分数阶混沌系统数值解析与电路仿真研究*

针对如何分析分数阶混沌系统的问题,基于改进的Adams-Bashforth-Moulton算法,研究了一个新三维分数阶混沌系统的数值解析方法,采用MATLAB软件平台,获得了该系统在不同分数阶时生成的混沌吸引子。基于频域近似法,采用RC串并联电路设计了分数阶单元电路,由一个模拟电路实现了所提出的分数阶混沌系统。电路仿真与数值解析结果一致,表明了所提出的两种分析方法是可行的,并证实了该分数阶混沌系统也有着复杂的非线性物理现象。     

一种安全VPN网络的设计与实现

在研究VPN网络的基础上,设计并实现了一种安全可靠的VPN组网模型．该模型采用数字证书的身份认证,使用AES加密传输数据,并具有抗重放攻击等功能．测试表明,该模型支持多种网络协议并能够很好的穿越网络设备,适合网络发展的需求,在远程安全传输方面有着很好的应用前景．     

一混沌系统的追踪控制

讨论了一混沌系统的追踪控制问题.基于Lyapunov理论,结合多变量追踪控制的方法,设计一控制器使系统可以控制到任意所给的目标.MATLAB的数值仿真表明该方法的有效性.     

基于加密解密过程的信息流模型

通过引入客体的加密标识的概念,并利用客体的密级和完整性等级来定义新的客体安全类和信息流策略,得到一个新的基于加密解密过程的信息流模型.分析证明新模型是合理的、安全的,对信息安全体系结构模型构建起到积极作用.     

Support vector machine forecasting method improved by chaotic particle swarm optimization and its application

By adopting the chaotic searching to improve the global searching performance of the particle swarm optimization (PSO), and using the improved PSO to optimize the key parameters of the support vector machine (SVM) forecasting model, an improved SVM model named CPSO-SVM model was proposed. The new model was applied to predicting the short term load, and the improved effect of the new model was proved. The simulation results of the South China Power Market’s actual data show that the new method can effectively improve the forecast accuracy by 2.23% and 3.87%, respectively, compared with the PSO-SVM and SVM methods. Compared with that of the PSO-SVM and SVM methods, the time cost of the new model is only increased by 3.15 and 4.61 s, respectively, which indicates that the CPSO-SVM model gains significant improved effects. Foundation item: Project(70572090) supported by the National Natural Science Foundation of China     

Chaotic characteristics of electromagnetic emission signals during deformation and fracture of coal

Electromagnetic emission (EME) is a kind of physical phenomenon accompanying the process of deformation and frac-ture of loaded coal and rock and it is of importance in quantitatively analyzing its characteristics. This will reveal the process of deformation and fracture of coal and predicting dynamic disasters in coal mines. In this study, the G-P (Grassberger and Procaccia) algorithm, calculation steps of the (if only 1 dimension) correlation dimension of time series and the identification standards of chaotic signals are introduced. Furthermore, the correlation dimensions of EME and the acoustic emission (AE) signals of time series during deformation and fracture of coal bodies are calculated and analyzed. The results show that the time series of pulses number of EME and the time series of AE count rate are chaotic and that the saturation embedding dimensions of a K3 coal sample are, respectively, 5 and 6. The results can be used to provide basic parameters for predicting of EME and AE time series.     

基于网络的多卡加密系统调度模型

在分析L inux系统单卡加密系统的基础上,详细分析了影响单卡加密系统并行处理数据报文效率的原因,提出了一种能够改善报文处理效率的基于网络的多卡加密系统调度模型,讨论了多卡加密系统调度模型的特点,分析了该模型中各模块的功能.通过实例,比较了单卡和多卡加密系统在并行处理数据报文时的差异.结果表明,多卡加密系统调度模型是网络平台下的信息安全传输的一种优化方法.     

一个新混沌系统的有界性和同步

通过构造一个适当的广义正定Lyapunov函数,证明了此混沌系统是有界的。然后,研究了此系统的线性反馈同步,设计了2个2线性控制器实现了驱动系统和响应系统的同步。最后,应用Matlab进行了数字仿真以验证同步的理论效果。     

一种新的混沌神经网络及其应用

提出一种新的混沌神经元模型,该神经元的激励函数由复合正弦函数和Sigmoid函数构成,通过分叉图及Lyapunov指数的计算,分析了其动力学特征.基于该模型构造了一种新的暂态混沌特征神经网络,并将其应用于组合优化问题.仿真实验结果表明了该算法的有效性与可行性.     

ASP.NET应用程序安全性研究

重点研究了基于ASP.NET的Web应用程序的安全问题。分析了ASP.NET的安全架构,从应用角度,给出了保证Web应用程序安全的4个层次:身份验证、授权、机密性和数据完整性。详细论述在Web应用程序开发中如何实现Windows验证、表单验证、URL授权和数据加密。