基于Tilcon的指控系统多任务人机交互软件设计

Tilcon是军事特别是指挥控制领域广泛使用的人机交互界面开发工具。简单介绍了Tilcon的组成和人机交互处理流程,分析了应用Tilcon处理多任务人机交互事件的不足,设计了一个基于Tilcon的指控系统多任务人机交互软件架构,并给出了具体实现方法。工程应用表明,该人机交互软件体系结构清晰,具有较好的健壮性、开放性和兼容性,可显著提高指控系统人机交互处理的实时性。     

小口径速射舰炮武器系统反导射击方法研究

小口径速射舰炮受弹鼓容量及舰炮发射系统限制,一般不能在舰炮武器系统有效射击范围内全航路持续射击,这就要求对射击方法进行研究。应用蒙特卡洛法,在MATLAB软件平台上计算了小口径速射舰炮武器系统对匀速直线运动导弹的命中概率与弹丸相遇点距离间的关系,提出了以全航路最大概率命中导弹有效部位为基础制定射击终止点,反推射击起始点的射击方法,提高了舰炮武器系统在全航路射弹数限定条件下的命中概率;以舰炮武器系统跟踪器最大跟踪角速度限制因素为例,分析了导弹运动速度、航路捷径与射击区域的对应关系,并应用本方法对导弹典型航路的射击方案进行了仿真。仿真结果表明该方法在一定条件下能有效提高舰炮武器系统对导弹的全航路命中概率。     

基于SysML的车辆信息系统设计

针对目前车辆信息系统缺乏有效设计方法的现状,结合新时期车辆信息系统的特点,提出了一种基于SysML的车辆信息系统设计方法。该方法明确了车辆信息系统设计过程的阶段和产物,并通过标准建模语言SysML的运用,用模型来支持系统的设计和有效性验证。该方法在智能巡航系统的设计中得到了运用。实践结果表明,该方法不仅能够自顶向下完整地设计系统、利用可视化的语言准确清晰地描述系统,而且能够在系统设计层面对系统功能逻辑和数据流进行动态仿真和迭代验证。该方法能够较好地指导新时期车辆信息系统的设计过程,满足信息系统的设计要求。     

Fuzzy recognition of missile borne multi-line array infrared detection based on size calculating

In order to improve the infrared detection and discrimination ability of the smart munition to the dy-namic armor target under the complex background, the multi-line array infrared detection system is established based on the combination of the single unit infrared detector. The surface dimension features of ground armored targets are identified by size calculating solution algorithm. The signal response value and the value of size calculating are identified by the method of fuzzy recognition to make the fuzzy classification judgment for armored target. According to the characteristics of the target signal, a custom threshold de-noising function is proposed to solve the problem of signal preprocessing. The multi-line array infrared detection can complete the scanning detection in a large area in a short time with the characteristics of smart munition in the steady-state scanning stage. The method solves the disadvan-tages of wide scanning interval and low detection probability of single unit infrared detection. By reducing the scanning interval, the number of random rendezvous in the infrared feature area of the upper surface is increased, the accuracy of the size calculating is guaranteed. The experiments results show that in the fuzzy recognition method, the size calculating is introduced as the feature operator, which can improve the recognition ability of the ground armor target with different shape size.     

区块链在车联网中的应用综述

针对当前车联网系统面临的网络安全与可信以及数据大规模同步共享挑战,提出利用区块链技术提升车联网系统的安全性水平与协同共享能力。首先从概念特征与技术架构两个层面对区块链技术进行了整体概述,并结合区块链去中心化存储、共识安全防护、数据不可篡改等特点,探讨了区块链与边缘计算协同应用的互补优势与研究现状。进而从协作同步、安全信任、数据共享三个角度分析了区块链在车联网系统中的应用方向并具体介绍了区块链在车联网数据、模型等元素共享方面的应用研究内容。最后从车联网系统中的车和路两个角度指出了未来区块链技术将推动车联网由单车智能向群体智能、由单点交通控制向区域联动控制演进发展。区块链与车联网的结合应用有效提升了车联网的安全性水平与协同共享能力,将进一步推动汽车、交通与通信等行业深度融合,促进车联网技术高速发展。     

Decision support model for effects estimation and proportionality assessment for targeting in cyber operations

Cyber operations are relatively a new phenomenon of the last two decades.During that period,they have increased in number,complexity,and agility,while their design and development have been processes well kept under secrecy.As a consequence,limited data(sets)regarding these incidents are available.Although various academic and practitioner public communities addressed some of the key points and dilemmas that surround cyber operations(such as attack,target identification and selection,and collateral damage),still methodologies and models are needed in order to plan,execute,and assess them in a responsibly and legally compliant way.Based on these facts,it is the aim of this article to propose a model that i))estimates and classifies the effects of cyber operations,and ii)assesses proportionality in order to support targeting decisions in cyber operations.In order to do that,a multi-layered fuzzy model was designed and implemented by analysing real and virtual realistic cyber operations combined with interviews and focus groups with technical-military experts.The proposed model was evaluated on two cyber operations use cases in a focus group with four technical-military experts.Both the design and the results of the evaluation are revealed in this article.     

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.     

装备表面现代维修保养技术研究

结合装备表面智能维修保养技术方面的研究成果,介绍了装甲装备故障智能检测技术、自适应、自修复功能材料,装甲装备器材全自动保养设备等先进技术,侧重装备维修保养阐述了如何提高信息化程度,推进军队武器装备维修保养技术的现代化建设。     

基于场景的C2系统的模拟与评价方法

为适应一体化联合作战指挥控制系统快速决策与实时性能评价的要求,提出一种基于场景的系统快速模拟与评价模型.其优点在于①根据系统需求实现系统的建模、仿真代码自动生成及性能评价.②模型自适应能力强,系统场景设计中的冲突、不完整、安全、性能及行为错误等问题都可以通过仿真过程中不同方面的动态分析检测出来.     

How old is too old? An economic approach to replacing military aircraft

The US Air Force is asking when to replace its aging aircraft. We develop a framework to identify economically optimal replacement strategies that recognizes cost trade-offs and incorporates age effects. We also preview a stochastic methodology. We use the framework to identify an optimal strategy, defined by the replacement age, for a generic fleet and conduct a sensitivity analysis. Quantitative illustrations show that the range of strategies that provides close-to-optimal outcomes widens as the operating and support (O&S) cost growth rate decreases and the ratio of the acquisition price to the initial O&S cost increases. A wider range implies more decision-making leeway.