复周期结构光子晶体的光子能带特性研究

本文构思了一种每个周期内部有几个不同的小单元的复周期结构光子晶体，并利用光学传输矩阵法对这种光子晶体进行了数值模拟计算。计算结果表明，这种复周期结构光子晶体比普通结构的光子晶体多出1个大的光子禁带区。适当调整参数还可以分别获得多通道窄带滤波特性、带通滤液特性和窄带透过特性。     

Neural Network Feedback Control: Work at UTA’s Automation and Robotics Research Institute

This is an outline of research in neural networks for feedback control done since the mid 1990s at the Automation and Robotics Research Institute (ARRI) of The University of Texas at Arlington (UTA). It shows how the developments of Intelligent Control Systems based on neural networks have followed three main generations. This statement provides a short, broad-brush perspective on the development of intelligent neural feedback controllers.     

Robot control and parameter estimation with only joint position measurements

Most adaptive control schemes for rigid robots assume velocities measurements to be available. Although it is possible to measure velocities by using tachometers, this increases costs and the signals delivered may be contaminated with noise. Since the use of encoders allows to read joint position pretty accurately, it is desirable to estimate joint velocities through an observer. This paper presents an adaptive scheme designed in conjunction with a linear observer. Boundedness of the estimated parameters and uniform ultimate boundedness for the tracking and observation errors are guaranteed. Experimental results are included to support the developed theory.     

适应系统运行电压充分发挥电炉消谐滤波器的效能

超大功率直流电弧炉配套的消谐滤波器因不适应系统运行电压，导致无法正常运行，对此问题进行了分析，提出了改进对策，并简要介绍了实施后的效果。     

Peer-to-Peer计算模型及其安全对策

介绍了P2P的定义，分析了当前P2P的五个模型的工作原理以及带来的影响，概括了P2P的特性，比较了P2P与传统Client/Server模型的区别，针对P2P技术带来的网络安全挑战，提出了解决P2P网络安全的对策,着重对如何从信息安全的角度利用基于Agent的自适应技术监测Internet环境中P2P模式下的信息传播进行了探讨。     

接触传热表面粗糙度曲线的统计特征

测量了一般机械加工表面的轮廓曲线，基于小波变换提取了粗糙度曲线，分析了轮廓高度和接触峰高度的统计分布特征。研究结果表明，轮廓高度不服从严格的正态分布，但具有一定的正态性，而接触峰高度的统计特征与其评定标准有直接的关系。因此，对于接触热阻的计算模型来说，接触点数的计算应以合理选取接触峰的评定标准为前提。     

智能同步广播激励器及其标频

使用智能同步广播激励器,并采用CCTV传输的1MHz标频信号,就有可能实现自适应相位跟踪同步广播。这将大大节省中波段的频率资源。     

极大似然反卷积软件包

本文介绍了用于石油和天然气勘探的一种新型的、高分辩率的极大似然反卷积算法的软件包,详细阐述了该软件包的基本原理、结构和特点。     

安全防火墙的设计

文章主要讨论了防火墙设计的安全策略以及国外产品的最新性能比较。     

Learning and Revising User Profiles: The Identification of Interesting Web Sites

We discuss algorithms for learning and revising user profiles that can determine which World Wide Web sites on a given topic would be interesting to a user. We describe the use of a naive Bayesian classifier for this task, and demonstrate that it can incrementally learn profiles from user feedback on the interestingness of Web sites. Furthermore, the Bayesian classifier may easily be extended to revise user provided profiles. In an experimental evaluation we compare the Bayesian classifier to computationally more intensive alternatives, and show that it performs at least as well as these approaches throughout a range of different domains. In addition, we empirically analyze the effects of providing the classifier with background knowledge in form of user defined profiles and examine the use of lexical knowledge for feature selection. We find that both approaches can substantially increase the prediction accuracy.