自适应滤波在有源消声中的应用

从分析有源消声的难点出发 ,综述了自适应滤波算法在有源消声中的应用 ,给出了相应的实例 .对自适应滤波在有源消声中应用的未来发展趋势作了展望 .     

先验式秘密共享方案及实现

分析了传统的秘密共享算法的不足之处,提出了相应的优化方案,形成了先验式秘密共享方案,包括初始化、份额更新、份额恢复和秘密重构,实现了先验式秘密共享协议的各种算法,充分考虑了秘密分享的各个阶段可能遇到的问题,并分别给出了相应的解决方案.     

Testing or fault-finding for reliability growth: A missile destructive-test example

A new piece of equipment has been purchased in a lot of size m. Some of the items can be used in destructive testing before the item is put into use. Testing uncovers faults which can be removed from the remaining pieces of equipment in the lot. If t < m pieces of equipment are tested, then those that remain, m₁ = m − t, have reduced fault incidence and are more reliable than initially, but m₁ may be too small to be useful, or than is desirable. In this paper models are studied to address this question: given the lot size m, how to optimize by choice of t the effectiveness of the pieces of equipment remaining after the test. The models used are simplistic and illustrative; they can be straightforwardly improved. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 623–637, 1997     

产品网络化协同开发系统信息处理模型研究

产品网络协同开发系统信息处理模型是现代制造企业从事产品开发、提高企业核心竞争力的关键。在分析产品网络化协同开发系统现状的基础上,阐明了产品网络化协同开发系统的基本内涵及实现方法。提出了基于输入、输出、知识、关系、方法和时间约束六个方面组成的产品网络化协同开发系统的信息处理统一模型;建立了一个面向产品开发全过程协同的信息流模型,构建了产品网络化协同开发平台信息流模型的软件结构,为制造企业建立产品网络协同开发平台,实现产品开发过程的信息化、科学化和规范化进行了有益的工作。     

分布式虚拟环境中环境信息动态更新研究

环境信息动态更新是分布式虚拟环境的一个主要特点,如何使环境信息更新更活跃、更反应实际情况,一直是分布式虚拟环境研究的重点。在典型的分布式交互环境中,环境信息动态更新是基于协议数据单元(PDU),它不提供数据可靠性传输保证。如何保证分布式环境中各结点环境信息一致性,本文提出了一种信息校验和协议,它通过极少的信息传输就可保证各结点环境信息高度一致。文中定义了保证分布式环境信息动态一致性更新的协议数据单元,并在试验环境中证明了协议的可靠性。     

飞行器动力学环境预示技术应用研究

动力学环境试验技术已被广泛应用 ,但动力学环境预示技术还没有得到很好的重视和发展。讨论了几种动力学环境预示方法的特点 ,着重研究了统计能量分析 ( SEA)方法的原理及其应用 ,并以某型号发动机长尾喷管舱为例 ,具体给出其工程分析估计过程     

The impact of exponential smoothing forecasts on the bullwhip effect

An important phenomenon often observed in supply chain management, known as the bullwhip effect, implies that demand variability increases as one moves up the supply chain, i.e., as one moves away from customer demand. In this paper we quantify this effect for simple, two‐stage, supply chains consisting of a single retailer and a single manufacturer. We demonstrate that the use of an exponential smoothing forecast by the retailer can cause the bullwhip effect and contrast these results with the increase in variability due to the use of a moving average forecast. We consider two types of demand processes, a correlated demand process and a demand process with a linear trend. We then discuss several important managerial insights that can be drawn from this research. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 269–286, 2000     

Deterrence under nuclear asymmetry: THAAD and the prospects for missile defense on the Korean peninsula

The 2016 decision to deploy Terminal High Altitude Area Defense (THAAD) to South Korea has generated multitude of intensely politicized issues and has proved highly controversial. This has made it challenging to alleviate, let alone clarify, points of analytical and policy tensions. We instead disaggregate and revisit two fundamental questions. One is whether THAAD could really defend South Korea from North Korean missiles. We challenge the conventional “qualified optimism” by giving analytical primacy to three countermeasures available to defeat THAAD–use of decoys, tumbling and spiral motion, and outnumbering. These countermeasures are relatively inexpensive to create but exceedingly difficult to offset. Second, we assess the optimal way to ensure South Korean national security against North Korean missiles. By examining the balance of capability and issues of credibility/commitment, we show that the U.S. extended deterrence by punishment remains plentiful and sufficiently credible even without enhancing the current defense capability.     

采用随机几何工具的终端直通通信接入控制方法

针对现有具备终端直通（Device-to-Device, D2D）功能的蜂窝网络的干扰管理问题,提出一种新型的采用随机几何工具的D2D通信接入控制方法。利用随机过程理论以及随机几何工具建立模型分析邻近基站和D2D通信对蜂窝通信的影响,并推导蜂窝业务接入失败概率表达式。基于该表达式能够计算网络允许的最大D2D用户密度,辅助D2D通信接入控制实现干扰管理。仿真证明基于所提数值计算方法获得的估计结果与蒙特卡洛仿真结果相符,且通过合理限制D2D用户密度和D2D用户发射功率可满足指定的蜂窝业务接入失败概率要求。     

Optimal policies for stochastic clearing systems with time-dependent delay penalties

We study stochastic clearing systems with a discrete-time Markovian input process, and an output mechanism that intermittently and instantaneously clears the system partially or completely. The decision to clear the system depends on both quantities and delays of outstanding inputs. Clearing the system incurs a fixed cost, and outstanding inputs are charged a delay penalty, which is a general increasing function of the quantities and delays of individual inputs. By recording the quantities and delays of outstanding inputs in a sequence, we model the clearing system as a tree-structured Markov decision process over both a finite and infinite horizon. We show that the optimal clearing policies, under realistic conditions, are of the on-off type or the threshold type. Based on the characterization of the optimal policies, we develop efficient algorithms to compute parameters of the optimal policies for such complex clearing systems for the first time. We conduct a numerical analysis on the impact of the nonlinear delay penalty cost function, the comparison of the optimal policy and the classical hybrid policy (ie, quantity and age thresholds), and the impact of the state of the input process. Our experiments demonstrate that (a) the classical linear approximation of the cost function can lead to significant performance differences; (b) the classical hybrid policy may perform poorly (as compared to the optimal policies); and (c) the consideration of the state of the input process makes significant improvement in system performance.