• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.597-605
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• 2019

This paper examined the garment formability and appearance of perspiration absorption, fast dry, and breathable fabrics. The mechanical properties and seam pucker properties of these fabrics were measured and regression analysis was conducted between fabric structural parameters and their mechanical and seam pucker properties. The superior total appearance value (TAV) of fast dry knitted fabrics for sports-wear was achieved in fabrics with high extensibility and bending rigidity; consequently, it increased with increasing stitch density and tightness factor. The formability of the fast dry knitted fabric also improved with an increasing stitch density and tightness factor. The seam pucker was influenced by bending rigidity and a good seam pucker was exhibited in the fast dry knitted fabrics with low stitch density and tightness factor. However, the formability (F) of the breathable fabric improved by increasing extensibility and bending rigidity that decreased with an increasing cover factor and the thickness of the breathable fabric. In addition, seam pucker deteriorated with an increasing cover factor and the thickness of the breathable fabric, which was similar to the results of the formability predicted in fabric mechanical properties. A superior seam pucker was achieved in fabrics with high extensibility and low bending rigidity.

• Journal of the Korean Institute of Gas
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• v.19 no.2
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• pp.45-53
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• 2015

In order to improve the performance of the visual inspection process, in addition to existing automatic visual inspection machine and human inspectors have developed a new process configuration using a Naive Bayes classifier. By applying the classifier, defect leakage and human inspector's work amount could be improved at the same time. New classification method called AMPB was applied instead of conventional methods based on MAP classification. By experimental results using the filter product for camera modules, it was confirmed that it is possible to configure the process at the level of leakage ratio 1.14% and human inspector's work amount ratio 75.5%. It is significant that the result can be applied in such a wide range as gas leak detection which is the collaboration process between inspection machine and human inspector's

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.7
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• pp.1193-1202
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• 2001

The goal of this research is to investigate the effect of fusible interlinings on the mechanical characteristics and appearance related values for the Lyocell fabrics. In this study, to establish optimum fusing conditions, peel strength of the fused fabrics depending on the fusing temperature, pressure and time was measured. Appearance related properties and mechanical characteristics of the fused fabrics ere determined. The reulst are as follows: In the fusing condition of $120^{\circ}C,\;3kgf/textrm{cm}^2$, 15sec, peel strength was excellent. Peel strength was excellent in the case of tencel/cotton fabric, with increasing cover factor of woven interlining, with twill and nonwoven interlining. Flex stiffness was increased in the case of tencel/cotton fabric, with increasing weight of woven interlining, with twill and nonwoven interlining. Drapability was excellent in the case of 100% tencel fabric, with decreasing weight of woven interlining, with plain and woven interlining. Crease recovery was excellent in the case of 100% tencel fabric, with increasing weight of woven interlining, with twill and woven interlining. Shear and bend properties were increased in the case of tencel/cotton fabric, with increasing weight of woven interlining, with plain and nonwoven interlining.

• Journal of the Institute of Convergence Signal Processing
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• v.1 no.1
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• pp.89-96
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• 2000

In this paper, we propose a vision algorithm for the inspection of very small RF-chip inductor which is used in mobile-communication terminal. The proposed method divides coil part from the inductor body by local adaptive thresholding and integral projection method. After dividing work, the coil components are extracted by thinning and labelling techniques. The test items are the number of turns, the intervals in coil, and the measure of uniformity between the extracted lines. If the values of these are more than the specific value a tested product is decided bad one. In the simulation, the proposed method has a good performance.

• Journal of the Korean Home Economics Association
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• v.40 no.7
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• pp.15-24
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• 2002

In this work, the effect of fusible interlining on the appearance related properties and mechanical characteristics of Lyocell fabric after fusing was investigated. Two different types(20's and 10's) of Lyocell face fabric with six different interlining(by thickness and structure) for earth Lyocell fabric were examined. In order to establish the optimum fusing condition for the different face fabric and interlining, peel strength of each fused fabric was measured, which was dependent on the fusing temperature, pressure, and time. The characteristics related appearance and mechanical characteristics of each fused fabric were determined. The results are as follows: The peel strength was excellent, when the fabric was fused with the force of 3kgf/$textrm{cm}^2$ at $120^{\circ}C$ for 15seconds. Flex stiffness, G, 2HG, 2HG5(shear), B, 2HB(bending) of 100% Lyocell fabric 10's were higher than those of 100% Lyocell 20's. Flex stiffness, crease recovery, G, 2HG, B, 2HB of thicker woven interlining were higher than those of thinner woven interlining. Crease recovery of twill interlining were higher than those of plain interlining. In case of shear and bending properties, however, plain interlining was higher than twill interlining. Flex stiffness, crease recovery, G, 2HG, 2HG5, B, 2HB of nonwoven interlining were higher than those of woven interlining. In case of drapability, however, woven interlining was higher than nonwoven interlining.

• Fashion & Textile Research Journal
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• v.8 no.5
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• pp.591-596
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• 2006

In order to analyze the tailorbility of different fabrics for men's suit, FAST system has been used for measuring the distribution of mechanical properties in this study. As results, cashmere mixed woolen fabrics showed the minimum degree in relaxation shrinkage, formability, and shear rigidity than any other fabrics, and also showed more than 6% as maximum level of extensibility. Thus, cashmere mixed woolen fabrics requires careful tailoring in lay-out, marking, and cutting. It is necessary to establish new tailoring criteria for automatic sewing with cashmere mixed woolen fabrics than any other fabrics, because they show more failure rate of tailorbility. There have been noticeably more variation of shrinkage and extension for woolen fabrics with cashmere mixed than 100% woolen fabrics by evaluating the formability of the suits when these are completed to suits through cutting and tailoring from fabrics. Especially nylon mixed woolen fabrics showed shrinkage overall, but polyester mixed woolen fabrics showed extension at waist area. Thus, it is necessary to adjust the appropriate overfeed rate considering the amount of shrinkage and extension while tailoring.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1076-1077
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• 2015

본 연구에서는 최근 널리 사용되고 있는 QFP(Quad Flat Package)의 소형화 및 대량 생산 Quad chip 공정에서 최종 외관 불량 검사를 위한 기존의 2D 영상 검사 시스템에 3D 영상 검사 시스템을 추가하여 광학 장치를 설계하고 이에 따른 영상처리 알고리즘을 개발하였다. 개발된 검사 장치는 실제 LQFP/TQFP에 생산 공정에 적용되어 불량을 검사에 적용하였으며, 10 회 반복 측정 시 최대 오차는 $1.34{\mu}m$와 측정 오차의 표준편차가 $0.715{\mu}m$으로 요구하는 3차원 불량 검사를 만족할 만한 성능을 보였다.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1683-1689
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• 2006

Precedent researches on lyocell are mostly on lyocell structure, characteristics, physical properties by finishing and dyeability, and the like; there are little cases of researches on interlining for lyocell clothes production. To serve as a base information helpful to select fusible interlining and improve the efficiency of sewing process considering the characteristics of lyocell, this study performed t-est, F-test toward to the difference in the appearance-related properties and the mechanical properties of lyocell-interlining bonded fabric in accordance with the characteristics of fusible interlining and lyocell face fabric. This study reached following conclusions. Drapability and Crease recovery of lyocell-interlining bonded fabric are influenced by the structure of fusible interlining; stiffness of lyocell-interlining bonded fabric, by the structure of fusible interlining and the yam number of lyocell face fabric. WT is influenced by the mixture rate and yam number of lyocell face fabric. RT is influenced by the yam number of lyocell face fabric; G, 2HG, 2HG5, by the structure(woven and non-woven) of fusible interlining; B, HB, by the weight, structure(woven and non-woven) of fusible interlining, and yam number of lyocell face fabric; WC, by the weight, structure of fusible interlining; RC, by the structure of fusible interlining; thickness, by the weight of fusible interlining and the yarn number of lyocell face fabric; weight, by mixture rate and yam number of lyocell face fabric.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.834-841
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• 2022

Recently, applying artificial intelligence technologies in various fields of production has drawn an upsurge of research interest due to the increase for smart factory and artificial intelligence technologies. A great deal of effort is being made to introduce artificial intelligence algorithms into the defect detection task. Particularly, detection of defects on the surface of metal has a higher level of research interest compared to other materials (wood, plastics, fibers, etc.). In this paper, we compare and analyze the speed and performance of defect classification by combining machine learning techniques (Support Vector Machine, Softmax Regression, Decision Tree) with dimensionality reduction algorithms (Principal Component Analysis, AutoEncoders) and two convolutional neural networks (proposed method, ResNet). To validate and compare the performance and speed of the algorithms, we have adopted two datasets ((i) public dataset, (ii) actual dataset), and on the basis of the results, the most efficient algorithm is determined.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.65-68
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• 2021

본 연구에서는 Dilated U-Net 기반의 이미지 복원기법을 통해 콘크리트 균열 추출 성능 개선 방안을 제안한다. 콘크리트 균열은 구조물의 미관상의 문제뿐 아니라 추후 큰 안전사고의 원인이 될 수 있어 초기대응이 중요하다. 현재는 점검자가 직접 육안으로 검사하는 외관 검사법이 주로 사용되고 있지만, 이는 정확성 및 비용, 시간, 그리고 안전성 면에서 한계를 갖고 있다. 이에 콘크리트 구조물 표면에 대해 획득한 영상 처리 기법을 사용한 검사 방식 도입의 관심이 늘어나고 있다. 또한, 딥러닝 기술의 발달로 딥러닝을 적용한 영상처리의 연구 역시 활발하게 진행되고 있다. 본 연구는 콘크리트 균열 추개선출 성능 개선을 위해 Dilated U-Net 기반의 이미지 복원기법을 적용하는 방안을 제안하였고 성능 검증 결과, 기존 U-Net 기반의 정확도가 98.78%, 조화평균 82.67%였던 것에 비해 정확도 99.199%, 조화평균 88.722%로 성능이 되었음을 확인하였다.