俄罗斯总参军事学院的发展沿革与地位作用

俄罗斯总参军事学院,全称为俄联邦武装力量总参谋部军事学院,是俄罗斯的最高军事学府,自1832年创建以来,长期担负为俄军培养高级军官的任务,被誉为俄罗斯"高级军事干部的熔炉".冷战结束后,该学院除继续为全军培养高级军事人才外,还作为俄罗斯军事学术研究中心,引领并推动俄军的军事学术创新,代表了俄罗斯军事学术研究的最高水平.     

切实增强思想政治教育的针对性实效性

切实增强思想政治教育的针对性实效性,一要着眼解决问题,使思想政治教育贴近实际富有实效;二要狠抓旅团教育准备会、指导员备课、班排讨论三个环节,下功夫提高教育质量;三要改进方法拓宽路子,增强教育的时效性覆盖面;四要加强统筹管理,确保教育组织实施规范有序。     

对两种中制导方法的性能研究

现在已应用的中制导技术包括惯性中制导和半主动中制导,文中先简介了几种有代表性的复合制导空空导弹的发展情况和其中制导方法,然后,从实际应用的角度对这两种中制导剂方法进行了比较详细的分析研究和比较,最后讨论了采用这两种中制导的导弹对飞机及火控系统的影响。     

用有限元法优化高射机枪结构设计

以某高射机枪为研究对象,采用有限元法对该枪进行建模,并用实验研究的结果检验和修改了理论模型。计算了该枪的结构动态特性和枪口动力响应,从改善射击精度的角度出发,通过对若干结构修改方案的模拟计算,提出了该枪结构修改的参考意见。     

机器人仿真系统中动态图形的快速生成和处理

本文提出一种用于三维动态图形快速生成与处理的算法,能适应机器人实时仿真的要求。算法包括几何体定义、变换、隐藏线消除和动画技术等内容。本算法使用Turbo-Pascal语言在IBM-PC机上运行通过。     

单片微机应用系统功能模拟的研究

本文研究了一个在 PC 机上运行的模拟系统,可以用来对一般的单片微机应用系统进行功能模拟和时序分析,具有以下两个特点:(1)系统模拟;(2)软、硬件同时模拟。本文介绍了模拟系统的基本组成,讨论了元件模型的建立,并给出了相应的模拟算法。     

基于实体的指挥控制仿真建模

指挥控制是军队遂行军事任务的关键环节,对指挥控制过程进行建模并采用仿真的方法对其效能进行评估,进而考察指挥控制系统的典型效能指标是否符合预期的需求,具有重要的理论和应用意义。采用基于实体的仿真建模方法,提出指挥控制过程的实体仿真建模框架,以信息流为重点,从信息获取、信息融合、信息共享、自身任务规划、作战筹划、部队掌控、任务执行和信息输出等八个方面对其进行建模,实现了对指挥控制过程的描述,有效支撑了指挥控制系统仿真效能评估。     

基于两种模型的燃气轮机级内流场数值模拟的分析比较

借助Fluent软件,采用混合平面模型和滑移网格模型分别对某船用增压锅炉燃气轮机级内流场进行了数值模拟(CFD)分析,并对比了两种模型条件下燃气轮机级出口参数的变化规律.对比分析结果表明:非定常干扰因素主要来自动静叶片排间的相对运动和每个叶片排流场周向非均匀性引起的非定常流动,动静叶栅之间的非定常干扰因素是导致级出口参数不同于定常情况下的根本原因,从而进一步揭示了燃气轮机级内流动具有固有非定常性的物理本质.     

A novel signal feature extraction technology based on empirical wavelet transform and reverse dispersion entropy

Feature extraction is an important part of signal processing, which is significant for signal detection, classification, and recognition. The nonlinear dynamic analysis method can extract the nonlinear characteristics of signals and is widely used in different fields. Reverse dispersion entropy (RDE) proposed by us recently, as a nonlinear dynamic analysis method, has the advantages of fast computing speed and strong anti-noise ability, which is more suitable for measuring the complexity of signal than traditional permutation entropy (PE) and dispersion entropy (DE). Empirical wavelet transform (EWT), based on the theory of wavelet analysis, can decompose a complex non-stationary signal into a number of empirical wavelet functions (EWFs) with compact support set spectrum, which has better decomposition performance than empirical mode decomposition (EMD) and its improved algorithms. Considering the advantages of RDE and EWT, on the one hand, we introduce EWT into the field of underwater acoustic signal processing and fault diagnosis to improve the signal decomposition accuracy; on the other hand, we use RDE as the features of EWFs to improve the signal separability and stability. Finally, we propose a novel signal feature extraction technology based on EWT and RDE in this paper. Experimental results show that the proposed feature extraction technology can effectively extract the complexity features of actual signals. Moreover, it also has higher distinguishing ability for different types of signals than five latest feature extraction technologies.     

Research progress on advanced rail materials for electromagnetic railgun technology

Electromagnetic railgun attracts more and more attention due to its advantage in speed,cost,and obscurity.It is found that the rail should withstand huge mechanical and thermal shocks during the launching operation.The forms of rail failure are accompanied by gouge,grooving,transition,and arc ablation,etc.The service life of the rail has become a bottleneck restricting the development of elec-tromagnetic railgun technology.A series of researches are carried out to solve rail failure,including analysing the failure mechanism and using various advanced rail materials.This paper provides a comprehensive review of rail materials,including material composition,preparation,microstructure,and properties.We begin from a short background of the requirement of the rail material.Then a detailed investigation of rail materials is described,and the performances of those materials are introduced.Finally,further development prospect of rail material is discussed.