磷石膏的微量组分及其对水泥凝结、水化和硬化的影响

借助差热分析、热失重、X射线衍射和扫描电镜等测试手段,分析了磷石膏的微量组分,研究了磷石膏对硅酸盐水泥物理性能及水化过程和水化产物的影响,进而探讨了磷石膏对水泥单矿物的水化作用机理。     

Delay time compensation based on coefficient of restitution for collision hybrid motion simulator

A hybrid motion simulator embeds a hardware experiment in a numerical simulation loop. However, it is often subjected to the inherent problem of an energy increase in the collision of two pieces of hardware in a loop because of the delay time. This paper proposes a delay time compensation method based on contact dynamics model for a collision hybrid motion simulator under delay time and establishes a compensation method for coupled translational and rotational motion. The model developed in this paper describes linear uniform motion of a floating object during the period of the delay time until the force and torque are observed and non-linear motion according to environmental stiffness after the initial delay time period in contact. By using the above model, compensation parameters are designed based on desired coefficient of restitution with iterative calculation. The proposed method achieves accurate delay time compensation and simultaneously realizes a variable desired coefficient of restitution over a wide range of frequencies. Furthermore, the compensation method for multi-dimensional motion is established under the assumption that the friction effect is very small. The efficiency of the proposed method is verified through collision experiments for the coupled motion in two dimensions.     

Nonlinear time series forecasting with Bayesian neural networks

The Bayesian learning provides a natural way to model the nonlinear structure as the artificial neural networks due to their capability to cope with the model complexity. In this paper, an evolutionary Monte Carlo (MC) algorithm is proposed to train the Bayesian neural networks (BNNs) for the time series forecasting. This approach called as Genetic MC is based on Gaussian approximation with recursive hyperparameter. Genetic MC integrates MC simulations with the genetic algorithms and the fuzzy membership functions. In the implementations, Genetic MC is compared with the traditional neural networks and time series techniques in terms of their forecasting performances over the weekly sales of a Finance Magazine.     

近红外分析网络共享平台中复杂工作流实现算法

近红外分析共享平台中的采集工作流是一个以数据为中心的工作流。对系统中复杂采集工作流的跳转执行过程进行了详细分析,针对自由工作流跳转造成的数据和状态不一致性的问题,提出了一个任务执行优先关系算法,计算采集工作流中各个活动任务执行次序关系值,并构造一个执行次序关系树,记录各任务活动的状态信息;在流程回退、撤销、跳转时保证了数据和状态的一致性,较好地实现了跨任务活动的跳转。应用结果表明,此算法能够正确高效地实现复杂流程的跳转。     

随机环境下带有私人信息的单机能力分配策略

本文研究随机环境下考虑私人信息的单机能力分配问题.该问题中各部门的单位产品收益、需求信息及加工设备各时段的能力为私人信息,且各时段中产品的加工时间为随机变量.本文采用设备方与各部门协商的方法对问题进行求解,首先利用随机规划理论将能力分配问题清晰化,然后利用拉格朗日松弛和泰勒级数展开方法进行协商机制设计,接着给出基于偏转次梯度方法的协商参数更新法则,最后综合上述过程给出最终的问题求解算法.数值算例验证了算法的有效性并分析了关键参数对能力分配结果的影响.     

系统控制单元数据存储更新算法探讨

系统控制单元的有限存储空间被系统运行数据写满时,新产生的数据就需替换旧数据完成更新。通过采用逐条替换法、分块替换法、间歇删除法和抢断删除法,比较替换过程中最少存储数据的数量和实时性的滞后时间,找出一种最优的数据更新方法。试验结果表明,抢断删除替换算法更能快速有效实时完成数据的更新。     

一种关于模糊时间序列模型论域划分的多尺度比率算法

针对模糊时间序列研究中比率划分论域方法存在对非均匀数据划分效果不理想的缺陷, 提出一种基于模糊C 均值聚类(FCM) 算法的多尺度比率划分论域的方法. 首先利用FCM算法对样本数据进行分类; 然后计算各类数据的平均相对误差, 并基于各类的平均误差划分论域, 产生非等间隔的多尺度论域划分方法; 最后, 通过算例表明了多尺度比率论域划分方法的有效性.     

基于LabVIEW的虚拟精细化频谱分析仪

LabVIEW是虚拟仪器领域中最具代表性的图形化编程开发平台,利用该平台设计了信号产生与分析系统,并从信号发生器、时域及频域测量三方面展开阐述,其中包括波形产生,时域参数测量,频谱分析,信号ZoomFFT分析等。频域分析系统除了基本频谱分析外,具体阐述了细化频谱ZoomFFT算法的原理,使得该频谱系统能够更实时高效的处理分析频谱密集型信号。     

REVERSED RESIDUALS IN AUTOREGRESSIVE TIME SERIES ANALYSIS

Abstract. Both linear and non-linear time series can have directional features which can be used to enhance the modelling and investigation of linear or non-linear autoregressive statistical models. For this purpose, reversed p th-order residuals are introduced. Cross-correlations of residuals and squared reversed residuals allow extensions of current model identification ideas. Quadratic types of partial autocorrelation functions are introduced to assess dependence associated with non-linear models which nevertheless have linear autoregressive correlation structures. The use of these residuals and their cross-correlation functions is exemplified empirically on some deseasonalized river flow data for which a first-order autoregressive model is a satisfactory second-order fit. Parallel theoretical computations are undertaken for the non-linear first-order random coefficient autoregressive model and comparisons are made. While the data are shown to be strongly non-linear, their correlational signatures are found to be convincingly different from those of a first-order autoregressive model with random coefficients.     

网络数据传输的响应时间分析与估算

互联网技术的发展,很多应用系统都在通过计算机网络传输数据,但是数据传输网络的响应时间能否满足应用系统的要求?文章提出了一种基于实测数据进行统计概率分析、估算响应时间的方法,对网络数据传输系统的分析、网站建设与维护都是有实际意义的。