• 제목/요약/키워드: method to select lines

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Recent Progress in Low Cost Dual-Select-Diode AMLCD Technology

  • Boer, Willem Den;Smith, G. Scott
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.II
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    • pp.873-877
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    • 2005
  • Recent developments in Dual Select Diode (DSD) AMLCD technology are described. They include a novel array design and drive method with shared select lines, which leads to higher aperture ratio and a further reduction of module cost. A Color-On-Array DSD process and pixel layout compatible with In-Plane-Switching is also proposed.

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대중교통 이동성과 잠재수요를 이용한 도시 내 지역 간 직결노선버스 기종점 선정에 관한 연구 (A Study of Origin and Destination Decision for a Direct Bus Line in a City with Transit Mobility and Potential Demand)

  • 장경욱;김황배;박홍식;박선복
    • 대한토목학회논문집
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    • 제31권4D호
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    • pp.547-553
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    • 2011
  • 본 연구는 대중교통취약지역 평가척도인 이동성 지표와 잠재수요에 대한 개념을 새로 정립하고 이들 지표를 적용하여 대중교통이동성 취약지역 선정과 이들 지역 간을 연결하는 대중교통 직결노선 선정방법을 제시하였다. 이동성 지표와 잠재수요평가지표를 적용하여 4개 대도시권의 대중교통 취약지역을 선정하고 이들 지역 간을 운행하는 직결 버스 노선을 사례연구를 통해 분석하였다. 분석결과 대중교통 이동성 사각지대는 대중교통통행시간이 승용차에 비해 현저히 높게 소요되거나 대중교통노선의 서비스가 제공되지 않은 지역으로 분석되었다. 또한, 이러한 대중교통취약지역을 해소하기 위한 직결버스노선은 대중교통통행시간을 승용차 통행시간과 동등한 수준을 유지할 수 있도록 자동차 전용도로로 운행하고 승 하차로 인한 통행시간 손실을 최소화 시키고 연계를 극대화 할 수 있는 노선체계가 구축되어야 할 것으로 분석되었다.

확률적인 소실점 추정 기법에 기반한 강인한 송전선 검출 방법 (A Robust Power Transmission Lines Detection Method Based on Probabilistic Estimation of Vanishing Point)

  • 유주한;김동환;이석;박성기
    • 로봇학회논문지
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    • 제10권1호
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    • pp.9-15
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    • 2015
  • We present a robust power transmission lines detection method based on vanishing point estimation. Vanishing point estimation can be helpful to detect power transmission lines because parallel lines converge on the vanishing point in a projected 2D image. However, it is not easy to estimate the vanishing point correctly in an image with complex background. Thus, we first propose a vanishing point estimation method on power transmission lines by using a probabilistic voting procedure based on intersection points of line segments. In images obtained by our system, power transmission lines are located in a fan-shaped area centered on this estimated vanishing point, and therefore we select the line segments that converge to the estimated vanishing point as candidate line segments for power transmission lines only in this fan-shaped area. Finally, we detect the power transmission lines from these candidate line segments. Experimental results show that the proposed method is robust to noise and efficient to detect power transmission lines.

The Study on an Advanced Algorithm for Auto-generation of MOSAIC Seam Lines

  • Park, Young-Hoon;Kim, Jin-Kwang;Kang, Young-Ku
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.464-466
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    • 2003
  • In this paper an advanced algorithm for selecting a seam line automatically, which used to be selected by human operator for mosaicked images is presented. In addition to four factors proposed by automation theory, the FOM(Figure Of Merit) of tie point were taken into account to suggest the method to select a seam line applicatively and the algorithm was applied to mosaic test images.

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Identification of Correlative Transmission Lines for Stability Prediction

  • Cho, Yoon-Sung;Gilsoo Jang;Kwon, Sae-Hyuk;Yanchun Wang
    • KIEE International Transactions on Power Engineering
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    • 제11A권4호
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    • pp.15-20
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    • 2001
  • Power system stability is correlated with system structure, disturbances and operating conditions, and power flows on transmission lines are closely related with those conditions. This paper proposes a methodology to identify correlative power flows for power system transient and small-signal stability prediction. In transient stability sense, the Critical Clearing Time is used to select some dominant contingencies, and Transient Stability Prediction index is proposed for the quantitative comparison. For small-signal stability discusses a methodology to identify crucial transmission lines for stability prediction by introducing a sensitivity factor based on eigenvalue sensitivity technique. On-line monitoring of the selected lines enables to predict system stability in real-time. Also, a procedure to make a priority list of monitored transmission lines is proposed. The procedure is applied to a test system, and it shows capabilities of the proposed method.

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전력계통의 안정도 진단이 가능한 선로 선정에 관한 연구 (Identification of Correlative Transmission Lines for Stability Diagnosis of Power System)

  • 조윤성;장길수;권세혁
    • 대한전기학회논문지:전력기술부문A
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    • 제52권5호
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    • pp.271-278
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    • 2003
  • Power system stability is correlated with system structure, disturbances and operating conditions, and power flows on transmission lines are closely related with those conditions. This paper proposes a methodology to identify correlative power flows for power system transient and small-signal stability prediction. In transient stability sense, the Critical Clearing Time is used to select some dominant contingencies, and Transient Stability Prediction index is proposed for the quantitative comparison. For small-signal stability, this paper discusses a methodology to identify crucial transmission lines for stability Prediction by introducing a sensitivity factor based on eigenvalue sensitivity technique. On-line monitoring of the selected lines enables to predict system stability in real-time. Also, a Procedure to make a priority list of monitored transmission lines is proposed. The procedure is applied to a test system and the KEPCO systems in the year of 2003 and it shows capabilities of the proposed method

Vanishing Point Detection using Reference Objects

  • Lee, Sangdon;Pant, Sudarshan
    • 한국멀티미디어학회논문지
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    • 제21권2호
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    • pp.300-309
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    • 2018
  • Detection of vanishing point is a challenging task in the situations where there are several structures with straight lines. Commonly used approaches for determining vanishing points involves finding the straight lines using edge detection and Hough transform methods. This approach often fails to perform effectively when there are a lot of straight lines found. The lines not meeting at a vanishing point are considered to be noises. In such situation, finding right candidate lines for detecting vanishing points is not a simple task. This paper proposes to use reference objects for vanishing point detection. By analyzing a reference object, it identifies the contour of the object, and derives a polygon from the contour information. Then the edges of the detected polygon are used to find the vanishing points. Our experimental results show that the proposed approach can detect vanishing points with comparable accuracy to the existing edge detection based method. Our approach can also be applied effectively even to complex situations, where too many lines generated by the existing methods make it difficult to select right lines for the vanishing points.

Efficient Classification of High Resolution Imagery for Urban Area

  • Lee, Sang-Hoon
    • 대한원격탐사학회지
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    • 제27권6호
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    • pp.717-728
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    • 2011
  • An efficient method for the unsupervised classification of high resolution imagery is suggested in this paper. It employs pixel-linking and merging based on the adjacency graph. The proposed algorithm uses the neighbor lines of 8 directions to include information in spatial proximity. Two approaches are suggested to employ neighbor lines in the linking. One is to compute the dissimilarity measure for the pixel-linking using information from the best lines with the smallest non. The other is to select the best directions for the dissimilarity measure by comparing the non-homogeneity of each line in the same direction of two adjacent pixels. The resultant partition of pixel-linking is segmented and classified by the merging based on the regional and spectral adjacency graphs. This study performed extensive experiments using simulation data and a real high resolution data of IKONOS. The experimental results show that the new approach proposed in this study is quite effective to provide segments of high quality for object-based analysis and proper land-cover map for high resolution imagery of urban area.

지중배전계통 보호설비 적정위치 선정을 위한 실증시험과 해석 (Field Test and Analysis for Proper Location of Protective Equipment in Underground Distribution System)

  • 윤창섭;이종범
    • 전기학회논문지
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    • 제57권5호
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    • pp.773-782
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    • 2008
  • This paper describes the method for proper location of protective equipment in underground distribution cable through field test and analysis at testing lines. To prove the reliability for analysis simulated by EMTP/ATPDraw, the testing results obtained by the real test and the analysis for the same test lines were compared each other. The accuracy of analysis was proved by the comparison. Over voltages were measured and analyzed at each point of cable and switches in case of which lightning surge current was applied. The analysing method was applied to real distribution systems to select the proper location of protective equipment. It is evaluated that the location of protective equipment was properly selected.

지중송전계통에서 Wavelet 변환과 퍼지추론을 이용한 고장종류판별 및 고장점 추정에 관한 연구 (A Study on the Fault Discrimination and Location Algorithm in Underground Transmission Systems Using Wavelet Transform and Fuzzy Inference)

  • 박재홍;이종범
    • 대한전기학회논문지:전력기술부문A
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    • 제55권3호
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    • pp.116-122
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    • 2006
  • The underground transmission lines is continuously expanded in power systems. Therefore the fault of underground transmission lines are increased every year because of the complication of systems. However the studies dealing with fault location in the case of the underground transmission lines are rarely reported except for few papers using traveling wave method and calculating underground cable impedance. This paper describes the algorithm using fuzzy system and travelling wave method in the underground transmission line. Fuzzy inference is used for fault discrimination. To organize fuzzy algorithm, it is important to select target data reflecting various underground transmission line transient states. These data are made of voltage and average of RMS value on zero sequence current within one cycle after fault occurrence. Travelling wave based on wavelet transform is used for fault location. In this paper, a variety of underground transmission line transient states are simulated by EMTP/ATPDraw and Matlab. The input which is used to fault location algorithm are Detail 1(D1) coefficients of differential current. D1 coefficients are obtained by wavelet transform. As a result of applying the fuzzy inference and travelling wave based on wavelet transform, fault discrimination is correctly distinguished within 1/2 cycle after fault occurrence and fault location is comparatively correct.