人工智能技术在决策支持系统中的应用

首先分析了决策支持系统(DSS)和专家系统(ES)的局限及两者的区别,然后提出了专家支持系统(ESS)的概念,并详细阐述了ESS的系统结构。     

某型引信压电陶瓷加速老化试验

压电陶瓷作为压电引信的关键元件,其贮存可靠性至关重要。为研究贮存对压电陶瓷性能变化的影响,进行了历时176天的某型引信用压电陶瓷加速老化试验。根据试验结果研究了陶瓷的压电参数随试验条件和老化时间变化的规律,探索了压电陶瓷的贮存可靠性和可靠贮存寿命。     

一种基于地表类型的地杂波快速仿真方法

地杂波仿真技术对机载雷达的设计与研制有着重要影响.针对机载雷达地杂波仿真技术开展研究,提出了一种基于地表类型的地杂波快速仿真方法.该方法以数字地图和载机航线为两个重要输入,采用雷达波束照射区域的数字地图为有效先验地理环境信息进行仿真,提高了杂波仿真的逼真度;同时针对传统仿真方法中计算量较大的问题,优化了散射单元中天线功...     

武器装备体系贡献率研究现状分析

武器装备体系贡献率是全面、科学地评估武器装备在体系中发挥作用情况的指标,是目前装备论证领域的研究热点.收集了近年来国内在该领域的研究成果和国外与之相关的研究成果,通过对武器装备体系贡献率的概念内涵、属性特征、评估指标和方法的总结归纳,分析了研究中亟待解决的问题和面临的挑战,为武器装备体系贡献率的研究工作提供参考借鉴.     

A Fuzzy Cluster and Retinex Theory-based Variation Model for Inhomogenous Image Segmentation

A variational inhomogeneous image segmentation model based on fuzzy membership functions and Retinex theory is proposed by introducing the fuzzy membership function.The existence of the solution of the proposed model is proved theoretically.A valid algorithm is designed to make numerical solution of the model under the framework of alternating minimization.The last experimental results show that the model can make segmentation of the real image with intensity inhomogeneity effectively.     

基于混合属性无监督聚类的作战目标分群

作战体系中目标分群在信息化战争中具有重要意义,能有效提升战场态势分析的输出,提高指挥人员的决策效率和质量.利用复杂网络基本特征量对网络进行定量描述,针对作战目标个体属性数据的多源性和异质性,分数值型属性和分类属性构建了有效的数据预处理算法,设计出融合作战目标的个体属性以及网络邻接关系的相似度模型和基于K-prototy...     

基于深浅知识的混合诊断模型

针对大型电子设备的诊断问题,提出一种基于深、浅知识的混合诊断模型,给出了诊断知识的组织模型,论述了混合诊断模型的建立,并给出了完整的推理控制算法。基于这种模型,研制了ＰＬＴＳ平台罗经自动测试系统．     

时序脉冲发生器工程实现方法及特点

本文介绍了采用触发器、移位寄存器、计数器与译码器、脉冲分配器、接口电路与译码器等实现时序脉冲发生器的方法及特点,具有广泛的实用性及通用性。     

Visual SLAM in dynamic environments based on object detection

A great number of visual simultaneous localization and mapping (VSLAM) systems need to assume static features in the environment. However, moving objects can vastly impair the performance of a VSLAM system which relies on the static-world assumption. To cope with this challenging topic, a real-time and robust VSLAM system based on ORB-SLAM2 for dynamic environments was proposed. To reduce the influence of dynamic content, we incorporate the deep-learning-based object detection method in the visual odometry, then the dynamic object probability model is added to raise the efficiency of object detection deep neural network and enhance the real-time performance of our system. Experiment with both on the TUM and KITTI benchmark dataset, as well as in a real-world environment, the results clarify that our method can significantly reduce the tracking error or drift, enhance the robustness, accuracy and stability of the VSLAM system in dynamic scenes.     

An interface shear damage model of chromium coating/steel substrate under thermal erosion load

The Cr-plated coating inside a gun barrel can effectively improve the barrel's erosion resistance and thus increase the service life.However,due to the cyclic thermal load caused by high-temperature gun-powder,micro-element damage tends to occur within the Cr coating/steel substrate interface,leading to a gradual deterioration in macro-mechanical properties for the material in the related region.In order to mimic this cyclic thermal load and,thereby,study the thermal erosion behavior of the Cr coating on the barrel's inner wall,a laser emitter is utilized in the current study.With the help of in-situ tensile test and finite element simulation results,a shear stress distribution law of the Cr coating/steel substrate and a change law of the interface ultimate shear strength are identified.Studies have shown that the Cr coating/steel substrate interface's ultimate shear strength has a significant weakening effect due to increasing temperature.In this study,the interfacial ultimate shear strength decreases from 2.57 GPa(no erosion)to 1.02 GPa(laser power is 160 W).The data from this experiment is employed to establish a Cr coating/steel substrate interface shear damage model.And this model is used to predict the flaking process of Cr coating by finite element method.The simulation results show that the increase of coating crack spacing and coating thickness will increase the service life of gun barrel.