基于HHM-RFRM的实弹发射风险分析研究

实弹发射是复杂的系统性军事训练活动,在实施前要对其进行风险评估,实施的全过程中要进行风险管理,首要工作是运用科学方法进行风险分析。本文运用系统工程的思想,针对实弹发射这一复杂系统活动,识别得到环境、交通、技术、管理、人员、任务、装备、保障和通信这9类风险情景,进一步分析建立了实弹发射风险等级全息模型（HHM）。在此基础上,运用风险过滤、评级与管理框架（RFRM）,通过初步情景过滤、双重标准过滤、多重标准过滤、主要风险情景的定量评级等步骤对以上风险情景进行过滤分析,得到了环境因素、装备因素和管理因素这3种最重要的风险因素。通过综合运用HHM和RFRM方法分析出的风险因素,能够为决策者进行有针对性的风险评估和风险管理提供一定理论支持。     

Force chains based mesoscale simulation on the dynamic response of Al-PTFE granular composites

Force chains based mesoscale simulation is conducted to investigate the response behavior of aluminum-polytetrafluoroethylene (Al-PTFE) granular composites under a low-velocity impact. A two-dimensional model followed the randomly normal distribution of real Al particles size is developed. The dynamic compressive process of Al-PTFE composites with varied Al mass fraction is simulated and validated against the experiments. The results indicate that, force chains behavior governed by the number and the size of agglomerated Al particles, significantly affects the impact response of the material. The failure mode of the material evolves from shear failure of matrix to debonding failure of particles with increasing density. A high crack area of the material is critical mechanism to arouse the initiation re-action. The damage maintained by force chains during large plastic strain builds up more local stresses concentration to enhance a possible reaction performance. In addition, simulation is performed with identical mass fraction but various Al size distribution to explore the effects of size centralization and dispersion on the mechanical properties of materials. It is found that smaller sized Al particle of com-posites are more preferred than its bulky material in ultimate strength. Increasing dispersed degree is facilitated to create stable force chains in samples with comparable particle number. The simulation studies provide further insights into the plastic deformation, failure mechanism, and possible energy release capacity for Al-PTFE composites, which is helpful for further design and application of reactive materials.     

A novel DOA estimation algorithm using directional antennas in cylindrical conformal arrays

In this paper, a novel direction of arrival (DOA) estimation algorithm using directional antennas in cy-lindrical conformal arrays (CCAs) is proposed. To eliminate the shadow effect, we divide the CCAs into several subarrays to obtain the complete output vector. Considering the anisotropic radiation pattern of a CCA, which cannot be separated from the manifold matrix, an improved interpolation method is investigated to transform the directional subarray into omnidirectional virtual nested arrays without non-orthogonal perturbation on the noise vector. Then, the cross-correlation matrix (CCM) of the sub-arrays is used to generate the consecutive co-arrays without redundant elements and eliminate the noise vector. Finally, the full-rank equivalent covariance matrix is constructed using the output of co-arrays, and the unitary estimation of the signal parameters via rotational invariance techniques (ESPRIT) is performed on the equivalent covariance matrix to estimate the DOAs with low computational complexity. Numerical simulations verify the superior performance of the proposed algorithm, especially under a low signal-to-noise ratio (SNR) environment.     

Repeater jamming suppression method for pulse Doppler fuze based on identity recognition and chaotic encryption

Pulse Doppler (PD) fuze is widely used in current battlefield. However, with the threat of repeater jamming, especially digital radio frequency memory technology, the deficiency in the anti-repeater jamming of a traditional PD fuze increasingly emerges. Therefore, a repeater jamming suppression method for a PD fuze based on identity (ID) recognition and chaotic encryption is proposed. Every fuze has its own ID which is encrypted with different chaotic binary sequences in every pulse period of the transmitted signal. The thumbtack-shaped ambiguity function shows a good resolution and distance cut-off characteristic. The ability of anti-repeater jamming is emphatically analyzed, and the results at different signal-to-noise ratio (SNR) show a strong anti-repeater jamming ability and range resolution that the proposed method possesses. Furthermore, the anti-repeater jamming ability is influenced by processing gain, bit error rate (BER) and correlation function. The simulation result validates the theo-retical analysis, it shows the proposed method can significantly improve the anti-repeater jamming ability of a PD fuze.     

加强军队全面建设是党执政的一项重大战略任务--学习《中共中央关于加强党的执政能力建设的决定》

<中共中央关于加强党的执政能力建设的决定>指出,坚持国防建设与经济建设协调发展,建设一支现代化、正规化的革命军队,是党执政的一项重大战略任务.坚持党对军队的绝对领导,加强军队全面建设,既是对我们党取得执政经验的科学总结,又是巩固我们党执政地位的现实保障,同时,加强军队全面建设对提高我们党的执政能力还具有服务和促进的功能.     

基于专家系统的防化保障预案评估研究

人工智能技术在众多领域获得广泛应用．为满足现代战争对防化指挥手段的现代化要求,针对不易量化的防化指挥决策问题的评估,提出了构建知识库并应用模糊推理机制建立专家系统,据此进行防化保障预案的评估选优方法,并对该方法的求解过程进行了探讨．     

路易氏剂衍生物的气相色谱-质谱研究

用一种单巯基化合物1-巯基丙烷和三种双巯基化合物1,3-二巯基丙烷、2,3-二巯基丙醇、3,4-二巯基甲苯经亲核取代反应将路易氏剂衍生为挥发性较好的二硫砷化合物,用GC-MS鉴定了这些化合物的结构,并讨论了分子离子的碎裂方式及个别碎片的来源．     

直接免疫PCR方法的建立

免疫PCR基本原理与ELISA相似,即用一段可扩增的DNA分子代替ELISA中酶放大检出信号,建立了直接免疫PCR的检测蓖麻毒素技术,实验结果表明,其灵敏度达1pg／ml,比ELISA方法灵敏度高10^3倍.     

一种基于混合概率PCA模型的高光谱图像非监督分类方法

提出了一种在期望最大化(EM)算法框架下同时实现混合概率主成分分析(PPCA)降维和聚类的高光谱图像非监督分类方法。它根据不同类别应各有自己代表性的特征集,将通常意义下的特征抽取和模式分类合并在一步内完成,尽可能地保留了可分性;同时该方法具有概率模型的优点,更适合高维数据处理。采用仿真数据和真实数据进行的比较实验表明,该算法较一般不加区分地对所有原始数据进行PCA降维再分类的方法能得到更好的分类结果。     

军用“三网合一”系统的方案设计与安全性分析

分析了军用电话网、军用广播电视网和指挥自动化网的现状,明确了军用“三网合一”的目标和可行性,提出了一种适合我军战时需要的“三网合一”实现方案,着重描述了该方案的结构、组成、工作原理及网络接口设计,对该方案的安全性能及使用的关键技术进行了分析,并给出了提高系统安全性的相关措施。