无线Mesh网络入侵检测关键技术研究

本文研究了无线Mesh网络的结构和特点,以及入侵检测系统(IDS)在构建安全WMN中不可替代的作用。深入分析了AdHoc网络IDS、跨层和网络故障检测技术特点以及无线Mesh网络自身的安全需求。在此基础上,本文结合网络故障检测与跨层技术提出了一种基于代理的非对称分布式协作IDS结构,对代理模块设计原则进行了详细分析。最后以MAC自私行为攻击为例对该结构进行了模拟。结果显示,该结构能够很好地适应无线Mesh网络。     

用二重互相关算法扩展涡街流量计测量下限

介绍了采用二重互相关算法对强噪声干扰下的涡街信号进行滤波的原理和具体实现方法。对涡街流量计在测量下限时的信号与噪声情况进行了分析,将二次互相关滤波算法引入涡街信号的数字滤波过程中。给出了具体计算方法和各主要参数的取值规则。在实际使用中取得了良好的效果。     

资产管理系统设计与实现

本系统的功能为建立资产数据库,编程实现了资产数据库动态化管理。具有以下优点:1.自动建立数据库。2.灵活的查询功能。3.可方便地对数据库文件进行合并,添加、修改、删除数据库记录。4.具有三种格式的输出功能,即:把数据库文件转化成Excel表打印、设备入库单打印,打印设备标签。5.该软件的查询输出功能和设备标签管理功能可实现资产管理准确、省时、一步到位。在清产核资时可减少大量时间,提高工作效率。6.具有通用性,可适应性,易于扩充、操作和维护。     

考虑天然气混氢的园区综合能源系统电制氢优化配置

电制氢和天然气混氢技术在促进可再生能源消纳、降低系统碳排放量方面具有良好的理论研究和工程应用前景。面向含高比例可再生能源的园区综合能源系统,提出一种计及天然气混氢及跨季节存储的电制氢优化配置方法。首先梳理了含氢园区综合能源系统的运行框架和能量流动关系,建立园区内部能源生产、转换与存储设备的数学模型,其次以设备的年化投资成本、园区综合能源系统的年度运行成本和碳交易成本最优为目标,提出电制氢优化配置模型。最后通过算例分析表明电制氢及天然气混氢技术的引入可提升可再生能源的消纳能力,降低系统的整体经济成本和碳排放量,并分析了电解槽投资成本、混氢体积分数上限以及经济性和低碳性成本权重系数变化对规划运行结果的影响。关键词：园区综合能源系统;电制氢;天然气混氢;碳交易;跨季节储氢;优化配置 中图分类号：TM732     

Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models

Current extensions of hidden Markov models such as structural, hierarchical, coupled, and others have the power to classify complex and highly organized patterns. However, one of their major limitations is the inability to cope with topology: When applied to a visible observation (VO) sequence, the traditional HMM-based techniques have difficulty predicting the n-dimensional shape formed by the symbols of the VO sequence. To fulfill this need, we propose a novel paradigm named “topological hidden Markov models” (THMMs) that classifies VO sequences by embedding the nodes of an HMM state transition graph in a Euclidean space. This is achieved by modeling the noise embedded in the shape generated by the VO sequence. We cover the first and second level topological HMMs. We describe five basic problems that are assigned to a second level topological hidden Markov model: (1) sequence probability evaluation, (2) statistical decoding, (3) structural decoding, (4) topological decoding, and (5) learning. To show the significance of this research, we have applied the concept of THMMs to: (i) predict the ASCII class assigned to a handwritten numeral, and (ii) map protein primary structures to their 3D folds. The results show that the second level THMMs outperform the SHMMs and the multi-class SVM classifiers significantly.     

基于Windows平台VxWorks交叉编译工具的设计

在开发VxWorks嵌入式平台时,开发厂商会推出一整套交叉编译工具链来配合自身的嵌入式产品,但是这些由商业公司提供的工具链,都不会附有工具链相关的源代码和制作方法,灵活性不足,并且它们一般都与整套开发系统捆绑销售使用,成本较高.为了更好地理解这种技术和降低成本,使用了国际开源组织GNU开发的工具链作为产品开发的工具,提...     

Optimized element positions for prescribed radar cross section pattern of linear dipole arrays

Approximate closed‐form expression is derived for the scattering from dipole arrays based on the equivalent circuit theory. Then, a method is proposed for synthesis of dipole arrays to produce desired scattering pattern using genetic algorithm (GA). In the synthesis method, the element positions in an array are considered as the optimization parameter and the derived expression is used to evaluate the fitness function of GA. To assess the validity and efficiency of the proposed method, several linear dipole arrays are designed to obtain scattering pattern with low sidelobe level (SLL). A good agreement between the patterns calculated using the expression and simulated by FEKO validates the accuracy of the presented expression. In addition, the numerical results show that the maximum SLL of the scattering pattern is considerably reduced by optimization. © 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2011.     

改进的关联分类算法在交叉营销中的应用

提出一种基于频繁闭项集和不精确推理机制的关联分类算法CHC用于分析企业交叉营销过程,指导商业决策。改进了基于H-Struct动态链接结构的频繁闭项集挖掘算法H-C,将类别属性插入H-Struct头表以减小搜索空间,设定局部相对最小支持度阈值和全局最大支持度阈值过滤无用项集,通过最大挖掘长度阈值提高规则的可用性。扩充了EMYCIN系统中的不精确推理算法,使之可以同时处理后件为负项的关联规则。算法克服了传统分类算法只能得到类别标号的不足,通过求得的类别从属可信度,方便企业对多项营销方案做综合评价。与传统关联分类算法的对比实验证明,改进之后的分类算法在运行速度和分类精度上是高效的。