• Science of Emotion and Sensibility
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• 제20권4호
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• pp.55-64
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• 2017

This study was performed to help the denim fabric planning which reflects the sensibility preference of university students. Objective characteristics, like color properties and mechanical properties, in 8 denim fabrics (5 cotton 100% fabrics and 3 cotton/polyurethane blended fabrics) were evaluated. And the color preference, subjective sensation and tactile preference of denim fabrics were investigated among the university students. The effect of color preference and tactile preference of denim fabrics on the purchase preference of denim slacks was also examined. Color preference of denim fabrics showed a significant difference according to the kind of denim fabrics. University students preferred purple blue denim fabrics that was measured low $-b^*$ value and low $C^*$ value among the color properties of denim fabrics. Among the mechanical properties of denim fabrics, surface property like MMD, MIU and SMD as well as shear property like 2HG5 were important elements affecting subjective sensation. While, tactile preferences showed a significant difference according to the fabrics. The tactile preferences of cotton/polyurethane blended denim fabrics was highly preferred, and that of heavy 100% cotton denim fabric was lowly preferred. And the subjective sensation affecting tactile preferences were in order of smoothness, softness, lightness. It is concluded that the color preference and tactile preference influenced upon the purchase preference of denim slacks, and color preference had a bigger effect upon the purchase preference.

• Smart Media Journal
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• 제12권7호
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• pp.43-51
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• 2023

As online transactions increase, the image of clothing has a great influence on consumer purchasing decisions. The importance of image information for clothing materials has been emphasized, and it is important for the fashion industry to analyze clothing images and grasp the materials used. Textile materials used for clothing are difficult to identify with the naked eye, and much time and cost are consumed in sorting. This study aims to classify the materials of textiles from clothing images based on deep learning algorithms. Classifying materials can help reduce clothing production costs, increase the efficiency of the manufacturing process, and contribute to the service of recommending products of specific materials to consumers. We used machine vision-based deep learning algorithms ResNet and Vision Transformer to classify clothing images. A total of 760,949 images were collected and preprocessed to detect abnormal images. Finally, a total of 167,299 clothing images, 19 textile labels and 20 fabric labels were used. We used ResNet and Vision Transformer to classify clothing materials and compared the performance of the algorithms with the Top-k Accuracy Score metric. As a result of comparing the performance, the Vision Transformer algorithm outperforms ResNet.

• Korea Science and Art Forum
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• 제30권
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• pp.119-127
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• 2017

Multi-cultural societies in the era of globalization are now common phenomena all over the world. Since our country has already entered into a multi-cultural society, we can no longer stay in the ideology of a single nation. However, current national policies and researches related to multi-cultural society in Korea are limited to institutional aspects and unilateral education of Korean culture. Therefore, this study aims to overcome these practical limitations. The purpose of this study is to acquire design resources in the folk paintings reflecting the culture of each country. And We will develop textile design content that can be applied to most closely related textile products in daily life. Through this, it is aimed to raise awareness of various cultures and to suggest a communication method through cultural exchange. Therefore, this study has developed color and textile pattern design contents through analysis of characteristics of China, Vietnam, and Japan peoples of the three most frequent countries based on the status of domestic marriage immigrants. And tried to apply it immediately to various textile products. The results and contents of the study are as follows. First, the domestic multi-cultural society was formed through international marriage, and the largest number of marriage immigrants came from China, Vietnam, Japan, the Philippines, Cambodia, Thailand, Mongolia and others. Second, folk paintings are suitable for developing textile design contents as an important factor implied by different cultures of different countries. Thirdly, we have developed the pattern and coloring DB and textile pattern design contents by using folk paintings of China, Vietnam and Japan. As a result, we could verify the utilization of contents reflecting the cultural characteristics of each country and the possibility of commercialization. Based on the results of this research, we hope to contribute to the harmonization of the emotional and artistic aspects that naturally share the culture among multi-cultural society members and to develop differentiated related products.

• Korean Journal of Food Science and Technology
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• 제37권5호
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• pp.768-775
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• 2005

Lentinus edodes powder was added at 1-3%(w/w) to improve functional properties of jocheong. Content of crude protein, ash, crude lipids, total mineral, free sugar and reducing sugar increased with increasing amount of L. edodes powder, while viscosity and solid and carbohydrate contents decreased. Through amino acid analysis, 17 amino acids were identified and quantified, glutamic acid being the major amino acid. No significant differences were observed in fatty acid composition and pH between control and L. edodes powder-added jocheong. Addition of mushroom powder in jocheong decreased lightness, yellowness and redness in Hunter's color value. Sensor score of jucheong containing 1% of L. edodes powder was similar to that of control. Results showed jocheong containing less than 2% L. edodes powder gave highest scores in quality characteristics and sensory evaluation.