• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.1
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• pp.77-88
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• 2010

The purpose of this study is to evaluate the differences of visual effects by variations in the width of pleats and the length of the accordion pleats skirt. The stimuli are 21 samples: 7 variations of the width of pleats and 3 variations of the length of skirt. The data has been obtained from 43 fashion design majors. The data has been analyzed by Factor Analysis, Anova, Scheffe's Test and the MCA method. The results of the study are as follows: The visual effects by the number of pleats and the length of skirt are composed of 2 factors: verticality and thickness of lower body, shape of abdomen. In these factors, verticality and thickness of lower body factor is estimated by the most important factor. The accordion pleats skirt makes the lower body look longer when the width of the pleats is wider, and helps the calf and leg look thinner. Also, the waist looks more slender and thin. As the skirt gets longer, one looks taller, and legs look longer and thinner. The shape of abdomen is no difference according to the width of pleats. As the skirt gets longer, the waist looks more slender and thinner. The interaction of visual effect according to the changes in width of pleats and skirt length of accordion pleats skirt is not shown, and the skirt length has more effect than the width of pleats does in verticality and width of lower body factor. The width of pleats has more effect than the skirt length does in shape of abdomen factor.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.3 no.2
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• pp.110-116
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• 1970

The fresh_water shrimp, Palaemon modestua is one of the most important types of bait f[r fishing and can be found abundantly in the Nak-Dong River. The larval development of Palaemon modestua in the laboratory was reported by Liu (1949), Kown and Uno (1968), but they didn't give any ecological features in the natural environments. Shrimps were collected from the Nak-Dong River near Pusan, once a month from July to December 1953 and from February to June 1969 respectively. The following is a summary of the results: 1. They breed from April to September, mainly in July. 2. A generation of this type of shrimps appears to be approximately one year and after breeding they die off up untill the end of October. 3. The sex ratio (female=100) is $44.2\~95.5$ (mean 78.5) and goes down during spawning seasons. 4. The minimum size of the ovigerous female is approximately 0.5 gram in body weight, 29mm in body length and 7mm in carapace length. 5. Most shrimps of $31\~41mm$ In body length lay eggs. 6. The relationship between the boby length (X) and the number of eggs (Y) is: $$Y=0.0000203937X^{3.5668}$$ 7. The relationship between the body length (X) and the body weight (Y) is: $$Y=0.099801X^{2.85407}$$ in female. $$Y=0.004198X^{3.40614}$$ in Male. 8. The relationship between the carapace length (X) and the body weight (Y) is: $$Y=5.56008X^{2.25503}$$ in female. $$Y=5.09541X^{2.28875}$$ in male. 9. The relationship between the carapace length (X) and the body length (Y) is: Y= 5.07540+3.36057X in female. Y=4.90514+3.47791X in male.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.3 no.2
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• pp.93-102
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• 1970

1. On the basis of the samples collected on the eastern coast of Koje-Do from May to September, 1969, studies have been made on the growth and the relationships between the carapace length and the body length, and between the carapace length and the body weight of Penaeus japonicus Bate. 2. The mean carapace length of P. japonicus was 51mm in May, 57mm in June, 47mm in July and 50mm in September respectively. 3. As a result of the present studies two populations of P. japonicus exist in waters around Koje-Do, namely the spring and fall spawning populations. 4. The relationship between the carapace length ($\iota$) and the body length(L) and between the carapace length and the body weight (W) are indicated by the following equations: May $$L=2.6544{\iota}+3.1258$$ $$W=1.892{\iota}^{1.9844}$$ June $$L=2.8659{\iota}+2.1796$$ $$W=1.082{\iota}^{2.4323}$$ July $$L=2.5840{\iota}+3.3090$$ $$W=1.290{\iota}^{2.3094}$$ September $$L=2.4234{\iota}+4.5775$$ $$W=1.599{\iota}^{2.1857}$$ 5. With regard to the relationships between the carapace length and the body length and between the carapace length and the body weight there is no significant difference between the populations spawning in June and September. 6. The relationships between the carapace length ($\iota$) and the body length (L) and between the carapace length and the body weight (W) for the samples cultured at three different localities are indicated by the following equations: Koje-do $$L=3.7738{\iota}+0.0805\;(r=0.934)$$ $$W=0.4690{\iota}^{3.0713}$$ Oma-do $$L=2.993{\iota}+1.6455\;(r=0.990)$$ $$W=0.6328{\iota}^{2.6579}$$ Kumdang-do $$L=3.2749{\iota}+0.9055\;(r=0.983)$$ $$W=0.5768{\iota}^{2.8076}$$ 7. During the larval stages the relationship between the body length (L) and the rearing day (D) is indicated by the following equations: Zoeal stages (1-3) L=0.1279D+0.2686 (r=0.979) Mysis (1) - Post larva (6) L=0.1697D+0.5634 (r=0.994) Post-larvs (7) - Post larvs (21) L=0.1344D+1.9501 (r=0.978)

• Asian-Australasian Journal of Animal Sciences
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• v.24 no.4
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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.

• Journal of the Korean Society of Costume
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• v.50 no.5
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• pp.117-130
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• 2000

The purpose of this thesis is to offer basic data for clothing design which is intended to apply appropriate shape and capacity to clothes. The following are the analyzed results of an investigation which was conducted to characterize the upper half of the female body of 193 women whose ages are 18 to 25, taking part in this investigation. According to the results of analyzing young women's bust, I came to find a large individual difference of the wide varying factor numbers at the items of the side feature, the body stance, and the dart quantity. For the analysis of the female's upper body, 11 factors are used. The are as follows: Factor 1. width of the bust Factor 2. height of the bust and length of the arm Factor 3. side thickness of the bust and the upside type Factor 4. length of the bust on the front Factor 5. length of the bust on the back Factor 6. salient ratio of the breast Factor 7. width of the neck. the armhole, and measurement of the droop Factor 8. length of the shoulder Factor 9. flat ratio of the bust Factor 10. inclination of the shoulder factor 11. form of the back The shape of young women's upper bodies can be divided into four groups. The character ization of each group are as follows : Group 1 . 28.5% of the women who take part in this investigation belong to Group 1 These women have the shortest body, with a longer length of the front than the back and more thickness on the front than the back. Group 2. 21.1% of the women who take part in this investigation belong to this group. They show a longer length of the back and more thickness of the back than the front. In addition, this group is bent forward. Group 3. This group is the mast common type, showing the shortest and thickest character. 37.8% of the women who take part in this investigation have this bust character Group 4. 12.4% of the women belong to Group 4. They possess the highest and fattest character, skewing smaller necks, armholes, and waists than the other groups. This group also shows the drooping shoulders.

• Fashion & Textile Research Journal
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• v.22 no.1
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• pp.87-93
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• 2020

This study provide basic data to develop a dress form reflecting body shape characteristics by age and to produce a 3D body form in a virtual fitting program. A comparative analysis was conducted on the size, section shape, and slope of side shape of the modeling form by the sizing of the basic female avatar in CLO 3D, one of the 3D apparel CAD programs and the body form of women in their 20s-50s by body shape in the 6th Size Korea (2010). First, all the differences were formed similarly in the direct measurements between the 3D avatar and the body form were within 1 mm. Second, in a comparison of the section form of the avatar and body form in Size Korea, the avatar was formed in straight body shape and did not reflect a spinal curvature according to age. As a result of an examination of the items with a difference over 5° in the slope of side shape, there were angle differences in numerous body shapes in the angles of the side upper abdomen, side upper back, and side upper bust, and the avatar's bust shape was expressed more flatly compared to body form. It will be possible to produce an avatar that can adequately reflect body shape characteristics by adding detailed length and angle items by the region like waist back length and front length in producing the avatar reflecting body shape characteristics, instead of a standard body shape.

• Journal of Fashion Business
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• v.16 no.1
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• pp.150-159
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• 2012

This study intend to analyze differences between 3D body scanning sizes and direct measurement sizes of same subjects. The subjects of study are female students of university in China. 3D data analyze as a 3D Body Measurement Soft System. The conclusion found is as below: In case of circumferences, error between direct-measurement size and 3D body scanning size is from 4.9mm to 62.2mm. The neck circumference size of directmeasurement is bigger than 3D body scanning size. The height error range is from 0.6mm to 51mm. Height of underbust, waist and hip are that direct-measurement sizes are higher than 3D body scanning sizes. Gap of width is from 3.8mm to 21.9mm. The gap range is too narrow relatively to others. Only direct-measurement size of neck width is wider than 3D body scanning size. Error range of length is from 0.3mm to 41.8mm. 3D body scanning sizes of lateral neck to waistline, upperarm length, arm length, neck shoulder point to breast point, shoulder center point to breast point, lateral shoulder to breast point are longer than direct-measurement sizes. They have a negative margin of error. I intend to set up same measurement point between direct-measurement and 3D body scanning but they have some errors because direct-measurement point is applied by a person. 3D body scanning measurement point is settled by automatic system. A measurement point of direct-measurement and 3D body scanning isn't unite. So we need to make a standard of setting up measurement points.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.97-105
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• 2018

The purpose of this study was to analyze the measurement data of 13 ~ 18 year old male students and to characterize the body shape of the lower body, Through this, I tried to provide basic data for the production of pants for adolescent men's students. As a result of analyzing the body shape factor of the lower half, two factors were classified. 'Vertical factor' of the lower body composed of the circumference, thickness, and width, and the 'horizontal factor' of the lower body composed of the length and height. The body shape of the lower half was classified into four categories according to the circumference and length of the lower half of the male students, such as 'short bird legs', 'long crane legs', 'short pillar' and 'long pillar'. In the study of Hong Eun-hee (2005), body type was classified according to horizontal factor and vertical factor like this study. By age, boys aged 13 to 14 can see that the lower body is thin and short, the lower body is thin and long body is 15-16 years old, and the lower body is relatively thick and long body is 17-18 years old. As the age increases, the growth in the vertical direction occurs first and the growth in the horizontal direction occurs. It is thought that it is necessary to set a different amount of allowance for setting the length and the circumference according to the age of the youth. When the age is young, the amount of allowance in the circumferential direction should be increased, and the amount of allowance in the longitudinal direction after 15 years of age should be increased more than other age groups.

• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.118-127
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• 2014

This study proposed a revision of standard sizing system for infant clothing to provide exact information for consumers and manufacturers. The size designation was set up by compensating the defect of existing system. Basic body measurement and reference body measurement were analysed according to size designation. The ages of the infants ranged from 0 to 36 month in accordance with safety standard of KC Self-Regularity Safety Confirmation. The results are as follows: Size designation for infant clothing was based on height that was basic body measurement. Chest girth, waist girth, head girth, arm length, foot length and weight were also analysed according to age of the month. It was proposed that height could be written alone and height with age of month did together for size designation. Size intervals of basic and reference body measurements were fixed as follows: size intervals are 5 cm in height, 2 cm in chest girth, 2 cm in waist girth, 1 cm in head girth, 2 cm in arm length, 0.5 cm in foot length and 2 kg in weight. The distributions of height and chest girth showed normal distributions. As height was taller, chest girth was also bigger. But the distribution of waist girth didn't show remarkable change with age of month. The distributions of arm length and weight showed remarkable difference with growth in 0~9 months, but the amount of growth variation got less in 12~18 months.

• Korean Journal of Community Nutrition
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• v.16 no.1
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• pp.113-125
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• 2011

This study was conducted to compare the body image perception, weight control experiences and the eating disorders according to where they were born, and the length of residence in USA among Korean-American college students. Three hundred college students participated in the study: 144 males and 156 females, 122 America-born (AB) and 171 Korea-born (KB) who live in New York City and New Jersey. Subjects responded to a self-administered questionnaire. The results showed that the ratio of overweight (23.2%) and obesity (26.8%) of males was higher than females'(16.1% and 6.3%, respectively). There were no significant differences according to born-place or the length of residence in USA of KB. People who had tried to control their weight were 58%. The ratio of weight control experiences of females (72.4%) was higher than males' (42.4%) as well as people who were normal or underweight than who were overweight or obesity. There were no significant differences according to born-place or the length of the residence in the USA of KB. In body image perception, the subjects who were normal and underweight overestimated their body figure, and the subjects who were overweight and obese underestimated their body figure. The desired and ideal figure of female students was significantly thinner than the current figure and also that of male students. There were no significant differences according to born-place or the length of the residence in USA of KB. The ratio of eating disorder was 8.7%, and females had higher percentage than males. And shorter they lived in USA, the percentage of eating disorder was higher.