Nonlinearity degree of short-term heart rate variability signal

A nonlinear autoregressive (NAR) model is built to model the heartbeat interval time series and the optimum model degree is proposed to be taken to evaluate the nonlinearity degree of heart rate variability (HRV). A group of healthy persons are studied and the results indicate that this method can effectively get nonlinear information from short (6—7 min) heartbeat series and consequently reflect the degree of heart rate variability, which supplies convenience in clinical application. Finally, a comparison with the traditional time domain method shows that the NAR model method can reflect the complexity of the whole signal and lessen the influence of noise and instability, in the signal.     

一种改进的漆酶酶活检测方法

以 2 ,2′ -连氮 -双 (3-乙基苯并噻唑 - 6 -磺酸铵 ) (简称ABTS)为漆酶A、B的底物 ,采用UV - 2 2 0 1型紫外 -可见分光光度计连续记录酶反应在 2 5℃ ,4 2 0nm波长下的时间历程曲线 ,并求取最初部分的斜率以计算漆酶酶活的方法 .该方法直观、方便、准确且可靠 .在 2 5℃的 0 .0 4mol/LBritton Robinson缓冲溶液中 ,漆酶A、B的最适 pH值分别为 4 .0和 4 .5 .在 2 5℃最适 pH值的Britton Robinson缓冲液中 ,由双倒数作图法求得漆酶A、B的米氏常数Km 分别是 6 .6 4× 1 0 - 5mol/L和 2 .2 1× 1 0 - 5mol/L ,漆酶A、B的最大米氏反应速度Vmax分别是 1 4 2 5μmol.M (L·min)和 32 5μmol.M (L·min) .漆酶A、B的酶活分别为 2 2 99μmol·min- 1·L- 1和 1 1 4 8μmol·min- 1·L- 1.     

一种DC-DC变换器的离散数学模型

当DC-DC变换器工作于大信号运行条件或系统中出现较大振荡时,变换器将呈现电感电流连续和不连续两种运行模式,为了更确切地描述系统特性,建立了基于两种运行模式的DC.DC变换器离散数学模型.分别给出了基本的Boost和Buck变换器每个开关周期中功率开关关断后电感电流持续时间的计算方法,并根据电流持续时间与开关断开时间的关系预测下个工作周期变换器的运行模式,确定模型的系数矩阵.根据与Simulink系统模块运行结果的比较,验证了离散数学模型的正确性.     

非线性理论在煤与瓦斯突出研究中的应用

应用非线必科学的基础理论,研究了可能发生突出的含瓦斯煤岩系统的内在动力特征,建立了考虑各种基本因素的较为全面的突出预测模型,并对突出起动的突变机制和突变条件进行了定性分析,为突出非线性动力机制及其预测和防治研究提供了新的途径。     

二叉树CreateBTree算法的改进

在分析二叉树的CreateBTree算法的基础上，利用线性探测再散列方法对CreateBTree算法的中序遍历序列进行预处理来改进CreateBTree算法，使得改进后的CreateBTree算法在最差情况下，时间复杂度由O(N^2)降为O(N)。     

基于可视图的衡阳市大气污染物时间序列分析

为研究大气污染物时间序列的非线性特征,基于2016年1月至2017年12月衡阳市PM2.5和PM10质量浓度时间序列,应用可视图方法将两组时间序列映射到复杂网络中,并研究了相应网络的拓扑性质.结果表明:PM2.5和PM10浓度时间序列网络的平均聚类系数、直径、网络密度和平均路径长度等网络特征参数和统计特征参数基本相同....     

面向产品投产比例的多Hoist调度研究

在电镀生产线上,多种不同类型的工件往往按照一定的比例关系组织生产,以应对多样化的订单需求,缩短订单交付周期,而为了克服由运输设备造成的生产瓶颈,加工设备之间的工件转运作业多采用数个自动化的Hoist(行车)来完成。针对面向产品投产比例的多Hoist调度问题,采用启发式策略实现多个不同类型工件在并行工作站上的分配,同时考虑工件加工时间窗口约束、工作站的使用能力约束以及Hoist无碰撞约束,构建了解决此类问题的混合整数规划模型。最后,以某印刷电路板制造企业的全板电镀生产实例验证了所建数学模型的实际应用价值。     

Experiment on Gas Hydrates Formation by Water Spraying

An experimental investigation of natural gas hydrate formation has been conducted in a high-pressure water spraying reactor,which is cooled by the circulation water through an external cooling jacket.The results show that the morphology of hydrates formed by water spraying is like ice-slurry,which depends on the initial pressure and temperature.At a certain reaction pressure,the rate of hydrate formation is increasing with lower temperature.And also,the induction time of hydrate formation can be greatly sho...     

Predicting Stock Return Volatility: Can We Benefit from Regression Models for Return Intervals?

We study the performance of recently developed linear regression models for interval data when it comes to forecasting the uncertainty surrounding future stock returns. These interval data models use easy‐to‐compute daily return intervals during the modeling, estimation and forecasting stage. They have to stand up to comparable point‐data models of the well‐known capital asset pricing model type—which employ single daily returns based on successive closing prices and might allow for GARCH effects—in a comprehensive out‐of‐sample forecasting competition. The latter comprises roughly 1000 daily observations on all 30 stocks that constitute the DAX, Germany's main stock index, for a period covering both the calm market phase before and the more turbulent times during the recent financial crisis. The interval data models clearly outperform simple random walk benchmarks as well as the point‐data competitors in the great majority of cases. This result does not only hold when one‐day‐ahead forecasts of the conditional variance are considered, but is even more evident when the focus is on forecasting the width or the exact location of the next day's return interval. Regression models based on interval arithmetic thus prove to be a promising alternative to established point‐data volatility forecasting tools. Copyright ©2015 John Wiley & Sons, Ltd.     

耐烦期有限的库存系统的最优存贮模型

通过假定定常需求、常数变质率以及短缺量完全拖后,而得到了耐烦期有限的库存系统的最优存贮模型·用BASIC语言编程,进行计算机仿真,计算选择该类库存系统的最优决策方案,目的在于找到最优定货周期以使单位时间平均总费用最小·最后给出了数字例子·模拟结果表明,变质率、拖后短缺费以及单位物品销售机会的损失成本的增大均使定货周期缩短、平均总费用增大,而单位时间需求量及单位物品单位时间库存保管费的增大也会产生同样的结果