• Title/Summary/Keyword: 수렴-제한법

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Approximate Shape Optimization Technique by Sequential Design Domain (순차설계영역을 이용한 근사 형상최적에 관한 연구)

  • 김우현;임오강
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.17 no.1
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    • pp.31-38
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    • 2004
  • Mechanical design process is generally accomplished by design, analysis, and test. Designers use programs fitting purpose, and obtain repeatedly a response of a simulation program, a sub-program for optimization. In this paper, shape optimization using approximate optimization technique is carried out with sequential design domain(SDD). In addition, algorithm executing Pro/Engineer and ANSYS automatically are adopted in the approximate optimization program by SDD. It is difficult for design problem to be approximated accurately for the whole range of design space. However, more or less accurate approximation is constructed if SDD is applied to that case. SDD starts with a certain range which is off-seted from midpoint of an initial design domain and then SDD of the next step is determined by a move limited. Convergence criterion is defined such that optimal point must be located within SDD during the two steps. Also, the PLBA(Pshenichny-Lim-Belegundu-Arora) algorithm is used to solve approximate optimization problems. This algorithm uses the second-order information and the active set strategy, in order to seek the direction of design variables.

Language Models Using Iterative Learning Method for the Improvement of Performance of CSR System (연속음성인식 시스템의 성능 향상을 위한 반복학습법을 이용한 언어모델)

  • Oh Se-Jin;Hwang Cheol-Jun;Kim Bum-Koog;Jung Ho-Ynul;Chung Hyun-Yeol
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.82-85
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    • 1999
  • 본 연구에서는 연속음성인식 시스템의 성능 향상을 위하여 음성의 채록환경 및 데이터량 등을 고려한 효과적인 언어모델 작성방법을 제안하고, 이를 항공편 예약시스템에 적용하여 성능 평가 실험을 실시한 결과 $91.6\%$의 인식률을 얻어 제안한 방법의 유효성을 확인하였다. 이를 위하여 소량의 200문장의 항공편 예약 텍스트 데이터를 이용하여 좀더 강건한 단어발생 확률을 가지도록 하기 위해 일반적으로 대어휘 연속음성인식에서 많이 이용되고 있는 단어 N-gram 언어모델을 도입하고 이를 다양한 발성환경을 고려하여 1,154문장으로 확장한 후 동일 문장'을 반복 학습하여 언어모델을 작성하였다. 인식에 있어서는 오인식과 문법적 오류를 최소화하기 위하여 forward - backward pass 방법의 stack decoding알고리즘을 이용하였다. 인식실험 결과, 평가용 3인의 200문장을 각 반복학습 회수에 따라 학습한 각 언어모델에 대해 평가한 결과, forward pass의 경우 평균 $84.1\%$, backward pass의 경우 평균 $91.6\%$의 문장 인식률을 얻었다. 또한, 반복학습 회수가 증가함에 따라 backward pass의 인시률의 변화는 없었으나, forward pass의 경우, 인식률이 반복회수에 따라 증가하다가 일정값에 수렴함을 알 수 있었고, 언어모델의 복잡도에서도 반복회수가 증가함에 따라 서서히 줄어들며 수렴함을 알 수 있었다. 이상의 결과로부터 소량의 텍스트 데이터를 이용한 제한된 태스크에서 언어모델을 작성할 때 반복학습 방법이 유효함을 확인할 수 있다.

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Enantioconvergent Hydrolysis of Racemic Epoxides for Production of Enantiopure Epoxides and Vicinal Diols using Epoxide Hydrolases (에폭사이드 가수분해효소에 의한 광학수렴반응을 이용한 광학활성 에폭사이드 및 Vicinal Diol 제조)

  • Lee, Eun-Yeol
    • KSBB Journal
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    • v.22 no.3
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    • pp.123-128
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    • 2007
  • One drawback of conventional kinetic resolution of racemic epoxides by epoxide hydrolase (EH) is that the theoretical yield can never exceed 50%. This 50% limitation can be overcome by using enantioconvergent process, in which both enantiomers of the racemic epoxide are transformed via stereochemically matching pathways into a single enantiopure diol as the sole product in 100% theoretical yield. In order to make a single enantiopure vicinal diol, the two enantiomers of the racemic epoxide must be hydrolyzed with retention and inversion of configuration each other. The EHs should be enantio- and regiospecific at the same time. The enantioconvergent hydrolysis with EHs and relevant biotransformation for preparing enantiopure epoxides and vicinal diols with a high yield are reviewed.

Finite Element Method for Structural Concrete Based on the Compression Field Theory (압축응력장 이론을 적용한 콘크리트 유한요소법 개발)

  • 조순호
    • Computational Structural Engineering
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    • v.9 no.1
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    • pp.151-159
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    • 1996
  • A finite element formulation based on the CFT(Compression Field Theory) concept such as the effect of compression softening in cracked concrete, and macroscopic and rotating crack models etc. was presented for the nonlinear behaviour of structural concrete. In this category, tangential or secant material stiffnesses for cracked concrete were also defined and discussed in view of the iterative solution schemes for nonlinear equations. Considering the computational efficiency and the ability of modelling the post-ultimate behaviour as major concerns, the incremental displacement solution algorithm involving initial material stiffnesses and the relaxation procedure for fast convergence was adopted and formulated in a type of 8-noded quadrilateral isoparametric elements. The analysis program NASCOM(Nonlinear Analysis of structrual Concrete by FEM : Monotonic Loading) developed baed on the CFT constitutive relationships and the incremetal solution strategy described enables the predictions of strength and deformation capacities in a full range. crack patterns and their corresponding widths, and yield extents of reinforcement. As the verfication purpose of NASCOM, the prediction of Cervenka's panel test results including the load resistance and the deformation history was made. A limited number of predictions indicate a good correlation in a general sense.

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Optimal Directivity Synthesis of Ultrasonic Transducers Using a Combined Algorithm (조합 알고리즘에 의한 초음파 트랜스듀서의 최적 지향성합성)

  • ;Takao Tsuchiya;Yukio Kagawa
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.1
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    • pp.25-31
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    • 2000
  • In this paper, we proposed an algorithm that used a direct method to set an initial value of Broydon-Fletcher-Goldfarb-Shanno(BFGS) method and, accordingly, conducted an experiment in optimal directivity synthesis of adaptive ultrasonic transducer by point source array. To certify the efficiency of this method, quasi-ideal beam with arbitrary beam width, rotating beam, and multi beam, all with the limited side lobe level -30dB, were chosen to check the problem of directivity synthesis that was formed by point source array in the second dimensional sound field. The numerical calculation results showed that the proposed method performed the directivity synthesis faster than the BFGS method did. In addition, the proposed method showed a good error correction for directivity synthesis, and did not demand the choice of initial value. Finally, it is also shown that the proposed method can be used for the adaptive control that was not possible with the direct method alone.

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Performance Improvement of Genetic Programming Based on Reinforcement Learning (강화학습에 의한 유전자 프로그래밍의 성능 개선)

  • 전효병;이동욱;심귀보
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.3
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    • pp.1-8
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    • 1998
  • This paper proposes a reinforcement genetic programming based on the reinforcement learning method for the performance improvement of genetic programming. Genetic programming which has tree structure program has much flexibility of problem expression because it has no limitation in the size of chromosome compared to the other evolutionary algorithms. But worse results on the point of convergence associated with mutation and crossover operations are often due to this characteristic. Therefore the sizes of population and maximum generation are typically larger than those of the other evolutionary algorithms. This paper proposes a new method that executes crossover and mutation operations based on reinforcement and inhibition mechanism of reinforcement learning. The validity of the proposed method is evaluated by appling it to the artificial ant problem.

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정보통신안테나-정보통신회선 사용제도 개선

  • Korean Associaton of Information & Telecommunication
    • 정보화사회
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    • s.13
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    • pp.32-35
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    • 1988
  • 정보통신회선 사용제도가 대폭적으로 개선되었다. 그동안 협회가 “민간 VAN활성화 방안의 연구”, “전기통신 관계법령 정비에 관한 워크샾”. “공중전기통신사업 개정안에 대한 공청회” 등의 활동을 통해 회원사들의 요구사항을 수렴. 집약하여 체신부로 하여금 현행의 불합리한 회선사용의 제한을 완화토록 누차에 걸쳐 촉구한 결과 이번 개선조치를 얻어냈다. 이번 조치는 지난 1일 협회 법제분과위원회 석상에서 정부당국자에 의해 최초로 발표되어 회의참석자(회원사 임직원) 모두로부터 전폭적인 환영을 받았다. 특히 이제까지 그룹 VAN에만 허용하던 정보의 교환행위를 중소기업 대상 전산망 서비스분야까지 확대 허용한 점, 다중화 장치 접속 허용, 긴밀관계자 인정범위 확대 등의 내용은 업계측을 크게 고무하고 정보통신사업의 활성화를 촉진하는 획기적인 조치라는 것이 중평이다. 아울러 중소기업기본법 제2조의 기중에 관련한 확대허용 조치는 자칫 대규모 VAN업체에 대한 영세 S/W 업체들의 자본적, 기술적 예속을 가속화시킬 가능성을 잉태하고 있어 이들에 대한 육성.지원대책을 서둘러야 할 때임을 암시하고 있다. 이번 조치에 따라 체신부는 ‘89.1.1일자 시행을 목표로 공중통신사업자로 하여금 다중화장치 접속기준을 제정토록 지침을 하달한 것으로 알려졌다. 한편, 정부는 국내 정보통신사업 육성방안에 대한 연구.검토와 함께 전기통신관련법령의 전면적인 개편을 추진키 위해 이미 전문연구기관단체 등에 연구용역을 주는 등 본격적인 준비작업에 들어갔다.

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An Investigation on Parameters of a RQP Algorithm for Optimum Structural Design (최적구조물 설계를 위한 RQP 알고리즘의 매개변수 성능평가)

  • 임오강;이병우;변준석
    • Computational Structural Engineering
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    • v.3 no.1
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    • pp.83-95
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    • 1990
  • Many structural optimization problems are solved by numerical algorithms since these are complicated and nonlinear. To provide a wider base and popular it to structual design optimization, reliable, accurate and superlinearly convergent nonlinear programming algorithm with active-set strategy have been developed. One of these is RQP(recursive quadratic programming method). This algorithm has several parameters and its performance is influenced by variations of these key parameters. Therefore, an RQP algorithm is selected to enhance its numerical performances by choosing proper parameters. The paper persents these influences on its numerical performance. For comparison of performances, a structural design software for minimum weight of truss subjected to displacement, stress, and lower and upper bounds on design variables is also implemented.

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Seismic Traveltime Tomography using Neural Network (신경망 이론을 이용한 탄성파 주시 토모그래피의 연구)

  • Kim, Tae-Yeon;Yoon, Wang-Jung
    • Geophysics and Geophysical Exploration
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    • v.2 no.4
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    • pp.167-173
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    • 1999
  • Since the resolution of the 2-D hole-to-hole seismic traveltime tomography is affected by the limited ray transmission angle, various methods were used to improve the resolution. Linear traveltime interpolation(LTI) ray tracing method was chosen for forward-modeling method. Inversion results using the LTI method were compared with those using the other ray tracing methods. As an inversion algorithm, SIRT method was used. In the iterative non-linear inversion method, the cost of ray tracing is quite expensive. To reduce the cost, each raypath was stored and the inversion was performed from this information. Using the proposed method, fast convergence was achieved. Inversion results are likely to be affected by the initial velocity guess, especially when the ray transmission angle was limited. To provide a good initial guess for the inversion, generalized regression neural network(GRNN) method was used. When the transmitted raypath angle is not limited or the geological model is very complex, the inversion results are not affected by initial velocity model very much. Since the raypath angles, however, are limited in most geophysical tomographic problems, the enhancement of resolution in tomography can be achieved by providing a proper initial velocity model by another inversion algorithm such as GRNN.

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Identification of the Sectional Distribution of Sound Source in a Wide Duct (넓은 덕트 단면내의 음원 분포 규명)

  • Heo, Yong-Ho;Ih, Jeong-Guon
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.2
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    • pp.87-93
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    • 2014
  • If one identifies the detailed distribution of pressure and axial velocity at a source plane, the position and strength of major noise sources can be known, and the propagation characteristics in axial direction can be well understood to be used for the low noise design. Conventional techniques are usually limited in considering the constant source characteristics specified on the whole source surface; then, the source activity cannot be known in detail. In this work, a method to estimate the pressure and velocity field distribution on the source surface with high spatial resolution is studied. The matrix formulation including the evanescent modes is given, and the nearfield measurement method is proposed. Validation experiment is conducted on a wide duct system, at which a part of the source plane is excited by an acoustic driver in the absence of airflow. Increasing the number of evanescent modes, the prediction of pressure spectrum becomes further precise, and it has less than -25 dB error with 26 converged evanescent modes within the Helmholtz number range of interest. By using the converged modal amplitudes, the source parameter distribution is restored, and the position of the driver is clearly identified at kR = 1. By applying the regularization technique to the restored result, the unphysical minor peaks at the source plane can be effectively suppressed with the filtering of the over-estimated pure radial modes.