关于烟雾对光电成像装备的干扰效果试验及其试验靶标

主题是如何通过外场试验定量评价烟雾对光电成像装备的干扰效果。提出一种综合靶标,可用于这种外场试验,也可考察光电成像装备抗烟雾干扰的能力。它适用于普通观瞄器材、照相侦察和摄像装备、微光夜视设备、热成像系统等。     

对数正态分布加速因子的Bayes估计

基于对数正态分布形式以及分布对数标准差不变的条件,运用Bayes方法对对数正态分布加速寿命试验条件下的加速因子进行分析。首先基于全寿命试验数据和随机变量函数分布的理论推导出加速因子的先验分布;然后由Bayes公式结合少量的现场截尾试验数据,得出加速因子的Bayes估计模型;最后给出实例进行说明。     

雷达目标回波信号的混沌、多重分形分析与识别

本文旨在将混沌、多重分形的理论和方法引入雷达信号处理，从混沌、分形动力学角度来揭示和刻划复杂目标散射机理，为进行有效信号处理和可靠目标识别寻找新的理论和技术实现方法。文中统计了五种飞机目标回波信号的Ｌｙａｐｕｎｏｖ指数分布情况，并计算了其多重分形维数，然后在此基础上，进行了目标识别的实验，获得了较高识别率。本文的研究表明，混沌、多重分形理论在目标特性及识别的研究中具有良好的应用前景。     

基于灰色时序的完整性规范技术

计算机系统的完整性安全策略模型与规范问题，是计算机安全研究中最重要的课题之一。已有的研究结果离实际应用还相差太远，例如Ｃｌａｒｋ－Ｗｉｌｓｏｎ完整性模型只是提出了一个框架。本文呈现了我们构造的形式化灰色时序安全策略规范语言（ＧＴＳＬ）。ＧＴＳＬ的理论基础是灰色系统理论和时序规范语言ＬＯ－ＴＯＳ理论。由于它在完整性规范能力、完整性验证过程的构造与表示、责任分离合理性测试等一系列技术方面的完善与创新，使得ＧＴＳＬ成为真正能够实际使用的完整性安全策略规范语言。     

Alpha 工作站仿真一体化环境交互系统设计

交互系统是一体化建模仿真环境中的一个重要环节,主要解决人机关系,使用户可以方便地与仿真机作高速通讯,对仿真运行进行实时监控。本文在简要介绍整个系统概况的基础上,对交互系统的总体设计、命令分析与处理、功能实现等几个方面展开了讨论。此外,还简单介绍了交互界面的设计和实现情况     

Nonperiodic preventive maintenance for repairable systems

As a complex system with multiple components usually deteriorates with age, preventive maintenance (PM) is often performed to keep the system functioning in a good state to prolong its effective age. In this study, a nonhomogeneous Poisson process with a power law failure intensity is used to describe the deterioration of a repairable system, and the optimal nonperiodic PM schedule can be determined to minimize the expected total cost per unit time. However, since the determination of such optimal PM policies may involve numerous uncertainties, which typically make the analyses difficult to perform because of the scarcity of data, a Bayesian decision model, which utilizes all available information effectively, is also proposed for determining the optimal PM strategies. A numerical example with a real failure data set is used to illustrate the effectiveness of the proposed approach. The results show that the optimal schedules derived by Bayesian approach are relatively more conservative than that for non‐Bayesian approach because of the uncertainty of the intensity function, and if the intensity function are updated using the collected data set, which indicates more severe deterioration than the prior belief, replacing the entire system instead of frequent PM activities before serious deterioration is suggested. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

基于工作流的GIS服务动态聚合方法、技术体系和参考模型研究

基于GIS服务的特点和动态服务聚合的应用实际,提出了一种基于工作流的GIS服务动态聚合实现方法,该方法通过引入服务群的概念,有效适应了GIS服务的动态变化性;提出了基于工作流的GIS服务聚合技术体系,界定了GIS服务聚合的研究内容和层次关系,为GIS服务动态聚合关键技术的研究提供了总体框架和顶层指导;参考工作流的研究成果,提出了动态服务聚合参考模型DSCRM,为开发聚合服务支撵平台以及在此基础上构造特定的服务聚合应用提供了可参考的计算模型.给出了一个GIS服务聚合应用实例来说明工作的可行性和有效性.     

Dynamic server assignment policies for assembly‐type queues with flexible servers

We seek dynamic server assignment policies in finite‐capacity queueing systems with flexible and collaborative servers, which involve an assembly and/or a disassembly operation. The objective is to maximize the steady‐state throughput. We completely characterize the optimal policy for a Markovian system with two servers, two feeder stations, and instantaneous assembly and disassembly operations. This optimal policy allocates one server per station unless one of the stations is blocked, in which case both servers work at the unblocked station. For Markovian systems with three stations and instantaneous assembly and/or disassembly operations, we consider similar policies that move a server away from his/her “primary” station only when that station is blocked or starving. We determine the optimal assignment of each server whose primary station is blocked or starving in systems with three stations and zero buffers, by formulating the problem as a Markov decision process. Using this optimal assignment, we develop heuristic policies for systems with three or more stations and positive buffers, and show by means of a numerical study that these policies provide near‐optimal throughput. Furthermore, our numerical study shows that these policies developed for assembly‐type systems also work well in tandem systems. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

尾座式电动飞机复合材料机翼结构优化设计

以复杂地形地区物资快速投送平台设计为背景,开展尾座式电动飞机复合材料机翼设计研究。对机翼结构载荷进行分析,对机翼结构构件布置和铺层进行设计,形成复合材料机翼结构设计方案。建立复合材料机翼结构有限元模型,开展典型工况条件下的静力分析,得到机翼结构变形、应力和Tsai-Wu失效因子分布。采用分步优化策略,以机翼结构铺层厚度和铺层角度为设计变量,开展机翼结构质量优化计算,优化结果表明,优化后的机翼结构在满足强度和刚度要求下质量减轻约47.77%,可为尾座式电动飞机结构设计提供重要参考。     

顾及噪声影响的GNSS高程序列预测Prophet方法

全球导航卫星系统(global navigation satellite system, GNSS)高程时间序列具有非平稳、非线性、含噪声等特点,在深入研究Prophet预测模型的基础上,针对Prophet预测模型对于趋势信号和周期信号有良好预测效果这一特性,提出一种引入经验模态分解(empirical mode decomposition, EMD)的“降噪—分解—预测”组合GNSS高程时间序列预测方法。该方法先将原始时间序列进行EMD降噪,再对降噪后的序列进行分解预测,最后重构各分量预测信号为最终预测序列。通过对实测高程数据进行研究,实验结果表明：降噪后信号的平均信噪比为10.30dB,能量百分比平均为88.75%;利用所构建的短期预测方法,GNSS高程时间序列预测结果的均方根误差分别平均提升26.41%和14.88%;平均百分比误差分别平均提升18.92%和7.91%,验证了组合预测方法的有效性及实用性。