互联网远程视频监控系统传输与控制分析

简述了远程监控系统的发展和技术要求,并基于目前流行的H.264编码格式和RTP协议探讨了远程监控的网络管理模块的视频传输与控制设计思路和方案.     

基于Base64编码的数据加密技术

深入分析了Base64编码的原理，给出了基于动态编码表的Base64编码数据加密方法。     

专用计算机局域网安全性分析与设计方法讨论

通过分析专用计算机网络的特点,运用系统工程方法,总结出普遍适用于专用局域网的安全性分析与设计模型。该模型以整体视角引入故障树分析方法,分析导致整个网络安全受损的所有因素,同时以局部视角,提出了单个网络、节点的安全性分析方法和工作程序,为全面分析网络安全薄弱环节和隐患,提出了新的思路和方法。     

多智能方法及其融合系统在化工过程故障诊断中的应用

简要介绍了决策树、神经网络、K近邻等五种智能方法,提出了一种将这五种智能方法相融合的故障诊断系统,并将其应用在催化裂化装置上.通过对这五种智能方法及其融合系统的性能考察表明,融合策略发挥了各方法的优点,回避了它们的缺点,提升了系统的整体性能,其召回率为100%,精确度为98%.     

基于故障树的计算机安全性分析模型

提出了通过分析计算机系统的资源实体、访问者权限、安全需求和弱点等安全属性,按照不同的安全需求构造出安全故障树来直观地反映攻击者可能选取的攻击手段的安全状况评价方法;分析安全故障树,使用潜在攻击路径和系统安全失效概率从定性和定量两个方面表达计算机系统的安全状况,为系统的安全改进提供指导和建议。     

An efficient distributed algorithm for generating and updating multicast trees

As group applications are becoming widespread, efficient network utilization becomes a growing concern. Multicast transmission represents a necessary lower network service for the wide diffusion of new multimedia network applications. Multicast transmission may use network resources more efficiently than multiple point-to-point messages; however, creating optimal multicast trees (Steiner Tree Problem in networks) is prohibitively expensive. This paper proposes a distributed algorithm for the heuristic solution of the Steiner Tree Problem, allowing the construction of effective distribution trees using a coordination protocol among the network nodes. Furthermore, we propose a novel distributed technique for dynamically updating the multicast tree. The approach proposed has been implemented and extensively tested both in simulation, and on experimental networks. Performance evaluation indicates that the distributed algorithm performs as well as the centralized version, providing good levels of convergence time and communication complexity.     

An algorithm for polygonal approximation of a digital object

A fast and simple heuristic algorithm for polygonal approximation is presented. The algorithm is based on a mark and sweep technique. Results of computer implementation with various images are reported.     

Boolean difference techniques in fault tree analysis

For an electrical, mechanical, or hybrid system described diagramatically as a network of interconnected components, fault tree modeling of system reliability as a function of individual component failure probabilities gives rise to logic expressions obtained from the network connections. Application of the method of Boolean differences in the analysis of such Boolean expressions is discussed, and it is shown that the influence of the status of specific components on the reliability of the total system may be investigated by straightforward algebraic operations on the network failure function.     

基于蒙特卡洛树搜索的数值目标子群发现算法

MonteCloPi算法是一种基于蒙特卡洛树搜索(Monte Carlo tree search, MCTS)的任意时间子群发现算法,旨在使用MCTS策略构建非对称的最佳优先搜索树来发现高质量的多样性模式集,但是限制了目标为二值变量.为此,本文结合了数值目标的特点,通过为置信度上界(upper confidence bound, UCB)公式选取合适的C值、动态调整各个样本的拓展权重并对搜索树进行剪枝、使用自适应top-k均值更新策略,将MonteCloPi算法拓展到了数值目标.最后,在UCI数据集、全国健康与营养调查(national health and nutrition examination survey, NHANES)听力测试数据集上的实验结果表明本文的算法相比其他算法可以发现更高质量的多样性模式集,并且最优子群的可解释性也更好.