• The Korean Journal of Rehabilitation Nursing
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• v.6 no.2
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• pp.192-200
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• 2003

Purpose: This study was done to describe the correlation among the blue color worker's health-promoting behavior, occupational life-satisfaction and self-esteem. Method: The subjects consisted of 190 industrial workers employed in one electronics manufacturing plant in Gumi and were obtained by a convenience sample. Data were collected from October 6th to 17th, 2002 by structured questionnaires. The instruments for this study were Health Promoting Lifestyle Profile(47 items), Occupational Life-satisfaction Scale(20 items) and Self-esteem Scale(10 items). Frequency, percentage, t-test, ANOVA, Duncan test and Pearson's correlation coefficient with SAS program were used to analyze the data. Result: 1) The average item score for the health-promoting behavior was 3.01; the highest score on the subscale was self-actualization(M=3.39) with the lowest being exercise(M=2.37). 2) The average item score for the occupational life-satisfaction was 2.96. 3) The average item score for the self-esteem was 2.83. 4) Health-promoting behavior was significantly different according to educational level and age. 5) Occupational life satisfaction was significantly different according to age and religion. 6) Self-esteem was significantly different according to age. 7) Health-promoting behavior was positively related to occupational life-satisfaction and self-esteem. The occupational life-satisfaction was positively related to self-esteem. Conclusion : It follows from this study that there is a very correlation among the blue color worker's health-promoting behavior, occupational life-satisfaction and self-esteem. Therefore health promoting programs that increase occupational life- satisfaction and self-esteem should be developed to promote a healthy lifestyle of the blue color workers.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.1
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• pp.13-21
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• 2019

The content based on image retrieval makes use of features of information within image such as color, texture and share for Retrieval data. we present a novel approach for improving retrieval accuracy based on DCT Filter-Bank. First, we perform DCT on a given image, and generate a Filter-Bank using the DCT coefficients for each color channel. In this step, DC and the limited number of AC coefficients are used. Next, a feature vector is obtained from the histogram of the quantized DC coefficients. Then, AC coefficients in the Filter-Bank are separated into three main groups indicating horizontal, vertical, and diagonal edge directions, respectively, according to their spatial-frequency properties. Each directional group creates its histogram after employing Otsu binarization technique. Finally, we project each histogram on the horizontal and vertical axes, and generate a feature vector for each group. The computed DC and AC feature vectors bins are concatenated, and it is used in the similarity checking procedure. We experimented using 1,000 databases, and as a result, this approach outperformed the old retrieval method which used color information.

• Journal of the Korean Society of Costume
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• v.59 no.6
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• pp.16-28
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• 2009

This study examined relationship among fashion product attributes of schoolbag, product satisfaction and repurchase intention. Total 315 questionnaires were distributed to the female/male students in Daegu and GyeongJu. Frequency analysis, factor analysis, reliability analysis, multiple regression were conducted using SPSS 13.0K statistics program as data analysis. The independent sample t-test was also conductd to examine the differences among sex, domicile, middle and highschool students. The findings hum the analysis are described in the following: First, female students is higher subjective fashion product attributes(fashion, individuality, refined) and objective fashion product attributes(design, color) importance than male students in purchasing schoolbag. High school students is higher subjective fashion product attributes(fashion, individuality) and objective fashion product attributes(brand, color) importance than middle school students in purchasing schoolbag. Second, product satisfaction are positive influenced by practicality and individuality of subjective fashion product attributes. Product satisfaction are not influenced by fashion and refined of subjective fashion product attributes. Third, product satisfaction are positive influenced by brand and design of objective fashion product attributes. Product satisfaction are not influenced by price and color of objective fashion product attributes. Forth, repurchase intention in schoolbag are strong positive influenced by product satisfaction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.127-130
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• 2007

This paper proposes a new Digital Watermarking based on Wavelet Transform for Color Images. To ensure the security of the watermark, enlarged watermark by applying linear bit expansion is inserted in a given intensity to a low frequency subband of the color image Y band which is Wavelet transformed after the Arnold Transformation. When detecting the presence of watermark, F norm function is applied unlike the existing methods. The experiment results verify that the proposed watermarking technique has outstanding quality in regards to fidelity and robustness.

• Fire Science and Engineering
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• v.22 no.4
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• pp.27-32
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• 2008

In this paper, a flame and smoke detection algorithm is proposed to recognize a fire. Flame and smoke have specific color distribution and continuously change shapes of them. In the proposed flame detection algorithm, specific regions are candidated as flame by color distributions and variations of frames of video. Some of candidated regions are decided as flame by the magnitude of motion vector. To determine smoke in the field of view of camera, edge is important because high frequency component is decreased by it. Candidated region of smoke is assigned by color distributions, inter-frame differences and the value of edge. The candidated region is settled as smoke region with magnitude of motion vector. As results of simulations, it is shown that the proposed algorithm is useful for flame and smoke detection.

• Journal of Korea Multimedia Society
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• v.9 no.1
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• pp.11-22
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• 2006

Recently face detection has actively been researched due to its wide range of applications, such as personal identification and security systems. In this paper, a new face detection method based on the distribution map is proposed. Face-like regions are first extracted by applying the skin color map with the frequency to a color image and then, possible eye regions are determined by using the pupil color distribution map within the face-like regions. This enables the reduction of space for finding facial features. Eye candidates are detected by means of a template matching method using weighted window, which utilizes the correlation values of the luminance component and chrominance components as feature vectors. Finally, a cost function for mouth detection and location information between the facial features are applied to each pair of the eye candidates for face detection. Experimental results show that the proposed method can achieve a high performance.

• The Journal of Natural Sciences
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• v.8 no.1
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• pp.137-143
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• 1995

The purpose of this study is to investigate the change of shrinkage, tensile strength, elasticity, light-fastness and color-fastness of 100% cotton upper under wear after acidic treatment and repeated washing and drying. Both of warp and welt were shrinked, especially in the early washing stage. Tensile strength was not weakened by 15 times of repeated washing. Hunter whiteness(HW) of white-underwear decreased, but color difference($\Delta$E) and yellow index(YI) increased corresponding to the frequency of washing and sunlight drying. The discoloration of color-underwear was significant in the early stage.

• Journal of Astronomy and Space Sciences
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• v.29 no.2
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• pp.199-208
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• 2012

The world's first geostationary ocean color imager (GOCI) is a three-mirror anastigmat optical system 140 mm in diameter. Designed for 500 m ground sampling distance, this paper deals with on-orbit modulation transfer function (MTF)measurement and analysis for GOCI. First, the knife-edge and point source methods were applied to the 8th band (865 nm) image measured April 5th, 2011. The target details used are the coastlines of the Korean peninsula and of Japan, and an island 400 meters in diameter. The resulting MTFs are 0.35 and 0.34 for the Korean East Coastline and Japanese West Coastline edge targets, respectively, and 0.38 for the island target. The daily and seasonal MTF variations at the Nyquist frequency were also checked, and the result is $0.32{\pm}0.04$ on average. From these results, we confirm that the GOCI on-orbit MTF performance satisfies the design requirements of 0.32 for 865 nm wavelength.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.4
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• pp.205-214
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• 2012

This study investigated whether there were statistical differences in the three categories of cosmetics brand preference- brand preference, gift brand preference, and preference for purchasing expensive cosmetics by the consumers' residence. For the data analysis, the types of cosmetics include basic and color, the cosmetics brands include domestic and imported cosmetics. The consumers' residence include metropolitan and non-metropolitan areas. The study collected the data from 477 surveys from adult women ranging from the age groups of 20s to 50s and above in 2011. Using SPSS Version 18.0 the data was analyzed by Frequency analysis, t-test. The study results were as follow: There were significant differences in the three patterns of cosmetics brand preference depending on the consumers' residence. The three patterns of preferences were in the similar trends. The results revealed while the non-metropolitan residents showed a higher level for the domestic brands, a lower level in the three categories of preferences for imported brands compared to their metropolitan counterparts in both types of basic and color. In contrast, compared to the non-metropolitan counterparts, the metropolitan residents showed a lower level of preferences in all of the three categories of cosmetics brand preference for domestic in both types of basic and color.

• Journal of IKEEE
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• v.24 no.1
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• pp.254-259
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• 2020

This paper is the implementation of the conversion system from image to music based on intentional synesthesia. The input image based on color, texture, and shape was converted into melodies, harmonies and rhythms of music, respectively. Depending on the histogram of colors, the melody can be selected and obtained probabilistically to form the melody. The texture in the image expressed harmony and minor key with 7 characteristics of GLCM, a statistical texture feature extraction method. Finally, the shape of the image was extracted from the edge image, and using Hough Transform, a frequency component analysis, the line components were detected to produce music by selecting the rhythm according to the distribution of angles.