轻量级内存数据库的研究

内存数据库指的是基于内存的数据库,其主拷贝或"工作版本"常驻于内存中,并将数据库保存在内存中,避免了缓冲区管理器对数据的间接访问,使虚拟内存数据库比传统的磁盘数据库系统拥有更快的响应时间和更大的吞吐量.     

头驱动句法分析中的直接插值平滑算法

在头驱动句法分析模型下,基于经典插值平滑算法,提出了以统计空间中平均事件数为基础的直接插值平滑建模原则,并应用经典的误差理论分析了该原则的合理性.基于该原则并借鉴语言模型中其他插值平滑算法对模型的零点进行假设的方法,在头驱动句法分析模型下,重新构造了4种平滑算法.实验数据显示,新平滑算法在高于经典平滑算法性能的同时,显著降低了自由参数的扰动程度,从实验的角度证明了该平滑建模原则的有效性.     

三元硝酸熔盐高温粘度的计算

三元硝酸熔盐是一种重要的传热蓄热介质,粘度物性数据对其在工业中应用非常重要.但是由于硝酸熔盐熔点高,腐蚀性强,测试条件苛刻,粘度测量结果偏差较大,故利用计算方法确定熔盐粘度.本文首先通过大量实验数据拟合了纯物质KNO3,NaNO3和NaNO2的粘度,再利用Arrhenius混合规则确定的经验公式计算三元硝酸熔盐的粘度.与前人实际测量值进行比较.结果发现:利用简单经验公式估算的结果与实际测量值比较接近,表明这种熔盐热物性变化受外界影响较小,可以利用Arrhenius简单混合规则确定熔盐粘度.     

基于模糊定性趋势分析的故障诊断方法研究

趋势能够反映过程重要参数的运行状态和发展趋向;利用定性趋势分析进行故障诊断时,趋势固有的定性特性使得趋势分类的界限变得模糊,带来诊断的模糊性和规则知识库的组合爆炸等一系列问题;将模糊理论与定性趋势分析相结合,给出了趋势提取及基于模糊逻辑的趋势匹配算法,研究了一种基于模糊定性趋势分析的故障诊断方法来有效地解决这些问题;实例分析表明,基于模糊定性趋势分析的故障诊断方法能大大缩小规则知识库的规模,提高定性趋势分析故障诊断的准确性和实时性,及时发现和预测控制过程的早期故障。     

LVQ神经网络在磁瓦表面缺陷分类中的运用

在基于磁瓦表面缺陷图像直方图、纹理、投影和形状的特征提取的基础上,提出了一种用LVQ神经网络进行缺陷分类的方法,对现场采集到的6种主要缺陷类型进行了试验。试验结果表明,基于LVQ神经网络的分类器训练与分类的时间短,多缺陷种类分类时准确率高。     

微生物螯合剂的合成及其条件优化研究

螯合剂被广泛应用在造纸、印染、食品等行业,化学螯合剂的不稳定性和毒性会对环境和人类产生危害,因此寻找一种绿色环保的新型螯合剂极为重要。利用微生物菌株WJ-3发酵合成铁载体螯合剂,采用单因子法,在摇床培养条件下,分别研究了不同的碳源、氮源、培养温度、摇床转速以及初始培养基的pH值,对菌株生长以及微生物螯合剂铁载体合成率的影响。研究发现:菌株WJ-3在固体和液体培养基中均能合成铁载体,在碳源为葡萄糖、氮源为酵母浸粉、温度为30℃、转速为180 r/min以及初始培养基pH值为7.0的发酵条件下,培养48 h后微生物产生的铁载体螯合剂的合成率可达64.12%;优化后的合成条件更加有利于微生物铁载体的合成。     

针对大气紊流改进的飞控系统设计及仿真研究

提出了一种改进的抗大气紊流纵向俯仰姿态保持飞行控制系统设计方法;针对大气紊流频谱,建立了包括大气紊流、舵回路和飞机模型为一体的增广模型;运用LQG/LTR对控制系统稳定裕度的补偿作用,设计了抗素流扰动的飞行控制系统,并加入外环PID控制器,提高了系统的动静态性能;最后通过给飞机模型施加摄动来验证飞行控制系统的鲁棒性;仿真结果表明,用该方法设计的飞行控制系统具有良好的动静态品质和较强的抗大气素流干扰的能力,从而使飞行控制系统具有良好的稳定性和鲁棒性.     

Exponential stability and exponential stabilization of singularly perturbed stochastic systems with time‐varying delay

In this paper, the problems of exponential stability and exponential stabilization for linear singularly perturbed stochastic systems with time‐varying delay are investigated. First, an appropriate Lyapunov functional is introduced to establish an improved delay‐dependent stability criterion. By applying free‐weighting matrix technique and by equivalently eliminating time‐varying delay through the idea of convex combination, a less conservative sufficient condition for exponential stability in mean square is obtained in terms of ε‐dependent linear matrix inequalities (LMIs). It is shown that if this set of LMIs for ε=0 are feasible then the system is exponentially stable in mean square for sufficiently small ε?0. Furthermore, it is shown that if a certain matrix variable in this set of LMIs is chosen to be a special form and the resulting LMIs are feasible for ε=0, then the system is ε‐uniformly exponentially stable for all sufficiently small ε?0. Based on the stability criteria, an ε‐independent state‐feedback controller that stabilizes the system for sufficiently small ε?0 is derived. Finally, numerical examples are presented, which show our results are effective and useful. Copyright © 2010 John Wiley & Sons, Ltd.     

Comparison of forecasting methods with an application to predicting excess equity premium

This paper reviews various forecast methods including combination using theoretically optimal weights and those under model selection approaches. In addition, we suggest two modified simple averaging forecast combination methods—a mean corrected and a mean and scale corrected method. We conclude that due to the fact that real data is usually subject to structural breaks, rolling forecasting scheme has a better performance than fixed window and continuously updating scheme. In addition, methods that use less information appear to perform better than methods using all the sample information about the covariance structure of the available forecasts. The mean and scale corrected simple average approach yield smaller mean squared forecast error than the three widely used regression approaches suggested by Granger and Ramanathan [11].