新型低损耗1×3光分路器的优化设计

针对传统Y分支光分路器损耗较大的缺陷，采用直锥形波导代替传统的直波导来减小器件的尺寸，并且采用激模波导结构设计1×3分支波导。设计中，利用辐射模和本征基模的叠加来修正光波场，通过改善模匹配来降低分支耦合损耗，并通过对对称输出弯曲分支波导的优化来降低弯曲损耗，最后在1×3光分路器中的两弯曲波导的输入端加入过渡锥形波导来降低损耗和优化分路器的输出均匀性，并用有限差分光束传播法对该1×3分支波导进行数值模拟。模拟结果表明，该结构具有均匀性好、器件尺寸小、损耗小和结构简单等优点，有利于器件的进一步集成。     

基于RF MEMS开关的新型双频带功率放大器

RF MEMS开关具有低损耗、低功耗、尺寸小和易于集成等优点而被广泛应用于各种可重构射频电路及系统中。通过分析比较电容并联式和串联式RF MEMS开关两种电路结构的射频性能,设计了一种基于RF MEMS开关的新型功率放大器,使用RF MEMS开关控制匹配网络来实现双工作频带的转换。结果表明,设计的功率放大器在2.35GHz和1.25GHz两个工作频带下,功率附加效率(PAE)和输出功率(Pout)可分别达到72%、67%及40.8、42.7dBm。该功率放大器具有较高的功率附加效率和输出功率,适用于多频带的射频系统,对RF MEMS器件在可重构系统中的应用具有一定参考价值。     

一种基于查询事件的域名服务器日志模型

提出了一种基于查询事件的日志模型,采用查询/应答日志匹配的方法完整的记录了一次查询事件,利用内存数据结构提高了海量数据写入的I/O效率;在日志分析过程中对日志文件建立二维哈希索引,利用布隆过滤器减少磁盘I/O次数,提高了分析效率.     

Robust Output Tracking Control of an Uncertain Linear System via a Modified Optimal Linear-Quadratic Method

This study investigates the robust output tracking problem for a class of uncertain linear systems. The uncertainties are assumed to be time invariant and to satisfy the matching conditions. According to the selected nominal parameters, an optimal solution with a prescribed degree of stability is determined. Then, an auxiliary input via the use of an adapting factor, connected to the nominal optimal control, is introduced to guarantee the robustness and prescribed degree of stability for the output tracking control of the uncertain linear systems. This method is very simple and effective and can reject bounded uncertainties imposed on the states. A maglev vehicle model example is given to show its effectiveness.     

The consensus string problem for a metric is NP-complete

Given a set S of strings, a consensus string of S based on consensus error is a string w that minimizes the sum of the distances between w and all the strings in S. In this paper, we show that the problem of finding a consensus string based on consensus error is NP-complete when the penalty matrix is a metric.     

The Cauchy Problem for the System of Maxwell Equations

We consider the problem of analytic continuation of a solution to the system of Maxwell equations in a bounded spatial domain from data on part of the boundary of the domain. We construct an approximate solution to the problem using the Carleman matrix method.     

A Comparative Study on Dynamic and Static Sparsity Patterns in Parallel Sparse Approximate Inverse Preconditioning

Sparse approximate inverse (SAI) techniques have recently emerged as a new class of parallel preconditioning techniques for solving large sparse linear systems on high performance computers. The choice of the sparsity pattern of the SAI matrix is probably the most important step in constructing an SAI preconditioner. Both dynamic and static sparsity pattern selection approaches have been proposed by researchers. Through a few numerical experiments, we conduct a comparable study on the properties and performance of the SAI preconditioners using the different sparsity patterns for solving some sparse linear systems. This revised version was published online in July 2006 with corrections to the Cover Date.     

Prefiltration technique via aggregation for constructing low‐density high‐quality factorized sparse approximate inverse preconditionings

This paper considers a new approach to a priori sparsification of the sparsity pattern of the factorized approximate inverses (FSAI) preconditioner using the so‐called vector aggregation technique. The suggested approach consists in construction of the FSAI preconditioner to the aggregated matrix with a prescribed sparsity pattern. Then small entries of the computed ‘aggregated’ FSAI preconditioning matrix are dropped, and the resulting pointwise sparsity pattern is used to construct the low‐density block sparsity pattern of the FSAI preconditioning matrix to the original matrix. This approach allows to minimize (sometimes significantly) the construction costs of low‐density high‐quality FSAI preconditioners. Numerical results with sample matrices from structural mechanics and thin shell problems are presented. Copyright © 2002 John Wiley & Sons, Ltd.     

强模拟在带权有向图的扩展及其匹配结果的排序

图模式匹配是互联网海量数据库应用的关键技术。强模拟是现在一种实际应用效果较好的图模式匹配模型,但它无法对匹配结果按照重要程度排序。本文将强模拟推广到了带权有向图中,使用边的权值衡量和比较不同匹配子图或子图内部不同顶点的重要性,对匹配结果进行排序。     

改进的基于弦切变换的目标检测方法

在计算机视觉中形状是目标识别和检测的重要特征,针对目前许多基于形状特征的检测方法信息不够丰富,容易受边缘缺损变形等方面的影响,不具有局部特性,尤其是在许多复杂环境下很难实现对目标的正确检测等不足,提出了一种基于弦切变换理论在有限的目标边缘点信息基础上提取几何形状特征及相应的目标检测方法。该特征具有平移、旋转以及缩放不变性,基于此特征进行的目标检测能有效的得到目标的中心位置以及相关的二维运动参数,即使在一些复杂环境以及目标边缘部分失真或缺损的情况下也具有一定的鲁棒性。但由于边缘本身容易受到图像质量、对比度以及量化误差等影响,从而影响算法的精度。因此,文中通过融合丰富的灰度信息,使表征目标的特征更加丰富和完善,在形状和灰度的共同约束下提高检测的正确率和精确性。通过对多组图像序列进行仿真实验,结果表明了算法的有效性,及其在准确性和精确性上的提高,改进后待测目标与模板之间的匹配率可达90%以上。