• Title/Summary/Keyword: 설계알고리즘

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An Implementation of the Controller Design System Using the Runge Kutta Method and Genetic Algorithms (런지-커타 기법과 유전자 알고리즘을 이용한 제어기 설계 시스템의 구현)

  • Lee, Chung-Ki;Kang, Hwan-Il;Yu, Il-Kyu
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.3
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    • pp.259-259
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    • 2003
  • Genetic algorithms using a Process of genetic evolution of an organism are appropriate for hard problems that have not been solved by any deterministic method. Up to now, the controller design method has been made with the frequency dependent specification but the design method with the time specification has gotten little progress. In this paper, we study the controller design to satisfy the performance of a plant using the generalized Manabe standard form. When dealing with a controller design in the case of two parameter configurations, there are some situations that neither a known pseudo inverse technique nor the inverse method can be applicable. In this case, we propose two methods of designing a controller by the gradient algorithm and the new pseudo inverse method so that the desired closed polynomials are either equalized to or approximated to the designed polynomial. Design methods of the proposed controller are implemented in Java.

Comparison Study of H-infinity Controller Design Algorithms for Spacecraft Attitude Control (인공위성 자세제어를 위한 H-infinity 제어기 설계 알고리즘 비교 연구)

  • Rhee, Seung-Wu
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.44 no.1
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    • pp.57-69
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    • 2016
  • There are three kinds of algorithms(2-ARE, mu-synthesis, LMI) for controller design using closed-loop shaping method. This paper provides the summary of background theory of three algorithms and $H_{\infty}$ controller design results for spacecraft attitude control using the three controller design tools of Matlab$^{TM}$ Toolbox for comparison. As a result, it reveals that LMI design method is more reliable as well as easier than others for spacecraft attitude control design. Comparison results are as follow: 2-ARE method and LMI method provide almost same results in robust stability, robust performance and control authority level. But 2-ARE method is more sensitive than LMI method with respect to proper design of weighting functions: 2-ARE method is more difficult than LMI method in weighting function design. The design result of mu-synthesis method shows worse performance and requires bigger control authority than others.

Development of Algorithm Design Worksheets using Algorithmic Thinking-based Problem Model in Programming Education for Elementary School Students (초등학생의 프로그래밍 학습을 위한 알고리즘적 사고 문제 모델 기반의 활동지 개발 및 적용)

  • Kim, Yongcheon;Choi, Jiyoung;Kwon, Daiyoung;Lee, Wongyu
    • Journal of The Korean Association of Information Education
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    • v.17 no.3
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    • pp.233-242
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    • 2013
  • "Problem-solving methods and procedures" sections in the 2009 revised informatics curriculum emphasized active use of algorithmic thinking to solve problems. And it is proposed to solve the various problems of real life using programming language for the implementation of the algorithm. Recently, various Educational Programming Language has been developed for elementary programming activity and many researches showed that students' cognitive burden was reduced in learning programming language with Educational Programming Languages. However implementation of the algorithm is difficult for novice programmer. For the reason, effective way is required for elementary students to connect design of the algorithm and implementation of the algorithm. Therefore, in this study propose the algorithm design worksheets that it is possible to create an algorithm to describe the content needed to implementation in programming education. And this study proved the effect of the algorithm design learning tools through experiment.

Discrete Optimal Design of Truss Structures Using Genetic Algorithm (유전알고리즘을 이용한 트러스 구조물의 이산최적설계)

  • 황선일;조홍동;한상훈
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.14 no.2
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    • pp.97-106
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    • 2001
  • 본 연구에서는 트러스 구조물의 이산최적설계를 위해 유전알고리즘(GA)을 적용하였다. 확률론적인 절차를 통해 설계에 필요한 초기 집단을 생성시킨 후, 설계를 개선시키기 위해서 자연선택 및 적자생존의 원리를 적용하였다. 다하중조건 하에서 트러스 구조물의 중량 최소화를 위해 응력 및 변위 제약을 고려하였다. 먼저, 이미 잘 알려진 트러스 구조물에 대해서 GA를 이용하여 얻은 최적해와 기존 문헌들에서 제시하고 있는 값들을 비교함으로써 GA의 신뢰성 및 적용성을 검증하였고, 이러한 신뢰성 검증을 바탕으로 사용성 있는 트러스 구조물의 이산최적설계를 위해 현재 생산중인 강재제원표로부터 부재가 선택되도록 하였다. 강재의 단면으로는 L형강을 사용하였으며, L형강의 강종은 9개의 강종들 (SS 400, SWS 400, SMA 41, SWS 490Y, SWS 520, SMA 50, SWS 570, SMA 58) 중에서 설계자에 의해 자유롭게 선택되도록 하였다.

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Estimation of the Initial Production Cost for Offshore Structures (해양구조물의 초기생산단가 산정 알고리즘 개발)

  • Son, Se-Hwan;Nam, Jong-Ho;Lee, Jong-Hak;Kim, Won-Do
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.191-194
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    • 2011
  • 전 세계적으로 에너지원 확보에 많은 관심을 가지고 있다. 육상유전에서 석유가 고갈되고 있는 시점에서 해양유전개발이 활발하게 이루어지고 있고 해양구조물 발주도 활발히 이루어지고 있다. 하지만 해양구조물은 아주 다양한 장비 물품과 복잡한 기하학적 구조를 가지고 있어 설계, 생산, 설치 운용에 어려움을 겪고 있고 기본설계, 장비 등과 같은 핵심기술은 외국에 의존하고 있는 실정이다. 이러한 상황을 극복하기 위해서는 해양플랜트 산업분야의 설계 및 생산기술력이 요구되고 있다. 본 연구에서는 해양구조물의 설계와 생산 작업에 중요한 인자로 적용되는 초기생산 단가산정 알고리즘을 이용한 Tool을 제시하고자 한다. 초기원가산정 알고리즘을 개발함으로써 생산 공정의 난이도를 미리 예측하여 준비 및 대비 할 수 있도록 하여 생산 공정의 발전을 이끌 수 있고 초기 설계 단계에서 사전 평가에 중요한 지표로 활용하며 설계 작업에 가이드라인을 제시하여 좀 더 경제적이고 효과적인 설계를 가능하게 해줄 것이다.

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Switching Function Implementation based on Graph (그래프에 기초한 스위칭함수 구현)

  • Park, Chun-Myoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.9
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    • pp.1965-1970
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    • 2011
  • This paper proposes the method of switching function implementation using switching function extraction based on graph over finite fields. After we deduce the matrix equation from path number of directional graph, we propose the switching function circuit algorithm, also we propose the code assignment algorithm for nodes which is satisfied the directional graph characteristics with designed circuits. We can implement more optimal switching function compare with former algorithm, also we can design the switching function circuit which have any natural number path through the proposed switching function circuit implementation algorithms. Also the proposed switching function implementation using graph theory over finite fields have decrement number of input-output, circuit construction simplification, increment arithmetic speed and decrement cost etc.

Auto Exposure Algorithm And Hardware Implementation for application of Mobile Phone Camera (모바일 폰 카메라에 적용하기 위한 자동노출 알고리즘 개발 및 하드웨어 설계)

  • Kim, Kyung-Rin;Ha, Joo-Young;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.1
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    • pp.29-36
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    • 2009
  • In this paper, we proposed auto exposure(AE) algorithm and hardware implementation for apply to mobile phone camera. AE is a function that control camera exposure automatically for appropriate to object. Existing AE is using micro controller unit and there are some problems about high expense and slow processing speed. For improve these problems, we proposed AE algorithm for hardware implementation without micro controller unit therefor we can expect improvement about the content of a production and operation speed. We proposed the algorithm that is considered efficiency of hardware resource and the results of hardware implementation of proposed AE algorithm apply to mobile phone camera sensor, we verified proposed AE function.

[ $H_{\infty}$ ] Design for Square Decoupling Controllers Using Genetic Algorithm (유전 알고리즘을 이용한 정방 비결합 제어기의 $H_{\infty}$ 설계)

  • Lee, Jong-Sung
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.42 no.4
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    • pp.47-52
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    • 2005
  • In this paper, the genetic algorithm is used to design a fixed order square decoupling $H_{\infty}$ controllers based on the Two-Degree-of-freedom standard model. The proposed decoupling $H_{\infty}$ controller which is minimizes the maximum energy in the output signal is designed to reduce the coupling properties between the input/output variables which make it difficult to control a system efficiently. A minimal set of assumptions for existence of the decoupling controller formula is described in the state-space formulas. It is verified by an example.

An Area-Efficient Design of Merged TEA Block Cipher for Mobile Security (모바일 보안용 병합 TEA 블록 암호의 면적 효율적인 설계)

  • Sonh, Seungil;Kang, Min-Goo
    • Journal of Internet Computing and Services
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    • v.21 no.3
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    • pp.11-19
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    • 2020
  • In this paper, a merged TEA block cipher processor which unifies Tiny Encryption Algorithm(TEA), extended Tiny Encryption Algorithm(XTEA) and corrected block TEA(XXTEA) is designed. After TEA cipher algorithm was first designed, XTEA and XXTEA cipher algorithms were designed to correct security weakness. Three types of cipher algorithm uses a 128-bit master key. The designed cipher processor can encrypt or decrypt 64-bit message block for TEA/XTEA and variable-length message blocks up to 256-bit for XXTEA. The maximum throughput for 64-bit message blocks is 137Mbps and that of 256-bit message blocks is 369Mbps. The merged TEA block cipher designed in this paper has a 16% gain on the area side compared to a lightweight LEA cipher. The cryptographic IP of this paper is applicable in security module of the mobile areas such as smart card, internet banking, and e-commerce.

Optimization of Reinforced Concrete Piers Based on Efficient Reanalysis Technique (효율적인 재해석 기법에 의한 철근콘크리트 교각의 최적설계)

  • 조효남;민대홍;신만규
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.14 no.4
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    • pp.505-513
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    • 2001
  • In this study, an optimum design algorithm using efficient reanalysis is proposed for seismic design of Reinforced Concrete (RC) piers. The proposed algorithm for optimization of RC piers is based on efficient reanalysis technique. Considering structural behavior of RC piers, the other approximation technique such as artificial constraint deletion is introduced to increase the efficiency of optimization. The efficiency and robustness of the proposed algorithm including the proposed reanalysis technique is demonstrated by comparing it with a conventional optimization algorithm. A few of design examples are optimized to show the applicability of the proposed algorithm.

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