基于高性能DSP实现的多普勒波束锐化实时成像处理

在简要介绍多普勒波束锐化 (DBS)成像原理和TMS32 0C6 2 0 1芯片特点的基础上 ,着重讨论了DBS成像算法基于DSP的实现。在实现过程中充分考虑了通用DSP完成非线性运算、除法运算耗时大以及存贮I/O操作耗时不能忽略等特点。最后分析了算法性能并给出了实验结果     

建设具有我军特色的数字化部队势在必行 势必能行

数字化部队是现代信息技术运用于军事领域的产物,是信息时代陆军的发展趋势和提高陆军战斗力的必然选择。本文分析了我陆军建设数字化部队的必要性、紧迫性与可行性;指出建设数字化部队必须实现武器装备与编制编成、作战理论与教育训练的一体化发展,并针对我陆军数字化部队建设的规模与进度、建设重点以及基本建设思路等问题提出了建设性意见。     

信息战建模的分析与探讨

通过对信息战建模的分析与总结,指出了一个完善的信息战建模方法应具备的基本功能;给出了这种建模方法的结构流图,并分析了结构流图的构成.该方法建立的信息战模型,能有效地识别信息战的效果,对信息战的理论发展和具体实施都有较重要的指导作用.     

废气涡轮增压柴油机动态模型研究

研究了废气涡轮增压柴油机作为转速控制对象时的动态数学模型 ,并在此基础上建立了数字式电子调速器仿真系统 .     

正弦波型直流无刷电动机位置伺服系统的变结构控制

在分析正弦波型直流无刷电动机数学模型的基础上,采用比例等速变速控制策略(PCV)设计控制器,应用于正弦波型直流无刷电动机位置伺服系统.仿真结果表明:与传统PI控制器比较,PCV控制策略可以明显改善系统的品质,并增强系统的鲁棒性.     

论开放对改革的历史意义和现实作用

中国的改革始终并越来越置于开放的国际大环境和背景下 ,围绕开放来进行 ,改革的历史取向、实际步骤等方方面面都自觉不自觉地受到开放的很大影响 :开放引致改革、开放促进改革、开放制约改革、开放本身就是改革、开放保障改革。因此 ,中国的改革是一种典型的开放式改革 ,中国的“改革开放”也可以或越来越应当是“开放改革” ;就改革与开放的相互关系、作用及对整个社会发展的作用和意义而言 ,开放重于改革。     

飞船再入舱三维化学非平衡流数值模拟

对飞船再入舱高超声速化学非平衡三维流场进行数值模拟。控制方程为含化学反应源项的全Ｎａｖｉｅｒ－ Ｓｔｏｋｅｓ 方程组, 化学模型为高温空气的七组元模型, 其组元成分为Ｎ２ 、Ｏ２、ＮＯ、Ｎ、Ｏ、ＮＯ＋ 、ｅ－ 。差分格式采用张涵信院士提出的ＮＮＤ激波捕捉格式并用全耦合方法处理流动方程及化学反应方程, 对化学反应源项采用全隐式处理, 运用时间预处理技术以加快收敛。同时, 也对完全气体模型进行计算, 以分析真实气体效应。与实验数据对比, 说明本文结果是可信的。     

空空导弹三维实时动态数字仿真

主要论述了某型空空导弹实现３维实时动态数字仿真的思路和方法,首先建立３维空战模型,然后通过一定的计算方法和编程技巧实现了数字仿真的实时性。在数字仿真实时性的基础上,实现了导弹攻击目标过程的３维动态图形显示。     

Analysis of decentralized multi‐product pull systems with lost sales

We study a pull‐type, flexible, multi‐product, and multi‐stage production/inventory system with decentralized two‐card kanban control policies. Each stage involves a processor and two buffers with finite target levels. Production stages, arranged in series, can process several product types one at a time. Transportation of semi‐finished parts from one stage to another is performed in fixed lot sizes. The exact analysis is mathematically intractable even for smaller systems. We present a robust approximation algorithm to model two‐card kanban systems with batch transfers under arbitrary complexity. The algorithm uses phase‐type modeling to find effective processing times and busy period analysis to identify delays among product types in resource contention. Our algorithm reduces the effort required for estimating performance measures by a considerable margin and resolves the state–space explosion problem of analytical approaches. Using this analytical tool, we present new findings for a better understanding of some tactical and operational issues. We show that flow of material in small procurement sizes smoothes flow of information within the system, but also necessitates more frequent shipments between stages, raising the risk of late delivery. Balancing the risk of information delays vis‐à‐vis shipment delays is critical for the success of two‐card kanban systems. Although product variety causes time wasted in setup operations, it also facilitates relatively short production cycles enabling processors to switch from one product type to another more rapidly. The latter point is crucial especially in high‐demand environments. Increasing production line size prevents quick response to customer demand, but it may improve system performance if the vendor lead‐time is long or subject to high variation. Finally, variability in transportation and processing times causes the most damage if it arises at stages closer to the customer. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Managing components for assemble‐to‐order products with lead‐time‐dependent pricing: The full‐shipment model

We study a component inventory planning problem in an assemble‐to‐order environment faced by many contract manufacturers in which both quick delivery and efficient management of component inventory are crucial for the manufacturers to achieve profitability in a highly competitive market. Extending a recent study in a similar problem setting by the same authors, we analyze an optimization model for determining the optimal component stocking decision for a contract manufacturer facing an uncertain future demand, where product price depends on the delivery times. In contrast to our earlier work, this paper considers the situation where the contract manufacturer needs to deliver the full order quantity in one single shipment. This delivery requirement is appropriate for many industries, such as the garment and toy industries, where the economies of scale in transportation is essential. We develop efficient solution procedures for solving this optimization problem. We use our model results to illustrate how the different model parameters affect the optimal solution. We also compare the results under this full‐shipment model with those from our earlier work that allows for multiple partial shipments. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007