• Journal of Korea Multimedia Society
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• v.3 no.2
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• pp.112-120
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• 2000

In this paper, we implement a real-time textile dimension inspection system. It can detect various types of real defects which determine the quality of fabric product, defect positions of textile, classify the distortion angel of moving textile and the density. In the implemented system, we measure the density of textile using zone-crossing method with optical lens to solve the noise and real-time problems. And we compensate distortion angel of textile with the classification of distortion types using gaussian gradient and mean gradient features. And also, it detecs real defects of textile and its positions using gray level co-occurrence matrix features. The implemented texile demension inspection systemcan inspect textile dimensions such as density, distortion angle, defect of textile and defect position at real-time. In the implemented proposed texitile dimension inspection system, It is possible to calculate density and detect default of textile at real-time dimension inspection system, it is possible to calculate density and detect default of textile at textile states throughout at all the significant working process such as dyeing, manufacturing, and other texitle processing.

• Proceedings of the Korean Fiber Society Conference
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• 1993.06b
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• pp.761-765
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• 1993

• Journal of Information Processing Systems
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• v.19 no.1
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• pp.109-117
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• 2023

Defect detection is one of the key factors in fabric quality control. To improve the speed and accuracy of denim fabric defect detection, this paper proposes a defect detection algorithm based on cascading feature extraction architecture. Firstly, this paper extracts these weight parameters of the pre-trained VGG16 model on the large dataset ImageNet and uses its portability to train the defect detection classifier and the defect recognition classifier respectively. Secondly, retraining and adjusting partial weight parameters of the convolution layer were retrained and adjusted from of these two training models on the high-definition fabric defect dataset. The last step is merging these two models to get the defect detection algorithm based on cascading architecture. Then there are two comparative experiments between this improved defect detection algorithm and other feature extraction methods, such as VGG16, ResNet-50, and Xception. The results of experiments show that the defect detection accuracy of this defect detection algorithm can reach 94.3% and the speed is also increased by 1-3 percentage points.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.8
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• pp.119-126
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• 2016

In this paper, we proposed the planar textile resonator for constructing wearable MR-WPT system and analyzed the characteristic of textile substrates used in resonators. The planar textile resonators were designed to resonate at 1-10 MHz. The loop and coil were fabricated planar structure on textile substrate using conductive materials. Polyester fiber and cotton widely used in real life were chosen as textile resonators for wearable applications and copper tape and silver paste were used for fabricating planar loop and coil on textile substrate. For comparison analysis on transfer efficiency according to the types of textile, transmitter and receiver parts were symmetric. According to the result, for the highest transfer efficiency of wearable WPT system, the planar resonators have specifications of relative thick textile substrate with low permittivity and low surface resistance of conductive pattern. The performed experiments show that the planar textile resonator is possible to be used for resonator in wearable MR-WPT system.

• Journal of the Korean Society of Costume
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• v.34
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• pp.135-150
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• 1997

The purpose of this study was to inves-tigate the economic performance of the textile industry for the Korean traditional clothes. The content of this paper had two pars; The first part was for the macroeconomic aspects such as location production employments and the produc-tion facilities of the textile industries. The second part was for the microeconomic aspects such as business type branding method fabric type R&D efforts sourc-ing and the distributional channel The major results were as follows: 1.) Most textile firms for the korean traditional clothes were located in Gongju for man-made fibers and in Jinju for silk fabrics. 2) The size of the textile industry in terms of the number of business produc-tion amount the number of employee de-creased during 1994 and 1995 due to the decreasing demand. 3) Over the half of the textile firms produced raw fabric products while only 20% of them were involved in additional dyeing and /or printing finish which re-sulted in low value added production 4) The R&D effort of the textile indus-try for the Korean traditional clothes was very low due to the market uncertainty lack of technological knowledge and most of all small size of the firms 5) Most raw materials for the textile in -dustry were imported with high(25%) tariff rates resulting in price increase and thus low competitiveness in the market. 6) The textile producers sole about the 70% of their products to the wholesalers while selling the rest to the retailers di-rectly. This showed the dual structure of the distribution channel in the textile products. These results suggested some implica-tions for the firms the policy makers and the researchers. The firms should develop new and improved products to increase and create consumer demand by intensive R&D efforts. The government policy ma-kers should give financial supports the firms with R&D investment and legal help such as lowing tariff rate for the raw ma-terials. The researchers from the academy could help the textile industry with the advanced technological knowledge and up-date information for the consumer fashion demand.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.541-550
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• 2003

It is important for the strategy of product sales to investigate the consumer's sensitivity and preference degree in the environment that the process of material development has been changed focusing on the consumer renter. In the present study, we propose the Fashion Design Recommender System (FDRS) of textile design applying collaborative filtering personalization technique as one of methods in the material development centered on consumer's sensibility and preferences. In collaborative filtering personalization technique based on textile, Pearson Correlation Coefficient is used to calculate similarity weights between users. We build the database founded on the sensibility adjective to develop textile designs by extracting the representative sensibility adjective from users' sensibility and preferences about textile designs. FDRS recommends textile designs to a consumer who has a similar propensity about textile. Ultimately, this paper sugeests empirical applications to verify the adequacy and the validity on this system with the development of Fashion Design Recommender System (FDRS)

• The Research Journal of the Costume Culture
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• v.21 no.1
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• pp.93-116
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• 2013

This paper explored and compared the textile pattern and motive design of fashion designers' brands and H&M collaboration collections. In particular, this study put it focus on textile pattern design of seven fashion design brands such as Roverto Cavalli and Versace, etc., which were collaborated with H&M. The color, motive type, motive layout, motive expression, and pattern drawing technique were collected from fashion internet sites over the five year period, and then were cross-sectionally examined and compared based on their color, motive type, motive layout, motive expression, and pattern drawing technique of products between fashion designers' brands and H&M collaboration collections. The analyses showed the following results: First, the similar color, motive type, motive layout, motive expression, and pattern were found between fashion designers' brands and H&M collaboration collections, in order to show the perspective texture of products to consumers. Second, H&M collaboration brands demonstrated unique textile design of H&M rather than the trendy design patterns. Finally, the textile design pattern used in H&M collection was more restricted in terms of motive expression technique and chromaticity than that used in fashion designers' brands.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1008-1014
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• 2020

Aiming at the defect detection quality of denim fabric, this paper designs an improved algorithm based on the optimized Gabor filter. Firstly, we propose an improved defect detection algorithm of jean fabric based on the maximum two-dimensional image entropy and the loss evaluation function. Secondly, 24 Gabor filter banks with 4 scales and 6 directions are created and the optimal filter is selected from the filter banks by the one-dimensional image entropy algorithm and the two-dimensional image entropy algorithm respectively. Thirdly, these two optimized Gabor filters are compared to realize the common defect detection of denim fabric, such as normal texture, miss of weft, hole and oil stain. The results show that the improved algorithm has better detection effect on common defects of denim fabrics and the average detection rate is more than 91.25%.

• International Commerce and Information Review
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• v.12 no.2
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• pp.3-27
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• 2010

This paper covers a plan to build supply chain cooperation systems among stream of the textile industry to strengthen international competitiveness. To obtain the study objective, it has been reviewed the theoretical rationale relating to organizational cooperation model and discussion and performed the case study that analyzed stream group and participated firms to the textile stream policy project. The analyzed stream cooperative types that measured configuration of cooperative degree and productive type are new market creation, technology improvement, relation maintenance, and relation cease. Two types - new market creation and technology improvement - have significant effect of the textile stream cooperation. Key successful factors of these two effective types are the external intervention of specialized consulting organization and build internal coordination and integrated mechanism to the cooperative stream group and participated firms.

• Fashion & Textile Research Journal
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• v.11 no.4
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• pp.566-573
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• 2009

The purpose of this paper was to collect the information of textile and fashion trade show exhibiting such as the exhibition objectives, trade show selection criteria, reasons for not exhibiting, and exhibition performance. The data were collected from textile and fashion companies which participated in the Preview in Daegu or Seoul Fashion Sourcing Fair, or through the Research Company. The results showed that the most heavily weighted factor among reasons for not exhibiting was "high cost" and the most important exhibiting objective was "identifying the need and the preference of potential customers". "The quality and the quantity of sales lead" was ranked highly among exhibiting selection criteria. Also, the future of exhibition industry was also recognized positively and "effective PR and marketing activities" was assigned high importance among services provided by the organizer.