• 복식문화연구
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• 제5권4호
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• pp.130-158
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• 1997

This study outputs calculation of regression of each items for production of torso basic pattern according to 6 body types as the result of another study and intends to present drawing method of torso model by short measure method modified and supplied and supplied by experiments of wearing clothing. SAS(Statistical Analysis System) is used for figures management and methods for analysis used are Frequency Analysis, Means Analysis, Regression Analysis, Correlation Analysis, etc. Results are as follows. 1. Correlation analysis is used to output the size necessary for torso prototype drawing by sort measure method and waist front length, back length, crotch length, shoulder point-cerricale-shoulder point, bust circumference, waist circumference, weight, etc, are set up as representative items calculation of regression of each type is suggested. 2. In the result of experiment of the first wearing clothing intended for 5 in each type and the whole 30, to develop torso prototype drawing method by short measure method, as we find some problems of the shape and propriety of neck root circumference line, the position of shoulder point, pulling or hold armpit parts, waist circumference line, the degree of dissatisfaction is high, so the second experiment of wearing clothing is propriety of each part is improved, all items except the length and quantity of shoulder dart, waist in back bodice, clearance quantity of hip circumference, and the place of shoulder line in side bodice. So, it was modifed and supplied and then the third torso prototyped drawing method by shout measure method was suggested. The third prototype drawing method was suggested, by modifying and supplying.

• 자원환경지질
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• 제33권2호
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• pp.111-116
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• 2000

Indentifying anomaly correlations between data sets is the basis for rationalizig geopotential interpretation and theory. A procedure is presented that constitutes an effective process for identifying correlative features between the two or more geopotential data sets. Anomaly features that show direct, inverse, or no correlations between the data may be separated by applying filters in the frequency domains of the data sets. The correlation filter passes or rejects wavenumbers between co-registered data sets based on the correlation coefficient between common wavenumbers as given by the cosine of their phase difference. This study includes an example of Magsat magnetic anomaly profile that illustrates the usefulness of the procedure for extracting correlative features between the data sets.

• 대한한방부인과학회지
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• 제33권1호
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• pp.36-58
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• 2020

Objectives: We conducted a literature study on the treatment trends in China to find out the possibility of Oriental medicine treatment of atypical hyperplasia of breast (AHB). Methods: RCTs (randomized controlled trial) on AHB were collected from CNKI (China National Knowledge Infrastructure). The search words were "乳腺增生", "乳腺囊性增生", "乳癖", "中医", "中药" and "中西医结合". The search period was limited from July 2006 to May 2017. Finally, we selected 107 RCTs which were clinical studies to find out the effectiveness of Chinese herbal medicine in comparison with Western medicine. After reviewing, we investigated Chinese herbal medication guide, Chinese treatment method and prescriptions. And the correlation between the treatments and the medicinal herbs was investigated to be useful in the clinical practice. Results: 1. The administration of herbal medicine was 58.9 percent in 63 cases, followed by menstrual cycles, and 41.1 percent in 44 cases, regardless of menstrual cycles. 2. In the basic frequency analysis between the treatment and the medicinal herb, the frequency of dissipate binds (散結) was the highest. Next, there was a high frequency of therapies such as activating blood-activating (活血), relieve pain (止痛), soothe the liver (疏肝), regulate qi (理氣), resolve phlegm (化痰), soften hardness (軟堅), resolve depression (解鬱), move qi (行氣) of frequency was high. In herbal medicine, bupleuri radix (柴胡), cyperi rhizoma (香附子), angelicae gigantis radix (當歸), fritillaria thunbergii bulb (貝母), paeoniae radix alba (白芍藥), prunellae spica (夏枯草), corydalis rhizoma (玄胡索) showed high frequency. 3. We finded out the correlation between the frequent treatment methods and the medicinal herbs using Text Mining. Conclusions: These findings are thought to help implement Korean traditional medicine treatments for AHB.

• 복식
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• 제52권3호
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• pp.99-109
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• 2002

The purpose of 7his study was to understand the characteristic of involvement which affect to consumers of fashion market, and at the viewpoint of complex style, this involvement is consists of clothing involvement, advertising involvement and situation involvement, also by verifying the consumers reaction to clothing advertising effect process. It analyzed at last six hundred eighteen women in the age of twenty to thirty yearn old who live in Seoul. SPSS package were used to analyze the gathered data. Frequency, percentage, fator analysis. ANOVA. duncan test, correlation analysis. The results of this study can be summarized as follows : First, The clothing involvement was the highest Involvement of fashion consumers and it showed high correlation among clothing involvement, advertising involvement, situation involvement. Second, Depends on the nature of involvement, involvement group is divided as the most involvement, high involvement, low Involvement and the most lowest involvement groups. Third, Involvement and advertising effect showed highly difference, and the higher involvement group has high perceptive process and memory progress, friendly attitude process, and purchasing intention is high.

• 복식
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• 제61권6호
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• pp.101-112
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• 2011

The purpose of this study was to investigate the relationships among clothing image, make-up image, and hair image. The Data were collected from 306 women living in Gyeongnam province in June, 2009. Statistical analysis used in this study were frequency, F-test, t-test, Duncan test, factor analysis, Cronbach's ${\alpha}$, correlation coefficient, and multiple regression. The results of this study were as follows.: Three factors of clothing image were titled as elegance, youth, and visibility. Three factors of make-up image were titled as modern, romanticism, and mediocrity. Four factors of hair image were titled as attraction, individuality, gentleness, and cuteness. The clothing image, make-up image, and hair image according to the demographic characteristic of women showed significant difference. The clothing image resulted in correlation with the make-up image and hair image. The clothing image had a influence on the make-up image and hair image.

• 대한가정학회지
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• 제34권4호
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• pp.245-256
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• 1996

The purpose of this study were 1) to understand clothing involvement and body cathexis of elderly women, 2) to examine differences between store atmosphere factor on clothing involvement and body cathexis, 3) to find out its relationship with clothing involvement and body cathexis. Data were collected by questionnaire of 248 elderly women. Frequency, factor analysis, Chi-square, t-test, F-test, F-test, correlation and Duncan's multiple range test were used in data analysis. As a result, 1) clothing involvement of elderly women were classified with importance, fashion and interest, symbolism factor and there was significant differences with display, comfort, interior, convenience factor. 2) Elderly women were not satisfied with their body sufficiently and there was significant differences only display factor(store location, show window, display). 3) Clothing involvement was significant differences variables were found in relationship to body cathexis except income. 4) There was positive correlation between clothing involvement and body cathexis. The higher body cathexis, the more interest clothing.

• 대한가정학회지
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• 제41권2호
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• pp.93-106
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• 2003

The purpose of this study was to investigate job stressors, job stress symptoms, and job performance of workers in fashion industry. The data were obtained from questionnaire completed by 529 workers who were employed in textile or clothing manufactures located in Seoul, Daegu, Busan, and Masan area. The SPSS package was used for data analysis which included frequency, mean, correlation, and factor analysis. Job stressors consisted of environmental related stressors, job related stressors(task characteristics and role characteristics) and organization related stressors(organization climate and career development). Most of job stressors were significantly correlated with job stress symptoms but their correlation coefficients were low. Among job stressors, quantitative work overload was found to be a major stressor. Workers in fashion industry appeared to evaluate their job performance relatively good. Also, it was found that behavioral and psychological symptoms were negatively correlated with job performance.

• Structural Engineering and Mechanics
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• 제22권4호
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• pp.469-481
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• 2006

A new method called fuzzy factor method for the stationary stochastic response analysis of fuzzy truss with global fuzzy structural parameters is presented in this paper. Considering the fuzziness of the structural physical parameters and geometric dimensions simultaneously, the fuzzy correlation function matrix of structural displacement response in time domain is derived by using the fuzzy factor method and the optimization method, the fuzzy mean square values of the structural displacement and stress response in the frequency domain are then developed with the fuzzy factor method. The influences of the fuzziness of structural parameters on the fuzziness of mean square values of the displacement and stress response are inspected via an example and some important conclusions are obtained. Finally, the example is simulated by Monte-Carlo method and the results of the two methods are close, which verified the feasibility of the method given in this paper.

• KIEAE Journal
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• 제3권3호
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• pp.51-58
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• 2003

This Study aims to evaluate the interior atmospheres of atrium by glass colours. For the purpose, the 1/50 scale model of one-sided atrium was made and images of interior atmospheres were pictured under clear sky conditions. And then, questionnaire surveys were conducted on K university students in department architecture engineering. The survey results were analyzed by SPSS program. Frequency and correlation analysis were performed. As results, clear glass is chosen as the most preferred glass colour in any seasons. And, green and blue glasses are preferred in the order. And then, it is revealed that the main variables affecting satisfaction of interior atmospheres are a little changed by thermal senses of seasons. These variables are "bright", "neat", "warm", "comfort", "stable", "active", "static", "elegant" and "cool" through correlation analysis.

• 한국복식학회:학술대회논문집
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• 한국복식학회 2003년도 International Costume Conference
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• pp.55-55
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• 2003

The purpose of this study was to find out apparel fit satisfaction according to item (jacket, pants, skirt) by body perception and body satisfaction. This research was done by a survey method. Statistical analysis such as frequency, a percentage, arithmetic average, standard deviation and Pearson's correlation, Crosstabs(Chi-square) were used for data analysis.