基于云计算的数字图书馆个性化信息服务的设计

提供个性化信息服务是数字图书馆研究中的一个重要问题,之前一直利用人工智能技术比如Agent和Ontology语义信息检索技术.随着云计算出现,也给数字图书馆个性化信息服务带来无限的应用.本文介绍了云计算技术在数字图书馆个性化信息检索中的应用,重点解决了数字图书馆个性化信息服务的设计问题,为下一步研究奠定基础.     

基于云计算的食品安全监理研究

利用云计算技术,从建立食品安全监管体系的角度出发,构建了基于云计算的食品安全监理架构.通过对引起食品安全的风险因素及可能性的分析研究,建立了食品安全风险评估模型.通过对此模型的建模分析,形成了一个有效的食品安全监理机制,从而达到降低食品安全事故发生概率的目的.     

一种量子化学有限元并行计算方法

利用有限元法计算了量子化学中双原子分子的Hartree-Fock-Slater方程,用八节点等参元来离散所要求解的方程,在计算离散后的广义特征值问题时,采用迁移式子空间迭代法来求解.本方法能以较高的精度和效率求得所需的前q维特征值和特征向量,具有编程容易、子空间维数低和占用内存少的优点.所提方法也适用于并行计算,并行程序是在微机机群系统上发展的,用SPMD(singleprogrammultipledate)模式在MPI(messagepassinginterfaces)并行编程平台上实现,MPI系统用于处理机群节点间的通信.给出计算两个双原子分子——BH分子和LiH分子基态总能量的数值算例,获得了较精确的计算结果,显示了本方法的优越性.     

面向5G需求的APP载体内容分发网络模型研究

针对APP(application)载体向移动用户传播内容数据的资源配置问题,根据移动用户对内容数据存在间歇式兴趣等特点,提出一种APP载体内容分发网络模型。该模型考虑APP和人群的生灭全生命周期等因素,结合APP向人群推送内容以及人群内部传播内容的现实应用场景,并利用虫媒传染病仓室模型构造内容数据传播的关联关系。通过理论证明了当基本再生数R0小于1时,所提模型平衡点的存在性和稳定性。仿真结果验证了所提模型平衡点的存在和稳定。     

智慧系统及其在智慧城市应用的前沿技术分析

为解决城市"复杂巨系统"组织运行中的人-机-物协同融合等共性问题,构建面向智慧城市应用服务的通用平台,结合智慧系统基础理论研究,通过对IBM(International Business Machines Corporation)、阿里云计算有限公司、华为技术有限公司及北京易华录信息技术股份有限公司等中外企业智慧系统在智慧城市中的实际应用分析,明确了智慧系统的基本内涵与特征,提出了智慧系统的通用组成,开展了智慧系统体系架构的设计,并从感、传、智、用4个系统单元设计技术和一个系统总体设计技术角度,全面阐述了智慧系统面向智慧城市应用的前沿技术体系构成及其应用方向,为智慧系统的设计提供了技术指引和系统构建参考.     

考虑近区多重散射的目标RCS图形电磁算法

计算目标雷达散射截面时,对于存在近区多次散射的目标,对存在近区耦合场的单元的识别非常复杂。从磁场积分方程出发,结合图形电磁计算平台GRECO,经过适当的坐标转换,可快速识别对单元产生耦合场的区域;同时,采用迭代物理光学方法,计算了典型目标的近场与远场RCS。数值算例证明了本方法的有效性,本方法考虑了目标的多重散射特性,使得图形电磁计算方法从物理光学方法扩展应用到迭代物理光学方法。     

基于视觉的UCAV自主着陆蒙特卡洛仿真研究

介绍了不确定性分析方法的应用以及不确定性的数学模型。回顾了蒙特卡洛仿真在飞控系统的鲁棒分析、鲁棒控制律设计以及灵敏度分析等方面的研究成果。设计并实现了基于MATLAB分布计算引擎（MATLAB Distributed Computing Engine）的分布式蒙特卡洛仿真方案,开发了可以创建分布式仿真任务的蒙特卡洛仿真工具MCST（Monte Carlo Simulation Tool）,可以方便地对于Simulink模型进行蒙特卡洛仿真。并且使用该工具进行基于视觉的UCAV自主着陆仿真研究。

Abstract：

Application of uncertainty analysis methods was introduced as well as some general used uncertainty models. The most basic uncertainty analysis method is Monte Carlo Simulation,which is a powerful and practical tool to deal with non-linear systems with very large amount of uncertainties. However,the great disadvantage of Monte Carlo is that it is very intensive computationally. Given to such a drawback,a distributed computing tool,which is named Monte Carlo Simulation Tool and based on MATLAB Distributed Computing Engine and Distributed Computing Toolbox,was developed in order to execute independent MATLAB operations simultaneously on a cluster of computers,speeding up execution of large amount of simulations. The MCST can easily be used to Simulink models for Monte Carlo Simulation. Monte Carlo Simulation has been applied to vision-based autonomous landing of Unmanned Combat Aerial Vehicles （UCAVs） with uncertainties of initial conditions and sensor measurements. Simulation results show that there is a high mission successful probability,which means the autonomous landing control law is insensitive to uncertainties.     

Dominance-based rough set approach as a paradigm of knowledge discovery and granular computing

Dominance-based rough set approach (DRSA) permits representation and analysis of all phenomena involving monotonicity relationship between some measures or perceptions. DRSA has also some merits within granular computing, as it extends the paradigm of granular computing to ordered data, specifies a syntax and modality of information granules which are appropriate for dealing with ordered data, and enables computing with words and reasoning about ordered data. Granular computing with ordered data is a very general paradigm, because other modalities of information constraints, such as veristic, possibilistic and probabilistic modalities, have also to deal with ordered value sets (with qualifiers relative to grades of truth, possibility and probability), which gives DRSA a large area of applications.     

DNA modular subtraction algorithm based on linear self-assembly

This paper presents a DNA algorithm based on linear self-assembly which gives the result of the modular subtraction operation of two nonnegative integers. For two n-bit nonnegative integers A and B, the algorithm gives the result of A-B mod 2 ⁿ . An extended borrow tag which indicates the relation of the minuend and the subtrahend is included in the resulting strand so that the pre-classification based on A>B or B>A is not required before the experiment. From the resulting strand, we can draw the information of operation result, operands, borrow, and the tag of the relation between the minuend and the subtrahend. The algorithm takes advantage of the parallelism characteristic of DNA computing: while given two sets of operands (one the minuend set and the other subtrahend set), the modular subtraction operation of these two sets can be achieved by a parallel processing procedure. The feasibility of the algorithm is based on a known experiment. The algorithm is of spontaneous characteristic which prevents the scale of the experimental procedures from growing with the length of the operands. As for the length of the operands n, there are O(n) kinds of strands required in the experiment, and the biochemical experimental procedures can be accomplished in constant number of steps.     

浅谈GPU在遥感影像融合中的应用

探讨了GPU的发展历史和硬件特性,针对融合处理中不同的遥感影像数据源在GPU中实现了HIS变换融合、加权融合、Brovey比值融合,并与其在CPU中的实现做了比较,得到的融合影像是一致的。