• Title/Summary/Keyword: 후프변환

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Hoop Energy Storage System(HESS) for Electric Power Utility (전력 계통에의 이용을 위한 후프 에너지 저장 시스템)

  • 백광현;정기형
    • Proceedings of the Korea Society for Energy Engineering kosee Conference
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    • 1995.05a
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    • pp.173-178
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    • 1995
  • Hoop Energy Storage System(HESS) for electric power utility were discussed laying primary stress on the diurnal load leveling of Korean electric power system. A number of potential storage technologies are outlined and possibility for real application of HESS was suggested. Primary system variables were determined on the basis of state of electric power demand-supply of 1994. As a prerequisite technology for HESS, noncontacting support using magnetic pressure and high power conversion were discussed.

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Detection of Lane Curve Direction by Using Image Processing Based on Neural Network (차선의 회전 방향 인식을 위한 신경회로망 응용 화상처리)

  • 박종웅;장경영;이준웅
    • Transactions of the Korean Society of Automotive Engineers
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    • v.7 no.5
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    • pp.178-185
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    • 1999
  • Recently, Collision Warning System is developed to improve vehicle safety. This system chiefly uses radar. But the detected vehicle from radar must be decide whether it is the vehicle in the same lane of my vehicle or not. Therefore, Vision System is needed to detect traffic lane. As a preparative step, this study presents the development of algorithm to recognize traffic lane curve direction. That is, the Neural Network that can recognize traffic lane curve direction is constructed by using the information of short distance, middle distance, and decline of traffic lane. For this procedure, the relation between used information and traffic lane curve direction must be analyzed. As the result of application to sampled 2,000 frames, the rate of success is over 90%.t text here.

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Skew Estimation and Correction in Text Images using Shape Moments (형태 모멘트를 이용한 텍스트 이미지 경사 측정 및 교정)

  • Choo, Moon-Won;Chin, Seong-Ah
    • The Journal of the Korea Contents Association
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    • v.3 no.1
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    • pp.14-20
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    • 2003
  • In this paper efficient skew estimation and correction approaches are proposed. To detect the skew of text images, Hough transform using the perpendicular angle view property and shape moments are peformed. The resultant primary text skew angle is used to align the original text. The performance evaluations of the proposed methods with respect to running time are shown.

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