差压式管道内检测机器人驱动力与速度分析

差压式管道内检测机器人是利用管道中流动介质压力差驱动的检测装置,机器人受力情况及周围流场分布对其运动状态有着重要的影响。通过对检测机器人受力分析和数值模拟,讨论了影响给定机器人驱动力的主要因素,得到了以水为流动介质在水平管道情况下,水流速度与机器人稳态速度的近似关系式,为以后进一步研究机器人定位提供帮助。     

The Gravity of Arms

The aim of this paper is to investigate the determinants of international arms transfers in a gravity model framework. By distinguishing between the decision to export arms (extensive margin) and the value of the arms exported (intensive margin), while also considering its interdependence, is what differentiates this paper from previous research. A theoretically justified gravity model of trade augmented with political and security motives is estimated using a two-stage panel data approach for 104 exporting countries over the period from 1950 to 2007. In addition to the usual gravity variables related to the economic mass of the trading countries and the trade cost factors, the model is extended with political and security factors. The level of democracy in both trading partners, political differences between trading partners and voting similarity with the United States in the UN General Assembly of the countries engaged in trade are the main political factors, whereas the existence of conflicts, military pacts, and embargoes are taken as security motives. The key result indicates that both political and security motives are an important determinant of an arms trade, but their effects on the extensive margin of exports (the decision to order a transfer) differs from their effect on the intensive margin (average value of exports). Moreover, the relative importance of the factors under study has changed since 1989. In the post-cold war period, countries that are less democratic are more likely to export arms, military pacts are less relevant and embargoes play a role.     

空降作战的制约因素及前瞻

空降力量是联合作战力量的重要组成部分,空降作战是实施高技术条件下作战的重要手段,因此也是各国争相研究的课题,而空降作战指挥是制约空降作战效能发挥的主要因素。本文从空降作战指挥的特点出发,剖析了空降作战指挥的影响因素,通过对现代战争的形势分析对空降作战指挥的发展趋势做出了合理的预判。      

军用数据库安全审计系统的设计

在指控系统应用过程中,需要审查与系统安全相关的所有操作,并对不安全的操作行为进行报警。根据指控系统中数据库审计四要素的要求,提出将应用系统级审计与数据库级审计相结合的方法,最终实现两种级别审计的统一。解决了以往指控系统审计方式单一的问题,满足了军用数据库安全防护的要求。     

双变因子LMS自适应滤波算法

为提高最小均方(LMS)自适应滤波算法的性能,在步长因子与误差信号满足一种改进的Sigmoid函数关系式的基础上,提出了一种双变因子控制下的变步长LMS自适应滤波算法。该算法具有初始状态收敛速度快、稳定状态均方误差小、抗噪声性能好、适应系统跃变能力强的优点。计算机仿真结果验证了该算法的优越性。     

介子跃迁形状因子的重夸克极限和1/m_Q修正

在BS理论框架下,对0~-→0~-和0~-→1~-(0~-和1~-分别代表赝标介子和矢量介子)跃迁的形状因子进行模型无关的分析.结果表明BS框架既能给出重夸克极限下的自旋—味对称性,又能给出重夸克有效理论关于1/m_Q修正的Luke定理及其它关系.     

细致的描写 深刻的思想──“The Sampler”浅析

大学英语第一册里的“Ｔｈｅ Ｓａｍｐｌｅｒ”是一篇不可多得的佳作。它不仅胜在细致、准确、到位的描写,而且胜在其深刻的思想性。本文拟从语言因素分析其文体色彩,通过其揭示的社会问题即西方社会老年人的境遇来探讨其思想性。     

The SSA-BP-based potential threat prediction for aerial target considering commander emotion

The target's threat prediction is an essential procedure for the situation analysis in an aerial defense system. However, the traditional threat prediction methods mostly ignore the effect of commander's emotion. They only predict a target's present threat from the target's features itself, which leads to their poor ability in a complex situation. To aerial targets, this paper proposes a method for its potential threat prediction considering commander emotion (PTP-CE) that uses the Bi-directional LSTM (BiLSTM) network and the backpropagation neural network (BP) optimized by the sparrow search algorithm (SSA). Furthermore, we use the BiLSTM to predict the target's future state from real-time series data, and then adopt the SSA-BP to combine the target's state with the commander's emotion to establish a threat prediction model. Therefore, the target's potential threat level can be obtained by this threat prediction model from the predicted future state and the recognized emotion. The experimental results show that the PTP-CE is efficient for aerial target's state prediction and threat prediction, regardless of commander's emotional effect.     

《概论》课研讨式教学与学生非智力因素培养研究

以非智力因素与思想政治教育的关系为切入点,探讨《毛泽东思想和中国特色社会主义理论体系概论》课研讨式教学与学生非智力因素培养之间的内在关联,凸现非智力因素在思想政治教育过程中的价值,系统设计《概论》课研讨式教学,从而提高思想政治教育实效。     

基于云理论的装备技术状态预测

通过分析装备技术状态变化的模糊性和不确定性等特性,提出了基于云理论的装备技术状态预测模型.根据装备技术状态劣化趋势,给出了基于云模型的时间序列状态预测方法,有效地运用了装备状态评估中的主观预测知识.将历史趋势与当前趋势相结合,实现了基于时间序列的状态预测.最后以某装备的发动机为研究对象,对发动机状态的动态评估值进行了预测,验证了该状态预测方法的有效性.