• Title/Summary/Keyword: Estimation Errors

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A Study on Poly-pulse Pair Estimation Method for Reduction of Bias Errors in a Weather Radar (기상레이다에서의 편향오차 감소를 위한 다중 펄스페어 추정기법에 관한 연구)

  • 이종길
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.12B
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    • pp.2292-2297
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    • 1999
  • Some observed weather spectra show that nearly 25% of weather spectra are seriously skewed and can not be considered to be symmetric. However, the conventional pulse pair method was derived and has been evaluated under the assumption that the weather spectrum is symmetric and narrow. This means that the conventional pulse pair method may need reevaluation. Therefore, this paper analyzed the bias errors of pulse pair estimates in the skewed spectra. The bias errors of pulse pair mean estimates are more serious comparing with the pulse pair width estimates. In this paper, the poly-pulse pair method is suggested to reduce these bias errors of mean estimates. It was shown that the mean bias errors can be reduced remarkably using the newly suggested poly-pulse pair method.

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Robust Ultrasound Multigate Blood Volume Flow Estimation

  • Zhang, Yi;Li, Jinkai;Liu, Xin;Liu, Dong Chyuan
    • Journal of Information Processing Systems
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    • v.15 no.4
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    • pp.820-832
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    • 2019
  • Estimation of accurate blood volume flow in ultrasound Doppler blood flow spectrograms is extremely important for clinical diagnostic purposes. Blood volume flow measurements require the assessment of both the velocity distribution and the cross-sectional area of the vessel. Unfortunately, the existing volume flow estimation algorithms by ultrasound lack the velocity space distribution information in cross-sections of a vessel and have the problems of low accuracy and poor stability. In this paper, a new robust ultrasound volume flow estimation method based on multigate (RMG) is proposed and the multigate technology provides detail information on the local velocity distribution. In this method, an accurate double iterative flow velocity estimation algorithm (DIV) is used to estimate the mean velocity and it has been tested on in vivo data from carotid. The results from experiments indicate a mean standard deviation of less than 6% in flow velocities when estimated for a range of SNR levels. The RMG method is validated in a custom-designed experimental setup, Doppler phantom and imitation blood flow control system. In vitro experimental results show that the mean error of the RMG algorithm is 4.81%. Low errors in blood volume flow estimation make the prospect of using the RMG algorithm for real-time blood volume flow estimation possible.

Adaptive Control of a Nonholonomic Mobile Robot with Parametric Uncertainty (불확실한 파라미터를 갖는 비홀로노믹 이동로봇의 적응제어)

  • Baik, Jong-Ik;Yun, Tae-Ung
    • Proceedings of the KIEE Conference
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    • 2003.11b
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    • pp.15-18
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    • 2003
  • This paper presents an adaptive control scheme for parking or regulating a nonholonomic mobile robot of an unicycle type with parameter uncertainty. The kinematics can be described with Brockett's nonholonomic integrator. The control law is designed in cylindrical coordinates together with the estimation law for the uncertain parameters such that the controlled signals converge to zero while guaranteeing the boundedness of the estimation errors. The effectiveness of the proposed scheme is demonstrated using simulations.

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A study on Robust Estimation of ARCH models

  • Kim, Sahm-Yeong;Hwang, Sun-Young
    • Proceedings of the Korean Statistical Society Conference
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    • 2002.11a
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    • pp.3-9
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    • 2002
  • In financial time series, the autoregressive conditional heteroscedastic (ARCH) models have been widely used for modeling conditional variances. In many cases, non-normality or heavy-tailed distributions of the data have influenced the estimation methods under normality assumption. To solve this problem, a robust function for the conditional variances of the errors is proposed and compared the relative efficiencies of the estimators with other conventional models.

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ESTIMATION OF ERRORS IN INS WITH GPS

  • Chang, Yu-Shin;Kim, Jae-Sik;Ha, S-K;Kim, C-S;Kim, E-J;Hong, S-P;Lee, M-H
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.53.1-53
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    • 2002
  • $\textbullet$ Contents 1. Introduction $\textbullet$ Contents 2. Error Models of Navigation $\textbullet$ Contents 3. Observablity Properties of GPS/INS $\textbullet$ Contents 4. Measurement System for INS Error Estimation $\textbullet$ Contents 5. Numerical Simulation Results $\textbullet$ Contents 6. Conclusions

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Absolute Vehicle Speed Estimation considering Acceleration Bias and Tire Radius Error (가속도 바이어스와 타이어반경 오차를 고려한 차량절대속도 추정)

  • 황진권;송철기
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.6
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    • pp.234-240
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    • 2002
  • This paper treats the problem of estimating the longitudinal velocity of a braking vehicle using measurements from an accelerometer and wheel speed data from standard anti-lock braking wheel speed sensors. We develop and experimentally test three velocity estimation algorithms of increasing complexity. The algorithm that works the best gives peak errors of less than 3 percent even when the accelerometer signal is significantly biased.

Interval estimation of mean value function using fuzzy approach

  • Kim, Daekyung
    • Journal of Applied Reliability
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    • v.1 no.2
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    • pp.175-181
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    • 2001
  • Recently, the quality of software has become a major issue. The statistical models used in making predictions about the quality of software are termed software reliability growth models (SRGM). However, the existing SRGMs have not been satisfactory in predicting software reliability behavior (Keiller and Miller(1991), Keiller and Littlewood(1984), Musa(1987)). In this paper, we present a fuzzy-based interval estimation of software errors (failures).

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A Comparison Study on the Error Criteria in Nonparametric Regression Estimators

  • Chung, Sung-S.
    • Journal of the Korean Data and Information Science Society
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    • v.11 no.2
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    • pp.335-345
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    • 2000
  • Most context use the classical norms on function spaces as the error criteria. Since these norms are all based on the vertical distances between the curves, these can be quite inappropriate from a visual notion of distance. Visual errors in Marron and Tsybakov(1995) correspond more closely to "what the eye sees". Simulation is performed to compare the performance of the regression smoothers in view of MISE and the visual error. It shows that the visual error can be used as a possible candidate of error criteria in the kernel regression estimation.

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Estimation on Exponential Model with Limited Replacements

  • Cho, Kil-Ho;Cho, Jang-Sik;Jeong, Seong-Hwa
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.2
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    • pp.457-465
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    • 2005
  • We consider the estimation of parameter in the exponential model in the case that the number of replacements of failed items is limited. And the desirable number of replacements to give the similar effect as unlimited case in terms of the mean square errors is proposed.

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