Applied Mechanics and Materials Vols. 373-375

Abstract: Symbolic-code condition mutual information (SCCMI) algorithm is proposed,which can detect coupling between several systems.SCCMI combines condition mutual information with symbolic-code algorithm. Condition mutual information entropy is used to finding coupling degree between time series .The meaning of symbolic-code algorithm is to retention large scale information of time sequence, whats more ,reduce noise effect. SCCMI algorithm is used to analyze difference of coupling between epileptic EEG signals and normal ones .Hypothesis testing was done by SPSS.It turns out that the difference between epileptic EEG signals and normal ones is significant.SCCMI algorithm is proved to be effective. And coupling degree can be used as a parameter to measure if brain is healthy.

Abstract: This paper describes the synthesis of a robust and non-fragile H_∞ observer-based filter design for a class of parameter uncertain system with polytopic uncertainties, disturbances, and gain variations. We present the sufficient condition for filter existence and the method for designing a robust and non-fragile H_∞ filter by using LMIs (Linear Matrix Inequalities) technique. Because the obtained sufficient condition can be represented as PLMIs (Parameterized Linear Matrix Inequalities), which can generate infinite LMIs, we use the relaxation technique to find finite solutions for a robust and non-fragile H_∞ filter. We show that the proposed filter can minimize the estimation error in terms of parameter uncertainties, filter-fragility, and disturbances.

Abstract: According to acoustic emission mechanism of the material stress process, establish the gray cusp catastrophe model of acoustic emission parameters based on the grey theory and catastrophe theory. Using the model, carried out mutation analysis of the acoustic emission parameters of the coal mining face supporting pressure, then realized to face discrimination and prediction of rock burst. Point mutations in the roof sandstone acoustic emission rate of this parameter, has important significance for fracture mechanics study of working face roof sandstone.

Abstract: The commonly used method for high resolution velocity analysis in seismic data processing and interpreting is based on signal estimation algorithm. However, the numerical realization of this method is complicated and time-consuming due to the process of signal-noise separation requiring enormous loop calculations before constructing the energy function. In this paper, we improved the method on the base of multi-trace signal estimation. This improved method made full use of amplitude information that can enhance the anti-noise ability and improve the resolution greatly. Meanwhile, this method has more economical calculation cost than other methods for it didnt require multiple loop calculations.

Abstract: In this paper, a quasi-orthogonal space time block coding (QO-STBC) scheme with maximum likelihood (ML) decoding via simple linear and single-complex-symbol detection is proposed. We present a fast and simple linear decode processing by embedding a transformed signal space. The method benefits from the reduced maximum likelihood decoding complexity via the pre-interleaving to QO-STBC. We also proposed codes with 3/4 of the full transmission rate for the specific cases of 8 transmit antennas. Finally, the numerical results show the proficiency of our design procedure, demonstrating that significant improvements in BER are achievable when the rate or receive antennas increases.

Abstract: A new iteration reconstruction technique is suggested, which is named nonlinear auto-adjusting iterative reconstruction technique (NAIRT). Its anti-noise performance used in deflection tomography was tested with its projections added noises. A complicated air flow field, called model, was simulated, and was projected according to deflection tomographic algorithm. Thereupon, the real projections were obtained. A Series of random noises at different strength level were produced using randG function. Then, the noises were added to the real projections linearly. So, a series of noised projections were acquired. According to deflection tomographic algorithm, the noised projections were inversely projected to reconstruct the model using NAIRT. The reconstructive effect at the end of each cycle iteration was recorded with mean square error (MSE) index. The iteration stopped after one hundred and three cycles. As the results: First, at the noise level of 60dB S/N, NAIRT could reconstruct the model by a decent accuracy. The MSE declined to 6.49×10^-5 at the end of 103 iteration cycles. Second, at the noise level of 30dB S/N, NAIRT could yet reconstruct the model by the level of its profile. The MSE stabilized at 2.67×10^-4 at the end of 103 cycles. Last, at the noise level of 100dB S/N, NAIRT could accurately reconstruct the model. The MSE declined to 3.49×10^-5 at the end of 103 iteration cycles. Both the reconstructed images and MSE analyses demonstrated that NAIRT had wonderful anti-noise performance when it was used in deflection tomography.

Abstract: The quality and safety of organic tea has a great influence on organic tea production and development in China. The application of RFID can improve its standard of quality and safety. This paper mainly introduces the key technical link and how to apply RFID technology in material production, processing, storage, transportation and trade of organic tea in detail.

Abstract: For multichannel autoregressive moving average (ARMA) signal with colored measurement noises, based on classical Kalman filtering theory, a covariance intersection (CI) fusion smoother without cross-covariances is presented by the augmented state space model. It has the advantage that the computation of cross-covariances is avoid, so it can significantly reduce the computational burden, and it can solve the fusion problem for multi-sensor systems with unknown cross-covariances. Under the unbiased linear minimum variance (ULMV) criterion, three optimal weighted fusion smoothers with matrix weights, scalar weights and diagonal weights are also presented respectively. The accuracy comparison of the CI fuser with the other three weighted fusers is given. It is shown that its accuracy is higher than that of each local smoother, and is lower than or close to that of the optimal fuser weighted by matrices. So the presented fusion smoother is better in performance.

Abstract: This paper proposes a new integration technology for RFID data by using XML£¬EPC tag and metadatabase. It solves the problem of data storage and sharing between the RFID systems and enterprise applications. And it can be used to achieve integration with other industries heterogeneous systems.

Abstract: A method for determining whether a multi-input multi-output (MIMO) active noise control (ANC) system can reduce error signals around all sensors to zero at steady state was proposed. The method was converted to determine the solution of linear equations. Three different simulations were conducted to verify the theoretical analysis. Simulation shows that max estimation error of control signals is no greater than 1.87% in amplitude and 2.22 deg. in phase.