• Title/Summary/Keyword: 국소최적해

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MULTI-STAGE AERODYNAMIC DESIGN OF AIRCRAFT GEOMETRIES BY KRIGING-BASED MODELS AND ADJOINT VARIABLE APPROACH (Kriging 기반 모델과 매개변수(Adjoint Variable)법을 이용한 항공기형상의 2단계 공력최적설계)

  • Yim, J.W.;Lee, B.J.;Kim, C.
    • 한국전산유체공학회:학술대회논문집
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    • 2009.04a
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    • pp.57-65
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    • 2009
  • An efficient and high-fidelity design approach for wing-body shape optimization is presented. Depending on the size of design space and the number of design of variable, aerodynamic shape optimization process is carried out via different optimization strategies at each design stage. In the first stage, global optimization techniques are applied to planform design with a few geometric design variables. In the second stage, local optimization techniques are used for wing surface design with a lot of design variables to maintain a sufficient design space with a high DOF (Degree of Freedom) geometric change. For global optimization, Kriging method in conjunction with Genetic Algorithm (GA) is used. Asearching algorithm of EI (Expected Improvement) points is introduced to enhance the quality of global optimization for the wing-planform design. For local optimization, a discrete adjoint method is adopted. By the successive combination of global and local optimization techniques, drag minimization is performed for a multi-body aircraft configuration while maintaining the baseline lift and the wing weight at the same time. Through the design process, performances of the test models are remarkably improved in comparison with the single stage design approach. The performance of the proposed design framework including wing planform design variables can be efficiently evaluated by the drag decomposition method, which can examine the improvement of various drag components, such as induced drag, wave drag, viscous drag and profile drag.

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Real-Time Tuning of the Active Vibration Controller by the Genetic Algorithm (유전자 알고리즘을 이용한 능동진동제어기의 실시간 조정)

  • 신태식
    • Journal of KSNVE
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    • v.10 no.6
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    • pp.1083-1093
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    • 2000
  • This paper is concerned with the real-time automatic tuning of the positive position feedback controller for smart structures by the genetic algorithms. The genetic algorithms haute proven its effectiveness in searching optimal design parameters without falling into local minimums thus rendering globally optimal solutions. The advantage of the positive position feedback controller is that if it is tuned properly it can enhance the damping value of a target mode without affecting other modes. In this paper, we develop for the first time a real-time algorithm for determining a tuning frequency of the PPF controller based on the genetic algorithms. To this end, the digital PPF control law is downloaded to the DSP chip and a main program, which runs the genetic algorithms in real time, updates the parameter of the controller in real time. Hence, any kind of control including the positive position feedback controller can be used in adaptive fashion in real time. Experimental results show that the real-time tuning of the positive position feedback controller can be achieved successfully. so that vibrations are suppressed satisfactorily.

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A study on the Convergence of Iterative Fourier Transform Algorithm for Optimal Design of Diffractive Optical Elements (회절광학소자의 최적 설계를 위한 Iterative Fourier Transform Algorithm의 수렴성에 관한 연구)

  • Kim, Hwi;Yang, Byung-Choon;Park, Jin-Hong;Lee, Byoung-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.40 no.5
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    • pp.298-311
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    • 2003
  • Iterative Fourier transform algorithm, (IFTA) is tile iterative numerical algorithm for the design of the diffractive optical elements (DOE), by which the phase distribution of a DOE converges on a local optimal solution. The convergence of IFTA depends on several factors 3s initial phase distribution, the structure of the degree of freedom on the observation plane, and the values of internal parameters. In this paper, we analyze tile dependence of the convergence of IFTA on an internal parameter of IFTA, the relaxation parameter, and propose a new hybrid scheme of genetic algorithm and IFTA to obtain more accurate solution.

Rotation-Invariant Iris Recognition Method Based on Zernike Moments (Zernike 모멘트 기반의 회전 불변 홍채 인식)

  • Choi, Chang-Soo;Seo, Jeong-Man;Jun, Byoung-Min
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.2
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    • pp.31-40
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    • 2012
  • Iris recognition is a biometric technology which can identify a person using the iris pattern. It is important for the iris recognition system to extract the feature which is invariant to changes in iris patterns. Those changes can be occurred by the influence of lights, changes in the size of the pupil, and head tilting. In this paper, we propose a novel method based on Zernike Moment which is robust to rotations of iris patterns. we utilized a selection of Zernike moments for the fast and effective recognition by selecting global optimum moments and local optimum moments for optimal matching of each iris class. The proposed method enables high-speed feature extraction and feature comparison because it requires no additional processing to obtain the rotation invariance, and shows comparable performance to the well-known previous methods.

The effect of ambidextrous strategic balance on the management performance of venture businesses (양손잡이 전략균형이 벤처기업 경영성과에 미치는 영향)

  • Se-jong Yoo;Yong-seok Cho;Woo-hyoung Kim
    • Korea Trade Review
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    • v.48 no.1
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    • pp.83-126
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    • 2023
  • The revenue histogram of venture businesses is shifting from bell-shaped normal distribution to power-law distribution, which implies that the fitness landscape of the venture businesses ecosystem is changing to be more rugged terrain. We argue that the firm should adopt both exploitation (fast follower) and exploration (or first mover) strategies not to get stuck in local maxima in the rugged fitness landscape from the complex system perspective. By designing and performing agent-based modeling simulation experiments which consist of three types of agents (new technologies, entrepreneurs, and consumers), we demonstrated that the ambidexterity strategy showed the highest performance score in three of four different environment except 'Fast Widening' case where the exploitation strategy showed the highest performance score under low technology appropriation and fast disruptive technology development speed. By investigating the financial and other statistics of 617 top venture businesses who have earned 100B won or higher annual revenue, we concluded that 82% and 9% of firms are bent on the exploitation and exploration strategy.

A Study on Music Summarization (음악요약 생성에 관한 연구)

  • Kim Sung-Tak;Kim Sang-Ho;Kim Hoi-Rin;Choi Ji-Hoon;Lee Han-Kyu;Hong Jin-Woo
    • Journal of Broadcast Engineering
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    • v.11 no.1 s.30
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    • pp.3-14
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    • 2006
  • Music summarization means a technique which automatically generates the most importantand representative a part or parts ill music content. The techniques of music summarization have been studied with two categories according to summary characteristics. The first one is that the repeated part is provided as music summary and the second provides the combined segments which consist of segments with different characteristics as music summary in music content In this paper, we propose and evaluate two kinds of music summarization techniques. The algorithm using multi-level vector quantization which provides a repeated part as music summary gives fixed-length music summary is evaluated by overlapping ration between hand-made repeated parts and automatically generated summary. As results, the overlapping ratios of conventional methods are 42.2% and 47.4%, but that of proposed method with fixed-length summary is 67.1%. Optimal length music summary is evaluated by the portion of overlapping between summary and repeated part which is different length according to music content and the result shows that automatically-generated summary expresses more effective part than fixed-length summary with optimal length. The cluster-based algorithm using 2-D similarity matrix and k-means algorithm provides the combined segments as music summary. In order to evaluate this algorithm, we use MOS test consisting of two questions(How many similar segments are in summarized music? How many segments are included in same structure?) and the results show good performance.

High resolution nulling limitations for a multi-beam antenna : A Case Study for Korean Peninsula (다중 빔 안테나를 이용한 한반도지형에서의 국소 지역 재밍 신호 제거 연구)

  • Cheong, Chi-Hyun;Seo, Jong-Woo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.44 no.10
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    • pp.904-910
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    • 2016
  • The choice of nulling antenna type to be used for a given specification of user locations usually centers on whether to use a phased array antenna(PAA) or a multiple-beam antenna(MBA) for a satellite payload. This paper considers a MBA to analysis the nulling effect in the Korean peninsula jamming circumstance. First, the nulling performance and characteristics on the region of the earth coverage are confirmed with respect to the case of 7 beams. Then, optimum results are derived and compared to what can be accomplished with a fixed set of beams(the case of 10 and 19 beams are considered) for null steering to reject interference is investigated for a MBA.

Numerical Analysis on the Beat and Mass Transport in Horizontal MOCVD Reactor for the Growth of GaN Epitaxy (수평형 MOCVD에 의한 GaN 에피층 성장시 반응로내의 열 및 물질전달에 관한 수치해석 연구)

  • 신창용;윤정모;이철로;백병준
    • Journal of the Korean Vacuum Society
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    • v.10 no.3
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    • pp.341-349
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    • 2001
  • Numerical calculation has been performed to investigate the fluid flow, heat transfer and local mass fraction of chemical species in the MOCVD(metalorganic chemical vapor deposition) manufacturing process. The mixing of reactants (trimethylgallium with hydrogen gas and ammonia) was presented by the concentration of each reactant to predict the uniformity of film growth. Effects of inlet size, location, mass flow rate and susceptor/cold wall tilt angle on the concentration were reported. From the numerical calculation, the concentration of reactants could be qualitatively predicted by the Nusselt number(heat transfer) and the optimum mass flow rate, wall tilt angle and inlet condition were considered.

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A Rank-Based Signal Detector in a Weakly Dependent Noise Model (약의존성 잡음모형에서 순위를 바탕으로 한 신호검파기)

  • Kim, Kwang-Soon;Yoon, Seok-Ho;Park, So-Ryoung;Lee, Joo-Shik;Song, Iick-Ho;Kim, Sun-Yong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.1
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    • pp.76-82
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    • 2000
  • In this paper, we consider nonparametric signal detection problems under the presence of additive noise exhibiting weak dependence We derive the test statistics of the locally optimum rank detectors under a weakly dependent noise model for known and random signal cases The performance characteristic of the locally optimum rank detectors are analyzed in terms of asymptotic relative efficiency.

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Joint Optimization of Source Codebooks and Channel Modulation Signal for AWGN Channels (AWGN 채널에서 VQ 부호책과 직교 진폭변조신호 좌표의 공동 최적화)

  • 한종기;박준현
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.6C
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    • pp.580-593
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    • 2003
  • A joint design scheme has been proposed to optimize the source encoder and the modulation signal constellation based on the minimization of the end-to-end distortion including both the quantization error and channel distortion. The proposed scheme first optimizes the VQ codebook for a fixed modulation signal set, and then the modulation signals for the fixed VQ codebook. These two steps are iteratively repeated until they reach a local optimum solution. It has been shown that the performance of the proposed system can be enhanced by employing a new efficient mapping scheme between codevectors and modulation signals. Simulation results show that a jointly optimized system based on the proposed algorithms outperforms the conventional system based on a conventional QAM modulation signal set and the VQ codebook designed for a noiseless channel.