• 제목/요약/키워드: Complex algorithm

검색결과 2,618건 처리시간 0.031초

영상처리 기술 비교 (Comparison of Image Procesing Technique)

  • 신성윤;이양원
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2010년도 제42차 하계학술발표논문집 18권2호
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    • pp.149-150
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    • 2010
  • This paper contains some simple daily used and research used complex methods, describe their theories and analysis implement results, for deeper comprehension. After that, take an actual application of car license location, elaborate the common algorithm responsibility, and meanwhile take some subtle new attempts for algorithm development.

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A MODIFIED BFGS BUNDLE ALGORITHM BASED ON APPROXIMATE SUBGRADIENTS

  • Guo, Qiang;Liu, Jian-Guo
    • Journal of applied mathematics & informatics
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    • 제28권5_6호
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    • pp.1239-1248
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    • 2010
  • In this paper, an implementable BFGS bundle algorithm for solving a nonsmooth convex optimization problem is presented. The typical method minimizes an approximate Moreau-Yosida regularization using a BFGS algorithm with inexact function and the approximate gradient values which are generated by a finite inner bundle algorithm. The approximate subgradient of the objective function is used in the algorithm, which can make the algorithm easier to implement. The convergence property of the algorithm is proved under some additional assumptions.

A NUMERICAL ALGORITHM FOR SINGULAR MULTI-POINT BVPS USING THE REPRODUCING KERNEL METHOD

  • Jia, Yuntao;Lin, Yingzhen
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제21권1호
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    • pp.51-60
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    • 2014
  • In this paper, we construct a complex reproducing kernel space for singular multi-point BVPs, and skillfully obtain reproducing kernel expressions. Then, we transform the problem into an equivalent operator equation, and give a numerical algorithm to provide the approximate solution. The uniform convergence of this algorithm is proved, and complexity analysis is done. Lastly, we show the validity and feasibility of the numerical algorithm by two numerical examples.

칼라 분할 방식을 이용한 비디오 영상에서의 움직이는 물체의 검출과 추적 (Moving Object Tracking Method in Video Data Using Color Segmentation)

  • 이재호;조수현;김회율
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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    • pp.219-222
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    • 2001
  • Moving objects in video data are main elements for video analysis and retrieval. In this paper, we propose a new algorithm for tracking and segmenting moving objects in color image sequences that include complex camera motion such as zoom, pan and rotating. The Proposed algorithm is based on the Mean-shift color segmentation and stochastic region matching method. For segmenting moving objects, each sequence is divided into a set of similar color regions using Mean-shift color segmentation algorithm. Each segmented region is matched to the corresponding region in the subsequent frame. The motion vector of each matched region is then estimated and these motion vectors are summed to estimate global motion. Once motion vectors are estimated for all frame of video sequences, independently moving regions can be segmented by comparing their trajectories with that of global motion. Finally, segmented regions are merged into the independently moving object by comparing the similarities of trajectories, positions and emerging period. The experimental results show that the proposed algorithm is capable of segmenting independently moving objects in the video sequences including complex camera motion.

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Brake Moan Noise 소피를 위한 Brake Pad 위상최적화의 GA적용 (Topology Optimization of a Brake Pad to Avoid the Brake Moan Noise Using Genetic Algorithm)

  • 한상훈;윤덕현;이종수;유정훈
    • 한국자동차공학회논문집
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    • 제10권4호
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    • pp.216-222
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    • 2002
  • Brake Moan is a laud and strong noise occurring at any vehicle speed over 2 mph as a low frequency in below 600Hz. In this study, we targeted to shift the unstable mode that causes the brake moan from the moats frequency range to sufficiently higher frequency range to avoid the moan phenomenon. We simulated the finite element model and found out the nodes in which the brake moan occurs the most and we regarded the boundary and its relationship between the brake pad and the rotor as a spring coefficient k. With the binary set of the spring coefficient k, we finally used genetic algorithm (GA) to get the optimal topology of the brake pad and its shape to avoid the brake moan. The final result remarkably shows that genetic algorithm can be used in topology optimization procedures requiring complex eigenvalue problems.

80296SA를 이용한 영구자석 동기전동기 벡터제어의 완전 디지털화 (A fully digitized Vector Control of PMSM using 80296SA)

  • 안영식;배정용;이홍희
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 1998년도 연구회 합동 학술발표회 논문집
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    • pp.5-8
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    • 1998
  • The adaptation to vector control theory is so generalized that it is widely used for implementing the high-performance of AC machine. Nowadays, One-Chip microprocessors or DSP chips are being well-used to implement Vector Control algorithm. DSP Chip have less flexibility for memory decoding and I/O rather than One-Chip microprocessor so that is requires more additional circuit and high cost. And the past One-Chip micro processors have difficult of implementation the complex algorithm because of small memory capacity and low arithmetic performance. Therefore we implemented the vector control algorithm of PMSM(Permanent Magnetic Synchronous Motors) using 80296SA form intel , which have many features as 6M memory space, 500MHz clock frequency, including memory decoding circuit and general I/O, Special I/O(EPA, Interrupt controller, Timer/Count, PWM generator) which is proper controller for the complex algorithm or operation program requiring so much memory capacity, So in this paper we fully digitized the vector control of PMSM included SVPWM Voltage controller using the intel 80296SA

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Near-infrared face recognition by fusion of E-GV-LBP and FKNN

  • Li, Weisheng;Wang, Lidou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권1호
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    • pp.208-223
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    • 2015
  • To solve the problem of face recognition with complex changes and further improve the efficiency, a new near-infrared face recognition algorithm which fuses E-GV-LBP and FKNN algorithm is proposed. Firstly, it transforms near infrared face image by Gabor wavelet. Then, it extracts LBP coding feature that contains space, scale and direction information. Finally, this paper introduces an improved FKNN algorithm which is based on spatial domain. The proposed approach has brought face recognition more quickly and accurately. The experiment results show that the new algorithm has improved the recognition accuracy and computing time under the near-infrared light and other complex changes. In addition, this method can be used for face recognition under visible light as well.

행렬을 이용한 FMS에서의 교착상태 탐지 및 회피 알고리즘에 대한 연구 (The Study on the Deadlock Detection and Avoidance Algorithm Using Matrix in FMS)

  • 이종근;송유진
    • 제어로봇시스템학회논문지
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    • 제11권4호
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    • pp.344-352
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    • 2005
  • The modem production systems are required to produce many items. This is due to the fact that society has become more complex and the customers' demands have become more varied. The demand for complex production systems of various purposes, which can flexibly change the content of work, has increased. One of such production systems is FMS (Flexible Manufacturing System). Limited resources must be used in FMS when a number of working procedures are simultaneously being undertaken because the conditions of stand-by job processes cannot be changed. Researchers are currently being conducted to determine ways of preventing deadlocks. In this study, we proposes the algorithm for detection and recovery of a deadlock status using the DDAPN(Deadlock Detection Avoidance Petri Net). Also, we apply the proposed algorithm has a feature to the FMS.

한국형발사체 추진기관시스템 시험설비(PSTC) 산화제 공급 알고리즘 소개 (Oxidizer Filling Algorithm of Propulsion System Test Complex(PSTC) for KSLV-II)

  • 이장환;김동기;이정호;김용욱;조기주
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2017년도 제48회 춘계학술대회논문집
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    • pp.1180-1183
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    • 2017
  • 한국형발사체 추진기관 개발을 위한 추진기관시스템 시험설비(PSTC)가 나로우주센터에 구축되었다. 한국형발사체는 산화제로 액화산소를 사용하며, 추진기관시스템 시험설비에서는 한국형발사체로 산화제를 공급하기 위한 산화제 공급 알고리즘을 개발하고 있다. 본 논문에서는 개발 중인 산화제 공급 알고리즘에 대해 소개하였다.

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현대 건축 디자인에서의 생물학적 형태의 적용에 관한 연구 (A Study on the Application of Biomorphism on Contemporary Architectural Design)

  • 김원갑
    • 한국실내디자인학회논문집
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    • 제15권1호
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    • pp.30-38
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    • 2006
  • The new aspect of contemporary architectural design is the computer simulation of morphogenesis and evolution of the organic body. Morphogenesis and evolution is the kind of emergence that is the process of complex pattern formation from simpler rules in complex system. The development comprises the sequence of pattern formation, differentiation, morphogenesis, growth. This study analyzes the application methodology of various biomorphism in contemporary architecture. The methods of generative application by computation in architecture are self-organization, differentiation, growth algorithm via MoSS. And the methods of evolution by computation are genetic algorithm, multi-parameter in environments, phylogenetic cross-over, competing as natural selection, mutation+external constraints, generative algorithm+genetic algorithm via Genr8.