United States special operations forces and the war on terrorism

Those leading the war on terrorism have emphasized from the beginning that this war would be unlike other wars. Special Operations Forces (SOF) are military forces unlike other military forces. The implication is that SOF and the war on terrorism are thus made for each other. This contribution examines this assumption, the war on terrorism and SOF in greater detail.     

Fighting on Their Own Terms: The Tactics of the Irish Republican Army 1919-1921

Abstract

The 1919-1921 Anglo-Irish War represents one of the earliest instances of a successful insurgent movement in the twentieth century. By combining a fluid organizational structure with effective hit-and-run tactics and accurate intelligence, the Irish Republican Army was able to defeat militarily the security forces of Great Britain. Combined with a successful propaganda campaign, these tactics allowed the IRA to drive the British to the negotiating table, where its representatives secured greater autonomy than Ireland had known in centuries. The outcome of the Anglo-Irish War demonstrates the success which a well-organized guerrilla campaign can achieve, and the tactics used by the IRA must therefore be understood by any serious student of small warfare.     

面向混部云失败批处理作业的预测算法

为了降低混部云失败批处理作业的风险,使用K-means聚类算法将批处理作业分为四类,在分类的基础上提出了二层嵌套分类模型(two-layer nested classification model, TLNM),实现了基于TLNM的预测算法。基于Ali Trace 2018数据集上的实验结果表明,该算法的接受者操作特性(receiver operating characteristic, ROC)曲线明显优于其他常用分类器,ROC曲线下面积(即AUC)可以达到0.978,表明该算法具有良好的分类性能。同时召回率可以达到0.951,通过混淆矩阵可以看出TLNM算法能够准确预测出执行失败的批处理作业。     

测量聚合物在高应变率下力学性质的实验系统

本文介绍了一种用于测量材料在高应变率下单轴应力─应变性能的实验测量系统：落重与高速摄影实验系统。该系统在现有的落重装置的基础上,增加了高速摄影和应力过程的同时测量,使得在一次实验中可同时取到应力应变数据。从而避免了这类实验中常用的变形过程中体积不变的假设。通过高速实验提供的实验照片,我们还可以观察到聚合物在高应变率下从变形到断裂的发展过程。     

基于非线性Kalman滤波的导航系统误差补偿技术

针对非线性非高斯导航系统信息处理问题,采用自组织算法、神经网络和遗传算法等改进传统非线性Kalman滤波算法,构建一种自适应的组合导航系统。应用具有冗余趋势项的自组织算法、Volterra神经网络和遗传算法,建立导航系统误差的非线性预测模型,进而计算得到其预测值;将该预测值与Kalman滤波算法求得的估计值进行比较得到差值,以此监测Kalman滤波算法的工作状态;采用自适应控制方法,在导航系统结构层面改进Kalman滤波算法,构建新型的导航系统误差补偿模型。开展基于导航系统KIND-34的半实物仿真研究,应用所提出的改进方法改善了导航系统误差的补偿效果,提高了组合导航系统的自适应能力和容错能力。     

A branch and bound algorithm for solving a class of nonlinear integer programming problems

This article presents a branch and bound method for solving the problem of minimizing a separable concave function over a convex polyhedral set where the variables are restricted to be integer valued. Computational results are reported.