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A Bayesian network optimization algorithm is proposed for the problem of combat intention identification of aerial group targets. The external characteristics of the data link of the targets group are extracted as the network nodes. Then the initial Bayesian network model is established with the network nodes and conditional probability tables. Simulating to get the sample data set, and evaluation...
In allusion to the communication security problem of measurement and control data on unmanned platform, a reverse analysis model of measurement and control protocol is proposed. The model adopts the data mining method to analyze the protocol format and semantic information in the message. Mainly adopts the improved BF algorithm and the AP algorithm to carry on the pattern string matching and the association...
Aiming at the reverse problem of UAV communication, a reverse method matching known part of priority is presented. First, excavating the frequent items of UAV communication message, to find out the fixed part of the UAV communication protocol format, Then excavating the relationship between UAV flight data detected by radar station and UAV communication data, to find one of the part of the protocol...
Traditional High-speed train fault diagnosis methods only simply considers characters of a certain single domain to conduct information fusion. Aimed at improving that, a new approach to discriminate the fault type is brought forward, using dual-channel multiple domain information entropy to analysis the vibration signals of the high-speed train bogie. In the model based on dual-channel information...
An electric power dedicated broadband wireless network traffic load capacity test and evaluation method is designed, which will be used for the performance test and evaluation of grid wireless communication network. This method can be used in the actual broadband wireless communication network, to count and analyze the data goodhput, delay, packet loss rate, and retransmission rate performance of...
In this paper we examine issues of deploying a camera network in a complex environment with obstacles. A camera network is composed of a distributed collection of cameras, each of which has sensing and communicating capabilities. To deploy such camera network, we present a kinetics based particle swarm optimization (PSO) approach. By introducing a kinetics-constraint factor to standard PSO, the fields...
The paper proposes a plan of the distribution network communication test system based on MCWILL system, and realizes the design of business communication simulation module and carries capacity test module. A power communication business test system is successfully designed.The system introduces the concept of business success rate, which is used to evaluate the overall performance of the network,...
Detection of moving objects in surveillance video is the first relevant step of information extraction for many applications such as tracking and recognition. We present a new algorithm for the purpose of robust foreground detection using a statistical representation of the scene background. The weighted kernel density estimation is applied for each pixel by the analysis of temporal distribution in...
A updating method of the structure static model based on the neural network is introduced. It specifies the application of the neural network algorithm in the revision of the static finite element model. It adopts the method of numerical simulation static load experiment to build a BP network model, which a complex non-linear relationship exists between the physical parameters and boundary conditions...
An experiment was performed to examine the physical and chemical effects on high salt-affected soil following the incorporation with four kinds of organic wastes (poultry manure, commercially available fertilizer, reed straw, fresh reed straw with green leaves). Organic wastes were applied at rates of 15g/kg. The effect on the soils physical and chemical properties, soil soluble organic carbon were...
An automatic, adaptive, spectrogram-based algorithm for picking the arrival time of microseismic data is proposed. The algorithm provides a significant improvement in the ratio of detected events to false triggers and in the resolution of the microseismic structure. It mainly addresses the problem of automatic picking when the signal-to-noise ratio (S/N) is low and so false and missed triggers frequently...
A new idea of interval quartering algorithm was proposed to improve the insufficiency of the conventional singular spectrum analysis iterative interpolation on parameter selection (including the number K of principal component and the embedding dimension M), and the applied test and comparative analysis recovery was carried out to the missing data. The experimental results showed that the improved...
In this paper, we present a novel color image interpolation filter for removing salt & pepper impulse noise. Maximum-minimum noise detector and adaptive corrupted degree method are combined to identify pixels which are likely to be corrupted by noise. Then the image is restored by an iterated interpolation estimation method which repairs each noise pixel using its neighbors. Simulation is done...
Feature extraction is the crucial technology to deinterleave and recognize the new system radar emitter signals. In this paper, a novel time-frequency atom feature extraction approach is presented. Based on the over-complete multiscale dictionary of Gaussian Chirplet atoms, adopting match pursuit (MP) to decompose signals and the improved quantum genetic algorithm (IQGA) to reduce the search time...
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