Boko Haram and the challenges of Nigeria's war on terror

Boko Haram terrorism has been recognized by Nigerian President Jonathan as the most threatening and complex security issue in Nigeria since independence. In response, the Federal Government of Nigeria has committed itself to different counterterrorism measures, which are largely dominated by “hard politics” and military mobilization. Spending heavily on defense to upgrade military hardware and train personnel in a counterterrorism role, Nigeria has also boosted its strategic importance in the “Global War on Terror”. However, this attempt has become unpopular as it has failed to contain Boko Haram within a short time frame and has made insufficient headway against unabated terror, with human rights costs among the host communities and amidst a surge of stakeholders' discordance. As a matter of concern, this article seeks to assess Boko Haram as an opponent in Nigeria's war on terror (WOT) and to ascertain the challenges the country faces, the alternative measures open to it, and possible ways forward.     

微污染地表水的胞外聚合物复合絮凝剂强化混凝处理

采用胞外聚合物作为生物絮凝剂,开展胞外聚合物复合絮凝剂强化混凝处理微污染原水的研究.研究结果表明,蛋白质是胞外聚合物最主要的成分,多糖次之,腐殖酸和脱氧核糖核酸的含量最低;胞外聚合物含有大量带负电荷的官能团,单独投加胞外聚合物不能有效絮凝和吸附去除原水中的污染物.聚合氯化铝混凝处理微污染水的效果优于氯化铝和聚合硫酸铁,药品较优投加质量浓度为70~80 mg/L.胞外聚合物和聚合氯化铝复合使用能提高对细小颗粒物的去除效果,增强去除有机污染物和氯化消毒副产物前驱体的能力,降低聚合氯化铝的质量浓度.胞外聚合物复合絮凝剂的较优配方:胞外聚合物质量浓度为5 mg/L,聚合氯化铝质量浓度为60 mg/L.     

基于CMM的指挥控制能力成熟度模型

分析了美军与北约等外军对指挥控制能力成熟度模型的研究现状,借鉴软件生产能力成熟度模型(CMM)的相关方法,提出了我军指挥控制能力成熟度的研究思路和指挥控制能力成熟度模型总体架构与评价方法,阐述和展望了该模型的应用。     

The Sword of General Sir William Fenwick Williams,Baronet of Kars,in the Royal Armouries (IX.1841) and Aspects of High Victorian Sword Design

Abstract

The Sword of Honour (RA IX.1841) presented in 1856 by the Province of Nova Scotia to its native son, General Sir William Fenwick Williams, Bart. for his deeds at Kars, Turkey, is described, illustrated, discussed and placed both in its historical and its design context. Other notable British swords of the Victorian Age (1837–1901), the Age of Empire, are also examined and the various and influential aspects of their designs, ornament and iconography discussed.     

二维离散余弦变换与二维离散Fourier变换的快速算法

文中提出N×M2D—DCT(Ⅱ)的一种快速算法,其需实运算量为:M_u=1/2NMlog_2N+1/4MNlog_2M,A_d=3/2NMlog_2NM—3MN—1/2M~2+M+N(其中N、M为2的幂)。当N=M时,与文[5]的结果一样、这是目前最好的结果。但文[5]算法不稳定,容易产生较大的误差。本文克服了这一缺点。并利用此2D—FCT(Ⅱ)导出了2D—DCT.2D—DST和2D—DCST的快速算法及2D—DFT的一种快速算法。2D—DFT快速算法的运算量与文[1]中用FPT计算2D—DFT相近。     

非牛顿流体不定常环管流研究

本文采用积分变换的方法,找到了一类非牛顿流体在环形管道中不定常流动的解析解,并进行了数值计算,分析了非牛顿性系数和其他各参数对二阶流体不定常流动的影响,指出当二阶流体非牛顿系数相同时,环管流与一般管流比达到稳定的特征时间较短,并且相应的速度分布、平均速度分布数值均较小。在外半径相同时,环管流内壁的剪应力较之一般管流,其大小随内径而改变。环管流外壁剪应力总相应地小于内壁剪应力。     

多目标多决策者环境下防空反导装备体系资源分配与优化

作战体系具有层次高、规模大,各作战分系统间协调配合密切的特征。在作战任务中,这种多层次、多系统、多决策者、多目标的结构使得对各作战子系统的武器装备分配变得更为复杂。为解决此类复杂结构的优化问题,在层次化多目标分析方法基础之上,将层次系统的风险管理引入到模型中来,形成多目标多决策者资源分配模型多目标多决策者资源分配模型,用以解决在不确定风险环境下进行多目标资源分配的问题。利用MOMDRA模型建模空袭风险下防空反导体系的武器装备分配问题,在求解该模型的过程中采用系统分解的思路,利用权重法,站在不同决策者的角度得到该体系的Pareto最优资源分配方案,并通过一个实例来说明此方法的可行性。     

基于PSO-RBF神经网络的雷达目标识别

为提高雷达系统目标识别能力,对粒子群算法及RBF神经网络进行了分析。针对离子群算法(PSO)易陷入局部极小的缺陷,提出了基于自适应时变权重和局部搜索算子的改进PSO算法,并将该算法应用到RBF神经网络核函数参数的优化学习中,进行了雷达目标识别仿真实验。仿真结果表明,相对于标准PSO-RBF神经网络,改进算法不仅收敛速度快,且误差精度高,特别在干扰较强时,目标的识别率有较大提高。     

Resistance of grid steel-tube-confined concrete targets against projectile impact: Experimental investigation and analytical engineering model

Steel-tube-confined concrete (STCC) targets are provided with excellent anti-penetration performance over semi-infinite concrete (SIC) targets since the steel tube imposes passive restraint on the in-filled concrete during the penetration process. Grid STCC system with square steel tubes is a potential solution to protective structures. In this paper, experiments of 9-cell grid STCC targets penetrated by 12.7 mm Armor Piercing Projectile (APP) were performed. The influence of side length and thickness of steel tube, steel ratio and impact velocity on anti-penetration performance were taken into account. Additionally, single-cell square STCC targets were also designed and tested for comparison with the 9-cell grid STCC targets. Damage modes and parameters of the tested targets were measured and discussed. Moreover, the stiffness of radial confinement of grid STCC targets is achieved according to the elastic solution of infinite cylindrical shell in Winkler medium. Furthermore, the penetration resistance and depth of penetration (DOP) for grid STCC targets are obtained on the basis of the dynamic finite spherical cavity-expansion (FSCE) models including radial confinement effect. It is shown that the 9-cell grid STCC targets with optimal dimension match of thickness and side length of steel tube can reduce the DOP by about 17 % and 23 % in comparison with the SIC targets and single-cell square STCC targets, respectively, due to both the confinement of square steel tube to concrete in the impacted cell and the additional confinement of the surrounding cells to the impacted cell; the penetration resistance and DOP of the grid and cellular STCC targets with similar steel ratio is close, and thus the grid STCC targets with simpler manufacturing process and excellent in-plane expandability are preferred in engineering practice; moreover, the predicted results of DOP model based on the FSCE models agree well with the tested results with the maximum disparity less than 12 % and the proposed model is more applicable to the grid and cellular STCC targets with high radial confinement.     

A pixel-level local contrast measure for infrared small target detection

Infrared (IR) small target detection is one of the key technologies of infrared search and track (IRST) systems. Existing methods have some limitations in detection performance, especially when the target size is irregular or the background is complex. In this paper, we propose a pixel-level local contrast measure (PLLCM), which can subdivide small targets and backgrounds at pixel level simultaneously. With pixel-level segmentation, the difference between the target and the background becomes more obvious, which helps to improve the detection performance. First, we design a multiscale sliding window to quickly extract candidate target pixels. Then, a local window based on random walker (RW) is designed for pixel-level target segmentation. After that, PLLCM incorporating probability weights and scale constraints is proposed to accurately measure local contrast and suppress various types of background interference. Finally, an adaptive threshold operation is applied to separate the target from the PLLCM enhanced map. Experimental results show that the proposed method has a higher detection rate and a lower false alarm rate than the baseline algorithms, while achieving a high speed.