福建省经济增长的效率评价

为了定量地评价经济运行质量,应用数据包络分析(DEA)的理论和方法,对福建省改革开放以来经济增长效率进行评价,得到一些对促进经济增长有益的结论。     

面向武器装备系列研制的灵境仿真研究

首先阐明面向武器装备系列研制的灵境仿真研究的重要性及其学科归属.根据实施约束条件,将本项研究定位于应用基础研究.基于90年代的计算技术基础设施,将VR仿真开发系统的技术目标设定为自学习、自优化、目标驱动的自产生式建模与仿真环境.在1995年已实现的人工智能嵌入面向对象编程AI+OOP形式化体系中,通过知识封装赋予对象以知识禀赋和似人的精神属性.把AIOOM开发平台提升到面向智能体层次.文章给出Agent设计及实现的形式化描述,并通过二个实例说明该系统的可行性和优势.最后,展望系统发展方向并指出待努力解决和问题.     

DIS演练过程的记录与重演

目前,分布式交互仿真(DIS)已经成为武器对抗、武器性能测试的重要手段。在DIS仿真过程中,过程数据的记录与事后的重演对演练过程的再现起着决定性的作用。本文就DIS演练过程的记录与事后重演的技术进行了讨论。     

基于DVENET的虚拟炮瞄雷达的研究与实现

在分析炮瞄雷达的物理特性和ＤＩＳ协议提供的相关支持的基础上,对ＤＩＳ协议进行了扩充,同时建立了炮瞄雷达仿真所需的相关数学模型,并针对分布式系统下存在的雷达数据一致性问题提出了一种解决方法。     

Evaluating Efficiency of Decision Making Units with Network Structures

This paper considers the problem of evaluating efficiency of Decision Making Units （DMUs） with network structures of divisions by the Data Envelopment Analysis （DEA） model. All divisions in the network are under a decentralized authority organiza- tion. That is, each division in a decision making unit has its own authority to adjust its input and output. By incorporating the division operations in the DEA model, we discuss the sufficient and necessary conditions for a DMU to be network efficient in series structure and general structure respectively.     

基于遗传模糊系统的兵棋推演关键点推理方法

近年来,基于人工智能技术的自动化作战推演越发受到重视,但是由于有效地采集作战推演数据难度较大,许多依赖数据学习的人工智能技术效果不佳。在结合专家知识和作战推演数据的基础上研究作战推演中的人工智能技术,是一种可行的替代方案。为此,立足兵棋推演设计了关键点推理遗传模糊系统(genetic fuzzy system, GFS)框架,有效整合了对兵棋专家知识的建模和对兵棋复盘数据的学习,从而提高了关键点的推理质量。进一步以安全点为例,构建了安全点推理GFS,在初始化模糊系统规则库的基础上,通过合理设计遗传算法中的参数编码、适应度函数、遗传算子等,实现了安全点推理模糊系统的遗传调优算法。最后,通过实验仿真展示了所提方法的可行性和实用性。     

集中式多传感器无极联合概率数据互联算法

针对杂波环境下非线性系统中的多传感器多目标跟踪问题,提出了一种集中式多传感器无极联合概率数据互联算法。该算法中,首先采用无极卡尔曼滤波器实现非线性系统中状态分布的传递,在此基础上应用联合概率数据的思想将单个传感器的量测点迹与航迹互联,最后推广至顺序结构。由于无极卡尔曼滤波器可以获得比扩展卡尔曼滤波算法更高精度的近似,因此能减少非线性模型线性化引起的近似误差对联合概率数据互联概率及状态估计的影响,与基于扩展卡尔曼滤波器思想的顺序多传感器联合概率数据互联算法相比,该算法具有更高的跟踪精度和稳定性,最后通过仿真结果验证了该算法的优越性。     

New computing method of weighted coefficients for tracking a maneuvering target using PDAF in the presence of clutter

To avoid or reduce the influence of unpredictable motion mode on data association, a new computing method of weighted coefficients of measurements for PDAF is presented in which it is assumed that the current turn rate of a maneuvering target changes within a limited range and its turn may be in arbitrary direction during data association. Thus, the predicted center for computing the weighted coefficients is a curved surface in 3-D space, which differs from the predicted center for setting up a validation gate, namely, a point in 3-D space. The distance between a measurement and the curved surface is used to compute its weighted coefficient. To reduce the computational complexity of weighted coefficients, the formulas for computing the maneuvering direction angle and turn rate corresponding to a measurement are presented. Simulation results show the proposed method reduces the percentage of lost tracks and improves the state estimation accuracy in tracking a maneuvering target using PDAF in the presence of clutter.     

Design and implementation of 1 GHz high speed data acquisition system

With the development of current electronic technology, numerous high-speed data acquisition systems provide a variety of potential benefits. This article describes a high-speed data acquisition system which consists of ECL logic and TTL logic devices, samples and stores data with a 1 GHz clock. This system is accomplished easily and works stably. A performance test of this system has been undertaken and the results show that the effective number of bits (ENOB) is more than 6.5 bits.     

动态数据驱动应用系统的概念研究

动态数据驱动应用系统(DDDAS)是一种功能强大的仿真应用的全新模式,是系统仿真发展的新趋势,是实现现代战争中将信息优势转换为决策优势的有效途径.由传统仿真的不足引入DDDAS概念,然后对DDDAS概念进行了较为深入的分析与研究,从仿真应用、算法、系统软件支撑三个方面详细探讨了实现DDDAS的关键技术.最后,构建了基于DDDAS的决策支持系统概念框架,并指出了DDDAS的应用前景.