• Journal of the Korea Fashion and Costume Design Association
• /
• v.22 no.1
• /
• pp.97-111
• /
• 2020

Classifying clothing fabrics into fashion images lacks research, but is necessary due to the short cycle of fashion and rapidly changing modern trends as consumers seek to satisfy various needs with an increase of online purchases. There is also a lack of research on fashion trend books which attach real fabrics. Therefore, this study aims to help the planning field by recognizing fabric sensibility related to the fabric image perceived by consumers. The data analysis results from descriptive statistics, t-test, and ANOVA using SPSS are as follows: Differences in the visual tactility evaluation related to the consumer recognized fabric images showed more significant differences in F/W seasons. The elegance image was shown as relatively thick, the avant-garde image was shown as relatively heavy, thick fabric. The feminine image was shown as relatively thin and smooth fabric, the sporty images were shown to be moist, flexible and elastic, and the mannish images were relatively rough. The romantic images were shown as relatively thin fabrics. The conclusions inferred from the visual tactile evaluation related to the fabric images recognized by consumers vary by major, so the prior information concerning fabrics and trends can affect the selection of images. The results of this study show that in order to produce clothes suitable for fashion product planning by learning about visual tactility that consumers recognize, fabrics component data displayed in fashion trend books from 2016 to 2018 are needed, so the planner can receive help when selecting the fabrics suitable for each trend.

• The Research Journal of the Costume Culture
• /
• v.25 no.6
• /
• pp.819-830
• /
• 2017

This study aims to gather precise information on the real fabric color and texture, and purchasing intention of mobile shoppers buying clothes. Eighty volunteers participated in the sensory test on three smartphones with four colors and two fabrics-smooth taffeta and hairy doeskin. This study carried out the posteriori test using the one-way ANOVA and Duncan test by SPSS21.0. In the analysis' results of color preference, there were no differences among the four colors of taffeta between the smartphones, but different preferences between the red and yellow doeskin exist. In the case of the Samsung phone, which has an immense color distortion, the red fabric has a low color preference. In contrast, on the Apple phone yellow fabric had the highest preference because of its brightness. The Apple phone also has the highest purchasing intention of yellow colored taffeta, which is similar to the color preference results, although the real fabric has the opposite result. For doeskin, the real red and blue colored fabric has the highest purchasing intention. The Samsung phone has the biggest color mismatch with the real fabric. It also has the lowest purchasing intention of red taffeta fabric, while the LG phone has the lowest purchasing intention of blue fabric. Using the paired comparison method of the similarity between 'real' fabrics and the mobile version of fabric colors has a low similarity on all four colors of taffeta and doeskin fabrics. Therefore it can be concluded that phones do not represent the 'real' fabric color.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2002.11a
• /
• pp.535-538
• /
• 2002

InfiniBand is a switched-fabric architecture for next generation I/O systems and data centers. The InfiniBand Architecture (IBA) promises to replace bus-based architectures, such as PCI, with a switched-based fabric whose benefits include higher performance, higher RAS (reliability, availability, scalability), and the ability to create modular networks of servers and shared I/O devices. The switched-fabric InfiniBand consists of InfiniBand subnets with channel adapters, switches, and routers. In order to fully grasp the operational characteristics of InfiniBand architecture (IBA) and use them in ongoing design specification, simulation of subnet management of IBA is inevitable. In this paper, thus, we implement an IBA simulator and test some practical sample networks using it. The simulator shows the flow of operation by which the correctness and effectiveness of the system can be verified.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.121-124
• /
• 2019

가상 화폐 분야의 핵심 기술로 소개된 블록체인(Blockcahin) 기술은 4차 산업혁명에서 중심이 되는 기술로 주목받고 있다. 다양한 산업의 서비스에서 사용하기에는 성능적인 부분에서 고려해야 할 부분이 있다. 본 논문에서는 허가형(permissioned) 블록체인에서 현재 가장 활발하게 기술 확산을 하고 있는 하이퍼레저 패프릭(Hyperledger Fabric)을 중심으로 0.6버전부터 1.2버전까지 관련된 연구들을 조사하였다. 특히 주요한 품질 속성인 성능을 향상하기 위한 Hyperledger Fabric의 기술 동향에 대하여 연구 활동 내용들을 비교 분석하였다.

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

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2019.05a
• /
• pp.442-444
• /
• 2019

Fabric defect classification is an important issue in fabric quality control. However, automated classification is difficult because it is hard to identify various types of defects in images. classification of fabric defects mostly rely on human ability. In this paper, to solve this problem we apply Convolutional Neural Networks (CNN) for fabric defect classification. To make training CNN easier, we propose a method that is manually attentive defect regions in images. we compare the proposed method with the original image and confirm that the proposed method is effective for learning.

• Fashion & Textile Research Journal
• /
• v.17 no.5
• /
• pp.704-717
• /
• 2015

In modern fashion fabrics became an important element that leads the current of fashion beyond materials. Also, it has a creative role that reflects emotional and visual aspects, and it is considered as a mega trend that will lead the $21^{st}$ century fashion industry. The value of fashion products is affected not only by the style and design but also the sensuous properties like color, pattern, texture, and drape of fabrics. Therefore, in this study, characteristics of fabric trend between 2007 S/S and 2010 S/S will be analyzed focused on Premiere Vision, which influenced many Korean fashion trend information companies, while looking into the fabric trends shown in the world's top four collections-Paris, Milan, London, and New York-and Seoul collection, and comparing and analyzing the acceptance level of those. Fashion fabric is an important part in fashion design and change with social environment and value, its considered that the role and importance of subject matters increases in changing fashion design toward globalization by meeting various personality which is diversified more and more. It is to provide specific and practical data to be used for the Korean fashion industry, which can be used as useful information for future fabric researchers and people in the fashion industry for integrated study of fashion design and fashion fabric.

• Science of Emotion and Sensibility
• /
• v.14 no.2
• /
• pp.191-196
• /
• 2011

Fabric extraction force measured through nozzle tester reflects a comprehensive fabric handle. Nozzle tester takes advantage of low cost, and simple and fast operating procedure compared with KES system. The paper is to develop the semi-emprical equation for assessment of the fabric handle measured with nozzle tester on the basis of friction law. The variables considered in the equation arc fabric's frictional coefficient and drape coefficient which is determined in terms of fabric bending length and shear strain. The experiment of 12 different cotton and polyester fabrics and comparisons between experimental and theoretical results were conducted. Fabrics of high frictional coefficients, high bending length, and low shear strain showed high fabric handle forces (low handle values). The handle forces predicted from the equation agreed well with those measured, which indicates that the equation can be used to objectively evaluate fabric handle with respect to fabric's own properties and also provide an information for fabric design to improve the handle performance.

• The Research Journal of the Costume Culture
• /
• v.25 no.4
• /
• pp.519-528
• /
• 2017

Mobile shoppers have encountered frequent color mismatch in the products that they have purchased, as they can only rely on their sense of sight. Therefore, fabric color and color difference recognized by smartphone display during mobile shopping were studied using instrument analysis method. It aimed to gather precise information on actual fabric color understanding of the mobile shoppers purchasing textile products. Three smartphones were selected from LG, Samsung, and Apple companies, and four colors were researched (red, yellow, green and blue) to both polyester and wool test fabrics for color analysis though color measuring instruments. The results from the spectrophotometer indicated that the color coordinate location of smartphone fabric color is similarly distributed regardless of the type of fabric. The Samsung smartphone displays a relatively high color chroma (especially on red-colored fabric) regardless of the type of fabric due to a high color reproduction range. In contrast, the LG smartphone, which has high color temperature, displays high color chroma on the blue colored fabric with a significant color mismatch between the actual fabric color and smartphone fabric color. From the results of this study, issues related to mobile shopping can be addressed through an analysis of the products sold, the smartphone's color representation, and user understanding.

• Proceedings of the IEEK Conference
• /
• 2002.07b
• /
• pp.1176-1179
• /
• 2002

This paper presents the use of a Genetic Algorithm to find the optimal layout for the placement of garment patterns on a fabric of fixed width to minimize fabric waste. We developed a program to simulate garment pieces and their layout on a fixed-width fabric. Each piece in the order book is placed with 2 possible orientations: 0 degrees and 180 degrees. The efficiency is measured by the length of fabric used after all the patterns in the order book have been laid out. A comparison is made between the placement using our proposed genetic algorithm to that made by an expert human using our simulation program. The results from our experiments on various pattern designs indicate that our genetic algorithm can effectively be used to obtain highly efficient solutions, comparable to that done by an expert while using a reasonable amount of time. The algorithm can also be adapted for use in other areas related to optimal consumption of sheet material such as metal, paper, and leather.