• Journal of the Korean Society of Food Culture
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• v.30 no.2
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• pp.182-189
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• 2015

This study assessed the effect of color marketing in the RTD coffee industry in Korea. In order to investigate the effect of color marketing, this study measured the characteristics of color marketing as well as brand image and attitude in accordance with behavioral intention to purchase. Data were collected using questionnaires, and a total of 310 questionnaires were distributed with 298 entered for data analysis. Frequency analysis, factor analysis, correlation, and multiple regression analysis were tested using SPSS. A total of seven factors were extracted, including brand attitude, purchase intention, association, identification, brand awareness, symbolism, and attention. Significances were found between brand awareness and identification (p<0.001) and attention (p<0.001). In the relationship between characteristics of colors and brand attitude, significances were found in identification (p<0.001), attention (p<0.001), and association (p<0.001). Further, brand attitude and brand awareness had a significant positive effect on purchasing intention of RTD coffee. Results of this study suggested that color marketing is a good marketing tool to persuade potential consumers to purchase RTD coffee based on brand attitude and brand awareness.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.89-97
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• 2015

In this paper, a method of color image segmentation based on DBSCAN(Density Based Spatial Clustering of Applications with Noise) using compactness of superpixels and texture information is presented. The DBSCAN algorithm can generate clusters in large data sets by looking at the local density of data samples, using only two input parameters which called minimum number of data and distance of neighborhood data. Superpixel algorithms group pixels into perceptually meaningful atomic regions, which can be used to replace the rigid structure of the pixel grid. Each superpixel is consist of pixels with similar features such as luminance, color, textures etc. Superpixels are more efficient than pixels in case of large scale image processing. In this paper, superpixels are generated by SLIC(simple linear iterative clustering) as known popular. Superpixel characteristics are described by compactness, uniformity, boundary precision and recall. The compactness is important features to depict superpixel characteristics. Each superpixel is represented by Lab color spaces, compactness and texture information. DBSCAN clustering method applied to these feature spaces to segment a color image. To evaluate the performance of the proposed method, computer simulation is carried out to several outdoor images. The experimental results show that the proposed algorithm can provide good segmentation results on various images.

• Fashion & Textile Research Journal
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• v.5 no.4
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• pp.337-350
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• 2003

Fiber industry is export leading industry that guide national economy development after the 1960s in Korea. But lately, including China and Southeast Asia pursuit, domestic fiber industry is taking serious situation. Various kind methods can be proposed for high value added in fiber industry, the research about color is essential. The importance of color is increasing in modern textile and fashion industry. Color is important factor of textile and fashion industry because color affects strong influence in human's sensitivity. Color expresses by hue, value and chroma but fashion industry is using mainly hue and tone color system. Daegu Gyeongbuk area is domestic maximum syntheic fiber producing district. This study planned the polyester standard color collections for general color management of the polyester industry in Daegu Gyeongbuk. As basic research for this I investigated the color appearance distribution of polyester fabrics in Daegu Gyeongbuk that were produced for the recently 10 years and Japanese polyester color collections "SCOTDIC 2450". Reflect these study finding, in this research planned the usable standard color collections "Hue and Tone Polyester Standard Color 288". This research constructs insufficient domestic color infrastructure and expect that basic role to develop the competitive power for Korean fiber industry.

• Journal of the Korean Society of Fashion and Beauty
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• v.4 no.1 s.7
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• pp.12-18
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• 2006

The analysis has an objective of presenting a standard of human image making by producing results of characteristics and individual human image of each color appropriate for the personality through enneagram that is a personality analysis program. The study was done on 200 adults living in the whole country from Oct. 4 to Oct. 18th, 2004. In the survey, 11 colors were selected. The followings show the 9 personalities. 1.Instinct type preferred Blue(blue+navy) color. 2. Feeling type preferred Red(red+orange) color. 3. Thinking type preferred Yellow(yellow+green) color. The study results tend to match the expected preference of color for each personality. In the Human image management, the individual distinction of 3 personality classes need to be analyzed in order to develop individual and created personality by preferred color. It is very important to examine the image for color each personality pursuits through the analysis. Also, there need to more participants of the study so that results can be analyzed more inclusively and there should more in-depth study.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.267-273
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• 2017

With the development of various devices and communication technologies, the production and distribution of various multimedia contents are increasing exponentially. In order to retrieve multimedia data such as images and videos, an approach different from conventional text-based retrieval is needed. Color and shape are key features used in content-based image retrieval, which quantifies and analyzes various physical features of images and compares them to search for similar images. Color and shape have been used as independent features, but the two features are closely related in terms of cognition. In this paper, a method of describing the spatial distribution of color using a complex color model that projects three-dimensional color information onto two-dimensional complex form is proposed. Experimental results show that the proposed method can efficiently represent the shape of spatial distribution of colors by frequency transforming the complex image and reconstructing it with only a few coefficients in the low frequency.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.59-68
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• 2023

Currently, yellow phosphor of Y3Al5O12:Ce3+ (YAG:Ce) fluorescent material is applied to a 450~480nm blue LED light source to implement a white LED device and it has a simple structure, can obtain sufficient luminance, and is economical. However, in this method, in terms of spectrum analysis, it is difficult to mass-produce white LEDs having the same color coordinates due to color separation cause by the wide wavelength gap between blue and yellow band. There is a disadvantage that it is difficult to control optical properties such as color stability and color rendering. In addition, this method does not emit purple light in the range of 380 to 420nm, so it is white without purple color that can not implement the spectrum of the entire visible light spectrum as like sunlight. Because of this, it is difficult to implement a color rendering index(CRI) of 90 or higher, and natural light characteristics such as sunlight can not be expected. For this, need for a method of implementing sunlight with one LED by using a method of combining phosphors with one light source, rather than a method of combining red, blue, and yellow LEDs. Using this method, the characteristics of an artificial sunlight LED device with a spectrum similar to that of sunlight were demonstrated by implementing LED devices of various color temperatures with high color rendering by injecting phosphors into a 405nm deep blue LED light source. In order to find the spectrum closest to sunlight, different combinations of phosphors were repeatedly fabricated and tested. In addition, reliability and mass productivity were verified through temperature and humidity tests and ink penetration tests.

• Archives of design research
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• v.16 no.3
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• pp.161-174
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• 2003

Choice and use of color are very important field for designer. Present color sprang by central field of design business unlike past. Color is used mainly by three fields of sensitivity, administration, mind. But, do substantial design including all of three fields at use. Practical research field that is based on basic research when see as actuality of domestic color design is been behind real condition. Specially, color sensitivity field and color management field are very important field, it can speak that color name arid related area are most important among two. Because collar name includes sensitivity and color management. This research constructs correct data because investigate and analyze and search all compatible color names that is announced in existing or is recorded in public cosmopolitanly. As a result, it is to promise accuracy when produce creation of idea and result of design using color name. Examined laying stress on color that domestic data that is used in research is basis with Korean industrial Standard, connection literature, on-the-spot probe. International data investigated American ISCC-NBS to base. Other abroad color name data examined official data of each country all systematically with Japan, Europe. Findings about 11,000 basis color names and 33,000 application color names sorted collection. Collection method and classification system follow in international standard and arranged for user's tile convenience. Also, use frequency did laying stress on Munsell that is high color system so that can aid in industrial design business. Improved to write all international standard color values sue as RGB, CMYK, XYZ and can be applied all in each field of design. Is applying and get along with continuation improvement and development in homepage of present KIDP, it may become more worth research.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.161-162
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• 2013

본 논문에서는 Mental ray 렌더러를 통해 렌더링 된 이미지의 색감과 사실적인 빛의 감쇠효과를 위해 사용되는 Color Management를 활용한 Linear Work Flow 작업과정을 제시하고 그 이론적인 배경을 설명하고자 한다. 디지털로 사용되는 대부분의 이미지 포맷은 모든 모니터에서 동일한 색감을 표현하기 위해 sRGB라는 표준화된 형식을 사용하고 있다. 하지만 Mental ray는 기본적으로 감마 커브가 1.0으로 이루어진 이미지를 렌더링한다. sRGB가 가지고 있는 2.2의 감마커브와 차이가 발생함에 따라 사용자가 원하는 색감을 얻어내기 어렵다. 반면에 Color Management를 활용해 렌더링 된 이미지의 감마 커브를 수정해주면 3D 소프트웨어로 사용 된 텍스쳐의 원본 색감을 렌더링 후에도 유지할 수 있다. 또한 라이팅의 감쇠(Decay)와 산란에도 영향을 주어 보다 풍부한 색감의 이미지를 얻게 된다. 본 연구에서는 Autodesk Maya의 Mental Ray를 이용해 실험을 하고 Color Management를 활용한 이미지와 그렇지 않은 이미지를 비교 분석한다. 연구의 범위는 제품 렌더링을 위한 스튜디오 라이팅 기법으로 한정하였다.

• Journal of the Korean Graphic Arts Communication Society
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• v.25 no.1
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• pp.11-26
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• 2007

In this paper, an experiment was done where the input device used the linear multiple regression and the sRGB color space to perform a color transformation. The output device used the GOG, GOGO and sRGB for the color transformation. After the input device underwent a color transformation, a $3\;{\times}\;20\;size$ matrix was used in a linear multiple regression and the scanner's color representation of scanner was better than a digital still camera's color representation. When using the sRGB color space, the original copy and the output copy had a color difference of 11. Therefore it was more efficient to use the linear multiple regression method than using the sRGB color space. After the input device underwent a color transformation, the additivity of the LCD monitor's R, G and B signal value improved and therefore the error in the linear formula transformation decreased. From this change, the LCD monitor with the GOG model applied to the color transformation became better than LCD monitors with other models applied to the color transformation. Also, the color difference varied more than 11 from the original target in CRT and LCD monitors when a sRGB color transformation was done in restricted conditions.

• Proceedings of the IEEK Conference
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• 2004.08c
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• pp.846-849
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• 2004

Compared to the bar code which is being widely used for commercial products management, color code is advantageous in both the outlook and the number of combinations. And the color code has application areas complement to the RFID's. However, due to the severe distortion of the color component values, which is easily over $50{\%}$ of the scale, color codes have difficulty in finding applications in the industry. To improve the accuracy of recognition of color codes, it'd better to statistically process an entire color region and then determine its color than to process some samples selected from the region. For this purpose, we suggest a technique to detect edges between color regions in this paper, which is indispensable for an accurate segmentation of color regions. We first transformed RGB color image to HSI and YIQ color models, and then extracted I- and Y-components from them, respectively. Then we performed Canny edge detection on each component image. Each edge image usually had some edges missing. However, since the resulting edge images were complementary, we could obtain an optimal edge image by combining them.