目标自动跟踪与信息处理综合系统的研究与实现

根据将目标自动跟踪与信息处理综合的思想,在目标自动跟踪与信息处理综合的实现方面作了大量工作,并进行了实验.实验结果表明,只有在自动跟踪系统中综合目标信息处理,火控系统性能才能有质的提高.同时,数字信号处理(DSP)技术、自适应滤波算法的应用,使得系统设计能够基本达到实际应用的阶段.     

轴对称静电场不等距多重网格法的研究

研究了不等距多重网格法,可用于区域形状任意和有内电极的实际电子光学系统轴对称电场的计算,特别是对于求解区域大、部分区域电场精度要求高的场合,较好地解决了计算精度与划分网格点数之间的矛盾,可广泛应用于分析设计静电聚焦像管的电子光学系统,以及摄像管电子枪的发射系统等.     

电流变液的光学特性及其应用研究

电流变液是一种极具发展前景的新型智能材料．文中介绍了目前国内外电流变液的光学特性研究动态,分析了其机理,并展望了应用前景．力求能准确反映电流变液光学特性研究的发展现状,旨在促进电流变液在光学领域的研究．     

热得快火灾危险性分析及火因鉴别方法的研究

本文以热得快火灾模拟试验为基础,结合其结构特点和实际火灾案例,分析了热得快火灾的形成原因,着重对如何鉴别热得快火灾残留物进行研究,归纳总结出根据热得快火灾残留物进行火灾原因鉴别的判定依据,建立了热得快火灾原因的鉴别方法,并提出了热得快火灾的预防措施。     

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。     

舰炮身管的模态分析与多目标优化

舰炮的炮口扰动是影响舰炮射击精度的重要因素。为了减少舰炮的炮口扰动,优化身管结构,建立了柔性身管的ABAQUS有限元模型,将有限元模型的模态计算值与模态试验值进行比较,发现建立的柔性身管有限元模型是合理可行的。提出了混沌量子粒子群算法与动力学联合优化的方法,进行身管和炮口的多目标优化。优化结果表明,优化后炮口中心的线速度、角速度和角位移与优化前相比显著减小,身管质量有所降低,结构更加合理,该优化方法有效可行,为下一步全炮总体优化设计提供了一定的借鉴。     

Stochastic production capacity: A bane or a boon for quick response supply chains?

The quick response (QR) system that can cope with demand volatility by shortening lead time has been well studied in the literature. Much of the existing literature assumes implicitly or explicitly that the manufacturers under QR can always meet the demand because the production capacity is always sufficient. However, when the order comes with a short lead time under QR, availability of the manufacturer's production capacity is not guaranteed. This motivates us to explore QR in supply chains with stochastic production capacity. Specifically, we study QR in a two-echelon supply chain with Bayesian demand information updating. We consider the situation where the manufacturer's production capacity under QR is uncertain. We first explore how stochastic production capacity affects supply chain decisions and QR implementation. We then incorporate the manufacturer's ability to expand capacity into the model. We explore how the manufacturer determines the optimal capacity expansion decision, and the value of such an ability to the supply chain and its agents. Finally, we extend the model to the two-stage two-ordering case and derive the optimal ordering policy by dynamic programming. We compare the single-ordering and two-ordering cases to generate additional managerial insights about how ordering flexibility affects QR when production capacity is stochastic. We also explore the transparent supply chain and find that our main results still hold.     

Purchase and retrieval competition for seasonal produce

We study the competition problem of purchase and multiretrieval of perishable seasonal produce, where wholesalers purchase and stock their products in the first period, and then retrieve and sell them in subsequent periods. We first consider the duopoly case and assume that the prices are exogenous and fluctuate. In each period, after the price realization, the wholesalers retrieve some stock from their warehouses to satisfy their demands. One wholesaler's unsatisfied customers can switch to another and be satisfied by its left retrieved products. Any unsold retrieved stock has no salvage value and any unsatisfied demand is lost. The unretrieved stock is carried to the next period at a perishable rate. The wholesalers compete for the substitute demand by determining their own purchase and retrieval quantities. We show the existence and uniqueness of a pure-strategy Nash equilibrium, and that the Nash equilibrium strategy has the simple “sell-down-to” structure. We also consider the general N-person game and show the existence of the Nash equilibrium, and characterize the structure of the equilibrium strategy for the symmetric case. In addition, we consider the case with endogenous prices, and show that the problem reduces to a repeated newsvendor game with price and inventory competition. We derive the conditions under which a unique Nash equilibrium exists and characterize the equilibrium strategy. Finally, we conduct numerical studies to examine the impacts of the model parameters on the equilibrium outcomes and to generate managerial insights.     

A new heuristic solution method in resource-constrained project scheduling

A new heuristic method is presented for the resolution of multiresource constrained conflicts in project scheduling. In attempting to find a minimal makespan solution, the algorithm employs a simple procedure to generate a feasible solution with no backtracking. A postanalysis phase then applies a hill-climbing search. The solution method is different from existing heuristic methods in that it repairs resource conflicts rather than constructs detailed schedules by dispatching activities. Resource-violating sets of activities are identified which must be prevented from concurrent execution because this would violate resource constraints. Repairs are made by imposing an arc to sequence two activities in such a resource violating set. Computational results are compared with those of existing heuristics for the minimal makespan problem.     

飞行器碰撞概率计算的一般方法

研究了飞行器碰撞概率计算的一般方法,这种方法通过飞行器和空间物体各自的状态矢量、位置误差协方差矩阵以及形状尺寸来计算飞行器和空间物体的碰撞概率。从位置误差协方差矩阵的一般形式出发,推导了飞行器的碰撞概率计算公式。在推导过程中,将飞行器的相对运动速度看作是方向不变的矢量,从而可以消去平行于相对速度的一维,将三维的概率计算问题转化为和相对速度垂直的相遇平面内的二维概率问题。针对二维概率问题分别研究了三种碰撞概率的计算方法,并比较了它们各自的优缺点。最后通过数值算例验证了三种方法各自的特点及正确性。