• Title/Summary/Keyword: continuous method

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Rapid Speaker Adaptation for Continuous Speech Recognition Using Merging Eigenvoices (Eigenvoice 병합을 이용한 연속 음성 인식 시스템의 고속 화자 적응)

  • Choi, Dong-Jin;Oh, Yung-Hwan
    • MALSORI
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    • no.53
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    • pp.143-156
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    • 2005
  • Speaker adaptation in eigenvoice space is a popular method for rapid speaker adaptation. To improve the performance of the method, the number of speaker dependent models should be increased and eigenvoices should be re-estimated. However, principal component analysis takes much time to find eigenvoices, especially in a continuous speech recognition system. This paper describes a method to reduce computation time to estimate eigenvoices only for supplementary speaker dependent models and to merge them with the used eigenvoices. Experiment results show that the computation time is reduced by 73.7% while the performance is almost the same in case that the number of speaker dependent models is the same as used ones.

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A Mixing Time Measurement by a Conductivity Method in a Continuous Flow Stirred Tank (電氣傳導度 測定에 依한 連續流 攪拌槽의 混合時間 測定)

  • Kang, Woong-Ki
    • Journal of the Korean Chemical Society
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    • v.6 no.2
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    • pp.130-132
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    • 1962
  • A new method of evaluating the mixing time in the continuous flow stirred tank is herein proposed. Experimental results to test the concept are also presented.The mixing time is defined as the time interval between the injection of a slug of an electrolyte solution into the tank and the moment at which an essentially straight line begins on a plot of the conductivity of effluent versus time.The proposed method of measuring the mixing time is valid even for the low mixing time (5 seconds) and the results obtained agree well with previous work, where the mixing time measurements were carried out by the injection of a dye into the feed stream.

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A Implementation of a Line Scan System for Continuous Manufacturing Process (연속 생산 라인에서의 고속 라인 스캔 검사 시스템 구축)

  • Lim, Cheung;Lee, Jong-Min;Kim, Yong-Deak
    • Proceedings of the IEEK Conference
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    • 2002.06e
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    • pp.211-214
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    • 2002
  • Under a continuous manufacturing process, two dimension inspection system causes problems as blurring effect and low resolution and requires position calibration between frames. One dimension inspection system is, therefore, being researched as a substitution. In this paper, we implement mechanism of switching memory and processing data for reasonable one dimension inspection system. Redundant weft image and noise was suggested to be reduced by new method using modified morphological process and masked erosion process. From resulting image, line data and possible error information were obtained and constructed as a structure. Finally, error detecting algorithm was performed with this data structure. Processing time of error detecting was 0.625ms per line in applied system and experiment showed 94.7% of error detecting ability. This method is 20% faster in speed and 2.7% higher in error detecting ability comparing with the present method.

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Explorized Policy Iteration For Continuous-Time Linear Systems (연속시간 선형시스템에 대한 탐색화된 정책반복법)

  • Lee, Jae-Young;Chun, Tae-Yoon;Choi, Yoon-Ho;Park, Jin-Bae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.3
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    • pp.451-458
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    • 2012
  • This paper addresses the problem that policy iteration (PI) for continuous-time (CT) systems requires explorations of the state space which is known as persistency of excitation in adaptive control community, and as a result, proposes a PI scheme explorized by an additional probing signal to solve the addressed problem. The proposed PI method efficiently finds in online fashion the related CT linear quadratic (LQ) optimal control without knowing the system matrix A, and guarantees the stability and convergence to the LQ optimal control, which is proven in this paper in the presence of the probing signal. A design method for the probing signal is also presented to balance the exploration of the state space and the control performance. Finally, several simulation results are provided to verify the effectiveness of the proposed explorized PI method.

Contact Modeling of Arbitrary Shaped Bodies in Space (공간상에서 자유 곡면 물체의 접촉 모델링)

  • Park, Su-Jin;Shin, Ki-Bong;Sohn, Jeong-Hyun;Yoo, Wan-Suk
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.4
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    • pp.544-550
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    • 2003
  • The contact analyses of arbitrary shaped spatial bodies are important in the study of multi-body dynamics. This paper presents a method fur calculating contact force between bodies in space. At each integration time step, the proposed method finds potential contact points on bodies and then calculates the penetration, the velocity of penetration, and the contact force. A continuous analysis method is adopted to calculate the contact force. To get contact points accurately on their outlines, a new algorithm is developed. The proposed algorithm is tested and compared the results of DADS. As applications, the contact of two steel balls, spatial pendulums, and the problem of a ball and bat are demonstrated.

Landmark-Guided Segmental Speech Decoding for Continuous Mandarin Speech Recognition

  • Chao, Hao;Song, Cheng
    • Journal of Information Processing Systems
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    • v.12 no.3
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    • pp.410-421
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    • 2016
  • In this paper, we propose a framework that attempts to incorporate landmarks into a segment-based Mandarin speech recognition system. In this method, landmarks provide boundary information and phonetic class information, and the information is used to direct the decoding process. To prove the validity of this method, two kinds of landmarks that can be reliably detected are used to direct the decoding process of a segment model (SM) based Mandarin LVCSR (large vocabulary continuous speech recognition) system. The results of our experiment show that about 30% decoding time can be saved without an obvious decrease in recognition accuracy. Thus, the potential of our method is demonstrated.

Depth Control of Underwater Flight Vehicle Using Fuzzy Sliding Mode Controller and Neural Network Interpolator (퍼지 슬라이딩 모드 제어기 및 신경망 보간기를 이용한 Underwater Flight Vehicle의 심도 제어)

  • Kim, Hyun-Sik;Park, Jin-Hyun;Choi, Young-Kiu
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.8
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    • pp.367-375
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    • 2001
  • In Underwater Flight Vehicle depth control system, the followings must be required. First, it needs robust performance which can get over modeling error, parameter variation and disturbance. Second, it needs accurate performance which have small overshoot phenomenon and steady state error to avoid colliding with ground surface or obstacles. Third, it needs continuous control input to reduce the acoustic noise and propulsion energy consumption. Finally, it needs interpolation method which can sole the speed dependency problem of controller parameters. To solve these problems, we propose a depth control method using Fuzzy Sliding Mode Controller with feedforward control-plane bias term and Neural Network Interpolator. Simulation results show the proposed method has robust and accurate control performance by the continuous control input and has no speed dependency problem.

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Numerical Iteration for Stationary Probabilities of Markov Chains

  • Na, Seongryong
    • Communications for Statistical Applications and Methods
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    • v.21 no.6
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    • pp.513-520
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    • 2014
  • We study numerical methods to obtain the stationary probabilities of continuous-time Markov chains whose embedded chains are periodic. The power method is applied to the balance equations of the periodic embedded Markov chains. The power method can have the convergence speed of exponential rate that is ambiguous in its application to original continuous-time Markov chains since the embedded chains are discrete-time processes. An illustrative example is presented to investigate the numerical iteration of this paper. A numerical study shows that a rapid and stable solution for stationary probabilities can be achieved regardless of periodicity and initial conditions.

A Study on the Intuitive Understanding Concept of Continuous Random Variable (연속확률변수 개념의 직관적 이해에 관한 고찰)

  • 박영희
    • School Mathematics
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    • v.4 no.4
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    • pp.677-688
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    • 2002
  • The context and intuitive understanding is very important in Statistics Education. Especially, there is a need to mitigate student's difficulty in studying probability density function. One of teaching method this concept is to using relative frequency histogram. But, as using this method, we should know several problems included in that. This study investigate problems in the method for teaching probability density function as gradual meaning of histogram. Also, as alternative approach, this thesis introduce the density curve concept. The application of four methods to teach the concept of the probability density function and analysis of the survey result is done in this research.

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Parallel 3-D Aerodynamic Shape Optimization on Unstructured Meshes

  • Lee, Sang-Wook;Kwon, Oh-Joon
    • International Journal of Aeronautical and Space Sciences
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    • v.4 no.1
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    • pp.45-52
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    • 2003
  • A three-dimensional aerodynamic shape optimization technique in inviscid compressible flows is developed by using a parallel continuous adjoint formulation on unstructured meshes. A new surface mesh modification method is proposed to overcome difficulties related to patch-level remeshing for unstructured meshes, and the effect of design sections on aerodynamic shape optimization is examined. Applications are made to three-dimensional wave drag minimization problems including an ONERA M6 wing and the EGLIN wing-pylon-store configuration. The results show that the present method is robust and highly efficient for the shape optimization of aerodynamic configurations, independent of the number of design variables used.