简单雷达目标空域瞬态极化特性研究

极化是电磁波的一种矢量属性。不同目标对极化波的散射特性与目标的形状、材料、空间位置分布、运动状态以及入射电磁波的频率都有密切的关系。论文从最简单的复杂目标（两点散射模型）出发,利用几何绕射理论（GTD模型）建立了极化宽带散射模型,分析了模型的极化散射特性随入射电磁波频率变化的规律,并用矩量（MOM）方法进行了仿真,验证了结论的正确性,这对雷达目标的成像、散射特性的测量以及目标识别的描述有重要意义。     

不对称调制下双级矩阵变换器的谐波分析

  目的  针对舰船电力推进系统中矩阵变换器输出电压谐波特性,  方法  基于三重傅立叶级数,提出一种谐波解析计算方法。首先,结合三重傅立叶级数推导出直接传递函数调制法下矩阵变换器输出电压各谐波分量的解析解,然后,根据解析解对谐波分布规律及主要谐波分量进行分析,最后,与实验测得的输出电压波形的快速傅立叶变换（FFT）分析结果进行对比,以验证所提方法的可行性与结论的准确性。  结果  计算结果表明,高频段频率为f_c±f_in,2f_c±f_in的共模分量幅值较高。  结论  所提方法能够精确确定所有频段各次谐波分量的幅值和频率,为谐波抑制的研究提供理论依据,同时也可完善矩阵变换器的谐波分析理论。     

基于图论与故障树结合的控制系统故障诊断

探讨了一种图论与故障树结合的方法，可用于复杂控制系统的故障诊断，主要采用故障树图论模型的算法实现系统的故障诊断。图论（有向图）可直观反映故障传播关系，把故障节点分层，用矩阵表示节点与顶事件的关系，通过矩阵运算出各层节点到顶事件的通路长度，通过底事件的失效率算出各节点关键重要度，确定每条通路的权值，进而确定每一层故障节点的排查次序。矩阵表示便于计算机处理，避开了寻找故障树割集或路集的困难，提高了诊断效率。     

声阻抗在管路柔性元件降噪效果评估中的应用

本文根据传递矩阵法,建立了管路柔性元件的固有特性声阻抗和声学性能参数插入损失之间的关系.根据已有的管路柔性元件声阻抗参数获得不受工作环境影响的插入损失,给出管路柔性元件降噪效果的评估方法.     

矩阵方程AX=B的自反解与反自反解及最佳逼近

给定两个广义反射矩阵P,Q,通常对于矩阵方程AX=B关于P,Q的自反解和反自反解的研究大多是通过矩阵分解或广义奇异值分解来进行的。采用广义逆,建立该方程存在自反解和反自反解的充要条件以及解的一般表达式,并研究与之相关的矩阵最佳逼近问题。     

基于平整度的CRCP冲断区域维修标准研究

为了获得连续配筋混凝土路面冲断区域维修标准,本文首先建立冲断区域人-车-路耦合振动模型,然后利用传递矩阵法结合Matlab软件对振动方程进行求解,以获得乘客加速度随时间的变化和最大瞬态振动值(MTVV).研究发现:一定条件下车辆经过冲断区域时,其在做振幅减小的简谐振动;当车辆进入冲断区域0.22 s时乘客加速度最大,其值为1.57 m/s2.最后,考虑行车舒适性以最大瞬态振动值作为行驶舒适性评价指标,提出冲断区域维修标准的确定方法和步骤,并给出了相应算例.     

层次分析法在潜艇总体性能评估中的应用与改进

结合潜艇概念设计阶段的特点,提出一种潜艇总体性能的评估模型和评价方法,利用三标度法间接给出判断矩阵,在一定程度上减少了决策者主观因素的影响。针对经验方法在一致性检验时的缺陷,采用统计检验的方法,直接以判断矩阵一致性指标的临界值作为检验标准,简洁可行,且具有一定的理论依据。     

样本复杂性估计算法优化神经网络结构

在神经网络结构寻优中,样本复杂性估计算法是期望在寻优之前先对问题的规模有所估计,进而根据规模给出一个结构,使之不用从最小结构开始一一尝试。频域分析及仿真实验结果均证明了此算法的有效性。     

A theoretical foundation for the relationship between generalized origin–destination matrix and flow matrix based on ordinal graph trajectories

This paper shows the relationship between flow, generalized origin–destination (OD), and alternative route flow from a set of ordinal graph trajectories. In contrast to traffic assignment methods that employ OD matrix to produce flow matrix, we use ordinal trajectory on a network graph as input and produce both the generalized OD matrix and the flow matrix, with the alternative and substitute route flow matrices as additional outputs. By using linear algebra‐like operations on matrix sets, the relationship between network utilization (in terms of flow, generalized OD, alternative route flow, and desire line) and network structure (in terms of distance matrix and adjacency matrix) are derived. Copyright © 2012 John Wiley & Sons, Ltd.     

A zonal inference model based on observed smart-card transactions for Santiago de Chile

The collection of origin–destination data for a city is an important but often costly task. This way, there is a need to develop more efficient and inexpensive methods of collecting information about citizens’ travel patterns. In this line, this paper presents a generic methodology that allows to infer the origin and destination zones for an observed trip between two public transport stops (i.e., bus stops or metro stations) using socio-economic, land use, and network information. The proposed zonal inference model follows a disaggregated Logit approach including size variables. The model enables the estimation of a zonal origin–destination matrix for a city, if trip information passively collected by a smart-card payment system is available (in form of a stop-to-stop matrix). The methodology is applied to the Santiago de Chile’s morning peak period, with the purpose of serving as input for a public transport planning computational tool. To estimate the model, information was gathered from different sources and processed into a unified framework; data included a survey conducted at public transport stops, land use information, and a stop-to-stop trip matrix. Additionally, a zonal system with 1176 zones was constructed for the city, including the definition of its access links and associated distances. Our results shows that, ceteris paribus, zones with high numbers of housing units have higher probabilities of being the origin of a morning peak trip. Likewise, health facilities, educational, residential, commercial, and offices centres have significant attraction powers during this period. In this sense, our model manages to capture the expected effects of land use on trip generation and attraction. This study has numerous policy implications, as the information obtained can be used to predict the impacts of changes in the public transport network (such as extending routes, relocating their stops, designing new routes or changing the fare structure). Further research is needed to improve the zonal inference formulation and origin–destination matrix estimation, mainly by including better cost measures, and dealing with survey and data limitations.