• 제목/요약/키워드: Tank color

검색결과 58건 처리시간 0.028초

염색공단폐수의 색도처리를 위한 염료분해 균주의 분리와 특성 (Isolation and Charaterization of Dye-Degrading Microorganisms for Treatment of Chromaticity Contained in Industrial Dyeing Wastewater)

  • 김정태;박근태;이건;강경환;김중균;이상준
    • 한국환경과학회지
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    • 제23권1호
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    • pp.129-142
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    • 2014
  • To treat chromaticity contained in effluents of dyeing wastewater efficiently, potent dye-degrading microorganisms were isolated from influent water, aeration- tank sludge, recycle water and settling-tank sludge located in leather and dyeing treatment plant. Six potent strains were finally isolated and identified as Comamonas testosteroni, Methylobacteriaceae bacterium, Stenotrophomonas sp., Kluyveromyces fragilis, Ascomycetes sp. and Basidiomycetes sp. When Basidiomycetes sp. was inoculated into ME medium containing basal mixed-dyes, 93% of color was removed after 8 days incubation. In the same experiment, the 1:1 mixed culture of Basidiomycetes sp. and photosynthetic bacterium exhibited 88% of color removal; however, it showed better color removal for single-color dyes. The aeration-tank and settling-tank samples revealed higher color removal (95-96%) for black dyes. The settling-tank sample also revealed higher color removal on basal mixed-dyes, which resulted in 90% color removal after 6-h incubation. From the above results, it is expected to achieve a higher color removal using the mixed microorganisms that were isolated from aeration-tank and settling-tank samples.

색광에 대한 쥐치의 반응 (Response of Filefish to the Colored Lights)

  • 양용림
    • 수산해양기술연구
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    • 제17권1호
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    • pp.7-11
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    • 1981
  • The author carried out an experiment to find out the responsing patterns of filefish, Stepha nolepis cirrhifer (Temminck et Schlegel) to the color lights. The experimental tank (360LX50WX55H cm) was set up in a dark room. Six Longitudinal sections each being 60 em intervals are marked in the tank to observe the location of the fish. Water depth in the tank was kept 50 em level. Light bulbs of 20W were placed at the both ends of the tank to be projected the light horizontally into the tank. Two different colored filters were selected in combination from four' colors-red, blue, yellow, and white, and were placed in front of the light bulbs to make\ulcorner different light of color. Light intensity were controlled by use of auxiliary filters intercepted between the bulb and the filter. The fish were acclimatized in the dark for 40 minutes prior to employ in the experiment. Upon turning on the light, the number of fish in each section was counted 40 times in every 30 seconds, and the mean of the number of fish in each section was given as the gathering rate of the fish. The results obtained are as follows: 1. Color of light, to which the fish gathered abundantly was found in the named order of blue, white, green, and red. 2. The differences of gathering rate upon arbitary combined two color lights were shown significant, and the differences increased remarkably in accordance with the lapse of illuminating period.

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색강지에 대한 돌돔과 능성어의 선택반응 (Selective Response of Rock bream and Sea bass to the Color Nettings)

  • 안희춘;양용림
    • 수산해양기술연구
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    • 제21권1호
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    • pp.35-40
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    • 1985
  • 색망지에 대한 돌돔과 능성어의 선택반응을 조사하기 위하여 적색, 황색, 녹색, 청색 및 흑색의 다섯가지 색망지를 사용하여 시어의 반응을 조사한 결과는 다음과 같다. 1. 수조내에 색망지를 설치하지 않고 백색 배경 하에서 조사하였을 때, 돌돔과 능성어는 양 가쪽 구간중 어느 한 쪽으로 편중하여 분포하는 경향은 나타나지 않았다. 2. 돌돔은 수조의 양 가쪽 구간에 색망지를 설치한 경우가 설치하지 아니한 때보다 중간 구간에 많이 모였으나, 능성어에서는 반대로 나타났다. 3. 돌돔이 많이 선택한 색망지의 순위는 황색, 흑색, 청색, 녹색, 적색의 순으로 나타났다. 4. 능성어가 많이 선택한 색망지의 순위는 녹색, 흑색, 적색, 청색, 황색의 순으로 나타났다.

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어류의 주광성에 관한 연구 (3) - 어광의 돌돔과 복섬의 반응 - (Phototaxis of Fish (3) - Response of Rock bream and Grass Puffer to the Colored lights -)

  • 양용림
    • 수산해양기술연구
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    • 제16권1호
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    • pp.37-42
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    • 1980
  • The purpose of the present study is to find the color induced maximum gathering rate and to observed'the trend of the - gathering rate by using two species of commercial fishes: rock bream, Oplegnathus fasciatus (Temminet et Schlegel) and 'grass puffer, Fugu niphobles (Jordan et Snyder). An experimental tank($360L{\times}50W{\times}55H cm$) was set up in a dark room. An illumination system was attached to the two end of tank to fix horizontal light intensity by co~bination c' one light bulb(20W) and four filters (red, blue, yellow, white) and the five regulating filters in order to fix light intensity. During the experiment water depth was maintained 50 cm lever in the tank. The tank was marked into six longitudinal sections each being 60 em long to observe the distribution of fish. The fish were acclimatized in dark condition for 40 minutes prior to the main experiment. Upon turning on the light, the number of fish in each section was counted 40 times every 30 seconds, and the gathering rates ,were obtain from the average number of fish in each secion. The color induced maximum gathering rate of rock bream appeared to be red, blue yellow and white color orderly.However, that of grass puffer appeared to be blue, white, yellow and red color orderly. Trend of the gathering rate in illumination time showed the remarkable fluctuation in the rock bream and little difference at the two color light sources. However, trend of the gathering rate in illumination time showed the little fluctuation in grass puffer and much difference at the two color light sources.

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색상 검출 알고리즘을 활용한 물고기로봇의 위치인식과 군집 유영제어 (Position Detection and Gathering Swimming Control of Fish Robot Using Color Detection Algorithm)

  • 무하마드 아크바르;신규재
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2016년도 추계학술발표대회
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    • pp.510-513
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    • 2016
  • Detecting of the object in image processing is substantial but it depends on the object itself and the environment. An object can be detected either by its shape or color. Color is an essential for pattern recognition and computer vision. It is an attractive feature because of its simplicity and its robustness to scale changes and to detect the positions of the object. Generally, color of an object depends on its characteristics of the perceiving eye and brain. Physically, objects can be said to have color because of the light leaving their surfaces. Here, we conducted experiment in the aquarium fish tank. Different color of fish robots are mimic the natural swim of fish. Unfortunately, in the underwater medium, the colors are modified by attenuation and difficult to identify the color for moving objects. We consider the fish motion as a moving object and coordinates are found at every instinct of the aquarium to detect the position of the fish robot using OpenCV color detection. In this paper, we proposed to identify the position of the fish robot by their color and use the position data to control the fish robot gathering in one point in the fish tank through serial communication using RF module. It was verified by the performance test of detecting the position of the fish robot.

콘크리트 수조 구조물에 사용하는 방식코팅재의 화학수 침지에 따른 색차 변화와 물리적 성질의 관계분석 기초 연구 -에폭시 수지계 도료를 중심으로- (Analysis of Color0Difference and Physical Property of Anti-Corrosion Coatings Used in Concrete Tank)

  • 서현재;김동법;김윤호;최성민;오상근
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2010년도 춘계 학술논문 발표대회 1부
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    • pp.77-81
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    • 2010
  • This study deals with the analysis of color-difference and physical property of anti-corrosion coatings using at inside of concrete tank for drinking water. Because anti-corrosion coatings are effected by chemical attack, color and physical property are changed. So in this study when epoxy resin coatings of 3 types were received chemical attack by Cl- and NaOH, we present the co-relationship between color-difference and bond strength. For this study, we used the colorimetry, which can measure the degree of color difference on surface of materials. As the results, in case of Cl-, color change is appeared, bond strength also is decreased. From this experiment, we could know that color change due to chemical aging has the deep relationship with physical performance(bond strength) materials. further researches are needed.

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고체분말/액체연료의 과도혼합 농도 분포 측정 (Measurements of Transient Mixing Concentrations between Solid Powder and Liquid Fuel)

  • 도덕희;염주호;조경래;민성기;김명호;유경원;유남현
    • 한국수소및신에너지학회논문집
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    • 제23권6호
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    • pp.678-687
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    • 2012
  • Concentration fields of solid powder in a liquid fuel were quantitatively measured by a visualization technique. The measurement system consists of a camcoder and three LCD monitors. The solid powder (glass powder) were filled in a head tank which was installed over a main mixing tank ($D{\times}H$, $310{\times}370mm$). The main mixing tank was filled with JetA1 fuel oil. With a sudden opening of the upper tank by pressurized nitrogen gas with 1.9 bar, the solid powder were poured into the JetA1 oil. An impeller type agitator was being rotated in the mixing with 700 rpm for the enhancements of mixing. Uniform visualization for the mixing flow field was made by the light from the three LCD monitors, and the visualized images were captured by the camcoder. The color images captured by the camcoder The color information of the captured images was decoded into three principle colors R, G, and B to get quantitattive relations between the concentrations of the solid powder and the colors. To get better fitting for the strong non-linearity between the concentration and the color, a neural network which has strong fitting performances was used. Analyses on the transient mixing of the solid powders were quantitatively made.

색광에 대한 까치복의 반응 (Response of Striped Puffer , Fugu xanthopterus to the Colored Lights)

  • 양용림
    • 수산해양기술연구
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    • 제30권2호
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    • pp.78-85
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    • 1994
  • The author carried out an experiment to find out the response of Striped puffer. Fugu xanthoperus (Temminck et Schlegel) to the color lights. The experimental tank (300L$\times$50W$\times$50Hcm) was set up in a dark room. Six longitudinal sections with 60cm intervals are marked in the tank to observe the location of the fish. Water depth in the tank was kept 50cm level. Light bulbs of 20W at the both ends of the tank projected the light horizontally into the tank. Two different colored filters were selected from four colors of red, blue, yellow, and white, and the were placed in front of the light bulbs to make different colors of light. Light intensity was controlled by use of auxiliary filiters intercepted between the bulb and the filter. The fishes were acclimatized in the dark for 60 minutes before they were employed in the experiment. Upon turning on the light, the number of fish in each section was counted 40 times in 30 second intervals, and the mean of the number of fish in each section was counted 40 times in 30 second intervals, and the mean of the number of fish in each section was given as the gathering rate of the fish. The colors favourited by the fish was found in order of blue, yellow, white and red in the daytime, and blue, white, yellow and red at night. The difference of the average distribution on two different colors of light was 13.12%(4.10-26.55%), and the difference in the daytime(14.79%) was larger than at night (11.45%). Constantly the gathering rate of fish on illumination period was fluctuated with instability. As the gathering rate of fish on illumination period was fluctuated with instability. As the gathering rate on one color of light increased, the gathering rate on the other color of light decreased. The difference of the gathering rate on two different colors of light was comparatively distinct and the difference in the daytime was larger than at night.

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정량적 유동가시화 기술을 이용한 이종연료유 과도 혼합 농도분포 측정 (Measurements on Transient Mixing Concentrations of Two Fuel Oils using a Quantitative Flow Visualization Technique)

  • 염주호;도덕희;조경래;민성기;김명호;유경원
    • 한국수소및신에너지학회논문집
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    • 제23권4호
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    • pp.364-372
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    • 2012
  • Transient mixing states of two different fuel oils, dimethylformamide (DMF) oil and JetA1 oil, were investigated by using a color image processing and a neural network. A tank ($D{\times}H$, $310{\times}370mm$) was filled with JetA1 oil. The DMF oil was filled at a top tank, and was mixed with the JetA1 oil in the tank mixing tank via a sudden opening which was performed by nitrogen gas with 1.9 bar. An impeller was rotated with 700 rpm for mixing enhancements of the two fuel oils. To visualize the mixing state of the DMF oil with the JetA1 oil, the DMF oil was coated with Rhodamine B whose color was red. A LCD monitor was used for uniform illumination. The color changes of the DMF oil were captured by a camcoder and the images were transferred to a host computer for quantifying the information of color changes. The color images of two mixed oils were captured with the camcoder. The R, G, B color information of the captured images was used to quantify the concentration of the DMF oil. To quantify the concentration of the DMF oil in the JetA1 oil, a calibration of color-to-concentration was carried out before the main experiment was done. Transient mixing states of DMF oil with the JetA1 oil since after the sudden infiltration were quantified and characterized with the constructed visualization technique.

문어흘림낚시용 친환경 봇돌의 색 효과 (Color effect of the environment-friendly sinker for octopus drift-line)

  • 안영일
    • 수산해양기술연구
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    • 제45권3호
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    • pp.144-150
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    • 2009
  • The choice behavior of the octopus in response to the environment-friendly colored sinker for octopus driftline and the sinker's fishing effect were studied under experimental conditions in the water tank and the field. The colors of the sinkers used for the experiment are white, black, yellow and green. Artificial baits are attached to the sinkers in order to attract the octopuses in the experiment. In the water tank experiment, two sinkers of two different colors are placed in a compartmentalized corner of the rectangular tank, and a CCD camera records the choice behaviors of the octopuses to the colored sinkers. In the field experiment, the catch investigation of octopus for each colored sinker was conducted 14 times in total by using 2(A, B) commercial fishing boats at the coast of Gangneung within 30m of depth in 2006. The number of colored sinkers per operation was a total of 24-40 pieces with the same number of sinkers individually for four colors. As a result, it was found that the octopus selected white the most followed by black and yellow in their choice of colored sinkers in the water tank experiment, and green was the lowest in their choice. Even in the field experiment, the sinkers of white and black showed a higher catch of octopus than the sinkers of yellow and green.