods: After the physical therapy consultation, patients filled in a Korean-language version of the 20-tiem version of the MedRisk Instrument developed for measuring Patient Satisfaction with physical therapy. Items are scored on a five-point Likert scale ranging from strongly disagree to strongly agree. The last two items are general satisfaction and future return to the clinic. Age and gender information was also collected anonymously. Exploratory factor analysis based on principal components analysis with varimax rotation was performed on the first 18 items of the MedRisk Instrument using SPSS v.20. Results: Four factors emerged with eigenvalues greater than 1, and these cumulatively explained 55% of the total variance in item scores. The factors were labelled: Internal, External Positives, External Negatives, and Clinic Presentation. Correlations of the factor scores with the two global items ranged from 0.29 to 0.70 (both p<0.001). Gender differences were only found on the last factor, with male Korean patients rating Clinic Presentation significantly higher than females (p=0.001). Conclusion: Using factor analysis, the proposed factor structure was revealed using the positive and negative components of the external aspects of the physical therapy and by identifying a clinic presentation which contributes to patients' satisfaction. The largest proportion of the variance in Patient Satisfaction was related to clinicians' attention and behaviour. The results of the analysis provide guidelines as to the dimensions of professional physical therapy care and the implications for service delivery and patient experience.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.6
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• pp.747-754
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• 2004

The nonlinear finite element analysis for deformation characteristics of a power steering hose during the swaging process is performed in order to investigate the stress and the strain levels of the hose components. Power steering hose consists of components such as rubber hose, nylon, nipple and sleeve. Moreover, the numerical analysis requires the consideration of material, geometry and boundary nonlinearities. To evaluate the rubber hose strength, the measured stresses and strains are compared with tension and compression test data. Contact force is also a principal factor to examine whether rubber hose is break away from sleeve and nipple or not.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.15 no.11
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• pp.910-917
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• 2003

Fluid flow in a rectangular duct for 90$^{\circ}$ bend elbow with the ratio of 1.5 between its curvature radius and width is measured by 5 W laser doppler velocity meter. The fluid flow is also computed by commercial software of STAR-CD for comparison between measured and computed velocity profiles in the duct. Reynolds numbers for the comparison are 11,643, 19,746 and 24,260. From the comparison, computation of principal velocity components in the duct predicts the experimental data somewhat satisfactorily even though those of minor velocity components and turbulent kinetic energy do not match with the experimental data quite well. K-factor for the bend elbow is computed to be average 0.086 while the equivalent ASHRAE data is 0.07.

• Journal of Korean Society on Water Environment
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• v.27 no.6
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• pp.905-913
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• 2011

This study was conducted to characterize the discharge feature of pollutant load from the upper and lower watershed influencing on the water quality of South Han River using the empirical equation and Factor Analysis. The results of regression analysis between flow rate and pollutant load were as follows. In the streams of the upper watershed of South Han river, $BOD_5$ and $COD_{Mn}$ were increased as the flow rate was increased. Also, steep increases in SS and TP were observed with positive correlation with the flow rate while change in TN was slightly shown. On the other hand, in the streams of the lower watershed of South Han river, $BOD_5$ was negatively correlated with the flow rate, being decreased with the increase in the flow rate. However, changes in $COD_{Mn}$, TN, SS, and TP showed a similar trend with those observed in the upper watershed. With Factor Analysis of the water quality and various components, it was appeared that the flow rate, SS, and TP were significantly correlated each other and they were indicated as the principal component influencing on water quality in the streams of the upper watershed. In contrast, $BOD_5$, $COD_{Mn}$ and TOC were significantly correlated each other and they were included as the principal pollution component of the streams in the lower watershed. From these results, it was conclusive that the upper watershed of South Han River was mainly affected by non point source pollutants while the lower watershed was influenced by point source pollutants from the developed areas.

• Journal of the Korean Institute of Landscape Architecture
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• v.13 no.2
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• pp.37-70
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• 1985

The purpose of this study is to present objective basic data for environmental design by the quantitative analysis of visual quality emboded in physical environment. For this, as for the front garden of high schools, the spatial image was measured by the S.D. Scale Method, Factor Analysis was proceeded by the principal component analysis and the visual preference was investigated by the Paired Comparision Method. The scale values of plain and unpleasant road surface and external appearance of buildings, which are related to emotions of simpleness fell from straightness and stability, were found to be high. But, except for the road surface of Kyunggi High School, scale values of variables explaining the variation of the quality of materials, level of floor and rythm were generally low. For all green spaces, scale values of variables explaining the degree of pleasantness was found to be generally high. And, those explaining tidiness and characteristics of green spaces were not in the same tendency. But, the green spaces of Youngdong High school can be considered to the space with plenty of visual absorption uniqueness were high. As for the correlation between variables, variables for green spaces(12 and 26) and those for overall view of front garden( 1 and 4) revealed high positive correlation. Also, "order - disorder" and "convenient- incovenient" included in road surface variable can be regarded to have the same meaning since the correlation coefficient between them is very high, 0.7045. Image variables including road surface, external appearance of buildings, green spaces and overall view of front garden showed 91.21~61.08% of total variance. Thus, the remains can be considered to be the error valiance or specific variance. In Fctor I, II and III, main components explaining the road surface image of front gardens are order, hardness, texture, color, gradient and rythm. As for the external appearance of b wilding, variables of color, hardness, stability, peculiality and shape revealed high values of factor load. For all variables, communality was drastically high and ellen values and common variance were found to be very high in Factor I. As for the front gardens, variables explaining volume and peculiarity were found to be the main components of Factor I. In Factor II and III, variables of factor load were tidiness, pleasantness.

• Journal of the Korean Home Economics Association
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• v.33 no.6
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• pp.255-268
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• 1995

The purpose of this study is to provide basic information for elderly women's clothing construction and to develop dress form that can reflect the characteristics of their bodies. Three hundred twenty subjects, between the ages of 60∼85, were chosen and the data were collected from 59 anthropometric measurements of each subject. Data were analyzed by factor analysis of principal component model, cluster analysis, analysis of variance and duncan test. The results are as follows : 1. A decrease in height, an enlargement of the waist and abdomen area, and a dropped bustline are characteristics of elderly women. The upper-torso droops as a ge increase 2. Seven factors were extracted from anthropometric measurements. Factor components were obesity, height, shoulder shaper, the center front bodice length, the center back bodice length, the bust and neck shape, the degree and level of scapular protusion. 3. After analyzing seven factors, four types were categorized.

• The Research Journal of the Costume Culture
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• v.13 no.6 s.59
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• pp.990-998
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• 2005

The purpose of the study was to examine Korean elderly women's attitudes toward fashion and to determine formal jacket designs preferred by them. The subjects of the study were older than 50 years who will become aging population in 2014. For data collection, interview investigated 200 copies of questionnaire were collected, and available data used final analysis were 174 volumes. As the results of the principal components factor analysis, it revealed 4 attitudinal factors including cautious attitude, fashion-conscious attitude, ostentatious attitude, and easy-conscious attitude. The subjects divided into two groups, highly involved group and lowly involved group, for each factor. As the result of preference differences by the degree of each attitude, it revealed that the attitudes toward fashion products would significantly influence elderly women's jacket design preferences. The results of the study show that they are a diverse group whose consumer needs and wants vary dramatically and give initial information to assist designing appropriate formal jacket for elderly women.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.1
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• pp.83-88
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• 2010

This paper has analyzed Seoul metropolitan area on the basis of cluster characteristics and it is to understand the traits of each clusters. In order to modelize the area, 10 different indicators were selected among components of a city such as population, activities, land and facilities. Also through principal component analysis, similar characteristics or congenialities of the variables were derived as a common factor. The result was organized by factor score from hierarchical clustering method and as a final result, metropolitan area was clustered into five areas.