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        검색결과 8

        1.
        2010.10 KCI 등재 구독 인증기관 무료, 개인회원 유료
        The orientalism in fashion is believed to develop from the eclectic notion of oriental and occidental fashion. By studying on Gabrielle Chanel’s clothing that is usually used by neutral colors and on Yohji Yamamoto’s clothing that characterizes clothes in neutral colors, the purpose of this study is to seek ways for remaking Korean traditional clothing into a new modern one to gain a world reputation in terms of clothes. Therefore the study is for exploring the characteristics on the factors of fashion design such as color, line and textile materials with works of Gabrielle Chanel, a famous designer in Western world who has made a black color a popular one for people and works of Yohji Yamamoto, an well-known fashion designer of the East using neutral colors. This study analyzed, from the 2004 S/S to the 2006 F/W, the collection of works published in style.com through the works of Gabrielle Chanel, Yohji Yamamoto, and through the analysis of the visual target. A total of 527 images are used in this paper. Elements of fashion design analysis are lines, colors, and materials. The study reached the conclusion as follows after analyzing the characteristics on clothing with neutral colors of Gabrielle Chanel and Yohji Yamamoto. In case of aesthetic characteristics on the design of Gabrielle Channel, it has expression of feminist, sensual, modern and luxury. It is considered that Gabrielle Channel has a luxury image using a neutral color. Also using simple sleeveless in black and tweed structure, the garments have mixed with neutral colors. Fashion design characteristics on the design of Yohji Yamamoto classified into sensual, modern, ascetic expression. Therefore the design has a simple expression of using a black color. Yohji Yamamoto is a designer who pursues unstructured design by using various neutral colors such as black, gray and white based on the oriental sentiment.
        5,500원
        6.
        2004.03 KCI 등재 구독 인증기관 무료, 개인회원 유료
        본 연구에서는 사진 이미지에 대해 어떠한 감성들이 나타날 수 있는지를 확인하여 이를 구조화할 수 있는 기본 감성 모형을 개발하였다. 그런 다음, 이 모형을 바탕으로 주요한 시각 속성 중 하나인 색의 유무가 감성에 어떠한 영향을 줄 수 있는지에 대해 알아보았다. 연구 1에서는 다양한 기법과 소재가 반영된 사진가들의 사진을 제시하고 각 사진에 대해 감성 반응을 받은 다음 이를 분석하였다. 얻어진 자료를 주축 기법을 이용하여 요인분석한 결과 감성 어휘 변량 중 약 42%를 세 요인만으로 설명할 수 있었다. 세 요인은 각각 긍정적-부정적 인상, 동적-정적 인상, 가벼운-무거운 인상으로 명명되었다. 연구 2에서는 세 요인을 감성 공간의 기본 차원 축으로 삼아 색의 유무가 사진 감성에 미치는 영향을 살펴보았다. 대표적인 컬러 사진 90장을 흑백으로 전환하여 컬러와 흑백 각각 90장의 사진 이미지를 자극으로 사용하였으며, 각각의 사진 이미지들이 세 감성 차원들에 대해 평정되었다. 감성 차원별로 색의 유무에 대해 t검증을 실시한 결과, 모든 감성 차원에서 색의 유무에 따라 통계적으로 유의한 차이가 나타났다. 흑백으로 전환된 이미지가 더 부정적이고 정적이며 무거운 이미지로 느껴지는 것으로 나타났다. 이러한 결과는 사진 이미지에서 동일한 소재와 동일한 구도라 할지라도 기본적인 시지각 속성의 변화만으로 감성반응에 중요한 차이를 유발할 수 있음을 시사한다.
        4,000원
        8.
        2019.05 KCI 등재 서비스 종료(열람 제한)
        The purpose of this study is to assess a fire-damaged concrete structure using a digital camera and image processing software. To simulate it, mortar and paste samples of W/C=0.5(general strength) and 0.3(high strength) were put into an electric furnace and simulated from 100 ℃ to 1000 ℃. Here, the paste was processed into a powder to measure CIELAB chromaticity, and the samples were taken with a digital camera. The RGB chromaticity was measured by color intensity analyzer software. As a result, the residual compressive strength of W/C=0.5 and 0.3 was 87.2 % and 86.7 % at the heating temperature of 400 ℃. However there was a sudden decrease in strength at the temperature above 500 °C, while the residual compressive strength of W/C=0.5 and 0.3 was 55.2 % and 51.9 % of residual strength. At the temperature 700 ℃ or higher, W/C=0.5 and W/C=0.3 show 26.3% and 27.8% of residual strength, so that the durability of the structure could not be secured. The results of L*a*b color analysis show that b* increases rapidly after 700 ℃. It is analyzed that the intensity of yellow becomes strong after 700 ℃. Further, the RGB analysis found that the histogram kurtosis and frequency of Red and Green increases after 700 ℃. It is analyzed that number of Red and Green pixels are increased. Therefore, it is deemed possible to estimate the degree of damage by checking the change in yellow(b* or R+G) when analyzing the chromaticity of the fire-damaged concrete structures.