• Title/Summary/Keyword: on-line algorithms

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Line Segmentation Method using Expansible Moving Window for Cartographic Linear Features (확장형 이동창을 이용한 지도 선형 개체의 분할 기법 연구)

  • Park, Woo-Jin;Lee, Jae-Eun;Yu, Ki-Yun
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.5-6
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    • 2010
  • Needs for the methodology of segmentation of linear feature according to the shape characteristics of line feature are increasing in cartographic linear generalization. In this study, the line segmentation method using expansible moving window is presented. This method analyzes the generalization effect of line simplification algorithms depend on the line characters of linear feature and extracts the sections which show exclusively low positional error due to a specific algorithm. The description measurements of these segments are calculated and the target line data are segmented based on the measurements. For segmenting the linear feature to a homogeneous section, expansible moving window is applied. This segmentation method is expected to be used in the cartographic map generalization considering the shape characteristics of linear feature.

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Continuous-time fuzzy modelling of nonlinear systems using genetic algorithms (유전알고리즘을 이용한 비선형시스템의 연속시간 퍼지모델링)

  • 이현식;진강규
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1473-1476
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    • 1997
  • This paper presents a scheme for continuous-time fuzzy modelling of nonlinear systems, based on the adjustment technique and the genetic algorithm technque. The fuzzy model is characterized by fuzzy "If-then" rules whcih represent locally linear input-output relations whose consequence part is defined as subsystem of a nonlinear system. To compute the final output and deal with the initialization and unmeasurable signal problems in on-line estimatio of the fuzzy model, a discrete-time model is obtaned. Then the parameters of both the premis and consequence of the fuzzy model are adjusted on-line by a genetic algorithm. A simulation work is carried out to demonstrate the effectiveness of the proposed method.ed method.

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The Development of Control Algorithms of D-STATCON for Compensations of AC Voltage and DC Link Voltage and Harmonics Improve the Qeality of Electric Power (전력 품질 향상을 위한 배전용 STATCON의 AC전압, 직류결합 전압 및 고조파 보상 제어알고리즘 개발)

  • 오관일;전영수;이기선;추진부
    • Proceedings of the KIPE Conference
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    • 1999.07a
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    • pp.333-337
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    • 1999
  • This paper presents the DQ transfomation space space vector modulation method to devel control algorithm of distribu STATCON(STATic CONdenser) for line volt regulation, dc link voltage regulation harmonics compensation. The Performance an of a PI with ramp comparision and synchro reference frame current controller is carried Based on these analysis, the control perform are desirable to compensate the harmonics a regulate dc link and line voltage of Distrib line.

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Image Data Processing by Hadamard-Center Line Symmetric Hear (Hadamard-Center Line Symmetric Haar에 의한 Image Data 처리에 관한 연구)

  • 안성렬;소상호;황재정;이문호
    • Proceedings of the Korean Institute of Communication Sciences Conference
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    • 1984.04a
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    • pp.13-17
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    • 1984
  • A hybrid version of the Hadamard and center Line Symmetric Haar Transform called H-CLSH is defined and developed. Efficient algorithms for fast computation of the H-CLSH and its inverse are developed. The H-CLSH is applied to digital signal and image processing and its utility and image processing and its utility and effectiveness are compared with Hadamard-Haar discrete transforms on the basis of some standard performance criteria.

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A Study on the Evaluation of Simplification Algorithms Based on Map Generalization (지도 일반화에 따른 단순화 알고리즘의 평가에 관한 연구)

  • Kim, Kam-Lae;Lee, Ho-Nam;Park, In-Hae
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.10 no.2
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    • pp.63-71
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    • 1992
  • The digital map database is often produced for multiple purposes, including mapping at multiple scales; it is increasingly rare that a base map is digitized for mapping at a single scale. The most important problems in process of line simplification in map generalization and multiple representation is that tolerance value selected for simplifying base map information must be modified as feature geometry varies within the digital file to ensure both accuracy and recognizability of graphic details on a generalized map. In this study, we explored various algorithms regarding to line simplication at many scales from a single digital file, and presents a rule by which to determine those scale at which line feature geometry might be expected to change in map representation. By applying two measured of displacement between a digitized line and its simplification, five algorithms have been evaluated. The results indicate that, of the five, the Douglas-Peucker routine produced less displacement between a line and its simplification. The research has proved to automating map simplification, incorporating numeric guidelines into digital environment about what magnitude and variation in geometric detail should be preserved as the digital data is simplified for representation at reduced map scales.

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Hybrid Induction Motor Control Using a Genetically Optimized Pseudo-on-line Method

  • Lee, Jong-seok;Jang, Kyung-won;J. F. Peters;Ahn, Tae-chon
    • Journal of Power Electronics
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    • v.4 no.3
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    • pp.127-137
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    • 2004
  • This paper introduces a hybrid induction motor control using a genetically optimized pseudo-on-line method. Optimization results from the use of a look-up table based on genetic algorithms to find the global optimum of an unconstrained optimization problem. The approach to induction motor control includes a pseudo-on-line procedure that optimally estimates parameters of a fuzzy PID (FPID) controller. The proposed hybrid genetic fuzzy PID (GFPID) controller is applied to speed control of a 3-phase induction motor and its computer simulation is carried out. Simulation results show that the proposed controller performs better than conventional FPID and PID controllers. The contribution of this paper is the introduction of a high performance hybrid form of induction motor control that makes on-line and real-time control of the drive system possible.

On-line parameter estimation of continuous-time systems using a genetic algorithm (유전알고리즘을 이용한 연속시스템의 온라인 퍼래미터 추정)

  • Lee, Hyeon-Sik;Jin, Gang-Gyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.1
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    • pp.76-81
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    • 1998
  • This paper presents an on-line scheme for parameter estimation of continuous-time systems, based on the model adjustment technique and the genetic algorithm technique. To deal with the initialisation and unmeasurable signal problems in on-line parameter estimation of continuous-time systems, a discrete-time model is obtained for the linear differential equation model and approximations of unmeasurable states with the observable output and its time-delayed values are obtained for the nonlinear state space model. Noisy observations may affect these approximation processes and degrade the estimation performance. A digital prefilter is therefore incorporated to avoid direct approximations of system derivatives from possible noisy observations. The parameters of both the model and the designed filter are adjusted on-line by a genetic algorithm, A set of simulation works for linear and nonlinear systems is carried out to demonstrate the effectiveness of the proposed method.

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Bias Compensation Algorithm of Acceleration Sensor on Galloping Measurement System

  • Kim, Hwan-Seong;Byung, Gi-Sig;So, Sang-Gyun
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.127.6-127
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    • 2001
  • In this paper, we deal with two bias compensation algorithms of acceleration sensor for measuring the galloping on power transmission line. Firstly, the block diagram of galloping measurement system is given and a galloping model is presented. Secondly, two compensation algorithms, a simple compensation and a period compensation, are proposed. A simple compensation algorithm use the drafts of velocity and distance at fixed periods, so it is useful for constant bias case. Next, a period compensation algorithm can compensate a periodic bias. This algorithm use the previous measured data and compensated data for constant period, where the period is obtained by FFT method. Lastly, the effectiveness of proposed algorithms is verified by comparing between two algorithms in simulation, and its characteristics and the bias error bound are shown, respectively.

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Study on Machine Vision Algorithms for LCD Defects Detection (LCD 결함 검출을 위한 머신 비전 알고리즘 연구)

  • Jung, Min-Chul
    • Journal of the Semiconductor & Display Technology
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    • v.9 no.3
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    • pp.59-63
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    • 2010
  • This paper proposes computer visual inspection algorithms for various LCD defects which are found in a manufacturing process. Modular vision processing steps are required in order to detect different types of LCD defects. Those key modules include RGB filtering for pixel defects, gray-scale morphological processing and Hough transform for line defects, and adaptive threshold for spot defects. The proposed algorithms can give users detailed information on the type of defects in the LCD panel, the size of defect, and its location. The machine vision inspection system is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiment results show that the proposed algorithms are quite successful.

Lattice Algorithms for Order Determination of AR, ARMA Models By PLS (PLS를 이용한 AR, ARMA 모델의 차수 결정을 위한 격자 알고리즘)

  • 김현표;정찬수;양홍식
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.225-230
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    • 1988
  • In this paper, a new method for determining the order of AR, ARMA processes based on PLS (predictive least square) principle is proposed, This method using modified lattice algorithm which has additional step is amenable to on-line or adaptive operation and is more accurate than any other mpthod. Some computer simulations are presented to show the efficiency of the proposed algorithms.

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