计算机辅助动画系统 (GKDCAS)

GKDCAS是一个基于微型计算机环境,使用C语言设计的一个实用动画制作系统。本文阐述了GKDCAS的软件结构与设计方法,介绍了它的功能,并给出了一个用该系统制作动画的实例。     

一种简捷实用的汉明码法

介绍一种快速、简捷的汉明码法。该法减少了传统汉明码的设计复杂性和工作量,并缩短了校验时间;特别是对突发性错误有很强的检错、纠错能力。它适用于军工装备有关数字快速反应系统。     

知识库推理和维护系统 (KBIMS)

赋予知识库自动推理和维护功能,从而使知识库有效和实用,是知识库面临的关键问题。本文提出了一程基于缺言推理的知识库自动推理和维护方法,并介绍了根据此方法,在VAX—Ⅰ/780上使用GKD—Prolog 作为工具实现的一个知识库推理和维护系统。     

知识库调试工具的技术原理与设计思想

知识库调试工具旨在解决因知识不完全和噪音等因素而引起的知识库正确性与有效性问题。本文通过知识库建造工具GKD-KBST 中知识库调试工具KBDT 实现方案的讨论,论述知识库调试工具的技术原理与设计思想。     

某型舰炮故障诊断知识库的建立

本文运用层次模块化构成模型及故障诊断模型的建造方法,提出了建立某型舰炮故障诊断知识库的方法,对构造诊断知识库的六种规则举例予以了说明.     

通用电子系统故障诊断专家系统的研究

本文采用了一种符合人类维修专家故障诊断思路的方法,即层次模块化故障诊断法,来建造通用电子系统故障诊断专家系统。在系统建造中采用了框架和产生式复合知识表达形式表示系统诊断知识,采用了正反向混合推理、不精确推理及层次模块化诊断推理机制,并予具体实现。     

有排气弹丸底部阻力的估算方法

综合了国内外有关排气温度、分子量和来流马赫数影响底部阻力的实验和理论成果,采用人工神经网络方法处理了实验数据,提供出一个有排气弹丸底部阻力的工程估算方法。     

关于超音速弹丸底部流动的若干问题

本文扼要地介绍了底部流动研究现状、新型收缩尾部的特点以及底部排气和外部燃烧等减阻技术。并在比较和分析的基础上陈述了笔者对若干问题的看法。     

舰炮指挥仪雷达信号的计算机模拟

本文讨论了以计算机为基础的指挥仪雷达数据模拟,将模拟过程分解为离线模拟和实时模拟两部分,解决了复杂的模拟计算和实时模拟要求的快速性之间的矛盾。并对数据压缩和数据恢复进行了讨论,为这种分解提供了必要理论分析基础。本文还提出了一种新的目标航路生成方法,可以容易地生成比较复杂的目标航路。     

Performance evaluation of a production/inventory system with periodic review and endogenous lead times

This paper considers a discrete time, single item production/inventory system with random period demands. Inventory levels are reviewed periodically and managed using a base‐stock policy. Replenishment orders are placed with the production system which is capacitated in the sense that there is a single server that sequentially processes the items one at a time with stochastic unit processing times. In this setting the variability in demand determines the arrival pattern of production orders at the queue, influencing supply lead times. In addition, the inventory behavior is impacted by the correlation between demand and lead times: a large demand size corresponds to a long lead time, depleting the inventory longer. The contribution of this paper is threefold. First, we present an exact procedure based on matrix‐analytic techniques for computing the replenishment lead time distribution given an arbitrary discrete demand distribution. Second, we numerically characterize the distribution of inventory levels, and various other performance measures such as fill rate, base‐stock levels and optimal safety stocks, taking the correlation between demand and lead times into account. Third, we develop an algorithm to fit the first two moments of the demand and service time distribution to a discrete phase‐type distribution with a minimal number of phases. This provides a practical tool to analyze the effect of demand variability, as measured by its coefficient of variation, on system performance. We also show that our model is more appropriate than some existing models of capacitated systems in discrete time. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007