• Korean Journal of Human Ecology
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• v.15 no.3
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• pp.397-404
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• 2006

The purpose of this study is to analyze the subjective sensations and preference for spring/fall casual cotton shirt fabrics, and to assist in developing shirt fabrics that offer maximum comfort in wearing sensation. The subjects of this study were male and female college students who assessed the tactile sensation of seven types of spring/fall shirt fabrics available on the market: plain weave and rib weave made of cotton and that of cotton mixed fabrics. The subjects were university students between the ages of 20 to 23, who were residing in the city of Cheongju, Korea. The questionnaires related to the fabrics hand were evaluated using a nine point bi-polar scale of 9 descriptive terms. Mean, t-test, F-test and $X^2$ were used for data analysis. The fabric hand evaluation on the seven types of shirts showed a significant difference in all of the 9 descriptive terms. There were partially significant differences in the subjective sensations according to fabric characteristics regarding shirt fabrics. As regards the difference in fabric hand according to gender, female students responded with more receptiveness and sensitivity than male students in the category of woven fabric evaluation. In particular, female students responded with more sensitivity to the sensation of dense and wrinkle sensations. There were significant differences in the purchase preference according to gender regarding casual shirt fabrics. Plain weave fabrics made of cotton was most preferred among male students, whereas rib weave fabrics made of cotton/polyester was most preferred among female students.

• The Research Journal of the Costume Culture
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• v.17 no.4
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• pp.723-732
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• 2009

The quick response(QR) system is very popular in Korean apparel companies. However, the usage of QR system was not known well. The purpose of this study is to identify the usage of the quick response decision support system(QR DSS) and postponement manufacturing in the Korean apparel company. The researched company was the only one which used the QR DSS. The researchers carried out the depth interview with the QR decision makers of the company. This company had 14 brands, and had used the QR DSS since January, 2008. The results are as follows: The QR DSS was supportive computer software program, and it helped the staffs to make agile decision about QR repeat production of clothing. The QR DSS automatically calculated the related data, and suggested the expected sales volume and the proper supply amounts of the styles. There were four functions in QR DSS : 'QR Alert', 'Proper Supply Amount Simulation', 'Sensible QR', and 'Supply/Sales Simulation by Item'. The men's clothing brands effectively used 'Supply/Sales Simulation by Item' function. And the women's clothing brands effectively used 'QR Alert' function. This company also used the postponement production system for QR repeat production. The postponement production was conducted with four methods : the yarn stocking, the grey fabric stocking, the dyed fabric stocking, and the fabric sourcing. The men's clothing brands usually used of the yarn stocking methods and the dyed fabric stocking methods. The women's clothing brands usually used the grey fabric stocking methods. By using QR DSS and postponement production system the company was able to shorten the lead time for QR decision making.

• Journal of Fashion Business
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• v.23 no.3
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• pp.67-84
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• 2019

Since the early 2000s, various fashion design products that use 3D printing technology have constantly been introduced to the fashion industry. However, given the nature of 3D printing technology, the flexible characteristics of material of textile fabrics is yet to be achieved. The aim of this study is to develop the optimal design conditions for production of flexible and elastic 3D printing fabric structure based on plain weave, which is the basic structure in fabric weaving using SLS 3D printing technology. As a the result this study aims to utilize appropriate design conditions as basic data for future study of flexible fashion product design such as textile material. Weaving structural design using 3D printing is based on the basic plain weave, and the warp & weft thickness of 4mm, 3mm, 2mm, 1.5mm, 1mm, and 0.7mm as expressed in Rhino 6.0 CAD software program for making a 3D model of size $1800mm{\times}180mm$ each. The completed 3D digital design work was then applied to the EOS SLS Machine through Maker ware, a program for 3D printer output, using polyamide 12 material which has a rigid durability strength, and the final results obtained through bending flexibility tests. In conclusion, when designing the fabric structure design in 3D printing using SLS method through application of polyamide 12 material, the thickness of 1 mm presented the optimal condition in order to design a durable digital textile structure with flexibility and elasticity of the 3D printing result.

• Proceedings of the Korean Fiber Society Conference
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• 2003.04a
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• pp.255-258
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• 2003

합섬소재를 이용한 의류용 직물설계1)에 있어 원료의 특성과 경ㆍ위사의 번수, 직물의 조직 및 밀도에 따른 직물설계 조건$^{2)}$ 은 다양하게 변할 수 있다. 그럼에도 불구하고 현장에서 적용할 수 있는 이론적 배경과 실제 현장에서 적용할 수 있는 데이터는 미흡한 수준이다. 따라서 다품종 소량 생산 체제에 대비하는 다양한 소재의 설계에 필요한 Data Base 구축이 필요한 실정$^{3)}$ 이다. 본 연구는 직물용 CAD System에서의 합섬 의류용 직물설계에 응용 가능한 DB를 구축하기 위해 국내 직물설계$^{4)}$ 와 일본 직물설계$^{5}$)를 비교하여 국내직물의 수준을 향상시킬 목적으로 실제 현장에서 사용되고 있는 각각 100여 종류의 직물설계조건들을 조사ㆍ분석하여 국내와 일본 직물설계를 비교함으로써 감성 의류용 합섬 소재 설계에 있어 체계적인 지표가 되고 보다 우수한 품질을 위한 직물설계의 기초자료를 제공함으로써 현업에 있는 업체와 기관에 도움을 주고자 한다. (중략)

• Journal of Internet Computing and Services
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• v.8 no.5
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• pp.161-170
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• 2007

The proposed switch which has separated data plane and switching plane can make parallel processing for packet data storing, memory address pointer switching and simultaneously can be capable of switching the variable length for IP packets. The proposed architecture does not require the complicated arbitration algorithms in VOQ, also is designed for QoS of generic output queue switch as well as input queue. At the result of simulations, the proposed architecture has less average packet delay than the one of the memory-sharing based architecture and guarantees keeping a certain average packet delay in increasing switch size.

• Korean Journal of Human Ecology
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• v.4 no.2
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• pp.110-122
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• 2001

The purposes of this study was to examine the present situation of merchandise assortment and informations in internet fashion shopping mall. Merchandise assortment dimensions were width and depth. Merchandise assortment factors for apparel were style, size, and color. Merchandise informations were investigated using price and fabric contents. The data were collected from 11 internet fashion site to investigate styles. colors, sizes. price and fabric contents. The data analysed with frequency. crosstab analysis, $\chi$$^{2}$-test. The results were as follow : 1. Upper items(37.5%) as T, knits, shirts, and blouses were offered more style than bottom items(13.5%) as skirts, pants. 2. The 36.4% of styles offered one color. Basic color as black, white, grey, beige, ivory was 38.1%. 3. The 54.4% of merchandises carried same size. 4. Fiber contents was made up of cotton(44.2%). hemp & rayon(22.5%), and synthetic (33.3%). 5. The 75.1% of merchandise was relatively low price of below 50,000 won, the 24.9% of merchandise was rather high price of more than 50.000 won.

• Structural Engineering and Mechanics
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• v.70 no.2
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• pp.133-141
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• 2019

The aim of the present paper is to present the cyclic behavior of strengthened reinforced concrete shear wall test specimen, which was reinforced with cold drawn welded wire mesh fabric. Two reinforced concrete shear wall specimens have been tested in the present study. The walls were tested under reversed cyclic loading with loading applied near the tip of the walls. The control wall is tested in its original state to serve as a baseline for the evaluation of the repair and strengthening techniques. The two test specimens include a control wall and a repaired wall. The control wall test specimen was designed and detailed to simulate non-ductile reinforced concrete shear walls that do not meet the modern seismic provisions. The response of the original wall was associated with the brittle failure. The control shear wall was repaired by addition of the reinforcements and the concrete and then it was reloaded. The effectiveness of the repair technique was investigated. Test results indicate that there can be a near full restoration of the walls' strength. The data from this test, augmenting other data available in the literature, will be useful in calibrating improved analytical methods as they are developed.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.155-157
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• 2024

Internet of Things (IoT) integrated with the Blockchain is the state of the art for keen cultivation and agriculture. Recently the interest in agribusiness information is enlarging owing to the fact of commercializing the smart farming technology. Agribusiness information are known to be untidy, and experts are worried about the legitimacy of information. The blockchain can be a potential answer for the expert's concern on the uncertainty of the agriculture data. This paper proposes an Agri-Banana plant system using Blockchain integrated with IoT. The system is designed by employing IoT sensors incorporated with Hyperledger fabric network, aims to provide farmers with secure storage for preserving the large amounts of IoT and agriculture data that cannot be tampered with. A banana smart contract is implemented between farmer peer and buyer peer of two different organizations under the Hyperledger fabric network setup aids in secure transaction of transferring banana from farmer to buyer.

• Journal of Aerospace System Engineering
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• v.10 no.4
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• pp.1-10
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• 2016

This study analyzes the fabric skin of a wind turbine blade. The fabric skin is a membrane structure that was analyzed using a static Fluid Structure Interaction (FSI) method. For this study the blade of large 5 MW wind turbine was selected. In order to examine the validity of the analysis, a variety of reference data were used. Before conducting static FSI analysis, a Computational Fluid Dynamics (CFD) analysis and modal analysis were done. Then interaction analysis was conducted. FSI analysis was done with imported Aerodynamic data that resulted from the CFD analysis. The resulting observations about the membrane structure, inherent tensions, deformation of the final structure, and aerodynamic forces caused by deformation are reported.

• Journal of the Korea Computer Graphics Society
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• v.26 no.5
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• pp.15-24
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• 2020

We present a supervised learning method that estimates the simulation parameters required to simulate the fabric from the static drape shape of a given fabric sample. The static drape shape was inspired by Cusick's drape, which is used in the apparel industry to classify fabrics according to their mechanical properties. The input vector of the training model consists of the feature vector extracted from the static drape and the density value of a fabric specimen. The output vector consists of six simulation parameters that have a significant influence on deriving the corresponding drape result. To generate a plausible and unbiased training data set, we first collect simulation parameters for 400 knit fabrics and generate a Gaussian Mixed Model (GMM) generation model from them. Next, a large number of simulation parameters are randomly sampled from the GMM model, and cloth simulation is performed for each sampled simulation parameter to create a virtual static drape. The generated training data is fitted with a log-linear regression model. To evaluate our method, we check the accuracy of the training results with a test data set and compare the visual similarity of the simulated drapes.