• Title/Summary/Keyword: 백의고

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Discussion on the Background of the Baekeuihosang Phenomenon in Korea - Focusing on Baekeuigo written by Yoo, Changseon - (한국에서 백의호상(白衣好尙) 현상이 고착된 배경에 관한 논의 - 유창선(劉昌宣)의 백의고(白衣考)를 중심으로 -)

  • Seo, Bong-Ha
    • Journal of the Korean Society of Costume
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    • v.64 no.1
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    • pp.152-164
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    • 2014

  • Korean people have revered the white color and enjoyed wearing white clothes. Various kinds of white clothes have been worn by the Korean people, ranging from everyday wear(便服), and scholar's robe(深衣) for the upper class, to religious costumes like Buddhist monk's robe(僧服), shaman costumes(巫服) and costumes for ancestral rites(祭服), or mourning(喪服). There have been many differing opinions by historians regarding the background of this Baekeuihosang(白衣好尙, the preference for white clothing) tradition and even now, it is frequently being discussed. This study aims to consider and discuss the background of this Baekeuihosang tradition, focusing on Chang-seon Yoo's Baekeuigo(白衣考, the consideration of white clothing), which was published in Dong-A Ilbo in 1934. The purposes of studying literature such as the Baekeuigo is to analyze the arguments on the origin of Baekeuihosang, to analyze Chang-seon Yoo's claim of its origin, and to discuss the culture of Baekeuihosang. Chang-seon Yoo claimed that the existing discussions on the background of Baekeuihosang based on the lack of dyes, or undeveloped technique, economic privation and national control strayed from historical facts, according to literature review. It is not worth discussing the farfetched arguments such as the use of costumes for ancestral rites as everyday wears, or the nation of sorrow. Baekeuihosang tradition mostly originated from the effects of many religions and the taste for innocence, or naturalness. White clothes were infused with the sorrow and emotion of Korean people and were also worn to show resistance to foreign power as symbols of ethnicity. Therefore, there should be a new view of the discussion of white clothes and Korean aesthetic sense, away from the logic distorted by the Japanese colonial view of history.

  • https://doi.org/10.7233/jksc.2014.64.1.152 인용 PDF KSCI

Determination of Seed Protein and Oil Concentration in Kiddny Bean by Near Infrared Spectroscopic Analysis (근적외 분광분석법을 이용한 강낭콩 종실단백질 및 지방의 비파괴 분석)

  • 이한범;최병렬;강창성;김영호;최영진
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.46 no.3
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    • pp.248-252
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    • 2001

  • Near infrared spectroscopy (NIRS) is a rapid and accurate analytical method for determining the composition of agricultural products and feeds. An important merit of the NIRS analytical system is consistent predictions across instruments. However, proper calibration is the most important factor for a NIRS analytical system. Forty samples were obtained from Kyonggi-do Agricultural Research and Extension Services, and used to develop calibrations for crude protein content and crude oil content. Calibrations equations were developed using multiple linear regression (MLR). Accuracy and precision of NIRS predictions were adequate for quality measurement for the two constituents in kidney bean seed. In calibration sample sets (N=30), multiple correlation coefficient between NIR and lab measurements is 0.90 for seed, 0.97 for powder in seed protein concentration and 0.40 for seed and 0.92 for powder in seed oil concentration, respectively. It is concluded that NIRS method is suitable for the determination of seed composition in whole kidney bean.

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Development of Discrimination Algorithms for Appearance Properties of White Rice Using Computer Vision (컴퓨터 영상처리에 의한 쌀의 외관품위 판별 알고리즘 개발)

  • Yun, H. S.;Son, J. Y.;Lee, W. O.;Chung, H.;Lee, H. D.;Mun, J. H.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2002.02a
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    • pp.420-425
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    • 2002

  • 본 연구는 주로 사람의 육안에 의존하고 있는 쌀의 외관판별을 컴퓨터 영상처리를 이용하여 수행할 수 있는 장치의 개발을 최종목표로 하여, 우선적으로 컴퓨터 영상처리에 의한 쌀의 외관판별 알고리즘을 개발하기 위하여 수행하였다. 특히 본 연구에서는 쌀을 한 알씩 공급하면서 판별하는 것이 아니라 한꺼번에 수백 개의 쌀을 공급하여 낱알의 외관품위를 한번에 판별토록 하는 알고리즘을 개발코자 하였으며, 그 결과를 요약하면 다음과 같다. 가 육안으로는 구분되지 않으나 조명의 미세한 불균일이나 작은 이물질 등에 영향을 받지않고 완전한 2치화영상을 획득할 수 있는 영상처리 알고리즘을 개발하였다. 나. 서로 붙어있는 쌀의 경계를 정확히 분리하여 각각 낱알로 인식할 수 있는 영상처리 알고리즘을 개발하였다. 다. 쌀알의 노란색의 강도로서 쌀의 도정율을 예측하는 것이 가능하였으며, 이를 이용하여 쌀의 도정율을 판별할 수 있는 영상처리 알고리즘을 개발하였다. 라. 쌀알의 검은색의 강도로서 복백의 유무를 판별하고, 또 쌀알의 픽셀수에 대한 복백의 픽셀수의 비를 계산하여 복백의 면적비를 계산할 수 있는 영상처리 알고리즘을 개발하였다. 마. 개발된 알고리즘을 사용하여 임의로 조제된 쌀의 외관품위를 판별하였을 때 육안판별과 동일 정도로 판별이 가능하였으며, 한번에 최대 400개의 쌀알을 판별하는데 1초 정도의 시간이 소요되었다.

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