• Title/Summary/Keyword: Korean textile industry

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Analysis of Difference between Direct Measurement and 3-D Automatic Measurement According to Classification of Side Figure of Elderly Women (고령 여성의 측면체형 분류에 따른 직접측정치와 3차원 자동측정치간의 차이 분석)

  • Chung, Juwon;Nam, Yun-Ja;Park, Jinhee
    • Fashion & Textile Research Journal
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    • v.21 no.5
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    • pp.627-639
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    • 2019
  • This study analyzes differences between the results of 3D direct measurements and automated measurements for Korean elderly females according to age groups, side somatotype, and BMI groups. This study compares the measurement differences of the direct and the 3D automated measurements for women between the ages of 70 to 85, according to age group, BMI group, and side somatotype. A comparison of the results of the direct measurement and the 3D automated measurements for elderly women show that a meaningful discrepancy exists for 29 items out of 33 items. Furthermore, the results of comparing the average error tolerance recommended by ISO20685 shows that 30 items out of 33 items exceeded ISO recommendations. The results of the automated measurement program shows a higher degree of accuracy for straight postures; however, this unsuitable for postures of elderly women with a changed somatotype. The analysis results of the measurement difference indicate the suitability of the automatic measurement programs is found to be high for stood postures, while problems seem to exist on several items along with an automated program is not appropriately used due to posture and part of body changes for elderly women. Therefore, it is recommended to develop an algorithm, that reflects the body changes of elderly women first and then upgrade the automated program equipped with a measurement size method. It is hoped that the study results can be utilized as base data for improving the automated measurement program.

Supercritical CO2 Dyeing and Finishing Technology - A Review (초임계 이산화탄소 염색 및 가공 기술)

  • Lee, Gyoyoung;Chae, Juwon;Lee, Sang Oh;Kim, Sam Soo;Lee, Jaewoong
    • Textile Coloration and Finishing
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    • v.31 no.1
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    • pp.48-64
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    • 2019
  • With evolution in the production environment of the textile industry, the need for non-water-based dyeing technologies and eco-friendly process facilities in the dyeing and processing stages has increased. In recent years, supercritical fluid dyes have been developed and commercialized in Europe, centering on this demand. However, so far, such dyes have been mainly applied in the processing of PET fibers. Basic research has mainly involved investigation of dyeing by supercritical carbon dioxide or solubility of such dyes, and more in-depth research should be continuously carried out. In this review, we describe the types and characteristics of supercritical fluids that exhibit specific properties at pressures and temperatures over the critical point. In addition, the state of the art in the dyeing and processing technology using supercritical fluids and associated, processing problems, environmental regulation, and wastewater treatment issues are described in detail. We hope this review can contribute to the supercritical fluid technology being further developed as an environment friendly dyeing processing method. Furthermore, we expect that the technique can be used as a means of ensuring different, high-quality dyed products.

Analysis on Pressure and Wearing Sensation according to the Lower Band Design of Sports Brassieres (스포츠 브래지어의 하변 밴드 설계에 따른 압력과 착용감 분석)

  • Lee, Heeran;Eom, Ran-i;Lee, Yejin
    • Fashion & Textile Research Journal
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    • v.21 no.1
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    • pp.67-74
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    • 2019
  • This study aims to investigate the relation between pressure, 3D length change, and subjective pressure sensation in sports brassieres. Seven Korean women in their 20s and 30s were chosen as subjects. In the experiment, the subjects evaluated four types of sports brassieres wherein the lower band was changed. The results of the study were as follows. The pressure according to the measurement position was lower at the front part than at the side and back parts (p<.05), and there was no difference in the pressure according to the brassiere type. It was observed that brassiere C, which had the higher extension band, was elongated more than the other brassieres when worn. In the case of brassiere B, which had a slit in the front center, it was observed that the 3D length of the front part changed very little as the slit spreads, and the back part stretched in a manner similar to those of the other brassieres. Subjective pressure sensation was statistically different only at the front and the side of the lower band. Brassiere B(with a silt) demonstrated the least subjective pressure sensation; the pressure sensation was high when wearing brassieres A and D (p<.05). Brassieres B and C were also preferred for overall comfort. In conclusion, it was observed that the substitution of material and morphological transformation affect subjective sensation.

Effect of Textile Pattern on Mechanical and Impregnation Properties of Glass Fiber/Thermoplastic Composite (유리 섬유/열가소성 복합 재료의 기계적 및 함침 특성에 대한 직물 패턴의 영향)

  • Kim, Neul-Sae-Rom;Lee, Eun-Soo;Jang, Yeong-Jin;Kwon, Dong-Jun;Yang, Seong Baek;Yeom, Jung-Hyun
    • Composites Research
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    • v.31 no.6
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    • pp.317-322
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    • 2018
  • In various industry, the composite is tried to be applied to products and thermoplastic based composite is in the spotlight because this composite can be recycled. The use of continuous fiber thermoplastic (CFT) method increased gradually than long fiber thermoplastic (LFT). In this study, tensile, flexural, and impact test of different array types of glass fiber (GF)/thermoplastic composites were performed to compare with GF array. Impregnation property between GF mat and thermoplastic was determined using computed tomography (CT). At CFT method, thermoplastic film is not wet into GF roving and many voids are appeared into composite. This phenomenon affects to decrease mechanical properties. Plain pattern GF mat was the best mechanical and impregnation properties that distance between two roving was set closely to $100{\mu}m$.

Detecting Similar Designs Using Deep Learning-based Image Feature Extracting Model (딥러닝 기반 이미지 특징 추출 모델을 이용한 유사 디자인 검출에 대한 연구)

  • Lee, Byoung Woo;Lee, Woo Chang;Chae, Seung Wan;Kim, Dong Hyun;Lee, Choong Kwon
    • Smart Media Journal
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    • v.9 no.4
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    • pp.162-169
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    • 2020
  • Design is a key factor that determines the competitiveness of products in the textile and fashion industry. It is very important to measure the similarity of the proposed design in order to prevent unauthorized copying and to confirm the originality. In this study, a deep learning technique was used to quantify features from images of textile designs, and similarity was measured using Spearman correlation coefficients. To verify that similar samples were actually detected, 300 images were randomly rotated and color changed. The results of Top-3 and Top-5 in the order of similarity value were measured to see if samples that rotated or changed color were detected. As a result, the VGG-16 model recorded significantly higher performance than did AlexNet. The performance of the VGG-16 model was the highest at 64% and 73.67% in the Top-3 and Top-5, where similarity results were high in the case of the rotated image. appear. In the case of color change, the highest in Top-3 and Top-5 at 86.33% and 90%, respectively.

A Study on the implementation of the drape generation model using textile drape image (섬유 드레이프 이미지를 활용한 드레이프 생성 모델 구현에 관한 연구)

  • Son, Jae Ik;Kim, Dong Hyun;Choi, Yun Sung
    • Smart Media Journal
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    • v.10 no.4
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    • pp.28-34
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    • 2021
  • Drape is one of the factors that determine the shape of clothes and is one of the very important factors in the textile and fashion industry. At a time when non-face-to-face transactions are being activated due to the impact of the coronavirus, more and more companies are asking for drape value. However, in the case of small and medium-sized enterprises (SMEs), it is difficult to measure the drape, because they feel the burden of time and money for measuring the drape. Therefore, this study aimed to generate a drape image for the material property value input using a conditional adversarial neural network through 3D simulation images generated by measuring digital properties. A drape image was created through the existing 736 digital property values, and this was used for model training. Then, the drape value was calculated for the image samples obtained through the generative model. As a result of comparing the actual drape experimental value and the generated drape value, it was confirmed that the error of the peak number was 0.75, and the average error of the drape value was 7.875

Sizing Communications on Online Apparel Retail Websites - Focusing on Ready-to-Wear Women's Pants - (온라인 의류 쇼핑 사이트의 제품 사이즈 정보 실태 분석 - 여성용 바지를 중심으로 -)

  • Lee, Ah Lam;Kim, Hee Eun
    • Fashion & Textile Research Journal
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    • v.24 no.1
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    • pp.117-126
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    • 2022
  • This study aims to analyze the sizing information of women's ready-to-wear pants as indicated on online retail websites and to suggest better sizing communication that can assist customers in making successful apparel size selections. We gathered size specifications and size reference information for basic straight pants from 34 online apparel retail websites. Although the Korean standard recommends labeling the body dimension-based sizing code and specification, most websites preferred to use various types of sizing codes. Body measurements were only used by a few websites, and garment dimension descriptions were the most common method to indicate product size. Many websites provided size reference information through customer review boards and fit model images, however, there was insufficient body size information to allow customers to infer the fit of their body type. When using the size guidance tools, the major data input points were stature and weight measurements. However, the waist measurements of pants sizes guided only by stature and weight values revealed inconsistent ease allowance for corresponding body size populations, especially in the overweight group. Based on our findings, we propose a more effective method of communicating the size information of pants online. We expect that this will contribute to the efficiency of online apparel product display and build a better shopping environment that satisfies both sellers and consumers.

A Study on Consumer Behavior on Online Luxury Platforms using the Unified Theory of Acceptance and Use of Technology - Focusing on the Extended UTAUT(2) Theory - (통합기술수용이론을 활용한 온라인 명품 플랫폼 소비자 행동 연구 - 확장된 UTAUT(2) 이론을 중심으로 -)

  • Jeong, Dayun
    • Fashion & Textile Research Journal
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    • v.24 no.4
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    • pp.386-398
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    • 2022
  • This study was conducted to corroborate the factors that influence consumer characteristics and technology acceptance on online luxury platforms, which are rapidly emerging as distribution channels for luxury brands. To this end, the relationship between the degree of technology acceptance and behavioral intention of fashion consumers on online luxury platforms and the effect on specific factors such as age and gender was investigated to see if there was a difference in behavior and use behavior. A survey was conducted on Korean consumers between the age of 20 and 40 who have used online luxury platforms and then, a statistical analysis was conducted. As a result of the study, performance expectancy and facilitating conditions, hedonic motivation, price value, and habit were found to have a significant effect on platform behavioral intention, but effort expectancy and social influence did not have a significant effect. Additionally, both facilitating conditions and habit were found to have a directly significant effect on the platform use behavior, and it was confirmed that the platform behavior intention also had a significant effect on the use behavior. As a result of confirming the moderating effect of gender and age, there was no difference based on gender, but only the relationship between price value and behavioral intention was found to have a moderating effect. It is hoped that domestic online luxury platforms will grow into channels with distinct characteristics and continue to develop in the luxury market by utilizing specific affect factors of this study.

Cross-Cultural Study of Tourism Shopping Behavior Based on Escaping-Seeking Theory - Focused on Korean, Chinese, and Japanese fashion consumers - (탈출-추구이론을 중심으로 본 관광쇼핑행동에 대한 비교문화연구 - 한국, 중국, 일본 소비자의 패션쇼핑을 중심으로 -)

  • Hee Jin Hur
    • Fashion & Textile Research Journal
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    • v.24 no.6
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    • pp.744-755
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    • 2022
  • This study sought to verify the shopping values that tourists pursue by purchasing at travel destinations based on tourists' motivation and identify the effects of these values on the types of fashion items preferred by tourists. Furthermore, this study verified the tourist shopping behavior of three Asian countries-Korea, China, and Japan-from a cross-cultural perspective. To obtain a sample that represents tourist shoppers in each country, a survey was conducted on adult men and women in their 20s to 60s, and 986 subjects were collected: 300 Koreans, 385 Chinese, and 301 Japanese. Factor analysis, structural equation modeling, and multigroup SEM were performed on the collected data using SPSS Statistics and AMOS. Based on escaping-seeking theory, tourist intentions were divided into escaping and seeking motivations, and tourist shopping values were divided into functional, emotional, and social. The shopping items were divided into materials and experiential goods to understand the difference between the types preferred by tourists according to the perceived value. In addition, differences in tourist shopping behaviors according to the three nationalities were identified. The findings illustrate that the escaping motive affects emotional and social values, whereas the seeking motive affects all three. Moreover, it was confirmed that functional and emotional values affect preference for material and experiential goods, but social value only affects preference for material goods. For the cross-cultural study, differences in tourist shopping behavior according to nationality were identified.

The Measurement of Korean Face Skin Rigidity for a Robotic Headform of Respiratory Protective Device Testing (호흡보호구 평가용 얼굴 로봇을 위한 한국인 얼굴 피부의 경도 측정)

  • Eun-Jin Jeon;Young-jae Jung;Ah-lam Lee;Hee-Eun Kim;Hee-Cheon You
    • Fashion & Textile Research Journal
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    • v.25 no.2
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    • pp.248-254
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    • 2023
  • This study aims to measure the skin rigidity of different facial areas among Koreans and propose guidelines for each area's skin rigidity that can be applied with a facial robot for testing respiratory protective devices. The facial skin rigidity of 40 participants, which included 20 men and 20 women, aged 20 to 50, was analyzed. The rigidity measurement was conducted in 13 facial areas, including six areas in contact with the mask and seven non-contact areas, by referring to the facial measurement guidelines of Size Korea. The facial rigidity was measured using the Durometer RX-1600-OO while in a supine position. The measurement procedure involved contacting the durometer vertically with the reference point, repeating the measurement of the same area five times, and using the average of three values whose variability was between 0.4 and 4.2 Shore OO. The rigidity data analysis used precision analysis, descriptive statistics analysis, and mixed-effect ANOVA. The analysis confirmed the rigidity of the 13 measurement areas, with the highest rigidity of the face being at the nose and forehead points, with values of 51.2 and 50.8, respectively, and the lowest rigidity being at the chin and center of the cheek points, with values of 19.2 and 20.7, respectively. Significant differences between gender groups were observed in four areas: the tip of the nose, the point below the chin, the area below the lower jaw, and the inner concha.