• Title/Summary/Keyword: 오프셋 윤곽선

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A Neural Network Model for Perceiving the induced stimuli from Illusions defined by Offset Gratings (오프셋 격자 윤곽에서 특징 자극 추출 모델)

  • Jeong, Eun-Hwa;Hong, Keong-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11a
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    • pp.683-686
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    • 2002
  • 본 연구는 불연속선에 의해 생성된 시각적 착시에서 착시 윤곽의 특징들을 구하는 인식 모델을 제안한다. 착시 윤곽은 일상생환에서 흔히 접하는 현상으로서 외부 세계에 존재하는 동일한 강도의 물리적 에너지를 주변 자극의 영향 때문에 실제와 다르게 해석하는 현상이다. 착시 그림들로부터 착시 윤곽을 이루는 특징 자극을 추출하는 신경회로망 모델을 제안한다. 제안된 인식 모델은 윤곽 추출, 시파 특징 추출, 시파 특징 복원, 유도 자극 추출, 이미지 복원 및 이미지 연산 단계로 구성된다. 제안된 모델은 불연속적인 선에 의해 나타나는 오프셋 격자 윤곽에서 특징 자극들을 추출한다.

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Practical Method for Generating Surface Mesh using Offset Table (기본 오프셋을 이용한 상선의 선체표면 격자계 생성방법)

  • Wo-Joan Kim;Suak-Ho Van
    • Journal of the Society of Naval Architects of Korea
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    • v.36 no.1
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    • pp.61-69
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    • 1999
  • To promote the usability of CFD techniques for the basic hull form design, a hull surface mesh generating program, based on given station offsets and centerline profile, is developed. The new method employs non-uniform parametric splines with predetermined waterline end-shapes of natural spline, normal spline, ellipse, parabola hyperbola, and their combinations. Generated hull surface meshes can be utilized for potential panel method immediately and can be also used as a boundary grid surface for 3-D field grid system. Mesh topology chosen to represent hull surface can be transformed into a rectangle, which he1ps the flow solvers to transform surface meshes for the nonlinear free surface condition or to define the turbulence quantities. To prove the applicability, a container ship with bow and stem bulb is chosen, and the procedures generating hull surface meshes are described.

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The Efficient Edge Detection using Genetic Algorithms and Back-Propagation Network (유전자와 역전파 알고리즘을 이용한 효율적인 윤곽선 추출)

  • Park, Chan-Lan;Lee, Woong-Ki
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.11
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    • pp.3010-3023
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    • 1998
  • GA has a fast convergence speed in searching the one point around optimal value. But it's convergence time increase in searching the region around optimal value because it has no regional searching mechanism. BP has the tendency to converge the local minimum because it has global searching mechanism. To overcome these problems, a method in which a genetic algorithm and a back propagation are applied in turn is proposed in this paper. By using a genetic algorithm, we compute optimal synaptic strength and offset value. And then, these values are fed to the input of the back propagation. This proposed method is superior to each above method in improving the convergence speed.

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A New Offset Algorithm for Closed 2D Lines with Islands (섬을 가진 2차원 직선 폐곡선에 대한 새로운 오프셋 알고리듬)

  • Kim Hyun-Chul;Lee Sung-Gun;Yang Min-Yang
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.30 no.2 s.245
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    • pp.141-148
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    • 2006
  • In this paper, a new offset algorithm for closed 2D lines with islands is introduced and the result is illustrated. The main point of the proposed algorithm is that every point is set to be an offset by using bisectors, and then invalid offset lines, which are not to be participated in offsets, are detected in advance and handled with an invalid offset edge handling algorithm. As a result, raw offset lines without local invalid loops are generated. The proposed offset method is proved to be robust and simple, moreover, has a near O(n) time complexity, where n denotes the number of input lines. In addition, the proposed algorithm has been implemented and tested with 2D lines of various shapes.

Fabrication of a Brain Model using the Adaptive Slicing Technique (적응단면기법을 이용한 뇌모형제작)

  • Yeom, Sang-Won;Um, Tai-Joon;Joo, Yung-Chul;Kim, Seung-Woo;Kong, Yong-Hae;Chun, In-Gook;Bang, Jae-Chul
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.4
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    • pp.485-490
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    • 2003
  • RP(Rapid Prototyping) has been used in the various industrial applications. This paper presents the optimization techniques fur fabricated 3D model design using RP machine for the medical field. Once the original brain model data are obtained from 2D slices of MRI/CT machine, the data can be modeled as an optimal ellipse. The objective of this study includes optimization of fabrication time and surface roughness using the adaptive slicing method. It can reduce fabrication time without losing surface roughness quality by accumulating the slices with variable thickness. According to the parameter tuning and synthesis of its effect, more suitable parameter values can be obtained by enhanced 3D brain model fabrication. Therefore, accurate 3D brain model fabricated by RP machine can enable a surgeon to perform pre-operation. to make a decision for the operation sequence and to perceive the 3D positions in prototype, before delicate operation of actual surgery.