WSN中基于LEACH的多层分簇路由方案

针对传统分簇路由中存在的节点能耗严重失衡问题,提出一种新的成簇路由方案。在参考LEACH路由算法的基础上,融合多层分簇的思想,通过在网络拓扑的底层构建具有多个簇头节点的簇集合、在拓扑的顶层构建多跳转发机制,提出能量高效的多层分簇路由算法。仿真结果表明,该算法在网络生存时间和负载均衡方面较已有算法有较大的提高。     

基于语义与规则的有标复句层次体系研究

汉语复句层次关系分析是中文信息处理领域极具挑战性的课题之一。为解决关系词标识信息不充足所导致的复句层次关系识别准确率下降问题,挖掘了影响分句关联的形式化语义知识,在此基础上构建了小句关联体识别算法并将其应用于相应的复句层次判定规则之中,以辅助分析其层次关系;对于其余单、多重有标复句的层次识别,使用基于搭配规则的移进-归约算法;最后提出了一种语义与规则相结合的复句层次分析模型。实验结果表明,此方法在一定程度上提高了复句层次关系识别的准确率。     

多变量分支混沌签名体制

针对量子计算机对现有密码算法的威胁,结合多变量公钥体制和混沌系统,提出一种能抵抗量子算法的分支密码体制。体制的中心映射有两个分支,分支一使用传统多变量公钥密码体制,分支二使用混沌密码体制,将两分支的输出结果相加,最后通过仿射变换将中心映射进行隐藏。利用分支结构提高计算效率,利用混沌系统克服传统多变量公钥密码体制的缺点以增强安全性,适用于各类设备进行签名运算。     

New receipt-free voting scheme using double-trapdoor commitment

It is considered to be the most suitable solution for large scale elections to design an electronic voting scheme using blind signatures and anonymous channels. Based on this framework, Okamoto first proposed a receipt-free voting scheme [30] for large scale elections. However, in the following paper, Okamoto [31] proved that the scheme [30] was not receipt-free and presented two improved schemes. One scheme requires the help of the parameter registration committee and the other needs a stronger physical assumption of the voting booth. In this paper, we utilize the double-trapdoor commitment to propose a new receipt-free voting scheme based on blind signatures for large scale elections. Neither the parameter registration committee nor the voting booth is required in our scheme. We also present a more efficient zero-knowledge proof for secret permutation. Therefore, our scheme is much more efficient than Okamoto’s schemes [30] and [31] with the weaker physical assumptions. Moreover, we prove that our scheme can achieve the desired security properties.     

一种多功能正弦信号发生器的设计

介绍了一种以FPGA和单片机为控制核心,基于调制原理配合使用DDS专用芯片AD9851,实现了一种多功能正弦信号发生器。实现了在30Hz～12MHz频率范围内正弦信号的无失真输出,且在输出端接50Ω功率电阻的条件下,输出电压峰峰值在5.8V～6V范围内。系统还具有AM、FM、ASK、FSK、PSK调制的功能,整体工作稳定,界面友好,操作简单。     

一种调和序列生成及其在故障定位中的应用

为了提高软件的可靠性,在软件运行发生故障时,快速、准确地定位故障点成为非常有意义的研究课题。与以往方法不同,在将故障运行序列和最部近运行序列进行差异对比前,为了避免选取第一条最近成功路径时引起的“盲区”使得后期搜索空间加大,引入了生物学基因序列比对原理,对最部近运行序列不是通过编辑距离比较进行选取,而是通过一条调和序列进行处理。实验表明,方法的故障定位效果较好。     

结合遗传优化的多结构多尺度形态学消噪

传统的形态滤波以及广义形态滤波、自适应加权广义滤波、基于多结构元素的广义形态滤波、基于多方向的广义滤波和基于多尺度的广义滤波在考虑形态学滤波时基本上只兼顾到某一方面或者说只对某一方面的不足进行了改进,不论哪一种滤波方式都没有完全消除噪声。提出了一种基于自适应遗传算法的多结构多尺度形态学滤波方法,主要考虑了滤波窗口的大小、结构元素的种类和方向以及结构元素的优化选择问题,采用遗传算法对结构元素进行优化,并考虑到遗传算法自身的收敛性,采用了保留精英的策略,另外考虑到遗传算法参数的选择问题采用了自适应策略。同时,结合自适应加权广义形态滤波的思想构建基于遗传优化的多结构多尺度自适应加权形态滤波器,滤波效果比传统的形态滤波、广义形态滤波及在此基础上改进的滤波方法效果均好。     

基于MVC模型的信息管理系统设计

介绍了MVC模型的基本组成结构,对组成MVC模型的几种基本设计模式进行了解释,将传统的面向对象的MVC编程模型与VB．NET相结合进行C／S模式的应用程序开发,并通过信息管理系统为实例,对其进行了具体实现。     

A Multi-parameter Approach to Automated Building Grouping and Generalization

This paper presents an approach to automated building grouping and generalization. Three principles of Gestalt theories, i.e. proximity, similarity, and common directions, are employed as guidelines, and six parameters, i.e. minimum distance, area of visible scope, area ratio, edge number ratio, smallest minimum bounding rectangle (SMBR), directional Voronoi diagram (DVD), are selected to describe spatial patterns, distributions and relations of buildings. Based on these principles and parameters, an approach to building grouping and generalization is developed. First, buildings are triangulated based on Delaunay triangulation rules, by which topological adjacency relations between buildings are obtained and the six parameters are calculated and recorded. Every two topologically adjacent buildings form a potential group. Three criteria from previous experience and Gestalt principles are employed to tell whether a 2-building group is ‘strong,’ ‘average’ or ‘weak.’ The ‘weak’ groups are deleted from the group array. Secondly, the retained groups with common buildings are organized to form intermediate groups according to their relations. After this step, the intermediate groups with common buildings are aggregated or separated and the final groups are formed. Finally, appropriate operators/algorithms are selected for each group and the generalized buildings are achieved. This approach is fully automatic. As our experiments show, it can be used primarily in the generalization of buildings arranged in blocks.

基于COM与N层B/S结构的SNMP网管研究与实现*

分析了传统单一C/S结构的不足以及新型N层B/S结构的优越性,阐述了基于Web技术的网络管理是未来网络管理的发展趋势,结合现代软件开发中的软件复用理论,提出并设计实现了一种基于COM技术与N层B/S结构的SNMP网管系统模型,着重叙述了该系统中所使用的关键技术与设计要点。