• Title/Summary/Keyword: Convergence characteristic

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적응잡음제거기의 성능향상을 위한 웨이브렛 기반 적응알고리즘에 관한 연구 (A Study on Adaptive Algorithm Based on Wavelet Transform for Adaptive Noise Canceler Improvement)

  • 이채욱;김도형;오신범
    • 한국산업정보학회논문지
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    • 제7권2호
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    • pp.68-73
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    • 2002
  • 빠른 수렴속도를 얻기 위해서 LS(Least Square)에 기초한 적응 알고리즘에 대한 연구가 많이 이루어지고 있다. 본 논문에서는 수렴속도의 향상 그리고 계산량의 감소를 위하여 웨이브렛 기반 적응알고리즘을 제안하고, 음성신호의 특성에 따라서 두 가지 구조의 형태로 적응잡음 제거기에 적용시켰다. 컴퓨터 시뮬레이션을 통하여 기존의 시간영역 적응알고리즘, 주파수영역 적응알고리즘 그리고 제안한 알고리즘을 적응잡음제거기에 적용하여 비교하였다. 그 결과 제안한 알고리즘은 음성을 사용하는 적응신호처리 분야에 적합하다는 것을 확인하였다.

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Free Vibrations and Buckling of Rectangular Plates with Linearly Varying In-Plane Loading

  • 장경호;심현주;강재훈
    • 한국공간구조학회논문집
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    • 제4권4호
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    • pp.99-111
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    • 2004
  • An exact solution procedure is formulated for the free vibration and buckling analysis of rectangular plates having two opposite edges simply supported when these edges are subjected to linearly varying normal stresses. The other two edges may be clamped, simply supported or free, or they may be elastically supported. The transverse displacement (w) is assumed as sinusoidal in the direction of loading (x), and a power series is assumed in the lateral (y) direction (i.e., the method of Frobenius). Applying the boundary conditions yields the eigenvalue problem of finding the roots of a fourth order characteristic determinant. Care must be exercised to obtain adequate convergence for accurate vibration frequencies and buckling loads, as is demonstrated by two convergence tables. Some interesting and useful results for vibration frequencies and buckling loads, and their mode shapes, are presented for a variety of edge conditions and in-plane loadings, especially pure in-plane moments.

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SVM을 통한 미확인 침입탐지 시스템 개발 (A Development of Unknown Intrusion Detection System with SVM)

  • 김석태;한인규;이창용;고정호;이도원;오정민;방철수;이극
    • 융합보안논문지
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    • 제7권4호
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    • pp.23-28
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    • 2007
  • 본 연구는 수집된 training 패킷을 패킷이미지 생성모듈을 통해 적절히 가공하여 SVM에 학습을 시키고 학습된 SVM에 testing 패킷이미지를 테스트 시킨 후 분류해내는 것을 제안한다. 서포트 벡터 머신[Support Vector Machines]을 이용한 미확인 침입탐지 시스템은 보안의 안정성 및 효율성면에서 기존의 시스템들보다 훨씬 우수하다.

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LSMC를 이용한 전자기 위상 최적화 (Electromagnetic topology optimization using large-step markov chain method with novel local optimization algorithm)

  • 고유리;임창환;정현교
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 B
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    • pp.944-946
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    • 2004
  • In this paper, a new technique for electromagnetic topology optimization is proposed. The proposed technique is based on the large-step Markov chain (LSMC) method with novel local optimization algorithm. Because the proposed algorithm keeps a good convergence characteristic of LSMC, fast convergence is assured. The proposed LSMC is verified by an application to an inverse reconstruction problem.

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멀티웨이브릿변환 영역에서 지각적 동조 특성과 통계적 모델을 이용한 디지털 영상 워터마킹 (Digital Image Watermarking Using Perceptually Tuned Characteristic and Stochastic Model Based on Multiwavelet Transform)

  • 황의창;윤재식;유상욱;문광석;박남천;권기룡
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2003년도 하계학술대회 논문집
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    • pp.54-57
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    • 2003
  • 본 논문에서는 멀티웨이브릿 변환영역에서 통계적 모델과 지각적 동조특성을 이용한 적응적 디지털 워터마킹 기법을 제안한다. 워터마크는 4레벨로 분해된 멀티웨이브릿 변환영역에서 최저주파 영역과 최고주파 대역들을 제외한 중간 및 고주파 영역에, 인간 시각 시스템(human visual model BWS)을 이용한 JND(just noticeable difference) 특성과 NVF(noise visibility function)를 이용한 통계적 특성을 기반으로 정상상태 가우시안 모델과 비정상상태 가우시안 모델에 따라 지각적 동조 특성을 이용하여 적응적으로 삽입된다. 실험 결과 제안한 방법에서 에지나 텍스쳐 영역에 더 강하게 삽입할 수 있었고, 평탄영역에서 보다 적응적으로 은닉할 수 있었으며 정상상태 가우시안 모델에서 지각적 동조특성을 이용한 방법이 더 우수한 비가시성과 강인성을 확인하였다.

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DC서보계에서 2층신경망을 이용한 확대 PID 제어기 (Expanded PID Controller Using Double-Layers Neural Network In DC Servo System)

  • 이정민;하홍곤
    • 융합신호처리학회논문지
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    • 제2권1호
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    • pp.88-94
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    • 2001
  • In the position control system, the output of a controller is generally used as the input of a plant but the undesired noise is included in the output of a controller. Therefore, there is a need to use a precompensator for rejecting the undesired noise. In this paper, the expanded PID controller with a precompensator is constructed. The precompensator and PID controller are designed by a neural network with two-hidden layer and these coefficients are changed automatically to be a desired response of system when the response characteristic is changed under a condition.

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유전자 알고리즘을 사용한 PID제어기의 자동동조 (An Auto-tuing of PID Controller using Genetic Algorithms)

  • 이수흠;이내일;정순현
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2000년도 추계종합학술대회논문집
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    • pp.225-228
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    • 2000
  • We propose a new method to deal with the optimized auto-tuning for the PID controller which is used to the process-control in various fields. First of all, in this method, 1st order delay system with dead time which is modelled from the unit step response of the system is Pade-approximated, then initial values are determined by the Ziegler-Nickels method. So deciding binary strings of parents generation using by the fitness values of genetic algorithms, we perform selection, crossover and mutation to generate the descendant generation. The advantage of this method is better than the Ziegler-Nickels method in characteristic of output, and has extent of applying without limit of K, L, T parameters.

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단결정 실리콘 써모파일을 이용한 접촉형 온도센서 개발 (Development of a Contact Type Temperature Sensor Using Single Crystal Silicon Thermopile)

  • 이영태;이유나;이왕훈
    • 센서학회지
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    • 제22권5호
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    • pp.369-373
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    • 2013
  • In this paper, we developed contact type temperature sensor with single crystal silicon strip thermopile. This sensor consists of 15 p-type single crystal silicon strips, 17 n-types and contact electrodes on silicon dioxide silicon membrane. The result of electromotive force measuring showed very good characteristic as $15.18mV/^{\circ}C$ when temperature difference between the two ends of the thermopile occurs by applying thermal contact on the thermopile which was fabricated with silicon strip of $200{\mu}m$ length, $20{\mu}m$ width, $1{\mu}m$ thickness.

Wavelet Estimation of Regression Functions with Errors in Variables

  • Kim, Woo-Chul;Koo, Ja-Yong
    • Communications for Statistical Applications and Methods
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    • 제6권3호
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    • pp.849-860
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    • 1999
  • This paper addresses the issue of estimating regression function with errors in variables using wavelets. We adopt a nonparametric approach in assuming that the regression function has no specific parametric form, To account for errors in covariates deconvolution is involved in the construction of a new class of linear wavelet estimators. using the wavelet characterization of Besov spaces the question of regression estimation with Besov constraint can be reduced to a problem in a space of sequences. Rates of convergence are studied over Besov function classes $B_{spq}$ using $L_2$ error measure. It is shown that the rates of convergence depend on the smoothness s of the regression function and the decay rate of characteristic function of the contaminating error.

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2CAVITY 다이캐스팅을 이용한 자동차 VALVE HOUSING의 기계적 특성 해석 (Analysis of mechanical characteristic of valve housing for automobile using 2-cavity die casting)

  • 이종형;윤종철;유덕상;이창헌;하홍배
    • 한국산업융합학회 논문집
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    • 제9권2호
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    • pp.105-110
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    • 2006
  • Valve-housing parts in car steering system is a part of steering system and then take charge of the main functions for car steering system to reduce driver's handling-force. Recently it is still not developed reliable casting for many cars, so it produce as a Gravity casting which is more than triple for producing cost in Korea. In this research, we had conducted that 350t aluminum die casting is superior to mechanical property from established over 500t or not for Valve-housing, a parts of steering system which were produced as a cast-iron product and the most suitable conditions to extruding as die casting.

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