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.     

露天矿地测采剥计划CAD系统的开发与实践

根据开发露天矿地测采剥ＣＡＤ系统的实践，讨论了开发此类软件的方法、数据结构和可组装通用模块等问题。     

基于两因子间相互约束的实验设计方法

针对实验设计中可控因子间存在相互约束的问题,讨论了在存在约束的条件下如何选取实验的可控因子水平构造计划矩阵,选而收集、分析实验数据．主要研究了两因子间存在约束关系的情况,通过引入自由因子和对实验中缺失数据点的处理,将不规则的实验区域变换为规则的实验设计区域,从而使存在约束问题的实验设计转化成为经典的实验设计,为两因子间存在约束的实验设计问题提供了可行的解决方案．     

Web应用开发技术的发展前景

通过回顾Web应用开发技术的发展历史和对目前各种Web应用开发技术的探讨和比较,揭示出当前互联网上Web应用开发技术无法满足社会生产和生活需求的原因。并针对不同的原因提出了若干解决问题的方案。     

利用无线通讯方式控制全站仪的研究

研究了全站仪的底层通讯原理,在此基础上借助串口蓝牙转换模块实现了同全站仪之间的无线通讯,可以在电脑端实时地对全站仪进行相应的控制操作.实验用的全站仪为Leica系列,开发环境为VS2008,用C语言对全站仪的功能进行了函数级的抽象.最终的代码既可以在PC平台上编译,也可以在Windows Mobile系列的移动设备上编译.在该函数集的基础上可编制相应的数据处理程序应用于各种具体的测量项目中,如基坑监测的实时数据处理和带马达免棱镜扫描目标的实时三维建模等工作中.     

基于AHP和DEA的科研项目绩效评价方法研究

科研绩效评价是科研管理工作中一个重要环节,如何通过开展有效的科研绩效评价来促进科学研究的发展,是理论学术界的研究热点,也是科研管理迫切需要解决的现实问题。以人文社科科研项目论文类成果绩效评价为例,提出了基于AHP和DEA的绩效评价方法。通过构建层次化评价指标体系,利用AHP分析方法,获得各指标客观的权重参数;然后综合计算项目的投入产出,利用DEA模型和DEAP软件获得各科研项目绩效的排序,从而完成对科研项目的绩效准确评价。     

Dynamic replication strategies in data grid

Dynamic data replication is a technique used in data grid environments that helps to reduce access latency and network bandwidth utilization. Replication also increases data availability thereby enhancing system reliability. In this paper we discuss the issues with single-location strategies in large-scale data integration applications, and examine potential multiple-location schemes. Dynamic multiple-location replication is NP-complete in nature. We therefore transform the multiple-location problem into several classical mathematical problems with different parameter settings, to which efficient approximation algorithms apply experimental results indicate that unlike single-location strategies our multiple-location schemes are efficient with respect to access latency and bandwidth consumption, especially when the requesters of a data set are distributed over a large scale of locations.     

一种远程容灾系统的设计与实现

设计和实现了一种异地容灾系统,系统采用本地冗余和异地冗余相结合,服务和存储相分离的结构,采用本地控制中心作为事件处理中心和数据转发的缓存。并且设计了一种动态的失效检测算法,算法综合考虑了消息的延迟、丢失、当前网络状况和当前系统状况,能够有效的降低误判率和加快服务自动恢复速度。测试表明该系统的数据恢复速度和服务切换速度有了明显的提高。实际应用中系统运行稳定,性能良好,达到了高级别容灾系统要求。