• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.527-535
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• 2021

In this study, electroconductive textiles were developed by screen-printing technology using a complex solution of PEDOT:PSS/AgNW on a polylactic acid nanofiber web. A performance evaluation was then conducted to utilize this electroconductive textile as a signal transmission line. To obtain highly conductive electroconductive textiles, this study sought to determine the optimal mixing ratio of PEDOT:PSS/AgNW. Sheet resistance was measured to evaluate the electrical properties of electroconductive textiles, Finite element-scanning electron microscopy images were then used to examine surface properties, and Fourier transform-infrared analysis was performed to evaluate chemical properties. The signal waveform characteristics of the electroconductive textile were observed using a signal generator and an oscilloscope. Radio-frequency characteristics were then evaluated to confirm frequency range, and bending tests were conducted to evaluate durability. The signal transmission lines produced in this study had a sheet resistance value of 3.30 ?/sq, and signal transmission performance was evaluated to observe that the input value of the voltage was nearly identical to the output value. In addition, S21 analysis confirmed that it was available in the frequency domain up to 35 MHz. The performances of the transmission lines were maintained after 100, 200, 500, and 1,000 repeated bending tests, and sufficient durability was confirmed.

• Fashion & Textile Research Journal
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• v.23 no.5
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• pp.667-673
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• 2021

The purpose of this study was to obtain drape information and objective texture of fabrics easily and quickly by using a constructed fabric database. For the construction of the fabric database, 287 woven fabrics were examined by using the CLO fabric kit, KES-FB system, and drape test system. The k-means cluster analysis method was used to classify the fabrics into 7 grades. After correlation analysis of the fabric properties for each experiment, similar properties of the CLO fabric kit and KES-FB system were chosen, which were then designed to extract similar fabrics from the database. It was confirmed that inferring the drape information and objective hand feeling of fabrics was to some extent possible by extracting similar fabrics from the database. In this study, the primary hand and total hand value(THV) of KES-FB system, which was constructed by Kawabata and other experiments, were used to quantify the objective hand feeling, because they are the most widely used. However, these standards can be changed over time; in order to be applied within the clothing industry, these standards may have to be changed to some extent. Moreover, it is notable that although objective hand feeling cannot be expressed in the 3D virtual costume program, it can be easily derived from the constructed database. Additionally, it is expected that the existing 3D virtual costume program will express the costumes more realistically by improving these results.

• Fashion & Textile Research Journal
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• v.21 no.4
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• pp.509-514
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• 2019

Cotton fabrics were treated with gelatin to enhance dyeability and color strength when using Caesalpinia sappan dye. Gelatin was used as the protein and a pad-dry- cure method was used for the treatment process (2, 4, 6, 8, 10, 12, 14g/l concentration). Pretreated fabrics were mordanted with 10% alum. Fabrics were then dyed with freeze-dried sappan wood water extract powder form. Dyed samples were assessed in regards to dyeing behavior and color fastness. Comparing untreated and gelatin treated samples from the SEM images indicated that the Gelatin treatment (10g/l) resulted in an enhanced surface roughness that was relative to that of untreated cotton. Padding cotton with gelatin at 6g/l concentration afforded dyed fabrics with a 2 times increase in the K/S value over that of untreated fabrics. All dyed samples were red color with a significant enhancement in the sample color strength (K/S) being observed for pretreated samples. pH values favor dye absorption with pH 7 yielding the highest color strength. Dyeing at an elevated temperature resulted in a lower color strength and reddish-dull color. Longer dyeing times created greater color strengths for untreated and gelatin treated cotton. Increased dye concentrations resulted in higher K/S values for both gelatin treated and untreated cotton. As for color fastness, gelatin treated and untreated cotton fabrics dyed with sappan wood extract showed a relatively low rating in washing fastness (color change 1 rating), light fastness (1 rating), and rubbing fastness (wet:1-2, dry:3-4 rating).

• Journal of Fashion Business
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• v.23 no.4
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• pp.127-139
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• 2019

Up-cycling has evolved from its original form of the simple recycling of waste, into an industry of its own that has been gaining momentum. In many developed industries, up-cycling is increasingly seen as an 'environmentally-friendly way of production and ethical way of consumption'. However, an examination of the designs of branded up-cycled products suggests that there is a need for product development fueled by further research on materials. The purpose of this study is to introduce various production methods that can overcome the shortcomings of using waste material and Korean motifs for use in product development, which ultimately contribute to enhancing the potential variety and character of up-cycled products. In order to do so, the up-cycling industry was examined to define key concepts, domestic and overseas markets were surveyed, and case analyses were conducted on domestic and foreign up-cycling brands. In addition, after tracking how leather is discarded and accumulated as waste and then collecting the discarded leather, the properties of the material were analyzed. A study of Korean motifs was followed by the concept summary, and upcycling design expressions that exemplify Korean images were identified. The following two novel methods were used to create six up-cycled bags using collected discarded leather. First, lucky bags and moon pots were selected from various Korean motifs in order to use motifs with identifiable features. Secondly, different variations of cutting and attachment methods were used, including iron mold production methods and presses.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.3
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• pp.73-85
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• 2021

The purpose of this study is to understand the influence of the professor's image making (internal, external, social image) perceived by college students on instructional outcomes. The influence of the professor's image making on class satisfaction and class commitment was analyzed, and the mediating effect of class satisfaction and the relationship between class satisfaction and class commitment in the relationship between image making and class commitment was considered. First, it was found that the external image and social image of the professor had a significant effect on class satisfaction. The level of interpersonal relations, such as communication, manners, manners, and intimacy as well as the management of external expressions, clothing style, makeup, hair, gestures, postures, attitudes, voices, speech, and speech speed brings satisfaction to the class. Second, it was found that the professor's inner image, outer image, and social image had a significant effect on class commitment. In order to satisfy the students' immersion in class, professors are required to manage internal, external, and social images. Third, it was found that class satisfaction had a significant effect on class commitment. If the class satisfaction is high, it means that class immersion also increases. Fourth, as for the social image of a professor, it was found that class satisfaction had a completely mediating effect in the relationship between class commitment, and the external image of a professor was found to have a partial mediating effect in class satisfaction in the relationship between class commitment. It was found that the social image of professors perceived by college students improve class satisfaction, and this improves class satisfaction further enhances class immersion.

• Fashion & Textile Research Journal
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• v.22 no.6
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• pp.739-751
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• 2020

This study compares and analyzes bridal wedding styles in Korean and Chinese SNS. For this, 715 photos (362 in Korea and 353 in China) collected on social media (Instagram and Xiaohongshu) were used for analysis. The bridal wedding style was divided by item into wedding dress, makeup, and hairstyle, and detailed characteristics of images and designs were examined through content analysis and statistical analysis. First, in the case of Korea, many wedding dresses showed ball gowns and mermaid silhouettes, white colors, and no details and trimmings. As for the makeup, transparent and natural skin expression, straight eyebrows, and pink and peach lip colors were highlighted; and as for hairstyles, many long hair with half-covered ears appeared. Second, in China, a ball gown, mermaid silhouette, and white color are often seen in wedding dresses, and point colors and use of various details and trimmings are noted. The makeup showed a lot of bright skin expression, brown and black eyebrows, and red and brown lip colors. As for hairstyle, a lot of long hair with completely exposed ears appeared. Third, the comparison of bridal wedding styles between Korea and China indicated that China used relatively more details and trimmings in wedding dresses. As for makeup, Korea has a natural image, and China has a classic image. As for the hairstyle, there were many styles in which Koreans had half the ears covered, and Chinese had no bangs and completely exposed ears.

• Fashion & Textile Research Journal
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• v.23 no.6
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• pp.826-835
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• 2021

The purpose of this study was to compare the similarity between actual and virtual pants using a virtual 3D CLO program. A subject corresponding to the average size of a women in her twenties was selected and an avatar with the same specifications was produced. Silhouettes of the pants were classified into trousers, slacks, and wide pants and images of actual and virtual pants were evaluated from the front, side, and back. The results were as follows: Overall, the resemblance of the trousers was evaluated higher than that of other pants. The average similarity of trousers was 4.20 at the front, 3.98 at the side, and 4.17 at the back, which was much like the actual clothing. In contrast, that of the slacks was 3.62, 3.73, and 3.79 and of the wide pants was 3.81, 3.53, and 3.97. The similarity between the actual and virtual clothing was relatively well reproduced when the shape of the pants was like the silhouette of the human body. However, if the pants were tight or loose, virtual fits failed to display the wrinkles caused by the tightness or the excessive slack. The virtual fit showed fewer wrinkles and did not depict the location and the shape of hemlines as accurately as the actual fit, although virtual fits adequately displayed the baseline and dart on the pants.

• 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.

• Fashion & Textile Research Journal
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• v.24 no.1
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• pp.1-14
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• 2022

K-pop stars are an important influence in the era of digital culture based on emotions. The purpose of this study is to visually express the identity and worldview of their music in the virtual and real world, and to promote Korea's current and past culture. The study also intends to appeal to the emotions of the global fans by designing original textile in their music video 'IDOL' on Tiny TAN - a symbol of world pop star BTS. For design development, traditional Korean images shown in the 'IDOL' video were collected, patterns for each member were selected, and a motif was designed on Adobe Illustrator. We selected the dragon as the motif for V, cloud for Suga, chrysanthemums for Jin, mask for Jung Kook, hanok pavilion for RM, fan for Jimin, and Sam Taegeuk for J-Hope. The selected motifs were designed as per the four textile design arrangement methods: square pattern, 1/2 half drop pattern, turn-around pattern, and panel pattern. The design was presented by mapping Kwaeja to Tiny TAN character. The developed textile design can be used not only for character costumes in virtual space, but also for various products such as clothes, accessories, bedding, cosmetics, stationery, and food. By using it to produce goods inspired by K-pop stars, it can be used as basic data for the development of high value-added competitive products in the global market and create synergy effects of K-Design, which would lead a new trend in the design world.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.9
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• pp.371-380
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• 2022

Convolutional neural networks are widely used to manipulate data arranged in a grid, such as images. A general convolutional neural network consists of a convolutional layers and a fully connected layers, and each layer contains a nonlinear activation functions. This paper proposes a combined parametric activation function to improve the performance of convolutional neural networks. The combined parametric activation function is created by adding the parametric activation functions to which parameters that convert the scale and location of the activation function are applied. Various nonlinear intervals can be created according to parameters that convert multiple scales and locations, and parameters can be learned in the direction of minimizing the loss function calculated by the given input data. As a result of testing the performance of the convolutional neural network using the combined parametric activation function on the MNIST, Fashion MNIST, CIFAR10 and CIFAR100 classification problems, it was confirmed that it had better performance than other activation functions.