• Journal of Korean Society of Forest Science
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• v.76 no.4
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• pp.338-347
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• 1987

The research was carried out to investigate the related phenomena, the latent structures and synthetical characteristics in various growth factors of Phyllostachys bambusoides Sieb. et Zucc. growing at Damyang gun, Chollanamdo, using multivariate analysis. 1. By synthetical characteristics in canonical correlation between height-growth factor group and diameter-growth factor group, the former was determined by the culm height ($x_1$), and the latter by the. diameter of the largest internode($x_7$). And for those between quantitative growth factor group and qualitative growth factor group, the former was determined by the surface area($x_{10}$), and the latter by the diameter of the largest internode ($x_7$). 2. The ten growth factors of bamboo culm were simplified by two principal components on the basis of accumulated proportion aimed at 90%. The first principal component($Z_1$) as a "size factor" showed high correlation with growth factors except eye-height diameter($x_5$). The second principal component($Z_2$) as a "shape factor" showed high correlation only with $x_5$. 3. The bamboo culm, and the latent phenomenon between their growth factors could be determined by two common factors showing high communality(94.16%). The ten growth factors can be grouped into two attribute factors: quantity and quality. 4. The bamboo culms can be classified into five types: total, volume, shape-quality, inferior and middle.

• 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 Fashion Business
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• v.5 no.3
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• pp.73-84
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• 2001

The purpose of this study is to apply fundamental data of impression formation research by analysing and observing the various facial image that can be effected from hair style as well as be helpful for choosing suitable hair style for T.P.O in modern society. This study targeted 305 college women in Daegu and Gyung-book area. Hair Style Image Scale(HSIS)was used the scale of seven point modified the S-D(Semantic Differential) method. The analysis of impression formation effect of hair style using SPSS WIN package have completed from the principal component analysis by Varimax perpendicular rotation method and ANOVA was used to recognize the difference in impression formation according to hair style change. In the case of statistical difference was appeared, LSD post-verification was applied for that. The conclusions of this study is as followed ; 1. The factors of impression formation effected by hair style were classified as goodwill factor, refinement factor, elegance factor and individuality factor. 2. In terms of goodwill factor, long hair style showed highest level and short cut hair, bobbed hair in an order. In refinement factor, there was no difference between short cut hair and bobbed hair and both of them was higher than long hair. In elegance factor, long hair was highest and bobbed hair was lowest. In individuality factor, short cut hair and bobbed hair higher than long hair and no difference between short cut hair and bobbed hair.

• Journal of information and communication convergence engineering
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• v.15 no.3
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• pp.165-169
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• 2017

Altmetrics is an emergent research area whereby social media is applied as a source of metrics to evaluate scientific impact. Recently, the interest in altmetrics has been growing. Traditional scientific impact evaluation indictors are based on the number of publications, citation counts and peer reviews of a researcher. As research publications were increasingly placed online, usage metrics as well as webometrics appeared. This paper explores the potential benefits of altmetrics and the deep relationship between each metrics. Firstly, we found a weak-to-medium correlation among the 11 altmetrics and visualized such correlation. Secondly, we conducted principal component analysis and exploratory factor analysis on altmetrics of social media, divided the 11 altmetrics into four feature sets, confirming the dispersion and relative concentration of altmetrics groups and developed the altmetrics evaluation model. We can use this model to evaluate the scientific impact of articles on social media.

• Korean Parent-Child Health Journal
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• v.7 no.2
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• pp.111-120
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• 2004

Purpose: This study was done to test the validity and reliability of the MMDQ for middle school students. Method: A convenience sample of 318 middle school students were asked to complete the MMDQ which consisted of 37 items and data were collected from May to June, 2004. Result: 1. Six factors for MMDQ (except insomnia, finally 36 items) were extracted through the principal component analysis with varimax rotation, and these contributed 56.7% of the variance in the total score. All 36 items in the scale loaded above .37 on one of 6 factors. 2. Factor 1 has 7 items, factor 2 has 9 items, factor 3 has 8 items, factor 4 has 5 items, factor 5 has 4 items, and factor 6 has 3 items. 3. Cronbach's alpha coefficient for internal consistency of MMDQ was .946 for the total 37 items and .88, .86, .88, .81, .70, .61 for the six factors in that order. Conclusion: MMDQ was identified its adequacy as PMS measurement tool for middle aged students in Korea. In further study, these factors would be confirmed across different samples and across different methods of data collection.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.218-227
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• 1996

The purpose of this study was performed to analyze the trend of bodytype change of adult males. Subjects were 1290 Korean adult males and their age range was from 19 to 54 year, ; old. 75 variables(66 variables from the direct anthropometric data and 9 variables from the multiplication method) in total were applied to analyze. The principal component analysis was applied to the data with orthogonal rotation after extraction of major factors. The high factor loading items extracted by factor analysis were analyzed for the trend of bodytype change by the age group respectively. The result of factor analysis indicated that the first factor was composed with about 30 items, girth, depth and width-measures in 4 age groups and was analysed as form factors. Especially, age-related change was caused by increase of waist girth, depth and width. The second factor was composed with about 23 items, length and height-measures in all age groups. Stature has a constant factor loading value in 4 groups. Front and back waist-height and the navel-height have the highest factor loading value. The third, fourth and fifth factors were composed with different variables among the age groups.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.29-35
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• 2010

This paper discusses a method that can enhance the exactness of depth estimation of an image by PCA(Principle Component Analysis) based on feature reduction through learning algorithm. In estimation of the depth of an image, hyphen such as energy of pixels and gradient of them are found, those selves and their relationship are used for depth estimation. In such a case, many features are obtained by various filter operations. If all of the obtained features are equally used without considering their contribution for depth estimation, The efficiency of depth estimation goes down. This paper proposes a method that can enhance the exactness of depth estimation of an image and its processing speed is considered as the contribution factor through PCA. The experiment shows that the proposed method(30% of an feature vector) is more exact(average 0.4%, maximum 2.5%) than using all of an image data in depth estimation.

• Animal cells and systems
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• v.8 no.4
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• pp.301-306
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• 2004

Anxiety in mice can be measured by behavioral reactivity to social or non-social stressors. These behaviors were compared by performing the resident-intruder test (social) as well as the light-dark transition and open-field tests (non-social) for the FVB, C57BL/6, and BALB/c lines of mouse. The three inbred lines showed significant differences in their responses to intruder mice. Three factors, accounting for about 68% of the total variance, were extracted from the scores obtained from the three behavioral tests. The first two major factors are primarily associated with the anxiety-related behaviors. One includes anxiety behaviors with a locomotive basis, while the other includes defecation measured in both anxiety tests. The third factor explains the three social behaviors, facial investigation, ano-genital investigation, and following, observed in the resident intruder test, although facial investigation is also moderately associated with the second factor. The results indicate that the behavioral responses to an intruder share a component distinct from anxiety-related behaviors.

• Journal of Korean Society on Water Environment
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• v.39 no.4
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• pp.288-301
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• 2023

This study aims to identify benthic macroinvertebrate fauna inhabiting at the mountain valley stream (Mt. Cheonggye) in Korea and the relationship between physical environmental factors and biological indices. Benthic macroinvertebrates were collected at five locations on August 24 and October 14, 2020, and were identified as 4 phyla, 7 classes, 16 orders, 42 families, and 72 species. Dominance ranged from 0.38 to 0.59, diversity 2.81 to 3.75, richness 3.25 to 4.63, evenness 0.65 to 0.84, and %EPT (Ephemeroptera-PlecopteraTrichoptera) richness value 42% to 73%, respectively. All sites were evaluated as a very good status by mostly biological indices based on tolerance of indicator organisms in Korea. As a result of principal component analysis, biological indices are classified into species-level indices and higher cartegory-level indices according to the taxonomic level of the indicator organism considered in each index. As a result of canonical correspondence analysis, it was confirmed that current velocity was a major factor that increased species richness and classified biological indices according to taxonomic category level. Water depth was a major factor related to the community indices, and the deeper the water depth, the lower the diversity and the evenness.

• Korean Journal of Human Ecology
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• v.6 no.2
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• pp.145-155
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• 1997

The purpose of this study is to analyze the body type of children's, especially torso, and to provide the fundamental data for children's clothing construction which can reflect the characteristics of their bodies. The subjects for photographic measurements are 308 elementary school children aged from 6 to 8 living in Seoul and urban area. Anthropometric measurements were performed indirectly from the pictures of subjects. The data were analyzed statistically using SPSSWIN. The results obtained from this study are as follows: 1. Through one-way ANOVA, items for heights, breaths, weight reveals the significant differences according to ages and genders. 2. Through Pearson correlation, it turns out that there are high correlation between any items of heights, but there is no correlation for item of shoulder inclination with any other items. 3. Through factor analysis of principal component model, six factors were extracted which covers 83.6% of the whole information. The first factor represents the items of heights which relates with linearity. The second factor describes the items of breaths, depths, and weight in relation with laterality. The third factor were gathered with depths of front and back in relation with posture of side, which proves as important one to characterize the children's torso. The other factors represents the items of posture of neck, depths in neck, shoulder inclination, respectively. 4. Through one-way ANOVA in factor by group, and Scheffe multi comparison test for each group, the factor 1 that is related with linearity reveals the significant differences according to ages and genders.