基于遗传神经网络算法后勤指挥决策能力预测

分析了后勤指挥的主要影响因素,运用信息论中的信息压缩原理,建立和优化了后勤机关指挥决策能力预测指标体系。建立了遗传算法优化的BP神经网络后勤机关指挥能力预测模型,消除了BP神经网络存在的初始权值和阈值难以确定的局限性。给出了预测实例,证明了该算法的合理性和有效性。     

星载高速无线数据网络协议的设计

星载无线数据网络可以解除航天器内错综复杂的线缆网的束缚,是航天器轻小型化的重要技术储备。旨在替代航天器内现有的点对点三线制的低电压差分信号线缆,提出了一种基于脉冲超宽带(IRUWB)技术的星载高速无线数据网络的设计方案,并重点介绍了高速无线网络协议的设计和实现。网络协议设计参考了美国军用数据总线标准MIL-STD-1553B协议,采用时分制指令响应机制,按物理层、链路层、网络层和应用层进行了详细说明,以适应星载高速率无线数据传输的要求,具有灵活性高、可靠性高、扩展性高的特点。网络协议的IP核经过地面演示系统进行验证,实验测得应用层数据传输的误码率小于10-9。     

边消警文献信息资源保障体系建设构想

阐述了边消警文献信息资源保障体系建设的内涵和建设原则,从资源体系建设、服务体系建设、网络平台建设和保障体系建设等四方面对边消警文献信息资源保障体系建设的内容进行了探讨.     

On the uncapacitated K‐commodity network design problem with zero flow‐costs

Extending Sastry's result on the uncapacitated two‐commodity network design problem, we completely characterize the optimal solution of the uncapacitated K‐commodity network design problem with zero flow costs for the case when K = 3. By solving a set of shortest‐path problems on related graphs, we show that the optimal solutions can be found in O(n³) time when K = 3, where n is the number of nodes in the network. The algorithm depends on identifying a list of “basic patterns”; the number of basic patterns grows exponentially with K. We also show that the uncapacitated K‐commodity network design problem can be solved in O(n³) time for general K if K is fixed; otherwise, the time for solving the problem is exponential. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

高性能RTI自适应通信机制研究

为了提高HLA仿真系统在高性能计算平台上的运行性能,针对高性能计算平台的高性能层次式通信环境,提出了一种共享内存/IB/以太网自适应RTI通信机制-SACM机制,该机制能够根据通信双方所在节点的网络拓扑信息,自适应建立延迟最小的通信连接,实现共享内存、IB等高速互连及以太网互连的自适应选择.同时在该通信机制中,针对节点内高速共享内存通信需求,提出了一种面向多盟员互连的共享内存通信算法,有效提高了节点内盟员通信效率.对象属性值更新延迟测试结果表明,该通信机制可以有效提高RTI在高性能计算平台的通信性能.     

改进的前向信息修补算法及其应用

前向信息修补算法可以对离散动态贝叶斯网络的缺失数据进行预测,该算法只适用于所有观测节点是相互独立的网络,却不能处理观测节点有依赖关系网络的缺失数据。针对该算法的这一缺陷,提出了改进的前向信息修补算法,在分析离散动态贝叶斯网络的缺失数据具有二种基本形式的基础上,推导出了每种形式的相应预测公式。继而构建了用于识别威胁源离散动态贝叶斯网络的模型。仿真实验验证了改进的前向信息修补算法的有效性。     

水面舰艇对海作战可靠性的新型评价方法

针对水面舰艇对海作战网络的特点,基于复杂网络"反社区"性质,将对海作战网络描述成"反社区"有向赋权图。结合传统可靠性分析方法,提出了一种新的可靠性评价指标,进一步扩展了传统可靠性指标的4个特性,并通过实例仿真,证明了该指标的有效性。该方法将传统可靠性理论与复杂网络理论有效地结合起来,将进一步扩大复杂网络的适用范围。     

ET:一种能耗有效的高性能嵌入式处理器

随着标准和算法的不断演进,高端嵌入式应用对性能和能耗提出了越来越高的要求.然而,能耗问题成为将VLSI潜力转换为实际应用需求的最大挑战,基于此,提出ET( Embedded Tera-scale Computing)处理器设计.ET以众多轻量级处理器(称为小核)来搭建目标处理器,每个小核都是一个基于显式数据和指令管理的...     

Optimal service and arrival rates in Jackson queueing networks

In this paper we present an algorithm for solving a class of queueing network design problems. Specifically, we focus on determining both service and arrival rates in an open Jackson network of queueing stations. This class of problems has been widely studied and used in a variety of applications, but not well solved due to the difficulty of the resulting optimization problems. As an example, consider the classic application in computer network design which involves determining the minimum cost line capacities and flow assignments while satisfying a queueing performance measure such as an upper limit on transmission delay. Other application areas requiring the selection of both service and arrival rates in a network of queues include the design of communication, manufacturing, and health care systems. These applications yield optimization problems that are difficult to solve because typically they are nonconvex, which means they may have many locally optimal solutions that are not necessarily globally optimal. Therefore, to obtain a globally optimal solution, we develop an efficient branch and bound algorithm that takes advantage of the problem structure. Computational testing on randomly generated problems and actual problems from a health care organization indicate that the algorithm is able to solve realistic sized problems in reasonable computing time on a laptop computer. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 1–17, 2000     

基于神经网络技术和小波分析的发动机 气缸气密性能检测研究

提出了一种基于小波分析和神经网络技术检测发动机气缸气密性能的新方法。对电涡流位移传感器拾取的飞轮位移信号直接进行时域采样 ,通过处理和小波分析 ,获得反映发动机启动瞬时转速尺度参数 ,BP神经网络以此作为输入向量 ,从而有效地检测发动机气缸气密性能。