• 제목/요약/키워드: SC_CNN

검색결과 22건 처리시간 0.017초

The Collision Avoidance Method in the Chaotic Robot with Hyperchaos Path

  • Youngchul Bae;Kim, Juwan;Park, Namsup
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2003년도 추계종합학술대회
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    • pp.584-588
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    • 2003
  • In this paper, we propose a method to avoid obstacles that have unstable limit cycles in a Hyperchaos trajectory surface. We assume all obstacles in the chaos trajectory surface have a Van der Pol equation with an unstable limit cycle. When a chaos robot meets an obstacle in a hyper-chaos equation trajectory, the obstacle reflects the robot. We also show computer simulation result of hyperchaos equation trajectories with one or more Van der Pol obstacles.

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딥러닝 및 영상처리 기술을 활용한 콘크리트 균열 검출 방법 (A Method for Detecting Concrete Cracks using Deep-Learning and Image Processing)

  • 정서영;이슬기;박찬일;조수영;유정호
    • 대한건축학회논문집:구조계
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    • 제35권11호
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    • pp.163-170
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    • 2019
  • Most of the current crack investigation work consists of visual inspection using simple measuring equipment such as crack scale. These methods involve the subjection of the inspector, which may lead to differences in the inspection results prepared by the inspector, and may lead to a large number of measurement errors. So, this study proposes an image-based crack detection method to enhance objectivity and efficiency of concrete crack investigation. In this study, YOLOv2 was used to determine the presence of cracks in the image information to ensure the speed and accuracy of detection for real-time analysis. In addition, we extracted shapes of cracks and calculated quantitatively, such as width and length using various image processing techniques. The results of this study will be used as a basis for the development of image-based facility defect diagnosis automation system.