• Title/Summary/Keyword: Optimal Technique

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Kopp Ball Variator 무단변속기의 최적설계 (An optimal design of the Kopp Ball Variator continuously variable transmission)

  • 임경호;김두만
    • 오토저널
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    • 제14권1호
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    • pp.38-46
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    • 1992
  • An optimal design technique for minimum power loss in Kopp Ball Variator Continuously Variable Transmission is developed. Kinematic analysis of traction drive contact is performed to find spin for Kopp Ball Variator, and traction force and torque are calculated from mathem atical model of traction drive contact. The objective function for optimal design is total power loss including contact loss and bearing losses. The design contraints are derived from energy balance for input and output power. The formulated optimal design problem is implemented to a non-linear programming algorithm to find minimum power loss. The performance of optimal ly designed Kopp Ball Variator shows that efficiency is increased about 5-10% compare to a commercial unit.

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ATM망의 체증을 해결하기 위한 최적 제어기 설계 (Design of Optimal Controller for the Congestion in ATM Networks)

  • 정우채;김영중;임묘택
    • 대한전기학회논문지:시스템및제어부문D
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    • 제54권6호
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    • pp.359-365
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    • 2005
  • This paper presents an reduced-order near-optimal controller for the congestion control of Available Bit Rate (ABR) service in Asynchronous Transfer Mode (ATM) networks. We introduce the model, of a class of ABR traffic, that can be controlled using a Explicit Rate feedback for congestion control in ATM networks. Since there are great computational complexities in the class of optimal control problem for the ABR model, the near-optimal controller via reduced-order technique is applied to this model. It is implemented by the help of weakly coupling and singular perturbation theory, and we use bilinear transformation because of its computational convenience. Since the bilinear transformation can convert discrete Riccati equation into continuous Riccati equation, the design problems of optimal congestion control can be reduced. Using weakly coupling and singular perturbation theory, the computation time of Riccati equations can be saved, moreover the real-time congestion control for ATM networks can be possible.

선택적 전송 다이버시티 기법을 적용한 최적의 터보 부호화된 V-BLAST 적응변조 시스템의 성능 개선 (Improvement of the Adaptive Modulation System with Optimal Turbo Coded V-BLAST Technique using STD Scheme)

  • 류상진;최광욱;이경환;유철우;홍대기;황인태;김철성
    • 대한전자공학회논문지TC
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    • 제44권2호
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    • pp.6-14
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    • 2007
  • 본 논문에서는 V-BLAST (Vertical-Bell-lab Layered Space Time) 복호 알고리즘의 ordering과 slicing 과정에 MAP(Maximum A Posteriori) 디코더의 외부 정보 (extrinsic information)를 이용한 최적의 터보 부호화된 (Optimal Turbo Coded) V-BLAST 적응 변조 시스템을 제안 후 성능을 관찰한다. 외부정보는 ordering과 slicing에 사전 확률 (a priori probability) 로서 사용되며 시스템 복호 과정은 주 반복 (Main Iteration) 및 부 반복 (Sub Iteration) 과정으로 이루어진다. 채널 상태에 따라 변조 방식을 달리하는 적응 변조 시스템을 기존의 터보 부호화 (Turbo Coding) 된 V-BLAST 시스템과 최적의 터보 부호화된 V-BLAST 시스템에 각각 적용하고 전송률 (throughput) 을 비교하여 제안된 시스템을 적용할 경우 어느 정도의 성능 개선이 있는가를 살펴본다. 또한, 제안된 시스템에 선택적 전송 다이버시티 (STD : Selection Transmit Diversity) 기법을 적용한 후 성능의 향상을 관찰한다. 모의 실험결과, 적응 변조 시스템에서 최적의 터보 부호화된 V-BLAST 기법을 적용한 경우가 기존의 터보 부호화된 V-BLAST 기법을 적용한 경우에 비하여 11 dB의 SNR (Signal to Noise Ratio) 영역에서 최대 약 350 kbps의 전송률 향상이 나타났다. 특히, 제안된 시스템에 선택적 전송 다이버시티가 적용된 경우에는 송수신 안테나가 각각 2개인 기존의 터보 부호화된 V-BLAST 기법을 적용한 시스템의 경우에 비하여 같은 SNR 영역에서 최대 약 1.77 Mbps의 전송률이 개선됨을 보였다.

An ADHD Diagnostic Approach Based on Binary-Coded Genetic Algorithm and Extreme Learning Machine

  • Sachnev, Vasily;Suresh, Sundaram
    • Journal of Computing Science and Engineering
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    • 제10권4호
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    • pp.111-117
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    • 2016
  • An accurate approach for diagnosis of attention deficit hyperactivity disorder (ADHD) is presented in this paper. The presented technique efficiently classifies three subtypes of ADHD (ADHD-C, ADHD-H, ADHD-I) and typically developing control (TDC) by using only structural magnetic resonance imaging (MRI). The research examines structural MRI of the hippocampus from the ADHD-200 database. Each available MRI has been processed by a region-of-interest (ROI) to build a set of features for further analysis. The presented ADHD diagnostic approach unifies feature selection and classification techniques. The feature selection technique based on the proposed binary-coded genetic algorithm searches for an optimal subset of features extracted from the hippocampus. The classification technique uses a chosen optimal subset of features for accurate classification of three subtypes of ADHD and TDC. In this study, the famous Extreme Learning Machine is used as a classification technique. Experimental results clearly indicate that the presented BCGA-ELM (binary-coded genetic algorithm coupled with Extreme Learning Machine) efficiently classifies TDC and three subtypes of ADHD and outperforms existing techniques.

전력계통 전압 - 무효전력제어에의 최적 패턴을 이용한 내삽기법의 적용 (AN APPLICATION OF INTERPOLATION TECHNIQUE WITH OPTIMUM PATTERN TO VOLTAGE - REACTIVE POWER CONTROL OF POWER SYSTEM)

  • 박영문;이정호;윤만철;권태원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1992년도 하계학술대회 논문집 A
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    • pp.214-217
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    • 1992
  • This paper introduces a new methodology to apply the interpolation technique wi th optimum pattern to voltage-reactive power control of power system. The conventional tool for the optimal operation of power system is Optimal Power Flow(OPF) by standard optimization techniques. The achievement of solution through OPF programs has a defect of computation time, so that it is impossible to apply the OPF programs to the real-time control area. The proposed method presents a solution in a short period of time and an output with a good accuracy. The optimum pattern is a set of input-output pairs, where an input is a load level and a type of outage and an output is the result of OPF program corresponding to the input. The output in the OPF represents control variables of voltage-reactive power control. The interpolation technique is used to obtain the solution for an arbitrary input. As a result, the new technique helps operators in the process of the real-time voltage-reactive power control in both normal and emergency operating states.

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위상 변경 고유치 재해석 기법을 이용한 최적 구조물 동특성 변경 (Optimal Structural Dynamics Modification Using Eigen Reanalysis Technique of Technique of Topological Modifications)

  • 이준호;박영진;박윤식
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 춘계학술대회논문집
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    • pp.77-81
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    • 2003
  • SDM (Structural Dynamics Modification) is a tool to improve dynamic characteristics of a structure, more specifically of a base structure, by adding or deleting auxiliary (modifying) structures. In this paper, the goal of the optimal SDM is set to maximize the natural frequency of a base plate structure by attaching serially-connected beam stiffeners. The design variables are chosen as positions of the attaching beam stiffeners, where the number of stiffeners is considered as a design space. The problem of non-matching interface nodes between the base plate and beam stiffeners is solved by using localized Lagrange multipliers, which act to glue the two structures with non-matching interface nodes. As fer the cases of non-matching interface nodes problem, the governing equation of motion of a structure can be considered from the viewpoint of a topological modification, which involves the change of the number of structural members and DOFs. Consequently, the eigenpairs of the beam-stiffened plate structure are obtained by using an eigen reanalysis technique of topological modifications. Evolution Strategies (ES), which is a probabilistic population-based optimization technique that mimics the principles from biological evolution in nature, is utilized as a mean for the optimization.

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Optimal design for face milling cutter by simulation

  • Kim, J.H.;Lee, B.C.;Kim, H.S.
    • 한국정밀공학회지
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    • 제10권2호
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    • pp.76-85
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    • 1993
  • Based on the cutting force model, three-dimensional optimal design model was developed and optimal designed tool which is minimized cutting force is developed by computer simulation technique. In this model the objective function which is minimized resultant cutting force was used and the variables are radial rake angle, axial rake angle, lead angle of the tool. The cutting forces using conventional and optimal tools by simulation, are compared and analyzed in time and frequency domains. In time domain the cutting force of optimal tool in feed direction was more reduced and less fluctuated than that of conventional tool. Cutting forces of optimal tool in X-and Z-directions are shown a little increased than those of conventional tool. In frequency domain amplitude of insert frequency components of optimal tool in feed direction was more reduced than that of convent- ional tool. The amplitudes of insert frequency components of optimal tool in X-and Z-direction are a little increased than those of conventional tool. As the reduction of amplitude and fluctuations of the cutting force, Optimal tool is considered that tool life and surface roughness would be improved, and stable cutting would be expected.

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연속보의 동적 최적설계에 관한 연구 (Dynamic Optimal Design of Continuous Beams)

  • 이병구;오상진;모정만
    • 전산구조공학
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    • 제10권2호
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    • pp.233-242
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    • 1997
  • 이 논문은 연속보의 동적 최적설계에 관한 연구이다. 본 연구에서는 연속보의 근사적인 최적제원을 결정하기 위하여 컴퓨터 프로그램의 실행결과를 이용한 기법을 이용하였다. 경간길이, 질량 및 휨강성이 변화하는 연속보의 자유진동해석과 이동 집중하중이 작용하는 경우 동적응답해석을 실행할 수 있는 컴퓨터 프로그램을 개발하였다. 모형실험 결과와 이론적인 해석결과가 잘 일치하여 해석결과의 타당성을 검증할 수 있었다. 설계효율을 나타내기 위하여 최대 동적응력, 경간사이의 응력차이, 이동 집중하중이 작용하는 점에서의 rms 처짐 및 전체지간의 총질량 등 4가지의 무차원 변수들의 선형결합으로 이루어지는 최적함수를 정의하였다. 3경간 연속보에 대한 해석결과 개략적인 최적제원을 갖는 연속보로 설계하는 경우 등간격의 등단면 연속보에 비해 설계효율을 개선할 수 있음을 알 수 있었다.

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