• Journal of the Korean Society of Costume
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• v.66 no.5
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• pp.16-32
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• 2016

This study examines music visualization characteristics appearing in Giorgio Armani's S/S 2000 Collection and Genny's F/W 2000 Collection, which elicited and reinterpreted the characteristics through an analysis of Kandinsky's paintings. Study results are as follows. First, music visualization characteristics were extracted through an analysis of Kandinsky's works to examine music visualization that appears in contemporary fashion. Further analysis of Kandinsky's works were done in regards to music visualization (Impression, Improvisation, and Composition), and music visualization characteristics were categorized into 'spatial element', 'mobility', and 'overlap'. Second, the analysis of contemporary fashion with a spatial component showed that space was often clothed through color contrasts that highlighted concise and playful effects. Emphasis on line and three-dimensional effects were shown by overlapping lines and costume pleats with exposure expressed by semiotic forms and fabric character4istics. Third, the analysis of clothes that express mobility shows that they commonly express mobility through free color arrangements and a shading of colors with playfulness. The effects of emphasis, uniformity, and exposure were shown through the gloss and transformation of fabric that emphasized fabric characteristics; in addition, the effect of simplicity, three-dimensionality, and uniformity were expressed by adopting the forms of geometric shapes. Fourth, the analysis of clothes that manifest the overlap showed a predominant overlapping of colors and fabric. The esthetic effects of playfulness and exposure were emphasized through colors, shapes, and lines.

• Journal of Fashion Business
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• v.6 no.2
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• pp.67-76
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• 2002

This research examines the characteristic trends through analysis on cue in the contemporary fashion distinctly and systematically. It is carried out by both qualitative analysis and quantitative analysis. In the qualitative analysis, the four important street fashions of neo-mods/jazz, neo-hippie/grunge, sportivecasual and technos/cyber-punk are grouped. In the quantitative analysis, statistical data are sampled from Collection II of the 1990s S/S. It takes frequency, percentage, $\chi^2$-test and etc. by using the comprehensive tools for statistical treatment. There were significant differences between the S/S fashion. According to the cues, there are also significant differences between the fashion in the 1990s. In 'Neo-Mos/Jazz' style shows highly androgynous look, deep and strong tone, green/blue colors, natural fabric, stripe pattern, long hair style, and hided make-up. 'Neo-hippie/gnenge' style shows highly folklore look, vivid tone purple colors, seethrough/knit fabric, natural /traditional pattern, decorative hair special makeup. 'Sportive casuals' style shows highly sportive look, greish tone, white/grey colours, natural fabric, solid patten, bobbed hair, and natural make-up. 'Techno/cyber punk style shows highly comocorps look, pale tone black colors avangard fabric, solid patten, punk/dyed hair special make-up.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.3
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• pp.347-354
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• 2014

The color appearance of a yarn-dyed woven fabric depends on the color of the yarn as well as on the weave structure. Predicting the final color appearance or formulating the recipe is a difficult task, considering the interference of colored yarns and structure variations. In a modern fabric design process, the intended color appearance is attained through a digital color methodology based on numerous color data and color mixing recipes (i.e., color prediction models, accumulated in CAD systems). For successful color reproduction, accurate color prediction models should be devised and equipped for the systems. In this study, the final colors of yarn-dyed woven fabrics were predicted using six geometric-color mixing models (i.e., simple K/S model, log K/S model, D-G model, S-N model, modified S-N model, and W-O model). The color differences between the measured and the predicted colors were calculated to evaluate the accuracy of various color models used for different weave structures. The log K/S model, D-G model, and W-O model were found to be more accurate in color prediction of the woven fabrics used. Among these three models, the W-O model was found to be the best one as it gave the least color difference between the measured and the predicted colors.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.2
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• pp.193-204
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• 2002

Many fashion forecasting companies propose the fashion colors in every season. Modern fashion consumer respond to fashionable trends with utmost sensitivity. Therefore to satisfy the consumer with an trendy image, the fashion design must be found first, as image matters, followed by an analysis of each design element's effect on the total image composition. In previous studies of fashion image, has been discussed the positive correlation between fashion design elements of color, fabric, and form as the central issue. In this thesis, two of the fashion design elements, color and fabric are simultaneously considered to classify the image of fabric in fashion. For the color variables, 10 hues are selected from Munsell's system of color notation, and 12 tones from PCCS color notation., which are currently used in the domestic fashion industry. Texture variables used in this survey are classified by luster, prominence-depression of surface, thickness, and density of fabric. Graduate students from 20 to 50 years old and the specialists in fashion companies participated in the survey. The results of this survey are as follows: 1. The fashion fabric image is classified as 5 main images: 'elegant', 'comfortable', 'characteristic', 'light'and 'simple'. 2. The influence of hue, tone and texture is significant to the fashion fabric image. Following colors, yellow-red, red hues and light grayish, dark grayish tones convey the elegant image. The texture property for the elegant image is luster, thin and low density. Properties of fabric conveying the comfortable image are yellow-red and green-yellow hue, soft, light tones, matte and high density. Furthermore, hue turned out to be a insignificant variables for the unique image, whereas dark grayish, grayish tone, luster and prominent texture convey a unique image. For light image, properties of fabric are blue-green, purple hues, light, bright tones with thin, low density texture. Properties of fabric conveying the simple image are blue-green, purple-blue, green-yellow hues, and strong, vivid tones, with luster and flat texture.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.3_4
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• pp.354-363
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• 2003

In this research, an internet-based fabric information system has been developed. Recently, the numbers of textile industries which have their own homepages to advertise their product fabrics fur apparel through the Internet and textile e-Commerce web sites rapidly increase. Unfortunately, traditional fabric information systems based on direct meeting and trust cannot give sufficient information to numerous visitors of the Internet sites including fabric buyers for apparel. They can just view 3-dimensional fabric images and text-based specifications such as fabric density, composition, colors, weight, etc. To solve these problems, the new fabric information system fur apparel has been developed. The web-based fabric information system is composed of the following six modules; $\circled1$ fabric database management system, $\circled2$ a 3-D fabric drape image viewer to illustrate fabric appearances, $\circled3$ a virtual wearing system to apply a fabric to garment designs, $\circled4$ a fabric property viewer to confirm fabric characteristics, $\circled5$ a QC (quality control) document generator to manufacture high qualify garments with a fabric, and$\circled6$actual display mall to view actual fabrics. The fabric information system is simply performed by visitors clicking the buttons hyper-linked with JAVA applets on web browser. The web-based fabric information system enables the web site visitors to understand fabrics shown on the Internet in more details.

• Journal of Fashion Business
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• v.16 no.2
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• pp.138-150
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• 2012

Nano Inkjet DTP technology, a new technology introduced recently, can be applied to various types of fabric, and pre-treatment process can be omitted, which makes the whole printing process compact. Some important factors for DTP are color difference between the color selected by the designer on PC and the color on the final product and durability of the final fabrics. In this study, the twenty-three trend colors of 2012-2013 F/W suggested by PeclersParis have been picked to be printed on cotton, silk and polyester fabrics, then K/S and ${\Delta}E$ value and color fastness were measured. The results show that dyeability of fabric is varied for each color group, and that also tone of color affect to dyeability when measured for colors in the same group. In general, for all fabric, light fastness, washing fastness and color fastness to sublimation are outstanding. However, because of poor rubbing fastness, additional treatment to fix colorant on fabric is required.

• Textile Coloration and Finishing
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• v.13 no.6
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• pp.397-404
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• 2001

The accurate representation of the colors of dyed fabric on a color CRT(cathode ray tube) screen is the basis for the automatic process in dyeing industry. In the former study, we had focused on the theoretically color matching method between CIE(International Commission on illumination) and RGB color coordinates, but In this study we tried simulating the colors obtained from fabrics on the color CRT by using experimental method. we obtained the following results. 1. We could simulate all of the color CRT by gamut mapping method, even though some of the KOSCOTE(Korea Standard Color of Textile) colors represented on the color CRT didn't exist in the region of color region 2. We could do conditional matching by CIE system, even though it was hard to do invariant matching the Red, Green, Blue phosphors of the color CRT because of the SPD(Spectral Power Distribution) which had been set up before. 3. We could simulate all the colors obtained from fabrics on the color CRT by matching those two color groups from KOSCOTE fabrics and color CRT using match algorithm and matching programs. 4. If we get over on obstacles by grafting CCM and CCK machines which have been used in educational and industrial areas by matching KOSCOTE with color CRT we will be able to invent color simulation system controled automatically.

• Textile Coloration and Finishing
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• v.13 no.6
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• pp.39-39
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• 2001

The accurate representation of the colors of dyed fabric on a color CRT(cathode ray tube) screen is the basis for the automatic process in dyeing industry. In the former study, we had focused on the theoretically color matching method between CIE(International Commission on Illumination) and RGB color coordinates, but In this study we tried simulating the colors obtained from fabrics on the color CRT by using experimental method. we obtained the following results. 1. We could simulate all of the color CRT by gamut mapping method, even though some of the KOSCOTE(Korea Standard Color of Textile) colors represented on the color CRT didn′t exist in the region of color region. 2. We could do conditional matching by CIE system, even though it was hard to do invariant matching the Red, Green, Blue phosphers of the color CRT because of the SPD(Spectral Power Distribution) which had been set up before. 3. We could simulate all the colors obtained from fabrics on the color CRT by matching those two color groups from KOSCOTE fabrics and color CRT using match algorithm and matching programs. 4. If we get over on obstacles by grafting CCM and CCK machines which have been used in educational and industrial areas by matching KOSCOTE with color CRT we will be able to invent color simulation system controled automatically.

• Journal of the Korean Society of Clothing and Textiles
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• v.15 no.3 s.39
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• pp.297-307
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• 1991

The purpose of this study was to investigate the effect of physical type and age on preference for color and fabric motifs in women's clothing design. Color preference measures consisted of fabric samples in solid colors and drawings of clothing styles painted in colors. Preference for fabric motifs was assessed by printed fabrics in various patterns and sizes. All of the preference measures were devised specifically for this study. Furthermore, items on height and weight for physical type as well as age of the subjects were included in the questionnaire. Data were obtained by means of structured interviews and self-administered questionnaires from 588 women ($20\~60$ years of age) in seoul. Analysis was by chi-square ($X^{2}$), frequency, percentage, and mean. On color preference, a small but significant body type, height, and age effect was found on some types of clothing. Preference for fabric motifs was affected by body type; height of subjects was related to preference for size of motifs, and age was related to choice, size, and width of striped motifs. It was concluded that body type, height, and age are 1e3st effective in predicting color preference. Fabric motif preference was influenced more by age than by body type or height. Generally, there was some similarities in preference for lines and fabric patterns among slim body types, tall figures, and younger age groups as well as heavy body types, short figures, and older age groups.

• Journal of Fashion Business
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• v.4 no.3
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• pp.79-90
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• 2000

On the beginning of 21C, in which it is a facing problem that the expansive image of future in fashion should be proposed from the comprehensive analysis for the fashion trend. Therefore, in this study, the trends of capricious fashion are distinctly quantified by investigating the cue of fashion in each styles. Also, the systematic evaluation is carried out of analyzing photographs to which the four important fashion styles. In particular, this study takes the practical and numerical results through quantitative analysis by statistical treatment as well as through qualitative analysis that has been formerly used in the other studies. The purposes of this study are to examine fashion trends expressed in important styles in the 1990s, and to formulate productive fashion of the future. In the qualitative analysis, the four important fashions of neo-mods/jazz, neo-hippie/grunge, sportive-casual and techos/cyber-punk are grouped. In the quantitative analysis, statistical data are sampled from Collection II of the 1990s A/W. It takes frequency, percentage, $x^2$-test and etc, by using the comprehensive tools for statistical treatment. There were significant differences between the A/W fashion. According to the cues, there are also significant differences between the fashion in the 1990s. The results of this study are summarized as follows: (1) In 'Neo-Mos/Jazz' style shows highly androgynous look, deep and strong tone, green/blue colors, natural fabric, stripe pattern, long hair style, and hided make-up. (2) 'Neo-hippie/gnenge' style shows highly folklore look, vivid tone purple colors, seethrough/knit fabric, natural /traditional pattern, decorative hair special make-up. (3) 'Sportive casuals' style shows highly sportive look, greish tone, white/grey colours, natural fabric, solid patten, bobbed hair, and natural make-up. (4) 'Techno/cyber punk style shows highly comocorps look, pale tone black colors avangard fabric, solid patten, punk/dyed hair special make-up.