Advanced Materials Research Vols. 403-408

Abstract: The paper open the way to the assisted choose of the optimal neural network. There are shown some important neurons type, transfer functions, weights and biases of neurons, and some complex layers with different type of neurons in a static and dynamic networks. By using the proper virtual LabVIEW instrumentation were established some influences of the network parameters to the number of iterations till canceled the mean square error to the target. Were presented the simulation of some different neural network types like linear, sigmoid, sigmoid bipolar and radial. For some of more important, were presented the complex mathematical models and numerical simulation using the proper teaching law.

Abstract: Radio broadcasting technology in this era of compact disc is expected to deliver high quality audio programmes in mobile environment. The Eureka-147 Digital Audio Broadcasting (DAB) system with coded OFDM technology accomplish this demand by making receivers highly robust against effects of multipath fading environment. In this paper, we have analyzed the performance of DAB system conforming to the parameters established by the ETSI (EN 300 401) using time and frequency interleaving, concatenated Bose-Chaudhuri-Hocquenghem coding and convolutional coding method in different transmission channels. The results show that concatenated channel coding improves the system performance compared to convolutional coding.

Abstract: Many authors have been found the difference between Fourier Transform & Laplace Transform. In this paper we are highlighting the major or you can say interesting difference between Fourier Transform & Laplace Transform . If we look on the step signal , we will found that there will be interesting difference among these two transforms. In this paper we are giving the interesting reason behind this.

Abstract: In an increasingly noisy society, methods of reducing noise are becoming more important. Filtering has the great importance in the field of the biomedical signal processing. In many applications of signal processing it is desired to remove sinusoidal interferences while leaving the broadband signal unchanged. Examples are in the areas of communication, control, biomedical engineering and others. A typical one is to cancel 60 Hz power line interference in the recording of electrocardiogram (ECG). Usually this task can be achieved by the notch filters characterized by a unit gain at all frequencies except at the sinusoidal frequencies in which their gain is zero .To eliminate one narrow band of frequencies one uses a so-called "notch" filter (named for the fact that it makes a notch in the frequency spectrum).In this paper we have given a notch filter of cost Rs 200. (4 USD approx.) that’s why it will be very beneficial for developing countries.

Abstract: The various random noises in MEMS gyro are the main factor affecting the accuracy. In accordance with the property of its noise, traditional filtering has many shortages. If so, a simplified Sage-Husa adaptive filter algorithm is discussed. The algorithm can estimate the system process noise accurately when observation noise is known. The paper sets up ARMA model of MEMS gyro random error and processes the drift data by the filtering. The result shows that the random noise is reduce by 70％ .

Abstract: Within the framework of the quantum phase-space representation established by Torres-Vega and Frederick, the rigorous solutions of repulsive nonlinear Schrödinger equation are solved, which models the dilute-gas Bose-Einstein condensate. The eigenfunctions in position and momentum spaces can be obtained through the “Fourier-like” projection transformation from the phase-space eigenfunctions. It shows that the wave-mechanics method in the phase-space representation could be extended to the nonlinear Schrödinger equations. The research provides the foundation for the approximate calculation in future.

Abstract: The dynamic model of the single-degree-of–freedom (SDOF) mass-spring system with friction is established, based on the Lugre friction model. An observer-based model reference adaptive controller (MRAC) is proposed. By Lyapunov method, it is proved that the closed-loop system is asymptotically stable and the displacement as well as the velocity tracking errors can converge to zeros. Simulation work is carried out in both frequency and time domain. The results show that the proposed controller can greatly attenuate the response of the system significantly for both harmonic and random excitations.

Abstract: Zigbee has been considered as a promising standard for wireless sensor networks. There are two recovery mechanisms when node is orphaned. Although an orphan realignment mechanism is provided in Zigbee, it is only suitable for orphaned node associating with the coordinator which has 64-bit physical address of the orphaned node, and not suitable for beacon enabled network. And the re-association mechanism is time consuming because there is a long delay for channel scan before association. In this paper, we propose a fast re-association scheme for beacon enabled network based on Zigbee, in which the passive channel scan is not needed before association. Orphaned node selects the coordinator which has the highest estimation value. Because the channel scan is not needed, the re-association delay could be reduced greatly.

Abstract: utomobile tire is an important component of the vehicle. Its quality is directly related to the operation of vehicle performance and safety performance. Tire marks printed correctly can ensure the tire used properly. Compared with current recognized by artificial, Recognized automatically by computer can significantly improve the detection efficiency of tire mark. This paper discussed the research on pretreatment of the tire mark image. The direction of the scan of the text area is along the radius of the circle and circumference of tire. This method also conducted gamma correction, histogram equalization, binary and other pretreatments about the collected tire images. It can effectively remove the ground noise, optimize the text area, and lay a solid foundation for further recognition processing.

Abstract: Fast marching method is an accurate, extremely fast numerical technique in analyzing and computing moving fronts which can develop sharp corners and change topology. We successfully accomplish this method in two dimensions and the two-dimensional lithography process simulation of SU 8 photoresists has been implemented. The obtained results indicate that the fast marching method can actually accelerate the simulation and be used as an effective method for thick photoresist lithography process simulations.