Does defence expenditure have a spillover effect on income inequality? A cross-regional analysis in China

China’s defence expenditure has been growing rapidly along with GDP growth during the past two decades. Meanwhile, the income gap has continued to increase. There are conflicting views regarding whether the defence expenditure is capable of reducing income inequality. Therefore, this paper investigates the existence of any spillover effect of defence expenditure on income inequality, with a special focus on the regional differences among 31 provinces and 7 military regions in China. We extend panel cointegration and the impulse response function by using panel data during the period of 1997–2012. The empirical results show that the defence expenditure has an impact on income inequality, and the effect varies over different regions in China. The defence expenditure has a spillover effect on income inequality in the full sample panel and the southeastern panel. An increase in the defence expenditure does not crowd out social welfare spending due to the high level of economic development and government expenditure. On the contrary, in the northern panel, the effect is opposite because of the unbalanced economic development levels within the panel. Beijing as the capital of China, benefits more from the expansion of defence expenditure thus widening the income gap. In addition, the impulse response analyses further confirm a stronger effect of the defence expenditure on income inequality in the northern and the southeastern panels over a short period.     

CERep：一种可信度增强的信誉机制

增强信誉机制对信誉信息的有效聚合能力是信誉系统成功的基础。已有的基于局部信誉信息的信誉系统难以有效处理节点的复杂策略不诚实推荐行为,并且可能把提供诚实推荐的节点错误划分为不诚实节点。对此,提出了一种可信度增强的信誉机制CERep。该机制中,节点基于自身的经验产生的直接信任评价,包含直接信任评价值和关于此评价值的信心因子两个部分。在此基础上,提出了新的基于信誉的信任评价算法和推荐可信度计算模型,并给出了信誉机制的分布式实现策略。分析和模拟实验表明,CERep信誉机制能够有效应对复杂策略的不诚实推荐行为,提高信任评价的准确性,实现对节点推荐可信度更公平的评价。     

LEACH—DRT算法中基于神经网络的数据预测算法

为了保证无线传感器网络中数据的完整性,针对基于LEACH路由协议的动态轮时间算法存在的问题,提出一种基于人工神经网络的数据预测算法。该动态轮时间算法中,部分簇因调整后的轮时间不足以完成数据的采集而丢失数据。数据预测算法结合传感器节点数据具有时空相关性的特点,将时空延迟算子引入神经网络模型,并通过建立的神经网络模型对数据进行预测。仿真时采用伯克利英特尔实验室的传感器数据,通过Mafl软件对模型进行测试并分析仿真结果。实验结果表明：该算法对连续多个数据的预测效果理想,预测误差始终保持在较低水平。     

军用电子机箱模态分析及测试

对某军用电子机箱的固有频率从有限元分析和模态试验测试两个方面进行研究,并将理论分析结果和模态试验测试结果进行对比,确定了电子机箱的固有模态.为今后电子机箱的设计提供了参考依据,为仿真分析提供了有效的有限元建模方法.     

Numerical investigation of the shockwave overpressure fields of multi-sources FAE explosions

Shockwaves from fuel-air explosive (FAE) cloud explosions may cause significant casualties. The ground overpressure field is usually used to evaluate the damage range of explosion shockwaves. In this paper, a finite element model of multi-sources FAE explosion is established to simulate the process of multiple shockwaves propagation and interaction. The model is verified with the experimental data of a fourfold-source FAE explosion, with the total fuel mass of 340 kg. Simulation results show that the overpressure fields of multi-sources FAE explosions are different from that of the single-source. In the case of multi-sources, the overpressure fields are influenced significantly by source scattering distance and source number. Subsequently, damage ranges of overpressure under three different levels are calculated. Within a suitable source scattering distance, the damage range of multi-sources situation is greater than that of the single-source, under the same amount of total fuel mass. This research provides a basis for personnel shockwave protection from multi-sources FAE explosion.     

基于深度强化学习的无人战车自主行为决策

针对高动态强对抗战场环境下,无人战车面临的自主行为决策问题,分析了未来陆战场无人战车实际作战需求,构建了基于马尔可夫决策过程的自主行为决策模型,提出了一种深度强化学习结合行为树的方法,利用行为树的逻辑规则与先验知识降低强化学习问题的难度,保证收敛性和鲁棒性,同时使行为决策模型具有学习能力.构建典型作战场景,验证深度强化学习结合行为树的无人战车自主行为决策方法的有效性.     

扭杆式坦克悬挂系统的强度分析

针对目前悬挂系统设计理论的不足,运用工程力学中的卡氏第二定理和莫尔法求出负重轮行程与所受载荷之间的理论关系,并考虑了平衡肘的变截面对应力状态的影响,进而得到系统内关键点处的应力值;在理论分析的基础上,由简单到复杂,分别建立了初步模型、修正模型和最终的实体模型.应用有限元软件对悬挂系统进行三维数值模拟,计算了悬挂系统的应力场和位移场.理论分析和数值模拟的结果表明:悬挂系统力学模型较好地描述了悬挂系统的实际情况;有限元计算模型对于扭杆式悬挂系统强度计算非常有效,所得应力集中区与实际失效情况基本一致;应用本研究结果,可对悬挂系统作进一步的疲劳分析.     

一种基于重要性权重的证据合成方法及其应用

针对Dempster方法在合成高度冲突证据时结果与直观结论相悖的问题,提出了一种改进的基于重要性权重的证据合成方法,并将其应用到海上目标的识别。首先,根据证据之间的相似性程度判断证据间是否存在冲突,对于有冲突的情形,由基于P距离的权重分配模型得到各证据的重要性权值;然后,对BPA函数进行修正,采用Dempster规则修正后的BPA函数进行合成;最后,利用雷达和舰船的对应关系,将侦察雷达探测到的目标雷达信号载频、脉宽、重频转化为雷达参数的概率分配,并运用改进的证据合成方法进行了目标识别。仿真计算结果证明:该方法能有效处理冲突证据组合,克服了一票否决问题,减小了识别结果的不确定性,并保留了Dempster方法处理非冲突证据组合的良好特性。     

舰载火箭子母弹最优火力分配

舰载火箭子母弹对岸上目标实施火力压制射击时,火力分配方式直接影响毁伤效果和火力支援任务的完成.针对舰载火箭子母弹的射击特点,首先分析了海上射击误差,然后探讨了集群目标的简化处理方法,最后给出了最优火力分配时表尺差计算公式,并进行了举例分析.利用最优火力分配方法来计算舰载火箭子母弹效力射表尺差,避免了指挥员战场射击指挥的盲目性,可以在相同弹药消耗量情况下取得最佳射击效果,对未来舰载火箭子母弹的火力运用具有较高的现实意义.     

半径突变多模圆锥馈源的分析和设计

报道了一种８毫米波段半径突变的高效率多模圆锥馈源,计算出其模比并推导出其辐射方向图公式,给出了它在两个主平面－Ｅ面和Ｈ面上的辐射方向图的理论计算结果和测试结果,以及频带和旁瓣特性。分析和测试结果表明,在３４．１～３５．５ＧＨｚ频带内该多模馈源的辐射方向图在大于－２３ｄＢ范围内不出现旁瓣,在大于－１３ｄＢ范围内幅度等化良好。