• Title/Summary/Keyword: 반사 특성 도표

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Analysis of the Reflection Characteristics of a Rectangular Corner Cube Retro-Reflector (사각면 코너 큐브 재귀 반사체의 반사출력광 특성 및 응용)

  • Jeong, Yong-Beom;Kim, Young-Hoon;O, Beom-Hoan
    • Korean Journal of Optics and Photonics
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    • v.26 no.1
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    • pp.17-22
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    • 2015
  • The applications for retro-reflectors, with their unique reflection characteristics, have been expanding, to include venetian blind slats, displays, traffic safety mark, etc. We propose expandable structures of inclined corner cube retro-reflectors and analyze their corresponding reflection characteristics. Various traffic safety structures with retro-reflectors may be designed more quantitatively using the chart of characteristics we have presented.

Analysis and Application of the Reflection Characteristics of a Simple Retro-reflector (1차원적 단순배열구조 재귀반사체의 반사출력광 특성 및 응용)

  • Jeong, Yong-Beom;Hong, Sung-Hoon;Lee, Seung-Gol;O, Beom-Hoan
    • Korean Journal of Optics and Photonics
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    • v.25 no.5
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    • pp.239-244
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    • 2014
  • Retro-reflectors have been used for a wide range of applications such as traffic safety, special blinds, optical devices, etc. We analyzed the characteristics of the reflected light of a strap retro-reflector as a function of incidence angle. It is expected that various solar control structures may be designed more quantitatively using the characteristic chart we have prepared.

Amplitude Variation Analysis for Deep Sea Seismic Data in the Ulleung Basin, East Sea (동해 울릉분지 심해 탄성파 탐사자료 진폭변화분석)

  • Cheong, Snons;Kim, Youngjun;Kim, Byungyup;Koo, NamHyung;Lee, Ho-Young
    • Geophysics and Geophysical Exploration
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    • v.16 no.3
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    • pp.163-170
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    • 2013
  • The amplitude variation with offset of seismic data can detect fluids in the sediment and resolve the petrophysical properties of hydrocarbons in the subsurface. We analyzed and described the amplitude variation in deep sea seismic data obtained from the Ulleung Basin, East Sea. By inspecting seismic CDP-offset and CDP-angle gathers which show a bright reflection event, we decided a target zone for amplitude variation analysis. From the seismic angle gather at the middle of Ulleung Basin, we recognized amplitude increase or decrease versus offset on the intercept-gradient curve. Using the product attribute and Poisson's ratio change attribute computed in terms of intercept with gradient, the top and the base of gas saturated sediments were described. The area of amplitude variation suggestive of the presence of gas saturated sediments is shown at the depth of 3 s traveltime. Anomalous features of seismic amplitude in the Ulleung Basin were classified by the crossplot of intercept and gradient. The background trend of crossplot between intercept and gradient shows an inverse proportional relation that is common for wet sediments. Anomalous amplitudes of Class III fall into the first and the third quadrants on crossplots. We inferred regional gas/water saturated area with the horizontal dimension of 150 m in the Ulleung Basin by cross-section with respect to cross-plot anomaly.

Computer Vision System for Automatic Grading of Ginseng - Development of Image Processing Algorithms - (인삼선별의 자동화를 위한 컴퓨터 시각장치 - 등급 자동판정을 위한 영상처리 알고리즘 개발 -)

  • 김철수;이중용
    • Journal of Biosystems Engineering
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    • v.22 no.2
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    • pp.227-236
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    • 1997
  • Manual grading and sorting of red-ginsengs are inherently unreliable due to its subjective nature. A computerized technique based on optical and geometrical characteristics was studied for the objective quality evalution. Spectral reflectance of three categories of red-ginsengs - "Chunsam", "Chisam", "Yangsam" - were measured and analyzed. Variation of reflectance among parts of a single ginseng was more significant than variation among the quality categories of ginsengs. A PC-based image processing algorithm was developed to extract geometrical features such as length and thickness of body, length and number of roots, position of head and branch point, etc. The algorithm consisted of image segmentation, calculation of Euclidean distance, skeletonization and feature extraction. Performance of the algorithm was evaluated using sample ginseng images and found to be mostly sussessful.

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