Skeleton pruning as trade-off between skeleton simplicity and reconstruction error

The position and orientation of moving platform mainly depends on global positioning system and inertial navigation system in the field of low-altitude surveying, mapping and remote sensing and land-based mobile mapping system. However, GPS signal is unavailable in the application of deep space exploration and indoor robot control. In such circumstances, image-based methods are very important for self-position and orientation of moving platform. Therefore, this paper firstly introduces state of the art development of the image-based self-position and orientation method (ISPOM) for moving platform from the following aspects: 1) A comparison among major image-based methods (i.e., visual odometry, structure from motion, simultaneous localization and mapping) for position and orientation; 2) types of moving platform; 3) integration schemes of image sensor with other sensors; 4) calculation methodology and quantity of image sensors. Then, the paper proposes a new scheme of ISPOM for mobile robot — depending merely on image sensors. It takes the advantages of both monocular vision and stereo vision, and estimates the relative position and orientation of moving platform with high precision and high frequency. In a word, ISPOM will gradually speed from research to application, as well as play a vital role in deep space exploration and indoor robot control.     

Fast two-dimensional weighted least squares techniques for the design of two-dimensional finite impulse response filters

This paper focuses on the design of two-dimensional (2D) quadrantally symmetric finite impulse response (FIR) filters, and presents three very efficient algorithms for the weighted least squares (WLS) design with a weight matrix that assigns four different weights to four different frequency bands. The first algorithm seeks for iterative solutions to the matrix equation describing the optimality condition of the design problem. The second algorithm aims at the limit solution of the solution sequence to the first algorithm, analytically obtained by using matrix diagonalization techniques. The third algorithm belongs to the category of iterative reweighting techniques. It uses the second algorithm as its iteration core, and aims at reducing the maximum magnitude error of the filter by iteratively adjusting the four entry values of the weight matrix. Design examples are provided to demonstrate the performance of the proposed algorithms.     

Simulation-based time-dependent reliability analysis for composite hydrokinetic turbine blades

The reliability of blades is vital to the system reliability of a hydrokinetic turbine. A time-dependent reliability analysis methodology is developed for river-based composite hydrokinetic turbine blades. Coupled with the blade element momentum theory, finite element analysis is used to establish the responses (limit-state functions) for the failure indicator of the Tsai–Hill failure criterion and blade deflections. The stochastic polynomial chaos expansion method is adopted to approximate the limit-state functions. The uncertainties considered include those in river flow velocity and composite material properties. The probabilities of failure for the two failure modes are calculated by means of time-dependent reliability analysis with joint upcrossing rates. A design example for the Missouri river is studied, and the probabilities of failure are obtained for a given period of operation time.     

杆塔倾角监测与报警系统的设计

分析杆塔的环境条件对杆塔倾角监测与报警系统提出的要求,采用太阳能电池板和蓄电池联合供电的方式,设计具有定时唤醒机制的两级MCU控制的集散控制中心,一级MCU以中断方式接收加速度计传感器采集的数据,二级MCU将数据转换成RS-485传输方式,经过光纤转换模块以光缆传输到指挥控制中心,实现了信息的可靠获取及传输;该系统体积小、成本低、微功耗、可靠性高、可维护性强,可用于各种环境的倾角指示和测量。     

篮球比赛记时记分器设计

以P89V51RB2单片机为核心结合ZLG7289B外围显示管理芯片,使用LED点阵和七段数码管共同进行显示,完成了记时与记分的功能;该装置可以显示当前节次,比赛剩余时间,双方比分,并能够根据实际情况对比赛的时间及分数进行修改。     

Parallel block tridiagonalization of real symmetric matrices

Two parallel block tridiagonalization algorithms and implementations for dense real symmetric matrices are presented. Block tridiagonalization is a critical pre-processing step for the block tridiagonal divide-and-conquer algorithm for computing eigensystems and is useful for many algorithms desiring the efficiencies of block structure in matrices. For an “effectively” sparse matrix, which frequently results from applications with strong locality properties, a heuristic parallel algorithm is used to transform it into a block tridiagonal matrix such that the eigenvalue errors remain bounded by some prescribed accuracy tolerance. For a dense matrix without any usable structure, orthogonal transformations are used to reduce it to block tridiagonal form using mostly level 3 BLAS operations. Numerical experiments show that block tridiagonal structure obtained from this algorithm directly affects the computational complexity of the parallel block tridiagonal divide-and-conquer eigensolver. Reduction to block tridiagonal form provides significantly lower execution times, as well as memory traffic and communication cost, over the traditional reduction to tridiagonal form for eigensystem computations.     

基于GPU的多分辨率体数据重构和渲染

基于小波变换的多分辨率压缩算法能够获得很高的压缩比,因而被广泛地用于压缩体数据.针对这种压缩策略,研究基于GPU的数据重构的方法,可以只从CPU向GPU传输少量的压缩数据,从而提高数据传输效率.因为好的数据结构是实现基于GPU的重构算法的关键,所以文中提出适合使用矩形纹理表示的数据结构--Nested Tileboard;然后给出基于该数据结构在GPU上实现多分辨率重构的方法,使用Nested Tileboard保存中间数据及重构结果;还提出了基于Nested Tileboard的多分辨率体绘制方法,直接对重构数据进行体绘制,从而实现数据重构和体绘制的无缝连接.     

基于Lucene/Heritrix的垂直搜索引擎的研究与应用

Lucene是一个用Java写的全文索引引擎工具包,访问索引时间快,支持多用户访问,可以跨平台使用.Heritrix是一个由Java开发的、开源的Web网络爬虫,用户可以使用它从网络上抓取想要的资源.探讨了Lucene和Heritrix在构建垂直搜索引擎中的应用.     

德化陶瓷虚拟展厅

讨论了虚拟现实技术用于陶瓷展示的可行性,关键技术和系统的实现过程.利用3DSMAX和PhotoShop建立展厅和瓷器的三维模型,并使用贴图技术增强瓷器模型的真实感;使用开源的图形渲染引擎0GRE实现场景资源的组织和管理,并基于OGRE实现了虚拟展厅的实时交互和动态漫游功能.     

双酚A型聚碳酸酯快速拉伸过程的分子动力学模拟

本文采用用分子动力学方法研究了双酚A型聚碳酸酯的快速拉伸过程.采用COMPASS力场和NPT系综研究了应力应/变关系、能量/应变关系等.应力-应变曲线的研究结果显示,前"屈服点"和后"屈服点"分别为0.14和0.17,应变≤0.05为"弹性区域".0.14<ε_(xx)<1.05的区域为"塑性区域",ε_(xx)>1.05属于"硬化"区.能量-应力关系的研究结果显示,在应力-应变呈线性关系的"弹性区域",体系的总势能及各势能分量随应变增大发生不规则的波动.为了从能量的角度解释PBC-PC在外部拉伸条件下的应变情况,本文还研究了体系总能量与各能量分项,与应变的关系,对链结构与能量分项的关系进行了讨论.