• 제목/요약/키워드: shape finding algorithm

검색결과 69건 처리시간 0.029초

3D 모델과 가버 웨이블릿을 이용한 특징점 검출 (Landmark Detection Using 3D Gobor Wavelet)

  • 김대환;오두식;전승선;김재민;조성원
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.401-402
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    • 2007
  • In this paper, we propose an automatic method to finding corresponding points. One 2D image can be changed 3D shape by 3D model. The main idea is using gabor wavelet values from 3D model. And Elastic Bunch Graph Matching algorithm is more stable in 3D model.

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방향 탐지용 소형 안테나 설계 (Design of Small Antennas for Direction Finding Applications)

  • 조치현;오승섭;추호성;박익모
    • 한국전자파학회논문지
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    • 제18권8호
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    • pp.913-921
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    • 2007
  • 본 논문에서는 새로운 구조의 방향 탐지용 소형 안테나를 제안하였다. 제안한 안테나는 800 MHz 이상의 고주파 대역에서도 안테나의 복사 패턴이 일그러지지 않도록 끝이 구부러진 스커트 모양의 디스크가 연결되었으며, 200 MHz 이하의 저주파 대역에서 증폭기와의 임피던스 매칭이 가능하도록 다단 구조의 매칭 스터브가 삽입되었다. $20{\sim}700 MHz$에서 제안된 안테나는 60cm 다이폴 안테나에 비해 크기가 1/2로 축소되었음에도 불구하고 유사한 성능을 가진다. 또한, 다이폴 안테나와 달리 $700{\sim}1,300 MHz$에서 복사 패턴이 크게 일그러지지 않고 주 빔 방향으로 널이 발생하지 않으며 넓은 빔 폭을 가진다.

Software of Slit-Viewing Camera Module for IGRINS (Immersion GRating INfrared Spectrograph)

  • Lee, Hye-In;Pak, Soojong;Lee, Jae-Joon;Mace, Gregory;Jaffe, Daniel T.
    • 천문학회보
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    • 제41권2호
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    • pp.66.1-66.1
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    • 2016
  • We developed an observation control software for the IGRINS (Immersion Grating Infrared Spectrograph) silt-viewing camera module, which points the astronomical target onto the spectroscopy slit and sends tracking feedbacks to the telescope control system. The point spread function (PSF) is not always symmetric. In addition, bright targets are easily saturated and shown as a donut shape. It is not trivial to define and find the center of the asymmetric PSF especially on a slit mask. We made a center balancing algorithm (CBA) following the concept of median. The CBA derives the expected center position along the slit-width axis by referencing the stray flux ratios of both upper and lower sides of the slit. We compared efficiencies of the CBA and those of a two-dimensional Gaussian fitting (2DGA) through simulations from observation images in order to evaluate the center finding algorithms. Both of the algorithms are now applied in observation and users can select the algorithm.

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유전 알고리즘을 이용한 SS형 편향코일의 형상 최적화 (The Optimization Of SS-Type Deflection Yoke By Using Genetic Algorithm)

  • 주관정;윤인중;강병훈;조명철;한송엽;이홍배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 하계학술대회 논문집 B
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    • pp.971-973
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    • 1993
  • Deflection Yoke(the following, DY) is the important electric device of CRT which deflects R, G, B beans influencing magnetic field produced by yoke coils. Recently, DY is designed to the saddle/saddle type of coils, being proposed for high-definite and high-efficient CRT. This paper presents the optimization of pin-sectioned saddle coil's shape for minimizing gap between desired and practical deflections of electron beams by using Genetic Algorithm. Evolution Startegy is utilized in this paper, since evolution strategy is a kind of genetic algorithms finding the optimized values by choicing the better generation with comparing the parents and their children. Here, the children are generated by only mutations from the normal random variables. Evolution strategy has shown better powerful converge rate than the other genetic algorithms becuase of using only the mutation-operator.

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등고선 영역의 투영 벡터를 이용한 3차원 얼굴 인식 (3D Face Recognition using Projection Vectors for the Area in Contour Lines)

  • 이영학;심재창;이태홍
    • 한국멀티미디어학회논문지
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    • 제6권2호
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    • pp.230-239
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    • 2003
  • 본 논문은 3차원 얼굴 영상으로부터 등고선 영역을 추출하여 얼굴의 지역적 특징이 잘 반영되는 투영 벡터를 이용한 얼굴 인식 알고리즘을 제안한다. 얼굴의 외곽 형상은 사람에 따라 비슷한 모양을 나타내므로 구분하는데 어려움이 많다. 그러나 3차원 얼굴 영상은 깊이 정보를 갖고 있으므로, 코로부터 일정 깊이 값에 대한 영역을 추출하면 사람마다 다른 형상이 추출 될 수 있다. 얼굴 내에서 가장 높은 코를 먼저 추출한 후, 이를 기준으로 깊이 값을 취하면, 코를 포함한 얼굴 내의 등고선 영역을 추출하였다. 이 영역 또한 비슷한 형상을 나타낼 수 있으므로, 논문에서는 영상을 투영한 후 투영 벡터의 국부화를 통하여 영상의 지역적 특성이 잘 반영되는 통계적 성질의 투영 벡터 방법을 사용하여 특징 벡터를 추출하였다. 제안된 방법을 이용한 유사도 비교는 입력과 데이터 베이스에 대하여 각각 두개의 깊이 데이터에 대해 유클리드 거리를 사용하였으며, 실험 결과 5위 이내의 인식률이 94.3%로 나타났다.

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Design of Evolvable Hardware based on Genetic Algorithm Processor(GAP)

  • Sim Kwee-Bo;Harashiam Fumio
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제5권3호
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    • pp.206-215
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    • 2005
  • In this paper, we propose a new design method of Genetic Algorithm Processor(GAP) and Evolvable Hardware(EHW). All sorts of creature evolve its structure or shape in order to adapt itself to environments. Evolutionary Computation based on the process of natural selection not only searches the quasi-optimal solution through the evolution process, but also changes the structure to get best results. On the other hand, Genetic Algorithm(GA) is good fur finding solutions of complex optimization problems. However, it has a major drawback, which is its slow execution speed when is implemented in software of a conventional computer. Parallel processing has been one approach to overcome the speed problem of GA. In a point of view of GA, long bit string length caused the system of GA to spend much time that clear up the problem. Evolvable Hardware refers to the automation of electronic circuit design through artificial evolution, and is currently increased with the interested topic in a research domain and an engineering methodology. The studies of EHW generally use the XC6200 of Xilinx. The structure of XC6200 can configure with gate unit. Each unit has connected up, down, right and left cell. But the products can't use because had sterilized. So this paper uses Vertex-E (XCV2000E). The cell of FPGA is made up of Configuration Logic Block (CLB) and can't reconfigure with gate unit. This paper uses Vertex-E is composed of the component as cell of XC6200 cell in VertexE

Analytical study on cable shape and its lateral and vertical sags for earth-anchored suspension bridges with spatial cables

  • Gen-min Tian;Wen-ming Zhang;Jia-qi Chang;Zhao Liu
    • Structural Engineering and Mechanics
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    • 제87권3호
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    • pp.255-272
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    • 2023
  • Spatial cable systems can provide more transverse stiffness and torsional stiffness without sacrificing the vertical bearing capacity compared with conventional vertical cable systems, which is quite lucrative for long-span earth-anchored suspension bridges' development. Higher economy highlights the importance of refined form-finding analysis. Meanwhile, the internal connection between the lateral and vertical sags has not yet been specified. Given this, an analytic algorithm of form-finding for the earth-anchored suspension bridge with spatial cables is proposed in this paper. Through the geometric compatibility condition and mechanical equilibrium condition, the expressions for cable segment, the recurrence relationship between catenary parameters and control equations of spatial cable are established. Additionally, the nonlinear general reduced gradient method is introduced into fast and high-precision numerical analysis. Furthermore, the analytic expression of the lateral and vertical sags is deduced and discussed. This is very significant for the space design above the bridge deck and the optimization of the sag-to-span ratio in the preliminary design stage of the bridge. Finally, the proposed method is verified with the aid of two examples, one being an operational self-anchored suspension bridge (with spatial cables and a 260 m main span), and the other being an earth-anchored suspension bridge under design (with spatial cables and a 500 m main span). The necessity of an iterative calculation for hanger tensions on earth-anchored suspension bridges is confirmed. It is further concluded that the main cable and their connected hangers are in very close inclined planes.

이중 SQI를 이용한 TFT-LCD 결함 검출 (TFT-LCD Defect Detection Using Double-Self Quotient Image)

  • 박운익;이규봉;김세윤;박길흠
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제14권6호
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    • pp.604-608
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    • 2008
  • TFT-LCD영상은 불균일한 휘도 변화를 어느 정도 허용하고 있으며, 영상 전반에 걸쳐 나타나는 큰 휘도 변화는 국부적으로 주변 영역과 차이가 나는 결함 영역을 찾는데 방해가 된다. SQI(Self Quotient Image)는 얼굴 인식 분야에서 저주파에 해당하는 조명성분을 제거 하는데 사용되어 왔으며, 일종의 High Pass Filter(고주파 통과 필터) 형태이다. 본 논문에서는 SQI가 신호의 저주파 성분을 평활화 하는 효과를 가지면서 국부적인 변화를 유지하는 특성을 가지는데 착안하여, TFT-LCD영상에 존재하는 결함을 강조하는 알고리즘을 제안하였다. 제안한 방법을 기존의 TFT-LCD영상 전처리 방법들과 비교하였을 때, 평활화 효과 및 결함 영역 강조 효과가 우수함을 확인할 수 있었다.

스틸휠 디스크 홀의 근사최적화 (Approximate Optimization of the Steel Wheel's Disc Hole)

  • 김우현;조재성;유완석;임오강
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2003년도 춘계학술대회
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    • pp.570-573
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    • 2003
  • Wheels for passenger car support the car weight with tires. and they transmit rolling and braking power into the ground. Whittliing away at wheel weight is more effective to boost fuel economy that lighting vehicle body structure. A shape of hole in disk is optimized for minimizing the weight of steel wheel. Pro/ENGINEER program is used for formulating the design model. and ANSYS package is selected for analyzing the design model. It has difficulties 10 interface these commercial software directly. For combining both programs. response surface methodology is applied to construct approximation functions for maximum stresses and maximum displacements are obtained by full factorial design of five levels. This steel wheel is modeled in 14-inch diameter of rim. and wide parameter of hole in disk is only selected as design variable for reducing the weight of steel wheel. PLBA(Pshenichny·Lim-Belegundu_arora) algorithm. which uses the second-order information in the direction finding problem and uses the active set strategy. is used for solving optimization problems.

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신경회로망 방식에 의한 복잡한 포켓형상의 황삭경로 생성 (Neural network based tool path planning for complex pocket machining)

  • 신양수;서석환
    • 한국정밀공학회지
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    • 제12권7호
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    • pp.32-45
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    • 1995
  • In this paper, we present a new method to tool path planning problem for rough cut of pocket milling operations. The key idea is to formulate the tool path problem into a TSP (Travelling Salesman Problem) so that the powerful neural network approach can be effectively applied. Specifically, our method is composed of three procedures: a) discretization of the pocket area into a finite number of tool points, b) neural network approach (called SOM-Self Organizing Map) for path finding, and c) postprocessing for path smoothing and feedrate adjustment. By the neural network procedure, an efficient tool path (in the sense of path length and tool retraction) can be robustly obtained for any arbitrary shaped pockets with many islands. In the postprocessing, a) the detailed shape of the path is fine tuned by eliminating sharp corners of the path segments, and b) any cross-overs between the path segments and islands. With the determined tool path, the feedrate adjustment is finally performed for legitimate motion without requiring excessive cutting forces. The validity and powerfulness of the algorithm is demonstrated through various computer simulations and real machining.

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