组合非球面太阳能聚光镜的光学设计

提出了一种组合非球面反射型太阳能聚光镜并给出了设计方法。聚光镜由38片非球面组成,每一片非球面都由一组特定系数C,a₂,a₄,a₆,a₈,a₁₀的偶次非球面方程决定,是此特定非球面的一部分。根据非球面方程和光反射定律矢量形式,导出了非球面内壁上太阳反射光束的方向矢量与非球面系数C,a₂,a₄,a₆,a₈,a₁₀的关系,适当地选择这些非球面系数,即适当地调整非球面面型,可以使太阳反射光束具有特定的方向矢量,使入射到非球面内壁上的太阳光束反射后全部聚焦在某一特定的区域内,形成小的光斑。每组特定系数都用粒子群优化算法求得,并经计算机模拟和实验证明其聚焦效果。聚光镜的光束压缩比为330：1,其聚焦光斑可作为一种高温热源,而此聚光镜可以用在太阳能加热装置中。     

基于量子核函数算法的图像压缩研究

为了提高图像压缩的质量,提出量子核函数算法。首先采用自适应灰度阈值使图像归一化处理,用量子比特表示图像白色和黑色状态的出现概率;然后每个像素点的值被编码为量子角度向量;接着构造适应度函数的极小值获得高斯径向基核函数的最优核宽,在量子核影响半径以外的像素量子编码不再起引导作用;最后给出了算法流程。实验仿真显示本文算法的压缩重构效果清晰,PSNR最大,压缩时间最少。     

OPAST子空间跟踪数据压缩半盲多用户检测

基于子空间方法的最小均方误差半盲多用户检测的计算核心是对信号子空间的特征值与特征向量的同时跟踪.仅跟踪计算信号子空间特征向量的子空间跟踪算法不能直接应用于这种检测方法.利用数据压缩技术,提出一种只需跟踪计算信号子空间正交规范基的自适应数据压缩半盲多用户检测.将著名的正交投影逼近子空间跟踪(OPAST)算法应用于这种数据压缩半盲多用户检测,发现OPAST算法具有自然的数据压缩结构,在几乎不增加运算量的情况下即可实现数据压缩半盲多用户检测.仿真实验表明:基于OPAST算法的数据压缩半盲多用户检测具有良好的检测性能.     

受激布里渊散射的线宽压缩及时间相干性

首先从实验上研究了受激布里渊散射(SBS)的线宽压缩效应. 发现线宽压缩直接受到脉宽压缩的影响. 进而提出了一种通过测量SBS脉宽来测量SBS线宽的新方法. 在此基础上, 详细讨论了SBS的时间相干性, 指出 SBS的时间相干性不是固定不变的, 而是随线宽压缩的程度发生变化. 最后指出 SBS的脉宽压缩率和时间相干性不能同时达到最佳值.     

适用于放大自发辐射平滑光束的脉宽压缩方法

为了增加靶上的功率密度和耦合效率,基于饱和增益开关原理,发展了一种适用于放大自发辐射平滑光束的脉宽压缩方法。利用该方法,在赛格德大学的一台放电泵浦KrF准分子激光器上进行了实验,将该激光器输出的脉宽为14.5 ns的放大自发辐射光束压缩到了7.5 ns,并且保持了光束原有的均匀性。     

Hot deformation behavior and constitutive modeling of VCN200 low alloy steel

The hot working behavior of VCN200 medium carbon low alloy steel was analyzed by performing hot compression tests in temperature range of 850–1150 °C and at strain rates of 0.001–1 s⁻¹. Flow curves were typical of dynamic recrystallization during hot working over temperature range of 900–1150 °C and strain rates of 0.001–1 s⁻¹. However, at lower temperatures no indication of flow softening was observed. The constitutive analysis using the hyperbolic sine function was performed and the value of apparent activation energy for the hot deformation determined to be about 435 kJ/mol. The flow curves up to the peak were successfully modeled using a dynamic recovery model. All the factors in this model were defined in terms of the Zener–Hollomon parameter. A modified form of Avrami equation was used to estimate the fractional softening due to the dynamic recrystallization for any given strain in flow curve. Using this model, the flow curves were successfully predicted and generalized to different deformation conditions.     

Bunch compression study using the envelope model in CSRm

The feasibility of attaining a short-pulse-duration heavy ion beam with a nanosecond pulse length is studied in the main ring of the Heavy Ion Research Facility in Lanzhou (HIRFL). Such a heavy ion beam can be produced by non-adiabatic compression, and it is implemented by fast rotation in the longitudinal phase space. In this paper, the possible beam parameters during longitudinal bunch compression are studied by using the envelope model. The result shows that a shortest heavy ion bunch ²³⁸U²⁸⁺ of 29 ns with energy of 200 MeV/u can be obtained, which can satisfy high energy density physics research.     

Sparse finite element methods for operator equations with stochastic data

Let A: V → V′ be a strongly elliptic operator on a d-dimensional manifold D (polyhedra or boundaries of polyhedra are also allowed). An operator equation Au = f with stochastic data f is considered. The goal of the computation is the mean field and higher moments of the solution. We discretize the mean field problem using a FEM with hierarchical basis and N degrees of freedom. We present a Monte-Carlo algorithm and a deterministic algorithm for the approximation of the moment for k⩾1. The key tool in both algorithms is a “sparse tensor product” space for the approximation of with O(N(log N) ^k−1) degrees of freedom, instead of N ^k degrees of freedom for the full tensor product FEM space. A sparse Monte-Carlo FEM with M samples (i.e., deterministic solver) is proved to yield approximations to with a work of O(M N(log N) ^k−1) operations. The solutions are shown to converge with the optimal rates with respect to the Finite Element degrees of freedom N and the number M of samples. The deterministic FEM is based on deterministic equations for in D ^k ⊂ ℝ^kd. Their Galerkin approximation using sparse tensor products of the FE spaces in D allows approximation of with O(N(log N) ^k−1) degrees of freedom converging at an optimal rate (up to logs). For nonlocal operators wavelet compression of the operators is used. The linear systems are solved iteratively with multilevel preconditioning. This yields an approximation for with at most O(N (log N) ^k+1) operations. This work was supported under IHP Network “Breaking Complexity” by the Swiss BBW under grant No. 02.0418     

基于径向基函数神经网络的荧光光谱技术在菌种识别中的应用

对嗜酸乳杆菌、变异链球菌和保加利亚乳杆菌这三种菌的荧光光谱进行研究,发现在紫外光的激励下,益生菌溶液发出荧光.在最佳激发波长290　nm的激励下,荧光峰值在300—650　nm范围内.采用小波变换对测得的150组光谱数据进行压缩,压缩后每组数据由原来的1341个点减少为168个点,既保留了原图谱的特征,又提高了神经网络的处理速度.径向基函数神经网络方法对压缩后的数据进行研究,对每种菌的40组实验数据进行训练,在此基础上对30组未知数据进行识别.结果表明经过训练之后,径向基函数神经网络能够准确预测未知菌种. 关键词： 荧光光谱 径向基函数神经网络 数据压缩     

单轴应变驱动铁bcc—hcp相转变的微观模拟

用分子动力学方法模拟了沿〈001〉晶向应变加载和卸载情况下单晶铁中体心立方(bcc)与六方密排(hcp)结构的相互转变,分析了相变的可逆性和微结构演化特征.微观应力的变化显示样品具有超弹性性质,而温度变化表明在相变和逆相变过程中均出现放热现象.相变起始于爆发式均匀形核,晶核由块状颗粒迅速生长为沿{011}晶面的片状分层结构; 而卸载逆相变则从形核开始就呈现片状形态,且相界面晶面指数与加载相变完全一致,表现出形态记忆效应.在两hcp晶核生长的交界面易形成面心立方(fcc)堆垛层错. fcc通过在hcp晶粒内