网络学习基本模式分析

分析了网络学习的基本模式,并指明创建一个远程学习者良好学习环境所要考虑的几个因素。     

共轴圆线圈和圆板的互感系数计算

本文给出了同轴圆线圈和圆板间互感系数的近似函数表达式。并用Matlab绘制了该互感系数随线板间距离和圆板大小的变化曲线。此外,根据磁感应强度的解析表达式,计算了载流线圈的磁力线分布图,分析了其磁感应强度的分布,并给出了它的径向分布曲线。     

Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems

Recent trends in the management of water supply have increased the need for modelling techniques that can provide reliable, efficient, and accurate representation of the complex, non-linear dynamics of water quality within water distribution systems. Statistical models based on artificial neural networks (ANNs) have been found to be highly suited to this application, and offer distinct advantages over more conventional modelling techniques. However, many practitioners utilise somewhat heuristic or ad hoc methods for input variable selection (IVS) during ANN development.This paper describes the application of a newly proposed non-linear IVS algorithm to the development of ANN models to forecast water quality within two water distribution systems. The intention is to reduce the need for arbitrary judgement and extensive trial-and-error during model development. The algorithm utilises the concept of partial mutual information (PMI) to select inputs based on the analysis of relationship strength between inputs and outputs, and between redundant inputs. In comparison with an existing approach, the ANN models developed using the IVS algorithm are found to provide optimal prediction with significantly greater parsimony. Furthermore, the results obtained from the IVS procedure are useful for developing additional insight into the important relationships that exist between water distribution system variables.     

高分子电容式湿度变送器温度补偿方法

提出一种新的高分子电容式湿度变送器温度补偿方法。实验结果表明 ,利用温度特性各异的高分子电容式湿敏元件互补进行温度补偿 ,可有效地减少温度系数和非线性误差、提高高分子电容式湿度变送器的准确度     

有限字符集信号传输的互信息计算

针对目前有限字符集上衰落信道下的数字通信传输方法无法既简洁又准确地计算互信息值问题,提出了一种新的互信息值计算方法.通过分析对数似然比与互信息之间的关系,对高信噪比和低信噪比两种情况下的简化计算进行加权组合,实现了宽信噪比区间内的低复杂度和准确的互信息值计算.实验结果表明,该算法不仅能够准确地计算互信息值,而且能够简洁、准确地评估无线传输的差错概率.与目前常用算法相比,本文算法具有准确、简便和直观的优势,对数字通信系统性能的理论分析具有较好的指导意义.     

近场无线能量传输系统的效率研究

对于近场无线能量传输系统,输入信号的波形及平均功率发生变化,可能会对信号能量的传输效率产生一定的影响。针对该问题通过理论分析与实验验证相结合的方式,研究了近场无线能量传输系统的输入信号波形及平均功率的变化对信号能量传输效率所产生的影响。提出了选择方波、正弦波和三角波三种典型波形的信号作为输入信号,进行横、纵向全面分析的方法,得出了同一种波形的输入信号的能量传输效率是相同的,不随信号输入功率的变化而发生改变;不同波形输入信号的能量传输效率是不同的,且方波、正弦波、三角波三种波形信号的无线能量传输效率比为2.622∶1.768∶1。     

Self healing capacity of asphalt binders

To test self healing capability of asphalt binders,three asphalt specimens(pure asphalt,modified asphalt and aged asphalt) were prepared.Every specimen was tested by dynamic shear rheometer(DSR).The temperature sweeps result indicates that both aging and SBS modifying influence the self healing capability of asphalt binder.The fatigue-heal-fatigue test was introduced to study the self healing capability of asphalt in its serving periods.Furthermore,three different periods(0.5 h,1 h,3 h) were set up to study the influence of rest time on fatigue time.It is concluded that longer rest time,less load will delay the appearance of cracks and extend the service life of asphalt binders.     

可变模糊集理论研究进展及其在水科学中的应用

介绍了可变模糊集理论的哲学基础及工程背景,简要描述了其相关概念及其理论方面的突破与进展,重点阐述了唯物辩证法三大基本规律——对立统一、质量互变与否定之否定定理的数学表达的研究情况。以此理论为基础建立的可变模糊聚类、模式识别、优选、评价的理论与模型,是可变模糊集通向实际应用的桥梁,详细评述了其在水资源评价、水质评价、水库调度与防洪、灾情评价、径流预报、农业水利工程等领域的应用。     

基于小波变换的多聚焦图像自适应融合

图像融合是对来自同一场景的不同源图像的信息进行互补和合成,从而获得更为准确、更为全面、更为可靠的图像。采用了一种基于小波变换的自适应图像融合方法,首先将配准好的图像进行小波分解,并提取出细节分量和近似分量。其次,针对不同的频率域选择不同的融合规则,对低频系数选取区域均匀度和变化率相结合的融合规则,对高频系数选用区域方向对比度和区域匹配度相结合的自适应融合规则。最后通过小波逆变换得到融合图像。将其它融合算法和文中所提算法进行主观和客观的对比,结果表明,该算法是一种有效可行的图像融合算法。