On matched active redundancy allocation for coherent systems with statistically dependent component lifetimes

This study addresses the allocation of matched active redundancy components to coherent systems with base components having statistically dependent lifetimes. We consider base component lifetimes and redundancy component lifetimes which are both stochastic arrangement monotone with respect to a pair of components given the lifetimes of the other components. In this context, allocating a more reliable redundancy component to the weaker base component is shown to incur a stochastically larger system lifetime. Numerical examples are presented as an illustration of the theoretical results.     

基于敏感性分析的贫燃甲烷氧化反应简化机理

以GRIMECH 3.0详细反应动力学机理为基础,计算了贫燃甲烷氧化时各个基元反应对关键中间组分的生产与消耗贡献,并利用敏感性分析的方法研究了甲烷氧化过程中各基元反应对整体反应速率的贡献程度。在确定主反应路径的前提下,构建了包含16种组分,31步反应的甲烷氧化的简化反应动力学机理并与详细机理做了比较。该简化机理主要适用于当量比0.2以下的极端贫燃工况。     

From Nationalism to Factionalism: Faultlines in the Naga Insurgency

Do ceasefires or peace talks create fragmentation in the insurgent groups? Rather than proposing claims that can offer predictions about armed groups behaviour under ceasefires or peace processes, the analysts tend to focus largely on the dynamics between state and non-state actor. The experts pay little attention to overtime changes in social and local political context which might contribute to propelling a rebel group towards fragmentation and factionalism. The present study intends to fill this gap by exploring the shifting role of public opinion and ethnic support for the peace talks to ascertain whether it can increase the likelihood of factionalism in rebel groups or not. This article applies this approach to the case of Naga National Movement (1947–2015) in India, and finds that the proposed variable appears to have increased the frequency of factionalism in the movement.     

滑模控制的新型双幂次组合函数趋近律

提出一种基于双幂次组合函数趋近律的新型滑模控制方案。与现有的快速幂次或双幂次趋近律相比,具有更快的收敛速度,同时还保持了全局固定时间收敛特性,收敛时间上界与滑模初值无关。当系统存在有界扰动时,能够使滑模变量在有限时间内收敛到稳态误差界内,同时其稳态误差要小于现有方法的。仿真实验验证了该方法的有效性及理论分析的正确性。     

采用多敏感器相互校正的卫星入轨姿态计算方法

针对卫星与运载分离后,由于星上姿态测量敏感器未开机或不具备工作条件而无法获悉初始入轨姿态的问题,设计了采用多敏感器相互校正的入轨姿态计算方法。建立运动学方程,结合陀螺测量角速度信息和星敏感器首次测量有效姿态,采用信赖域方法进行非线性优化求解,由后向前反向推算姿态;提出一种由模拟太阳敏感器测量对日姿态到对地姿态转化的便捷方法,由模拟太阳敏感器测量对日信息,采用本体系太阳矢量与星敏感器测量信息建立联系,达到了利用太阳敏感器测量信息校正星敏感器推算姿态的目的,最终得到的星箭分离时卫星姿态信息能够与运载方信息吻合。将入轨后卫星真实姿态与地面模型仿真结果对比,验证了模型的正确性,为后续卫星设计和飞行程序设计与改进提供了重要依据。     

Indications and warning in Belgium: Brussels is not Delphi

The terrorist attacks in France and Belgium of 2015–2016 that occurred while these countries were in a heightened state of alert raise questions about indications and warning methodology as well as effectiveness of the blanket-protection deployment of security services assisted even by the military. Response and perhaps even more anticipation may require strategic rethinking in light of the predatory attacks that target the most vulnerable spots of the public space. This study looks at threat analysis in Belgium as conducted through her intelligence fusion centre Coordination Unit for Threat Analysis (CUTA)?????? since its inception in 2006. With a special focus on what is known, at the time of writing, about the terrorist attacks in Paris and Brussels, this study hopes to put into context how the system (mal)functions and will also consider the preventive measures that respond to the threat, and the international aspects which have implications far beyond Belgian borders. Therefore, a case is made for not just a Belgian homeland security framework, but one that fits into an EU-wide security concept.     

基于小弹性模量法的空间飞网构型优化设计

飞网构型设计对提高空间飞网系统的展开抓捕性能具有重要意义。用小弹性模量分析方法对空间飞网构型优化设计问题进行了研究。以绳网中内力分布均衡性为优化目标,选取飞网抛射过程中最大受力时刻为研究工况,赋予绳索单元极小弹性模量,进行静力学计算,并以变形后的结果为初始条件进行迭代分析。优化结果表明,绳网中的内力分布随迭代步数的增加而更趋于均匀。在不改变绳网拓扑结构的前提下,本文所建立的优化设计方法为空间飞网构型优化设计提供了一种参考途径。     

卫星导航抗干扰接收机信道大动态范围通用设计方法研究*

为适应“导航战”下的强干扰输入,导航接收机对模拟信道的动态范围提出了更高的要求。在给定的信噪比恶化容限约束下,原有的分析方法给出了二维曲线分析模型,得到了动态范围的优化设计及各级增益划分方法,但仅适用于输出功率基本不变的AGC电路。基于增加的AGC输出回退功率这一参数,论文提出了一种三维曲面求解模型,揭示了各电路参量与模拟信道动态范围的约束关系,可适用于输出功率变化的AGC电路,以实现更高的动态范围。针对三维模型中参数求解复杂的问题,利用纯衰减网络的特性将复杂的数值求解简化为直线求解,大幅降低了设计复杂度。在给出的设计实例中,动态范围测试结果与设计预期吻合较好,验证了方法的正确性。     

融合图嵌入的光滑主成分分析网络图像识别算法

主成分分析网络(principal component analysis network, PCANet)是一种简单的深度学习算法,在图像识别领域具有优秀的性能。将图嵌入思想融入PCANet,提出一种新的图像识别算法光滑主成分分析网络(Smooth-PCANet)。为了验证Smooth-PCANet算法的有效性,在人脸、手写体字符以及图片等不同数据集上构建实验,并将Smooth-PCANet与多种基于深度学习的图像识别算法作了对比。实验结果证明,Smooth-PCANet算法比PCANet获得了更高的识别性能,并且更有效地避免了过拟合,在小样本训练时具有显著优势。     

基于作业记账日志的并行作业特征分析工具 JobCAT

并行作业特征分析是负载分析的重要基础。作业记账日志是开展作业特征分析的重要数据源。由于作业记账日志中没有记录应用名称,现有工具无法按应用名称开展作业特征分析。提出基于关键字模糊匹配的作业记账日志标记方法,设计通用的作业数据模型和柔性可扩展软件架构,集成实现并行作业特征分析工具JobCAT。通过某超级计算机系统百万量级作业记账日志数据测试验证,JobCAT的作业记账日志标记率大于95%。JobCAT支持7个插件、29项统计报表,可一键生成应用的作业特征分析报告,对负载分析研究具有实用价值。