大型实时计算机系统性能的改善

民航旅客服务计算机(定座)系统从1985年初建于香港,到目前已经整整运行了10年。在这10年里系统从1985年仅广州一个城市投产到现在已经初具规模。整个系统到目前已经连接9200多台终端机,分布在国内、国外230个城市,为国内20个航空公司包括航空公司驻外办事处提供每天24小时、每年365天的全天候服务。系统10年累计处理旅客14000万人次,运行如此庞大的系统,每天遇到的     

分析二维导体电磁散射问题的FEM/POPTD方法——TE模(英文)

提出了一种分析计算带有裂缝的二维电大尺寸复杂导体目标电磁散射问题的混合方法—— FEM/ PO-PTD方法。该方法采用基于棱边的有限元法 ( Edge-basedFEM)为低频方法 ,物理光学法与物理绕射理论 ( PO-PTD)为高频方法 ,通过耦合技术将两者结合在一起。本文将该方法应用于带有缝隙的二维导电柱 TE模的电磁散射特性分析 ,计算结果与有关文献的数据一致性很好 ,从而验证了该方法的准确性。文中还给出了另外几种截面的导电柱体雷达截面的计算曲线。理论分析与计算结果表明 ,本文提出的混合方法与其他计算同类问题的方法相比 ,能节省计算机存储单元、提高计算速度     

MINIMUM ATTRIBUTE CO-REDUCTION ALGORITHM BASED ON MULTILEVEL EVOLUTIONARY TREE WITH SELF-ADAPTIVE SUBPOPULATIONS

Attribute reduction is an important process in rough set theory.Finding minimum attribute reduction has been proven to help the user-oriented make better knowledge discovery in some cases.In this paper,an efficient minimum attribute reduction algorithm is proposed based on the multilevel evolutionary tree with self-adaptive subpopulations.A model of multilevel evolutionary tree with self-adaptive subpopulations is constructed,and interacting attribute sets are better decomposed into subsets by the self-adaptive mechanism of elitist populations.Moreover it can self-adapt the subpopulation sizes according to the historical performance record so that interacting attribute decision variables are captured into the same grouped subpopulation,which will be extended to better performance in both quality of solution and competitive computation complexity for minimum attribute reduction.The conducted experiments show the proposed algorithm is better on both efficiency and accuracy of minimum attribute reduction than some representative algorithms.Finally the proposed algorithm is applied to magnetic resonance image(MRI)segmentation,and its stronger applicability is further demonstrated by the effective and robust segmentation results.