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Network anomaly detection is an important issue in network security. Detecting network anomaly is a challenging because of the multivariate property of the collected data, the diversity of the causes and the complexity of the existing algorithms. However, traditional methods have some shortcomings, such as low real-time capability, great resource consumption, high false positive rate (FPR) and high...
Gait recognition is of increasing interest recently. A gait recognition method using the temporal information of leg angles is proposed, based on the fact that changes of leg angles can reflect main trait of a man's moving. First the pendulum model is referred to for extracting leg parts, and least-square method is used for boundary fitting, to obtain the temporal information of angle about thigh...
An accurate friction model is necessary for friction compensation in radar servo systems or industrial robots. In order to obtain an accurate friction model, a method of friction modelling is proposed, based on support vector regression machines (SVRM) and real genetic algorithms (RGA). Three optimization problem formulations are proposed to realize the automatic optimal parameter selection of SVMR...
The coupled computational intelligence, in term of genetic algorithms and artificial neural networks, with the time-domain solver for design of the microwave devices is presented in this paper, where the coupled genetic algorithms with the time-domain solver is used for optimization and the artificial neural networks is used to surrogate the time-domain solver in design of the microwave components...
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