求解三维电磁问题的自适应区域分解FDTD方法

将三维电磁场问题的求解区域分解为若干独立的子区域,在各个子区域之间通过连接边界条件,进行自适应检测,当检测到波传播至检测边界上时,相应子区域被激活,并进行传统的FDTD迭代计算,否则该子区域置于休眠状态不参与场值迭代,从而减少计算时间.对三维微带互连结构的信号完整性仿真结果验证了这种采用边界检测的自适应区域分解时域有限差分(ADD-FDTD)方法在节省计算时间和解决复杂问题方面的有效性.     

蓝牙自适应跳频序列的性能分析

蓝牙自适应跳频序列性能优越,有着广泛的应用前景.通过仿真计算,分析了蓝牙自适应跳频序列的频率均匀性、汉明相关特性、跳频间隔分布特性、序列的线性复杂度、组网特性和系统容量.     

AN ADAPTIVE UNSTRUCTURED TRI-TREE ITERATIVE SOLVER FOR MIXED FINITE ELEMENT FORMULATION OF THE STOKES EQUATIONS

An iterative adaptive equation solver for solving the implicit Stokes equations simultaneously with tri-tree grid generation is developed. The tri-tree grid generator builds a hierarchical grid structure which is mapped to a finite element grid at each hierarchical level. For each hierarchical finite element grid the Stokes equations are solved. The approximate solution at each level is projected onto the next finer grid and used as a start vector for the iterative equation solver at the finer level. When the finest grid is reached, the equation solver is iterated until a tolerated solution is reached. In order to reduce the overall work, the element matrices are integrated analytically beforehand. The efficiency and behaviour of the present adaptive method are compared with those of the previously developed iterative equation solver which is preconditioned by incomplete LU factorization with coupled node fill-in. The efficiency of the incomplete coupled node fill-in preconditioner is shown to be largely dependent on the global node numbering. The preconditioner is therefore tested for the natural node ordering of the tri-tree grid generator and for different ways of sorting the nodes.     

FORCE FIELDS ON INVISCID,SLENDER, ANNULAR LIQUID JETS

Regular perturbation expansions are used to analyse the fluid dynamics of unsteady, inviscid, slender, thin, incompressible (constant density), axisymmetric, upward and downward, annular liquid jets subjected to non-homogeneous, conservative body forces when both the annular jets are very thin and the gases enclosed by and surrounding the jet are dynamically passive. Both inertia- and capillarity-dominated annular jets are considered. It is shown that, for inertia-dominated jets, closure of the leading-order equations is achieved at second order in the perturbation parameter, which is the slenderness ratio, whereas closure is achieved at first order for capillarity-dominated jets. The steady leading-order equations are solved numerically by means of both an adaptive finite difference method which maps the curvilinear geometry of the jet onto a unit square and a fourth-order-accurate Runge–Kutta technique. It is shown that the fluid dynamics of steady, annular liquid jets is very sensitive to the Froude and Weber numbers and nozzle exit angle in the presence of non-homogeneous, conservative body forces. For upward jets with inwardly or axially directed velocities at the nozzle exit the effect of the non-homogeneous, conservative body forces is to increase the leading-order axial velocity component, decrease the jet's mean radius and move the stagnation point downstream. For downward jets with radially outward velocity at the nozzle exit the axial velocity component decreases monotonically as the magnitude of the non-homogeneous, conservative body forces is increased.     

基于特征融合和L-M算法的车辆重识别方法

车辆重识别是在视频监控系统中, 匹配不同外界条件下拍摄的同一车辆目标的技术。针对车辆重识别时不同摄像机中同一车辆的图像差异较大,单一特征难以稳定地描述图像的问题,采用多种特征融合实现车辆特征的提取,该方法将车辆图片的HSV特征和LBP特征进行融合,并对融合特征矩阵进行奇异值分解,提取特征值。针对重识别模型训练时传统BP算法收敛速度慢,精度不高的问题,采用Levenberg-Marguardt自适应调整算法优化BP神经网络。实验结果表明,该方法在车辆的同一性识别方面的识别率达到975%,且对光照变化、视角变化都具有较好的鲁棒性。     

Synchronization in a fractional-order dynamic network with uncertain parameters using an adaptive control strategy

This paper studies synchronization of all nodes in a fractional-order complex dynamic network. An adaptive control strategy for synchronizing a dynamic network is proposed. Based on the Lyapunov stability theory, this paper shows that tracking errors of all nodes in a fractional-order complex network converge to zero. This simple yet practical scheme can be used in many networks such as small-world networks and scale-free networks. Unlike the existing methods which assume the coupling configuration among the nodes of the network with diffusivity, symmetry, balance, or irreducibility, in this case, these assumptions are unnecessary, and the proposed adaptive strategy is more feasible. Two examples are presented to illustrate effectiveness of the proposed method.     

自适应一致性高阶无单元伽辽金法

近来提出的一致性高阶无单元伽辽金法通过导数修正技术大幅度减少了所需积分点数目,并能够精确地通过线性和二次分片试验,显著改善标准无单元伽辽金法的计算效率、精度和收敛性.本文在此基础之上,充分利用无单元法易于在局部区域添加节点的优势,发展了一致性高阶无单元伽辽金法的h型自适应分析方法.根据应变能密度梯度该方法自适应地确定需节点加密的区域,基于背景积分网格的局部多层细化要求生成新的计算节点,同时考虑了节点分布由密到疏渐进过渡的情形.采用相邻两次计算的应变能的相对误差作为自适应过程的停止准则,将所发展自适应无网格法应用于由几何外形、边界外载和体力等因素造成的应力集中问题的计算分析.数值结果表明,所发展方法能够自适应地对高应力梯度区域进行节点加密,自动给出合理的计算节点分布.与已有的标准无网格法的自适应分析相比,所发展方法在计算效率、精度和应力场光滑性等方面均展现出显著优势.与采用节点均匀分布的一致性高阶无单元伽辽金法相比,它大幅度地减少了计算节点数目,有效提高了一致性高阶无单元伽辽金法在分析应力集中等存在局部高梯度问题时的计算效率和求解精度.     

自适应同步参数未知的异结构分数阶超混沌系统

基于分数阶系统稳定理论,实现了分数阶超混沌CYQY系统与参数未知的分数阶超混沌Lorenz系统间的异结构自适应同步.不仅设计了控制器,还设计了参数自适应规则并保留了非线性项.数值仿真证实了自适应控制器的有效性. 关键词： 分数阶 超混沌 同步 自适应     

一种自适应交叉率和变异率的薄膜遗传算法

在并行移民操作的基础上,根据多层膜系迭代群体中各膜系的适应值信息,对每个膜系采取恰当的、自动适应搜索进程的交叉率和变异率。这样既保护了优良薄膜的设计方案,又能够在适应值整体水平不断提高的设计组群中,持续地产生更优良的薄膜设计结构。对增透膜的设计结果表明,采用提出的自适应遗传算法减小了早熟,提高了算法快速搜索合格膜系结构的能力。     

多尺度Markov模型的可适应图像分割方法

本文在图像分割的TSMAP(trainable sequential maximum a posterior)方法基础上,提出基于多尺度Markov模型的可适应ATSMAP(adaptive TSMAP)图像分割方法.在给定训练图像及其基本真实分割(ground truth segmentation,GTS)的基础上,通过直接对原始图像的GTS进行小波变换产生粗尺度上的GTS,进而估计出图像数据的分布参数和Markov四叉树模型参数;上下文模型参数根据上下文的低维特征(类别数量特征)而非上下文本身来估计.该方法具有上下文模型参数估计计算量小,Markov四叉树模型参数可针对特定的待分割图像重新优化等优点(模型适应过程),解决了TSMAP方法易导致过学习的问题,在待分割图像与训练图像的统计特性不匹配的情况下,仍能给出较好的分割结果.对合成图像与SAR图像的实验结果表明,这种方法的分割精度高于TSMAP和其它几种基于多尺度Markov模型的图像分割方法.