广义Calderón—Zygmund算子交换子的加权有界性

主要讨论由Lipschitz函数b与广义C—Z算子T生成的交换子[b,T]在加权Hardy空间上的有界性,证明了[b,T]是从Lw^p p到Lw^q q有界的和从H^pω^p到L^qω^q上的有界性．     

Weighted cooperative routing for wireless mobile Ad-hoc network

A novel weighted cooperative routing algorithm (WCRA) is proposed in this article, which was on the basis of a weighted metric with maximal remaining energy (MRE) of the relays and the maximal received SNR (MRS) of the nodes. Moreover, a cooperative routing protocol was implemented on the basis of WCRA. Then simulation is done on network simulation (NS-2) platform to compare the performances of MRS, MRE and WCRA with that of noncooperative destination-sequenced destination-sequenced distance-vector (DSDV) protocol. The simulative results show that WCRA obtains a performance tradeoff between MRE and MRS in terms of delivery ratio and network lifetime, which can effectively improve the network lifetime at an acceptable loss of delivery ratio.     

加权随机减量法

随机减量方法是70年代初提出的一种获取线性振动系统自由响应的技术.这种方法对于施加在线性系统上的随机激励只有定性的要求,而没有定量的要求.本文在传统的算术平均的随机减量法的基础上,提出了加权相加时移信号段的加权随机减量法,作了初步的理论论证,并通过数值仿真计算,证实了若选择合适的权函数,加权随机减量法能比原来的方法有更高的精度.文中也指出了算术平均法是本文加权随机减量法的一利特例.     

Control chart for monitoring the coefficient of variation with an exponentially weighted moving average procedure

The coefficient of variation (CV) of a population is defined as the ratio of the population standard deviation to the population mean, which can be regarded as a measure of stability or uncertainty and can also indicate the relative dispersion of data to the population mean. This paper proposes a new exponentially weighted moving average chart for monitoring CV, which is constructed by truncating those negative normalized observations to 0 in the traditional exponentially weighted moving average CV statistics. The implementation and optimization procedures of the proposed chart are presented. The new chart is compared with some existing CV charts by means of average run length, and the comparison results show that the new chart outperforms other charts in most cases. Two examples illustrate the use of this chart on real data gathered from a metal sintering process and from a die casting hot chamber process.     

变风量空调系统中风机的加权流量控制方法

分析了变风量空调系统的风机控制方法,介绍了用加权流量法控制风机的思路和方法,并将其与其他几种控制方法进行了数值模拟分析比较,结果表明加权流量法是一种控制稳定、计算简单的变风量控制方法,能方便地应用于实际工程。     

摆动式TIG焊焊缝跟踪技术

介绍以弧压为传感信号的摆动式TIG焊焊缝跟踪技术。硬件设计方面，采用两级滤波的方法，前级主要用来保护控制电路，后级主要用来滤除杂波。软件处理方面，针对搭接TIG焊的特点，采用摆动焊接方法，利用积分比较法，实现了焊缝的自动跟踪；提出加权处理的方法，对积分比较法进行修正，进一步保证了跟踪的实现，提高了跟踪精度。试验证明，该技术控制可靠，焊缝跟踪效果好。     

A new stereological principle for test lines in three-dimensional space

A new principle is presented to generate isotropic uniform random (IUR) test lines hitting a geometric structure in three-dimensional space (3D). The principle therefore concerns the estimation of surface area, volume, membrane thickness, etc., of arbitrary structures with piecewise smooth boundary. The principle states that a point-sampled test line on an isotropic plane through a fixed point in 3D is effectively an invariant test line in 3D. Particular attention is devoted to the stereology of particles, where an alternative to the surfactor method is obtained to estimate surface area. An interesting case arises when the particle is convex. The methods are illustrated with synthetic examples.     

建筑业可持续竞争力的加权灰关联分析比较

将产业竞争优势理论和可持续发展理论结合,建立了建筑业可持续竞争力指标体系,用加权灰关联分析方法衡量比较对象与理想序列的符合程度,实例分析证明该方法的有效性。     

限制GPS边长综合投影变形加权尺度比算法

高斯投影变形量是一个以至中央子午线距离为自变量的二次幂函数,其投影后的边长变形量沿横向呈二次曲线变化,理论上,横向不同位置的尺度比不一样,采用常规算数方法求定的平均尺度比一般情况下并不能理想地代表测区的整体尺度。尺度比计算时应顾及参与计算实测边长的高斯投影变形量及横向的最优代表范围,通过综合考虑高斯投影变形因素的影响来确定各个边长参与尺度比计算的权重。为了保持平差后GPS网的相对构型,以减少平差约束条件,宜将求定的加权尺度残差采用高程抵偿投影的方法予以处理。     

Estimation of Travel Times on Signalized Arterials

This paper describes procedure for estimation of travel time on signalized arterial roads based on multiple data sources with application of dimensionality reduction. Travel time estimation approach incorporates forecast of transportation nodes impendence and travel time on network links. Forecasting period is two hours and the estimation is based on historical data and real time data on traffic conditions. Travel time estimation combines multivariate regression, principal component analysis, KNN （k-nearest neighbours）, cross validation and EWMA （exponentially weighted moving average） methods. When comparing estimation methodologies, relevantly better results were achieved by KNN method than with EWMA method. This is true for every time interval considered except for evening time interval when signalized arterial roads were uncongested.