WEB系统中统计图绘制研究

简要介绍了GDI+,提出了在Web系统中利用GDI+实现统计图绘制的思路,并结合Visual C#.NET与Oracle数据库,举例阐述了统计图实现的关键技术和具体步骤,该技术在军队油库信息可视化研究与应用项目中得到很好应用。     

Realignment in the National Football League: Did they do it right?

The National Football League (NFL) in the United States expanded to 32 teams in 2002 with the addition of a team in Houston. At that point, the league was realigned into eight divisions, each containing four teams. We describe a branch‐and‐cut algorithm for minimizing the sum of intradivisional travel distances. We consider first the case where any team can be assigned to any division. We also consider imposing restrictions, such as aligning the AFC (American Football Conference) and the NFC (National Football Conference) separately or maintaining traditional rivalries. We show that the alignment chosen by the NFL does not minimize the sum of intradivisional travel distances, but that it is close to optimal for an alignment that aligns the NFC and AFC separately and imposes some additional restrictions. © 2003 Wiley Periodicals, Inc. Naval Research Logistics 50: 683–701, 2003.     

传感器网络中基于LQI均值的功率控制方法

邻近图的功率控制方法是传感器网络拓扑控制中的一个重要研究方向。对比分析了PRR，RSSI和LQI等几种链路质量衡量指标的优劣，将LQI均值作为邻近图中邻节点的距离度量，构造链路质量邻近图LQPG，并对所构造的链路质量邻近图进行了仿真实验。结果表明，LQPG有着较低的平均节点度，在链路变化情况下，网络有着较低的平均功率，从而有效地延长了网络的生存期。     

人员密集场所火灾亡人事故成因探讨

通过构建火灾亡人事件树、早期确认火灾失败故障树、火场逃生自救失败故障树和外部抢险救援失败故障树,获得了人员密集场所火灾亡人事故因果分析图。对1991年至2007年发生在我国人员密集场所的22起特别重大火灾亡人事故按照因果分析图进行统计分析,得出了人员密集场所火灾亡人事故成因。     

基于超网络的作战体系建模方法

基于信息系统体系作战问题研究的基础是作战体系构建。在对作战体系进行网络化结构分析的基础上,重点考虑体系中各类实体及属性的复杂性,根据其网络拓扑特性,以超网络、超图理论为指导,建立了基于结构层和属性层相统一的超网络模型,并结合体系作战过程中的对抗规律,提出超网络模型相应的动态演化方式,最后通过案例建模验证了超网络作战体系构建模型的适应性及优势。     

“三色图”的一个充分条件

文中证明了定理:若图G中不存在与K_4同胚的子图,则其色数X(G)≤3,进而得到三色图的一个充分条件。只要能证明与上述定理类似的一个定理:“若图G中不存在与K_5同胚的子图,则其色数X(G)≤4”,则世界著名的“四色猜想(4CC)”即得证。     

融合图嵌入的Smooth-PCANet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。然而PCANet在构建网络卷积核时只关注了图像的主分量信息,忽视了近邻像素点之间的位置关系。而通常情况下,图像的相邻像素点具有空间强相关性,因此利用图结构保持像素点的位置近邻关系更有利于网络提取有效特征。因此,我们将图嵌入思想融入PCANet,提出一种新的图像识别算法Smooth-PCANet。为了验证Smooth-PCANet算法的有效性,我们在人脸、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。     

Modeling of unsupervised knowledge graph of events based on mutual information among neighbor domains and sparse representation

Text event mining, as an indispensable method of text mining processing, has attracted the extensive attention of researchers. A modeling method for knowledge graph of events based on mutual information among neighbor domains and sparse representation is proposed in this paper, i.e. UKGE-MS. Specifically, UKGE-MS can improve the existing text mining technology's ability of understanding and discovering high-dimensional unmarked information, and solves the problems of traditional unsupervised feature selection methods, which only focus on selecting features from a global perspective and ignoring the impact of local connection of samples. Firstly, considering the influence of local information of samples in feature correlation evaluation, a feature clustering algorithm based on average neighborhood mutual information is proposed, and the feature clusters with certain event correlation are obtained; Secondly, an unsupervised feature selection method based on the high-order correlation of multi-dimensional statistical data is designed by combining the dimension reduction advantage of local linear embedding algorithm and the feature selection ability of sparse representation, so as to enhance the generalization ability of the selected feature items. Finally, the events knowledge graph is constructed by means of sparse representation and l₁ norm. Extensive experiments are carried out on five real datasets and synthetic datasets, and the UKGE-MS are compared with five corresponding algorithms. The experimental results show that UKGE-MS is better than the traditional method in event clustering and feature selection, and has some advantages over other methods in text event recognition and discovery.     

临近空间中子环境及其探测

在临近空间辐射环境的诸多因素中,中子对飞行器的安全、可靠运行以及人员健康的威胁最为严重。文章介绍了临近空间中子的来源及其对飞行器和人体的危害,指出临近空间中子探测研究的重要意义,简要阐述了临近空间中子探测的原理与方法,最后探讨了临近空间中子探测领域所涉及的几个关键问题。     

基于信息链的防空作战体系能力分析方法

针对要地防空指挥控制系统的组成、结构和功能,通过双层图对作战体系结构进行建模,提出体现作战体系作战业务流程、信息连通性的双层信息链搜索和解析方法,实现了将信息链与作战体系能力分析的有机关联。仿真验证表明,该方法有效地体现了在作战体系能力分析中,各类型作战实体的协作性和连通性,提高了作战体系作战能力与体系结构的融合能力,利于作战体系的作战效能评估。