蔡氏混沌电路硬件实现的容差分析

基于混沌吸引子周期轨道理论和电路仿真技术，分析了蔡氏混沌电路系统随元件参数值变化的动力学特性，给出了电路参数平面上的混沌区域图．根据该混沌区域图，找到了系统产生双涡卷混沌吸引子且容差范围为最大时的元件参数标称值，同时计算出了元件参数标称值的容差范围．文中还给出了电路参数值的选择算法步骤，以便为混沌振荡电路的硬件实现提供理论指导．     

指节折痕线特征提取与识别算法

研究了一种基于灰度数学形态学和二维小波变换的指节折痕特征提取和识别算法.该算法首先利用灰度形态学对指节折痕子图进行预处理增强,通过选择合适的结构元素来施行对指节折痕子图图像进行灰度形态学处理,大大地改善了折痕线的对比度,然后利用二维小波分解的方法将增强后的图像进行二维分解,得到不同分辨率和不同方向的小波变换子图,最后根据折痕线的分布特征选择所需子图并计算它们的不变矩构成特征矢量来表征指节折痕特征.实验结果验证了方法的有效性.     

Finger crease pattern recognition using Legendre moments and principal component analysis

The finger joint lines defined as finger creases and its distribution can identify a person. In this paper, we propose a new finger crease pattern recognition method based on Legendre moments and principal component analysis (PCA). After obtaining the region of interest (ROI) for each finger image in the preprocessing stage, Legendre moments under Radon transform are applied to construct a moment feature matrix from the ROI, which greatly decreases the dimensionality of ROI and can represent principal components of the finger creases quite well. Then, an approach to finger crease pattern recognition is designed based on Karhunen-Loeve (K-L) transform. The method applies PCA to a moment feature matrix rather than the original image matrix to achieve the feature vector. The proposed method has been tested on a database of 824 images from 103 individuals using the nearest neighbor classifier. The accuracy up to 98.584% has been obtained when using 4 samples per class for training. The experimental results demonstrate that our proposed approach is feasible and effective in biometrics.     

电阻法测定Al-Si合金膜电迁移激活能

一、引 言 铝膜中加入1—3%Si,能提高集成电路中铝布线的抗电迁移能力和防止使结短路的蚀坑形成. Van Gurp研究了含硅量分别为0.3%和1.8%、厚度为0.5μm的Al-Si合金膜的电迁移激活能,用平均失效时间方法求得电迁移激活能为0.31—0.32eV,与含硅量无关.Blacy研究了含硅量为0.79%,