• Journal of the Korean Data and Information Science Society
• /
• v.6 no.1
• /
• pp.53-61
• /
• 1995

This paper deals with problems of predicting, based on the random censored sampling, a future observation and the p-th order statistic of n' future observations for the Rayleigh model. We consider the prediction intervals for the Rayleigh model with respect to an inverse gamma prior distribution. In additions, numerical examples are given in order to illustrate the proposed predictive procedure.

• The Transactions of the Korean Institute of Electrical Engineers D
• /
• v.53 no.12
• /
• pp.827-833
• /
• 2004

In active noise control (ANC) systems, the error-reduction performance of the conventional Filtered-X Least Mean Square (FXLMS) algorithm may be affected by nonlinear distortions in the secondary path such as in the power amplifiers, loudspeakers and transducers. In this paper, a nonlinear FXLMS algorithm with high error-reduction performance is proposed to compensate for undesirable nonlinearities in the secondary-path of ANC systems by employing the inverse Volterra filtering approach. In particular, the proposed approach is based on the utilization of the conventional P-th order inverse approach to nonlinearity compensation in the secondary path of ANC systems. Finally, the simulation results showed that the proposed approach yields a better nonlinearity compensation performance for the ANC systems with a nonlinear secondary path than the conventional FXLMS.

• Child Health Nursing Research
• /
• v.9 no.2
• /
• pp.198-205
• /
• 2003

Purpose: The purpose of this study is to investigate the degree of school children's internet addiction and to explicit the relationship among the internet addiction, family environment and school adjustment. Method: The subjects of the study were 640 students from 5th and 6th year children of five elementary schools in G city. The data were analyzed by SAS program with frequency, percentage, means, standard deviation, χ² -test, ANOVA and Pearson's Correlation Coefficient. Result: In the degree of the internet addiction were 10.0％ of addiction group, 58.0％ of intermediate group, and 32.0％ of nonaddiction group. There were significant differences in family environment score(F=25.09, p=.0001) and school adjustment score(F=34.46, p=.0001) regarding internet addiction degree. The relationship among internet addiction score, family environment score and school adjustment score revealed a significant inverse correlation(r=-0.32, p=.0001, r=-0.35, p=.0001). And the relationship between family environment score and school adjustment score revealed a significant correlation(r=0.52, p=.0001). Conclusion: The degree of school children's internet addiction has been found to be very high and correlated to the family environment and school adjustment. Therefore, programs should be developed in order to improve this situation.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.34 no.4C
• /
• pp.403-413
• /
• 2009

We compare three predistortion methods to prevent signal distortion and spectral re-growth due to the high PAPR (peak-to-average ratio) of OFDM signal and the non-linearity of high-power amplifiers. The three predistortion methods are pth order inverse, indirect learning architecture and look up table. The pth order inverse and indirect learning architecture methods requires less memory and has a fast convergence because these methods use a polynomial model that has a small number of coefficients. Nevertheless the convergence is fast due to the small number of coefficients and the simple computation that excludes manipulation of complex numbers by separate compensation for the magnitude and phase. The look up table method is easy to implement due to simple computation but has the disadvantage that large memory is required. Computer simulation result reveals that indirect learning architecture shows the best performance though the gain is less than 1 dB at $BER\;=\;10^{-4}$ for 64-QAM. The three predistorters are adaptive to the amplifier aging and environmental changes, and can be selected to the requirements for implementation.

• Proceedings of the KIEE Conference
• /
• 2004.11c
• /
• pp.565-567
• /
• 2004

In active noise control (ANC) systems, the convergence behavior of the conventional Filtered-X Least Mean Square (FXLMS) algorithm may be affected by nonlinear distortions in the secondary path (e.g., in the power amplifiers, loudspeakers, transducers, etc.), which may lead to degradation of the error-reduction performance of the ANC systems. In this paper, a stable FXLMS algorithm with fast convergence is proposed to compensate for undesirable nonlinear distortions in the secondary-path of ANC systems by employing the Volterra filtering approach. In particular, the proposed approach is based on the utilization of the conventional P-th order inverse approach to nonlinearity compensation in the secondary path of ANC systems. Finally, the simulation results showed that the proposed approach yields a better convergence behavior In the nonlinear ANC systems than the conventional FXLMS.