基于神经网络的舰艇指控系统故障诊断专家系统

针对舰艇指控系统设备故障的复杂性、多样性,采用神经网络和专家系统相结合的方法,构建了舰艇指控系统故障诊断系统,阐述了该系统的基本结构,以及知识库、推理机和解释机的实现方法。较好地解决了舰艇指控系统故障诊断问题。为舰艇指控系统故障诊断提出了一种新的途径。     

基于排队论的舰艇编队网络化协同防空效能分析

通过排队论的方法,研究了舰艇编队网络中心化防空作战体系,建立效能评估模型,为决策提供了理论依据。     

网络信息系统的安全评估技术研究

为了对网络安全进行的研究,我们提出了网络信息系统的安全评估方法。文章首先介绍了网络安全评估技术的基本知识,然后对安全评估模型进行了分析计算,阐述了网络安全技术措施的有效性;最后对网络安全态势的评估给出了具体的算法和公式。通过该文的技术研究,使读者对网络信息系统的安全评估技术有了初步的了解。     

基于IP网络的多媒体指挥调度系统

介绍了在宽带IP网上依托H.323技术实现多媒体通信的特点。根据宽带网络不同构成情况,提出切实可行的基于IP网络技术的多媒体通信调度系统技术解决方案,并且分析系统的结构和所实现的功能。     

IEEE802．16d无线MESH网络路由协议研究

无线Mesh网络是一种新型的无线通信网络,具有自组织、自管理和自愈的特点,是一种多跳的宽带无线接入网络结构,也是一种高容量、高速率的分布式网络。在介绍WMN基本概念的基础上,针对制约MESH网络发展的路由技术问题,在传统AODV路由协议的基础上提出了新的路由协议OLRP,并给出仿真结果。     

A generic class of first order node models for dynamic macroscopic simulation of traffic flows

Node models for macroscopic simulation have attracted relatively little attention in the literature. Nevertheless, in dynamic network loading (DNL) models for congested road networks, node models are as important as the extensively studied link models. This paper provides an overview of macroscopic node models found in the literature, explaining both their contributions and shortcomings. A formulation defining a generic class of first order macroscopic node models is presented, satisfying a list of requirements necessary to produce node models with realistic, consistent results. Defining a specific node model instance of this class requires the specification of a supply constraint interaction rule and (optionally) node supply constraints. Following this theoretical discussion, specific macroscopic node model instances for unsignalized and signalized intersections are proposed. These models apply an oriented capacity proportional distribution of the available supply over the incoming links of a node. A computationally efficient algorithm to solve the node models exactly is included.     

A network option portfolio management framework for adaptive transportation planning

A real option portfolio management framework is proposed to make use of an adaptive network design problem developed using stochastic dynamic programming methodologies. The framework is extended from Smit’s and Trigeorgis’ option portfolio framework to incorporate network synergies. The adaptive planning framework is defined and tested on a case study with time series origin-destination demand data. Historically, OD time series data is costly to obtain, and there has not been much need for it because most transportation models use a single time-invariant estimate based on deterministic forecasting of demand. Despite the high cost and institutional barriers of obtaining abundant OD time series data, we illustrate how having higher fidelity data along with an adaptive planning framework can result in a number of improved management strategies. An insertion heuristic is adopted to run the lower bound adaptive network design problem for a coarse Iran network with 834 nodes, 1121 links, and 10 years of time series data for 71,795 OD pairs.     

基于BP神经网络的压气站风险评价方法

压气站作为输气管网系统中的重要组成部分,在使用过程中会受到环境因素、腐蚀因素、防腐系统等因素的影响,在一定程度上增大了压气站的风险水平.文中借鉴国内压气站风险评价技术的基本思想和处理方法,结合国内压气站设计、施工、运行、维护的实际条件,根据人工神经网络的原理和方法,建立了BP神经网络风险评价模型.利用某输气公司提供的2...     

铁路宽带移动通信网络规划技术研究

提出了一种铁路宽带移动通信网络的规划方法.该方法参照通用WiMAX网络规划步骤,分析了典型铁路移动通信业务的通信速率和服务质量（QoS）需求,结合铁路使用环境进行了各类业务的链路预算并得出网络覆盖能力,就覆盖能力数据提出了典型铁路设定情况下的容量规划算法原则,最后基于OPNET软件对典型铁路WiMAX网络的规划方案进行了仿真.