基于毫米波探测器的炸高可选择近炸引信的炸高解算方法

为满足新一代箱式远程制导火箭弹系统及其新型战斗部的需求,对单型炸高可选择近炸引信进行研究.该型引信的炸高覆盖范围大且炸高可选择,既能满足大威力整体战斗部和电磁脉冲战斗部的炸高需求,又能满足子母战斗部的精确定高开舱需求,对提高陆军精确打击能力具有重要的军事价值.为此,提出一种基于毫米波相控阵探测器的炸高解算方法,通过相控阵探测器测高数据与惯性导航数据的融合处理,实时计算火箭弹飞行高程,从而实现炸高控制.并且将融合结果作为惯导的初值来计算下一时刻的惯导测高数据,在一定程度上减少了由于时间积累造成的惯导测量误差,提高了测高精度.仿真实验证明了该方法的有效性和炸高解算精度.      

基于Apriori算法的多维关联规则挖掘研究

关联规则是数据挖掘中的一个重要研究方向.经典的Apriori算法是一种最有影响的挖掘布尔型关联规则频繁项集的算法,但其并不适合挖掘近年来兴起的多维数据模型.在改进Apriori算法的基础上,提出了一种"二次剪枝"的算法,此算法适用于挖掘多维关联规则,并且在一定程度上提高了算法效率.     

大数据技术在电力企业的应用

本文主要探讨大数据技术在电力企业的应用,大数据以其数据总量大、种类多、传输快捷等特点,逐渐渗透在人们的生产生活,方便了我们的日常生活,对国家的经济发展也起了一定的作用,能为我们分析问题提供更多更好的解决方案。     

基于谱正则化算法的大数据矩阵完备化研究

矩阵完备化是基于部分观测数据来完成全部矩阵预测的问题.随着互联网技术的发展,大数据时代的来临,大数据矩阵中大多数据依然是空白的,需要补充,即大数据存在矩阵完备化的问题.本文利用谱正则化模型和算法来解决大数据的矩阵完备化问题,该方法将矩阵完备化问题整理成核范数最小二乘问题,再通过截断奇异值分解、软输入算法和硬输入算法给出了一系列正则化低秩解.最后基于实际的Netflix 大数据的实验结果证明了本文的方法.     

异构数据的形成及数据集成技术分析

提供了一个基于Java和XML的数据的集成模型,为异构数据的集成提供了一个与数据库系统无关、与操作系统无关的简单方便的解决方案．根据这一模型开发的信息系统,可以实现数据在不同操作系统、不同数据库系统、不同网络平台和不同开发语言的数据库进行应用．     

城市突发公共事件应急管理平台的实现

城市应急突发公共事件管理平台需要解决各参与者的信息有效对接和统一规范的应急信息技术标准,因此,在实现过程中,采用发言权控制机制实现信息共享,使用Row Set的数据集结构实现统一的数据交换标准。实践表明,系统的实现很好地推进了应急管理的研究。     

基于数据采集的虚拟数字存储示波器

用通用数据采集卡构成虚拟数字存储示波器系统,并讨论虚拟数字存储示波器的功能实现软件设计方法。     

Development of a middle and low latitude theoretical ionospheric model and an observation system data assimilation experiment

On the basis of previous work, we develop a middle and low latitude theoretical ionospheric model in this paper, named Theoretical Ionospheric Model of the Earth in the Institute of Geology and Geophysics, Chinese Academy of Sciences （TIME-IGGCAS）. TIME-IGGCAS solves the equations of mass continuity, motion and energy of electron and ions self-consistently and uses an eccentric dipole field approximation to the Earth＇s magnetic field. We combine the Eulerian and Lagrangian approaches in the model and take account of the plasma ExB drift velocity. Calculation results reveal that the model is steady and credible and can reproduce most large-scale features of ionosphere. By using TIME-IGGCAS, we carried out an observation system data assimilation experiment. Assimilation results show that the ExB drift velocity can be accurately estimated by ingesting the observed foF2 and hmF2 into the model applying nonlinear least-square fit method. We suggest that this work is of great significance in the development of ionospheric data assimilation model to give better nowcast and forecast of ionosphere.     

On Peer-Assisted Data Dissemination in Data Center Networks: Analysis and Implementation简

Data Center Networks （DCNs） are the fundamental infrastructure for cloud computing. Driven by the massive parallel computing tasks in cloud computing, one-to-many data dissemination becomes one of the most important traffic patterns in DCNs. Many architectures and protocols are proposed to meet this demand. However, these proposals either require complicated configurations on switches and servers, or cannot deliver an optimal performance. In this paper, we propose the peer-assisted data dissemination for DCNs. This approach utilizes the rich physical connections with high bandwidths and mutli-path connections, to facilitate efficient one-to-many data dissemination. We prove that an optimal P2P data dissemination schedule exists for FatTree, a specially- designed DCN architecture. We then present a theoretical analysis of this algorithm in the general multi-rooted tree topology, a widely-used DCN architecture. Additionally, we explore the performance of an intuitive line structure for data dissemination. Our analysis and experimental results prove that this simple structure is able to produce a comparable performance to the optimal algorithm. Since DCN applications heavily rely on virtualization to achieve optimal resource sharing, we present a general implementation method for the proposed algorithms, which aims to mitigate the impact of the potentially-high churn rate of the virtual machines.     

数据仓库清洗技术讨论

数据仓库建设过程中最关键的环节是数据集成,本文重点分析了数据清洗需要解决的问题及涉及的主要技术,针对数据库的数据模型与数据仓库模型的区别讨论了利用元数据的映射规则的数据清洗方法.