• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.5
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• pp.1-7
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• 1997

In this paper, a neuro-contouring control scheme for the high precision machining of CNC machine tools is descrihed. The proposed control system consists of a conventional controller for each axis and an additional neuro-controller. For contouring control, the contour error must be computed during realtime motion, but generally the contour error for nonlinear contours is difficult to he directly computed. We, therefore, propose a new contour error model to approximate real error more exactly, and here we also introduce a cost function for better contouring performance and derive a learning law to adjust the weights of the neuro-controller. The derived learning law guarantees good contouring performance. Usefulness of the proposed control scheme is demonstrated hy computer simulations.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.189-189
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• 2004

본 논문은 CNC 밀링머신을 이용한 절삭가공 등 2축시스템의 위치제어 시스템을 대상으로 한다. 기존의 제어방식은 크게 독립축제어와 상호결합제어로 분류할 수 있다. 독립축제어는 두 축의 통합된 운동을 각각의 독립된 축에 대한 추적제어를 수행하여 원하는 공구경로의 위치 정밀성을 향상시키고자 하는 것이고, 상호결합제어는 지령경로에 대한 추적성능보다는 현재의 윤곽오차를 감소시키는 방향으로 제어입력을 인가하여 가공윤곽의 오차를 감소시키는데 주목적이 있다. 또한 최근의 작업공정의 고속화 경향은 윤곽오차를 감소시키면서도 추적성능이 우수한 제어방식을 요구하고 있다.(중략)

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.10a
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• pp.307-308
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• 2006

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.385-386
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• 2009

활성 윤곽선 모델은 스네이크 모델이라고도 하며 영상에서 물체의 경계를 검출하기위한 효과적인 방법으로 사용되고 있다. 본 논문에서는 초기 윤곽선 문제와 효과적인 경계선 검출을 위해 다해상도 기반의 유전자 알고리즘을 이용한 활성 윤곽선 모델을 제안한다. 입력영상의 해상도를 영상 피마리드 기법으로 저해상도로 축소시키고 초기 윤곽선을 설정한다. 설정된 윤곽선상의 연속된 두 좌표를 유전인자로 선택하고, 유전 연산자를 적용하여 물체의 경계를 찾아간다. 경계가 검출된 저해상도 영상을 단계적으로 확대하여, 보간될 영역의 국부적 활성 윤곽선 에너지를 계산하여 최소 에너지를 갖는 위치에 새로운 윤곽선 좌표를 삽입하여 경계를 형성한다. 제안된 방법은 초기 윤곽선의 위치에 상관없이 경계선을 검출했으며, 형태가 복잡한 물체의 경우에도 효과적으로 경계선을 검출하고 계산 복잡도를 감소시켰다.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.520-522
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• 1998

활성 윤곽선 모델(Active Contour Model : Snake)을 이용한 윤곽선 추출 방법에서는 물체를 검출하기 위해 잠재적 표면(potential surface) 위에서 지역 최소치를 향하여 다양한 힘을 가함으로써 물체의 윤곽선으로 활성 윤곽선 모델을 움직이게 한다. 활성 윤곽선 모델에서 영상의 관심있는 물체를 검출하기 위해서는 영상의 잠재적 표면 위에서 활성 윤곽선 모델이 지역 최소치를 향하여 활동적으로 움직이도록 다양한 힘을 효과적으로 제어해야 한다. 본 논문에서는 활성 윤곽선 모델이 적합한 지역 최소치를 향하여 적절하게 수렴하도록 활성 윤곽선 모델이 움직이는 잠재적 표면을 변형할 수 있는 영상 필터를 제안한다.

• Transactions of the Korean Society of Mechanical Engineers
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• v.12 no.2
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• pp.389-396
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• 1988

Microprocessor-based software DDA interpolator is developed and applied to two axis contouring control of X-Y table. Developed assembly program is composed of feedrate, linear and circular DDA interpolation routines. Reference-pulse type of open-loop stepping motor control system in which the micro-computer produces a sequence of reference pulses for each axis of motion is adopted. To test performance of the developed program, X-Y table drive system based on stepping motor and shaft encoder is designed. Conturing error of the system in linear and circular path is within .+-. 0.2mm under start stop pulse rate of stepping motor.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.137-138
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• 2006

This paper proposes a controller design analysis for three-axis CNC systems considering both contouring and tracking performance. The proposed analysis inclusively combines axial controllers for each individual feed drive system together with cross-coupling controller at the beginning design stage as an integrated manner. These two controllers used to be separately designed and analyzed since they have different control objectives. The proposed scheme includes a stability analysis for the overall control system and a performance analysis in terms of contouring and tracking accuracy. Computer simulation is performed and the results show the validity of the proposed methodology.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.10a
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• pp.283-283
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• 2003

• The Transactions of the Korea Information Processing Society
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• v.6 no.7
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• pp.1962-1969
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• 1999

Active contours are deformable energy minimizing curves controlled by internal energy and external energy. The internal energy is constraint to preserve a smooth curve, and the external energy guides the curve towards image features. B-spline representation of active contours can be of great benefits in the segmentation and description whose shape is characterized by its defining polygon or control points. Menet et al proposed B-spline representation of active contours based on dynamic programming. The method is simple and efficient by comparing over finite difference method.

• Journal of Broadcast Engineering
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• v.14 no.3
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• pp.322-331
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• 2009

This paper proposes an efficient data representation of stereo images using edge-based mesh optimization. Mash-based two dimensional warping for stereo images mainly depends on the performance of a node selection and a disparity estimation of selected nodes. Therefore, the proposed method first of all constructs the feature map which consists of both strong edges and boundary lines of objects for node selection and then generates a grid-based mesh structure using initial nodes. The displacement of each nodal position is iteratively estimated by minimizing the predicted errors between target image and predicted image after two dimensional warping for local area. Generally, iterative two dimensional warping for optimized nodal position required a high time complexity. To overcome this problem, we assume that input stereo images are only horizontal disparity and that optimal nodal position is located on the edge include object boundary lines. Therefore, proposed iterative warping method performs searching process to find optimal nodal position only on edge lines along the horizontal lines. In the experiments, we compare our proposed method with the other mesh-based methods with respect to the quality by using Peak Signal to Noise Ratio (PSNR) according to the number of nodes. Furthermore, computational complexity for an optimal mesh generation is also estimated. Therefore, we have the results that our proposed method provides an efficient stereo image representation not only fast optimal mesh generation but also decreasing of quality deterioration in spite of a small number of nodes through our experiments.