• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.113-123
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• 2020

In this paper, big data analysis was conducted for past and present fashion trends and fashion cycle. We focused on daily look for ordinary people instead of the fashion professionals and fashion show. Using the social matrix tool, Textom, we performed frequency analysis, N-gram analysis, network analysis and structural equivalence analysis on the big data containing fashion trends and cycles. The results are as follows. First, this study extracted the major key words related to fashion trends for the daily look from the past(1980s, 1990s) and the present(2019 and 2020). Second, the frequence analysis and N-gram analysis showed that the fashion cycle has shorten to 30-40 years. Third, the structural equivalence analysis found the four representative clusters. The past four clusters are jean, retro codi, athleisure look, celebrity retro and the present clusters are retro, newtro, lady chic, retro futurism. Fourth, through the network analysis and N-gram analysis, it turned out that the past fashion is reproduced and evolves to the current fashion with certain reasoning.

• Journal of the Korea Society of Computer and Information
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• v.16 no.10
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• pp.205-210
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• 2011

This paper is implemented new styled site to combine community of blog style for SNS and shopping mall. Especially, this site is included simulation of coordination in fashion with avatar model. It makes indirect experience of clothing and user-friendly user interface that is different to other Web sites or shopping malls. So this avatar is designed and implemented by using flash animation technique that makes confirm possible coordination styles with eyes of client instantly and review goods very easily. Additionally, it makes pay attention to connect shopping malls and service convenience by SNS.

• Journal of Korean Home Economics Education Association
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• v.21 no.2
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• pp.45-60
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• 2009

This study is intended to implement an e-Learning system assisted class for the dress unit in the subject of technology & home economics in the middle school. This class is aimed at making teaching-learning in the dress unit effective, triggering students' interest in it, enhancing their understanding and offering basic materials for the e-Learning development about clothing instruction in the subject of technology & home economics. To make the concrete situational learning effective and provide realistic learning environments, learning contents were implemented so that the learners themselves could manipulate the contents by clicking. How to wear clothing according to learners' individuality was presented in order to trigger the learners' attention and motivation using the latest clothing pictures from the Internet shopping mall, and the dress fashion pictures of their peers. The result of this study can be summed up as follows. First, the implementation of learning materials with which simulation manipulation and visualization were possible could make the students reach the learning goals easily. Second, teaching-learning activity could be made more effective using audios, images and moving pictures rather than written texts. Third, learning the dress unit, which is especially related with a new fashion, made the most of the advantage of e-Learning by providing realistic and lively learning materials in a timely manner. And it triggered learners' motivation by providing pictures or moving pictures related with their real life. Based on these research results, this study suggests further research to develop e-Learning contents using various multimedia authoring tools as well as the ones applied to this study in learning the dress unit. It also suggests that the database of teaching-learning materials be constructed to securely prepare abundant instruction materials.