高性能计算和数据中心融合网络研究综述

随着高性能计算、大数据处理、云计算和人工智能计算呈融合发展趋势,高性能计算网络和数据中心网络的融合网络成为互连网络发展的重要趋势。分析当前融合网络研究现状;针对当前最具代表性的融合网络进行详细阐述,全面展示该领域的最新技术和动态;提出融合网络面临的技术挑战;基于技术挑战对融合网络的发展趋势进行展望,包括融合网络协议栈设计中融合与分化并存、基于在网计算实现融合网络性能加速、面向新兴应用需求优化融合网络性能。     

超空泡航行体深度跟踪串级控制策略

针对空泡与航行体之间非线性滑行力导致的超空泡航行体稳定性问题,提出了基于圆判据理论和Nelder-Mead算法的超空泡航行体深度跟踪串级控制方法。介绍了超空泡航行体数学模型以及圆判据定理基础知识。结合模型特性推导了超空泡航行体串级误差状态方程,利用圆判据定理研究了内环绝对稳定性。通过Nelder-Mead算法对内环反馈参数进一步优化。仿真分析结果表明：所提控制方法便于反馈参数整定,可以充分利用超空泡航行体的控制量实现深度跟踪。     

基于改进ACO算法的多UAV协同航路规划

针对无人机(Unmanned Aerial Vehicle,UAV)在执行任务过程中遇到的诸如敌方防空火力、地形障碍及恶略天气等各类威胁源,采用威胁源概率分布的方法进行威胁的量化处理,构建任务空间的威胁概率密度分布图,有效消除了威胁源的差异性。根据UAV在任务飞行过程中的性能约束与时、空协同约束,同时考虑任务过程中UAV的损毁概率最小、任务航程最短,构建了相应的综合任务航路代价最优化目标函数。结合传统蚁群优化算法(Ant Colony Optimization,ACO)在解决此类问题中的不足,给出了相应的改进策略,提出采用协同多种群ACO进化策略来实现多UAV在满足时、空协同约束下的协同航路规划。通过相应的仿真计算表明,改进后的ACO协同多种群进化策略算法更适用于多UAV协同任务航路规划问题,具有一定的实用性。从而为多UAV协同任务航路规划问题的求解提供了科学的决策依据。     

反导作战多传感器任务规划技术

多传感器任务规划技术是反导作战中的重要研究内容之一,即解决如何发挥多维传感器资源的互补优势,构建"传感器-目标-任务"序列,以实现整体执行效果最优。基于JDL信息融合模型深入剖析了反导作战多传感器任务规划体系结构及其信息交互。在此基础上,结合反导作战特点,从应用和理论研究两个方面分别对多传感器任务规划技术进行了叙述。     

基于排队论模型的轮询协议数据链系统时延分析

基于数据链系统的作战方式已经成为了现代化战场的主流,战争中战机稍纵即逝,因此,分析数据链系统的信息传输时延特性意义重大。针对数据链系统信息传输时延问题,分析了数据链系统传输命令消息,目标消息以及中继消息的一般过程,并给出了排队论模型。根据排队论的相关知识得到了轮询协议数据链传输时延的公式,最后利用仿真软件进行了分析研究。     

基于三维科研态势演化图谱的国防科技发展评估

当前随着信息技术的深入发展,大数据时代已经悄然而至。大数据为国防科技发展带来了重大机遇的同时,其所带来"数据眩晕"和"数据冗余"效应不容忽视。面对大数据对国防科技发展所带来的巨大挑战,准确、快速、实时地把握和预测科研发展态势,已经成为科研工作者和科研管理高层决策者的迫切需要。在对传统科学知识图谱深入研究的基础上,本文提出一种基于网络和单词分布式嵌入的三维态势演化图谱模型,模型充分利用了文献中的结构信息和语义信息,并对结果进行可视化展示,实验表明,该方法对于掌握国防科技发展动向,挖掘技术前沿,把握技术机会,促进国防科技发展具有较大的参考价值。     

Many‐server loss models with non‐poisson time‐varying arrivals

This article proposes an approximation for the blocking probability in a many‐server loss model with a non‐Poisson time‐varying arrival process and flexible staffing (number of servers) and shows that it can be used to set staffing levels to stabilize the time‐varying blocking probability at a target level. Because the blocking probabilities necessarily change dramatically after each staffing change, we randomize the time of each staffing change about the planned time. We apply simulation to show that (i) the blocking probabilities cannot be stabilized without some form of randomization, (ii) the new staffing algorithm with randomiation can stabilize blocking probabilities at target levels and (iii) the required staffing can be quite different when the Poisson assumption is dropped. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 177–202, 2017     

Statistical analysis for masked system life data from Marshall‐Olkin Weibull distribution under progressive hybrid censoring

This paper considers the statistical analysis of masked data in a series system, where the components are assumed to have Marshall‐Olkin Weibull distribution. Based on type‐I progressive hybrid censored and masked data, we derive the maximum likelihood estimates, approximate confidence intervals, and bootstrap confidence intervals of unknown parameters. As the maximum likelihood estimate does not exist for small sample size, Gibbs sampling is used to obtain the Bayesian estimates and Monte Carlo method is employed to construct the credible intervals based on Jefferys prior with partial information. Numerical simulations are performed to compare the performances of the proposed methods and one data set is analyzed.     

An exact network flow formulation for cell‐based evacuation in urban areas

In the literature two common macroscopic evacuation planning approaches exist: The dynamic network flow approach and the Cell–Transmission–Based approach. Both approaches have advantages and disadvantages. Many efficient solution approaches for the dynamic network flow approach exist so that realistic problem instances can be considered. However, the consideration of (more) realistic aspects (eg, density dependent travel times) results in non‐linear model formulations. The Cell‐Transmission‐Based approach on the other hand considers realistic traffic phenomena like shock waves and traffic congestion, but this approach leads to long computational times for realistic problem instances. In this article, we combine the advantages of both approaches: We consider a Cell‐Transmission‐Based Evacuation Planning Model (CTEPM) and present a network flow formulation that is equivalent to the cell‐based model. Thus, the computational costs of the CTEPM are enormously reduced due to the reformulation and the detailed representation of the traffic flow dynamics is maintained. We investigate the impacts of various evacuation scenario parameters on the evacuation performance and on the computational times in a computational study including 90 realistic instances.     

Missile defense and strategic stability: Terminal High Altitude Area Defense (THAAD) in South Korea

South Korea is threatened by its troubled relationship with North Korea. North Korea possesses a large cache of missiles as well as chemical and biological weapons, and the future potential to mount nuclear weapons on its missiles. The United States is also challenged because of its defense commitments to Seoul. As a countermeasure, the United States and South Korea decided to deploy Terminal High Altitude Area Defense (THAAD) missile defenses in South Korea. However, China has objected. Chinese scholars believe the THAAD radar would be able to track Chinese inter-continental ballistic missiles, thereby weakening their deterrent. A technical analysis does not support this assertion. However, it is vital for South Korea, given its proximity and economic interdependence, to reassure China. South Korea should highlight that THAAD will be deployed by the United States Forces Korea and is not a commitment by Seoul to become part of U.S.-led missile defenses in the Asia-Pacific.