Aiming at the problems of evaluation index of network malicious actions is not comprehensive enough and index weights are not determined reasonable, a model of network malicious action hazard grey clustering evaluatio...
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Aiming at the problems of evaluation index of network malicious actions is not comprehensive enough and index weights are not determined reasonable, a model of network malicious action hazard grey clustering evaluation was proposed based on game theory. The evaluation index system of malicious action hazard is built up considering the network security attributes and characteristics of attacks and the weight of evaluation index is determined by using game theory. On this basis, clustering analysis of malicious action hazard is achieved using the gray clustering and coming to the value of hazard evaluation. A representative example is provided to show that the method can effectively evaluate the malicious action hazard, as well as to make a comparison of different malicious action.
Rayleigh wave is a secondary wave characterized by low frequency and strong energy,propagating mainly along the interface of medium and rapid attenuation of energy with increase in interface *** same as reflected wave...
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Rayleigh wave is a secondary wave characterized by low frequency and strong energy,propagating mainly along the interface of medium and rapid attenuation of energy with increase in interface *** same as reflected wave and refracted wave,Rayleigh wave also contain subsurface geological *** this paper,the concept of the Rayleigh wave,wave equation,dispersion equation,the frequency bulk characteristics and the application of the actual data are used to indicate the characteristics of Rayleigh wave and its application.
A new fuzzy clustering approach is presented based on two steps:data reduction and core data aggregation in a reduced subset of original *** data reduction largely reduces number of data points in a dataset and improv...
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A new fuzzy clustering approach is presented based on two steps:data reduction and core data aggregation in a reduced subset of original *** data reduction largely reduces number of data points in a dataset and improves clustering quality based on a grid-based initialization for data space,where each grid is continuously bisected into two volumeequal smaller grids,so that a group of core points is *** clustering these core points,all cluster prototypes are *** new approach can work faster and more effective in a series of datasets compared with most of the existing fuzzy clustering approaches,effectively approximating the number of *** experiments were used to verify the usefulness of the new approach.
The aircraft magnetic field interfered the aeromagnetic precision badly, and a model compensation method is brought forward to compensating the aircraft magnetic interference. Firstly, the model of aircraft magnetic f...
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The aircraft magnetic field interfered the aeromagnetic precision badly, and a model compensation method is brought forward to compensating the aircraft magnetic interference. Firstly, the model of aircraft magnetic field is built based on Tolles-Lavvson equations, and the model calculation is analyzed. The correlation between model parameters results in the difficulty of the precisely estimation of model parameters. Consequently, an algorithm based on FIR model is studied in this paper to estimate the parameter. The simulation and analysis shows that the parameter estimating algorithm based on FIR model is effective to high-step collinear equation, and the model compensating method compensates above 90％ of aircraft magnetic interference, improving the ability of the airborne magnetic survey greatly.
Metal rubber is a new type of structure function material made of tensioned metal wires. Although it has excellent performance, it is not widely used for its complex characteristics. Previous attempts are mostly based...
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Metal rubber is a new type of structure function material made of tensioned metal wires. Although it has excellent performance, it is not widely used for its complex characteristics. Previous attempts are mostly based on mathematical model. In this paper, artificial neural network （ANN） is introduced as an alternative to mathematical model. The result from ANN showed a good agreement with the experiment data. Now ANNs have been successfully used in our process of design and are helpful to reduce the cost.
Abundant test data are required in assessment of weapon *** weapon test data are insufficient,Bayesian analyses in small sample circumstance should be considered and the test data should be provided by *** several Bay...
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Abundant test data are required in assessment of weapon *** weapon test data are insufficient,Bayesian analyses in small sample circumstance should be considered and the test data should be provided by *** several Bayesian approaches are discussed and some limitations are *** improvement is put forward after limitations of Bayesian approaches available are analyzed and t he improved approach is applied to assessment of some new weapon performance.
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