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Traditional physical layer security methods, such as artificial noise, commonly require that the sender has more antennas than that of the receivers, which is not practical in the multicasting system. To solve this problem, a multicarrier-based physical layer security scheme for the multicast systems is proposed, which takes the advantage of both space and frequency domain to form a relatively virtual...
Accelerometers are one of the most commonly used sensor in structural control and health monitoring applications. However the accelerometer output is polluted with noise and bias signals. Obtaining velocity and position from these acceleration measurements are not trivial. Direct integration will result in an output drift. In this paper baseline correction and filtering techniques are used to overcome...
Velocity and position are mostly used signals in structural control and monitoring applications. While in real applications, acceleration measurements are easily accessible using accelerometers. Velocity and position are then estimated by integrating the measured acceleration. This paper use two techniques, baseline correction and low-pass filtering, to solve the problems associated with the numerical...
As cameras become cheaper and gain popularity, vision-based input devices are highly desired and may now become a feasible solution. In this paper, a vision-based virtual piano mechanism is proposed. By tacking and analyzing the motion of the fingertips, the system can detect keystrokes and play the corresponding note on a seven-key virtual piano. Experimental results show the precision and efficiency...
Compared to normal learning algorithms, for example backpropagation, Kalman filter-based algorithm has some better properties, such as faster convergence, although this algorithm is more complex and sensitive to the nature of noises. In this paper, extended Kalman filter is applied to train recurrent wavelets neural networks for nonlinear system identification. In order to improve robustness of Kalman...
Image denoising is one of important steps in a number of image processing applications. However, available methods mainly present by conducting filter of restoration on whole observation image, resulting in many image detail information have been lost. So, how to obtain the balance of remove noises from the smooth regions and preserved more image detail at high frequency regions have still worth to...
In general, neural networks cannot match non-linear systems exactly. Neuro identifier has to include robust modification in order to guarantee Lyapunov stability. In this paper input-to-state stability approach is applied to access robust training algorithms of Fourier neural network (FoNN). It is successfully applied on modeling lettuce growth in green-house.
This paper establishes the model of remote fault detect system, using typical fault data of a type of planepsilas undercarriage braking system to implement the diagnosis. The result shows that he Ensemble Method of Remote Fault Diagnosis based on PCA and ICA and Multi-layer SOM, integrates the advantage of PCA in low noise and ICA in high noise. Multilayer SOM can classify the input data rapidly with...
Automatic target recognition in the atrocious oceanic situation is one of the most difficult areas in oceanic technology. Underwater target recognition based on oceanic sensor networks has been a brand-new research direction. This paper investigates how to use data fusion function of multi-sensor of oceanic sensor networks, and multiple sensors cooperate to fuse different characters taken by radiation...
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