• The Research Journal of the Costume Culture
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• v.8 no.5
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• pp.726-740
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• 2000

The purpose of this study is to evaluate the combination of suit details through visual evaluation which helps compensating the classic style suits-middle aged women's body construct for their more attractive fashion styles. The styles of the evaluated suits are formal and classical. The designs of evaluated suits are manipulated in 40 different kinds by the essential elements such as collars, necklines(tailored collars, soutien collars, stand collars, round necklines, V-necklines, etc.), bottoms(slacks, skirts), pocket (flap pocket, none) and opening(opened, closed). The data evaluated by a multiple ranking test were analyzed by paired t-test, ANOVA and Duncan's multiple raged test. The results are summarized as follows : 1. A middle aged woman on skirts suits look more graceful, more elegant, and a bit more refined than that on slacks suits. 2. A middle aged woman wearing a jacket with flap pockets on looks more balanced, and graceful than when wearing with no pockets. 3. Wearing closed jackets looks more balanced and graceful than on opened jackets. 4. The types of collar·necklines can be called the details which put much influence on Image effects. Putting on tailored collar suits is the most graceful, refined, balanced and harmonious case than any others.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.180-194
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• 2021

For small image registration, feature-based approaches are likely to fail as feature detectors cannot detect enough feature points from low-resolution images. The classic FFT approach's prediction accuracy is high, but the registration time can be relatively long, about several seconds to register one image pair. To achieve real-time and high-precision rigid registration for small images, we apply deep neural networks for supervised rigid transformation prediction, which directly predicts the transformation parameters. We train deep registration models with rigidly transformed CIFAR-10 images and STL-10 images, and evaluate the generalization ability of deep registration models with transformed CIFAR-10 images, STL-10 images, and randomly generated images. Experimental results show that the deep registration models we propose can achieve comparable accuracy to the classic FFT approach for small CIFAR-10 images (32×32) and our LSTM registration model takes less than 1ms to register one pair of images. For moderate size STL-10 images (96×96), FFT significantly outperforms deep registration models in terms of accuracy but is also considerably slower. Our results suggest that deep registration models have competitive advantages over conventional approaches, at least for small images.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.11
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• pp.1782-1791
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• 2008

The purpose of this study was to find out the hair style image about variations of hair design elements. The method of this study was quasi-experimentation. The twelve color photographs of manikins with various hair style were used as the stimulus. As measuring instrument, a likert scale composed of 35 items of five point adjectives was used. The sample consisted of 157 males and 140 females residing in the Busan area. The range of the age is from 20 to 55. The survey was conducted from August to September in 2007. The data were analyzed by factor analysis, frequency, crosstabs one-way analysis of variance, Duncan's test and t-test used SPSS Packages. The results of this study were as follows: 1. As a result of factor analysis, 8 factors - romantic, natural, elegant, simple, classic, casual, modem and mannish were found out as constructing factors of hairstyle image. 2. As a result of hair style image analysis about variations of hair-length, The short hair style was perceived in modern, mannish, casual, sophisticate, medurm-length style in classic and elegant, long hair style was perceived to be high in romantic and natural. 3. As a result of hair style image analysis about variations of hair design elements, The length of hair style was the most influential element in hair design and secondly important one was the wave of hair style. The color of hair style didn't critical effect on image of hair style.

• Korean Institute of Interior Design Journal
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• v.21 no.3
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• pp.111-118
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• 2012

The purpose of this study is to focus on living rooms that are preferred as a place for changing space image to the maximum and to find a method how finishing materials are expressed by selecting space with mix & match of many images. The study methods are as follows. First, understand the expressive trend of space images through the precedent studies and magazines, and examine its relationship with finishing materials. Second, select space images based on the contents understood earlier and extract adjective words that represent each space image through an expert survey. Third, find the cases where space images are expressed based on the extracted words and analyze expression methods of finishing materials. The results of the study are as follows. First, it was confirmed that recent space images are actively expressed through finishing materials. Second, space images selected through data related to the trend were classified as modern+natural, modern+traditional, modern+retro, classic+natural, classic+humor, and futurism+natural and 4 adjective words for each space image were extracted. Third, expressive elements of finishing materials were extracted as 'material'. 'texture', 'color', and 'pattern' through the precedent studies. Fourth, expressive methods of finishing materials for each space image could be suggested by analyzing the examples that show mix & match based on the contents extracted earlier. Lastly, it is expected to find various methods that lead space image into finishing materials by evaluating responses and changes in visual perception of residents according to expression of finishing materials based on this study.

• Fashion & Textile Research Journal
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• v.14 no.2
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• pp.251-260
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• 2012

Nowadays, global wedding dress companies are interested in the Chinese wedding market because of expectations in consumption patterns of the post 80's generation. Therefore, wedding behavior, selection criteria for wedding dresses, and favored image by segmented groups targeting 20's to 30's Chinese women were studied to help the Korean wedding dress industry to establish their business in China. The survey was conducted in Shanghai city and three neighboring cities-Wuxi, Zhengziang, and Hangzhou-, and the primary data were analyzed using the SPSS program. As results, Chinese women thought that the wedding ceremony should be elegant and dignified, and they wanted to choose their favorite style rather than a recommended style. The criteria of selection were classified into four factors. Overall image and well fitting with their face and body were the most important factors in the selection of wedding dress. The most favored image was unique/novel image. Several favored images for their wedding dress were significantly different by occasion (ceremony day and photo shoot day) and education level. People of higher education level preferred more luxurious and classic image during the ceremony, and a classic and gorgeous image on the photo shoot day. A white dress and a colored dress for weddings were favored more than the Chinese traditional dress on both occasions. There was also a significant difference between general consumers and the wedding business employees in the quantity of wanted wedding dress.

• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.58-69
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• 2014

The purpose of this study was to examine stereotype of gender role in music video, comparing of gender image, sexuality(body exposure & sexual expression) by genre and gender difference. A content analysis of 300 songs and 517 characters was conducted between 2004 and 2013. Results were including followings. While women engaged in classic image, man engaged in naive image. R&B and Ballad demonstrated more classic image of women. Ballad, R&B, and Rock demonstrated more naive image of men than other genre. Sexuality was more prominent in dance and hip-hop genre. Compared to male character, female character was more sexually objectified, held to exposer herself and more likely to demonstrated sexually alluring behavior.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.1
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• pp.145-159
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• 2008

This study has examined the shift in fashion styles in Korea by analyzing trends in fashion environment and fashion image by seasons in Korea to understand the domestic fashion flow from 2000 to 2006. Since 2000, with the well-being trend, polarization of consumption, preference in luxury orientation, and digital revolution, consumers became individualized and detail oriented. They also became smart consumers equipped with information and knowledge in making choice and purchasing products suiting their taste. To satisfy the consumer trend, fashion market also saw changes such as expansion of advanced distribution, totalization of brands, growing of on-line shopping mall, expansion of outdoor-wear market, and formation of masstage(mass+prestage) market. Fashion images in domestic women's wear since 2000 are analyzed as classic, elegant, minimalism, romantic, bohemian & vintage, ethnic, glam, girlish, kidult, sportive, femiculine, military, and lingerie image. Classic, romantic, and bohemian & vintage are the images that were popular throughout 2000 to 2006. Fashion images of domestic women's wear showed changes in three periods: Sportive image was popular in FW 2002; military image in SS 2003 to SS 2005; and femiculine, glam, and minimalism images in FW 2005 to FW 2006. Through information and detail-oriented emotion, the wide-ranging acceptance of global trends, the consumer tendency towards purchasing products quickly and conveniently, the speedy supply of trendy products both on-line and in-store, and the evolution of the fashion market towards providing one-stop shopping and a cultural space, different fashion images have all emerged at the same time in Korea. It looks like this phenomenon is set to continue for a while.

• Korean Institute of Interior Design Journal
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• v.20 no.5
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• pp.143-151
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• 2011

Since it is important to understand data acquiring characteristics through relationship between spatial types and spatial elements and apply it to spatial plans for smooth communication between designer and user of space, the conclusions gained from analysis of data acquiring characteristics of spatial elements through image evaluation by types of interior space can be summarized as in the followings: First, for the amount of acquired data by types of interior space, it shows that the acquired amount of data is to change by types and data acquiring method (phrase and image) even though the spatial elements are same. Second, for the data acquiring process of spatial types by gender, it shows that there is a big difference in acquiring of data according to the evaluation method by phrase and image. Third, for the amount of acquired data of spatial types by gender, it shows that there is a difference between male and female, which is by "classic ${\rightarrow}$ modern ${\rightarrow}$ natural" in case of male and "classic ${\rightarrow}$ natural ${\rightarrow}$ modern" in case of female. regarding both of phrase and image. Fourth, for the evaluation by gender, it shows that there is a deviation in the value of difference according to the elements by which data acquiring characteristics evaluate space. It is considered that this deviation characteristic is in need of reflection in the process of spatial evaluation. This study analyzed data acquiring characteristics of space user's spatial elements through image evaluation by types of space to understand how data acquiring would be changed of spatial elements according to type and gender. Through this study, it expects to make clear that, when a designer is planning a certain space, if the space can be a space for the user by understanding of which elements should be exposed to users by types to acquire more data.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.11-19
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• 2019

In this paper, a new Scene-based Nonuniformity Correction (SBNUC) method is proposed by applying Image Roughness-like and Spatial Noise cost functions on deep neural network structure. The classic approaches for nonuniformity correction require generally plenty of sequential image data sets to acquire accurate image correction offset coefficients. The proposed method, however, is able to estimate offset from only a couple of images powered by the characteristic of deep neural network scheme. The real world SWIR image set is applied to verify the performance of proposed method and the result shows that image quality improvement of PSNR 70.3dB (maximum) is achieved. This is about 8.0dB more than the improved IRLMS algorithm which preliminarily requires precise image registration process on consecutive image frames.

• Journal of the Korean Home Economics Association
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• v.49 no.7
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• pp.111-122
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• 2011

This qualitative case study examined what type of clothing image middle aged housewives strive for, and how to classify the preferred clothing style. Secondly, we examined how their clothing image corresponded to age and observed the meaning of such changes over time. The participants of this study were eight middle aged housewives. This study was conducted through in-depth interviews that were based on an unstructured questionnaire, and the data were collected from January to October 2010. The results were as follows: First, result related to preferred clothing image implicated fashion, esthetic sense, and clothing concerns. Preferred clothing image fell into 'intelligent-colorful' and 'urban-neat' categories. The preferred clothing style types of the participants were labeled as 'trendy', 'classic', 'conservative', and 'unique'. Second, the clothing image that participants thought to be of greater value in middle age included 'graceful' and 'elegant' allowing for the expression of age-appropriate style, high quality, and mind of plenty.