• International Journal of Costume and Fashion
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• v.5 no.2
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• pp.1-10
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• 2005

In the 21th century, the age of image, people express and are evaluated with their images. Image making, as behavior of creating image, is rapidly spreading in the society. Thus, the purpose of this study is to investigate the precise concepts of image making, and the meaning of personal image and fashion styling in image making. Based on previous studies in clothing for a theoretical examination of the concepts of image making, and the meaning of personal image and fashion styling in image making, we have analyzed and studied the concepts of image making generally accepted in the society. The results of this study are as follows. First, personal image making aims at the establishment of one's own identity through the ideal image construction. Second, the establishment of one's own identity through building up his ideal image is completed through fashion styling. Third. image making increases one's personal values and competitive power to implement its ultimate goals. In this study, we have proved that image making makes people establish their own identity by building up their ideal images through fashion styling.

• International Journal of Aeronautical and Space Sciences
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• v.9 no.1
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• pp.59-65
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• 2008

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1309-1312
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• 1993

We present a flexible retrieval system of face photographs based on their linguistic descriptions in terms of fuzzy perdicates. While natural for describing a face, linguistic expressions are also subjective, which affects the retrieval result. Thus, the capability of a retrieval system to adjust to different users becomes very important. In this research we use fuzzy logic techniques, for describing image data, inference for retrieval and adjustment to a new user. Experimental results of the adjustment are also included.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1317-1320
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• 1993

We are concerned with developing a robust method for comprehensive scene analysis. In particular, we address the problem of representing spatial relations between regions in a segmented 2D image. Spatial relations are modeled as fuzzy sets. The method has two aspects, symbolic and quantitative, consisting of assigning labels for spatial relations and numeric degrees to which a relation holds respectively. The procedure of deriving a spatial relation is hierarchical taking into account geometric/physical characteristics of the regions in question.

• The Research Journal of the Costume Culture
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• v.16 no.5
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• pp.863-877
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• 2008

The purpose of this study is to investigate the effect of dot pattern size(0.8, 1.8, 2.5, 5, 8), color combination (BG/R, Y/B), value tone(lt/dk, p/g), area-ratio on image information. Sets of stimulus and response scales(7 point semantic) were used as experimental materials. The stimuli were 20 color pictures manipulated with the combination of dot pattern size, color combination, value tone and area-ratio using computer simulation. The subjects were 240 female undergraduates living in Gyeongsangnam-do. Image factor of the stimulus was composed of 4 different components, visibility, chastity.feminity, cuteness and attractiveness. In the visibility, color combination, value tone, area-ratio, dot pattern size showed independent effect. In the chastity feminity, color combination, value tone, showed independent effect. In the cuteness, value tone, area-ratio, dot pattern size showed independent effect. Significant interaction effects of color and area-ratio combination on visibility and cuteness were found. Interaction efforts of color and value tone combination, value tone and area-ratio was significant on cuteness. For visibility image, BG/R combination of color and yellow background/blue dots were effective. For cuteness image, pale/grayish tone and background/dots area-ratio were effective.

• International Journal of Costume and Fashion
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• v.3
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• pp.107-120
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• 2003

The purpose of this study was to examine the differences in the clothing image perception of elderly women according to the clothing types, the clothing colors, the perceiver's sex-role attitude, and gender. Result of factor analysis revealed that the dimensions of clothing image perception was classified into four categories: evaluation, youth, warmth, and activity. Perceiver's sex-role attitude and gender gave a significant influence on the perception of evaluation factor. Youth factor had an interaction effect on the clothing types, clothing colors, and sex-role attitudes. The persons with a conservative sex-role attitude perceived the clothing image of warm color suits as younger than the one of cold colors. The clothing image of a warm colored Hanbok (Korean traditional dress) was perceived milder than a cold one, but there were no difference in suits. Bright color suits make the wearer look younger, and cold color suits make the wearer look active. The clothing color had greater influences on the warmth and the evaluation factor than clothing types. Persons who have a conservative sex-role attitude perceived the differences according to clothing types and colors in a traditional way. It could be certified that perceiver's sex-role attitude was one of the variables influencing his/her perception in social interaction.

• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.3
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• pp.1-11
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• 2019

Purposes - This study discusses various aspects of familiarity with the sea and how familiarity with the sea is perceived. This study also summarizes the literature on the factors of previous researches that affect the formation or decision of national image. Research design and methodology - Sea familiarity index was derived from the results of recognition of free association with the sea, friendliness with the sea, association of the sea with life, interest to the sea, Korea's representative marine regions, and sea related emotionalism. The familiarity with the sea (ocean) perceived by foreign visitors or foreigners in the future will be helpful in deriving a comparative research. Results - This study has identified the marine tourism resources, marine ecology, and the cognitive and emotional situations consumers feel that should be developed practically. If a continuous time series research is conducted in the future through these, it will be a chance to provide a basis for consumers' dynamic awareness. Conclusions - Through this study, it is pointed out that the research utilizing the sea and ocean to form national image highly suggested an opportunity to add and utilize new variables academically. This study on the perspective of the formation of national image suggests a new approach to add and utilize new variables to future research using the sea and ocean.

• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.321-326
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• 2019

As AI technology is recently introduced into various fields, it is being applied to the fashion field. This paper proposes a system for recommending cody clothes suitable for a user's selected clothes. The proposed system consists of user app, cody recommendation module, and server interworking of each module and managing database data. Cody recommendation system classifies clothing images into 80 categories composed of feature combinations, selects multiple representative reference images for each category, and selects 3 full body cordy images for each representative reference image. Cody images of the representative reference image were determined by analyzing the user's preference using Google survey app. The proposed algorithm classifies categories the clothing image selected by the user into a category, recognizes the most similar image among the classification category reference images, and transmits the linked cody images to the user's app. The proposed system uses the ResNet-50 model to categorize the input image and measures similarity using ORB and HOG features to select a reference image in the category. We test the proposed algorithm in the Android app, and the result shows that the recommended system runs well.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.275-280
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• 2021

With the development of communication networks, the processes of exchanging and transmitting information rapidly developed. As millions of images are sent via social media every day, also wireless sensor networks are now used in all applications to capture images such as those used in traffic lights, roads and malls. Therefore, there is a need to reduce the size of these images while maintaining an acceptable degree of quality. In this paper, we use Python software to apply K-mean Clustering algorithm to compress RGB images. The PSNR, MSE, and SSIM are utilized to measure the image quality after image compression. The results of compression reduced the image size to nearly half the size of the original images using k = 64. In the SSIM measure, the higher the K, the greater the similarity between the two images which is a good indicator to a significant reduction in image size. Our proposed compression technique powered by the K-Mean clustering algorithm is useful for compressing images and reducing the size of images.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.303-316
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• 2021

Digital content protection has recently become an important requirement in biometrics-based authentication systems due to the challenges involved in designing a feasible and effective user authentication method. Biometric approaches are more effective than traditional methods, and simultaneously, they cannot be considered entirely reliable. This study develops a reliable and trustworthy method for verifying that the owner of the biometric traits is the actual user and not an impostor. Watermarking-based approaches are developed using a combination of a color face image of the user and a mobile equipment identifier (MEID). Employing watermark techniques that cannot be easily removed or destroyed, a blind image watermarking scheme based on fast discrete curvelet transform (FDCuT) and discrete cosine transform (DCT) is proposed. FDCuT is applied to the color face image to obtain various frequency coefficients of the image curvelet decomposition, and for high frequency curvelet coefficients DCT is applied to obtain various frequency coefficients. Furthermore, mid-band frequency coefficients are modified using two uncorrelated noise sequences with the MEID watermark bits to obtain a watermarked image. An analysis is carried out to verify the performance of the proposed schema using conventional performance metrics. Compared with an existing approach, the proposed approach is better able to protect multimedia data from unauthorized access and will effectively prevent anyone other than the actual user from using the identity or images.