• Title/Summary/Keyword: System Algorithm

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Properties of ATMD with Acceleration Feedback System (가속도귀환방식에 의한 ATMD의 특성)

  • 최민호;강병두;노필성;김재웅
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1995.10a
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    • pp.242-249
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    • 1995
  • In order to search more efficient structural control algorithm, several closed-loop algorithm are developed. Among those, feedback control algorithm using parameters as displacement velocity, and acceleration has been studied. In this paper, especially the characteristics of accleration feedback is studied as more efficient control algorithm than any others. Furthermore the fact that ATMD with acceleration feedback system further reduce the variance of structural displacement rather than with displacement or velocity feedback system will be examined and proved.

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Hybrid Scheduling Algorithm based on DWDRR using Hysteresis for QoS of Combat Management System Resource Control

  • Lee, Gi-Yeop
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.1
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    • pp.21-27
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    • 2020
  • In this paper, a hybrid scheduling algorithm is proposed for CMS(Combat Management System) to improve QoS(Quality of Service) based on DWDRR(Dynamic Weighted Deficit Round Robin) and priority-based scheduling method. The main proposed scheme, DWDRR is method of packet transmission through giving weight by traffic of queue and priority. To demonstrate an usefulness of proposed algorithm through simulation, efficiency in special section of the proposed algorithm is proved. Therefore, We propose hybrid algorithm between existing algorithm and proposed algorithm. Also, to prevent frequent scheme conversion, a hysteresis method is applied. The proposed algorithm shows lower packet loss rate and delay in the same traffic than existing algorithm.

Multi-Objective Optimum Shape Design of Rotor-Bearing System with Dynamic Constraints Using Immune-Genetic Algorithm (면역.유전 알고리듬을 이용한 로터 베어링시스템의 다목적 형상최적설계)

  • Choe, Byeong-Geun;Yang, Bo-Seok
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.24 no.7 s.178
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    • pp.1661-1672
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    • 2000
  • An immune system has powerful abilities such as memory, recognition and learning how to respond to invading antigens, and has been applied to many engineering algorithms in recent year. In this pap er, the combined optimization algorithm (Immune- Genetic Algorithm: IGA) is proposed for multi-optimization problems by introducing the capability of the immune system that controls the proliferation of clones to the genetic algorithm. The optimizing ability of the proposed combined algorithm is identified by comparing the result of optimization with simple genetic algorithm for two dimensional multi-peak function which have many local optimums. Also the new combined algorithm is applied to minimize the total weight of the shaft and the transmitted forces at the bearings. The inner diameter oil the shaft and the bearing stiffness are chosen as the design variables. The dynamic characteristics are determined by applying the generalized FEM. The results show that the combined algorithm and reduce both the weight of the shaft and the transmitted forces at the bearing with dynamic conatriants.

Algorithm for Youth Soccer Players Management System: Software Engineering Approach

  • Park, Jun-Han;Huh, Jun-ho
    • Journal of Multimedia Information System
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    • v.4 no.4
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    • pp.307-310
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    • 2017
  • In the recent world of soccer, fostering of youth soccer players is considered as one of the most important issues so that many educational training programs are being prepared in the soccer-advanced countries. Amid the growing number of system management programs available for practical life due to the development of computer technology, an algorithm for youth soccer players management system has been proposed in this study for the improvement of Korean soccer skills.

A Study on the Design of Power System Stabilizer using Real Variable Genetic Algorithm (실변수 유전알고리즘을 이용한 전력계통 안정화장치 설계)

  • Lee, Sang-Keun
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.49 no.10
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    • pp.479-485
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    • 2000
  • This paper presents a analysis method for dynamic characteristics of power system using a Genetic-based Power System Stabilizer(PSS). The proposed PSS parameters are optimized using Genetic Algorithm(GA) in order to maintain optimal operation of generator under the various operating conditions. To decrease the computational time, real variable string is adopted. The results tested on a single machined infinite bus system verify that the proposed controller has better dynamic performance than conventional controller.

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The Software Algorithm Design a Suitable Ultra-Low Power RF System

  • Kim, Jung-won;Choi, Ung-Se
    • Journal of IKEEE
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    • v.12 no.1
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    • pp.27-33
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    • 2008
  • The demand of wireless communication is increased rapidly due to the development of wireless communication systems, and many people have the great interest about the "RF system". The trend of the RF audio system is to design the system with less power consumption. In this paper, we explain the Software Algorithm Design of RF systems that is suitable for low power consumption.

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Development of an Active Ultra-precision Polishing Machine (능동형 초정밀 폴리싱가공기 개발)

  • 최진경;한성종;박경환;김태형
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.74-78
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    • 2002
  • Ultra-Precision CNC polishing system including on-machine measurement system, a corrective polishing algorithm is developed. The unit removal profiles for various polishing tools and analyzed and tested and dwell time distributions and residual errors for a target removal shape are calculated. The corrective polishing algorithm is tested with various workpieces. This result will be used for the software development of the CNC polishing system.

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An Expert System and Genetic Algorithm for Facility Layout Problem

  • Limudomsuk, Thitipong;Sirinaovakul, Boonchareon
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1654-1657
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    • 2002
  • This paper presents a system for facility layout problem using an expert system and a genetic algorithm. The practical facility layout design can be effected by characteristics of constructing model, slicing tree model, closeness weight metric and expert system. The genetic algorithm searches the result layout. An experimental system is implemented and produced desired layout.

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Adaptive Identification of a Time-varying Volterra system using the FWLS (filtered weighted least squares) Algorithm (FWLS 적응 알고리듬을 이용한 시변 볼테라 시스템 식별)

  • Ahn, K.Y.;Jeong, I.S.;Nam, S.W.
    • Proceedings of the KIEE Conference
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    • 2004.05a
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    • pp.3-6
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    • 2004
  • In this paper, the problem of identifying a time-varying nonlinear system in an adaptive way was considered, whereby the time-varying second-order Volterra series was employed to model the system and the filtered weighted least squares (FWLS) algorithm was utilized for the fast parameter tracking capability with low computational burden. Finally, the performance of the proposed approach was demonstrated by providing some computer simulation results.

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A design on model following optimal boiler-turbine H$\infty$control system using genetic algorithm (유전 알고리즘을 이용한 모델 추종형 최적 보일러-터빈 H$\infty$ 제어시스템의 설계)

  • 황현준;김동완;박준호;황창선
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1460-1463
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    • 1997
  • The aim of this paper is to suggest a design method of the model following optimal boiler-turbine H.inf. control system using genetic algorithm. This boiler-turbine H.inf. control system is designed by applying genetic algortihm with reference model to the optimal determination of weighting functions and design parameter .gamma. that are given by Glover-Doyle algornithm whch can design H.inf. contrlaaer in the sate. space. The first method to do this is ghat the gains of weightinf functions and .gamma. are optimized simultaneously by genetic algroithm. And the second method is that not only the gains and .gamma. but also the dynamics of weighting functions are optimized at the same time by genetic algonithm. The effectiveness of this boiler-turbine H.inf. control system is verified and compared with LQG/LTR control system by computer simulation.

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