4 research outputs found

    Neural Network and Wavelet Transform For Classification and Object Detection

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    Abstract: The practical utilization of object detection and classification, in hig

    Network Traffic Deviation Detection Based on Fractal Dimension

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    In this paper we examine aggregate network traffic for deviation detection. The precise and fast detection of network traffic deviation is crucial to improve the efficient operation of a network. It is often difficult to detect the time when the defects occur in a network. In this article, a new algorithm is bestowed to supervise the aggregate network traffic to fast detect the time deviation transpires in a network. This is performed by supervising the statistical attributes of the time series depicting the network conduct. The procedure examines the network conduct using fractal dimension and discrete stationary wavelet transform. In the suggested procedure, after implementing discrete stationary wavelet transform on the signal depicting the network traffic, the fractal dimension of the disintegrated signal is computed in a sliding window. Then, variations of signal fractal dimension are regarded for deviation detection. Performance of the suggested procedure is compared with that of three other existent procedures using artificial substance signal .The results show superiority of the suggested procedure in terms of preciseness compared to existent procedures

    H 2 /H ∞ Controller Design for Singular Perturbation Systems

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    Abstract: In this paper the synthesis of logic-based switching H 2 /H ∞ state-feedback controller for singular perturbation systems is considered that achieves a minimum bound on the H 2 performance level, while satisfying the prescribed H ∞ performance. The proposed hybrid control scheme is based on a fuzzy supervisor which manages the combination of two controllers. A convex LMI-based formulation of the two fast and slow subsystem controllers leads to a structure that ensures a good performance in both the transient and the steady state phase. It is shown that the system with the proposed controller remains globally stable despite the configuration (controller) changing
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