• Textile Coloration and Finishing
• /
• v.17 no.5 s.84
• /
• pp.26-36
• /
• 2005

This study was carried to evaluate mechanical characteristics of Poly(ethylene terephthalate) fabrics (by Kawabata evaluation system(KES)) which was systematically treated with $O_2$ low temperature plasma and chitosan acetate solution. Furthermore, surface structure was investigated by SEM, AFM, air permeability and wettability. Tensile energy(WT), shear rigidity(G) and surface roughness(MIU) properties calculated by KES-FB have increased with increasing plasma treatment time, while bending rigidity(G) and energy of compression(WC) value were decreased compared with those of the untreated. SEM photographs showed the identification of chitosan coating but did not confirm the plasma etching structure. Air permeability was decreased according to plasma treatment time with increasing concentrations of chitosan. The water absorption rate made rapid progress by chitosan treatment.

• Journal of Korean Electronics
• /
• v.27 no.10
• /
• pp.8-17
• /
• 2007

• Journal of Astronomy and Space Sciences
• /
• v.30 no.3
• /
• pp.127-132
• /
• 2013

Here we review the effort of Fermi Asian Network (FAN) in exploring the supernova remnants (SNRs) with state-of-art high energy observatories, including Fermi Gamma-ray Space Telescope and Chandra X-ray Observatory, in the period of 2011- 2012. Utilizing the data from Fermi LAT, we have discovered the GeV emission at the position of the Galactic SNR Kes 17 which provides evidence for the hadronic acceleration. Our study also sheds light on the propagation of cosmic rays from their acceleration site to the intersteller medium. We have also launched an identification campaign of SNR candidates in the Milky Way, in which a new SNR G308.3-1.4 have been uncovered with our Chandra observation. Apart from the remnant, we have also discovered an associated compact object at its center. The multiwavelength properties of this X-ray source suggest it can possibly be the compact binary that survived a supernova explosion.

• Journal of Fashion Business
• /
• v.17 no.6
• /
• pp.28-43
• /
• 2013

Recent trends toward the collaborations among various sectors of academia and research areas have brought interests and significances in new activities especially in the fashion and textile areas. One of the collaboration examples is the recent research projects on 3D virtual clothing systems based on the 3D CAD software. The 3D virtual clothing systems provide simulated apparels with high degrees of fidelity in terms of color, texture, and structural details. However, since real fabrics exhibit strong nonlinearity, anisotropy, viscoelasticity, and hysteresis, the 3D virtual clothing systems need fine tuning parameters for the simulation process. In this study, characteristics of silk fabrics, which are woven by using degummed silk and raw silk yarns, are being analyzed and compared. Anisotropic properties may be measured as warp and filling direction properties separately in woven fabrics, such as warp tensile stress or filling bending rigidity. Hysteretic properties may be measured as bending hysteresis or shear hysteresis by using KES measurements. These data provide deformation-force relationships of the fabric specimen. Three-dimensional effects obtained when using these characteristic fabrics are also analyzed. The methods to control the three-dimensional appearance of the sewn fabric specimens when utilizing a programmable microprocessor-based motor device, as prepared in this study, are presented. Based on the physical and mechanical properties measured when using the KES equipment, the property parameters are being into a 3-dimensional virtual digital clothing system, in order to generate a virtual clothing product based on the measured silk fabric properties.

• Journal of Fashion Business
• /
• v.17 no.3
• /
• pp.30-47
• /
• 2013

In the modern fashion industry, efficiency has been increasing thanks to development of computer graphics, IT technology, and digitalization. Unlike the past when fashion design heavily depended on handwork, digitalization of fashion industry makes fabrication time shorter and enables designers to adopt comprehensive expression, generating high value-added product. The Apparel CAD, an example of the digitalized fashion industry, has been developed from 2D system into a system providing 3D simulation. Digital clothing can be determined as an activity of designers using the tool in order to fabricate pattern and simulate its designed clothes in the virtual space of computer. In this study, physical properties of eight materials, which can be utilized on a par with current fashion trend, have been specified. For more sophisticated investigation, external appearance of the material was investigated by 3D scanning. In order to examine the physical properties of fabric specimens, KES(Kawabata Evaluation System) measurements and other physical property measurements were made. With the results, virtual material and clothes were simulated via CLO 3D, one of 3D apparel CAD systems. Then, virtual fabrics and clothes of similar types were generated and analyzed.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.12 no.12
• /
• pp.2286-2292
• /
• 2008

In this paper, we design a RS(23,17) decoder for MB-OFDM(Multiband-Orthogonal Frequency Division Multiplexing) system, in which Modified Euclidean(ME) algorithm is adopted for key equation solver block. The proposed decoder has been optimized for MB-OFDM system so that it has less latency and hardware complexity. Additionally, we have implemented the proposed decoder using Verilog HDL and synthesized with Samsung 65nm library. From synthesis results, it can operate at clock frequency of 250MHz, and gate count is 20,710.

• Fashion & Textile Research Journal
• /
• v.17 no.4
• /
• pp.613-625
• /
• 2015

This research was conducted to provide basic data to improve expressivity required for virtual clothing to replace actual clothing. For the experiment, 6 materials were selected and 12(2 kinds of length) actual flared skirts were made. At the same time, simulations were carried out on OptiTex Runway 12.0 for 36(12 kinds of skirts $\times$ KES, FTU, KES weight/10) kinds of virtual flared skirts, which were applied with the measured property values (thickness, weight, bending, shear, friction, and stretch). Also, the study compared and analyzed the wearing images, silhouette overlapping images, and skirt length measurements of the actual and virtual skirts put on a dummy. As a result, the actual skirts showed clear distinction for each material. In contrast, virtual 1 and 2 expressed fabric 3 in the most similar way, but could not recreate the uniform, soft, and natural flare shape of the actual skirts in general. Virtual 3 formed natural flares as those of the actual skirts, and expressed fabric 1, 5, and 6 in a similar way. However, virtual 3 had too much volume and barely showed any distinction for each material. All of virtual 1, 2, and 3 expressed different flare shapes on the front and back sides of the skirt similarly to the actual skirts, and had a good visual expression for the color and texture of the materials. However, they could not effectively express the elasticity and fabric sagging in the bias direction.

• Science of Emotion and Sensibility
• /
• v.2 no.1
• /
• pp.157-168
• /
• 1999

슈트용 직물을 대상으로 직물이 스치는 소리를 재현하여 이를 녹은하고 FFT 분석을 통하여 얻은 음향 스펙트럼을 기초로 음색을 정량화할 수 있는 요인을 개발하여, 음색 요인과 KES system에 의해 측정한 직물의 물리적 성진 간의 관계를 고찰하고자 하였다. 직물 소리의 음향 스펙트럼을 기초로 하여 최고 음압과 최저 음압의 차이인 ΔL과 최고와 최저 음압에 해당되는 주파수 간 차이인 Δf, 총음압 LPT의 세가지 요인을 음색 요인으로 정하여 각 직물의 음색 요인 값을 추출하였고, KES를 이용하여 각 직물의 17개의 물리적 성질의 수치를 구하였다. 세 가지 음색 요인과 직물의 물리적 성질 간의 상관관계에서 ΔL은 직물의 인장 회복력과 두께와 유의적인 상관관계를 Δf는 직물의 인장 선형성화 전단성질, 압축에너지, 무게와 유의적인 상관관계를 보이며, LPT는 최대하중시 신장성, 인장 선형성, 인장 에너지와 유의적인 상관관계를 보이는 것으로 나타났다. 세 가지 음색 요인과 직물의 물리적 성질 간의 단계별 희귀관계에서는 LPT가 직물의 물리적 성직(EM, MIU, RC, LT)에 의해 가장 잘 설명되는 것으로 나타났다. 이와 같은 결과를 바탕으로 본 연구에서 시도한 절량화된 음색은 직물의 물리적 성질과 유의한 관계를 가짐을 확인하였다.

• Fashion & Textile Research Journal
• /
• v.17 no.5
• /
• pp.854-861
• /
• 2015

This study evaluates the objective and subjective hand as well as the preference for hand and outdoor jackets on laminated waterproof breathable fabrics with different constituent characteristics to identify those best suited for consumer needs. Mechanical properties and objective hands were measured by the KES-FB system. The subjective hand and the preference of laminated waterproof breathable fabric for outdoor jackets were rated by the 20's and 30's women experts with tactile and visual senses that utilized a questionnaire with a seven-point semantic differential scale; subsequently, the flexibility and compressive elasticity of laminated waterproof breathable fabrics were low. However, light and thin waterproof breathable fabrics with a smooth surface had high scores in smoothness, fullness & softness and total hand value. In addition, laminated waterproof breathable fabrics were classified into three hand factors: flexibility, density, and surface properties. There were significant differences on flexibility and surface property perceptions, hand and out-door jackets preferences according to the characteristics of waterproof breathable fabrics. The hand preference of the laminated waterproof breathable fabric improved with decreasing 2HB and increasing EM. However, EM showed positive effect for outdoor jacket preferences. Those that were flexible and smooth were preferred for outdoor jackets.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2001.05a
• /
• pp.280-285
• /
• 2001

폴리우레탄 코팅포의 촉감을 예측하기 위하여 신경망 이론이 사용되었다. 본 연구에서는 Neural Connection의 MLP(Multi Layer Perceptron)를 신경망 분석에 사용하였으며, 학습 알고리즘은 백프로파게인션(Backpropagation)을 이용하였다. 사용된 변수는 KES-FB시스템에서 측정된 17가지 역학적 특성치를 설명변수, 촉감치를 목표변수로 하였다. 폴리우레탄 코팅포의 촉감을 정확하게 예측할 수 있는 신경망 모델을 찾기 위해, 은닉층의 노드수를 8에서 34로 변화시켜 보았다. 또한 MLP적용함수로 선형함수, 비선형 시그모이드함수, 탄젠트 함수를 사용하여 목표변수를 예측하여 모형의 정확도를 살펴보았다. 구축된 신경망모델은 17가지 역학적특성치 자료를 이용하여 학습되었으며 학습 완료 후 학습에 사용되지 않은 시료를 시스템에 적용하여 학습된 신경망 시스템이 촉감을 평가하게 한 후 주관적으로 평가된 촉감치와 비교하여 본 시스템의 판단의 정확성을 평가하도록 하였다. 은닉층의 노드수와 MLP적용함수는 촉감예측에 영향을 미치는 것으로 나타났는데, 촉감 예측에 가장 적절한 모형은 MLP 적용함수가 탄젠트 함수이고 노드수가 22인 것으로 나타났다. 신경망을 통한 폴리우레탄 코팅포의 촉감 예측력은 선행연구에서 이용된 통계적 방법보다 높게 나타나 폴리우레탄 코팅포의 촉감예측에 신경망의 이용은 효과적인 것으로 밝혀졌다.