• Journal of Biomedical Engineering Research
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• v.17 no.1
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• pp.33-42
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• 1996

A multimedia remote ultrasound image transfer system for tole-medical services was implemented. The image data of the ultrasound scanner system of the slave is compressed using image compression system. It is transferred to the master PC via ISDN UNI(User-Network Interface) and decompressd by image decompression system. The total system is composed of three parts; first, the image capture card which transfers bidirection- al data between ultrasound scanner system and PC, second, image compression and decompression card, finally, ISDN TA(Terminal Adaptor) card for transferring the image. This system has a easy user interface because it is executed on the basis of MS-WINDOWS. So it is capable of serving medical services at a remote place.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.376-382
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• 2022

The purpose of this study is to investigate the effect of the national image on the intention to repurchase Korean cosmetics products from the perspective of consumers. This study investigated the effect of the Korean national image on the repurchase intention through the perceived quality and eco-friendly product image for Mongolian consumers. This study conducted a survey of Mongolian consumers, and the survey was conducted online with a total of 110 people. The analysis method was verified using the SPSS 18 program. As a result of the analysis, it was confirmed that the national image had a positive and significant effect on Mongolian consumers' intention to repurchase Korean cosmetics. In addition, it was found that perceived quality or ecofriendly product images play a mediating role in the relationship between the national image and the intention to repurchase cosmetics.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.856-859
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• 2021

Image transmission by means of telecommunications is an essential task for information sharing. For considerable distances, wireless channels can be utilized and tuned for proper uses of image data exchange. However, the disturbances that a radio wave encounter during transmission causes partial or total loss of information. Result of such communications is a distorted image at the receiver's end. This paper proposes an auto-encoder architecture as an image enhancement method for narrow-bandwidth radio images. With this method, a distorted image can be improved for better receiver satisfaction. The proposed auto-encoder is trained with many narrow-bandwidth radio image data; hence it enhances a given distorted image. Also, the results were verified with the original image data being the reference images.

• Proceedings of the IEEK Conference
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• 2002.06b
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• pp.137-140
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• 2002

This paper is proposed a 8-bit anolog to digital converter for CMOS image sensor. A anolog to digital converter for CMOS image sensor is required function to control gain. Proposed anolog to digital converter is used frequency divider to control gain. At 3.3 Volt power supply, total static power dissipation is 8mW and programmable gain control range is 30dB. The gain control range can be easily increased with insertion of additional flip-flop at divided-by-N frequency divider circuit.

• Journal of Broadcast Engineering
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• v.20 no.4
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• pp.521-532
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• 2015

This paper presents a piecewise image denoising with multi-scale block region detector based on quadtree structure for effective image restoration. Proposed piecewise image denoising method suggests multi-scale block region detector (MBRD) by dividing whole pixels of a noisy image into three parts, with regional characteristics: strong variation region, weak variation region, and flat region. These regions are classified according to total pixels variation between multi-scale blocks and are applied principal component analysis with local pixel grouping, bilateral filtering, and structure-preserving image decomposition operator called relative total variation. The performance of proposed method is evaluated by Experimental results. we can observe that region detection results generated by the detector seems to be well classified along the characteristics of regions. In addition, the piecewise image denoising provides the positive gain with regard to PSNR performance. In the visual evaluation, details and edges are preserved efficiently over the each region; therefore, the proposed method effectively reduces the noise and it proves that it improves the performance of denoising by the restoration process according to the region characteristics.

• Journal of the Korean Society of Costume
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• v.51 no.3
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• pp.111-127
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• 2001

This study aims to apply the formative aesthetic of human body to the form of clothing. For this purpose I try to find the various methods of analysis used in the work of sculpture. The method of inference and the checklists of design are used to relate the sculpture with the clothing design specifically. This methodology intends to regard human body as an artistic form and use the image of sculpture to the maximum. Especially I try to derive the motives of design and recreate them in clothing design emphasizing silhouette. On this methodology, following results were developed. First, the observations on the formative characteristic of human body show that the transformed form of human body expresses more perfect image of human body than the original form. The power of simplicity heightens the total beauty of the work. Second, the image of human body expressed in simplicity heightens the total beauty of the work. Second, the image of human body expressed in simplicity and exaggeration can be variously recreated in a silhouette with the formative and cubic effect, simplicity, and activity. Third, the elegant and static image found in the analysis and synthesis of human body can be used as a motive of clothing design and the changed details lead to the transformation of silhouette. Fourth, in developing designs by the item of checklists, one motive can be variously recreated according to the methods of designs.

• Journal of the Korean Society of Costume
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• v.66 no.1
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• pp.90-107
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• 2016

The purpose of this study was to examine the fashion brand attitude of tweenagers, with a focus on brand awareness, image, identification and loyalty. The study analysed 541 fifth and sixth-grade students in Seoul elementary schools. Major statistical methods used for this study were Cronbach's alpha analysis, confirmatory factor analysis, and path analysis with SPSS 19.0 and AMOS 19.0. Brands selected for this study were "NIKE" and "BEANPOLE KIDS". The result of this study was as follows: First, the study showed that both "NIKE" and "BEANPOLE KIDS" had 4 significant routes from the research model. Brand awareness had influence on brand image; brand image had influence on brand identification and brand loyalty; and brand identification had influence on brand loyalty. Second, using the bootstrapping to verify the significance of the total effect and indirect effect, brand awareness had a significant indirect effect on brand identification and brand loyalty; brand awareness did not have any direct effect on brand identification and brand loyalty for both "NIKE" and "BEANPOLE KIDS". Also, the total effect of brand awareness on brand identification and brand loyalty was significant. The result of this study showed the development potential to the fashion companies targeting tweenagers.

• Journal of the Korean Home Economics Association
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• v.43 no.5 s.207
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• pp.93-105
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• 2005

This study focused on the development of scales measuring the characteristics related to appearance management behaviors of businessmen for on-line image consulting. The purposes of this study were, 1) to develop a tool which can measure the ideal image, 2) to develop a tool which can measure personality, and 3) to develop a scale measuring the physical characteristics and body cathexis. The data were collected from 380 businessmen in Seoul, Korea and were analyzed by frequency, factor analysis, reliability test, cluster analysis, correlation analysis, one-wav ANOVA and Duncan test. The results from this study were as follows .1)Five factors of the ideal image were identified: stylish, able, active, neat/confident and easy. The total variance was 74.29$\%$ and Cronbach's alpha of the 5 factors ranged from .74-.90. One item was selected to represent each factor. 2) Five factors of personality were identified: preference of social function, sociable, dynamic, achievement-motivated, and success-oriented. The totai variance was 60.63$\%$ and Cronbach's alpha ranged from .56-.83. One item was selected to represent each factor. 3) Five factors of body cathexis were identified: satisfaction with girth, length, physique, nose and eyes. The total variance was 73_46$\%$ and Cronbach's alpha ranged from .68-.85.

• Culinary science and hospitality research
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• v.14 no.2
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• pp.138-152
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• 2008

This study suggested a theoretical research system on the effects of the corporate social responsibility in family restaurants upon corporate image, corporate preference and revisit intention. Based on total 342 university students from the empirical research, this study confirmed the reliability and fitness of research model and verified total 4 hypotheses with structural equation modeling(SEM) by Amos program. SEM results showed that the corporate social responsibility of family restaurants had positively significant influence on corporate image(legal and economic aspect 0.203-p<0.05; philanthropy aspect 0.318-p<0.001; ethical aspect 0.203-p<0.05), and corporate image had positively significant influence on corporate preference(0.979-p<0.001) and revisit intention(0.258-p<0.05) as well. Also, corporate preference had positively significant influence on revisit intention(0.844-p<0.001). The findings of this study verified a hypothetical ground that the corporate social responsibility of family restaurants has positive effects upon revisit intention. Additionally, regarding the activity of social responsibility in the foodservice industry, it is proved that the practices in the activities of philanthropy and contribution to society rather than the practices in the legal and economic aspect had significant relations with the customer's favorable behaviors.

• ETRI Journal
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• v.42 no.2
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• pp.258-271
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• 2020

A correlation exists between luminance samples and chrominance samples of a color image. It is beneficial to exploit such interchannel redundancy for color image compression. We propose an algorithm that predicts chrominance components Cb and Cr from the luminance component Y. The prediction model is trained by supervised learning with Laplacian-regularized least squares to minimize the total prediction error. Kernel principal component analysis mapping, which reduces computational complexity, is implemented on the same point set at both the encoder and decoder to ensure that predictions are identical at both the ends without signaling extra location information. In addition, chrominance subsampling and entropy coding for model parameters are adopted to further reduce the bit rate. Finally, luminance information and model parameters are stored for image reconstruction. Experimental results show the performance superiority of the proposed algorithm over its predecessor and JPEG, and even over JPEG-XR. The compensation version with the chrominance difference of the proposed algorithm performs close to and even better than JPEG2000 in some cases.