• 제목/요약/키워드: (200) texture

검색결과 240건 처리시간 0.025초

토양용액 채취를 위한 토성별 한계수분함량 설정 (Determination of moisture threshold for solution sampling in different soil texture)

  • 이창훈;김명숙;공명석;김유학;오택근;강성수
    • 농업과학연구
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    • 제41권4호
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    • pp.399-404
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    • 2014
  • Soil moisture is an important factor for the availability and circulation of nutrients in arable soil. The purpose of this study was to set thresholds moisture content on soil nitrate concentration in the solution for real-time diagnosis. Sandy loam, silt loam, and sandy loam was filled with $1.2g\;cm^{-3}$ at Wagner pots, 0, 100, and $200mg\;L^{-1}$ of $KNO_3$ was saturated. Nitrate in standard solution was recovered about 95% by passing the porous cup. Nitrate concentrations in sampling of soil solution were examined by using a porous cup. The soil solution was higher in accordance with sandy loam> silt loam> clay loam, limited water filled pore space for sampling soil solution was 33.7, 56.4, and 62.2%, respectively. Nitrate concentration in the soil solution was negligible at sandy loam and silt loam during sampling periods, which was decreased about 50~82% in clay loam compared to the initial $NO_3$-N concentration in the saturated $KNO_3$ solution. Over limitation of soil solution sampling, soil EC and $NO_3$-N content were increased with the saturated $NO_3$-N concentration, regardless of soil texture (p<0.05). Conclusively, soil solution by using a porous cup was possible, regardless of the soil texture, which was useful for the diagnosis in nitrate concentration of soil solution. However, because nitrate concentration of soil solution in a clay loam changes, it was necessary for careful attention in order to take advantage for the real-time diagnosis of nitrogen management in soil.

열처리 동아(Benincasa hispida)를 첨가한 빵의 품질 특성 (Bread Quality with Boiled Wax Gourd (Benincasa hispida))

  • 주인옥;정기태;류정;최정식;최영근;김영수
    • 한국식품과학회지
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    • 제35권2호
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    • pp.195-200
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    • 2003
  • 동아식빵 제조를 위해 동아를 $10{\sim}67%$까지 첨가하고 farinogram에 의한 반죽 특성을 조사한 결과 동아 첨가량이 증가할수록 반죽의 안정도가 감소하고 MTI가 증가하여 밀가루의 안정성은 감소하였다. Baking 후 빵의 부피는 대조구에 비하여 $3.1{\sim}6.4%$ 감소하였으나 중량은 유의적인 차이를 보이지 않았다. 빵의 crust의 색도는 L, a, b값 모두 동아 첨가량이 증가함에 따라 완만하게 감소하였으며 67% 첨가했을 때 가장 낮았다. Crumb의 색도는 동아 첨가에 의한 영향을 받지 않아 모든 처리에서 유의적인 차이를 보이지 않았다. 동아 첨가 빵의 texture를 측정한 결과 동아 첨가량 50%까지는 texture에 큰 영향을 주지 않았으며 67% 첨가했을 때 경도, 검성, 씹힘성에 있어서 유의적인 증가를 보였다. 동아를 첨가한 빵의 관능검사 결과 동아 첨가량 50%까지는 대조구와 유의적인 차이를 나타내지 않았다. 따라서 식빵 제조에 있어서 동아 적정 첨가량은 50%로 나타났다.

Wavelet 기반의 칼라와 질감 특징을 이용한 영상 검색 (Wavelet-based Image Retrieval Using Color and Texture Feature)

  • 정소영;이상미;정성환
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 1998년도 춘계학술발표논문집
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    • pp.34-39
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    • 1998
  • 영상검색을 위해 Wavelet 변환을 사용한 특징추출 접근방법은 영상들을 압축과 동시에 인덱스 할 수 있어서 영상 데이터베이스 저장과 관리의 복잡성이 상당히 감소될 수 있다. 본 연구는 각 영상의 Hue값에 대해 위치 정보의 주파수 정보를 가지는 Wavelet 변환의 성질을 이용하여 2단계 Wavelet 변환 후 생성된 저대역 부밴드에서 칼라 특징을 추출하고 나머지 부밴드에서 질감 특징을 추출하여 영상 데이터베이스의 검색에 이용한다. 200개 영상을 사용하여 실험한 결과, 제안된 방법은 recall과 precision에서 약 97%, 81%의 검색 효율을 보였다.

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Synthesis of Multi-View Images Based on a Convergence Camera Model

  • Choi, Hyun-Jun
    • Journal of information and communication convergence engineering
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    • 제9권2호
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    • pp.197-200
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    • 2011
  • In this paper, we propose a multi-view stereoscopic image synthesis algorithm for 3DTV system using depth information with an RGB texture from a depth camera. The proposed algorithm synthesizes multi-view images which a virtual convergence camera model could generate. Experimental results showed that the performance of the proposed algorithm is better than those of conventional methods.

VMn underlayer for CoCrPt Longitudinal Recording Media

  • Oh, S.C;Lee, T.D
    • Journal of Magnetics
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    • 제5권4호
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    • pp.143-146
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    • 2000
  • In this study, the magnetic properties of CoCrPt films (far longditudinal recording) on a novel VMn underlayer were measured and compared with similar films on conventional Cr underlayers. It was found that the VMn film had (200) preferred orientation and the lattice constant was about 0.2967 nm, which is slightly larger than that of the Cr film, 0.2888 m. The grain size of the VMn film was 9.8 nm at 30 m thickness, about 39% smaller than that of a similarly deposited Cr. The CoCrPt/VMn films showed higher coercivity in comparison with the CoCrPt/Cr films. The coercivity increase is attributed to the increased Co (11.0) texture, improved lattice matching between Co (11.0) and VMn (200), and lower stacking fault density. V or Mn must have diffused into the CoCrPt magnetic layer uniformly rather than preferentially along grain boundaries. This reduced Ms at higher substrate temperature.

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VMn underlayer for CoCrPt Longitudinal Media

  • S. C. Oh;Lee, T. D.
    • 한국자기학회:학술대회 개요집
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    • 한국자기학회 2000년도 International Symposium on Magnetics The 2000 Fall Conference
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    • pp.352-362
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    • 2000
  • In this study, effects of novel VMn underlayer on magnetic properties of CoCrPt/VMn longitudinal medium was studied and compared with those of CoCrPt/Cr medium. It was found that the VMn film had (200) preferred orientation and the lattice constant was about 0.2967 nm, which is slightly larger than that of the Cr, 0.2888 nm. The grain size of VMn film was 9.3 nm at 30 nm thickness, and this is about 38 % smaller than that of a similarly deposited Cr film. The CoCrPt/VMn films showed higher coercivity in comparison with the CoCrPt/Cr films. The coercivity increase seems to be attributed to the increased Co (11.0) texture, improved lattice matching between Co (11.0) and VMn (200), and lower stacking fault density. Mn must have diffused into the CoCrPt magnetic layer more uniformly rather than preferentially along grain boundaries this reduced Ms at higher substrate temperature

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전해도금법을 이용한 구리 박막의 성장 및 열처리 효과 (Growth and Annealing Effect of Cu thin Films Using Electroplating Technique)

  • 박병남;강현재;최시영
    • 대한전자공학회논문지SD
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    • 제40권10호
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    • pp.1-8
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    • 2003
  • 본 연구는 Cu/Ta/Si 기판 위에 전해 도금법으로 성장시킨 구리 박막을 성장 시켰다. 성장 속도는 음극 전류 밀도에 비례하고, 용액의 유량에 반비례하였다. 성장된 구리 박막의 저항률은 약 2.1 μΩ㎝ 이었고, Int/sub (111)//Int/sub (200)/, 비는 5.4였으며, 박막내에 불순물은 발견되지 않았다. 성막후에 10/sup -3/ torr 진공 중에서 온도를 변화해 가면서 열처리를 수행하였다. 열처리후에 저항률은 17 %, 결정성은 40 %의 향상을 보였으며 170℃ 까지는 박막의 스트레스는 변화가 없었다.

흑미 첨가량에 따른 유색 설기떡의 특성평가 (Effect of Addition of Black Pigmented Rice on the Quality of Colored Sulgiddeok)

  • 조미자
    • 한국식품영양학회지
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    • 제14권6호
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    • pp.507-511
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    • 2001
  • 흑미가 가지고 있는 안토시아닌 색소의 기능성을 이용할 목적으로 유색설기떡을 제조하였다. 떡 제조시 흰쌀에 대하여 흑미 첨가량을 달리한 유색설기떡의 색상, 맛, 냄새 및 조직감에 대한 관능평가와 기계적 특성 등을 조사하였다. 관능평가 결과는 흰쌀 1,000g에 흑미 가루 200g을 첨가한 떡이 가장 높았으며, 다음이 150g을 첨가한 경우이었으나 이들간에는 맛을 제외하고는 차이가 없었다. 기계적 특성 조사 결과는 흑미 첨가량이 증가할수록 탄력성, 껌성, 응집성, 경도, 부착성 및 씹힘성 값은 감소하는 경향을 나타내었다. 색도는 흑미 첨가량이 증가할수록 명도와 황색도는 감소하였으나 적색도는 증가하였다. 당도는 7∼9%의 유색설 기떡을 선호하였다. 결론적으로 혹미를 이용하여 유색설기 떡을 만들 때 색. 맛, 냄새 및 조직감을 가장 좋게하기 위한 흑미 첨가량은 200g이 알맞다고 판단하였다.

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2축 정렬된 Ni 위에 MOCVD법에 의한 NiO의 증착조건 (Deposition condition of NiO deposited on biaxially textured Ni by a MOCVD process)

  • 선종원;김형섭;지봉기;박해웅;홍계원;박순동;정충환;전병혁;김찬중
    • 한국초전도ㆍ저온공학회논문지
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    • 제4권2호
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    • pp.5-10
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    • 2002
  • Deposition condition of NiO that is one of Possible buffer layers for YBCO coated conductors was studied. NiO was deposited on textured Ni substrates by a MOCVD (metal-organic chemical vapor deposition) method. The degree of texture, and the surface roughness were analyzed by X-ray Pole figure, atomic force microscope and scanning electron microscope. The (111) and (200) textures were competitively developed , depending on an oxygen partial Pressure(PO2) and deposition temperature (Tp). The (200) textured NiO layer was deposited at Tp=450~47$0^{\circ}C$ and PO2= 1.67 Torr Out-of-Plane ($\omega$-scan) and in-plane ($\Phi$-scan) textures of the (200) NiO films were as good as 10.34$^{\circ}$ and 10.00$^{\circ}$ respectively The AFM surface roughness of NiO was in the range of 3~4.5 nm at PO2=0.91~3.34 Torr and at Tp=47$0^{\circ}C$ , and in the range of 3~13 nm at TP=450~53$0^{\circ}C$ and at PO2=1.67 Torr.

Wood Classification of Japanese Fagaceae using Partial Sample Area and Convolutional Neural Networks

  • FATHURAHMAN, Taufik;GUNAWAN, P.H.;PRAKASA, Esa;SUGIYAMA, Junji
    • Journal of the Korean Wood Science and Technology
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    • 제49권5호
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    • pp.491-503
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    • 2021
  • Wood identification is regularly performed by observing the wood anatomy, such as colour, texture, fibre direction, and other characteristics. The manual process, however, could be time consuming, especially when identification work is required at high quantity. Considering this condition, a convolutional neural networks (CNN)-based program is applied to improve the image classification results. The research focuses on the algorithm accuracy and efficiency in dealing with the dataset limitations. For this, it is proposed to do the sample selection process or only take a small portion of the existing image. Still, it can be expected to represent the overall picture to maintain and improve the generalisation capabilities of the CNN method in the classification stages. The experiments yielded an incredible F1 score average up to 93.4% for medium sample area sizes (200 × 200 pixels) on each CNN architecture (VGG16, ResNet50, MobileNet, DenseNet121, and Xception based). Whereas DenseNet121-based architecture was found to be the best architecture in maintaining the generalisation of its model for each sample area size (100, 200, and 300 pixels). The experimental results showed that the proposed algorithm can be an accurate and reliable solution.