• International Journal of Human Ecology
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• v.7 no.2
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• pp.43-52
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• 2006

This study analyzed and compared the color characteristics of preferred textiles for blouses and shirts of college students. After the survey of preference in fabrics for blouses and shirts of college students according to season, colors of preferred fabrics were analyzed. Spectral data were measured and a chromaticity diagram was drawn. The color of shirt fabric that college students preferred in the spring/fall was PB (Purple-Blue) and light shades, and in summer, PB color and pale shades. Generally achromatic black or a simple color that is close to an achromatic color, light and soft shades were preferred. For blouse fabric, PB, d (dull) and g (grayish) tones were preferred in spring/fall, G (Green) and It., d. were preferred in summer. Achromatic white and medium, soft shaded chromatic especially greenish colors were preferred. In spring fall, regardless of the clothing item, PB was the most preferred color. Y (Yellow) was the most preferred color for shirts, and for blouses, R (Red) was the most preferred. For achromatic color, black is preferred for shirts, white is preferred for blouses. In summer, the color of preferred shirt fabric was PB, and blouse fabric had a lot of G color. College students prefer simple colors which are close to achromatic colors, and light and soft color were preferred for shirt fabric and they preferred various, medium shaded and closer to pure colors for blouses because college students tend to consider the aesthetic side as important and usually wear blouses less often than shirts.

• The Research Journal of the Costume Culture
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• v.23 no.6
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• pp.955-971
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• 2015

The purpose of this study is to consider the design characteristics of Chinese traditional clothing, especially from the Ming-Qing Dynasty era, and how they have influenced contemporary fashion. Regarding research methods, this study determined the design characteristics, such as the form, color and pattern of Chinese traditional clothing of the Ming-Qing Dynasty era. In addition, 440 photos were collected from the Paris Collection from 2005 to 2014 using www.firstviewkorea.com. The results of this study are as follows. First, the most popular silhouette from Chinese traditional clothing appearing in contemporary fashion was the H-shaped one, and the internal lines appeared in the following order: Chinese collar; narrow sleeve; symmetrical front opening; round collar; wide sleeve; and the C-shaped Biwa front-end. Second, the most popular color was achromatic black, followed by white. The chromatic colors were in the order of blue, yellow, red, green, and purple. Third, the patterns appeared in the following order: Plant patterns, complex patterns, and animal patterns. The peony pattern appeared the most commonly as a plant pattern, followed by the arabesque pattern and the plum blossom pattern which appeared with a similar proportion. Dragon, bird and phoenix patterns appeared the most for animal patterns. It is considered that the results of this study will be helpful for designing products for Korean fashion brands that will advance to the Chinese market. In addition, it will help Chinese designers apply the Chinese-style design characteristics popular among people throughout the world when they advance to the West.

• Journal of Fashion Business
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• v.15 no.5
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• pp.144-160
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• 2011

This study investigated the colors of the costumes and backgrounds of characters in the films "Thirst" and "Mother" from an integrated perspective. As a study method, ten scenes per film, which contained the characters and backgrounds from the start to the end of the DVDs of "Thirst" and "Mother" were examined. For integrated color analysis of the costumes and backgrounds, the colors of the captured scenes were simplified to extract representative colors, and then color palettes were presented according to the ratio of area. The colors of costumes were analyzed by recognition through the eyes based on the I.R.I. Hue and Tone 120. Furthermore, the color images of the two films were analyzed using the I.R.I. adjective image scales and the I.R.I. color image scales. The colors of the film "Thirst" were generally low in brightness and high in chroma. They are characterized by dark, gloomy toned-down background in the first half, highly chromatic vivid background in the second half, and the contrast of purple blue colors and red colors. The colors of the film "Mother" are characterized by complementary colors between background and costume colors, and various tones of blue and green colors. From the aspect of color tones, they were relatively high in brightness compared to the film "Thirst" but low in chroma. On the I.R.I. adjective image scale, contrasting adjectives were extracted simultaneously from the film "Thirst" as the adjectives were evenly distributed at hard, dynamic and static, whereas the adjectives extracted from the film "Mother" were distributed at hard and statistic. On the I.R.I. color image scale, both films were located at hard, but the film "Thirst" was located at dynamic whereas the film "Mother" was located at static.

• Korean Journal of Food Science and Technology
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• v.29 no.2
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• pp.302-308
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• 1997

${\beta}-Cyclodextrin\;({\beta}-CD)$ polymers were prepared using epichlorohydrin as a cross linking agent. The polymers were separated into ${\beta}-CD$ soluble polymer $({\beta}-CD\;SP)$ and ${\beta}-CD$ insoluble polymer $({\beta}-CD\;ISP)$ on a 10,000 molecular weight cut-off membrane (YM 10). Optimum separation conditions in the YM 10 were: transmembrane pressure 51.7 kPa, separation temperature $35^{\circ}C$, and volume concentration ratio 10. The flux was $0.025\;mL/cm^{2}/min$ under the optimum conditions. Gel permeation chromatography indicated that ${\beta}-CD\;SP\;and\;{\beta}-CD\;ISP$ had a degree of polymerization of $2{\sim}8$ and over 10, respectively. The formation of an inclusion complex with hydrophobic compounds such as 4-dimethylaminoazobenzene, methyl red, and naringin was compared among ${\beta}-CD,\;{\beta}-CD\;SP\;and\;{\beta}-CD\;ISP$. The molar absorptivity for the two chromatic compounds was increased and the absorption peak was shifted in the presence of ${\beta}-CD$ polymers. Naringin, the principal flavonoid bitter tasting component of citrus fruit, had a low water solubility. The solubility of naringin was increased through the formation of an inclusion complex with ${\beta}-CD$ polymers. There was no significant difference in the formation of an inclusion complex between ${\beta}-CD\;SP\;and\;{\beta}-CD\;ISP$. Reduction of the bitter components from citrus products was shown to be possible when employing ${\beta}-CD\;SP$, while the usage of ${\beta}-CD$ monomer has been limited due to the low water solubility.

• Journal of Microbiology and Biotechnology
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• v.23 no.4
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• pp.534-538
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• 2013

The effects of lights with different wavelengths on the growth and the yield of extracellular polysaccharides of Nostoc flagelliforme cells were investigated in a liquid cultivation. N. flagelliforme cells were cultured for 16 days in 500 ml conical flasks containing BG11 culture medium under $27{\mu}mol{\cdot}m^{-2}{\cdot}s^{-1}$ of light intensity and $25^{\circ}C$ on a rotary shaker (140 rpm). The chlorophyll a, phycocyanin, allophycocyanin, and phycoerythrin contents in N. flagelliforme cells under the lights of different wavelengths were also measured. It was found that the cell biomass and the yield of polysaccharide changed with different wavelengths of light. The biomass and the yield of extracellular polysaccharides under the red or violet light were higher than those under other light colors. Chlorophyll a, phycocyanin, and allophycocyanin are the main pigments in N. flagelliforme cells. The results showed that N. flagelliforme, like other cyanobacteria, has the ability of adjusting the contents and relative ratio of its pigments with the light quality. As a conclusion, N. flagelliforme cells favor red and violet lights and perform the complementary chromatic adaptation ability to acclimate to the changes of the light quality in the environment.

• Science of Emotion and Sensibility
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• v.16 no.3
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• pp.351-362
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• 2013

This study aims to investigate the characteristics of Chinese consumers, who are growing up as the global biggest consumption market, according to G sensibility types, and to provide the data base for China market by analyzing the consuming pattern per sensibility and the preferred color. For the investigation, the survey on G sensibility and consuming pattern was conducted for consumers in four cities of China. As a result of classification of G sensibility types, it was found that Chinese consumers tended to behave in accordance with their values and identities and the most general type in them was G1 pursuing the reasonable and logical consumption, unlike Korean consumers who tended to be shown as G3 for the most general type according to the preceding study. As to characteristic of consumption, Chinese consumers preferred to purchase clothes from the department store, and in case of G2 type, the characteristics was corresponded with Actionist's character which shows the wide range of behavior and high-consumption, by preferring the road-shop next to the department store. Chinese consumers tended to purchase the clothes on the basis of their preferred colors, and especially it was shown that achromatic color was very commonly preferred. Also the black color was on the highest preference, and white, dark gray and light gray were followed. Meanwhile, in chromatic color, it was found that brown, orange, red and blue were preferred in order, and in case of G4, it was found that they preferred more various colors compared to the other types. This result could be used as the data base for the marketing strategy of fashion design industry and the related companies, as well as the new communication method for the consumers.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.1
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• pp.1-12
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• 2008

In this paper, we present a real-time algorithm for recognizing the vehicle color from the indoor and outdoor vehicle images based on GPU (Graphics Processing Unit) acceleration. In the preprocessing step, we construct feature victors from the sample vehicle images with different colors. Then, we combine the feature vectors for each color and store them as a reference texture that would be used in the GPU. Given an input vehicle image, the CPU constructs its feature Hector, and then the GPU compares it with the sample feature vectors in the reference texture. The similarities between the input feature vector and the sample feature vectors for each color are measured, and then the result is transferred to the CPU to recognize the vehicle color. The output colors are categorized into seven colors that include three achromatic colors: black, silver, and white and four chromatic colors: red, yellow, blue, and green. We construct feature vectors by using the histograms which consist of hue-saturation pairs and hue-intensity pairs. The weight factor is given to the saturation values. Our algorithm shows 94.67% of successful color recognition rate, by using a large number of sample images captured in various environments, by generating feature vectors that distinguish different colors, and by utilizing an appropriate likelihood function. We also accelerate the speed of color recognition by utilizing the parallel computation functionality in the GPU. In the experiments, we constructed a reference texture from 7,168 sample images, where 1,024 images were used for each color. The average time for generating a feature vector is 0.509ms for the $150{\times}113$ resolution image. After the feature vector is constructed, the execution time for GPU-based color recognition is 2.316ms in average, and this is 5.47 times faster than the case when the algorithm is executed in the CPU. Our experiments were limited to the vehicle images only, but our algorithm can be extended to the input images of the general objects.