• 한국의류학회지
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• 제19권3호
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• pp.463-470
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• 1995

Anthropological measurements concerning 29 items were made on 37 adult males aged from 20 to 60. Factor analysis was applied in all 36 items. The main results are as gallows 1. Neck girth and need base girth are smaller. in the elder croup than the gouger group. 2. These decrease occur in the frontal part of the neck. 3. Neck frontal width decreases with age, but side depth increases. 4. The back part of the body depth at the level of the shoulder increases with age. 5. For the factor analysis, the third factor is a factor of forms, the variations of which has a relation with age.

• 대한인간공학회지
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• 제15권2호
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• pp.149-155
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• 1996

The purpose of this study is to provide basic information for elderly women's clothing design and to develop dress forms that can reflect the characteristics of their bodies. Three hundered twenty subjects, between the ages of 60 .approx. 85, were chosen and the data were collected from anthropometric data. Principal component analysis which is one of the basic methods in factor analysis was applied to the interpretation of anthropometric data. As a result of analysis, the data are able to be decided into appropriate group.

• 한국생활과학회지
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• 제8권2호
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• pp.313-325
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• 1999

This study aimed to classify the data of children's bodies into several clusters by principal component scores that were extracted through the factor analysis in the former study, and to describe the distribution and body characteristics of the clusters. The sample was 308 elementary school children aged from 6 to 8 and the anthropometric measurements were performed indirectly from the photographs of the subjects, which was the same as the first analysis. The data were analysed statistically using SPSSWIN Ver. 8.0. Through the statistical analysis, 3 clusters were obtained from the data. The first cluster distributed more in the children aged 7 and 8 than in the children aged 6. The somatotype of this group was the tallest among the three groups, and they were the most developed group compared to the two other groups in lateral component as well as in linear component. The second cluster group wasn't well developed in lateral components, and had lowest level in Rohrer Index, so this group had thin figures compared to the other groups. The third cluster revealed dominant distribution in the group aged 6, and the group had the least developed linear components but higher level in Rohrer Index. Each cluster group revealed peculiar somatotype that was dominant in one group but rarely in other cluster groups. Lateral views of these characteristics were showed using the average of the measurements of clusters.

• 한국작물학회지
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• 제38권1호
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• pp.31-37
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• 1993

우리나라 주요 벼 재배품종 및 신육성계통(자포니카: 25품종, 통일형:8품종)에 대한 쌀 알칼리 붕괴성의 품종적 특이성을 분시검토하여 보고자 KOH 농도를 0.8-1.8까지 0.2% 간격으로 처리하여 농도별 쌀의 알칼리 붕괴반응을 조사하고 주성분분석법을 적용하여 품종적 유형을 분류하였다. 주성분분석에서 상위 2개 주성분치의 변이가 전변이량의 92%을 차지하였고 제1 및 제2 주요분치 좌표상의 품종분포에 따라 크게 4개 유형으로 군집화 시킬 수 있었다. 제 I 군에서는 전 KOH 농도에 걸쳐 거의 비슷하게 알칼리 붕괴성(ADV)가 낮은 도봉벼만 유일하게 분포하였고, 제 II군에는 1.4% KOH 농도에서 중간정도의 ADV 이면서 고-저 알칼리 농도 ADV간차가 중도인 백운찰벼, 신선찰벼 및 수원 34002 등 찰벼가 포함되어 있었다. 제 III군에는 1.4% KOH 농도에서 중-중고의 ADV 이면서 저-고 KOH 농도간 ADV 변화가 심했던 대부분의 통일형 품종과 자포니카 조생계가 분포되어 있었고 육도농림찰 001와 한강 찰벼등은 이 유형에 포함되어 있었다. 제 IV군에는 1.4% KOH 농도에서 ADV가 중고이상으로 높으면서 고-저 알칼리 농도 ADV간차가 중-중고인 중생 및 중만생 자포니카 품종들이 주로 분포 하였으며 조생인 금조벼가 이 유형에 속하였다. 여기서 제 1 주성분은 전 알칼리 농도에서 평균적으로 표현되는 붕괴성 정도였고 제 2 주성분은 저-고 KOH 농도의 ADV간 차 또는 KOH 농도에 따른 ADV 변화의 회귀계수와 밀접하게 관련된 요소였다. 1.2%-1.4% KOH 농도에서의 ADV는 저-고 KOH 농도간 ADV차와 2차 곡선 회귀계수를 나타내었다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2018년도 추계학술대회
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• pp.87-89
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• 2018

We proposed an improved reliable SVD-based watermarking scheme resistant to geometric attacks while having high fidelity with no false-positive problem. Principal components of a watermark image are embedded into singular values of LL, LH, HL, and HH sub-bands of a transformed cover image by RDWT(redundant discrete wavelet transform) with optimal scale factors. Each scale factor is generated by trading-off fidelity and robustness using Differential Evolution (DE) algorithm. Zernike Moment (ZM) is used to estimate the geometric distortion and to correct the watermarked image before extracting watermark. The proposed scheme improves fidelity and robustness of existing reliable SVD based watermarking schemes while resisting to geometric attacks.

• Journal of Animal Science and Technology
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• 제52권3호
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• pp.167-174
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• 2010

The objectives of this study were to quantify the combination values of the principal components and factors calculated using body measurements of Hanwoo (Korean Cattle) and estimate their heritabilities. The technique of multivariate analysis was used to reduce a large number of variables to a smaller number of new variables and characterize cattle according to body shape. The analyses were performed using 1,979 cattle at 12 months of age and 936 cattle at 24 months of age. The data for the analyses was obtained from progeny tests performed on Korean Cattle for 6 years from 2003 to 2008. The phenotypic correlations among these traits were estimated to range from 0.32 to 0.90 at 12 months of age and from 0.21 to 0.82 at 24 months of age. The first principal components (PC1s) indicated a weighed average of overall body measurements, accounting for 99.91% of the total variation for both periods of test. The two first PCs had positive coefficients for all body measurements. The major sources of PC, such as chest girth (CG), body length (BL), rump height (RH), and wither height (WH) were similar for both test periods. The heritabilities for PC1, the first factor score (FS1), and the second factor score (FS2) were estimated by multivariate REML method. The estimated heritabilities for PC1, FS1, and FS2 were 0.33, 0.38, and 0.40, respectively, at 12 months of age and 0.26, 0.76, and 0.58 at 24 months of age. Further studies are needed to determine whether the heritabilities of FS1 and FS2 at 24 months of age were overestimated.

• 한국의류학회지
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• 제17권1호
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• pp.119-128
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• 1993

This paper is to show the difference in body shape between 2 female groups; one group of 129 subjects is from 18 to 24 years old and the other group of 49 subjects from 25 to 29. Anthropometric somatotyping method by Heath-Carter and descriptive classification method by Sheldon are applied to classify somatotype. There is no difference in somatotype between 2 groups. The average somatotype is 443, which is the balanced type. By comparing the results of T-test, principal component analysis, and factor score, detailed differences in body shape between 2 groups are shown. The results of factor score for obesity factor of both groups are almost same and agree to somatotype results.

• Journal of Information Technology Applications and Management
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• 제27권6호
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• pp.75-87
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• 2020

The Human Resource (HR) system comprises of various interrelated HR practices that forms the bundles. These bundles of Human Resource practices impact the organizational performance. The hard and soft HR bundles are the two sets of the same continuum that describes the strategic approach of the HR system. The purpose of this study is to identify the hard and soft HRM practices from the literature and then empirically test them with the help of factor analysis. The study is conducted on the service industry employees in India. The survey includes the employees from the middle and top-level executives of the service firms. The sample size for the study is 160. Principal component analysis with VARIMAX rotation and Confirmatory Factor Analysis was used to obtain the results. The data analysis was done on SPSS V.20 and AMOS V.22. The results provide knowledge of the HR practices under the hard and soft HRM bundles implemented in the service industry.

• 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.

• Asian-Australasian Journal of Animal Sciences
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• 제24권4호
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• pp.449-456
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• 2011

Eighteen different biometric traits in 407 Kankrej cows from their breeding zone, i.e. Palanpur district of Gujarat, India, were recorded and analyzed by factor analysis to explain body conformation. The averages of body length, height at withers, height at shoulder, height at knee, heart girth, paunch girth, face length, face width, horn length, horn diameter, distance between horns, ear length, ear width, neck length, neck diameter, tail length with switch, tail length without switch and distance between hip bones were $123.44{\pm}0.37$, $124.49{\pm}0.28$, $94.68{\pm}0.30$, $38.2{\pm}0.14$, $162.56{\pm}0.56$, $178.95{\pm}0.70$, $44.09{\pm}0.10$, $15.91{\pm}0.05$, $42.47{\pm}0.53$, $26.07{\pm}0.19$, $13.34{\pm}0.08$, $31.24{\pm}0.12$, $16.10{\pm}0.05$, $50.63{\pm}0.18$, $73.21{\pm}0.32$, $111.62{\pm}0.53$, $89.34{\pm}0.34$ and $17.28{\pm}0.10\;cm$, respectively. The correlation coefficients between different traits ranged from -0.806 (horn diameter and distance between horns) to 0.815 (heart girth and paunch girth). Most of the correlations were positive and significant. Factor analysis with promax rotation with power 3 revealed three factors which explained about 66.02% of the total variation. Factor 1 described the cow body and explained 38.89% of total variation. The second factor described the front view/face of the cow and explained 19.68% of total variation. The third factor described the back of the cow and explained 7.44% of total variation. It was necessary to include some more variables for factor 3 to obtain a reliable estimate of the back view of the cow. The lower communities shown for distance between horns, horn diameter, ear width and neck diameter indicated that these traits did not contribute effectively to explaining body conformation and can be dropped from recording, whereas all other traits are important and needed to explain body conformation in Kankrej cows. The result suggests that principal component analysis (PCA) could be used in breeding programs with a drastic reduction in the number of biometric traits to be recorded to explain body conformation.