高层空间框架结构动力分析的超级元子结构模型

本文将超级元和子结构的思想相结合,根据框架结构的变形特点,建立了高层空间框架结构动力分析的超级元子结构模型。模型中将楼面划分为子结构,在总结构层次将各子结构假想为二维连续体后用超级元来描述,而在子结构内部仍用经典有限元三维梁单元模拟。据此,框架梁位于同一超级元内,而框架柱连接不同的超级元。通过假设子结构内部结点自由度与总结构结点自由度的位移关系,得到超级元的质量矩阵以及框架梁和框架柱的单元刚度方程。该模型中空间框架结构的动力和非动力自由度均有大幅度的缩减,而刚性楼面假定可以进一步减少计算量。最后通过一幢30层钢筋混凝土空间框架结构的动力特性分析验证本文理论的正确性和适用性。     

基于敏度阈值拓扑优化方法在飞机加强框设计中的应用

为了能够有效地降低飞机结构承力件的重量,针对飞机骨架,以加强框的概念设计为研究内容,通过对“敏度阈值”概念的分析,指出其不足,提出了“改进的敏度阈值”概念,并与“约束补偿”策略结合而形成新的拓扑优化算法,用于加强框的材料布局设计．多个算例中的拓扑优化结果均显示其结构型式十分新颖,值得深入地探讨．     

Invariant Logics

A moda logic Λ is called invariant if for all automorphisms α of NExt K , α(Λ) = Λ. An invariant ogic is therefore unique y determined by its surrounding in the attice. It wi be established among other that a extensions of K.alt ₁ S4.3 and G.3 are invariant ogics. Apart from the results that are being obtained, this work contributes to the understanding of the combinatorics of finite frames in genera, something wich has not been done except for transitive frames. Certain useful concepts will be established, such as the notion of a d‐homogeneous frame.     

Computing the flow around a moving profile by numerically integrating the Navier–Stokes equations

A vorticity velocity formulation is proposed for the solution of the equations for viscous flow around a moving profile. A non-inertial reference frame is used and the velocities are computed from a Poincaré integral formula. The studies are directed towards the need to understand helicopter blade aerodynamics. Worked examples are given which validate the method and programme for laminar flows, at least for low Reynolds numbers. © 1998 John Wiley & Sons, Ltd.     

Frame starters and adders in dicyclic groups

We construct frame starters in dicyclic groups Q_2n, in particular we construct frame starters with adders in Q_2q, where q = pⁿ and p ≡ 3 mod 4 is a prime. We also deduce the existence of strong frame starters in Z_2n for odd integers n whose prime factors are congruent with 1 modulo 4. The obtained results imply the constructions of classes of Room frames of types 4^p and 2ⁿ. © 1998 John Wiley & Sons, Inc. J Combin Designs 6: 347–353, 1998     

基于共轭梯度法的感知矩阵优化方法

压缩感知理论中降低信号维数的关键问题是构造有效的测量矩阵。在已知稀疏基的情况下,基于ETF（Equiangular Tight Frame）框架的测量矩阵构造方法和稀疏信号重构过程均依赖于感知矩阵。为此,设计了一种基于共轭梯度法的感知矩阵优化方法,该方法简单易行,且所求结果的Gram矩阵与目标Gram矩阵更接近。 实验结果表明,此感知矩阵优化方法在理论分析、实际图像应用及算法有效性上均具优势。     

基于改进粒子群的薄壁变截面刚架临界载荷优化算法

针对大型变截面薄壁结构的稳定问题,以一类任意约束对称结构受非对称载荷的单跨刚架为研究对象,结构拆分为相关铁木辛柯（Timoshenko）梁,结合差分原理和最优化方法,以每段刚架的每个离散点挠度、临界载荷、轴力、剪力和梁端弯矩为设计变量,建立求解满足边界条件的非线性差分方程模型,提出基于优胜劣汰粒子更新的粒子群（IPSO）临界载荷优化算法。运用JAVA编程语言编制对应优化程序,分析典型算例并核实ABAQUS仿真结果。研究表明,本文提出的优化算法获得了有效的变形位型和高精度的临界载荷计算,能更好地描述刚架受力下位型和载荷的力学关系,进一步为工程设计与分析提供支持。     

Robust infrared target tracking using discriminative and generative approaches

The process of designing an efficient tracker for thermal infrared imagery is one of the most challenging tasks in computer vision. Although a lot of advancement has been achieved in RGB videos over the decades, textureless and colorless properties of objects in thermal imagery pose hard constraints in the design of an efficient tracker. Tracking of an object using a single feature or a technique often fails to achieve greater accuracy. Here, we propose an effective method to track an object in infrared imagery based on a combination of discriminative and generative approaches. The discriminative technique makes use of two complementary methods such as kernelized correlation filter with spatial feature and AdaBoost classifier with pixel intesity features to operate in parallel. After obtaining optimized locations through discriminative approaches, the generative technique is applied to determine the best target location using a linear search method. Unlike the baseline algorithms, the proposed method estimates the scale of the target by Lucas-Kanade homography estimation. To evaluate the proposed method, extensive experiments are conducted on 17 challenging infrared image sequences obtained from LTIR dataset and a significant improvement of mean distance precision and mean overlap precision is accomplished as compared with the existing trackers. Further, a quantitative and qualitative assessment of the proposed approach with the state-of-the-art trackers is illustrated to clearly demonstrate an overall increase in performance.     

面向内容的立体视频帧重要性区分模型研究

异构网络引起的视频传输失真是影响视频终端感知质量的重要因素,通常只能在解码端进行评估和补偿。因此在编码端建立一个面向内容的立体视频传输失真模型,考虑错误隐藏和错误扩散两种失真,通过近似估计视频中各帧对终端质量的贡献度,从而实现每帧重要性的区分。新模型综合考虑了视频帧编码位置以及表征内容的编码模式、运动矢量、视差矢量等关键信息,可以作为视频在异构网络中传输策略的重要依据。