创新军民融合式发展路子 提升国防动员建设效益

推动国防动员领域的军民融合,需进一步健全军地领导体系,奠定融合的组织基础;不断拓宽民用搭载渠道,夯实动员潜力基础;加快整合军地各种资源,提高快速动员能力;加速推动动员融入经济政治,夯实融合的社会基础。     

嵌入式仿真在防空兵模拟训练系统中的应用

现代战争中,高技术装备的广泛运用对防空兵训练产生了重大的影响。传统的模拟设备不能对训练任务进行全时空的覆盖,且真实感和训练效果都不令人十分满意,已不能完全满足部队的需要。该文引入的嵌入式仿真是将虚拟仿真和实况仿真结合以提供最真实的训练环境。该文首先阐述了嵌入式仿真的概念和特点,重点研究了嵌入式仿真系统的体系结构,以及在防空兵模拟训练系统中应用的方法和关键技术,最后简要介绍了嵌入式仿真的发展趋势。     

基于BP网络的某型火控雷达角跟踪系统故障诊断

在介绍BP网络基本结构原理及其学习算法的基础上,结合某型火控雷达的特点,以角跟踪系统作为被诊断对象,运用BP神经网络的数学模型及学习算法对其进行故障诊断。诊断结果表明BP网络能够准确地诊断出样本的故障,提高了某型火控雷达角跟踪系统的一线维修效率,为提高火控雷达故障诊断效率提供了一种新的途径。     

“学科-专业-实践”三维结构下的现代教育技术课程教学模式研究

现代教育技术课程是一门理论与实验并重的课程。针对目前课程实验教学中存在的问题,我们进行了“学科一专业一实践”三维结构下的现代教育技术课程实验教学改革,从目标、内容、策略、评价等4个方面进行了系统设计,并对实验教学改革的结果进行了简要的分析。     

基于小波神经网络的货运量预测

选取我国1979—2011年国民生产总值、能源生产总值、进出口贸易额、社会消费品零售总额和固定资产投资总额5项指标作为货运总量的主要影响因素,以货运总量为输出,建立了基于Morlet小波函数的小波神经网络预测模型。该模型能够揭示货运量与相关变量之间的非线性映射关系,经实例分析得到了较满意的结果,并通过与实际货运量和BP神经网络预测结果的对比,证明了小波神经网络在货运量预测方面应用的可行性。     

基于贝叶斯原理的放大转发中继联合信道估计

在贝叶斯原理的框架下,依据放大转发中继联合信道等价于两段瑞利信道相叠加的特征,将其概率密度分布这一先验知识与接收端的训练序列相结合,得到了最小均方和最大后验两种估计方法。由于两种方法的准确贝叶斯CRB难以求解获得闭合表达式,从最大熵原理出发,结合复高斯分布性质,推导了MLE准则下的CRB相对应的近似贝叶斯CRB,以衡量不同方法的估计精度。仿真结果表明相比于原有的MLE方法,最大后验估计方法在低信噪比下性能改善明显。     

Economic ordering decisions with market choice flexibility

Standard approaches to classical inventory control problems treat satisfying a predefined demand level as a constraint. In many practical contexts, however, total demand is comprised of separate demands from different markets or customers. It is not always clear that constraining a producer to satisfy all markets is an optimal approach. Since the inventory‐related cost of an item depends on total demand volume, no clear method exists for determining a market's profitability a priori, based simply on per unit revenue and cost. Moreover, capacity constraints often limit a producer's ability to meet all demands. This paper presents models to address economic ordering decisions when a producer can choose whether to satisfy multiple markets. These models result in a set of nonlinear binary integer programming problems that, in the uncapacitated case, lend themselves to efficient solution due to their special structure. The capacitated versions can be cast as nonlinear knapsack problems, for which we propose a heuristic solution approach that is asymptotically optimal in the number of markets. The models generalize the classical EOQ and EPQ problems and lead to interesting optimization problems with intuitively appealing solution properties and interesting implications for inventory and pricing management. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2004.     

FPGA在程控数字交换机中的应用研究

针对现有程控数字交换机大多采用传统搭积木式(即用器件搭成电路板)的设计方法,提出用现场可编程门阵列(FPGA)技术设计的新思路,并通过VHDL语言设计给出了仿真结果,结果表明,用FPGA设计的数字程控交换模块具有硬件结构简单、性能良好、功能易于升级等优点.     

Bidirectional parallel multi-branch convolution feature pyramid network for target detection in aerial images of swarm UAVs

In this paper, based on a bidirectional parallel multi-branch feature pyramid network (BPMFPN), a novel one-stage object detector called BPMFPN Det is proposed for real-time detection of ground multi-scale targets by swarm unmanned aerial vehicles (UAVs). First, the bidirectional parallel multi-branch convolution modules are used to construct the feature pyramid to enhance the feature expression abilities of different scale feature layers. Next, the feature pyramid is integrated into the single-stage object detection framework to ensure real-time performance. In order to validate the effectiveness of the proposed algorithm, experiments are conducted on four datasets. For the PASCAL VOC dataset, the proposed algorithm achieves the mean average precision (mAP) of 85.4 on the VOC 2007 test set. With regard to the detection in optical remote sensing (DIOR) dataset, the proposed algorithm achieves 73.9 mAP. For vehicle detection in aerial imagery (VEDAI) dataset, the detection accuracy of small land vehicle (slv) targets reaches 97.4 mAP. For unmanned aerial vehicle detection and tracking (UAVDT) dataset, the proposed BPMFPN Det achieves the mAP of 48.75. Compared with the previous state-of-the-art methods, the results obtained by the proposed algorithm are more competitive. The experimental results demonstrate that the proposed algorithm can effectively solve the problem of real-time detection of ground multi-scale targets in aerial images of swarm UAVs.     

基于构件的软件复用技术在防化软件中的应用

软件复用是在软件开发过程中避免重复劳动的解决方案。通过构件的形式来实现软件复用,可以提高开发的效率和质量。以核侦察处理模块的实现和集成为例,介绍了基于构件的复用技术在目前信息化建设中的使用手段和方法。