• Journal of Digital Contents Society
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• v.17 no.4
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• pp.279-286
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• 2016

Recently, the cosmetics industry considers male customers as a consumptive, active customer base who also have purchasing power with their stronger desire for their personal image enhancement. Male-preferred image brands have entered the era of unlimited competition through social media, thus increasing the acquisition of male beauty. Therefore, the information for designing favorable image strategies should be examined. This paper examines male awareness, determined by the degree of appearance management based on four categories (i.e., hair and skin care, makeup, foot and hand care, and plastic surgery). Based on the research, the paper proposes a data service to address the spatial and temporal separation problem between TV CF (the major media for recognizing information) and online $caf{\acute{e}}$/blog the major media for obtaining detailed information.

• Journal of the Korean Home Economics Association
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• v.30 no.3
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• pp.33-43
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• 1992

The objective of this study were to (1) investigate the relationship between evaluations of apparel advertising, fashion involvement, and social attitudes, (2) examine how evaluation of apparel advertising, fashion involvement, and social attitudes vary according to gender, and (3) investigate the possible differences in purchase attitudes toward the advertised apparels according to gender and advertisement slogan. Questionnaire for evaluations of apparel advertising was comprised of four sections; apparel advertising acceptance, evaluation of advertisement slogan, purchase attitude toward the advertised apparels, and perception of effective media for apparel advertising. For evaluation of advertisement slogan, 5 sets of apparel advertisements were selected. Each set had two advertisements; one advertisement contained an image-oriented slogan, while the other had a quality-oriented slogan. "The Social Attitude Scale' by Kerlinger and 'Fashion Involvement Index' by Tigert, Ring & King were used. All the items were selected on the Cronbach's alpha reliability. The subjects were 217 college male and famale students in Seoul; 60 were asked about purchase attitude toward the image-oriented slogan, 60 purchase attitude toward the quality-oriented slogan, and 97 all the items included in evaluation of the two slogans. The data were analyzed using Pearson's correlation coefficient, X2-test, t-test, two-way ANOVA, and multiple regression analysis. The results of the study were the followings. 1. Fashion involvement had positive relationship with apparel advertising acceptance. The higher the level of conservative attitude males had, the more positive attitude they had in fashion involvement and apparel advertising acceptance. Subjects high in conservative attitude, fashion involvement, and apparel advertising acceptance. Subjects high in conservative attitude, fashion involvement, and apparel advertising acceptance had more positive in purchase of the advertised apparels. 2. Females high in apparel advertising acceptance were more favorable toward image-oriented advertisements. 3. Fashion involvement and apparel advertising acceptance were significantly higher in females than in males. Liberal attitude was significantly higher in males than in females. Evaluation of advertisement slogan did not differ according to gender. 4. Males perceived 'TV' was the most effective media for apparel advertising while females perceived 'display' was the most effective. 5. No significant interactions between advertisement slogan and gender were found in purchase attitude of the advertising apparels. 6. Apparel advertising acceptance was influenced by fashion involvement, social attitude, and sex. The explanatory power of the three variables was 17%.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.6
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• pp.70-81
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• 2001

This paper presents a 3D face modeling method using a CCD camera and a projector (LCD projector or Slide projector). The camera faces the human face and the projector casts white stripe patterns on the human face. The 3D shape of the face is extracted from spatial and temporal locations of the white stripe patterns on a series of image frames. The proposed method employs region segmentation and multi-beam techniques for efficient 3D modeling of hair region and faster 3D scanning respectively. In the proposed method, each image is segmented into face, hair, and shadow regions, which are independently processed to obtain the optimum results for each region. The multi-beam method， which uses a number of equally spaced stripe patterns, reduces the total number of image frames and consequently the overall data acquisition time. Light beam calibration is adopted for efficient light plane measurement, which is not influenced by the direction (vertical or horizontal) of the stripe patterns. Experimental results show that the proposed method provides a favorable 3D face modeling results, including the hair region.

• Journal of Digital Contents Society
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• v.15 no.1
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• pp.61-68
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• 2014

In the past, to stimulate customers' rationality were used as a marketing methods but the storytelling marketing is appealing to consumers by showing product or brand value. Storytelling marketing attracts clients favorable attitude. In this research, I tried to figure out how emotional storytelling and humor advertising affects to brand attitude a quality of products according to advertising types, brand image, trust, interest, message, advertising model, intension of purchase and recommendation requisite to impact on brand attitude. As a result emotional storytelling was more effective than the humor advertising method when forming the brand attitude and brand image. Also, among the types of advertisement, emotional storytelling tended to bring a significant difference between men and women. Emotional storytelling advertisement are increasing and being competitive. Therefore, we need notable advertisement. It is a significant research to understand how advertising type affects to consumers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.6
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• pp.1011-1018
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• 2006

Due to rapid development of mobile communication terminals and various requests of their users, multimedia information including image information has been the basis of mobile communication contents. In order to use vectored image information efficiently, which is more favorable than bit-mapped image information when transmission delay time and costs are considered, efficient vector graphics supporting systems are needed. Therefore, vector graphics kernel systems have been proposed and standardization attempts have been made in order to increase interoperability. In this paper, a vector graphics kernel based on OpenVG is designed and implemented. OpenVG was proposed as a standard vector graphics kernel by Khronos Group recently. The implemented vector graphics kernel, named by alexVG, is developed on a PC emulator as well as on a development board equipped with an ARM processor. In addition, performance tests are made in order to verify its functions.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.66-74
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• 2021

This study was conducted to identify the trends in newspaper articles related to nurses reported after the COVID-19 pandemic, and analyze the image of nurses in newspaper articles. The target of analysis is 199 articles related to nurses reported in four major domestic newspapers for 10 months from January 2020 to October 2020, when the domestic COVID-19 pandemic in full swing. As a result of the analysis, compared to the past, the volume of reports of articles related to nurses increased, and there were many articles on the topic of nurses being treated poorly compared to work, having a sense of vocation and caring for patients. There were many reports of articles that were favorable or neutral, and most of them were reporters, but few were written by professional reporters or medical personnel including nurses. Unlike previous studies, the proportion of nurses in nurse-related articles was often treated as the main character. Both the nursing and the media should make systematic and continuous efforts to ensure that accurate descriptions of the various roles and activities of nurses appear in the newspaper.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.4
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• pp.115-125
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• 2020

Rider jackets were once reserved for military uniforms but have become an important styling item in recent fashion trends. The design characteristics of the rider jacket are rooted in symbolism, and the image associated with a rider jacket is in line with the challenging of authority and being a member of the rebellious youth subculture. Usually, young people with anti-social tendencies wore jackets, and some styles were used as a medium to express their emotional homogeneity, and they received favorable responses as the items represented them. The design characteristics of a rider jacket can be largely divided into resistance against the older generation, violence, challenging cultural norms, sexuality, and resistance, as well as embodying violent characteristics, including strength, courage. and male chauvinism. The reason for the development of these challenging characteristics are disparagement and anger of the lower class, who were excluded from mainstream society. Rider jackets can be viewed negatively due to the kind of message it is conveying against mainstream society. Among the sexual features were leather pants, short-length leather rider jackets, glossy metal accessories, and belt buckles, which also highlighted gay and decadent images that came to be associated with the jackets. The drapery created various kinds of wrinkles according to the way of dressing, and it had beautiful expressiveness while serving to express the body more beautifully. Drapery can be classified according to the aesthetic characteristics or expression techniques, and if the type of drapery is classified according to the morphological characteristics, it can be classified into variable and fixed structures, depending on whether the part to which the drapery is applied is fluid or not. In other words, it depends on the dressing method or the intention, and if the drapery technique is directly applied to the garment or is attached to the form. This fashion design proposal may have the greatest significance in that it sought to propose a new style incorporating a drapery technique with a strong feminine image to a rider jacket, which traditionally was associated with a masculine image.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.487-497
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• 2022

The purpose of this study is to explore the impact of cultural capital on individuals and society, and to demonstrate the causal relationship between cultural capital and viewing loyalty. Existing studies conducted from a cultural sociological point of view have mainly linked cultural capital to social inequality issues, so the role of cultural capital in personal life and social life has not received attention. To fill this literary gap, this study explored the role of cultural capital centering on the art field. A structural equation model was used to test the research hypotheses, and data were collected for college (graduate) students from three universities in Seoul. As a result of the study, it was found that artistic cultural capital had a significant effect on self-image in the field of personal life. In addition, it was found that artistic cultural capital had a positive effect on tolerant attitudes in the field of social life. Finally, it was found that viewing loyalty, which refers to favorable attitudes and behaviors toward visiting art museums, was significantly affected by artistic cultural capital. The results of this study have academic and practical implications in terms of exploring the practical role of cultural capital.

• Journal of Biomedical Engineering Research
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• v.44 no.5
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• pp.303-314
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• 2023

This study aimed to assess the practical feasibility of advanced deformable image registration (DIR) algorithms in radiotherapy by employing two distinct datasets. The first dataset included 14 4D lung CT scans and 31 head and neck CT scans. In the 4D lung CT dataset, we employed the DIR algorithm to register organs at risk and tumors based on respiratory phases. The second dataset comprised pre-, mid-, and post-treatment CT images of the head and neck region, along with organ at risk and tumor delineations. These images underwent registration using the DIR algorithm, and Dice similarity coefficients (DSCs) were compared. In the 4D lung CT dataset, registration accuracy was evaluated for the spinal cord, lung, lung nodules, esophagus, and tumors. The average DSCs for the non-learning-based SyN and NiftyReg algorithms were 0.92±0.07 and 0.88±0.09, respectively. Deep learning methods, namely Voxelmorph, Cyclemorph, and Transmorph, achieved average DSCs of 0.90±0.07, 0.91±0.04, and 0.89±0.05, respectively. For the head and neck CT dataset, the average DSCs for SyN and NiftyReg were 0.82±0.04 and 0.79±0.05, respectively, while Voxelmorph, Cyclemorph, and Transmorph showed average DSCs of 0.80±0.08, 0.78±0.11, and 0.78±0.09, respectively. Additionally, the deep learning DIR algorithms demonstrated faster transformation times compared to other models, including commercial and conventional mathematical algorithms (Voxelmorph: 0.36 sec/images, Cyclemorph: 0.3 sec/images, Transmorph: 5.1 sec/images, SyN: 140 sec/images, NiftyReg: 40.2 sec/images). In conclusion, this study highlights the varying clinical applicability of deep learning-based DIR methods in different anatomical regions. While challenges were encountered in head and neck CT registrations, 4D lung CT registrations exhibited favorable results, indicating the potential for clinical implementation. Further research and development in DIR algorithms tailored to specific anatomical regions are warranted to improve the overall clinical utility of these methods.

• Journal of Advanced Navigation Technology
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• v.28 no.2
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• pp.238-245
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• 2024

In this paper, we propose a framework for improving the performance of semantic segmentation of agricultural multispectral image using feature fusion techniques. Most of the semantic segmentation models being studied in the field of smart farms are trained on RGB images and focus on increasing the depth and complexity of the model to improve performance. In this study, we go beyond the conventional approach and optimize and design a model with multispectral and attention mechanisms. The proposed method fuses features from multiple channels collected from a UAV along with a single RGB image to increase feature extraction performance and recognize complementary features to increase the learning effect. We study the model structure to focus on feature fusion and compare its performance with other models by experimenting with favorable channels and combinations for crop images. The experimental results show that the model combining RGB and NDVI performs better than combinations with other channels.