• The Korean Journal of Mycology
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• v.7 no.2
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• pp.120-123
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• 1979

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.5
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• pp.663-674
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• 2000

The purpose of this study was (1) to examine the preference for apparel brands and country of origin, (2) to evaluate the brand equity for domestic and imported apparels as perceived by Korean and American consumers, and (3) to analyze the effects of country of origin and brand equity on consumers' apparel purchase behavior. The sample included 151 Korean and 114 American consumers. The data were collected from respondents by using the mall-intercept method. In addition, the path analysis based on multiple regression analysis was applied to analyze the data. The major findings in this study were as followings; (1) Both of all Korean and US consumers preferred domestic apparel brands to imported brands but the latter preferred apparels made in home country to the former comparatively, (2) Korean consumers evaluated more favorably the brand equity for imported apparels than that for domestic apparels, but American consumers were quite the reverse, (3) To Korean consumers, the direct variable to influence the purchase intention of apparels was the perceived quality and indirect variables were the brand equity and country of origin. On the other hand, to American consumers, the perceived quality and the brand equity for domestics apparel had directly influence on the purchase intention and the brand equity for imported apparels did indirectly. Finally, implications for managerial and marketing strategies were discussed in regard to building an international apparel brand equity and improving exports with high quality apparels.

• Journal of the Korean Home Economics Association
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• v.45 no.3
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• pp.33-42
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• 2007

The purpose of this study was to examine the relationship between online apparel impulse buying behavior and product category/price of apparel items. The data were collected using an online survey with a structured questionnaire and a total of 731 responses were retained. Two hypotheses were put forward to test the relationships among the variables. Test of H1 showed that some product categories purchased by the respondents in the impulse purchase group were significantly different from those bought by the non-impulse purchase group. Categories such as shirt/blouse and belt were bought more frequently by the respondents in the impulse purchase group whereas shoes were bought more frequently by those in the non-impulse purchase group. The respondents in the impulse purchase group bought more items that cost less than $25 than those in the non-impulse purchase group. Based on the results, H1 and H2 were supported. From the results of the study, it is concluded that product categories and product price are closely related to the online apparel impulse buying behavior.

• Journal of Korea Multimedia Society
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• v.14 no.8
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• pp.1061-1069
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• 2011

With the development of information technology, online commercial transactions have been steadily increasing. However it is not easy to recommend the clothes in coordination with individual physical features. This paper presents a fashion coordination recommender system for women's clothes. The system includes the functionality of recommending clothes best-suited for customers in consideration of their individual physical features. It has also been designed to recommend clothes in vogue for those who are fashion-sensitive by considering the fashion trend of the times. Operated in an optional or coupling way, these functionalities of our system result in an intelligent fashion coordination system which recommends dress items to customers in various ways.

• Journal of Digital Contents Society
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• v.7 no.4
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• pp.287-294
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• 2006

Mass-customization is fast growing a segment of the apparel market. 2D Virtual wearing system is one of visual support tools that make possible to sell apparel before producing and reduce the time and costs related to product development and manufacturing in the world of apparel mass-customization. This paper is related to fabric color mapping method for 2D image-based virtual wearing system. In proposed method, clothing shape section of interest is segmented from a clothes model image using a region growing method, and then mapping a new fabric color selected by user into it based on its intensity difference map is processed. With the proposed method in 2D virtual wearing system, regardless of color or intensity of model clothes, it is possible to virtually change the fabric color with holding the illumination and shading properties of the selected clothing shape section, and also to quickly and easily simulate, compare, and select multiple fabric color combinations for individual styles or entire outfits.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3742-3752
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• 2015

This study aims to examine and analyze consumers' perception level and purchase behavior of organic clothing goods with. According to their purchase experience of organic clothing goods, it was found that organic textile products for women like sanitary pad were most and purchase frequency of organic clothing goods was mostly once. Among reasons to purchase organic clothing goods, 'for my health' was most. Non-purchase reason was mostly 'I don't know what organic goods are'. Therefore, there were significant awareness differences of organic clothing goods in "health efficiency" between the purchasing group and the non-purchasing group. In addition, there were significant awareness differences of demographic characteristics and organic clothing goods in sex, age, and "health efficiency" of related major items and in "high quality recognition" and "health efficiency" of residential areas.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.17-25
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• 2023

In this paper, we propose a lightweight deep learning architecture tailored for efficient text detection in fashion design sketch images. Given the increasing prominence of Digital Transformation in the fashion industry, there is a growing emphasis on harnessing digital tools for creating fashion design sketches. As digitization becomes more pervasive in the fashion design process, the initial stages of text detection and recognition take on pivotal roles. In this study, a lightweight network was designed by building upon existing text detection deep learning models, taking into consideration the unique characteristics of apparel design drawings. Additionally, a separately collected dataset of apparel design drawings was added to train the deep learning model. Experimental results underscore the superior performance of our proposed deep learning model, outperforming existing text detection models by approximately 20% when applied to fashion design sketch images. As a result, this paper is expected to contribute to the Digital Transformation in the field of clothing design by means of research on optimizing deep learning models and detecting specialized text information.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.9
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• pp.1539-1550
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• 2001

이 연구는 미국이라는 사회 안에서 민족적 하위문화를 형성하고 있는 재미한국인 가운데 문화 적응도가 의류관련 쇼핑성 향에 미치는 영향을 고찰하고자 수행되었다. 전 미국의 재미한국여성을 대상으로 무작위 표집 방식을 채택하여 1000명을 표집 한 후 설문지가 우편으로 발송되었다. 이 중 115명의 재미한국여성 응답자로부터 얻은 자료를 다중회귀분석과 다변량 회귀분석을 사용하여 분석하였다. 연구결과로서, 응답자의 개인적 특성 중 지리적 위치, 교육수준, 연령, 미국에 도착한 연령 등이 유의한 영 향을 미치는 것으로 나타났다. 또한, 문화 적응도는 의류관련 쇼핑성향에 유의한 영향을 미치고 있음을 확인하였다.

• Journal of Korean Society of Forest Science
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• v.84 no.2
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• pp.178-185
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• 1995

Air pollution effects on soil chemical properties, denitrifying and sulfur-reducing bacteria and lichens were examined around the Yeochun industrial estate. Soil samples were collected from mountain and/or mountain edges around the Namhae Chemical Corp., which is located at the southern edge of the estate, and sampled plots which were selected at 2km, 4km, 6km, 8km, and 10km apart from the industrial estate. The forest soils around the industrial estate could be classified into the Reddish yellow forest soil group, but soil pH was quite lower than the soils of the group. Because of the extremely low soil pH, microbial activity related to mineralization of organic matter was expected to be very low even though C/N ratio ranged from 15 to 20. As a result, soil organic matter and total nitrogen in soil were relatively high compared to the soils of the group. In general, soil chemical properties around the industrial estate up to 4km apart from the estate were significantly different from the rest(more than 6km apart from the estate) possibly due to air pollution. However, denitrifying bacteria and sulfur-reducing bacteria did not show significant differences in colony forming units by the distances from the industrial estate. By the way, lichens showed distinct differences in frequencies and coverages by the distances from the industrial estate possibly due to air pollution. The corticolous lichens showed more sensitive response to the air pollution compared to the saxicolous lichens.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.4
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• pp.583-593
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• 2000

이 연구의 목적은 첫째, 계속 확대되어가고 있는 미국 TV 홈쇼퍼에 대한 인구통계학적인 특성과 그들의 구매행동을 조사하여 TV 홈쇼핑에 대한 이해의 폭을 넓히고 쇼핑이용자의 만족도를 증진시킬 수 있는 방안을 모색하는 데 있다. 둘째, TV shopping channel 에의 많은 노출은 TV 홈쇼핑의 유통 특성상 강박구매를 야기 시킬 경향이 높은 데 과연 TV shopping channel 노출과 강박구매와 관련이 있는 지, 그리고 TV 홈쇼퍼중 어느 정도의 강박구매자가 존재하는 지 조사하는 데 있다. 미국 전지역 51주에 걸쳐 회수된 설문지 결과, 일반적 마케팅 타겟에서 소외시되온 소비자집단, 예를 들면, 중년이나 노인 여성들, 몸이 비대한 여성들, 장애인등과 같은 다양한 집단들이 TV 홈쇼핑을 그들의 주요 쇼핑형태로 이용하였고, 특히, 대다수의 TV 홈쇼퍼들은 의류를 구매한 경험이 있었다. 또한, TV shopping media에 노출이 강박구매행동과 유의한 관련이 있는 것으로 나타났는데, 특히 이 연구의 TV 홈쇼퍼중 일반인에 비해 약 2배가량의 강박구매자가 있는 것으로 밝혀졌다. 이 연구 결과를 토대로 사회지향적 마케팅전략이 논의되어진다.