光束造型工艺

 1．光束造型工艺原理光束造型工艺(Photoforming Process),是一种用紫外线硬化树脂在光的照射下进行积分式造型的加工方法。这种树脂本为液态,经紫外线等光束照射后便成为固体(这一过程称之为“固化”)。     

有任意带满的紧束缚哈密顿量的实空间重整化群研究

本文运用实空间重整化群方法研究了有任意带满的无自旋的Fermi系统的行为。对于一维,求得了系统的基态能、相关函数和相关的临界分量,并与各向同性的s=1/2的X-Y模型进行了比较。对于D>1维,定性地讨论了系统的相关函数及临界分量。 关键词：     

高功率钕玻璃激光三倍频脉冲时间波形的研究

基于目前国内规模最大的激光驱动器——“神光Ⅱ”八路基频光已经实现功率平衡运行，通过改变其中若干路三倍频系统各调谐量的偏离，对输出三倍频波形进行束与束之间的横向对比研究.研究发现，对于Ⅱ类-Ⅱ类偏振失配三倍频系统，在影响转换效率的三个调谐量中，偏振分配角失配Δθ_p对三倍频波形影响最大；在入射基频功率密度约为1.0GW/cm²情况下，当三倍频系统三个调谐量都处在最佳匹配时，三倍频波形半峰全宽τ最小.研究工作为最终实现“神光Ⅱ”八路光束三倍频功率平衡输出提供了晶体调试 关键词： 三倍频 时间波形 功率平衡     

Complex Behavior in an Integrate-and-Fire Neuron Model Based on Small World Networks

Based on our previously pulse-coupled integrate-and-fire neuron model in small world networks, we investigate the complex behavior of electroencephalographic （EEG）-like activities produced by such a model. We find EEG-like activities have obvious chaotic characteristics. We also analyze the complex behaviors of EEG-like signals,such as spectral analysis, reconstruction of the phase space, the correlation dimension, and so on.     

时变离散切换系统的迭代学习控制

针对一类具有任意切换序列的时变离散切换系统的轨迹跟踪问题,提出了一种离散迭代学习控制算法.该算法在切换序列沿迭代轴不变而只沿时间轴变化的前提下,将整个有限时间区间划分为有限个子区间,并利用λ-范数对各个子区间上的收敛性进行了严格证明,给出了算法收敛的范数形式的充分条件.该方法不仅实现了时变离散切换系统在有限时间内对目标轨迹的完全跟踪,而且结构简单更便于工程实现.仿真结果验证了该方法的有效性.     

流体-孔隙介质圆柱界面波传播特性

研究流体-孔隙介质圆柱界面波传播特性,分析孔隙介质孔隙率等参数对频散曲线的影响。理论上建立了无限大流体包裹孔隙介质圆柱界面波的模型,利用孔隙介质弹性波动理论,通过数值模拟计算得到流体-孔隙介质圆柱的频散曲线及时域波形,并分析了孔隙介质为开孔和闭孔状态下孔隙介质圆柱半径、孔隙率及渗透率对频散曲线的影响。结果表明,时域上斯通利波可以被明显区分开,孔隙介质圆柱半径的变化改变了圆柱尺度,孔隙率的变化改变了孔隙介质的纵、横波波速,因此对于斯通利波频散曲线的影响较大。而渗透率的变化既不改变圆柱的尺度也不改变孔隙层的纵、横波速度,因此对斯通利波频散曲线影响较小。     

GEKF, GUKF and GGPF based prediction of chaotic time-series with additive and multiplicative noises

On the assumption that random interruptions in the observation process are modelled by a sequence of independent Bernoulli random variables, this paper generalize the extended Kalman filtering （EKF）, the unscented Kalman filtering （UKF） and the Gaussian particle filtering （GPF） to the case in which there is a positive probability that the observation in each time consists of noise alone and does not contain the chaotic signal （These generalized novel algorithms are referred to as GEKF, GUKF and GGPF correspondingly in this paper）. Using weights and network output of neural networks to constitute state equation and observation equation for chaotic time-series prediction to obtain the linear system state transition equation with continuous update scheme in an online fashion, and the prediction results of chaotic time series represented by the predicted observation value, these proposed novel algorithms are applied to the prediction of Mackey-Glass time-series with additive and multiplicative noises. Simulation results prove that the GGPF provides a relatively better prediction performance in comparison with GEKF and GUKF.     

Homotopic mapping solutions for generalized method of solitary wave complex Burgers equation

A class of generalized complex Burgers equation is considered. First, a set of equations of the complex value functions are solved by using the homotopic mapping method. The approximate solution for the original generalized complex Burgers equation is obtained. This method can find the approximation of arbitrary order of precision simply and reliably.     

简化分解图在计算布尔e-导数中的应用

为简化与-或-非代数系统中一阶和n 阶布尔e-导数的计算过程,提出了一种基于简化分解图的新方法.该方法通过计算简化分解图相应列的与运算得到一阶布尔e-导数,n 阶布尔e-导数通过计算倒置简化分解图来得到.该方法同样适用于含任意项逻辑函数一阶和n 阶布尔e-导数的计算.应用实例表明该方法具有直观、简单等特点.     

任意形体微粒分布的概率表述及其测量方法

对任意形体的三维微粒，引入了等相位二维散射截面的概念，建立了半椭圆概率组合模型，提出了形体特征参数η、影响因子T（η）与其形体概率分布函数P^η（η）的概念，以特征分布函数P（α，η）取代了球形粒度概率分布函数P^s(a)，在洛伦兹－米（Lorenz-Mie)散射理论的基础上，建立了P（α，η）的数学反演方程和实验测量方法。理论结果经非球形煤粉微粒的实验验证，效果较好。