• 제목/요약/키워드: Automatic computation

검색결과 160건 처리시간 0.021초

분산컴퓨팅 환경에서 공력 설계최적화의 효율성 연구 (A STUDY ON THE EFFICIENCY OF AERODYNAMIC DESIGN OPTIMIZATION USING DISTRIBUTED COMPUTATION)

  • 김양준;정현주;김태승;조창열
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2005년도 추계 학술대회논문집
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    • pp.163-167
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    • 2005
  • A research to evaluate efficiency of design optimization was performed for aerodynamic design optimization problem in distributed computing environment. The aerodynamic analyses which take most of computational work during design optimization were divided into several jobs and allocated to associated PC clients through network. This is not a parallel process based on domain decomposition rather than a simultaneous distributed-analyses process using network-distributed computers. GBOM(gradient-based optimization method), SAO(Sequential Approximate Optimization) and RSM(Response Surface Method) were implemented to perform design optimization of transonic airfoil and to evaluate their efficiencies. One dimensional minimization followed by direction search involved in the GBOM was found an obstacle against improving efficiency of the design process in distributed computing environment. The SAO was found quite suitable for the distributed computing environment even it has a handicap of local search. The RSM is apparently the fittest for distributed computing environment, but additional trial and error works needed to enhance the reliability of the approximation model are annoying and time-consuming so that they often impair the automatic capability of design optimization and also deteriorate efficiency from the practical point of view.

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지문의 특징 검출 및 향상을 위한 전처리 기법 연구 (A Effective Method for Feature Detection and Enhancement in Fingerprint Images)

  • 양룡;노정석;이상범
    • 한국컴퓨터산업학회논문지
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    • 제3권12호
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    • pp.1775-1784
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    • 2002
  • 지문 인식 기술은 지문 영상의 고유한 특성으로 인하여 생체인식 분야에서 현재 가장 많이 사용되고 있으며 연구도 상당한 진척을 본 것이 사실이다. 하지만 인식 성능 및 일상생활의 활용측면에서는 개발이 완전히 이루어져 있다고는 볼 수 없다. 따라서 본 논문에서는 우리가 흔히 볼 수 있는 무인 정보 단말기의 인증 시스템에 필요한 알고리즘과 환경에 따른 전처리 과정의 다양화 필요성을 인지하고 연구하게 되었다. 이 과정에서 시스템 환경과 지문이미지의 효율적인 획득이 중요한 요소임을 광학식 지문 입력 장치 및 주민등록증에 있는 지문을 스캔하는 방법을 사용하여 증명하고 지문 특징점 검출 및 영상 향상을 위한 기법을 연구하여 정확하고 빠른 계산시간 안에 찾을 수 있는 방법을 제시한다. 또한 전체 시스템의 구성을 위한 효과적인 알고리즘 구현을 목표로 연구한다.

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3D BUILDING INFORMATION EXTRACTION FROM A SINGLE QUICKBIRD IMAGE

  • Kim, Hye-Jin;Han, Dong-Yeob;Kim, Yong-Il
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.409-412
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    • 2006
  • Today's commercial high resolution satellite imagery such as IKONOS and QuickBird, offers the potential to extract useful spatial information for geographical database construction and GIS applications. Recognizing this potential use of high resolution satellite imagery, KARI is performing a project for developing Korea multipurpose satellite 3(KOMPSAT-3). Therefore, it is necessary to develop techniques for various GIS applications of KOMPSAT-3, using similar high resolution satellite imagery. As fundamental studies for this purpose, we focused on the extraction of 3D spatial information and the update of existing GIS data from QuickBird imagery. This paper examines the scheme for rectification of high resolution image, and suggests the convenient semi-automatic algorithm for extraction of 3D building information from a single image. The algorithm is based on triangular vector structure that consists of a building bottom point, its corresponding roof point and a shadow end point. The proposed method could increase the number of measurable building, and enhance the digitizing accuracy and the computation efficiency.

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LFT Modeling and Robust Stability Analysis of Missiles with Uncertain Parameters

  • Hou, Zhen-Qian;Liang, Xiao-Geng;Wang, Wen-Zheng;Li, Rui
    • International Journal of Aeronautical and Space Sciences
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    • 제15권2호
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    • pp.173-182
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    • 2014
  • The structured singular value (${\mu}$) analysis based method has many advantages for the robust stability analysis of missiles with uncertain parameters. Nevertheless, the present linear fractional transformation (LFT) modeling process, which is the basis of ${\mu}$ analysis, is complex, and not suitable for automatic implementation; on the other hand, ${\mu}$ analysis requires a large amount of computation, which is a burden for large-scale application. A constructive procedure, which is computationally more efficient, and which may lead to a lower order realization than existing algorithms, is proposed for LFT modeling. To reduce the calculation burden, an analysis method is developed, based on skew ${\mu}$. On this basis, calculation of the supremum of ${\mu}$ over a fixed frequency range converts into a single skew ${\mu}$ value calculation. Two algorithms are given, to calculate the upper and lower bounds of skew ${\mu}$, respectively. The validity of the proposed method is verified through robust stability analysis of a missile with real uncertain parameters.

신경 회로망에 의한 로보트 매니퓰레이터의 PTP 운동에 관한 연구 (A Study on the PTP Motion of Robot Manipulators by Neural Networks)

  • 경계현;고명삼;이범희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1989년도 하계종합학술대회 논문집
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    • pp.679-684
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    • 1989
  • In this paper, we describe the PTP notion of robot manipulators by neural networks. The PTP motion requires the inverse kinematic redline and the joint trajectory generation algorithm. We use the multi-layered Perceptron neural networks and the Error Back Propagation(EBP) learning rule for inverse kinematic problems. Varying the number of hidden layers and the neurons of each hidden layer, we investigate the performance of the neural networks. Increasing the number of learning sweeps, we also discuss the performance of the neural networks. We propose a method for solving the inverse kinematic problems by adding the error compensation neural networks(ECNN). And, we implement the neural networks proposed by Grossberg et al. for automatic trajectory generation and discuss the problems in detail. Applying the neural networks to the current trajectory generation problems, we can refute the computation time for trajectory generation.

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OutBound 트래픽을 이용한 인터넷 웜 탐지 및 대응 방안 연구 (A Study of Internet Worm Detection & Response Method Using Outbound Traffic)

  • 이상훈
    • 융합보안논문지
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    • 제6권4호
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    • pp.75-82
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    • 2006
  • 인터넷 웜은 1.25 인터넷 대란의 경우에서도 알 수 있듯이 네트워크를 마비시키고, 정보를 유출하는 등 여러 가지 피해를 준다. 본 논문에서는 이를 예방하기 위하여 자신의 PC에서 인터넷 웜을 탐지하고 자동 대응을 수행할 수 있는 방안을 제시하였다. 인터넷 웜의 특징인 트래픽 기반 네트워크 스캐닝을 탐지하여 이에 대한 대응을 수행하며, 웜에 감염된 프로세스를 중단시키고, 해당 트래픽이 외부로 유출되는 것을 방지하며, 웜에 감염된 실행파일을 고립시키고 특정위치에 이동함으로써, 사후에 웜에 대한 조사를 원활히 수행할 수 있도록 구성하였다. 이런 방식은 알려지지 않은 웜의 탐지에도 유용하며, 이를 통해 안정적인 네트워크 운영이 가능할 것이다.

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Voxel-Based Thickness Analysis of Intricate Objects

  • Subburaj, K.;Patil, Sandeep;Ravi, B.
    • International Journal of CAD/CAM
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    • 제6권1호
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    • pp.105-115
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    • 2006
  • Thickness is a commonly used parameter in product design and manufacture. Its intuitive definition as the smallest dimension of a cross-section or the minimum distance between two opposite surfaces is ambiguous for intricate solids, and there is very little reported work in automatic computation of thickness. We present three generic definitions of thickness: interior thickness of points inside an object, exterior thickness for points on the object surface, and radiographic thickness along a view direction. Methods for computing and displaying the respective thickness values are also presented. The internal thickness distribution is obtained by peeling or successive skin removal, eventually revealing the object skeleton (similar to medial axis transformation). Another method involves radiographic scanning along a viewing direction, with minimum, maximum and total thickness options, displayed on the surface of the object. The algorithms have been implemented using an efficient voxel based representation that can handle up to one billion voxels (1000 per axis), coupled with a near-real time display scheme that uses a look-up table based on voxel neighborhood configurations. Three different types of intricate objects: industrial (press cylinder casting), sculpture (Ganesha idol), and medical (pelvic bone) were used for successfully testing the algorithms. The results are found to be useful for early evaluation of manufacturability and other lifecycle considerations.

차량형 이동로봇의 기구학적 파라미터 보정을 위한 수렴성 분석 (Convergence Analysis of Kinematic Parameter Calibration for a Car-Like Mobile Robot)

  • 유광현;이국태;정창배;정우진
    • 제어로봇시스템학회논문지
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    • 제17권12호
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    • pp.1256-1265
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    • 2011
  • Automated parking assist systems are being commercialized and rapidly spread in the market. In order to improve odometry accuracy, we proposed a practical odometry calibration scheme of Car-Like Mobile Robot (CLMR). However, there were some open problems in our prior work. For example, it was not clear whether the kinematic parameters always converged or not using the proposed calibration scheme. In addition, test driving had to be carried out "twice" without detailed explanation. This research aims to provide answers for the addressed questions though the convergence property analysis of the calibration scheme. In this paper, we evaluate on the effect of the kinematic parameter error on the odometry error at the final pose by numerical computation. The evaluation will show that the wheel diameter and tread of the CLMR can be calibrated by iterative test drives. In addition, the region of convergence in the parametric space will be discussed. Presented experimental results clearly showed that the proposed calibration scheme would be useful in practical applications.

설계 및 가공공정계획 의 전산자동화 에 관한 연구 (A Study on the Computer Aided Design and Process Planning)

  • 조선휘;이장무;이교일;정진태
    • 대한기계학회논문집
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    • 제9권5호
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    • pp.647-654
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    • 1985
  • 본 논문에서는 미소한 비대칭 요소를 갖는 축대칭 셸구조물(종형구조물 또는 용접된 압력용기등)의 전산기 이용 도면입력/수정/출력, 체적특성치의 자동결정, 근사 고속 유한요소해석 및 출력을 시각화하는 일관 작업을 수행할 수 있는 전산기이용설계 알고리즘을 개발하고 생산가공에 대한 공리적 접근방법을 전산화하는 전산기이용 공정 계획 알고리즘에 대한 기초적인 연구를 행하였다.

흑백영상처리장치를 이용한 과실선별기 개발에 관한 연구(I) - 크기 및 색택 판정 - (Development of a Fruit Grader using Black/White Image Processing System(I) - Determining the Size and Coloration -)

  • 노상하;이종환;이승훈
    • Journal of Biosystems Engineering
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    • 제17권4호
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    • pp.354-362
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    • 1992
  • This study was intended to examine feasibility of sizing and color grading of Fuji apple with black/white image processing system, to develop a device with which the whole surface of an apple could be captured by one camera, and to develop an algorithm for a high speed sorting. The results are summarized as follows : 1. The black/white image processing system used in this study showed a maximum error of 1.3% in area measurement with a reference figure while the focusing point of camera and location of the reference figure were changed within a certain range. 2. As the result of evaluating four automatic image segmentation algorithms with apple images, Histogram Clustering Method was the best in terms of computation time and accuracy. 3. The fast algorithm for analyzing size and coloration of apple was developed. 4. The whole surface of an apple could be captured in an image frame with two mirrors installed on the both sides of the sample. The total area of the image representing the whole surface showed a correlation of 0.995 with the weight of apple. 5. The gray level when a particular band pass filter was mounted on the camera showed high correlation with 'L' and 'a' values of Hunt color scale and could represent the coloration of apple.

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