面向控制的电控单体泵柴油机仿真

为拓宽电控单元硬件在环仿真应用范围,进行了电控单体泵柴油机建模仿真。提出了面向控制的电控柴油机建模的要求和模型选择,在Matlab/Simulink中,建立了柴油机简化非线性模型以及电控单体泵系统模型,模型验证表明所建的柴油机模型具有较好的准确性;以计算时间和计算参数为衡量指标,分析和对比了不同的计算步长和计算方法对模型计算结果的影响;进行了实例模型应用试验,结果表明模型能实时准确地满足ECU硬件在环仿真要求。     

外军两栖车辆水上推进装置的分类及评价

给出了当今外军典型两栖车辆的主要性能指标,对水上推进装置进行了分类,定性分析了各种水上推进装置的工作原理及主要影响因素,给出了FT-C牵引车模型的试验结果.通过对水上推进装置产生的推力和两栖车辆水上行驶的阻力分析,得出了有价值的结论.最后根据实际需求对履带划水式、喷水式、螺旋桨式3种水上推进装置进行了综合评估,其结论对新型两栖车辆的论证、研究具有借鉴作用.     

一种联机手写汉字识别方法

本文给出了一种基于动态汉字基元获取笔段有序序列的联机手写汉字识别方法。该方法对汉字书写笔顺无任何限制,对手写汉字变形有很好的适应能力。经测试,基于本方法研制的联机手写汉字识别系统的识别率为９７．１％．     

引信电子部件ESD效应和加固实验研究

利用静电放电模拟器对某电子时间引信的电子部件的损伤及其防护加固进行了实验研究。引信部件在ESD的作用下,储存的信息会改变;当ESD的电压进一步升高时,引信中的电子部件出现损坏,其损伤阈值为＋200V．采取加固措施后,系统抗ESD的电压提高了2～3倍,达到了预期的目的。     

A Nonlinear Model of Military Expenditure Convergence: Evidence From Estar Nonlinear Unit Root Test

The paper builds a model to empirically test military expenditure convergence in a nonlinear set up. We assert that country A chooses a military strategy of catching up with the military expenditure of its rivals, subject to public spending constraints on public investments, including health and education, leading to decrease in long-term economic welfare. This implies nonlinear convergence path: only when the military expenditure gap between countries reaches the threshold level, will it provide incentives to catch up with rival’s military expenditures. We test this nonlinear catching up hypothesis for 37 countries spanning from 1988 to 2012. Results from individual nonlinear cross-sectionally augmented Dickey–Fuller (NCADF) regression indicate that 53% of countries converge to world’s average military expenditure: where 39% of countries converge to Germany; 33% of countries converge to China; 22% of countries converge to the USA, and 11% of countries converge to Russia. Interestingly, USA does not exhibit nonlinear military expenditure convergence toward world’s average level. For panel NCADF regression, the result suggests that on average, there is evidence for countries converging to USA’s military expenditure at 10% significance level. For the convergence to the world’s average, the statistical significance is at the 1% significance level.     

维和警察防暴队迎战原则探析

维和警察防暴队在海地任务区遇到很多实际问题。在执勤执法中灵活运用迎战原则,探讨维和警察防暴队迎战原则的法律依据、行动授权和执行程序,总结在任务区复杂多变的情况下维和警察防暴队如何依托国际法规,合理运用迎战原则,有效使用武力授权,合法利用武器装备,严格遵守执行程序的措施和方法,对于完成维和任务具有一定的指导作用。     

The rising unit cost of defence equipment — The reasons and the results

This paper constructs a conceptual model for the selection of defence equipment providing best value for money. It then shows how the unit cost of the chosen equipment increases between one generation of equipment and its successor because of developments in the perceived threat, the available technology and industrial productivity, and demonstrates that unit cost increases can arise from a logical and rational procurement policy and are not necessarily caused by technological chimeras and military vainglory. The resulting persistent rise in unit cost is unlikely to be significantly slowed by any of the counter‐measures yet proposed.

The paper then discusses the policies which nations have adopted to accommodate past increases in unit cost, and the options which confront any nation at the point when it can no longer afford to re‐equip a particular element of its armed forces.     

海拔高度对发动机泵机组性能的影响

介绍250型泵机组基本参数,详细阐述该型发动机泵机组的动力传递关系,应用FST2E型测试台架开展泵机组发动机高原效能模拟试验,获取发动机在不同海拔高度的功率、燃油消耗率和油耗量数据,拟合生成发动机负荷特性曲线。定量分析不同海拔高度发动机功率下降对离心泵体积流量、效率、扬程等的影响,得出泵机组体积流量、扬程、效率的下降规律。研究结果可为现有泵机组的使用及新型泵机组的研制提供理论依据和数据参考。     

两栖装甲分队突击上陆速度模型分析

建立了两栖装甲分队突击上陆阶段的Lanchester模型,得出了关联上陆速度的任意时刻双方剩余战斗力公式,进而通过对临界速度和条件临界速度的分析,引出了上陆阶段对两栖装甲分队突击上陆速度的要求.     

EEMD+BiGRU组合模型在短时交通流量预测中的应用

针对城市交通流随机波动性强、数据中含噪声多导致预测精度下降的问题,提出一种基于集合经验模态分解(ensemble empirical mode decomposition,EEMD)和双向门控循环单元(bidirectional gated recurrent unit,BiGRU)的组合交通流量预测模型,有效地提升了短时交通流预测的精度。模型利用EEMD算法对原始数据进行分解,根据分解所得的本征模函数(intrinsic mode function,IMF)分量绘制噪声能量图谱,去除分量中的噪声,并将去噪后的IMF分量作为BiGRU网络的输入进行训练,再将训练所得的结果进行重构加和,得到最终的预测结果。实验结果表明,未舍弃含有噪声的IMF分量进行重构的预测结果,相比于参考文献中提出的EMD+LSTM模型、LSTM模型和EEMD+LSTM模型,其平均绝对百分误差分别优化了42.36%、61.82%和30.95%;舍弃含有噪声的IMF分量后进行重构的预测结果,其平均绝对百分误差相比于将全部IMF分量进行重构优化了56.62%。