• The Research Journal of the Costume Culture
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• v.4 no.3
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• pp.305-323
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• 1996

The purpose of this sty is to forecast the tendency of clothing colors, to provide materials useful for making the color plan for a better costume, and suggest new information in the apparel industry. To achieve these purposes, this study was carried out by suggesting vogue colors of recent apparel, along with the 20 standard colors of Muncell to 350 men and women in their 20s residing in Taegu.. We analysed and compared their preferred colors in suits vidual factor ;age, sex, education ,skin color, and body shape, and additionally classifying their interest in clothing colors, cause for color selection , degree of interest in color of clothes, color satisfaction of apparel market, and color combination of clothing, color satisfaction of apparel market, and color combination of clothing. We compared these elements according to their age, sex, and education. The results of this study is summarized as follows; 1. It was shown that both men and women in their 20s preferred warm colors the first colors mentioned being the most popular ; Pastels, Red, Blue and Black. They disliked dark and sordid colros in the order of Mauve, Khaki and Red. They preferred wearing Pastels and Yellow in the Spring, White, Blue, and Pastels were the favorites for summer, Beige in autumn, and black, Gray, and Beige in winter. The repugnated colors they chose two wear were Black, Red, Mauve, Khaki in spring and summer. Mauve, Red, Yellow were favorites for autumn, and Blue·White, Yellow·Green, and Pastels in winter. 2. The preferred colors for T-shirts were Yellow, Pastels, White in spring. White and Pastels were summer favorites, Beige an Red for autumn, and Black, Red, Beige in Winter. As for suits, the preferred colors in spring were in the order of Pastels, Beige and Yellow. The preferred colors of upper garments in summer were in the order of White and pastels. for lower summer garments Pastels, White and Blue were favorites. In autumn, Beige was shown to be highly preferred, and in winter, the order of preferred colors was Black, Gray and Beige. 3. On of those individual factors showing the greatest difference was sex. 4. Those factors having the greatest impact on the selection of clothing color were the season and their preference color. 5. The in vogue color of men in their 20s was at a higher level than hat of women. The groups that had an upper college level education showed a significant difference in their choices thant hose who were highschool graduates and technical college student and graduates. The consideration of inteterest in color of clothes, holding clothes during new purchasing, body shape and skin color was higher for women than men. In buying and wearing accessaries, women tend to take into consideration the harmony with the garment, and there was shown a significant difference between highschool graduates and the groups above the level of college education.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.54 no.1
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• pp.55-60
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• 2009

This study was conducted to measure tea surface colors using the visible bands ($400{\sim}700$ nm) with near-infrared spectroscopy (NIRS). The surface colors of 117 tea products were measured with a colorimeter. The $a^*/b^*$ (CIE color scale) or a/b (Hunter color scale) ratios in different tea products accounted for about 99.7% of the variation in fermentation degree (FD), indicating that the $a^*/b^*$ (a/b) ratio is a very useful trait for assessing fermentation degree. Also tea powders were scanned in the visible bands used with NIRS. Calibration equations for surface colors and fermentation degree were developed using the regression method of modified partial least-squares (MPLS) with internal cross validation. The equations had low SECV (standard errors of cross-validation), and high $R^2$ (coefficient of determination in calibration) values with $0.779{\sim}0.999$, indicating that the whole bands ($400{\sim}2500\;nm$) with NIRS could be used to rapidly measure traits related to surface color, fermentation degree and other chemical components in tea products with high precision and ease at a time.

• Journal of the Korean Institute of Landscape Architecture
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• v.22 no.4
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• pp.149-160
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• 1995

We investigated the seasonal changes flower color of 163 deciduous woody landscape plants in the Suwon region from January 1, 1992 to March 20, 1993. The results were as follows; 1. By the month of anthesis of woody landscape plants, only one plant of Hamamelis japonica flowered in February, 15 species in March, 48 species in April, 63 species in May, 23 species in June, 12 species in July, and one plant of Hydrangea paniculata was flowered in August. 2. The flowering period was about 220 days from February 24, 1992 that Hamamelis japonica was anthesis to October 5, 1992 when Hydrangea paniculata was deblossomed. 3. By the flowering period of woody landscape plants, 81 species continued for 11 days through 20 days, and Rosa spp., 118 days, Hibiscus syriacus 'Yungkwang', 80 days, Largerstroemia indica, 65 days, and 6 species continued for 41 through 60 days, 10 species were 31 through 40 days, 43 species were 21 through 30 days, and 20 species were for less than 11 days. 4. The woody landscape plants flowering before leaf spreading, Hamamelis japonica, Abeliophyllum distichum, Prunus mume 'Hwahyangmi', Prunus mume 'Baekkaha', Lindera obtusiloba, Cornus officinalis, Prunus armeniaca. The others were plants with leaves spreading white flowering; Forsythia ovata 'Tetra gold', Forsythia ovata, Corylus hetrophylla, Rhododendron mucronulatum, Magnolia denudata, Forsythia koreana 'Seoul Gold', Forsythia koreana, Magnolia stellata, Acer negundo 'Elegans', Magnolia kobus, Forsythia viridissima 'Bronxensis', Prunus yedoensis, Prunus leveilleana var. pendula, Prunus persica for. albiplena, Prunus tomentosa, Prunus persia, Magnolia liliflora, Prunus glandulosa for. sinensis, Cercis chinensis, Poncirus trifoliata. 5. In terms of flower color based on KBS standard color number, 83 species were white, 44 species wer red, 21 species were yellow, 12 species were violet, and 3 species were green. 6. In terms of the flower color by month. Hamamelis japonica was yellow February. Flower colors in March were : yellow-7 species, red-3 species and white-5 species. Flower colors in April were : White-21 species, red-19 species and yellow-6 species. Flower colors in May were : White-36 species, red-16 species. The white flowers in June were 16 species. Flower colors in July were : white-4 species, red-4 species. 7. The white flower color of woody landscape plants of trees was 35 species. The red flower color was 18 species, yellow flower color was 5 species, violet flower color was 2 species, and green flower color was 3 species. Also the white flower color of woody landscape plants of shrubs was 48 species, red flower color was 25 species, yellow flower color was 17 species and violet flower color was 10 species. 8. The new 'Cultivars' of woody landscape plants are needed to introduced the development of planting design. 9. Present data of illustrated books of plants should be checked by new data that was studied in this research.

• The Korean Journal of Food And Nutrition
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• v.15 no.4
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• pp.350-356
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• 2002

This study was carried out to investigate the effect of bovine plasma for the preparation of mayonnaise on quality characteristics through the tests of viscosity, color, emulsion stability and sensory evaluation. In the case of standard mayonnaise preparation with the bovine plasma addition from 0.01% to 0.1%, The result of viscosity, color, emulsion stability and acceptability are improved. When the bovine plasma(5%) was only used to Prepare mayonnaise without e99 yolk, the result of color and acceptability were reduced, whereas viscosity, emulsion stability were observed as the characteristic of standard mayonnaise. The sample mayonnaise containing the e99 yolk(50%) and bovine Plasma (0.5～1.0%) was observed as the characteristics of standard mayonnaise without color.

• Journal of the East Asian Society of Dietary Life
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• v.13 no.3
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• pp.191-196
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• 2003

The purpose of this study was to propose the optimal blending ratio of honey, dextrose syrup and salt with regard to the amount of soybean powder for the manufacture of soybean Dasik. For the establishment of addition amount of honey, dextrose syrup and salt, the sensory characteristics were compared in relation to the physiochemical characteristics and color values. The results were summarized as follows: Soybean Dasik contained 16.77 % protein. As the results of sensory evaluation in according to color values, taste and moistness, the optimal blending ratio of honey and dextrose syrup was 80~90%, and that of salt 0.06% in proportion to the total weight of soybean powder. As the test results of mechanical characteristics, hardness of soybean Dasik decreased as the increasing of the addition amount of honey and dextrose syrup. Cohesiveness, gumminess, brittleness and springiness did not show any significant differences statistically. Lightness(L) decreased as the increasing of addition amount of honey and dextrose syrup. Redness(a) was high at the 90% addition level, but yellowness(b) not significantly different at the 70, 80 and 90% level of honey and dextrose syrup to the total weight of soybean powder. Therefore, the optimal blending ratio of soybean Dasik was proposed at the levels of 45% honey, 45% dextrose syrup and 0.06% salt to the total weight of soybean powder.

• The Korean Journal of Nuclear Medicine
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• v.34 no.6
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• pp.439-444
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• 2000

PACS (Picture Archiving and Communication System) is being rapidly spread and installed in many hospitals, but most of the system do not include nuclear medicine field. Although additional costs of hardware for nuclear medicine PACS is low, the complexity in developing viewing software and little market have made the nuclear medicine PACS not popular. Most PACS utilize DICOM 3.0 as standard format, but standard format in nuclear medicine has been Interfile. Interfile should be converted into DICOM format if nuclear images are to be stored and visualized in most PACS. Nowadays, many vendors supply the DICOM option in gamma camera and PET. Several hospitals in Korea have already installed nuclear PACS with DICOM, but only the screen captured images are supplied. Software for visualizing pseudo-color with color lookup tables and expressing with volume view should be developed to fulfill the demand of referring physicians and nuclear medicine physicians. PACS is going to integrate not only radiologic images but also endoscopic and pathologic images. Web and PC based PACS is now a trend and is much compatible with nuclear medicine PACS. Most important barrier for nuclear medicine PACS that we encounter is not a technical problem, but indifference of investor such as administrator of hospital or PACS. Now it is time to support and invest for the development of nuclear medicine PACS.

• Journal of the Korean Society of Food Culture
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• v.7 no.1
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• pp.19-23
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• 1992

Jindo Hongju is a traditional liquor in Jindo island of Korea. The characteristics of Hongju are its unique flavour by fermetation and red color of gromwell(Lithospermum erythrorhizon) root. However, the evaluation of red pigment is different from one manufactures to other manufactures and from place to place, also the standard method is not established. An attempt has made to compare the quality of gromwell root from different places and to standardize the extracting method. The results obtained from this study are summerized as follow, The chemical properties and composition of gromwell root from Jindo and other areas were compared. There were no difference among the samples in moisture content, content of naphtoquinone derivatives and absoption spectra. These results indicate that the pigments from Jindo and other region products seems to be the same quality. For efficient extraction of gromwell pigment, more than 40% ethanol as solvent and at least 10 hours extraction time was required. According to the visual test for Hongju pigment, the most preferable color was that it shows absorbance of 1.0 (contents of shikonin was 3.90 mg/45% EtOH 20 ml). From this visual test it can be proposed that the may be applied absorbance at 1.0 for the quality control of pigment.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.241-246
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• 2004

The ocean signal that reaches the detector of an imaging system after multiple interactions with the atmospheric molecules and aerosols was retrieved from the total signal recorded at the top of the atmosphere (TOA). A simple method referred to as 'Path Extraction' applied to the Landsat-TM ocean imagery of turbid coastal water was compared with the conventional dark-pixel subtraction technique. The shape of the path-extracted water-leaving radiance spectrum resembled the radiance spectrum measured in-situ. The path-extraction was also extended to the SeaWiFS ocean color imagery and compared with the standard SeaWiFS atmospheric correction algorithm, which relays on the assumption of zero water leaving radiance at the two NIR wavebands (765 and 865nm). The path-extracted water-leaving radiance was good agreement with the measured radiance spectrum. In contrast, the standard SeaWiFS atmospheric correction algorithm led to essential underestimation of the water-leaving radiance in the blue-green part of the spectrum. The reason is that the assumption of zero water-leaving radiance at 755 and 865nm fails due to backscattering by suspended mineral particles. Therefore, the near infrared channels 765 and 865nm used fur deriving the aerosol information are no longer valid for turbid coastal waters. The path-extraction is identified as a simple and efficient method of extracting the path radiance largely introduced due to light interaction through the complex atmosphere carried several aerosol and gaseous components and at the air-sea interface.interface.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.556-564
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• 2021

Numerous spatial and transform-domain-based conventional denoising algorithms struggle to keep critical and minute structural features of the image, especially at high noise levels. Although neural network approaches are effective, they are not always reliable since they demand a large quantity of training data, are computationally complicated, and take a long time to construct the model. A new framework of enhanced hybrid filtering is developed for denoising color images tainted by additive white Gaussian Noise with the goal of reducing algorithmic complexity and improving performance. In the first stage of the proposed approach, the noisy image is refined using a high-dimensional non-local means filter based on Principal Component Analysis, followed by the extraction of the method noise. The wavelet transform and SURE Shrink techniques are used to further culture this method noise. The final denoised image is created by combining the results of these two steps. Experiments were carried out on a set of standard color images corrupted by Gaussian noise with multiple standard deviations. Comparative analysis of empirical outcome indicates that the proposed method outperforms leading-edge denoising strategies in terms of consistency and performance while maintaining the visual quality. This algorithm ensures homogeneous noise reduction, which is almost independent of noise variations. The power of both the spatial and transform domains is harnessed in this multi realm consolidation technique. Rather than processing individual colors, it works directly on the multispectral image. Uses minimal resources and produces superior quality output in the optimal execution time.

• Journal of Korea Game Society
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• v.20 no.6
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• pp.53-62
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• 2020

This paper proposes on the implementation method of depth of field effect based on backward mapping method available in real-time rendering enviroment using calculation of sampling range based on standard normal distribution and alpha blending of color of layers. To implement the effect, this paper describe how to calculate radius of circle of confusion, establish sampling radius using circle of confusion, and determine color through alpha blending of the multiple layer and denoising.