• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.1-15
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• 2022

The purpose of this study is to compare and analyze the perception of men's fashion before and after the COVID-19 pandemic. TEXTOM allowed the collection of Big Data based on the term 'men's fashion'. As for the data collection periods, Jan. 1, 2018 to Dec. 31, 2019 was set as the pre-COVID-19 era, while Jan. 1, 2020 to Dec. 31, 2021 was set as the post-COVID-19 era. The top 50 words in terms of appearance frequency were extracted from the data. The extracted words were processed using network centrality analysis and CONCOR analysis using Ucinet 6. Research findings were as follows. 1) In the pre-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'men's fashion', 'brand', 'daily look', 'suit', and 'department store'. These words came up with a high TF-IDF values. Network centrality analysis discovered that 'men', 'fashion', 'men's fashion', 'brand', and 'suit' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and styles', 'fashion show', 'purchase', and 'collection'. 2) In the post-COVID-19 era, the appearance frequency of 'men' was the highest, followed by 'fashion', 'brand', 'men's fashion', 'discount', 'women', and 'luxury'. These words also displayed high TF-IDF values. Network centrality analysis found that 'fashion', 'men', 'brand', 'men's fashion', and 'discount' had a high level of connectivity with other words. CONCOR analysis showed four significant groups: 'fashion item and style', 'fashion show', 'purchase', and 'situation'. 3) Before the outbreak of the pandemic, men were interested in suits to wear to the office, daily look, and fashion shows in Milan and Paris. They often purchased menswear in multi-brand and open stores. However, they were more interested in sneakers, casual styles, and online fashion shows as social distancing and working from home became common. Most purchased menswear through online platforms.

• Fashion & Textile Research Journal
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• v.4 no.2
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• pp.176-187
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• 2002

The aim of this research is to establish basic materials for fashion merchandising by observing the street fashion of the juveniles and by analyzing their wearing, coordination and fashion trend. We have taken the photograph of the street fashion of 202 male teenagers and 265 female teenagers in Busan, and analyzed in the category of style, item, color, pattern, materials, hair style, shoes and accessories. We have concluded that the most frequent items were shirts (male), turtle neck (female) and jeans. The main style was casual just as jumper-look, sweater-look, gardigan-look. The typical female fashions that were hip-hop-look, twin neat-look, trench coat-look, were more various than male. For the color coordination, contrast color coordination was more dominant than similarity color coordination. Dominant patterns were solid, and also check and stripe patterns were frequently found in upper garment. The representative materials were soft for upper garment, and hard for trousers. Male teenagers prefer middle-length hair style and female teenagers prefer long hair style. The juveniles in Busan are wearing sports shoes and leather shoes in similar frequency. Their favorite accessories are bag, muffler and hat.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.2
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• pp.354-368
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• 2020

Accurate and versatile image data-sets are essential for fashion AI research and AI-based fashion businesses based on a systematic attribute classification system. This study constructs a color and texture attribute hierarchical classification system by collecting fashion item images and analyzing the metadata of fashion items described by consumers. Essential dimensions to explain color and texture attributes were extracted; in addition, attribute values for each dimension were constructed based on metadata and previous studies. This hierarchical classification system satisfies consistency, exclusiveness, inclusiveness, and flexibility. The image tagging to confirm the usefulness of the proposed classification system indicated that the contents of attributes of the same image differ depending on the annotator that require a clear standard for distinguishing differences between the properties. This classification system will improve the reliability of the training data for machine learning, by providing standardized criteria for tasks such as tagging and annotating of fashion items.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.4
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• pp.597-614
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• 2024

This study examines how idealism and relativism, which are the two dimensions of personal moral philosophy, and the perceived moral intensity affect the purchase behavior of consumers regarding fashion items made of animal skin and fur. Data were collected through an online survey, and data from 372 Korean female consumers were statistically analyzed, excluding questionnaires with non-response, insincere responses, and outliers. The data analysis using structural equation models showed a significant effect of idealism but a non-significant effect of relativism on perceived moral intensity concerning the purchase of real leather and fur fashion items. In a structural equation model for each fashion item, perceived moral intensity had a negative effect on purchase behavior. The indirect effect of idealism on purchase behavior through the perceived moral intensity was confirmed to be statistifically significant for each fashion item. However, neither idealism nor relativism had a direct effect on the purchase behavior of both fashion items. The research results were discussed from an academic perspective and practical implications were presented.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.5
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• pp.877-886
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• 2009

In this paper, we propose a new method for the design and implementation of Cloth Simulation System for 3D fashion shopping mall based on Web. Web 3D shopping mall is implemented by using a Web3D authoring tool, ISB, which provides easy mouse operation. 3D human models and cloth item model are designed by low polygon modeling method of 3D MAX. The designed 3D human models and cloth item model are exported to XML file. Finally, 3D human models and cloth item model are displayed and animated on the Web by using ActiveX control based on DirectX. We also implemented textile palette and mapped it to clothes model by using alpha blending during simulation.

• Journal of Fashion Business
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• v.2 no.4
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• pp.46-55
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• 1998

The purpose of this study is to constitute the historical connection of apparel industry by investigation on development and upbringing policy of our apparel industry. Because of the administrative idea of Chosun period is Confucian idea and feudal class system based on the Confucianism, the agricultural industry is the most important one, and developed the economic thinking system that agricultural industry is the foundation of clothes and food industry. In the clothing manufacture of Chosun period, a garment which used in the royal household selected manual industry form by government establishment, but a garment which used in the people selected manual industry form of private. The commerce of Chosun period is based on the official commerce (Sijeon) connected with the official system of state and the private commerce is operated by private trader. Among the item which was traded on the market in this times, the cloting item is the important trade item second only to the grain, and was dealed with every market in the country.

• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.23-26
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• 2010

In this paper, we propose a new method for the design and implementation of a web-based 3D fashion shopping mall. Web 3D shopping mall is implemented by using a Web3D authoring tool, ISB, which provides easy mouse operation. 3D human models and cloth item model are designed by low polygon modeling method of 3D MAX. The designed 3D human models and cloth item model are exported to XML file. Finally, 3D human models and cloth item model are displayed and animated on the Web by using ActiveX control based on DirectX. We also implemented textile palette and mapped it to clothes model by using alpha blending during simulation.

• Journal of Fashion Business
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• v.23 no.4
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• pp.112-126
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• 2019

The objective of this study was to investigate visual elements of steampunk fashion and provide base line data for innovative fashion design ideas and products. We investigated design characteristics of steampunk fashion style shown in 3 movies and 3 animations. Based on the investigation, the research drew intrinsic value of steampunk fashion from three brands 'Vivienne Westwood', 'Dolce & Gabbana' and 'Alexander McQueen'. As the research analyzed movies and animations revealing steampunk style, various characteristics were found and assorted into similar categories. Subcategories of steampunk fashion are pluralism, rebellion and heterogeneity. The followings are result of analyzing three designer collection listed above. First, steampunk fashion made by designers used various color and materials to express multi-pluralistic(multiplicity) characteristic. Second, fashion style in collections revealed artistic and experimental design. This adventurous and innovative characteristic is categorized as rebellion feature. Third, steampunk fashion style used mix-match of unexpected materials or unbalanced silhouette to create a complete fashion style by combining styles in duplicity which could've lack harmony. Intrinsic value of steampunk is defined as graffiti of 19th century's science technology and utopia spirit. Longing for past and fantasy was expressed into fashion. Steampunk fashion wants to escape reality and tries to recreate history of the past faded away with technological development. It defines steampunk as freedom, deviation and fantastical utopia in positive point of view. Furthermore, aesthetic implication of steampunk style found in this research can make a boundary of steampunk style clear and become reference for future researches regarding steampunk fashion.

• Fashion & Textile Research Journal
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• v.14 no.3
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• pp.347-362
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• 2012

The analysis results of the characteristics of children's clothes for school girls from the 2006S/S-2010S/S collections reveal that the most frequent type of item composition was 2'PS & 3'PS. T-shirts were the popular kind of item for upper garments and pants for lower garments. The major silhouettes were H and A line. The predominant neckline was U, which was followed by camisole and V. The major collar styles were stand-up and flat. Chromatic colors were used more than achromatic ones and after white the most popular colors were blue, pink, red, black, navy, and green. The dominant color scheme was a two-color or three-color scheme. The percentage of solid and patterned material garments was the highest and the most popular pattern was flowers. The most popular style of garment had no decorative detail that was followed by one-item, two-item, and three-item decoration. The major kinds of decorative detail were frills, pleats, and prints.

• Journal of Fashion Business
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• v.22 no.2
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• pp.134-149
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• 2018

The number of children wearing make-up is increasing. "Children's cosmetics" is not a legal term though it is commonly used. The purpose of this study is to analyze discussions on children's cosmetics based on news articles found on the internet. This study also identifies what products are being distributed as children's cosmetics. Keyword searches were conducted using internet portal sites. Information was extracted from news articles and Best Item 100 for children's cosmetics. The results of analyzing news articles and Best Item 100 lists are as follows : 1. There were two main discussion topics in news articles. The first topic was related to marketing(the branding and trends of children's cosmetics). The other topic was about government regulations(side effects, harmful ingredients, control, regulations, attention, proper product usage, product categorization, and the overall safety of children's cosmetics). By 2014, many articles had covered government control and regulation. However, since 2017, news articles have focused on the product categorization and the concern for overall safety has dramatically increased. 2. Three different product categories have appeared in the Best Item 100; they are cosmetics, toys, and other products. In market, consumers recognized children's cosmetics as cosmetics and also as toys. Between 2017 and 2018's Best Item, other products are dramatically down, color cosmetics and single cosmetics are on the rise, and the purchase of domestic products has increased.