• Title/Summary/Keyword: model compensation

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Performance Improvement of SPLICE-based Noise Compensation for Robust Speech Recognition (강인한 음성인식을 위한 SPLICE 기반 잡음 보상의 성능향상)

  • Kim, Hyung-Soon;Kim, Doo-Hee
    • Speech Sciences
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    • v.10 no.3
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    • pp.263-277
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    • 2003
  • One of major problems in speech recognition is performance degradation due to the mismatch between the training and test environments. Recently, Stereo-based Piecewise LInear Compensation for Environments (SPLICE), which is frame-based bias removal algorithm for cepstral enhancement using stereo training data and noisy speech model as a mixture of Gaussians, was proposed and showed good performance in noisy environments. In this paper, we propose several methods to improve the conventional SPLICE. First we apply Cepstral Mean Subtraction (CMS) as a preprocessor to SPLICE, instead of applying it as a postprocessor. Secondly, to compensate residual distortion after SPLICE processing, two-stage SPLICE is proposed. Thirdly we employ phonetic information for training SPLICE model. According to experiments on the Aurora 2 database, proposed method outperformed the conventional SPLICE and we achieved a 50% decrease in word error rate over the Aurora baseline system.

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Error Analysis and Compensation for the Volumetric Errors of a Vertical Machining Center Using Hemispherical Helix Ball Bar Test (반구상의 나선형 볼바측정을 통한 수직형 머시닝 센터의 오차 해석 및 보정)

  • Yang, Seung-Han;Kim, Ki-Hoon;Park, YongKuk
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.9
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    • pp.34-40
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    • 2002
  • Machining accuracy is affected by quasi-static errors of machining center. Since machine errors have a direct influence upon both the surface finish and geometric shape of the finished workpiece, it is very important to measure the machine errors and to compensate these errors. The laser measurement method for identifying geometric errors of machine tool has the disadvantages such as high cost, long calibration time and usage of volumetric error synthesis model. Accordingly, this paper deals with analysis of the geometric errors of a machine tool using ball bar test without using complicated error synthesis model. Statistical analysis method was adopted in this paper for deriving geometric errors using hemispherical helix ball bar test. As a result of experiment, geometric errors of the vertical machining center are compensated by 88%.

New Discrete-time Small Signal Model of Average Current Mode Control for Current Response Prediction (평균전류모드제어의 전류응답예측을 위한 새로운 이산시간 소신호 모델)

  • Jung Young-Seok
    • The Transactions of the Korean Institute of Power Electronics
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    • v.10 no.3
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    • pp.219-225
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    • 2005
  • In this paper, a new discrete-time small signal model of an average current mode control is proposed to predict the inductor current responses. Compared to the peak current mode control, the analysis of the average current mode control is difficult because of its presence of an compensation network. By utilizing sampler model, a new discrete-time small signal model is derived and used to predict the behaviors of an inductor current of average current mode control employing generalized compensation networks. In order to show the usefulness of the proposed model, prediction results of the proposed model are compared to those of the circuit level simulator, PSIM and experiment.

Design of Multiple Model Fuzzy Predictors using Data Preprocessing and its Application (데이터 전처리를 이용한 다중 모델 퍼지 예측기의 설계 및 응용)

  • Bang, Young-Keun;Lee, Chul-Heui
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.1
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    • pp.173-180
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    • 2009
  • It is difficult to predict non-stationary or chaotic time series which includes the drift and/or the non-linearity as well as uncertainty. To solve it, we propose an effective prediction method which adopts data preprocessing and multiple model TS fuzzy predictors combined with model selection mechanism. In data preprocessing procedure, the candidates of the optimal difference interval are determined based on the correlation analysis, and corresponding difference data sets are generated in order to use them as predictor input instead of the original ones because the difference data can stabilize the statistical characteristics of those time series and better reveals their implicit properties. Then, TS fuzzy predictors are constructed for multiple model bank, where k-means clustering algorithm is used for fuzzy partition of input space, and the least squares method is applied to parameter identification of fuzzy rules. Among the predictors in the model bank, the one which best minimizes the performance index is selected, and it is used for prediction thereafter. Finally, the error compensation procedure based on correlation analysis is added to improve the prediction accuracy. Some computer simulations are performed to verify the effectiveness of the proposed method.

Maneuvering Target Tracking With 3D Variable Turn Model and Kinematic Constraint (3D 가변 선회 모델 및 기구학적 구속조건을 사용한 기동표적 추적)

  • Kim, Lamsu;Lee, Dongwoo;Bang, Hyochoong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.48 no.11
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    • pp.881-888
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    • 2020
  • In this paper, research on estimation of states of a target of interest using Line Of Sight(LOS) angle measurement is performed. Target's position, velocity, and acceleration are chosen to be the states of interests. The LOS measurement is known to be highly non-linear, making target dynamic modeling hard to be implemented into a filter. To solve this issue, the Pseudomeasurement equation was applied to the LOS measurement equation. With the help of this equation, 3D variable turn target dynamic model is applied to the filter model. For better performance, Kinematic Constraint is also implemented into the filter model. As for the filter, Bias Compensation Pseudomeasurement Filter (BCPMF) is used which is known for its robustness to initial conditions. Moreover, Two-Stage Kalman Filter (TSKF) form was also implemented to benefit from the parallel computation. As a result, TBCPMF 3DVT-KC is proposed and simulated to assess performance.

Motion-Field Segmentation for Video Coding (동영상 부호화를 위한 움직임 필터 영역화)

  • 강동욱;이승준;이충웅
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.7
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    • pp.141-148
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    • 1994
  • This paper presents a new method for reducing the blocking artifacts there by increasing the prediction gains of the block-based motion compensation keeping the amount of the motion information to be transmitted intact. The new method improves the motion compensation along the edges of moving objects by segmenting the motion field at the pixel resolution based on the model that the motion compensated image is the maximum a poseriori estimate of the current frame.

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Sliding Mode Observer (SMO) using Aging Compensation based State-of-Charge(SOC) Estimation for Li-Ion Battery Pack

  • Kim, Jonghoon;Nikitenkov, Dmitry;Denisova, Valeria
    • Proceedings of the KIPE Conference
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    • 2013.11a
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    • pp.200-201
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    • 2013
  • This paper investigates a new approach for Li-Ion battery state-of-charge (SOC) estimation using sliding mode observer (SMO) technique including parameters aging compensation via recursive least squares (RLS). The main advantages of this approach would be low computational load, easiness of implementation along with the robustness of the method for internal battery model parameters estimation. The proposed algorithm was first tested on a set of acquired battery data using implementation in Simulink and later developed as C-code module for firmware application.

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A Fixed Amount Compensation Plan for a Tool Wear Process (마모공정에 대한 정량 보정계획)

  • 최인수;이민구
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.40
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    • pp.233-240
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    • 1996
  • A fixed amount compensator is proposed for a process with a linear tool wear function. A Cost model is constructed which involve process adjustment cost and quality loss. Symmetric and asymmetric quadratic functions of the deviation of a quality measurement from the nominal target value are considered as the quality loss functions. Methods of finding optimal values of initial setting and compensation limit are presented and a numerical example is given.

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Inverse Compensation of Hysteresis in Ferromagnetic Materials (강자성체의 히스테리시스 역 보상 모델)

  • 박영우;한광섭
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.1470-1474
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    • 2004
  • This paper addresses the development of inverse compensation techniques for a class of ferromagnetic transducers including magnetostrictive actuators. In this work, hysteresis is modeled through the domain wall theory originally proposed by Jiles and Atherton[1]. This model is based on the quantification of the energy required to translate domain walls pinned at inclusions in the material with the magnetization at a given field level specified through the solution of an ordinary differential equation. A complementary differential equation is then employed to compute the inverse which can be used to compensate for hysteresis and nonlinear dynamics in control design.

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Robust Stability and Transient Behavior of a Two-Degree-of-Freedom Servosystem (2자 유도 서보계의 강인한 안전성 및 과도특성)

  • 김영복
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.32 no.1
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    • pp.59-66
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    • 1996
  • This paper considers robust stability and transient behavior of the Two - Degree - of - Freedom(2DOF) servosystem. A class of uncertainties allowed in the plant model is obtained, to which the servosystem is robustly stable for any gain of the integral compensator. This result implies that if the plant uncertainty is the allowable set defined by the condition, a high - gain compensation can be carried out preserving stability to achieve a high - speed tracking response. The transient behavior attainable by the limit of the high - gain compensation is calculated using the singular perturbation approach.

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