床沙粒径及级配对非均匀沙起动的影响分析

对Wu W.等的荫暴系数计算方法进行了修正,根据滚动起动模型建立了以荫暴系数为主要参数的起动底流速公式,在此基础上理论探讨了暴露程度、床沙各分组泥沙粒径及其质量比对泥沙起动的影响,并论述了非均匀沙起动中完全暴露、完全荫蔽和极限跃移3种极限起动情况。结果表明:1非均匀沙起动底流速随着荫暴系数的增大而减小,荫暴系数越大,泥沙越容易起动;2在由两种粒径泥沙组成的非均匀沙中,粗颗粒的荫暴系数在定义域上均随着细颗粒床沙比例和粗细颗粒比例的增大而增大,即细颗粒比例越大,粗细颗粒间粒径差异越大,粗颗粒越容易起动;细颗粒的荫暴系数在定义域上随着细颗粒床沙比例的增大而增大、粗细颗粒比例的增大而减小,即细颗粒的比例愈大,细颗粒愈容易起动,且起动规律渐趋于和均匀沙的相仿,粗细颗粒粒径相差愈大,细颗粒受到的荫蔽作用愈显著,其起动流速也愈大。     

某长距离管道输水工程连通管设计

介绍连通管设计原理,结合某长距离重力流输水管道输水工程的特点,简述该工程管道连通管设计方案要点。方案实施后,经检验:其连通管设置数量及位置合适,满足运行的要求。     

On stability delay bounds of simple input-delayed linear and non-linear systems: Computational results

This paper deals with the problem of delay size stability analysis of single input-delayed linear and nonlinear systems. Conventional reduction, reduction linked by sliding mode, and linear memoryless control approaches are used for simple input-delayed systems to obtain the stability conditions. Several first order examples are investigated systematically to demonstrate the capabilities and limitations of the advanced stability analysis techniques including Lyapunov-Krasovskii functionals, Newton-Leibniz formula, and a newly addressed Lagrange mean value theorem. Numerical comparative results show the usefulness and effectiveness of the advanced delay size analysis techniques proposed in this paper.     

基于特征参数归一化的鲁棒语音识别方法综述

目前,自动语音识别系统往往会因为环境中复杂因素的影响,造成训练环境和测试环境存在不匹配现象,使得识别系统性能大幅度下降,极大地限制了语音识别技术的应用范围。近年来,很多鲁棒语音识别技术成功地被提出,这些技术的目标都是相同的,主要是提高系统的鲁棒性,进而提高识别率。其中,基于特征的归一化技术简单而有效,常常被作为鲁棒语音识别的首选方法,它主要是通过对特征向量的统计属性、累积密度函数或功率谱的归一化来补偿环境不匹配产生的影响。该文主要对目前主流的归一化方法进行介绍,其中包括倒谱矩归一化方法、直方图均衡化方法以及调频谱归一化方法等。     

GPU并行加速的均值偏移算法

为克服mean shift算法计算复杂度高、运行速度慢的缺点,提出一种基于GPU的快速mean shift算法.首先使用k-means算法对图像像素进行预分类,之后在预分类、下采样后缩小的数据集上进行mean shift聚类,以有效地降低算法复杂度.此外,借助GPU的通用计算功能对k-means和mean shift分别进行并行了处理.实验结果表明,通过对图像进行预处理,有效地提高了几何模板查找在强噪声、低信噪比图像中的识别率;同时,改进后的mean shift算法的运行速度提高了近40倍,满足了高速机器视觉检测的实时性要求.     

Faster ARMA maximum likelihood estimation

A new likelihood based AR approximation is given for ARMA models. The usual algorithms for the computation of the likelihood of an ARMA model require O(n) flops per function evaluation. Using our new approximation, an algorithm is developed which requires only O(1) flops in repeated likelihood evaluations. In most cases, the new algorithm gives results identical to or very close to the exact maximum likelihood estimate (MLE). This algorithm is easily implemented in high level quantitative programming environments (QPEs) such as Mathematica, MatLab and R. In order to obtain reasonable speed, previous ARMA maximum likelihood algorithms are usually implemented in C or some other machine efficient language. With our algorithm it is easy to do maximum likelihood estimation for long time series directly in the QPE of your choice. The new algorithm is extended to obtain the MLE for the mean parameter. Simulation experiments which illustrate the effectiveness of the new algorithm are discussed. Mathematica and R packages which implement the algorithm discussed in this paper are available [McLeod, A.I., Zhang, Y., 2007. Online supplements to “Faster ARMA Maximum Likelihood Estimation”, 〈http://www.stats.uwo.ca/faculty/aim/2007/faster/〉]. Based on these package implementations, it is expected that the interested researcher would be able to implement this algorithm in other QPEs.     

开卷机钢卷直径计算优化算法在带钢纵剪生产线中的应用

在带钢纵剪生产线的电气控制系统中,开卷机的钢卷卷径（以下简称卷径）是一个重要的检测参数,其检测和计算的准确性对系统的控制精度影响很大。本文介绍了一种适用于纵剪生产线开卷卷径的测量与计算方法,并且简要说明了如何通过西门子S7-400PLC来实现。经过实际的生产运行证明,该方法可以提高开卷机的实际卷径精度,增强测控系统的稳定性和可靠性。     

梯度均值预测滤波算法及其应用

测量误差不可避免的存在于各种测量系统之中.针对缓慢变化的测量数据中存在的随机误差,结合传统滤波方法的优点,提出了梯度均值预测滤波算法,阐述了算法的基本思想和流程,并结合桥梁挠度连续测量系统的测量数据进行了滤波实验,结果表明,该算法能够有效去除缓慢变化的测量数据中的干扰信号,滤波效果明显.     

基于图像处理的自动聚焦技术及应用

自动聚焦技术是提高压痕直径测量系统测量精度、智能化和自动化的重要手段.介绍了采用图像处理法实现压痕直径测量系统的自动聚焦技术,核心就是选择一个合适的图像清晰度评价函数.在研究了众多图像清晰度评价函数的基础上,提出了基于向量模型和改进DCT变换的图像清晰度评价函数,实验表明,提出的算法具有良好的单峰性、准确性、稳定性、可靠性和快速性.最后通过基于COM组件技术的Matlab与VB混合编程来保证算法实现和软件设计.