Collaborative Research: Research Infrastructure: CCRI: ENS: Enhanced Open Networked Airborne Computing Platform
合作研究:研究基础设施:CCRI:ENS:增强型开放网络机载计算平台
基本信息
- 批准号:2235159
- 负责人:
- 金额:$ 31.48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-05-15 至 2026-04-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The project aims to develop an enhanced open networked airborne computing platform to facilitate the design, implementation, and testing of an airborne computing platform that seamlessly integrates control, computing, communication, and networking. The project will provide community support based on the flywheel model, and to attract and engage community users through organized support from four regional sites in the nation, hands-on workshops, testbed access, and technical user services. The intellectual merit lies in a new set of enhancements to facilitate more advanced research and applications of airborne computing. Specifically, the proposed infrastructure is enhanced in four major areas. First, hardware/middle-ware update to facilitate distributed control, which includes phased array antennas, next generation of mobile system, and Robot Operating System (ROS) 2. Second, enhancement of communication and networking, which include software-defined radio (SDR), long-term evolution (LTE), and software-defined networking (SDN). Third, enhancement of airborne computing services, which include the target recognition and tracking service, mobile edge computing (MEC) service, and airborne LiDAR (Light Detection and Ranging) data processing service. Last, the incorporation of security features, which include the development of a secure and privacy-preserving federated learning platform and integration of security packages to fulfill essential and advanced security requirements, such as confidentiality, integrity, authentication, and secure computation.This collaborative project brings together investigators from the University of North Texas (UNT), the University of Texas at Arlington (UTA), San Diego State University (SDSU), and the University of Puerto Rico at Mayaguez (UPRM). All four participating universities are minority-serving (UPRM) or Hispanic-serving (UTA, UNT, and SDSU) institutions with a large number of underrepresented minority students. The project will reach out to local communities through K-12 activities, and also pursue broad dissemination through organizing student design competitions, tutorials, and workshops, participating in national demonstration efforts, and engaging domain professionals. The proposed education and outreach activities will produce a profound impact on broad communities and benefit a large number of underrepresented minority students. The proposed project on enhanced open networked airborne computing platform will address the design and evaluation needs of many researchers in the CISE community and benefit a wide range of applications in the emergency, energy, environment, and transportation sectors.The project website https://utari.uta.edu/research/airborne/ will be the portal to access detailed design documents, hardware and software tools, tutorial, datasets, training materials, conferences and workshops, and other project-related materials to extend the research capabilities of the broader community during and beyond the project span.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目旨在开发增强型开放式网络机载计算平台,以促进无缝集成控制、计算、通信和网络的机载计算平台的设计、实现和测试。该项目将提供基于飞轮模型的社区支持,并通过全国四个区域站点的有组织支持、实践研讨会、测试平台访问和技术用户服务来吸引和吸引社区用户。其智力优势在于一系列新的增强功能,以促进更先进的机载计算研究和应用。具体来说,拟议的基础设施在四个主要领域得到加强。首先,硬件/中间件更新以促进分布式控制,包括相控阵天线、下一代移动系统和机器人操作系统(ROS)2。其次,增强通信和网络,包括软件定义无线电(SDR) )、长期演进(LTE)和软件定义网络(SDN)。第三,增强机载计算服务,包括目标识别与跟踪服务、移动边缘计算(MEC)服务、机载激光雷达(光探测和测距)数据处理服务。最后,结合安全功能,包括开发安全且保护隐私的联邦学习平台以及集成安全包,以满足基本和高级的安全要求,例如机密性、完整性、身份验证和安全计算。这个合作项目汇集了来自北德克萨斯大学 (UNT)、德克萨斯大学阿灵顿分校 (UTA)、圣地亚哥州立大学 (SDSU) 和波多黎各大学马亚圭斯分校 (UPRM) 的研究人员。所有四所参与的大学都是少数族裔服务(UPRM)或西班牙裔服务(UTA、UNT 和 SDSU)机构,拥有大量少数族裔学生。该项目将通过 K-12 活动接触当地社区,并通过组织学生设计竞赛、教程和研讨会、参与国家示范工作以及吸引领域专业人士来寻求广泛传播。拟议的教育和推广活动将对广大社区产生深远影响,并使大量代表性不足的少数族裔学生受益。拟议的增强型开放网络机载计算平台项目将满足CISE社区许多研究人员的设计和评估需求,并使应急、能源、环境和交通领域的广泛应用受益。项目网站https:// utari.uta.edu/research/airborne/ 将成为访问详细设计文档、硬件和软件工具、教程、数据集、培训材料、会议和研讨会以及其他项目相关材料的门户,以扩展更广泛的研究能力项目期间和项目之外的社区。这该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
UAV-based Networked Airborne Computing Simulator and Testbed Design and Implementation
基于无人机的网络化机载计算模拟器及试验台设计与实现
- DOI:10.1109/icuas57906.2023.10156100
- 发表时间:2023-06
- 期刊:
- 影响因子:0
- 作者:Wang, Baoqian;Xie, Junfei;Ma, Ke;Wan, Yan
- 通讯作者:Wan, Yan
Exploring Networked Airborne Computing: A Comprehensive Approach with Advanced Simulator and Hardware Testbed
探索网络机载计算:采用高级模拟器和硬件测试台的综合方法
- DOI:10.1142/s2301385024420056
- 发表时间:2023-11
- 期刊:
- 影响因子:5.3
- 作者:Zhang, Haomeng;Wang, Baoqian;Wu, Ruitao;Xie, Junfei;Wan, Yan;Fu, Shengli;Lu, Kejie
- 通讯作者:Lu, Kejie
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Junfei Xie其他文献
Strategic air traffic flow management under uncertainties using scalable sampling-based dynamic programming and Q-learning approaches
使用可扩展的基于采样的动态规划和 Q 学习方法在不确定性下进行战略空中交通流量管理
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Junfei Xie;Yan Wan;F. Lewis - 通讯作者:
F. Lewis
A Scalable Sampling Method to High-Dimensional Uncertainties for Optimal and Reinforcement Learning-Based Controls
针对高维不确定性的可扩展采样方法,用于基于优化和强化学习的控制
- DOI:
10.1109/lcsys.2017.2708598 - 发表时间:
2017-05-26 - 期刊:
- 影响因子:3
- 作者:
Junfei Xie;Yan Wan;K. Mills;J. Filliben;Frank L. Lewis - 通讯作者:
Frank L. Lewis
Characterization of the oral breakdown, sensory properties, and volatile release during mastication of white bread.
白面包咀嚼过程中口腔分解、感官特性和挥发物释放的表征。
- DOI:
10.1016/j.foodchem.2019.125003 - 发表时间:
2019-11-15 - 期刊:
- 影响因子:8.8
- 作者:
D;an Pu;an;Huiying Zhang;Yuyu Zhang;Baoguo Sun;F. Ren;Haitao Chen;Junfei Xie - 通讯作者:
Junfei Xie
Urban stress-induced biogenic VOC emissions and SOA-forming potentials in Beijing
- DOI:
10.5194/acp-16-2901-2016 - 发表时间:
2016-03-07 - 期刊:
- 影响因子:6.3
- 作者:
A. Ghirardo;Junfei Xie;Xunhua Zheng;Yuesi Wang;R. Grote;Katja Block;J. Wildt;T. Mentel;A. Kiendler‐Scharr;M. Hallquist;K. Butterbach‐Bahl;J. Schnitzler - 通讯作者:
J. Schnitzler
Communication-Efficient ∆-Stepping for Distributed Computing Systems
高效通信 — 分布式计算系统的步进
- DOI:
10.1109/wimob58348.2023.10187809 - 发表时间:
2023-06-21 - 期刊:
- 影响因子:0
- 作者:
Haomeng Zhang;Junfei Xie;Xinyu Zhang - 通讯作者:
Xinyu Zhang
Junfei Xie的其他文献
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{{ truncateString('Junfei Xie', 18)}}的其他基金
CAREER: Towards Networked Airborne Computing in Uncertain Airspace: A Control and Networking Facilitated Distributed Computing Framework
职业:走向不确定空域的网络机载计算:控制和网络促进的分布式计算框架
- 批准号:
2048266 - 财政年份:2021
- 资助金额:
$ 31.48万 - 项目类别:
Continuing Grant
CI-New: Collaborative Research: Developing an Open Networked Airborne Computing Platform
CI-New:协作研究:开发开放式网络机载计算平台
- 批准号:
1953048 - 财政年份:2019
- 资助金额:
$ 31.48万 - 项目类别:
Standard Grant
EAGER: Real-Time: Collaborative Research: Unified Theory of Model-based and Data-driven Real-time Optimization and Control for Uncertain Networked Systems
EAGER:实时:协作研究:不确定网络系统基于模型和数据驱动的实时优化与控制的统一理论
- 批准号:
1953049 - 财政年份:2019
- 资助金额:
$ 31.48万 - 项目类别:
Standard Grant
EAGER: Real-Time: Collaborative Research: Unified Theory of Model-based and Data-driven Real-time Optimization and Control for Uncertain Networked Systems
EAGER:实时:协作研究:不确定网络系统基于模型和数据驱动的实时优化与控制的统一理论
- 批准号:
1839707 - 财政年份:2018
- 资助金额:
$ 31.48万 - 项目类别:
Standard Grant
CI-New: Collaborative Research: Developing an Open Networked Airborne Computing Platform
CI-New:协作研究:开发开放式网络机载计算平台
- 批准号:
1730589 - 财政年份:2017
- 资助金额:
$ 31.48万 - 项目类别:
Standard Grant
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