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Cloud-Blockchain-Fusion–Based Secure Sharing Model for Air Traffic Management 基于云-区块链-融合的空中交通管理安全共享模型
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-04-17 DOI: 10.2514/1.i011304
Qing Wang, Lizhe Zhang, Xin Lu

Data sharing is the keystone to maintain the continuous operation of air traffic management (ATM). As situational awareness and collaborative decision-making become significant components of smart ATM, data sharing capability becomes a constraint on the development of ATM. The existing ATM data-sharing solutions have the following issues: 1) data-sharing efficiency is low; 2) data security has not received sufficient attention; and 3) access control is difficult to implement. Therefore, a security data-sharing model for ATM based on cloud-blockchain fusion is proposed, which realizes data security storage, intelligent service governance, and data authorized access. Firstly, a set of metafile storage structures is defined to realize the separate storage of data and metadata, which provides integrity verification and encrypted storage. Besides, using attribute-based encryption and service retrieval algorithms, the data publishing, discovery, and invocation functions based on smart contracts are realized. Finally, this scheme realizes secure data sharing in the ATM environment, and the computational cost and time cost are also kept at an acceptable level compared with other existing schemes.

数据共享是维持空中交通管理(ATM)持续运行的基石。随着态势感知和协同决策成为智能 ATM 的重要组成部分,数据共享能力成为制约 ATM 发展的因素。现有的 ATM 数据共享解决方案存在以下问题:1) 数据共享效率低;2) 数据安全未得到足够重视;3) 访问控制难以实现。因此,提出了一种基于云-区块链融合的ATM安全数据共享模型,实现了数据安全存储、智能服务治理和数据授权访问。首先,定义了一套元文件存储结构,实现数据和元数据的分离存储,提供完整性验证和加密存储。此外,利用基于属性的加密和服务检索算法,实现了基于智能合约的数据发布、发现和调用功能。最后,该方案实现了 ATM 环境下的安全数据共享,与其他现有方案相比,计算成本和时间成本也保持在可接受的水平。
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引用次数: 0
Automated Spoken-to-Coded Pilot Weather Reports in General Aviation 通用航空中的自动语音编码飞行员天气报告
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-04-05 DOI: 10.2514/1.i011386
Shantanu Gupta, Brandon J. Pitts, Mary E. Johnson
Journal of Aerospace Information Systems, Ahead of Print.
航空航天信息系统期刊》,提前印刷。
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引用次数: 0
OMNeT++ Simulation Framework for Avionics Full-Duplex Switched Ethernet 用于航空电子设备全双工交换式以太网的 OMNeT++ 仿真框架
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-03-25 DOI: 10.2514/1.i011351
İ. Peşkircioğlu Gökçe, M. Üçüncü, E. Güran Schmidt

Avionics Full-Duplex Switched Ethernet (AFDX) is a popular network technology for integrated modular avionics (IMA). When designing an AFDX network, it is important to fulfill the real-time communication requirements of avionic systems. To this end, simulation tools offer a low-cost solution for the performance evaluation of a given AFDX network and message set configuration at the design stage. In this paper, we develop an improved AFDX model for the widely used OMNeT++ (extensible, modular, component-based C++ simulation library and framework) network simulator. Our model exhibits high fidelity to the standard, adds detailed parameter configuration and data logging capabilities, and is compatible with the most recent OMNeT++ version. Our model is accepted by the OMNeT++ community and published as the current AFDX simulation model. Moreover, we propose a complete AFDX simulation framework by augmenting our improved OMNeT++ models with a new network configuration and analysis software tool that we call ANCAT. ANCAT enables users who lack familiarity with the OMNeT++ interface and specific file formats to provide simulation parameters in generic file formats such as.xlsx. Subsequently, ANCAT runs the simulation and generates reports for the results. We first systematically verify the correctness of our AFDX simulation framework by custom-designed experiments. Then, we investigate the practicability of our proposed framework with the performance analysis of a realistic AFDX network topology and message set. In particular, we demonstrate that our proposed framework can be efficiently used to explore the real-time capabilities and relevant features of AFDX networks, as well as provide basic guidelines for network configuration.

航空电子全双工交换式以太网(AFDX)是一种用于集成模块化航空电子设备(IMA)的流行网络技术。在设计 AFDX 网络时,必须满足航空电子系统的实时通信要求。为此,仿真工具提供了一种低成本的解决方案,可在设计阶段对给定的 AFDX 网络和信息集配置进行性能评估。在本文中,我们为广泛使用的 OMNeT++(可扩展、模块化、基于组件的 C++ 仿真库和框架)网络仿真器开发了一个改进的 AFDX 模型。我们的模型高度忠实于标准,增加了详细的参数配置和数据记录功能,并与最新的 OMNeT++ 版本兼容。我们的模型已被 OMNeT++ 社区接受,并作为当前的 AFDX 仿真模型发布。此外,我们还提出了一个完整的 AFDX 仿真框架,通过一个新的网络配置和分析软件工具(我们称之为 ANCAT)来增强我们改进的 OMNeT++ 模型。ANCAT 使不熟悉 OMNeT++ 界面和特定文件格式的用户能够以通用文件格式(如.xlsx)提供仿真参数。随后,ANCAT 运行仿真并生成结果报告。我们首先通过定制实验系统地验证了 AFDX 仿真框架的正确性。然后,我们通过对现实 AFDX 网络拓扑和信息集的性能分析,研究了我们提出的框架的实用性。特别是,我们证明了我们提出的框架可以有效地用于探索 AFDX 网络的实时能力和相关特性,并为网络配置提供基本指导。
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引用次数: 0
Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements 为航空航天需求中的命名实体识别开发语言模型
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-03-25 DOI: 10.2514/1.i011251
Archana Tikayat Ray, Olivia J. Pinon Fischer, Ryan T. White, Bjorn F. Cole, Dimitri N. Mavris
Journal of Aerospace Information Systems, Ahead of Print.
航空航天信息系统期刊》,提前印刷。
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引用次数: 0
Electric Motor Chain Modeling Using Artificial Neural Networks and Semi-Empirical Methods 使用人工神经网络和半经验方法建立电机链模型
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-03-12 DOI: 10.2514/1.i011250
Marine Segui, Ruxandra Mihaela Botez
Journal of Aerospace Information Systems, Ahead of Print.
航空航天信息系统期刊》,提前印刷。
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引用次数: 0
Unknown Non-Cooperative Spacecraft Characterization with Lightweight Convolutional Neural Networks 利用轻量级卷积神经网络进行未知非合作航天器特征描述
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-03-04 DOI: 10.2514/1.i011343
Trupti Mahendrakar, Ryan T. White, Madhur Tiwari, Markus Wilde
Journal of Aerospace Information Systems, Ahead of Print.
航空航天信息系统期刊》,提前印刷。
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引用次数: 0
Automated One-Sided Learning Fault Detection System for Reaction Wheel Bearing Friction Anomalies 反作用力轮轴承摩擦异常自动单边学习故障检测系统
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-02-29 DOI: 10.2514/1.i011344
Yujia Huang, Philip Ferguson
Journal of Aerospace Information Systems, Ahead of Print.
航空航天信息系统期刊》,提前印刷。
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引用次数: 0
Neural Network Classification-Regression Method Applied to Approach Speed Control Strategy 神经网络分类回归法应用于接近速度控制策略
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-02-23 DOI: 10.2514/1.i011379
Ryota Mori
Journal of Aerospace Information Systems, Ahead of Print.
航空航天信息系统期刊》,提前印刷。
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引用次数: 0
Review of Contemporary Methods for Reliability Analysis in Aircraft Components 当代飞机部件可靠性分析方法综述
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-02-13 DOI: 10.2514/1.i011277
Anil Ramachadran, S. Rambabu, P. Swathi Pratha, U. Vamsi Krishna, Robin Ramdin, Vijay Krishna Menon, Chandrasekhar Jayaramakrishnan, K. P. Soman
Journal of Aerospace Information Systems, Ahead of Print.
航空航天信息系统期刊》,提前印刷。
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引用次数: 0
Learning Generative Models for Climbing Aircraft from Radar Data 从雷达数据中学习爬升飞机的生成模型
IF 1.5 4区 工程技术 Q2 ENGINEERING, AEROSPACE Pub Date : 2024-02-03 DOI: 10.2514/1.i011359
Nick Pepper, Marc Thomas
Journal of Aerospace Information Systems, Ahead of Print.
航空航天信息系统期刊》,提前印刷。
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引用次数: 0
期刊
Journal of Aerospace Information Systems
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