Topological structure is an important part of the design of network on chip systems. The majority of current NoC architectures employ mesh topology, but at some practical application, NoC systems often integrate a num...
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This paper discusses the second-order local consensus problem for multi-agent systems with nonlinear dynamics over dynamically switching random directed networks. By applying the orthogonal decomposition method, the s...
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A novel alive entropy-based detection approach was proposed, which detects the abnormal network traffic based on the values of alive entropies. The alive entropies calculated based on the NetFlow data coming from the ...
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A novel alive entropy-based detection approach was proposed, which detects the abnormal network traffic based on the values of alive entropies. The alive entropies calculated based on the NetFlow data coming from the network traffic of input and output of a whole system, which is essentially a monitored network. In order to decrease false positive rate of abnormal network traffic, different scales are selected to compute the values of alive entropies in different sizes of network traffic. With the low false positive rate of abnormal network traffic, the abnormal network traffic can be effectively detected. Experiments carried out on a real campus network were used to evaluate the effectiveness of the proposed approach. A comparative study illustrates that the proposed approach may easily detect the abnormal network traffic with random characteristics in comparison with some "conventional" approaches reported in the literatures.
In this paper, we propose a deep packet inspection system based on the MapReduce. The MapReduce which is a parallel distributed programming model developed by Google applies the technology of deep packet inspection. N...
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In this paper we introduced a unidirectional joint with adjustable stiffness (UJAS) for legged robot applications. It allowed the robotic leg to change dynamic property by tuning joint parameters. The joint was design...
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ISBN:
(纸本)9781479927456
In this paper we introduced a unidirectional joint with adjustable stiffness (UJAS) for legged robot applications. It allowed the robotic leg to change dynamic property by tuning joint parameters. The joint was designed to provide large compliant motion range and sufficient energy storage capacity for passive gaits. In order to avoid undesired leg vibration during flying phase we brought about the unidirectional design with mechanical stops. Rotational stiffness output and the neutral position could be controlled independently allowing different leg configurations and dynamic features. The joint design was based on lever mechanism with torsion springs providing necessary compliant. It is experimentally tested that the joint design could provide different stiffness output characters and it has the potential to be used in legged robotic systems.
UHF-band radar, which is widely used in early warning, has the unique advantage on target detection. However it can be seriously interfered by the GSM base station with the same frequency channel in practical applicat...
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The polarization of radar antenna vary with scan direction. This phenomenon is called Spatial Polarization Characteristic (SPC) of antenna. Based on the SPC of single polarized antenna, a novel polarization estimation...
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The polarization of radar antenna vary with scan direction. This phenomenon is called Spatial Polarization Characteristic (SPC) of antenna. Based on the SPC of single polarized antenna, a novel polarization estimation...
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To reveal the change law of the simulation error of grey model GM(1,1) with translation transformation applying on the original sequence, in this paper, the experiments based on 55 real world data sequences have been ...
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The optimal multiple linear constraint minimal variance (LCMV) beamformer is presented under multiple desired signals case. The theoretical solutions of the optimal weighted vector and maximum signal-to-interference-p...
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ISBN:
(纸本)9781849196031
The optimal multiple linear constraint minimal variance (LCMV) beamformer is presented under multiple desired signals case. The theoretical solutions of the optimal weighted vector and maximum signal-to-interference-plus-noise-ratio (SINR) are derived by using variable substitution method. Simulation results show that the algorithm is superior to the traditional LCMV approach in the SINR, computational load and applicability. The algorithm can be applied in the area of radar tracking of low-angle targets and polarization radar signal processing.
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