• Journal of Korean Public Health Nursing
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• v.18 no.2
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• pp.299-311
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• 2004

Purpose: Somatotype drawing developed by Sorensen et al.(1983) has been evaluated as a simple instrument of obesity level without real somatic measuring as height and weight. This study was designed to validate somatotype drawings for obesity assessment by bioelectrical impedance body component analysis. Method: At first questionnaire of somatotype drawing was done. Subjects were measured body component by bioelectrical impedance analysis as weight, BMI(body mass index), WHR(waist-hip ratio), body water, protein mass, mineral mass, body fat mass, skeletal muscle mass, soft lean mass, fat free mass and percent body fat. We evaluated correlations between these data and somatotype drawings and tried to grouping of somatotype drawings with the means of major body component value. Result: The data were collected from 205 college women whose height and weight were $161.2\pm4.8,\;55\pm8.3$. Spearman's correlation coefficients of somatotype drawing were 0.74 with BMI, 0.68 with weight 0.69 with body fat mass, 0.65 with WHR. 0.64 with percent body fat after adiusted age. The grade of somatotype drawings were grouped as 1-2, 3-4, 5-6. 7-9 by BMI, body fat mass, weight, 1, 2-4, 5-6, 7-9 by WHR and 1-2, 3-4, 5-9 by percent body fat(ANOVA and Duncan's method). Conclusion: So quick instrument using somatotype drawings were useful tools for evaluation of obesity level and is applicable to screen degree of body fat in self-administered questionnaire survey.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.3
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• pp.311-317
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• 2015

Phenotypic characterization and body biometric in 13 traits (height at withers, body length, chest girth, paunch girth, ear length, tail length, length of tail up to switch, face length, face width, horn length, circumference of horn at base, distances between pin bone and hip bone) were recorded in 233 adult Gojri buffaloes from Punjab and Himachal Pradesh states of India. Traits were analysed by using varimax rotated principal component analysis (PCA) with Kaiser Normalization to explain body conformation. PCA revealed four components which explained about 70.9% of the total variation. First component described the general body conformation and explained 31.5% of total variation. It was represented by significant positive high loading of height at wither, body length, heart girth, face length and face width. The communality ranged from 0.83 (hip bone distance) to 0.45 (horn length) and unique factors ranged from 0.16 to 0.55 for all these 13 different biometric traits. Present study suggests that first principal component can be used in the evaluation and comparison of body conformation in buffaloes and thus provides an opportunity to distinguish between early and late maturing to adult, based on a small group of biometric traits to explain body conformation in adult buffaloes.

• Journal of the Korean Society of Clothing and Textiles
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• v.14 no.3 s.35
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• pp.208-215
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• 1990

The purpose of this study is to provide the fundamental data of a dummy design for more suitable ready made clothing by making a pattern of somatic types and analyzing their morphological characteristics in accordance with different pattern of somatic types. The side view silhouettes of 90 junior high school girls of age $13\~16$ in seoul urban area were measured by means of the plan photographing and the low data were examined by principal component analysis, while the principal component analysis was applied and three components were extracted and then interpreted to explain to variation of the form of the body. Using three components respectively the cluster analysis was carried out and the subject classified into 4 cluster The following outcomes are obtained. . The results of principal component analysis of this study would be turned out the three; 1) The first principal component shows the degree of erectness or stoop of the figure. 2) The second principal component was a stature length or a growth rate. 3) The third principal component was the obesity component. 2. The results of cluster analysis by using three principal component analysis would be turned out the four cluser; 1) Cluster 1 ($29\%$ of the total) is characterized with lower stature. 2) Cluster 2 ($21\%$ of the total) is characterized with backward somatotype, and the highest leg. 3) Cluster 3 ($23\%$ of the total) is thicked back of neck. 4) Cluster 4 ($27\%$ of the total) is characterized with forward somatotype, and highest stature, height.

• Proceedings of the ESK Conference
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• 1996.10a
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• pp.225-231
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• 1996

The purpose of this study is providing basic information to make torso and original design of clothing of the old. Grasping the body of the old was advanced and made specific types. The objects of this study are 320 people whose age is 60 .approx. 85 and we extracted forming factors of a body by factor analysis about 57 items and we made types of a body by cluster analysis. 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 data are able to be decided into appropriate group

• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.80-85
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• 2010

The purpose of this study was to examine the characteristics of armscye circumference which will be used to develop total contents for the apparel industry. The subjects of this study were 16- to 49-year-old women whose 3D body shape data were analyzed. 72 length and length-ratio measurements were taken to each subject' armscye circumference. The used analysis methods are descriptive statistics, principal component analysis, and cluster analysis. The results are follows; 1. Considering the Length of armscye circumference, the result of principal component analysis were extracted 3 factors and those factors comprised 95% of total variance. As the result of the cluster analysis of factor scores, subjects were classified into 4 cluster by their size characteristic. 2. Considering the length-ratio of armscye circumference, the result of principal component analysis were extracted 5 factors and those factors comprised 96.45% of total variance. As the result of the cluster analysis of factor scores, subjects were classified into 5 cluster by their shape characteristic. So that, this research could be useful to manufacture garment which reflected 3D body figure and improved fitting.

• Journal of Energy Engineering
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• v.24 no.3
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• pp.128-134
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• 2015

This research is that analyze multi-body system that have flexible and rigid body. Transfer robots are widely used mainly in automobile industry owing to its capability to handle heavy parts with high speed in wide range of movement. For the transfer robots to widen the application area, a new three-axis mechanism with heavy payload has been recently developed in consideration of the strength and stiffness. For the purpose, transient dynamic analysis is carried out to find the component position yielding a certain time. Though this research, we can analysis stress distribution and deformation of robot component.

• Korean Journal of Computational Design and Engineering
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• v.14 no.6
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• pp.364-373
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• 2009

In this paper, we suggest the method for constructing parameterized human body model which has any required body sizes from 3D scan data. Because of well developed 3D scan technology, we can get more detailed human body model data which allow to generate precise human model. In this field, there are a lot of research is performed with 3D scan data. But previous researches have some limitations to make human body model. They need too much time to perform hole-filling process or calculate parameterization of model. Even more they missed out verification process. To solve these problems, we used several methods. We first choose proper 125 3D scan data from 5th Korean body size survey of Size Korea according to age, height and weight. We also did post process, feature point setting, RBF interpolation and align, to parameterize human model. Then principal component analysis is adapted to the result of post processed data to obtain dominant shape parameters. These steps allow to reduce process time without loss of accuracy. Finally, we compare these results and statistical data of Size Korea to verify our parameterized human model.

• Fashion & Textile Research Journal
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• v.19 no.5
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• pp.608-619
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• 2017

In this research, we analyze jackets from the Paris Haute Couture Collection from 2000 S/S~2015 F/W to investigate how shape, tailoring component, and design of jackets have changed. Our analysis of 2,493 jackets from the collection shows that the hour-glass silhouette was the most popular among silhouettes and that standard-length was the most popular jacket length. Such jacket shape expresses the natural beauty of human body. Regarding Tailoring Components, our analysis shows that tight sleeve and natural shoulder line, which is neither too wide, padded, nor low, were prevalent. The analysis also shows that tailored collar and button closure were the most common. Tight sleeve and natural shoulder line, which fit the body outline, allow the silhouette to show natural curves of the human body. As for jacket design, popular colors differed by season, but single-colored jackets prevailed, and woven was the most used material. Since 2000, the most favored form of jacket in women's fashion was a standard-length jacket with an hour-glass silhouette, tight sleeve, natural shoulder line, and tailored collar. This suggests that jackets emphasizing natural curves of the body were favored. Overall, silhouette, length, sleeve, and shoulder line remained consistent while collar and closure varied. This indicates that collar and closure method play a significant role in changes in fashion. Seasonally, elements of shape, tailoring component, and design coexist, but once the shape is determined, the tailoring component and design change in relation to each other.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.874-880
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• 2003

Many mechanical systems are over-constrained if only rigid bodies are used to model the system. One example of such system is a satellite system with solar panels. To avoid this over-constrained problem, solar panels can be modeled as flexible bodies. The CMS(Component Mode Synthesis) method is widely used to analyze the flexible multi-body system because it can considerably approximate the deformation of the flexible bodies using small number of well-selected mode. However, it is very difficult to decide the boundary condition and the selection of modes. In this paper, the methods for mode synthesis and setting the boundary condition are presented to analyze the flexible multi-body system with over-constraints. Finally, the reliability of proposed method is verified by solar panel's deployment test.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.10 no.2
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• pp.73-82
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• 2004

Objectives : In order to develop the measuring tool of visual display terminal (VDT) syndrome and investigate the variables affecting the development of VDT syndrome. Methods : A questionnaire study accompanied with the evaluation of working environment was performed with 42 VDT users from banking operations. Results : As a results of analysis with data colleted by newly developed questionnaire, VDT syndrome included five factors named as eye-related component, and psychological component. general body discomfort component. musculoskeletal component, and skin-related component. The scores of eye-related symptoms was 15.17, scores of psychological symptoms was 7.36, scores of general body discomfort symptoms was 10.52, scores of musculoskeletal symptoms was 9.38, scores of skin-related symptoms was 3.67, and total scores was 46.10. Scores of 2.05 eye fatigue in the level of eye-related symptoms were higher significantly. Scores 50.52 of female was statistically higher than scores 41.67 of male. Conclusions : The subjective symptoms of VDT syndrome scores was significantly associated with gender and age.