• The Korean Journal of Pain
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• v.34 no.3
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• pp.339-345
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• 2021

Background: Ultrasound-guided caudal epidural injection (CEI) is limited in that it cannot confirm drug distribution at the target site without fluoroscopy. We hypothesized that visualization of solution flow through the inter-laminar space of the lumbosacral spine using color Doppler ultrasound alone would allow for confirmation of drug distribution. Therefore, we aimed to prospectively evaluate the usefulness of this method by comparing the color Doppler image in the paramedian sagittal oblique view of the lumbosacral spine (LS-PSOV) with the distribution of the contrast medium observed during fluoroscopy. Methods: Sixty-five patients received a 10-mL CEI of solution containing contrast medium under ultrasound guidance. During injection, flow was observed in the LSPSOV using color Doppler ultrasonography, following which it was confirmed using fluoroscopy. The presence of contrast image at L5-S1 on fluoroscopy was defined as "successful CEI." We then calculated prediction accuracy for successful CEI using color Doppler ultrasonography in the LS-PSOV. We also investigated the correlation between the distribution levels measured via color Doppler and fluoroscopy. Results: Prediction accuracy with color Doppler ultrasonography was 96.9%. The sensitivity, specificity, positive predictive value, and negative predictive value were 96.7%, 100%, 100%, and 60.0%, respectively. In 52 of 65 patients (80%), the highest level at which contrast image was observed was the same for both color Doppler ultrasonography and fluoroscopy. Conclusions: Our findings demonstrate that color Doppler ultrasonography in the LS-PSOV is a new method for determining whether a drug solution reaches the lumbosacral region (i.e., the main target level) without the need for fluoroscopy.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.04a
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• pp.300-303
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• 2009

The purpose of this study is to grasp the preference of colors in housing spaces by different type of personality and color preference by classifying dwellers various characteristics by MBTI to obtain basic informations for the color plan that satisfies their inner desire. The results of this study are as followed. Firstly, we could say about the color distribution of living spaces like that. The ceiling and general wall showed that N(white) systems and YR of bright tone was mostly distributed. The color of floor showed that the calm tone of YR was mostly distributed. Secondly, as for the favored colors of finishing material at each space, the biggest distribution of preference color was found as N(white) group(series) in case of ceilings. As for general walls, bright tone of N(white) group showed most in living rooms. In case of that of the floor, it showed the largest distribution of calm tone of YR. Point wall was preferred bright and brilliant in various kinds of color. Thirdly, as in favor of colors of closing materials, sensible types(S) are concentrated on common color groups, on the other hand, intuition types(N) prefer color groups of various kinds not only general preferred colors.

• Journal of the Korean Graphic Arts Communication Society
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• v.25 no.2
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• pp.15-28
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• 2007

For the color offset printing, it starts with input of data. The past days, drum scanner or flat scanner used to input of data, but now it changes gradually into using of digital camera because digital camera become popular. The high quality digital camera saves as a data(RAW format), sRGB which have built in digital camera, or Adobe RGB format. sRGB of ICC(International Color Consortium) profile is a standard color gamut of digital camera. Distribution of color gamut in sRGB is less than Adobe RGB have a distribution in ICC profile. sRGB also can not be expressed in some specific part, because distribution of color gamut in sRGB is not able to cover all parts in ICC Profile of international standards CMYK. It is more popular to use Adobe RGB than sRGB to do high quality offset printing and software basis color setting in Europe and Japan. In spite of this data basis, there is a difficulty of doing color correction between the color proofing prints and the final prints. To see how the software color setting effects to RGB data, this thesis will use Gretag Macbeth ColorChecker 24 patch which has the most general natural color chart to compare sRGB and Adobe RGB to check the differences of color changes. It will use the several factors that came out from the process of making ICC Profile to figure out the optimum In-house profile. It also compares the differences of using matt paper and glossy paper to do best quality color proof offset printing, and how the Rendering Intent effects the proof print.

• Journal of the Korean Graphic Arts Communication Society
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• v.18 no.1
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• pp.103-112
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• 2000

The color space transformation to link device-dependent color spaces and device-independent color spaces is essential for device characterization and cross-media color reproduction. There are various color conversion methods such as regression, 3D interpolation with LUT(look-up table), and neural network. In the color transformation with these methods, the conversion accuracy is essentially based on the sample data to be exploited for device characterization. In conventional method, color samples are uniformly selected in device-dependent space such as CMY and RGB. However, distribution of these color samples is very non-uniform in device-independent color space such as CIEL*a*b*. Accordingly, the conversion error in device-independent color space is irregular according to the distribution of the samples. In this paper, a color sampling method based on equi-visual perception is proposed to obtain approximate uniform color samples in CIEL*a*b* space. In order to evaluate transformation accuracy of proposed method, color space transformations are simulated using regression, 3D interpolation with LUT and neural network techniques, respectively.

• Journal of the Korean Society of Costume
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• v.58 no.2
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• pp.62-77
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• 2008

This study aims to analyze color characteristics centered by women's suit styles that represent masculinity remarkably. Through this, it figures out color's type and continuance availability as a representing tool to express masculinity to provide useful color information which can be applied effectively to various color planning. For this research, related images were collected among women's pants suits appeared in $2004{\sim}2006's$ Paris, London, New York and Milan collection F/W that are most similar to modern man's suit. Among them, the study analyzes 319 pictures where the features of masculinity were represented effectively. The referred color values were earned by converting $L^*a^*b^*$ values measured through the color extracting tool of Computer program (Adobe Photoshop CS) and color tone characteristic were analyzed by classifying 12 color PCCS and 5 achromatic colors. The result of the study are as follows: First, based on standard of color hue and tone, in terms of color hue, PB, YR, Y were frequently shown up but G, BG series were not found much after analyzing overall women's pants suit color characteristics shown in $2004{\sim}2006$ Paris, London, New York and Milan collection. Second, the color analysis about 3years of $2004{\sim}2006$ tells that achromatic colors have been most widely used in every year. In terms of color hue, PB, YR, Y series were appeared most popular and G, BG classes weren't appeared frequently. In addition, once looking at yearly color tone distribution trend, like overall color tone distribution result, Bk, w, dkg, g, p were highly used as sequential and b, v, dp, sf, ItGy series show low distribution level. And such a distribution level of low and high in frequency has been showed continuously as a similar style. Accordingly, through the study, as a tool to express masculinity in women's suit, achromatic colors like black and white series and PB, YR, Y series color were investigated as most popular uses. And as color tones, Bk, w, dkg, g, p were used frequently.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.10
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• pp.58-71
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• 1999

When the same image is displayed in many different devices, the reproduced colors are not same due to the differences in the gamut between devices. Therefore, many gamut mapping method were proposed to solve this problem. In this paper, color discrimination enhancement gamut mapping method using color distribution rearrangement is proposed to reduce the unnecessary distortions by compression mapping and to minimize the decrease of color discrimination by clipping method. The proposed method constructs color distribution, the 3-dimension array of input image's colors. if the maximum of color distribution is within the boundary of printer gamut. the colors are mapped to the same colors. Otherwise, out-of-gamut colors are compressed into the printer gamut with minimum distortion. Consequently, the printer output image was highly consistent with the corresponding monitor image and had an enhanced color discrimination in region where high chroma varied linearly.

• Journal of Fashion Business
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• v.11 no.6
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• pp.115-124
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• 2007

The cross-section of the polyester filament yarn has been modified to have a variety of shape for aesthetic, added functions and sensitivities, and other purposes. Transparent polyester filament of trilobal cross-section has unique optical properties with high anisotropic reflectivity and transmissivity. The monofilament yarns may be utilized to impart to the fabrics lustrous appearance along with unique color change in case differently dyed yarns are woven together. The color changes of the fabric specimens according to the changes in observation and lighting conditions were analyzed using a CCD camera and an image analysis software. The changes of color/luster of the fabric specimens were measured and analyzed based on RGB, $L^*a^*b^*,\;L^*C^*h,$ and the color distribution within a three-dimensional color space.

• Journal of the Optical Society of Korea
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• v.15 no.1
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• pp.44-51
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• 2011

In this paper, an easy-to-use measurement device for illumination distribution is developed. The device consists of a sensor array module, a control module, and a PC interface. The sensor array module incorporates CIE 1931 color sensors and the ARM-based 96 MHz microcontroller in the control module for measurement and data processing. The sensor array module contains 64 color sensors arranged in a $16{\times}4$ array. The sensitivity of the sensor array module can be adjusted depending on the illumination level to be measured. The measurement data and control signals are exchanged via USB 2.0 standard. To demonstrate the performance of the device, the illumination distribution is measured for colors of red, green, and blue and is graphically shown. The device can be used for measurement of the illumination distribution, design and adjustment of LED illumination.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.1
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• pp.10-16
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• 2007

In this paper, we propose a technique for retrieving images using spatial color correlation and texture characteristics based on local fourier transform. In order to retrieve images, two new descriptors are proposed. One is a color descriptor which represents spatial color correlation. The other is a descriptor combining the proposed color descriptor with texture descriptor. Since most of existing color descriptors including color correlogram which represent spatial color correlation considered just color distribution between neighborhood pixels, the structural information of neighborhood pixels is not considered. Therefore, a novel color descriptor which simultaneously represents spatial color distribution and structural information is proposed. The proposed color descriptor represents color distribution of Min-Max color pairs calculating color distance between center pixel and neighborhood pixels in a block with 3x3 size. Also, the structural information which indicates directional difference between minimum color and maximum color is simultaneously considered. Then new color descriptor(min-max color correlation descriptor, MMCCD) containing mean and variance values of each directional difference is generated. While the proposed color descriptor includes by far smaller feature vector over color correlogram, the proposed color descriptor improves 2.5 % ${\sim}$ 13.21% precision rate, compared with color correlogram. In addition, we propose a another descriptor which combines the proposed color descriptor and texture characteristics based on local fourier transform. The combined method reduces size of feature vector as well as shows improved results over existing methods.

• Journal of Fashion Business
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• v.26 no.2
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• pp.48-66
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• 2022

This study aimed to investigate and analyze the overall color utilization characteristics as design elements of advanced men's premium outer brands. From the analysis of a total of 889 color samples, PB showed the highest distribution in color, Bk, R, and P. The use of ltg and p of high and low chroma was high, centering on dkg of low value and low chroma, and g of medium chroma. The men's premium outer brand displays a luxurious color image centered on color planning due to color contrast between dark and grayish shades. The characteristics of colors and color distribution by brand were considered. The brands that utilized the most diverse colors and shades were Herno, which pursues sportswear of the Elegance image, and Stone Island, which pursues casual images of workwear style. These results show that systematic planning using colors and shades are utilized by all premium outer brand concept. The results of this study are meaningful because they can be used as basic data for effective product planning, men's outer design development, and color planning of outer clothing brands are they represent premium outer brands for men, and identifies color characteristics as differentiated design elements.