提高师范生诗词鉴赏能力,加强诗歌教学设计

古典诗词的重要性决定了师范学院中文专业教育必须提高师范生古诗词的鉴赏能力,掌握古诗词鉴赏的基本方法:诵读法、以史证文法、比较异同法、诗眼分析法、情景扩展法和意境描述法。进而引导师范生将所学与所用结合起来,创造性地设计诗歌教学。     

模块化油料装备单元新型连接接头设计

模块化油料装备具有运用方式灵活、功能模块扩展能力强的优点,既能使油料装备的保障能力显著增强,又方便设计、制造、使用和维修,但各模块单元之间不易实现干式快速连接与分离。为实现油料装备模块单元快速连接、拆卸且无油料漏出,创新设计一种干式快速自封连接接头。该接头用于油料装备模块单元连接时,管路系统能自动接通;各模块单元分离时,管路系统能自动封闭,使各模块单元或组合体形成一个密封体,始终无漏油现象。该干式快速自封连接接头用于模块单元连接或分离,具有简便、快捷且无油料渗出等特点。     

基于C3D辅助的战场传感器监视系统设计与实现

首先介绍了战场传感器监视系统的定义和各国现有典型系统。其次针对战场监视特殊的应用环境,利用C3D辅助技术,将相对定位与基于三维地图环境下的绝对定位相结合,通过坐标转换和地图匹配将位置信息直观准确反映在电子地图上,设计了基于C3D辅助的战场传感器监视系统,并对该系统进行了实现。最后通过对3D-MDS(C,D)定位算法的验证结果表明,在长1000m×7m宽的道路上,布撒120个节点,对于速度为3m/s的装甲车定位误差仅为2.1687米。该系统可对定位算法的定位精度进行评测及误差进行修正,防止由于误差累积造成误差放大。     

舰载试验指挥控制系统研究与实践

针对靶场海上试验发展的综合需求,对舰载试验指挥控制系统发展的必要性及现状进行了分析,重点从与靶场其它系统的接口关系、系统功能、体系结构及软件设计几方面完成了系统总体设计研究,最后阐述了系统实现过程的关键技术。实践表明,该系统的应用大大提高了海上试验指挥水平。     

【专题】基于深度学习及FPGA的装备目标检测研究

本文应用深度学习技术实现海天背景下基于可见光、红外方式成像的舰船及角反、烟幕干扰的目标检测,这也是反舰导弹作战使用的关键技术之一。采集的可见光与红外成像目标检测数据集涵盖实施典型干扰下的态势场景,贴近实战;结合四种不同的目标检测机制,选取YOLOV3、Faster R-CNN、SSD及CenterNet四种典型模型分别进行训练与验证,通过对比分析进一步提高弱小目标、复杂干扰态势的的检测,可以实现端到端的高精度装备目标检测模型。在确保精度的前提下基于现场可编程门阵列（FPGA）进行软硬件协同设计,通过对比分析选定基于Vitis AI的实施方案,经过模型的量化、编译与优化,可在保证检测效率的前提下快速实现模型的小型化部署,便于进行装备移植。研究结果表明,该研究内容可有效提高现役反舰导弹目标检测的准确率。     

Dynamic impact protective body armour: A comprehensive appraisal on panel engineering design and its prospective materials

Personal body armour is one of the most important pieces of equipment to protect human beings from various critical and fatal injuries. In today’s modern world, various organizations including law enforcement and security service have made it mandatory for their personnel to wear personal protection system while on field duty. However, the systems should comprise an improved ballistic performance, light-weighted, flexible as well as comfortable panel not only to be accepted with a wider range but also for effective performances of the consumer. Generally, the overall performances of the protective body armour could be affected by various parameters including armour design techniques, type of materials used and finishing of the panels. The current paper aims to critically review state-of-art for armour panel design techniques and the different perspective body armour materials. The paper starts by discussing the different body armour and its category. Later, the different states of technology for armour panel design (mostly for women), its problems and the possible solutions will be cited. Later, the commonly used different polymeric fibrous and the future possible advanced materials including carbon nanotube (CNT), Graphene CNT and shear thickening fluids (STFs) treated materials for developing the reinforced body armour panel will be discussed. The authors believe that this paper will enlighten useful guidelines and procedures about the different panel design techniques and current and promising future materials for researchers, designers, engineers and manufacturers working on the impact resistance body armour field.     

面向航天装备大数据的知识图谱体系

近年来,航天装备大数据平台建设已经取得了长足进步。然而,航天装备数据深层次价值仍然未被有效发掘,关键原因在于现有大数据业务数据存在无法跨专业贯通、缺乏全局数据资源智能分析及管理。知识图谱技术作为大数据时代的推理和分析利器,与航天装备大数据完成无缝对接具有天然的优势和内在动机。本文从研究面向航天装备数据知识图谱的/组织管理、关联分析、数据挖掘、知识可视化等开放式共享服务出发,通过大数据、人工智能方法挖掘航天数据的应用潜力,并引入数据化决策模型和监控体系,建立航天装备数据全息画像,实现业务数据的跨业务贯通,并提供网格化的高速检索,以求通过提升数据管理的规范化、标准化、精益化水平指导航天装备的优化和升级。     

Background dominant colors extraction method based on color image quick fuzzy c-means clustering algorithm

A quick and accurate extraction of dominant colors of background images is the basis of adaptive camouflage design. This paper proposes a Color Image Quick Fuzzy C-Means (CIQFCM) clustering algorithm based on clustering spatial mapping. First, the clustering sample space was mapped from the image pixels to the quantized color space, and several methods were adopted to compress the amount of clustering samples. Then, an improved pedigree clustering algorithm was applied to obtain the initial class centers. Finally, CIQFCM clustering algorithm was used for quick extraction of dominant colors of background image. After theoretical analysis of the effect and efficiency of the CIQFCM algorithm, several experiments were carried out to discuss the selection of proper quantization intervals and to verify the effect and efficiency of the CIQFCM algorithm. The results indicated that the value of quantization intervals should be set to 4, and the proposed algorithm could improve the clustering efficiency while maintaining the clustering effect. In addition, as the image size increased from 128 × 128 to 1024 × 1024, the efficiency improvement of CIQFCM algorithm was increased from 6.44 times to 36.42 times, which demonstrated the significant advantage of CIQFCM algorithm in dominant colors extraction of large-size images.     

卫星导航系统功率增强子星座优化设计与性能分析

卫星功率增强技术是提高区域导航信号抗干扰性能的一种有效措施,在卫星导航全星座中优选出卫星数量少、服务性能优的功率增强子星座,是新一代卫星导航系统建设迫切需要解决的问题。因此提出基于卫星数最少准则的功率增强子星座优化设计方法,详细介绍设计流程、数学模型及最优解搜索策略;定义了可用性水平、精度水平和覆盖范围等指标评估功率增强子星座性能;以GPS为例,分别针对覆盖点目标和区域目标两种应用背景进行功率增强子星座优化设计及性能评估。分析结果表明:全球范围内任意目标点进行功率增强需要12～17颗卫星;实现对我国沿海地区的连续覆盖需要18颗功率增强卫星;覆盖整个亚太地区则需要全星座24颗卫星都具备功率增强能力,这样才能满足其连续性和精度要求,此时最优功率增强子星座的服务范围可扩充至全球区域。     

车载高精度稳瞄系统的满意度设计

研究了车载高性能稳瞄系统伺服带宽设计的几个主要约束因素,对运动载体和强冲击振动环境下的扭转谐振等问题进行了深入研究,提出了噪声、精度和机械谐振等综合优化条件下的设计方法,同时对高性能稳瞄头部机构的安装机座提出了扭转谐振的要求以及减小谐振效应的方法.