• Korean Journal of Human Ecology
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• v.13 no.5
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• pp.787-798
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• 2004

This research was designed to compare clothing fabric images between on- and off-line by fabric types and its characteristics. 125 subjects who have a fashion design major evaluated the fabric image of various 16 kinds of specimens on- and off-line. Frequency, x2-test, t-test, and Pearson correlation were used for statistical analysis by SPSS WIN 11.0. The results of this study are as follows: 1. The advantage of on-line shopping includes low price and purchasing convenience, etc. On-line shoppers mostly purchase clothing items, such as T-shirt and slacks. In most cases, texture of fabrics provides a main cause for the shoppers' discontentment with internet shopping. 2. The results of t-test for the difference of the evaluation score show that plain or pile weave and highly thick or thin fabrics-for example, Organdy, Corduroy, Nylon Taffeta, Plush, etc.-have a large difference between on-and off-line image. On the other hand, medium-thick twill weave-for example, Tweed, Flannel, etc.-or patterned weave-Chiffon, Dobby fabric, etc.-shows a small difference. 3. The results of correlation of the evaluation score indicate that wool twill fabrics like Tweed, Saxony, and Polafleece show a high correlation between two kinds of evaluation score. In texture preference, no correlation exists between on-line and off-line. 4. With an analysis on fabric image evaluation by fabric characteristics, smooth, shiny pink Satin was found the most positively-evaluated item in all evaluation fields except in pattern preference and individuality. On the other hand, thick olive green Corduroy was evaluated most negatively in the fields of elegance, luxury, and feminine. 5. When compared with real ones, thin fabrics provide a different on-line fabric image. For example, Nylon Taffeta and Organdy were evaluated positively on-line because of luster and pastel tone color. However, lusterless uneven cotton Seersucker was evaluated negatively. 6. Real fabrics preference is more negative than on-line ones. In addition, patterned or unique fabrics display a high agreement between the two kinds of images.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.785-796
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• 2008

The Open-Market internet shopping malls has rapidly been growing over the past few years. Thus, this study compares Meta-Mall and Open-Market, as well as evaluates image factors of the internet shopping mall in order to verify different levels of influence on customer satisfaction and revisit intentions. The subject of stud was made for students enrolled in colleges in the Busan area, using this Data collection method. Data were gathered using a questionnaire and through personal interviews from a sampling made from May 1 to May 8, 2008. The final 337 accomplished questionnaire forms were used for the subsequent analysis. The results of the substantial analysis are as follows. First, the following factors affect the image of internet shopping malls: assortment of goods and information service, site design, convenience, reliability of goods and information, and customer service. In Meta-Mall, these same factors, except customer service, were found to influence customer satisfaction, while in Open-Market, all the five factors were found to influence customer satisfaction. In Open-Market, convenience and reliability of goods and information had especially high levels of influence on customer satisfaction. Second, customer satisfaction with Internet shopping malls was found to influence the intentions of the customers to make a revisit. The result of the study shows that the factors of shopping mall image between Meta-Mall and Open-Market are perceived differently by their customers, and differences were found in the levels of their influence on customer satisfaction.

• Journal of the Korean Society of Costume
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• v.59 no.2
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• pp.87-100
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• 2009

This study examines black images as 'the other' in history and aims to analyze images of black female fashion models which have been changed in modern society, particularly in $21^{st}$ century post-modern world. Black images, established historically as illustrated on the paintings in $19^{th}$ century, were disseminated in $20^{th}$ century throughout the world especially by way of TV and movies as several typical images such as 'Coon' the clown as the object of entertainment, 'Buck' wild and resistant black rascal, and 'Mammy' obedient and fat black woman servant. The result of image analysis of black female fashion models, can be summarized as following five images. The first is the image of 'powerful'. Black female models frequently represent healthy image which reflects black people's excellence in sports and also the traditional Image of black skin color as strength. The second is the image of 'sexy'. They are adored as having perfect ideal body shape. They show off their sex appeal with their body. The third image is 'multicultural'. Black models represent cultures besides the western. The fourth is the image of 'fantastic'. In contrast to the real, resonable things, black female models represent wild, fancy, ghost things. The fifth is the image of 'racial discrimination' By arranging them in contrast to whites, a metaphoric image of racial discrimination can be displayed. The result shows that tome of racial images still remain on the other way.

• Journal of the Korean Society of Costume
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• v.26
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• pp.101-121
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• 1995

The Purpose of this study was to investigate homology between the Popular music and Fashion of youthful subculture and how the image of popular music have influenced on the 90's fashion. As the result, Korean youthful subculture analized to be different from western youthful subculture. In western countries, the style of youthful subculture groups spread to tricle up as developed themselves but represented tricle down phenomenon in Korea. Because life con-dition of Korean Youthful was different from westerns in everything. The Image of popular music have an influenced on the 90's fashion, it is be classified into the Jazz image, the Country & Western image, the Rock image, and Hip-Hop, Ragge image. 1. The jazz image from Jazz music has come back dandism of the nostalgia mood and intro-duce ethnic sense into fashion. 2. The Country & Western image is reflected in fashion of accessories details, materials and Coordination item. 3. The rock image from Acid Rock and Punk Rock effected the advent of hippie mood fashion, ethnic, ecology, new unisex fashion and Punk fashion trend. 4. The hip-hop, raggae image from Rap and Raggae music showed on fashion of primitive mood's naturism, Sports wear's generalization and dualism. After the 90th, youthful fashion of new gener-ation may be infered constantly on the move toward $\ulcorner Fashion democracy \lrcorner$formation.

• Journal of Fashion Business
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• v.20 no.1
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• pp.115-126
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• 2016

Today the Olympics are considered representative of a culture that symbolizes the country's image and cultural specificity, and important colors act as effective means of Olympics marketing. Each color is unique to the natural environment and cultural heritage is one of the languages of each country, region or community and it symbolizes. Hence, the purpose of this study was to examine the color and to view the color image displayed on Olympic uniforms based on the national color sensibility. After analyzing the color image of the Olympic athletes, including six kinds of uniforms and operational personnel, a cool casual/casual image is created more frequently, followed by a modern, gorgeous, dynamic, elegant/chic, dandy/classic image. The uniform color is consistent with the national image and the theme of the Pyeongchang Olympics is to enhance the country's competitiveness by widely promoting the national image of Korea around the world. Furthermore, it is necessary to provide the empirical basis for creating the 2018 Pyeongchang Winter Olympic uniforms.

• Ecology and Resilient Infrastructure
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• v.11 no.3
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• pp.100-109
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• 2024

There are various methods in surface image velocimetry that can measure the flow velocity of a river surface using footage of a river surface. Among them, spatio-temporal image velocimetry (STIV) is widely used. This paper analyzed advantages and disadvantages of two STIV methods developed by the author, correlation-based STIV (C-STIV) and FFT-based STIV (F-STIV). This study also proposed a new method, hybrid STIV (H-STIV), that could supplement the advantages and disadvantages of the two existing methods by combining them. For the analyses, 20 cases of artificial spatio-temporal images, having image displacement ranging from 0.1 px/fr to 19.0 px/fr, were prepared. As a result, F-STIV was accurate with footage containing small image displacements and C-STIV was more accurate with footage containing large image displacements. For images with medium displacement, the two methods showed similar accuracies. Based on this result, H-STIV was proposed to adopt the result of F-STIV in displacements smaller than 2.0 px/fr (image strip slope 63.4°) and the result of C-STIV in larger displacements. As a result of applying the proposed method to argumentation, it was confirmed that H-STIV could calculate the flow velocity efficiently according to the situation.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.1 no.1
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• pp.31-40
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• 2020

The rapid development of technologies in unmanned aerial vehicles (UAVs) has led to their use in various areas. UAVs are mainly used for commercial purposes, but their utilization is increasingly important in other areas because their operation cost is less than satellites and aerial imaging. The utilization of UAVs in the environment/ecology area is relatively new. Therefore, identifying the trends of UAV-related spatial information is significant in basic research for UAV utilization. This study quantitatively identified domestic and international research trends related to UAV utilization and analyzed research areas. An attempt was also made to identify upcoming UAV-related topics in the environment/ecology research field using text mining to analyze the bibliographic information of global research literature. Domestic UAV-related studies were classified into seven clusters where basic research on "UAV technology/industry trends" was abundant, and studies on data collection and analysis through UAV remote sensing technology have increased since 2015. Eight clusters were identified for international studies where the most active research area international was "remote sensing technology/data analysis". In addition, Canopy, Classification, Forest, Leaf Area Index, Normalized Difference Vegetation Index, Temperature, Tree, and Atmosphere appeared as the main keywords related to environment and ecology. The appearance frequencies and association strengths were high because the advancement in UAV optical sensor technology and the rapid development of image processing technology enabled the acquisition of data that could not be obtained from existing spatial information. They are recognized as future research topics as related domestic studies have begun corresponding to international research.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.1
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• pp.51-62
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• 2011

This study provides guidelines for the development of Korean fashion cultural products. This study identified adolescents' perception of Korean traditional culture and examined their attitudes towards the fashion cultural products of the Korean image with a focus on their image association of those products. For this study, questionnaire data from 447 adolescents was used for statistical analysis. Adolescents were classified into three groups (apathy group, modernization group, and balanced succession group) according to their perception of Korean traditional culture. There were notable differences among the three groups in the image association with the fashion cultural products of Korean image and their value seeking. A large number of adolescents showed positive attitudes towards products with splendid and decorative images as well as simple and refined images. It is important to maintain a balanced strategy in developing cultural products between modernization and the succession of traditional images in order to magnity the market opportunities for fashion cultural products of the Korean image that focus on adolescents.

• Journal of Fashion Business
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• v.13 no.1
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• pp.1-16
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• 2009

The purpose of this study was to evaluate the clothing image of the Daks and Superior golf wear, and to compare the perceiver's image perception with clothing image in fashion industry, and to find out the differences of image perception between the buying groups and non-buying groups of the Daks and Superior golf wear, for developing the possibility and strategy of the golf wear market for the apparel marketers and manufacturers. In this study, the data obtained from 193 respondents were analyzed by the descriptive statistics, average analysis. The results from the data were as follows : The questionnaire of the image evaluation rated on 7 point Likert-type scales in the 17 features were evaluated by perceivers. The clothing images by 103 respondents(Daks group) were not in accord with the clothing images expressed on homepage of the Daks golf wear. In the other hands, the clothing images by the 90 respondents(Superior group) were in accord with the clothing images expressed on homepage of the golf wear. There were significant differences in evaluating the clothing images between the buying groups and non-buying groups of the Daks and Superior golf wear. The buying groups of the Daks and Superior golf wear perceived the clothing image of the Daks and Superior golf wear more dynamic, positive than the non-buying groups.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.3
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• pp.556-571
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• 2020

This study predicts consumer preference for social clothing at work, excluding uniforms using the self-product congruence theory that also establishes a model to predict the preference for recommended products that match the consumer's own image. A total of 490 Korean male office workers participated in this study. Participants' self-image and the product images of 20 apparel items were measured using nine adjective semantic scales (namely elegant, stable, sincere, refined, intense, luxury, bold, conspicuous, and polite). A model was then constructed to predict the consumer preferences using a neural network with Python and TensorFlow. The resulting Predict Preference Model using Product Image (PPMPI) was trained using product image and the preference of each product. Current research confirms that product preference can be predicted by the self-image instead of by entering the product image. The prediction accuracy rate of the PPMPI was over 80%. We used 490 items of test data consisting of self-images to predict the consumer preferences for using the PPMPI. The test of the PPMPI showed that the prediction rate differed depending on product attributes. The prediction rate of work apparel with normative images was over 70% and higher than for other forms of apparel.