• Title/Summary/Keyword: $Sky-Green^R$

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Biodegradation Characteristics of Poly-3-hydroxybutyrate, $Sky-Green^R$ and $Mater-Bi^R$ by Soil Bacteria (토양세균의 Poly-3-hydroxybutyrate,$Sky-Green^R$$Mater-Bi^R$분해 특성)

  • 이애리;김말남
    • Korean Journal of Microbiology
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    • v.36 no.4
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    • pp.299-305
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    • 2000
  • Degradation behavior of the three commercial biodegradable polymers, namely poly(3-hydroxybutyrate) (PHB) Sky-Green/sup R/ (SG) and Mater-Bi/sup R/ (MB) was investigated using bacteria isolated from activated sludge and farm soil. Three PHB degrading bacteria, three SG degrading bacteria and one MB degrading bacteria were isolated. The PHB degrading bacteria were identified to be Flavimonas oryzihabitans, Corynebacterium pseudodiphtheriticum and Micrococcus diversus, while Pseudomonas vesicuraris, Pasteurlla multocida and Flavobacterium odoratum were identified as SG degrading bacteria. As for MB, Pseudomonas vesicuraris was isolated. The shake flask test for 28 days indicated that the rate of biodegradation of PHB, SG and MB in terms of weight loss were about 44∼69% 25∼32% and 29% respectively. The surface morphology of PHB, SG andMB films before and after degradation by microorganisms in an activated sludge soil was observed under SEM, demonstrating that the film surface had a very porous structure, and that microorganisms colonized heavily on the film surface. TOC and pH variation as a result of abiotic hydrolysis, or microbial growth in the absence of the polymers were compared to those due to degradation by F. oryzihabitans. Abiotic hydrolysis of PHB was three times as fast as that of SG and MB. Addition of yeast extract to the basal liquid medium accelerated the biodegradation of the polymers. Biodegradation of PHB was always faster than that of SG and MB irrespectively of the presence of yeast extract in the basal liquid medium.

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A New Rose Cultivar, 'Green Beauty' with High Yield (다수성 장미 신품종 '그린뷰티' 육성)

  • Lee, Young Soon;Kim, Soon Jae;Lim, Jae Wook
    • Korean Journal of Breeding Science
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    • v.40 no.1
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    • pp.72-75
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    • 2008
  • A new rose cultivar, 'Green Beauty' was selected from the progenies of a cross between 'Qvarna' and 'Sky Line' by rose breeding team of the Gyeonggi-Do Agricultural Research and Extension Services in 1999. It was finally selected in 2005 after evaluation trials for five years (2001-2005). 'Green Beauty' was developed for a standard-type cut flower. 'Green Beauty' has good qualified flower of which color is fair orange-yellow and green. 'Green Beauty' produces $178stems/m^2$ in a year, and has 62 petals per flower. Vase life of the cultivar could be as long as 12 days. 'Green Beauty' has some good agricultural and marketing traits. Futhermore marketing-quality was good in some aspects. The cultivar was applied for a variety protection in 2006, and was released to commercial growers in 2007.

Temperature and Wind Control of Virtual Warmth Image Using Fuzzy Reasoning Rule (퍼지 추론 규칙을 이용한 가상의 열 영상 온도와 풍향 제어)

  • Kang, Kyoung-Min;Kim, Kwang-Baek
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.10a
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    • pp.387-392
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    • 2008
  • 본 논문에서는 에너지 절약을 위한 방법으로 여름철 냉방의 적정 온도 및 풍향을 제어하기 위한 가상의 시뮬레이션을 목적으로 열 영상과 퍼지 추론 규칙을 적용한 온도 및 풍향 제어 기법을 제안한다. 온도 제어를 위한 가상 시뮬레이션에서 열 영상을 분석하기 위해서 영상을 $300{\times}400$의 크기를 가지는 색상 분포 영상으로 변환한다. 색상 분포 영상은 Red, Magenta, Yellow, Green, Sky, Blue의 온도 값을 가지는 R, G, B 값이며 각 색상은 $ 24.0^{\circ}C$에서 $27.0^{\circ}C$의 분포의 온도 값을 가진다. 색상 분포 영상은 아래 계층부터 레벨1에서 레벨10의 높이 계층으로 분류한다. 분류한 각 계층은 고유의 색상 분포도를 가지며 색상이 가지는 온도 수치에 따라서 계층별로 온도를 구성한다. 풍향 제어를 위한 각 계층의 높이는 레벨1에서 레벨3까지는 하위층이며, 레벨 4부터 레벨 7은 중간층, 레벨 8부터 레벨 10은 상위층으로 분류한다. 각 계층의 온도와 높이 레벨 값은 온도 조절과 풍향의 우선 순위, 강도 조절, 지속 시간을 구하기 위한 파라미터이다. 실내 공간의 전체적인 온도의 균형과 풍향을 제어하는 과정으로 풍향의 방향, 지속시간을 적용하고 풍향의 강도를 구하기 위해서 색상 분포영상의 각 구간의 온도 및 높이의 특징을 적용하여 퍼지 소속 함수를 설계한 후, 소속 함수의 소속도를 구하고 퍼지 추론 규칙을 적용하여 풍향의 강도를 구한다.

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A Study on the Color Sensation and Symbolism of Tibet Costume (티베트 복식의 색채 감성과 의미 탐색)

  • Wang, Cong;Kim, Jisu;Na, Youngjoo
    • Science of Emotion and Sensibility
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    • v.21 no.3
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    • pp.115-128
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    • 2018
  • Tibetans who live in the Tibetan highlands, the Roof of the World, have their own unique lifestyle wherein they conform to its long history, natural environment, and their own form of clothing culture. In their costumes, the use of colors, patterns and designs express religious meaning and represent the hopes and heart of life, which respects nature. This study aims to analyze the colors used in Tibetan costumes and examine the meaning of these colors. In addition, this study intends to understand the specificity of Tibetan culture through a consideration of the symbolism of the colors of ethnic costumes. By examining the literature and conducting case studies, colors of Tibetan costumes were analyzed through the I.R.I HUE-TONE system. We analyzed 96 photographs of the costumes photographed during the Tibet ceremony costume, photographs seen at the Qinghai Tibet Culture Museum and photographs from the Internet museum. The results revealed the following: First, the most important element of the costumes is connected to the five colors of JangOsaek, which gives meaning to each color. Red, navy blue, yellow, white and green symbolize fire, the sky, earth, clouds or snow, and grasslands, respectively. Second, Tibetan costumes are characterized by bold color contrasts such as red and green, black and white, red and yellow, and yellow and purple to achieve an intense harmony of colors. Third, these fancy costumes express the unique aesthetics of the Tibetan people. The primary colors follow general emotions, but they can also include their own emotion.

Retrieval of Atmospheric Optical Thickness from Digital Images of the Moon (월면 디지털 영상 분석을 이용한 대기 광학두께 산출)

  • Jeong, Myeong-Jae
    • Korean Journal of Remote Sensing
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    • v.29 no.5
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    • pp.555-568
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    • 2013
  • Atmospheric optical thickness during nighttime was estimated in this study using analysis on the images of the moon taken from commercial digital camera. Basically the Langely Regression method was applied to the observations of the moon for the cloudless and optically stable sky conditions. The spectral response functions for the red(R), green(G), and blue(B) channels were employed to derive effective wavelength centers of each channel for the observations of the moon, and the correspondent Rayleigh optical thickness were also calculated. Aerosol optical thickness (AOT) was calculated by subtracting Rayleigh optical thickness from the atmospheric optical thickness derived from the Langley regression method. As there are only handful of nighttime AOT observations, the AOT from the moon observations was compared with the AOT from sun-photometers and the MODIS satellite sensor, which was taken several hours before the moon observations of this study. As a result, the values of AOT from moon observations agree with those from sun-photometers and MODIS within 0.1 for the R, G, B channels of the digital camera. On the other hand, ${\AA}$ngstr$\ddot{o}$m Exponent seems to be subject to larger errors due to its sensitiveness to the spectral errors of AOT. Nevertheless, the results of this study indicate that the method reported in this study is promising as it can provide nighttime AOT relatively easily with a low cost instrument like digital camera. More observations and analyses are warranted to attain improved nighttime AOT observations in the future.