• 제목/요약/키워드: Principal Components Factor

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Phenotypic Factor Analysis for Linear Type Traits in Beijing Holstein Cows

  • Chu, M.X.;Shi, S.K.
    • Asian-Australasian Journal of Animal Sciences
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    • 제15권11호
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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.

다변량 분석법을 이용한 섬진강 수계의 수질 특성 연구 (A Study on Characteristics of Water Quality using Multivariate Analysis in Sumjin River Basin)

  • 박진환;문명진;이형진;김갑순
    • 한국물환경학회지
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    • 제30권2호
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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.

Factor Structure of a Korean-Language Version of the Patient Satisfaction with Procedural Aspects of Physical Therapy Instrument

  • Lee, Hae-Jung;Adams, Roger;Oh, Tae-Young
    • The Journal of Korean Physical Therapy
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    • 제25권3호
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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.

자동차용 파워스티어링 호스의 스웨이징 공정 유한요소해석 (Finite Element Analysis of Swaging Process for Power Steering Hose)

  • 노기태;전도형;조진래
    • 대한기계학회논문집A
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    • 제28권6호
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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.

곡면 엘보우를 가진 사각덕트 내의 유속측정 및 수치계산에 관한 연구 (Study on Velocity Measurement and Numerical Computation in a Rectangular Duct with $90^\circ$ Bend Elbow)

  • 윤영환;박원구
    • 설비공학논문집
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    • 제15권11호
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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.

경험식과 요인분석을 통한 오염물질 유출 특성 연구 - 남한강 상·하류 수계 주요 하천을 중심으로 (A Study on the Discharged Characteristics of the Pollutants using the Empirical Equation and Factor Analysis - Case Study of the Upper and Lower Watershed of South Han River)

  • 박지형;손수민;류덕희
    • 한국물환경학회지
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    • 제27권6호
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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.

고등학교 전정의 공간 Image와 시각적 선호도 조사에 관한 연구 (A Study on the Spatial Image and Visual Preference for Front Gardens of High School)

  • 진희성;서주환
    • 한국조경학회지
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    • 제13권2호
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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.

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노년 여성의 연령집단별 동체부 형태 분석 (An Analysis of Torso somatotype according to age group of Elderly Women)

  • 최인순
    • 대한가정학회지
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    • 제33권6호
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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.

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노년 여성의 패션에 관한 태도와 기성복 재킷의 선호 디자인에 관한 연구 (A Study of Elderly Women's Attitudes toward Fashion and Design Preferences for Ready-Made Jacket)

  • 백재은
    • 복식문화연구
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    • 제13권6호통권59호
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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.

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군집분석을 이용한 수도권 도시의 유형화에 관한 연구 (Charaterization of Cities in Seoul Metropolitan Area by Cluster Analysis)

  • 송민경;장훈
    • 대한공간정보학회지
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    • 제18권1호
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    • pp.83-88
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    • 2010
  • 본 논문은 수도권 내 지역을 도시적 특성에 따라 군집 분석하여 수도권의 지역유형을 구분하고 그 특성을 파악하고자 하였다. 수도권 도시의 유형화를 위해 2005년을 시점으로 도시의 구성요소인 인구, 활동, 토지 및 시설을 나타내는 지표 10가지를 선정하였으며, 주성분분석을 통해 변수들의 공통된 특성이나 유사한 성질에 따라 공통인자를 추출하였다. 추출된 인자에 대한 인자득점을 이용하여 군집분석을 행하였고, 군집분석의 방법은 계층적 군집방법인 최단연결법, 최장연결법, 평균연결법, 와드법을 이용하였다. 그 결과 수도권을 5개의 군집으로 유형화 할 수 있었다.