• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.2
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• pp.15-30
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• 2007

The purpose of this study is to investigate the effect of makeup, clothing tone and clothing style on wearer's with same color coordination of lipstick and clothing. The experimental materials developed for this study were a set of stimulus and response scales (7-point scale semantic). The stimuli were 64 color pictures were manipulated by computer simulation. This experiment design was $2{\times}2{\times}4{\times}4$ factorial design. The stimuli were a set of eyeshadow color(brown), clothing style (formal style of Jacket / skirt and casual style of cardigan / pants), lipstick and clothing color (red and orange), lipstick tone(vivid, light, dull and dark), clothing tone(vivid, light, dull and dark). The subjects of this research were 384 female undergraduates living in Gyeongsangnam-do. The investigation was carried out at a lecture hall at the time between 10 a.m. and 3 p.m. in May 2006. The data were analyzed using SPSS program. Factor analysis, 4-way ANOVA, t-test, and Duncan test were used as analysis methods. Image factors according to variation of clothing style, clothing color, and makeup color are composed of 4 different dimensions (visibility, attractiveness, tenderness, and stability). In dimension of the visibility, the image was perceived to be glowing and luxurious regardless of lipstick tone and lipstick color in the case of the vivid tone clothing. According to the variation of clothing style, clothing color and tone, makeup color composed of eyeshadow color, lipstick color and tone, it was investigated that the images for a clothing wearer were expressed diversely, were shown differently in image dimensions, and could be produced to different images. The analysis data for images according to the combination of makeup and clothing color, tone, and style thus provide basic material for image consulting or color coordination.

• Journal of the Korea Fashion and Costume Design Association
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• v.6 no.3
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• pp.139-152
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• 2004

The main objective of this research is to investigate the color coordination types and their characteristics of contemporary female fashion by reviewing 'pre-a-porter Collections' of four collections (i.e., cities) - Paris, Milan, New York, London - from the periods of 2000 S/S to 2002/3 A/W. Through the review of various books and articles written on the subject, the color coordination types and their characteristics were categorized and defined. The data was collected by reviewing 'pre-a-porter Collections' magazine and total 4,269 observations were made. These in turn were categorized into eight color coordination and three color tone categories through the content analysis. Frequency analysis was used to analyse the data. The findings are as follows; First of all, there were 8 observable color coordination categories in contemporary women's fashion. The most used color coordination was chromatic & achromatic color coordination. It was followed by chromatic identical, and then by achromatic identical color coordination. These three color coordinations were the majority, comprizing 73.4％ of the total. The rest were in the order of complementary, gradation, similarity, accent. And the most used tone type was contrasting tone and followed by similar and identical. Next, the analysis of each coordination categories shows that; The chromatic identical coordination focused on presenting its own unity or break it using the contrasting color tone. Meanwhile, the achromatic identical coordination project a clean and strong feeling through black and white combination or a subtle feeling through the different material combination. The chromatic & achromatic coordination showed strong colors and contrasting tones of clear and bright colors. Meanwhile, the characteristics of complementary coordinations are that these coordinations seem to free the colors and show the subtle changes in tones very clearly. The gradation coordination was used to create a cool and lively feeling. Next, the similarity coordination seems to create feminine and warm feeling by taking advantage of similar color feelings, often through the use of warm to warm, cool to cool color matching. Lastly, the accent coordination, through the use of contrasting tones emphasizes the differences in colors, while separation coordination mostly uses black and white on various color coordinations.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.103-111
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• 2009

This study is to help make-up and coordination for image-making after analysis of facial color and shape of elderly women. The data was analyzed 55-75 years old 212 elderly women's face color and pictures by means of SPSS 12.0 statistics package. On the basis of the colorimetric data on face by Minolta CM2500D, this research considered the analysis of facial color, patternization of facial color and its analysis by age group; for the analysis of facial shape, this research patternized facial shape and analyzed its characteristic using both contour-based facial shape analysis and Kamata facial shape analysis. As for facial color, it was found that the lower age bracket has bright and reddish face, looking fine, while the higher age bracket has a conspicuously yellowish face, looking bad. The community of facial color is classified as 3 types and it was found out that the facial color of the subjects belonging to Type 3, whose L value is the largest, looked the brightest; the face of the subjects belonging to Type 2, whose a value is the largest, was much tinged with red, and the face of the subjects belonging to Type 1, whose b value is the largest were tinged with yellow. According to the analysis of facial shape, there appeared oval & long forms in the classification by contour, while there appeared a lot of downward-directed power and inner-directed power in the classification by Kamata, which is believed to reflect the phenomenon that their chin line becomes roundish and the facial length also tend to be longer due to aging.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1628-1630
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• 1997

The purpose of this study is to see the method of the analysis of EEG(Electroencephalography) whcih is a nonlinear system, to quantize human emotion under color stimulation using the analysis of EEG. The result of this study would be used clinical study and development fo image instruments with color. In this study, the method of the analysis of EEG is power spectrum using FFT(Fast Fourier Transform) and the modelling of EEG under color stimulation base on back propagation Neural Networks ond of AI(Artfical Intellignece) skills. First, input layer make a match to relative power which get analyzing s in 4 channels, and output layer make a match to color stimulation which is measured human emotion. Finally, weights of each neurons determine by learing back porpagation Neural Networks.

• Proceedings of the Korean Printing Society Conference
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• 2000.12a
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• pp.0.2-0
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• 2000

Most important step for the color matching in scanner is the color coordinate transformation from the scanner RGB space to device independent uniform color space. A variety of color calibration technologies have been developed for input device. Linear or nonlinear matrices have been conveniently applied to correct the color filter\`s mismatch with color matching function in scanners. The color matching accuracy is expected to be further improved when the nonlinear matrices are optimized into subdivided smaller color spaces than in single matrix of the entire color space. This article proposed the scanner calibration method using subspace division regression analysis and it were compared with conventional method.

• Journal of the Korean Graphic Arts Communication Society
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• v.19 no.1
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• pp.4-16
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• 2001

Most important step for the color matching in scanner is the color coordinate transformation from the scanner RGB space to device independent uniform color space. A variety of color calibration technologies have been developed for input device. Linear or nonlinear matrices have been conveniently applied to correct the color filter's mismatch with color matching function in scanners. The color matching accuracy is expected to be further improved when the nonlinear matrices are optimized into subdivided smaller color spaces than in single matrix of the entire color space. This article proposed the scanner calibration method using subspace division regression analysis and it were compared with conventional method.

• Transactions of The Korea Fluid Power Systems Society
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• v.8 no.4
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• pp.24-31
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• 2011

Double-color Injection molding machine is the assembly of many kinds of mechanical, fluid power part and electric electronic control system. From in these, fluid power is a part where becomes the first core of this machine. Fluid power systems of double-color injection molding machine are modelled and analyzed using a commercial program AMESim. Partial system models which is divided according to functional operation are made and its analysis results shows how design parameters work on operational characteristics like pressure, flow rates, displacement at each node and so on. Analysis modeling and compared the data which gets from experiment and the analysis result which has a reliability got data. The results made by analysis will be used design of fluid power circuit for developing a double-color injection molding machine.

• Journal of the Korean Dietetic Association
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• v.3 no.1
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• pp.63-73
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• 1997

This study was conducted to evaluate the industry foodservice management practices and to suggest guidelines for the effective foodservice management. The survey for the analysis was conducted through the questionnaires to dietitians. They were divided into two groups : the site color worker and the blue color worker. The questionnaires were received for a response rate of 73.2%. Statistical data analysis was completed using the SAS programs for descriptive analysis, $x^2$ test, T-test, F-test, and Fisher's LSD. The results of the study can be summarized as follows : 1) The level of education of dietitians and food cost in the employee feeding operations for the blue color worker was lower than the employee feeding operations for the white color worker. 2) The labor productivity indices were not significantly different according to types of workers. But in the employee feeding operations for the blue color worker, full-time foodservice employees worked more than 10.7 hour per week than their counterpart. This indicates the full-time foodservice employees in the employee feeding operations for the blue color worker performed more loaded work compared to the employee feeding operations for the white color worker. 3) Equipped rate of facilities in the employee feeding operations for the blue color worker was low especially in the food preparation and cooking processes.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.1B
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• pp.112-119
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• 2000

A two-color infrared (IR) seeker employs two detection-bands for efficient target tracking under countermeasures and background noises. This paper describes a study on the detection-band selections for the two-color seeker. To select the detection-bands, we analysis infrared radiation characteristics of a target, a flare, and background noises and then other characteristics closely related with the received power, such as the atmospheric transmission, acquisition range, background noise effect, and signal-to-noises. The analysis shows that the pertinent bands of two-color IR seeker are 3 um~5 um for target detection and 1.5 um~l.7 um for counter-countermeasures. The results of our study will play a significant role in the further study of two-color seekers.

• Journal of Biosystems Engineering
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• v.32 no.4
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• pp.256-262
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• 2007

Image processing systems have been used to measure the plant parameters such as size, shape and structure of plants. There are yet some limited applications for evaluating plant colors due to illumination conditions. This study was focused to present adaptive methods to analyze plant leaf color regardless of illumination conditions. Color patches attached on the calibration bars were selected to represent leaf colors of lettuces and to test a possibility of health monitoring of lettuces. Repeatability of assigning leaf colors to color patches was investigated by two-tailed t-test for paired comparison. It resulted that there were no differences of assignment histogram between two images of one lettuce that were acquired at different light conditions. It supported that use of the calibration bars proposed for leaf color analysis provided color constancy, which was one of the most important issues in a video color analysis. A health discrimination equation was developed to classify lettuces into one of two classes, SOUND group and POOR group, using the machine vision. The classification accuracy of the developed health discrimination equation was 80.8%, compared to farmers' decision. This study could provide a feasible method to develop a standard color chart for evaluating leaf colors of plants and plant health monitoring system using the machine vision.