Equipment support force configuration has a direct influence on the time-effective of equipment force,as an important part of equipment command decision.This paper analyzes the characteristics of equipment support force configuration under the conditions of informationization,and concludes the four criteria of the equipment support force configuration problem and locates the problem rationally.Then,we make the network location optimized model of the equipment support force configuration problem.Finally,we use the genetic algorithm to solve the optimized model.Experimental results reflect that the method proposed by this paper has good operation,and can provide the quantized,structurized decision method for solving the configuration problem.It has a good value of military application.

The database of the existing ordnance equipment simulation training system is multiple.Its data format and service offered are also different,bringing about information passing different department difficultly.It's difficult to improve the equipment supporting between dispersive systems.This paper introduces a data integration patterns-data integration based on the data warehouse.Using the data integration model that can mask a variety of heterogeneous data stored in different databases,to solve simulated training sub-systems data sharing and exchange of issues,to achieve interoperability of data between the subsystems,security simulation training system for the realization of integrated data protection.

The Decision supported System(DSS) is developing towrads intelligence,for improving the intelligence of the model base system(MBS),the paper blends the Agent intelligence into the model base,persents a scheme of MBS based on Agent.The paper mainly studies the technology of model representation and model composite based on BDI Agent,the scheme of MBS based on Agent and the Agent model prototypes,it elaborates the working principle of each functional component of MBS,and empolders a model base prototype based on JADE platform.It's proved that the MBS based on Agent can solved the model representation,model composite and model selection questions well,the MBS based on Agent have more intelligence than before.

This paper analyzes the operation flow of equipment maintenance support command system(EMSCS) as viewed from the object-oriented,establishes the object-oriented workflow model of EMSCS.On the basis of this,this paper makes the OOCPN analytical model of EMSCS,provides the quantized analyzing method for evaluating the system running efficiency.The method reduces the complexity and improves the efficiency of EMSCS modeling.At the same time,it can also satisfy the open,hierarchy and dynamic regroup of EMSCS,has high applying value.

Troops disposition of army anti-aircraft missile unit is the foundation in anti-aircraft campaign,including position selecting and distributing.Aiming at the problem that impersonal condition and subjective decision-making is well both concerned,analyzing interrelated factors which influence position selecting and distributing.Then confirm index system of position selecting and distributing,and design a method to choose position which combine grey comprehensive relationship and improved analytical hierarchy process.Besides,Aiming at the problem that assigning position model lacking dynamic and mobile,fuzzy mathematics is used in modeling position selecting,and solve the model with genetic algorithm of bee dual population evolution.The method can combine objective analysis with quantitative analysis effectively and with its simple model,which provides a good way for troops disposition.

针对以往防空作战中目标分配模型精度差、求解方法效率低的问题,建立了基于射击综合优势和目标威胁度的目标分配数学模型,其中目标威胁度评估综合运用了灰色综合关联度和改进的层次分析法,提高了结果的精度。并且采用改进的混沌蜜蜂双种群进化遗传算法对该模型进行了求解,改进的地方主要有:采用轮盘赌选择与最优保存策略相结合的选择操作,采用了算术交叉方法等。实验结果表明,应用文中的遗传算法求解防空导弹作战中目标分配问题,与传统算法相比,无论是在优化性能还是在时间性能上,都具有更好的效果。

Aiming at the steganography images with additive noise in block-DCT domain,a new attack removal algorithm for steganography image based on HMT(Hiding Markov Tree) model is proposed.After analytical studying the structure of the HMT model and the characteristics of the DWT(discrete wavelet transform) domain and block-DCT domain coefficients,the HMT model is constructed,it can exactly depict the statistical characteristic of image block-DCT and convert the problem of removing secret information from steganography images to the constrained optimisation task.Emulation experimental results based on Matlab7.0 show that the image quality(PNSR and subjective visual effect) after removal of the secret information is superior to traditional de-noising methods.

Aiming at the shortcoming that spread spectrum steganography breaks image local stationarity,this paper presents a detection algorithm for spread spectrum steganography based on wavelet singularity analysis.It extracts 8 dimension feature vector as the input vector of Fisher classifier by analyzing the changes of wavelet coefficients modulus maximum on different scales of images to be detected,and uses a mass of samples to train Fisher classifier.The detection and attacking experimental results prove that the average detection rate of the algorithm is more than 80%,and it can detect the spectrum range in which the secret message is hidden and implement effective attack,which lays the foundation for extracting the stego message.

A new universal steganography detection algorithm based on Markov Chain(MC) theory is brought forward in this pa-per.This algorithm constructs Markov chain according to image neighborhood dependency,and captures diagonal elements from its empirical transition matrix as feature vector,and constructs a new discrimination function to detect whether the digital image is stego(hidden message) or not.Aiming at steganography based on global LSB,global DCT and global DWT,authors make detection experiment on the Matlab7.0 platform.According to experimental results authors improve on the algorithm further and make effect of detection better.Experimental results prove that the algorithm has better performances than the generic algorithms.

采用欧陆590调速器改造退火小拉线机收线装置调速系统,重点是张力控制的应用。阐述调速原理,介绍调速器主要接线端,以及参数设定意义和步骤。

Aiming at steganography of the block-DCT domain,a new blind steganalysis algorithm based on Markov Chain Model(MCM) is proposed.This algorithm analizes and researches the distribution characteristic and the statistical features of the DCT coefficients,the Hiding Markov Tree(HMT) model is applied to generate the estimated cover images,and a two-order Markov empirical transition matrix model is built to capture both inter-block and intra-block dependencies between the block-DCT coefficients.And then,the diagonal elements are extracted from its empirical transition matrix as eigenvectors of the images,and the angle of the eigenvectors is constructed for detection the present or not of secrete messages in the digital images without knowledge of the original cover images.At the end,it takes an example to illustrate both the reliability and general performances of the algorithm is superior to the general detection algorithm.

A new optimized algorithm for feature extraction based on GGD model of wavelet coefficients is brought forward.Analyzes time-frequency domain character of the PDF of wavelet coefficients and chooses to extract the higher-order statistical moments from the frequency domain.For discriminating the differences between cover image and stego image,improve the weighed function and it makes the effect of extraction better.Besides that,analyzes how to select the order of higher-order moments and hierarchy of wavelet subband.Finally,make emulational experiment on the Matlab7.0 platform,experiment results prove that the extraction algorithm has better performances than the congeneric algorithms.

Aiming at the steganographic model with the additive noise in the block-DCT(Discrete Cosine Transform)domain,a new blind steganalysis algorithm based on the Singular Value Decomposition(SVD)techniques was proposed.A new mathematical model was constructed,accounting for inter and intra-block correlations of the DCT coefficients.Using the SVD technology,the features of the images were extracted,and the eigenvector was built.The discrimination function was presented for detection the secret messages of the digital images without knowledge of original cover images.The experimental results show that the reliability rate of the detection is 90%,and its general performance is superior to that of the general detection algorithm.