• 제목/요약/키워드: adaptive method

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출력오차방법의 다채널 IIR 적응 빔 형성 알고리즘 (Multichannel Adaptive IIR Beamforming Algorithm of Output Error Method)

  • 김달수;박의열
    • 한국통신학회논문지
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    • 제18권4호
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    • pp.530-536
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    • 1993
  • 적응안테나에서는 최근 Gooch에 의하여 방정식 오차 방법을 이용한 새로운 적응 시스템이 제시 되었다. 그러나 이 방법에서는 pole부에 대한 역모델이 필히 요구되며 이로 인하여 안정성을 보장 받지 못한다. 본 논문에서는 Popov의 초안정성 이론을 바탕으로 새로운 알고리즘을 제안하였다. 또한 출력오차방법의 적응 시스템도 개발하였다. 제안한 알고리즘을 출력오차방법의 시스템에 적응하여 Gooch의 결과와 비교 검토하였다.

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경계 영역 특성과 적응적 블록 정합을 이용한 시간적 오류 은닉 (Temporal Error Concealment Using Boundary Region Feature and Adaptive Block Matching)

  • 배태욱;김승진;김태수;이건일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.12-14
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    • 2005
  • In this paper, we proposed an temporal error concealment (EC) using the proposed boundary matching method and the adaptive block matching method. The proposed boundary matching method improves the spatial correlation of the macroblocks (MBs) by reusing the pixels of the concealed MB to estimate a motion vector of a error MB. The adaptive block matching method inspects the horizontal edge and the vertical edge feature of a error MB surroundings, and it conceals the error MBs in reference to more stronger edge feature. This improves video quality by raising edge connection feature of the error MBs and the neighborhood MBs. In particular, we restore a lost MB as the unit of 8${\times}$16 block or 16${\times}$8 block by using edge feature from the surrounding macroblocks. Experimental results show that the proposed algorithm gives better results than the conventional algorithms from a subjective and an objective viewpoint.

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적응적 탐색 범위를 적용한 에지 기반 순차주사화 (Edge Dependent Interpolation Based on Adaptive Search Range)

  • 장준영;강문기
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.803-804
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    • 2008
  • In this paper, we propose an edge dependent interpolation (EDI) method based on adaptive search range. The proposed EDI method uses the vector matching to determine the edge direction, and the vector matching process is terminated when the previous sum of absolute difference (SAD) is smaller than the next one. The adaptive search range method enables the EDI algorithm to estimate edge direction more accurately and to reduce the computational complexity. The experimental results show that the proposed method produces better performance than conventional algorithms.

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공통선 신호방식에서의 DAR(Dynamic Adaptive Routing)방식과 FSR(Flood Search Routing)방식의 성능평가 (Performance Evaluation of DAR(Dynamic Adaptive Routing) and FSR(Flood Search Routing) Methods in a Common Channel Signaling Scheme)

  • 김재현;이종규
    • 전자공학회논문지A
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    • 제31A권12호
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    • pp.1-8
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    • 1994
  • In this paper, we hve compare the performance of DAR(Dynamic Adaptive Routing) with that of FSR(Flooding Search Routing) to select an adequate routing protocol in circuit-switched networs. As a performance factor, we have considered call setup time, which is the key factor of performance evaluation in circuit switched networks. We have evaluated the performance of two methods in grid topology circuit-switched networks using a commn channel signaling scheme, as application examples. As results, FSR method shows better performance than DAR method under light traffic load, when the number of links by which call has passed increases, but DAR method represents better performance than FSR method under heavy traffic load or large networks because of redundant packets.

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신경망을 이용한 방전 조건의 적응적 결정 방법 (Adaptive Identification Method of EDM Parameters Using Neural Network)

  • 이건범;주상윤;왕지남
    • 한국정밀공학회지
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    • 제15권5호
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    • pp.43-49
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    • 1998
  • Adaptive neural network approach is presented for determining Electrical Discharge Machining (EDM) parameters. Electrical Discharge Machining has been widely used with its capability of machining hard metals and tough shapes. In the past few years, EDM has been established in tool-room and large-scale production. However. in spite of it's wide application, an universal selection method of EDM parameters has not been established yet. No attempt has been tried before to suggest a logical method in determining essential machine parameters considering the machining rate and resulting surface roughness integrity. The paper presents a method, which is focusing on determining appropriate machining parameters. Depending on the electrode wear and surface roughness, an adaptive neural network is designed for providing suitable machining guideline.

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Time- Dependent FEM Simulation of Dilution Control of Laser Cladding by Adaptive Mesh Method

  • Kim, Jae-Do;Peng, Yun
    • Journal of Mechanical Science and Technology
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    • 제14권2호
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    • pp.177-187
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    • 2000
  • Dilution is an important factor which influences the properties of clad layer. In this paper the change of dilution during laser cladding and the control of dilution are simulated by a finite element method. The adaptive mesh method is adopted for the time-dependent finite element method computation so that the shape of melt pool can be well represented. The situation of the width control of melt pool is also simulated, which indicates that the dilution can be controlled if the width of melt pool is controlled. Computational results indicate that if a line energy (input energy per unit distance) remains constant the dilution will increase with time, especially at the beginning. Simulation results show that it is possible to control dilution in a certain range if the line energy decreases with time. Experiment of Nd: YAG laser cladding with wire feeding is performed. Experiment results coincide well with the FEM results.

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An Accelerated Simulated Annealing Method for B-spline Curve Fitting to Strip-shaped Scattered Points

  • Javidrad, Farhad
    • International Journal of CAD/CAM
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    • 제12권1호
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    • pp.9-19
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    • 2012
  • Generation of optimum planar B-spline curve in terms of minimum deviation and required fairness to approximate a target shape defined by a strip-shaped unorganized 2D point cloud is studied. It is proposed to use the location of control points as variables within the geometric optimization framework of point distance minimization. An adaptive simulated annealing heuristic optimization algorithm is developed to iteratively update an initial approximate curve towards the target shape. The new implementation comprises an adaptive cooling procedure in which the temperature change is adaptively dependent on the objective function evolution. It is shown that the proposed method results in an improved convergence speed when compared to the standard simulated annealing method. A couple of examples are included to show the applicability of the proposed method in the surface model reconstruction directly from point cloud data.

Multichannel Blind Equalization using Multistep Prediction and Adaptive Implementation

  • Ahn, Kyung-Seung;Hwang, Ho-Sun;Hwang, Tae-Jin;Baik, Heung-Ki
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(1)
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    • pp.69-72
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    • 2001
  • Blind equalization of transmission channel is important in communication areas and signal processing applications because it does not need training sequence, nor does it require a priori channel information. Recently, Tong et al. proposed solutions for this problem exploit the diversity induced by antenna array or time oversampling, leading to the second order statistics techniques, fur example, subspace method, prediction error method, and so on. The linear prediction error method is perhaps the most attractive in practice due to the insensitive to blind equalizer length mismatch as well as for its simple adaptive filter implementation. Unfortunately, the previous one-step prediction error method is known to be limited in arbitrary delay. In this paper, we induce the optimal delay, and propose the adaptive blind equalizer with multi-step linear prediction using RLS-type algorithm. Simulation results are presented to demonstrate the proposed algorithm and to compare it with existing algorithms.

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RSM을 이용한 6MW BLDC용 영구자석의 형상 최적화 연구 (II) (A Permanent Magnet Pole Shape Optimization for a 6MW BLDC Motor by using Response Surface Method (II))

  • 우성현;정현구;신판석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.701-702
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    • 2008
  • An adaptive response surface method with Latin Hypercube sampling strategy is employed to optimize a magnet pole shape of large scale BLDC motor to minimize the cogging torque. The proposed algorithm consists of the multi-objective Pareto optimization and (1+${\lambda}$) evolution strategy to find the global optimal points with relatively fewer sampling data. In the adaptive RSM, an adaptive sampling point insertion method is developed utilizing the design sensitivities computed by using finite element method to get a reasonable response surface with a relatively small number of sampling points. The developed algorithm is applied to the shape optimization of PM poles for 6 MW BLDC motor, and the cogging torque is reduced to 19% of the initial one.

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적응 선형 증진기를 이용한 인버스 모델링의 성능향상 (Performance Improvement of the Inverse Modeling using Adaptive Line Enhancer)

  • 김흥섭;홍진석;손동구;신준;오재응
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 추계학술대회 논문집
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    • pp.267-271
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    • 1996
  • In this study, performance improvement of the inverse modeling as the on-line control method for the estimation, control experiment is performed. As the modeling errors is occurred in duct system arbitrarily, a case using the filtered-x LMS algorithm only as the control method, a case using tile inverse modeling method only and a case using the inverse modeling with the adaptive line enhancer are compared. The estimation errors between real secondary path transfer functions and the estimated and the control performances of primary noises with these estimated transfer functions are compared.

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