群指挥系统分析与设计问题

对系统的开发方法进行了深入的分析比较,认为原药－结构化生命周期法是一种比较有效的方法,应用这种方法和过程－数据矩阵分析方法对炮兵群指挥系统进行了分析与分解,提出了系统的总的逻辑模型。文中还在系统配置、通信与软件结构等方面提出了改善系统反应速度和可靠性所能采用的措施,还提出了一种避免火力交叉的任务分配方法与火力分配及弹药消耗量的优化算法。     

由序列图像获取点目标的三维运动参数和空间位置

利用图像获取目标的运动参数和空间位置在目标定位、跟踪和计算机视觉中具有重要的意义。本文在目标和成像系统都运动的情况下,给出了由单目序列图像获取点目标绝对运动参数和三维空间坐标的条件,提出了利用多帧单目序列图像和应用非线性递推滤波算法来估计点目标的运动参数和空间位置。实验仿真结果证明,本文提出的算法是有效的。     

结构吸波材料 SiC-C纤维的研究

本文用聚碳硅烷(PCS)与煤沥青(P)共混,制得PCS-P 共混物,再经纺丝、氧化、高温烧成,制成了SiC-C 纤维。该纤维电阻率随碳含量的增加而减少,强度和模量随碳含量的增高而降低,而且该纤维与环氧树脂复合制得的层合板材,具有良好的吸收电磁波性能。     

结构吸波材料的高性能树脂基体研制

文中介绍所研制的一种高性能改性环氧树脂具有介电常数较低、损耗正切较高、耐热性好和强度较高的特点。     

Sandwich approximation of univariate convex functions with an application to separable convex programming

In this article an algorithm for computing upper and lower ? approximations of a (implicitly or explicitly) given convex function h defined on an interval of length T is developed. The approximations can be obtained under weak assumptions on h (in particular, no differentiability), and the error decreases quadratically with the number of iterations. To reach an absolute accuracy of ? the number of iterations is bounded by

     

Forecasting Civil Conflict with Zero-Inflated Count Models

Advances in the study of civil war have led to the proliferation of event count data, and to a corresponding increase in the use of (zero-inflated) count models for the quantitative analysis of civil conflict events. Our ability to effectively use these techniques is met with two current limitations. First, researchers do not yet have a definitive answer as to whether zero-inflated count models are a verifiably better approach to civil conflict modeling than are ‘less assuming’ approaches such as negative binomial count models. Second, the accurate analysis of conflict-event counts with count models – zero-inflated or otherwise – is severely limited by the absence of an effective framework for the evaluation of predictive accuracy, which is an empirical approach that is of increasing importance to conflict modelers. This article rectifies both of these deficiencies. Specifically, this study presents count forecasting techniques for the evaluation and comparison of count models' predictive accuracies. Using these techniques alongside out-of-sample forecasts, it then definitively verifies – for the first time – that zero-inflated count models are superior to comparable non-inflated models for the study of intrastate conflict events.