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Aiming at the wireless-connection problem for the mobile monitoring system, a kind of control system of remote mobile monitoring system based on Cortex is proposed. The wireless-connecting methods of the remote mobile monitoring system based on ZigBee, GPRS and Wi-fi were investigated. The information transfer modebased on X M P P in the mobile monitoring system was discussed. Some specific applications of the remote mobile monitoring system were introduced. Practical results show that the system can mobile monitor the safety of the storeage and cargorack. [ABSTRACT FROM AUTHOR]

The RTMFP protocol of FlashP2P technique is analyzed in detail and a FlashP2P traffic recognition algorithm based on RTMFP packet detection is proposed. The algorithm is used to effectively identify the FlashP2P streams of the domestic mainstream video sites. On this basis, the characteristics of FlashP2P flow are analyzed and their self-similarity is proved. Finally, based on the empirical mode decomposition of the ARIMA, we build a model to predict the self-similar network traffic. The simulation results show that the model not only reduces the complexity of the algorithm but also has high short-term forecast accuracy. [ABSTRACT FROM AUTHOR]

Switching time of traditional dual-mode algorithms generally determined empirically, which is that when through a certain number of iterations or mean square error is reduced to a range, algorithm gets its hard switching. For this situation, this paper proposed a clustering technology based soft decision dual-mode constant modulus blind equalization algorithm. New algorithm was more practical because that it can switch automatically without affecting the convergence speed and accuracy. It firstly analysed the information of initial outputs of constellation equalization algorithm, and then obtained a rough outline of the constellation diagram according to subtractive clustering. Finally it used fuzzy C-means (FCM) clustering for secondary processing to obtain accurate information on the constellation. If the resulting constellation meets criteria, equalizer will switch to the subsequent algorithm to complete equalization, which achieved a soft switching in the algorithm. Simulation results show the effectiveness of the algorithm. [ABSTRACT FROM AUTHOR]

The more camera and video capture devises are put in use, the higher request for non-touch gesture recognition becomes. In this article, based on the 0penCV2. 2 visual library and Visual Studio C + +, the authors implement the module of extracting Haar features and multi-scales classification with Adaboost to exploit special gesture recognition to meet this trend. Using the recognition and location of clench fist gesture in real time, the authors have completed the tracking of brush track through the location of gestures, and also worked out an algorithm to decrease the errors in detected points to make the brush go smoothly. According to the experiments, under the indoor condition, the recognition rate can achieve as good as 90%. [ABSTRACT FROM AUTHOR]