• Title/Summary/Keyword: Industry cluster

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Estimation of Pollutants Residence Time During the Flood and Dry Season in Gwangyang Bay (광양만의 홍수기 및 갈수기의 오염물질 체류시간 산정)

  • Lee, In-Cheol;Kim, Jin-Hyuk;Kong, Hwa-Hun
    • Journal of Ocean Engineering and Technology
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    • v.22 no.6
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    • pp.20-26
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    • 2008
  • In this paper, in order to set up the management system of water quality environment in Gwangyang Bay, the cluster analysis of water quality environment, the estimation of inflowing pollutant loads and residence time of pollutants in this bay was carried out. The Gwangyang Bay was divided into eight sea areas by cluster analysis and spatio-temporal change of water quality. The river discharges in the Bay were calculated about $11,681{\times}103m^3/day$ from the numerical simulation by Tank model. In addition, inflowing pollutant loads of COD, SS, TN, TP, DIN and DIP in Gwangyang Bay were estimated at 398 ton-COD/day, 2,846 ton-SS/day, 195 ton-TN/day, 5 ton-TP/day, 126 ton-DIN/day and 3 ton-DIP/day, respectively. Moreover, residence times of COD, TN and TP in the Bay was estimated at 6 days-COD, 20 days-TN and 195 days-TP, respectively in the dry season, and 3 days-COD, 6 days-TN and 21 days- TP, respectively, in the flood season. The central part of Gwangyang Bay (Region IV) has the longest residence time of overall pollutants.

Benefits Sought and Knitwear Purchasing Behavior of Female College Students in the U.S. (미국 여대생의 의복 추구 혜택과 니트웨어 구매 행동)

  • Lee, Ok Hee
    • The Research Journal of the Costume Culture
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    • v.14 no.4
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    • pp.542-555
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    • 2006
  • The main objective of this study was to investigate the relationship between benefits segmentation and knitwear purchasing behavior of college female students in the U.S. The questionnaires for this survey were developed to measure knitwear purchasing behavior and benefits segmentation. The questionnaire was administered to 119 female college students in the University of California. The data was analyzed by percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The female college students in the U.S. were classified into fourth subdivisions by the cluster analysis. In the case of fashion information sources of knit wear, significant differences were found according to benefits sought subdivision in observation of famous people's clothing, fashion articles in magazines and newspapers, TV advertisements, Newspaper advertisements, advice of salespeople, and Catalogs. The evaluation criteria of knit wear product of consumers were significantly different depending on benefits sought subdivision in design/style, quality of construction, fashionable, brand and store name, pleasing to others, prestige, and sexy. The store attributes of knitwear product of consumers were significantly different depending on benefits sought subdivision in friendliness of sales personnel, product knowledge of sales personnel, brand names, new fashion, and variety of products. The outlook for the industry of knitwear look to remain bright, there should be a continuous effort to research and invest in consumer satisfaction of knitwear.

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A Study on the Relationship between Sasang Constitution and Clothing Value (사상체질과 의복가치관의 연구)

  • 정옥임
    • Journal of the Korean Society of Costume
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    • v.27
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    • pp.87-101
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    • 1996
  • The purpose of this study is to grasp the re-lationship between Sasang constitution of the disposition side and clothing value in grown-up women in order to apply Sasang consti-tution theory to the marketing strategy in clothing industry. The study is based on a questionnaie about Sasang constitution and clothing value. The questionnarie was answered by 519 women. The data ere collected from September 12 to September 30, 1994 and analyzed by cluster analysis correlation analysis ANOVA and fac-tor analysis using SAS. The Findings of this study are as follows: 1. The women were classfied in to 3 clusters by cluster analysis :Sp-Yaung-In type (30.8%) Tae-Em-In type (40.7%) So-em-in(28.5%). 2. Correlations between SO-Yaug In type and each of clothing values showed all signifi-cant and specially social value showed high corelation(0.57163) 3. In Tae-Em-In type all correlations showed significant and esocial value showed the highest correlation of all correlations. 4. In So-Em-In type there was no corre-lation inpolitical value and the order of cloth-ing values showing high correlation was theor-etical social economic and religious value. 5. The aesthetic valu among and consti-tution types showed the lowest correlation of all correlation. By means of the about study results we may know that all women belong to three types think social value of the more important value than any other in clothing value. This is because grown-up women in korea prefer yet clothing of the harmonic and similar type to this of individual type.

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A Study on Appearance Management Behavior of Male Consumers(II) -Examination Appearance Management Motives and Body Image Perception between the Groups According to Appearance Management Behavior- (남성들의 외모관리행동에 관한 연구(II) -외모관리행동 집단 간 외모관리동기 및 신체이미지 비교-)

  • Ku, Yang-Suk;Lee, Young-Ju;Choo, Tae-Gue
    • Fashion & Textile Research Journal
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    • v.13 no.1
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    • pp.91-99
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    • 2011
  • The purpose of this study was to examine the appearance management motives and body image perception according to males' appearance management behavior. A set of questionnaire was administered to 398 male consumers. Data were analyzed by utilizing frequency, factor analysis, ANONA, cluster analysis, and crosstabs. Factor analysis of body image perception extracted four factors such as appearance concern, appearance satisfaction, exercise ability, and weight control. Four groups of the appearance management behavior were classified into such as health oriented, active figure management, indifference to personal appearance, and fashion/skin care by cluster analysis. All groups pursued sociality in appearance management motives. The active figure management group showed highest concern about in all the appearance management motives and body image perception.

A Longitudinal study on Fashion Lifestyle Variable of Global Consumer - Comparison among US, China and EU - (글로벌 소비자의 패션 라이프스타일 변화에 대한 종적연구 - 미국, 중국, EU 소비자를 대상으로 -)

  • Ko, Eun-Ju;Jang, Jung-Hyun
    • Journal of Fashion Business
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    • v.16 no.1
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    • pp.26-40
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    • 2012
  • The purpose of this study is to examine the fashion lifestyle variable of global consumers and to compare among US, Chinese and EU consumers. The data were collected in US(n=749), China(n=702) and EU(n=1083) from 2008 to 2010. For analysis, factor analysis, reliability analysis, K-means cluster analysis and chi-square analysis of SPSS 18.0 are used. The research results are as follow: First, it is shown that significant lifestyle factors of global fashion consumers are "adventure seeking", "fashion-oriented", "conspicuous consumption", "leadership", "brand-oriented", and "DIY". As a result of the cluster analysis of lifestyle types, four cross-national market segments are identified. These segments can be labeled as follows: "conservative fashion-oriented group", "passive consumer group", "neutral consumer group", "active fashion-oriented group". Second, findings also reveal that fashion lifestyle segments had meaningful differences between nationality and by year. Third, the US consumers tended to have conservative fashion-oriented lifestyle in 2008, however global consumers were changed to have active fashion lifestyle in 2010. This research will be useful to global brands in planning marketing strategies by offering specific information for global consumer fashion lifestyle.

Large Eddy Simulation of Turbulent Flow around a Ship Model Using Message Passing Interface (병렬계산기법을 이용한 선체주위 점성유동장의 LES해석)

  • Choi, Hee-Jong;Yoon, Hyun-Sik;Chun, Ho-Hwan;Kang, Dae-Hwan;Park, Jong-Chun
    • Journal of Ocean Engineering and Technology
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    • v.20 no.4 s.71
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    • pp.76-82
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    • 2006
  • The large-eddy simulation(LES) technique, based an a message passing interface method(MPI), was applied to investigate the turbulent flaw phenomena around a ship. The Smagorinski model was used in the present LES simulation to simulate the turbulent flaw around a ship. The SPMD(sidsngle program multiple data) technique was used for parallelization of the program using MPI. All computations were performed an a 24-node PC cluster parallel machine, composed of 2.6 GHz CPU, which had been installed in the Advanced Ship Engineering Research Center(ASERC). Numerical simulations were performed for the Wigley hull, and the Series 60 hull(CB=0.6) using 1/4-, 1/2-, 1- and 2-million grid systems and the computational results had been compared to the experimental ones.

A Study on the Upper Body Shapes of Late Elementary Schoolgirls (학령후기 여아의 상반신 체형 연구)

  • Jang, Jeong-Ah
    • Fashion & Textile Research Journal
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    • v.8 no.1
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    • pp.107-112
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    • 2006
  • This study is done to classify the upper body shapes for late elementary schoolgirls. The sampling was done for 11~12 years-old-girls resident in Busan and Kyungnam. Based on the somatometric charateristics of them, 33 anthropometic and 7 photogrphic measurment data were acquired from every girl. These data are statistically analyzed with the following methods; Factor Analysis, Cluster Analysis, and Discriminant Analysis. Resulting from the factor analysis, it is shown that 79.95% of the whole variances can be explained with 8 factors. Through the cluster analysis, 3 types of upper body shapes can be categorized as follows: Type I has average horizontal size, big vertical size and lots of protruded chest ; Type III has big horizontal size, the mean vertical size, and big upper angle of the back ; Type II has small horizontal and vertical size and long surface length of the upper body. Through the discriminant analysis, the high discriminative items in discriminant function are follows: Upper chest circumference, arm length and waist front length of discriminant function I and waist depth, front length, back breadth, nipple to nipple breadth and upper chest circumference of discriminant function II have large coefficient values.

The Study on the Somatotype and Spinal Deformity among Middle and High School Girls (중·고 여학생의 체형분류 및 척추변형에 관한 연구)

  • Lee, Hea-Ju;Ham, Ok-Song
    • Fashion & Textile Research Journal
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    • v.1 no.2
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    • pp.137-147
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    • 1999
  • The purpose of this study was to classify female students' somatotypes, to investigate the relationship between five somatotypes obtained from anthropometric measurements and to examine the relationship between the spinal deformity and somatotypes. The subjects for anthropometric measurements were 844 female middle and high school students. The data were analyzed by cluster analysis, correspondence analysis, Duncan test, and T-test. The results were as follows. Cluster analysis on the factors extracted from directly measured items classified subjects into five types (middle height and a little slim type (39.6%), low height and a little slim type (13.1%), middle height and a little fat type (18.0%), tall and very fat type (7.7%), and very tall and standard type (21.6%). In examining the relationship between the normal people and those of the spinal deformity, the normal showed higher mean value in almost all the items of the girth, the depth, and the length. High school students had more spinal deformity in number than middle school students. The degree of deformity was higher in the right spinal deformity than in the left spinal deformity as the age increased. In terms of the distribution of the spinal deformity classified by the somatotype, Type 1 (middle height and a little slim type) and Type 5 (very tall and standard type) appeared the highest.

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Classification of Elderly Men's Sole from the 2D Scanning Method

  • Kim, Nam Soon;Do, Wol Hee
    • Fashion & Textile Research Journal
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    • v.15 no.3
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    • pp.414-422
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    • 2013
  • This study identifies the foot shapes of elderly men by classifying foot types according to the shapes of sole of foot and analyzing individual characteristics. The subjects were 269 elderly men over 60 years of age. Their right feet were measured indirectly with a 2D scanner. The anthropometric measuring items consisted of 38 items that were estimated on the right foot of each subject. The 2D scan data were analyzed by various statistical methods such as factor analysis, ANOVA and cluster analysis using the statistical program SPSS 19.0. A total of 8 factors were extracted through a factor analysis and these factors represent 77.83% of total variance. The 8 factors were: ball and lateral foot protrusion, ball gradient, medial foot protrusion, anterior and posterior foot length ratio, lateral ball length, heel size, toes breadth, and foot length, that explained 77.83% of the total variance. A total of 4 clusters (as their sole type) were categorized using 8 factor scores by cluster analysis. Type 1 was classified as H-type(toes width, foot width, heel width uniform and medial malleolus and lateral malleolus almost no protrusion). Type 2 was classified as V-type(foot width and toes width, wide and heel width narrow). Type 3 was classified as A-type(foot width and heel width, wide but toes width narrow, protruded inside). Type 4 was classified as D-type(protruded outside).

A Study on Body type Characteristics of Mongolian Women (몽골 성인 여성의 체형특성에 관한 연구)

  • Im, Soon;Kim, Sang-Hee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.9 no.3
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    • pp.75-85
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    • 2007
  • This study analyzes characterization and classification of body types of Mongolian women. 100 adult subjects within the 20 to 49 age group were studied. The physical measurements of the research subjects come up to a total of 50 items. Data was statistically analyzed with SPSS program using basic statistics, t-test, one-way ANOV A, Duncan-test, factor analysis and cluster analysis. The conclusions are as follows. In the result of factors analysis in physical measurements of Mongolian women, 7 factors such as on the obesity of body, the vertical size of body, hip length, the bust from back length, the bust from front length, the ankle size and the shoulder size were extracted. The accumulated contributory rate of these was 70.7%. The cluster analysis for the comparison of the body types, by categorizing the body types produced three types. Mongolian women were grouped as those with the short stature and light weight, the medium stature and heavy weight, the tall stature and medium weight. The comparison of 50 items in physical measurements between Korean women and Mongolian women resulted in the differences in 39 items. While the height items including stature between them showed negligible differences, most of the length items relating to breadth, circumference, depth and obesity showed differences, which were big.

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