• Title/Summary/Keyword: Gray difference

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The Effect oi Saponin Fraction of Panax Ginsen C.A. Meyer on Aldehyde Dehydrogenase Activity in Neurons and Astrocytes Isolated from Ethanol Administered Rat Brain (인삼사포닌 분획이 에탄올을 투여한 쥐의 뇌에서 분리한 신경세포와 Astrocyte의 Aldehyde Dehydrogenase 활성에 미치는 영향)

  • Lee, Myeong-Don;Hwang, U-Seop;Seo, Hae-Yeong
    • Journal of Ginseng Research
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    • v.21 no.1
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    • pp.53-60
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    • 1997
  • The changes in aldehyde dehydrogenase(ALDH, E.C. 1.2.1.3.) activity in neurons and astrocytes isolated from rat brains were investigated after administration of ethanol and Korean red ginseng(Panax ginseng C.A. Meyer) saponln. The cerebral ALDH activity with acetaldehyde and Propionaldehyde was higher in the white matter than in the gray matter. However, using indole-3-a-cetaldehyde and 3,4-dihydroxyphenylacetaldehyde as substrates, there was no significant difference in activity between two regions in cerebrum. In ethanol treated group, ALDH activity with all the substrates in the gray and white matter was lower than in normal group. In ethanol-saponin treated group, the enzyme activity in the white matter remarkably Increased. The ALDH activity in neurons isolated from cerebral cortex in ethanol-treated group was lower than in normal group. In ethanol-saponin treated group, neuronal ALDH activity with propionaldehyde was significantly recovered but not with Indole-3-acetaldehyde. In astrocytes, although the ALDH activity with propionaldehyde in the ethanol-treated group was not changed as compared with normal group, considerable increase in activity was found in ethanol-saponin treated group. These results suggest that Korean red ginseng saponin may protect the neuronal functions from the toxic effects of acetaldehyde derived from ethanol by stimulation of ALDH activity in astrocytes surrounding nerve cells.

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Effect of Electron Beam Irradiation on Selected Vegetable Seeds and Plant-Pathogenic Microorganisms (전자선 조사의 채소 종자 및 식물병원성 미생물에 대한 영향)

  • Bae, Young-Min
    • Journal of Life Science
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    • v.23 no.12
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    • pp.1415-1419
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    • 2013
  • Electron beam (EB) irradiation was tested to determine the dose required to eradicate plant pathogens, such as Botrytis cinerea and Agrobacterium rhizogenes, from the infected seeds without affecting the germination rate of the irradiated vegetable seeds, including crown daisy, cucumber, hot pepper, green onion, leaf lettuce, and radish seeds. EB irradiation of 1.5 kGy and 2 kGy was sufficient to kill 100% of hairy root disease bacteria and gray mold conidia, respectively. EB irradiation showed no effect or minimal effect on the germination rate of the crown daisy, cucumber, green onion, and radish seeds. However, the germination rate of the hot pepper and leaf lettuce seeds was significantly reduced by using 2 kGy of EB irradiation. Difference in susceptibility to EB irradiation appears not to be related to the weight of each seed, but to the intrinsic characteristic of each plant. Conclusively, EB irradiation might be a useful way to decontaminate crown daisy, cucumber, green onion, and radish seeds.

Remote Sensing Information Models for Sediment and Soil

  • Ma, Ainai
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.739-744
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    • 2002
  • Recently we have discovered that sediments should be separated from lithosphere, and soil should be separated from biosphere, both sediment and soil will be mixed sediments-soil-sphere (Seso-sphere), which is using particulate mechanics to be solved. Erosion and sediment both are moving by particulate matter with water or wind. But ancient sediments will be erosion same to soil. Nowadays, real soil has already reduced much more. Many places have only remained sediments that have ploughed artificial farming layer. Thus it means sediments-soil-sphere. This paper discusses sediments-soil-sphere erosion modeling. In fact sediments-soil-sphere erosion is including water erosion, wind erosion, melt-water erosion, gravitational water erosion, and mixed erosion. We have established geographical remote sensing information modeling (RSIM) for different erosion that was using remote sensing digital images with geographical ground truth water stations and meteorological observatories data by remote sensing digital images processing and geographical information system (GIS). All of those RSIM will be a geographical multidimensional gray non-linear equation using mathematics equation (non-dimension analysis) and mathematics statistics. The mixed erosion equation is more complex that is a geographical polynomial gray non-linear equation that must use time-space fuzzy condition equations to be solved. RSIM is digital image modeling that has separated physical factors and geographical parameters. There are a lot of geographical analogous criterions that are non-dimensional factor groups. The geographical RSIM could be automatic to change them analogous criterions to be fixed difference scale maps. For example, if smaller scale maps (1:1000 000) that then will be one or two analogous criterions and if larger scale map (1:10 000) that then will be four or five analogous criterions. And the geographical parameters that are including coefficient and indexes will change too with images. The geographical RSIM has higher precision more than mathematics modeling even mathematical equation or mathematical statistics modeling.

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Depth-based Correction of Side Scan Sonal Image Data and Segmentation for Seafloor Classification (수심을 고려한 사이드 스캔 소나 자료의 보정 및 해저면 분류를 위한 영상분할)

  • 서상일;김학일;이광훈;김대철
    • Korean Journal of Remote Sensing
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    • v.13 no.2
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    • pp.133-150
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    • 1997
  • The purpose of this paper is to develop an algorithm of classification and interpretation of seafloor based on side scan sonar data. The algorithm consists of mosaicking of sonar data using navigation data, correction and compensation of the acouctic amplitude data considering the charateristics of the side scan sonar system, and segmentation of the seafloor using digital image processing techniques. The correction and compensation process is essential because there is usually difference in acoustic amplitudes from the same distance of the port-side and the starboard-side and the amplitudes become attenuated as the distance is increasing. In this paper, proposed is an algorithm of compensating the side scan sonar data, and its result is compared with the mosaicking result without any compensation. The algorithm considers the amplitude characteristics according to the tow-fish's depth as well as the attenuation trend of the side scan sonar along the beam positions. This paper also proposes an image segmentation algorithm based on the texture, where the criterion is the maximum occurence related with gray level. The preliminary experiment has been carried out with the side scan sonar data and its result is demonstrated.

The Change of Accommodative Functions by Difference Density and Color (착색렌즈의 농도와 색상에 따른 조절기능 변화)

  • Jang, Jung Un
    • The Korean Journal of Vision Science
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    • v.20 no.4
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    • pp.453-459
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    • 2018
  • Purpose : This study was to investigate the change of accommodative functions by different color density and color of colored lenses. Methods : Participant had a normal NPC and no dyschromatopsia, phoria and eye disease, also had no histories of eye surgery in 31 students of university. Their accommodative functions were measured according to 50%, 80% density of the gray, blue, brown lens and non-colored lenses. Tests of accommodative functions performed include amplitude of accommodation, accommodative facility, relative accommodation, and accommodative lag. Results : The amplitude of accommodation and accommodation lag were increased when wearing the colored lens. Negative relative accommodation was more increased when wearing the colored lens than achromatic. Positive relative accommodation increased when wearing the blue color lens density by 50%. Also, accommodation facility increased when wearing the colored lens, but, as the density of the color increased, the accommodation facility was decreased. Conclusion : As since the accommodation function changes according to density of the colored lenses, working distance and environment of the wearing colored lens should be considered when selecting density and color of colored lenses.

Analysis of components according to different collecting time and production method in sun-dried salt (채취시기 및 생산방법에 따른 천일염의 성분 분석)

  • Jin, Yong-Xie;Kim, Haeng-Ryan;Kim, So-Young
    • Food Science and Preservation
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    • v.20 no.6
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    • pp.791-797
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    • 2013
  • This study was conducted to investigate the changes in the composition and microbiological properties of domestic sun-dried salt (white and gray salts) according to their collection time and production method. The results showed that the moisture contents of the white and gray sun-dried salts were 10.4~13.2% and 5.2~8.0%, respectively, and the sand contents were 0.1% and 0.2~0.3%, respectively, according to the month. Several samples exceeded the criteria of 15% moisture content and 0.2% sand content. The ash content and salinity of gray salt (below 85% and 90%, respectively) were higher than those of white salt (both below 80%). The total chloride contents of the salts collected in September and October were slightly lower than that of the others and exceeded the criteria of above 40%. In the case of mineral contents, there was no significant difference among the collection times because the analyses showed a marked deviation. The microbiological analysis showed that there was no significant difference among the production method, but the salt samples collected in September and October had relatively high detection rates of total aerobe, staphylococci, and halophilic bacteria.

The Comparison of the Color Perception between the Korean and the Japanese undergraduates (한일 대학생의 색지각에 대한 비교연구)

  • ;;都築和代
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.12 no.3
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    • pp.1-6
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    • 1998
  • The purpose of this study was to investigate the scope of color perception for Japan standard color. In addition to, we compared the difference in the color perception between the Korean and the Japanese undergraduates. 140 male and 119 female Japanese undergraduates were selected as the random sample. Color perception was made with the naked eyes. Minolta Chroma Metre CR 300 was used for physical measurement of the color. The results were as follows, 1) Japanese students' perceived color perception was classified into four large groups: simple group includes Red, Yellow, Blue, White, Gray and Black, X(-axis)group includes Green, Red Purple, Y(-axis)group includes Green, complex group includes Blue Green, Purple, Purple Blue, Red Purple. 2) There is difference between Korean color perception and Japanese; for Yellow Red, Blue, Blue Green, Red Purple. 3) There is little difference between the values of standard color and mean percept color for Yellow while big difference for Blue. And as for as country was concerned, Korean is more accurate than Japanese in color perception.

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A Study on Fibrillation of Tencel material(Part II) -Based on Fibril Occurrence and Evaluation Method- (텐셀소재의 fibrillation에 관한 연구(제2보) -피브릴발생 및 평가방법을 중심으로-)

  • 정영희;송경헌;양진숙
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.4
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    • pp.665-672
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    • 2001
  • Fibrillation is caused by wet abrasion and occurs during scouring treatments, domestic laundering and wet finishing. So, for clean fabrics, fibrillation must either be prevented or removed after it has occurred. In this study, we researched the influence thickness of tencel on fibrillation occurrence. And the three methods of SEM photograph, reflectance values and gray level values were used in order to present proper evaluation method for fibrillation. The results are as follows. The thickness of tencel was high affected with occurrence of fibrillation, that is, as the thickness of fabrics thicker, the fibrillation occurer. And all method applicated as fibrillation evaluation method very effected without big difference, but they come into be a little question in the side of exactness.

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Inspection of Automotive Oil-Seals Using Artificial Neural Network and Vision System (인공신경망과 비전 시스템을 이용한 자동차용 오일씰의 검사)

  • 노병국;김기대
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.8
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    • pp.83-88
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    • 2004
  • The Classification of defected oil-seals using a vision system with the artificial neural network is presented. The artificial neural network fur classification consists of 27 input nodes, 10 hidden nodes, and one output node. The selection of the number of the input nodes is based on an observation that the difference among the defected, non-defected, and smeared oil-seals is greatly pronounced in the 26 step gray-scale level thresholding. The number of the hidden nodes is chosen as a result of a trade-off between accuracy and computing time. The back-propagation algorithm is used for teaching the network. The proposed network is capable of successfully classifying the defected from the smeared oil-seals which tend to be classified as the defected ones using the binary thresholding. It is envisaged that the proposed method improves the reliability and productivity of the automotive vision inspection system.

Automatic Image Mosaicking

  • Song Nak-hyun;Cho Woosug;Cho Seong-Ik;Yun YoungBo
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.121-124
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    • 2004
  • This paper proposed the method of creating image mosaic in automated fashion. It is well known that geometric and radiometric balance in adjacent images should be maintained in mosaicking process. The seam line to minimize geometric discontinuity was extracted using Minimum Absolute­Gray-Difference Sum considering constraint condition in search width. To maintain the radiometric balance of images acquired at different time, we utilized Match Cumulative Frequency, Match Mean and Standard Deviation and Hue Adjustment algorithm. The mosaicked image prepared by the proposed method was compared with those of commercial software. Experiments show that seam lines were extracted significantly well from roads, rivers. ridgelines etc. and Match Cumulative Frequency algorithm was performed pretty good in histogram matching

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