无线局域网协议分析系统的设计与实现

现有的无线局域网协议分析系统多采用基于PC的单点模式,操作人员需在现场实施分析,存在分析范围小、灵活性差等问题。该文提出一种分布式协议分析系统构架,该系统通过无线局域网数据采集设备对多个无线局域网采集数据,该设备与协议分析平台间通过CDMA2000网络多路数据链路进行远程控制和数据上传。给出了无线局域网协议分析的方法和数据采集设备的设计与实现,经测试表明该设备可以有效采集无线局域网通信信息,该系统能够准确地分析无线局域网协议,在安全防护、网络监测等方面有较好的应用价值。     

多项式非线性系统局部镇定控制

针对多项式非线性系统,提出一种用于验证二次型候选Lyapunov函数的数值计算方法.在该方法中,多项式系数被分解成带自由变量的系数矩阵,将正定性验证问题转化为矩阵不等式问题求解.对于局部稳定性分析,采用多个Lyapunov函数来趋近吸引域.每个Lyapunov函数均在各指定方向上进行最大半径优化.在稳定性分析基础上,提出保收敛率的局部镇定控制器设计方法以扩大吸引域.     

一种基于水平分布的多决策表全局属性核求解算法

针对全局决策表一致和不一致情况,探讨了全局属性核与局部属性核之间的关系,提出一种基于水平分布的多决策表全局属性核求解算法.该算法充分利用各局部属性核,且通过传送压缩的局部决策表可有效地减少网络通讯量,从而提高全局属性核求解的效率.算法分析结果表明,该算法是有效且可行的.     

一种改进的基音周期提取算法研究

现有的基音周期提取方法在准确度和稳健性上存在一定的局限性,很难准确地提取出信噪比较低的语音信号的周期.针对这一问题,提出一种基于小波变换的基音周期提取改进算法,将TEO(Teager Energy Operator)算子与二进小波变换结合起来,首先进行清浊判定,然后只对浊音帧采取多尺度小波分析提取周期,提出用幅度信息和出现概率信息校正二进小波模极大值间距,从而得到准确的周期.计算机仿真结果表明,与传统方法相比,不仅提高了处理效率,而且具有更高的精确度和稳定性.     

基于人脸几何结构的表情识别

介绍一种利用人脸部几何结构进行表情识别的方法。在对眼睛和嘴巴的12个特征点进行准确提取的基础上,把已经得到的特征点连接起来并以向量的形式表示,称之为特征向量,把欲识别的表情图像的特征向量与已知的中性表情的特征向量进行长度和方向的比较,根据人脸表情在生理结构上的先验知识通过局部表情识别和数据融合来识别表情。     

改进NS2对局域网分布式系统在线仿真的实现

目前大多数仿真系统采用流量发生器等模拟l离散事件的发生,为了充分模拟网络环境中分布式系统各子系统的并发运行和彼此之间依据算法的实时交互,设有虚拟局域网VLAN的IEEE802.1Q协议。提出一种改进NS2模拟局域网分布式系统实际运行的在线仿真的集成方法,将各分布式应用对象移植为NS2的C++扩展对象,执行实际算法,构造一个模拟中心调度对象,管理各分布式对象的并发运行、转发各分布式对象之间的消息交给NS2以模拟其网络延迟,与领域仿真软件交换数据等。对NS2中共享式以太网协议模块改造,添加VLAN802.1Q协议模块,分别实现对交换式局域网和多播报文的模拟。变电站自动化系统的通信网络仿真实验结果,验证了在线仿真方法是有效的、所扩展的NS2模块是正确的。     

基于纹理与灰度协同进化的图像分割算法

为了获得更好的分割效果,成功地将局部二值模式(LBP)纹理模型和灰度特征纳入到合作型协同进化算法(Co-CEA)框架中,并实现了图像分割。 该方法首先分别对LBP纹理模型和灰度特征进行编码,然后运用Co-CEA进行进化操作,最后通过本文提出的联合适应度函数确定分割区域。实验结果表明该方法在分割质量上效果明显,并有效地降低了时间复杂度。     

利用CPU时间戳实现局域网时间同步的新机制

当前在网络应用中,经常需要多台计算机协同工作,因而要有一个统一时钟。提出一种利用CPU内部高精度时间戳实现局域网时钟同步的新机制,并用VC++语言编写了服务端与客户端软件,且在Windows XP 和Windows 2000环境的小型局域网进行测试。结果表明,该算法同步精度较高,且系统运行稳定。     

Five-axis tool path generation for a flat-end tool based on iso-conic partitioning

Traditionally, for the flat-end tool, due to the intertwined dependence relationship between its axis and reference point, most 5-axis tool-path generation algorithms take a decoupled two-stage strategy: first, the so-called cutter contact (CC) curves are placed on the part surface; then, for each CC curve, tool orientations are decided that will accommodate local and/or global constraints such as minimum local gouging and global collision avoidance. For the former stage, usually simplistic “offset” methods are adopted to determine the cutter contact curves, such as the iso-parametric or iso-plane method; whereas for the latter, a common practice is to assign fixed tilt and yaw angle to the tool axis regardless the local curvature information and, in the case of considering global interference, the tool orientation is decided solely based on avoiding global collision but ignoring important local machining efficiency issues. This independence between the placement of CC curves and the determination of tool orientations, as well as the rigid way in which the tilt and yaw angle get assigned, incurs many undesired problems, such as the abrupt change of tool orientations, the reduced efficiency in machining, the reduced finishing surface quality, the unnecessary dynamic loading on the machine, etc. In this paper, we present a 5-axis tool-path generation algorithm that aims at alleviating these problems and thus improving the machining efficiency and accuracy. In our algorithm, the CC curves are contour lines on the part surface that satisfy the iso-conic property — the surface normal vectors on each CC curve fall on a right small circle on the Gaussian sphere, and the tool orientations associated to a CC curve are determined by the principle of minimum tilt (also sometimes called lead) angle that seeks fastest cutting rate without local gouging. Together with an elaborate scheme for determining the step-over distance between adjacent CC curves that seeks maximum material removal, the presented algorithm offers some plausible advantages over most existing 5-axis tool-path generation algorithms, particularly in terms of reducing the angular velocity and acceleration of the rotary axes of the machine. The simulation experiments of the proposed algorithm and their comparison with a leading commercial CAM software toolbox are also provided that demonstrate the claimed advantages.