基于三维荧光光谱的花生油掺伪快速检测研究

建立一种基于三维荧光光谱的花生油掺伪检测方法。以纯花生油和掺伪4种常见植物油的花生油为研究对象,将三维荧光光谱图处理转化为灰度图,利用Zernike图像矩直接提取三维荧光光谱灰度图的特征信息,得到的特征信息数据通过Xgboost算法和广义回归神经网络（GRNN）算法分别建立定性和定量掺伪判别模型并对其进行验证。结果表明：Xgboost算法可以有效地对掺伪的花生油进行鉴别,并准确解析其掺伪具体成分;GRNN算法可定量预测花生油掺伪含量,各检出限分别为掺伪大豆油0.2%、掺伪菜籽油1.5%、掺伪玉米油1.0%、掺伪葵花籽油0.5%。因此,该方法可对花生油掺伪进行定性和定量分析,具有快速、简便、灵敏度高等优点。     

频率选择表面电磁仿真

文中采用谱域法对频率选择表面(Frequency Selective Surfaces)进行仿真,谱域法是与矩量法结合在一起的.谱域法与国内常用的模式匹配法相比能仿真具有更复杂形状的FSS单元,且在计算多个介质夹层中的FSS计算量小,并能得出非常理想的仿真结果并用于设计.本文采用这种方法得到的结果与实测结果相吻合.     

基于MATLAB的球面干涉仪图像处理系统设计

采用泰曼-格林干涉原理设计研制了一种非接触在线球面干涉仪,该干涉仪中的CCD摄像头可产生分辨率比较高的干涉条纹图像。重点介绍了用MATLAB图像处理软件对该干涉条纹图像进行数字化处理的基本方法,通过对干涉条纹图像进行预处理、提取骨架,最后用Zernike多项式拟合出被检球面的波面函数,计算出PV和RMS。通过MATLAB编程实现了对该球面干涉仪检测信号的自动化处理。     

基于DWC波前检测的计算机辅助装调技术

计算机辅助装调(CAA)技术是提升高精度、复杂离轴光学系统成像质量的有效手段.介绍了计算机辅助装调技术发展背景及现状,总结了用于计算机辅助装调技术的光学检测手段及优化方法.介绍了一种基于高分辨率波前传感器(DWC)的计算机辅助装调技术,建立了数学模型.这个模型包含光学系统出瞳波面像差获取、失调光学系统的失调量计算及系统像差表示三个方面的内容.最后,对模型进行了数值仿真试验,通过对比系统装调前后的结果,验证了该方法的理论可行性.     

Exact and fast algorithm for two-dimensional image wavelet moments via the projection transform

Wavelet moments are perfect representations of moments in multiresolution wavelet domain, which integrates the theory of moment invariants into wavelet analysis. However, the calculations of moments are very complicated in terms of computational complexity, so it is difficult to implement them in real time. An exact and fast projection-based algorithm for two-dimensional wavelet moments is presented in this paper. In our approach, the computation of a two-dimensional wavelet moment of order of r is performed in (r+1) different one-dimensional spaces. Since only additions are required to perform the projection transform, the total computational complexity can be greatly reduced.     

Seismic performance of steel frames with reduced beam section connections

Reduced beam section (RBS) moment resisting connections are among the most economical and practical rigid steel connections developed in the aftermath of the 1994 Northridge, California, earthquake. Although extensive experimental testing and some numerical simulations have shed light on the behavior of this type of connection, system level studies of RBS steel frames are still quite limited. As part of this research, nonlinear pushover and transient analyses of 4-, 8-, and 16-story frames with RBS connections are conducted with the objective of developing a better understanding of RBS frame behavior and exercising as well as critiquing the recently published FEMA-350 design specifications. The analyses confirm that in spite of inherently low overstrength, RBS frames are capable of economically providing good seismic performance in regions of high seismic risk. Other structural behavior issues with design implications are also discussed.     

A two-stage empirical Bayes method for identifying differentially expressed genes

Due to the high dimensionality of microarray gene expression data and complicated correlations in gene expression levels, statistical methods for analyzing these data often are computationally intensive, requiring special expertise for their implementation. Biologists without such expertise will benefit from a computationally efficient and easy-to-implement analytic method. In this article, we develop such a method: a two-stage empirical Bayes method for identifying differentially expressed genes. We use a special technique to reduce the dimension of the parameter space in the preliminary stage, and construct a Bayesian model in the second stage. The computation of our method is efficient and requires little calibration for real microarray gene expression data. Specifically, we employ statistical tools, including the empirical Bayes estimation and a distribution approximation approach, to speed up computation and at the same time to preserve precision. We develop a score for evaluating the magnitude of the overall differential gene expression levels based on our Bayesian model, and declare differential expression according to the posterior probabilities that their scores exceed some threshold value. The number of declarations is determined by a false discovery rate procedure.     

THE MOMENT METHOD ON RESONANT QUADRIFILAR HELICAL ANTENNAS

An efficient measure is taken to rearrange Nakano's kernels of integral equationsfor an antenna system composed of arbitrarily bent wires.By means of the moment method,great efforts are made to analyze and compute the circularly polarized patterns,directivity,axialratio,front-to-back ratio and beam-shaping characteristics of resonant quadrifilar helical antennasas well as the feeding technique and the effect of an electrically large conducting body on theperformance of the antennas.     

波前像差引导准分子激光角膜消融的研究及实现

波前像差引导的准分子激光角膜消融是屈光手术的新方法 ,本文研究目的用像差来引导屈光手术 ,使人眼的视力能够达到 2 0 / 10以上 ,并避免当前PRK、LASIK屈光手术前后像差增大而引起的对视觉质量的影响。分析人眼像差的概念和产生的原因 ,并用Zernike多项式表示 ,理论上定量地分析了Zernike多项式表示的波前像差与角膜切削深度的关系 ,研究了准分子激光切削角膜的机理 ,给出了准分子激光人眼像差矫正系统的原理框图 ,达到了矫正人眼像差的目的。     

Recognition and inspection of two-dimensional industrial parts using subpolygons

A model-based scene analysis for the recognition of imperfect and possibly occluded two-dimensional (2D) industrial parts is described. The means of recognition leads reliably to the correct association of the sides making up the unknown object to those of the model. Both the scene polygon and the model are divided into pairs of complementary subpolygons. This is done by a cutting line drawn parallel and close to a selected side. The subpolygons from the object are compared to all possible subpolygons from the model. Invariant moments are used in the analysis. A matching process using clusters of mutually consistent features is used to hypothesize the identity of the object. Examples are given to illustrate the method.