• Title/Summary/Keyword: Performance of Optimization

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Performance Analysis and Design Optimization of Multi-Rate Spring Brake System (Multi-Rate 스프링 제동장치의 성능분석 및 최적설계)

  • Jung, Eui-Man;Won, Jun-Ho;Choi, Joo-Ho;Shim, In-Seob
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.18 no.4
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    • pp.67-72
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    • 2010
  • In this study, performance analysis and design optimization is carried out for a multi-rate spring brake system, which is used in a cable ride to stop the arriving passengers in safe and comfortable manner. Mathematical model for the spring is developed toward the objective of minimizing the impact at the arrival while satisfying the constraint of limited distance at the stop. Matlab code is utilized to examine parameters affecting the performance of the brake system. The results are validated by a commercial software RecurDyn. Kriging meta model is used to reduce the computational cost of the analysis. Optimization is conducted by RecurDyn, from which the design parameters are determined that minimizes the impact at the stop.

Performance Enhancement of Speaker Identification in Noisy Environments by Optimization Membership Function Based on Particle Swarm (Particle Swarm 기반 최적화 멤버쉽 함수에 의한 잡음 환경에서의 화자인식 성능향상)

  • Min, So-Hee;Song, Min-Gyu;Na, Seung-You;Kim, Jin-Young
    • Speech Sciences
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    • v.14 no.2
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    • pp.105-114
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    • 2007
  • The performance of speaker identifier is severely degraded in noisy environments. A study suggested the concept of observation membership for enhancing performances of speaker identifier with noisy speech [1]. The method scaled observation probabilities of input speech by observation identification values decided by SNR. In the paper [1], the authors suggested heuristic parameter values for membership function. In this paper we attempt to apply particle swarm optimization (PSO) for obtaining the optimal parameters for speaker identification in noisy environments. With the speaker identification experiments using the ETRI database we prove that the optimization approach can yield better performance than using only the original membership function.

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Optimal Design for the Rotor Overlap of a Supersonic Impulse Turbine to Improve the Performance (초음속 충동형 터빈 성능개선을 위한 동익 오버랩 최적설계)

  • Cho, Jong-Jae;Seo, Jong-Chul;Kim, Kui-Soon
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.11a
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    • pp.325-330
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    • 2011
  • A rotor overlap technique was adapted to improve the performance of a axial turbine. The technique secured sufficient flow passage by additional height at the rotor tip and hub. especially in a supersonic turbine, the technique reduced the chance of chocking in the rotor passage, and made to be satisfied the design pressure ratio. However, the technique also made additional losses, like a pumping loss, expansion loss, etc. Therefore, a optimization technique was appled to maximize the improvement of the turbine performance. An approximate optimization method was used for the investigation to secure the computational efficiency. The design variables was shape factors of a rotor overlap. Results indicated that a significant improvement in turbine performance can be achieved through the optimization of the rotor overlap.

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Optimization of ride comfort for a three-axle vehicle equipped with interconnected hydro-pneumatic suspension system

  • Saglam, Ferhat;Unlusoy, Y. Samim
    • Advances in Automotive Engineering
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    • v.1 no.1
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    • pp.1-20
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    • 2018
  • The aim of this study is the optimization of the parameters of interconnected Hydro-Pneumatic (HP) suspension system of a three-axle vehicle for ride comfort and handling. For HP suspension systems of equivalent vertical stiffness and damping characteristics, interconnected HP suspension systems increase roll and pitch stiffness and damping characteristics of the vehicle as compared to unconnected HP suspension systems. Thus, they result in improved handling and braking/acceleration performances of the vehicle. However, increased roll and pitch stiffness and damping characteristics also increase roll and pitch accelerations, which in turn result in degraded ride comfort performance. Therefore, in order to improve both ride comfort and vehicle handling performances simultaneously, an optimum parameter set of an interconnected HP suspension system is obtained through an optimization procedure. The objective function is formed as the sum of the weighted vertical accelerations according to ISO 2631. The roll angle, one of the important measures of vehicle handling and driving safety, is imposed as a constraint in the optimization study. Upper and lower parameter bounds are used in the optimization in order to get a physically realizable parameter set. Optimization procedure is implemented for a three-axle vehicle with unconnected and interconnected suspension systems separately. Optimization results show that interconnected HP suspension system results in improvements in both ride comfort and vehicle handling performance, as compared to the unconnected suspension system. As a result, interconnected HP suspension systems present a solution to the conflict between ride comfort and vehicle handling which is present in unconnected suspension systems.

Outage Analysis and Optimization for Four-Phase Two-Way Transmission with Energy Harvesting Relay

  • Du, Guanyao;Xiong, Ke;Zhang, Yu;Qiu, Zhengding
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.10
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    • pp.3321-3341
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    • 2014
  • This paper investigates the outage performance and optimization for the four-phase two-way transmission network with an energy harvesting (EH) relay. To enable the simultaneous information processing and energy harvesting at the relay, we firstly propose a power splitting-based two-way relaying protocol (PSTWR). Then, we discuss its outage performance theoretically and derive an explicit expression for the system outage probability. In order to find the optimal system configuration parameters such as the optimal power splitting ratio and the optimal transmit power redistribution factor, we formulate an outage-minimized optimization problem. As the problem is difficult to solve, we design a genetic algorithm (GA) based algorithm for it. Besides, we also investigate the effects of the power splitting ratio, the power redistribution factor at the relay, and the source to relay distance on the system outage performance. Finally, extensive simulation results are provided to demonstrate the accuracy of the analytical results and the effectiveness of the GA-based algorithm. Moreover, it is also shown that, the relay position greatly affects the system performance, where relatively worse outage performance is achieved when the EH relay is placed in the middle of the two sources.

Optimization of Gradient-index Antireflection Coatings

  • Kim, J. H.;Lee, Y. J.
    • Journal of the Optical Society of Korea
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    • v.4 no.2
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    • pp.86-88
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    • 2000
  • A sequence of functions are examined for the gradient-index AR thin film between two dielectric media and are used as the starting profiles in optimization to improve AR performance. Sinusoidal functions were quite efficient to use as components of the index change in the optimization. It is shown that there exist a number of gradient-index profiles which exhibit excellent AR-performance after control of the gradient-index profiles.

Design of pin jointed structures using teaching-learning based optimization

  • Togan, Vedat
    • Structural Engineering and Mechanics
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    • v.47 no.2
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    • pp.209-225
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    • 2013
  • A procedure employing a Teaching-Learning Based Optimization (TLBO) method is developed to design discrete pin jointed structures. TLBO process consists of two parts: the first part represents learning from teacher and the second part illustrates learning by interaction among the learners. The results are compared with those obtained using other various evolutionary optimization methods considering the best solution, average solution, and computational effort. Consequently, the TLBO algorithm works effectively and demonstrates remarkable performance for the optimization of engineering design applications.

Optimization of Design Parameters of a Servo Valve Using the Genetic Algorithm (유전자 알고리즘을 이용한 서어보 밸브의 설계 파라미터 최적화)

  • Um, Tai-Joon
    • Proceedings of the KSME Conference
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    • 2000.04a
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    • pp.464-468
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    • 2000
  • This paper presents the optimization technique to select the design parameters of a hydraulic servo valve using the genetic algorithm. The dynamic performance is governed by the design parameters of the servo valve and they may be select by repeated number of simulations such that the desired performance is obtained. Using the genetic algorithm to optimize the design parameters, effective method is suggested. This method can be used for the design of the hydraulic systems as well as the servo valve.

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Shape Optimization of the Steering Support System Using HYDROFORMING (STEERING SYSTEM 지지계에 HYDROFORMING 적용시 형상 최적화 연구)

  • 서정범;김봉수
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.05a
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    • pp.571-576
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    • 2001
  • Hydroforming, the new production technology, has been used to manufacture many parts of vehicle in the recent auto industry. When Hydroforming is applied, it is possible to make parts simplification and flexible alteration of section shape in many advantages such as weight reduction, number of parts reduction or performance improvement. This research into shape optimization which reduces number of parts and weight maintaining performance was achieved. In this paper, the COWL CROSS BAA and MT'g BAKT parts of A car STEERING support SYSTEM was introduced by using Hydroforming.

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Performance Comparison of CEALM and NPSOL

  • Seok, Hong-Young;Jea, Tahk-Min
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.169.4-169
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    • 2001
  • Conventional methods to solve the nonlinear programming problem range from augmented Lagrangian methods to sequential quadratic programming (SQP) methods. NPSOL, which is a SQP code, has been widely used to solve various optimization problems but is still subject to many numerical problems such as convergence to local optima, difficulties in initialization and in handling non-smooth cost functions. Recently, many evolutionary methods have been developed for constrained optimization. Among them, CEALM (Co-Evolutionary Augmented Lagrangian Method) shows excellent performance in the following aspects: global optimization capability, low sensitivity to the initial parameter guessing, and excellent constraint handling capability due to the benefit of the augmented Lagrangian function. This algorithm is ...

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