• 전기전자학회논문지
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• 제27권4호
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• pp.561-566
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• 2023

딥러닝의 발전으로 다양한 컴퓨터 비전 연구를 수행할 수 있게 됐다. 딥러닝은 컴퓨터 비전 연구 중 이미지 처리에서 높은 정확도와 성능을 보여줬다. 하지만 대부분의 이미지 처리 방식은 이미지의 시각 정보만을 이용해 이미지를 처리하는 경우가 대부분이다. 이미지-텍스트 쌍을 활용할 경우 이미지와 관련된 설명, 주석 등의 텍스트 데이터가 이미지 자체에서는 얻기 힘든 추가적인 맥락과 시각 정보를 제공할 수 있다. 본 논문에서는 이미지-텍스트 쌍을 활용하여 이미지와 텍스트를 분석하는 딥러닝 모델 제안한다. 제안 모델은 이미지 정보만을 사용한 딥러닝 모델보다 약 11% 향상된 분류 정확도 결과를 보였다.

• 한국실내디자인학회논문집
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• 제26권1호
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• pp.63-74
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• 2017

This study is for the characteristic of expression of exhibition presentation in 'The Korean peninsula' which is the Golden Lion Winner at the Venice Biennale in 2014. The Korean peninsula provides two opposite political and economic systems and adaptations of modernism through various multi media images. The curator, Minsuk Cho, presented cinema montage image of Collision for analyzing dynamic exhibition organization and provides the foundation of his theory from Bergson's image and duration to Deleuze's movement-image and time-image which is mentioned from Deleuze's book "cinema 1" and "cinema 2". Furthermore, the Korean peninsula has showed perception-image and affection-image from Eisenstein & Vertov's cinemathology and systemized exhibition presentation. The montage of Collision has maximized the movement from the variety and complexity in a collision and it made difference between information images which are space, time, emotion, intelligence, the tumult between subjectivity and objectivity, fragments from reorganizing itself, and distribution and art images. The limit of montage of Collision's dialectic is not only visual but also space from organic organization but the Korean peninsula overcomes its limit and shows leap of tactile perception and time-reflection from the montage of Collision's dialectic. Therefore, the exhibition of the Korean peninsula presents the conviction of adaptations of modernism.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제37권
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• pp.43.1-43.5
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• 2015

Image-guided surgery potentially enhances intraoperative safety and outcomes in a variety of craniomaxillofacial procedures. We explore the efficiency of one intraoperative navigation system in a single complex craniofacial case, review the initial and recurring costs, and estimate the added cost (e.g., additional setup time, registration). We discuss the potential challenges and benefits of utilizing image-guided surgery in our specific case and its benefits in terms of educational and teaching purposes and compare this with traditional osteotomies that rely on a surgeon's thorough understanding of anatomy coupled with tactile feedback to blindly guide the osteotome during surgery. A 13-year-old presented with untreated syndromic multi-suture synostosis, brachycephaly, severe exorbitism, and midface hypoplasia. For now, initial costs are high, recurring costs are relatively low, and there are perceived benefits of imaged-guided surgery as an excellent teaching tool for visualizing difficult and often unseen anatomy through computerized software and multi-planar real-time images.

• 대한가정학회지
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• 제49권1호
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• pp.121-133
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• 2011

This research was designed to compare the subjective evaluation of texture image and preference between offline and online by structural characteristics of women' jacket fabrics for spring and summer. 78 participants evaluated the sensibility image and preference of various fabrics. The data were analysed by factor analysis, t-test, Pearson's productive correlation, regression, and multi dimensional scale. The results were as follows: Sensibility image factors of women' jacket fabrics were 'classic' 'sophisticated' 'natural' 'characteristic' and 'practical'. Between offline and online, sensibility images showed no differences. In sensibility images, 'classic'-'sophisticated', 'natural'-'practical', and 'practical'-'characteristic' images showed significant correlation. By analyzing the contribution of fabric structure on sensibility images, density affected on the 'classic' image offline and online. By the results of regression analysis, thickness, density and weave affected on the tactile preference. In sensibility images, 'classic', 'sophisticated' 'characteristic' images were the influencing factor. 'Sophisticated', 'natural', 'characteristic' and 'practical' images affected on the purchase preference.

• 한국생활과학회지
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• 제20권2호
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• pp.413-426
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• 2011

This research was designed to compare the subjective evaluation of texture image and preference according to fiber blending ratio of men's suit fabrics. 110 subjects evaluated the texture image and preference of various fabrics. For statistical analysis, factor analysis, MDS, pearson correlation and ANOVA were used. The results were as follows: Sensory image factors of suit fabrics were 'smoothness', 'bulkiness', 'stiffness', 'elasticity', 'moistness' and 'weight sensation'. Sensibility image factors were 'classic', 'practical', 'characteristic' and 'sophisticated'. 'Bulkiness' and 'elasticity' sensory images showed high correlations with sensibility images. Fabrics with high wool blending ratio showed as 'classic' and 'sophisticated', 'bulkiness' and 'elasticity' texture images and fabrics with low wool blending ratio showed texture images of 'characteristic', 'surface character', 'stiffness', 'moistness' and 'weight sensation'. Wool fiber blending ratio affected on the purchase preference and tactile preference. Using regression analysis, it was shown that sensibility images had more of an effect on preference than sensory images. The thickness and pattern type showed positive effects and fiber blending ratio showed negative effects on the preference.

• 패션비즈니스
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• 제6권6호
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• pp.1-11
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• 2002

The attractiveness of the textile fabrics are generally judged by visual or tactile evaluation methods. Since the surface of the textile materials are so diverse that the visual factors such as optical properties or luster of the fabrics are not easily measurable. While most of the cotton fabrics are not so much lustrous, calendering process could impart the cotton fabric better luster. Also, the general grade silk-like polyester fabrics resemble silk fabric with some limit in terms of luster properties. One of the interesting fabrics showing subdued luster is the velvet fabrics with dark shade. In this study, the luster related properties are examined using some image analysis methods. Yarn models based on the fabric weave types were developed to further investigate the effect of fabric crimp shapes due to weave on the optical properties or luster of the fabrics.

• 한국산학기술학회논문지
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• 제19권6호
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• pp.715-721
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• 2018

청각 및 후각의 다감각 자극을 통하여 에너지를 절감하기 위하여 불쾌해진 촉각을 보상함으로써 에너지는 절감하면서 근무자의 뉴로에너지(쾌적성, 집중력, 신체적 및 심리적 안정 등)는 증강시키는 연구를 하였다. 온도 $25[^{\circ}C]$, 상대습도 50[RH%], 조도 1,000[lux] 및 기류 속도 0.02[m/sec]의 항온 항습실에서 1/f의 변동리듬으로 청각을 자극하고 아로마 향기로 후각을 자극하여 실험을 진행하였으며, 접촉식으로 인체의 심리상태를 측정하는 뇌파, 학습능력 및 심박동변이도와 비접촉식으로 심리상태를 측정하는 진동이미지 방법을 사용하였다. 피험자는 신체적으로 활동하는데 지장이 없고, 심신의 안정과 집중력의 최대 상태를 가져오는 상대 ${\alpha}$파(8~13[Hz])의 활성도가 후두엽에서 높은 유형인 20대 대학생 8명(남성 4명, 여성 4명)으로 선정하였다. 측정자세는 쾌적한 열적 환경에서 의자에 착석해 안정을 취하고 있을 때의 활동량으로써 1met로 하였으며, 착의량 상태는 약 0.7clo로 통일하였다. 측정결과 쟈스민 향기와 변동리듬 a=1.106 음원의 다감각자극에서 감성 및 심신안정과 집중력이 가장 높아졌으며, 상대$M{\alpha}$파와 상대$M{\beta}$파가 각각 70.49[%], 89.72[%] 증가하였고, HRT는 38.09[%] 감소하였으며, 피로도와 긴장 불안은 각각 36.85[%], 15.54[%] 감소하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2287-2312
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• 2018

Extracting key visual information from images containing natural scene is a challenging task and an important step for the visually impaired to recognize information based on tactile graphics. In this study, a novel method is proposed for extracting salient regions based on global contrast enhancement and saliency cuts in order to improve the process of recognizing images for the visually impaired. To accomplish this, an image enhancement technique is applied to natural scene images, and a saliency map is acquired to measure the color contrast of homogeneous regions against other areas of the image. The saliency maps also help automatic salient region extraction, referred to as saliency cuts, and assist in obtaining a binary mask of high quality. Finally, outer boundaries and inner edges are detected in images with natural scene to identify edges that are visually significant. Experimental results indicate that the method we propose in this paper extracts salient objects effectively and achieves remarkable performance compared to conventional methods. Our method offers benefits in extracting salient objects and generating simple but important edges from images containing natural scene and for providing information to the visually impaired.

• 한국생활과학회지
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• 제19권1호
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• pp.137-147
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• 2010

This research was designed to compare the subjective evaluation of texture image and preference by structure and sensible characteristics of women's suits fabrics between on- and off-line. 78 subjects who majored in fashion design evaluated the sensibility image and preference of 15 various kinds of specimens on- and off-line. Factor analysis, t-test, Pearson correlation and regression were used for a statistical analysis by SPSS WIN 13.0. The results of this study were as follows: 1. Women's suits fabrics were classified according to five sensibility image factors: 'classic', 'sophisticated', 'natural', 'characteristic', and 'practical'. 2. The results of the t-test showed that there were no differences between the on- and off-line evaluation of sensibility images. 3. The analysis of correlation indicated that the 'classic'-'sophisticated' and 'natural'- 'practical' sensibility images show a significant correlation between the two kinds of evaluation. 4. The results of regression revealed that 'sophisticated', 'characteristic' and 'practical' sensibility images had an effect on the purchase preference of women's suits fabrics. 5. 'Sophisticated', 'characteristic' and 'classic' sensibility images had an effect on the tactile preference of women's suits fabrics. 6. The structural characteristics of fabrics: thickness, weave and weight had an effect on the 'classic' sensibility image. Thickness had an effect on the 'sophisticated' sensibility image and fabric count had an effect on the 'characteristic' sensibility image.

• 한국의상디자인학회지
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• 제22권1호
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• pp.97-111
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• 2020

Classifying clothing fabrics into fashion images lacks research, but is necessary due to the short cycle of fashion and rapidly changing modern trends as consumers seek to satisfy various needs with an increase of online purchases. There is also a lack of research on fashion trend books which attach real fabrics. Therefore, this study aims to help the planning field by recognizing fabric sensibility related to the fabric image perceived by consumers. The data analysis results from descriptive statistics, t-test, and ANOVA using SPSS are as follows: Differences in the visual tactility evaluation related to the consumer recognized fabric images showed more significant differences in F/W seasons. The elegance image was shown as relatively thick, the avant-garde image was shown as relatively heavy, thick fabric. The feminine image was shown as relatively thin and smooth fabric, the sporty images were shown to be moist, flexible and elastic, and the mannish images were relatively rough. The romantic images were shown as relatively thin fabrics. The conclusions inferred from the visual tactile evaluation related to the fabric images recognized by consumers vary by major, so the prior information concerning fabrics and trends can affect the selection of images. The results of this study show that in order to produce clothes suitable for fashion product planning by learning about visual tactility that consumers recognize, fabrics component data displayed in fashion trend books from 2016 to 2018 are needed, so the planner can receive help when selecting the fabrics suitable for each trend.