多频多色光谱角色散束匀滑新方案

典型的光谱角色散技术中,由于光束带宽受限于高效三倍频,因而无法通过增大带宽来进一步改善焦斑均匀性.结合对四色打靶方案和多级相位调制技术的综合分析,提出了多频、多色光谱角色散束匀滑新方案.该方案能在保持高效三倍频基础上,获得带宽有所加宽,光谱包络近似连续的光源,且在远场匀滑上具有更为独特的优势.结果表明,采用束匀滑新方案后,虽然焦斑会有所增大,但其均匀性却得到明显改善;与典型的束匀滑方案相比,该方案能更为有效地抑制热斑,且达到最佳匀滑效果所需的时间有所减短.此外,通过对阵列光栅中子光栅刻线方向的自由组合可以实现多维光谱角色散的效果.     

基于焦斑空间频率全域优化的偏振匀滑设计

偏振匀滑是利用光束偏振特性降低焦斑对比度的一种技术,它最大可降低焦斑对比度为原来的1/√2. 焦斑的频谱分析显示,传统楔形晶体的偏振匀滑对焦斑对比度的改善只集中在某些特定的空间频率,本文因此提出了一种可全域降低焦斑空间频率的偏振匀滑方法,它采用单轴晶体对入射光的角度不同而产生的相移不同的方法,实现激光两种正交偏振态在靶点的分离. 理论分析和数值模拟表明,新方法可以实现焦斑空间频率中高频段的全频域降低,焦斑对比度也可同时达到1/√2的最大程度的改善. 分析了连续相位板作为新方法引入激光入射角分布不同的条件,确定了刻蚀连续相位板面形的晶体同时实现焦斑整形和偏振匀滑的边界条件. 关键词： 偏振匀滑 焦斑功率谱 响应函数 焦斑整形     

基于K邻近均值滤波器的自适应Canny边缘检测

本文在分析传统Canny算子的优缺点基础上,针对其在平滑滤波和阈值选取上的不足,提出了新的改进算法.该算法首先采用K邻近均值滤波器对图像进行预处理,然后利用非极大值抑制过程后图像本身的信息来自动产生高低阈值对图像进行边缘检测.经过实验证实,使用本算法检测到的边缘连续性更好,边缘细节更丰富,同时阈值选择的自适应能力有所提高.     

基于粗糙集的图像平滑研究

由于图像信息本身的复杂性和它们之间有较强的相关性,在处理过程中可能出现不完整性和不确定性问题.粗糙集理论是一种新的处理模糊和不确定性问题的数学工具.本文提出一种粗糙集理论和传统的选择式掩模平滑法相结合的新的图像平滑算法,该算法首先通过像素点的粗糙集近似相似度来判断像素所属的掩模,然后对图像进行平滑处理.该算法利用Matlab编写实现,仿真试验结果表明该算法比传统算法有很大改进,在去除噪声的同时,保持了图像的细节,提高了图像的对比度,质量高于传统的预处理方法处理的图像.     

Research on stateful public key based secure data aggregation model for wireless sensor networks

Data aggregation technology reduces traffic overhead of wireless sensor network and extends effective working time of the network,yet continued operation of wireless sensor networks increases the probability of aggregation nodes being captured and probability of aggregated data being tampered.Thus it will seriously affect the security performance of the network.For network security issues,a stateful public key based SDAM (secure data aggregation model) is proposed for wireless sensor networks (WSNs),which employs a new stateful public key encryption to provide efficient end-to-end security.Moreover,the security aggregation model will not impose any bound on the aggregation function property,so as to realize the low cost and high security level at the same time.     

双馈感应风电机功率平滑控制与改善电网频率的研究

在分析双馈感应风力发电机运行特性和传统最大风能追踪控制策略的基础上,提出了一种基于约束因子限幅控制的双馈电机有功功率平滑控制策略,给出了约束因子α的表达式和取值规则.在matlab/simulink仿真平台上,搭建了一个9 MW的风电场与2台同步电机的互联系统.实验结果表明,与传统的最大风能追踪控制策略相比,所提控制策...     

Range‐independent background subtraction algorithm for recovery of Raman spectra of biological tissue

An important requirement for the use of Raman spectroscopy for tissue diagnostic applications is an appropriate algorithm that can faithfully retrieve weak tissue Raman signals from the measured raw Raman spectra. Although iterative modified polynomial‐fitting‐based automated algorithms are widely used, these are sensitive to the choice of the fitting range, thereby leading to significantly different Raman spectra for different start and stop wavenumber selection. We report here an algorithm for automated recovery of the weak Raman signal, which is range independent. Given a raw Raman spectrum and the choice of the start and the stop wavenumbers, the algorithm first truncates the spectrum to include the raw data within this wavenumber range, linearly extrapolates the truncated raw spectrum beyond the points of truncation on the two sides by using coefficients of linear least‐square fit, adds two Gaussian peaks of appropriate height and width on the extrapolated linear wings on either side and then iteratively smoothens the data with all these add‐ons such that the smaller of the ordinate values of the smoothed and the starting raw data serve as the input to each successive round of iterative smoothing until the added Gaussian peaks are fully recovered. The algorithm was compared with the modified polynomial‐based algorithms using mathematically simulated Raman spectrum as well as experimentally measured Raman spectra from various biological samples and was found to yield consistently range‐independent and artifact‐free Raman signal with zero baseline. Copyright © 2012 John Wiley & Sons, Ltd.     

The initial value problem for some hyperbolic‐dispersive system

We consider the initial value problem for some nonlinear hyperbolic‐dispersive systems in one space dimension. Combining the classical energy method and the smoothing estimates for the Airy equation, we guarantee the time local well‐posedness for this system. We also discuss the extension of our results to more general hyperbolic‐dispersive system. Copyright © 2011 John Wiley & Sons, Ltd.     

Smoothing method in multi-criteria transportation network equilibrium problem

ABSTRACT

This paper is aimed to study a single-product multi-criteria transportation network with capacity constraints. We use a vector version of the Heaviside Step function to construct an optimization problem, the solutions of which form the set of equilibria of our model. We propose two methods to solve this problem. The first one is based on a modified Frank-Wolfe gradient algorithm, and the second one is based on smoothing the objective function, the optimal solutions of which can be obtained by optimization tools. Numerical examples are also given to illustrate our approaches.     

随机右删失非参数回归模型的影响分析

将随机删失非参数固定设计回归模型转化为非参数回归模型进行研究;然后对此模型作了局部影响分析,得到计算影响矩阵及最大影响曲率方向的简洁公式;最后通过实例分析,验证了分析方法的有效性.