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CI-New: Collaborative Research: Developing an Open Networked Airborne Computing Platform

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:
1730570
负责人:
Shengli Fu
金额:
$24.23万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2022-08-31

项目摘要

项目成果

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中文摘要
翻译
网络化机载计算是一种新型的计算范式,可以惠及许多重要的民用应用,包括智能交通、应急响应、基础设施监测、精准农业等。网络化机载计算也开辟了许多新的基础研究机会。尽管无人驾驶机载系统(UAS)研究很重要,但现有的基础设施不能满足研究需求,因为它们往往是专门为单一目的和/或面向涉及一架飞机的任务而设计的。因此,迫切需要一个开放的联网机载计算基础设施,以使计算机和信息科学与工程(CEISE)社区和其他社区能够参与这一新兴领域的新研究和开发。该项目预计将对应急、能源、环境和交通领域的协作多UAS应用产生广泛影响。该项目还提供科学、技术、工程和数学学习机会,并扩大代表不足的少数群体的参与。参与的大学中有三所是为少数族裔服务和/或为拉美裔服务的机构,有大量代表不足的少数族裔学生。该项目的目标是开发一个新的社区基础设施,以便能够对联网的机载计算系统进行高级研究。具体地说,拟议的社区基础设施将在联邦航空管理局指定的试验场提供硬件/软件设计和开发工具、讲习班和培训机会以及实地测试支持。拟议的机载计算平台具有创新性,它包括一个安装在UAS上的通用和交互计算系统、一个宽带无线通信系统、一个UAS/天线协同控制系统,以及支持全面开发的自上而下的应用开发能力。硬件和软件都是开源的,并设计在具有虚拟化支持的模块中,以便CISE研究人员可以轻松增强或更换模块,并实例化额外的虚拟功能,以促进联网机载计算应用和服务的各种研究和开发活动。新开发的模块化设计、灵活性和可扩展性使研究人员可以轻松地隔离和开发自己研究重点的特定组件,同时依赖其他组件的基本功能,从而节省大量学习和开发的成本和时间。该项目为CEISE研究人员提供了快速开发和测试解决方案的机会,这些解决方案解决了联网机载计算中的许多新的基本挑战,并显著推进了计算、通信、控制和航空航天领域的交叉研究和开发。
英文摘要
Networked airborne computing is a novel computing paradigm that can benefit many important civilian applications, including intelligent transportation, emergency response, infrastructure monitoring, precision agriculture, etc. Networked airborne computing also opens up many new fundamental research opportunities. Despite its importance, existing infrastructures for Unmanned Airborne Systems (UAS) research cannot serve the research needs because they are often designed specifically for a single purpose and/or oriented to missions that involve a single aircraft. Therefore, an open networked airborne computing infrastructure is critically needed to enable the Computer and Information Science and Engineering (CISE) communities and beyond to participate in new research and development in this burgeoning field. This project is expected to produce broad impact related to cooperative multi-UAS applications in emergency, energy, environment, and transportation sectors. This project also provides Science, Technology, Engineering and Mathematics learning opportunities, and expands underrepresented minority participation. Three of the participating universities are minority-serving and/or Hispanic serving institutions with a large number of underrepresented minority students. The objective of this project is to develop a new community infrastructure to enable advanced research on networked airborne computing systems. Specifically, the proposed community infrastructure will provide hardware/software designs and development tools, workshop and training opportunities, and field-test support in a Federal Aviation Administration-designated test site. The proposed airborne computing platform is innovative in that it includes a UAS-mounted generic and interactive computing system, a broadband wireless communication system, a UAS/antenna cooperative control system, and up-to-down application development capabilities to support a full-scale development. Both hardware and software are open-sourced and designed in modules with virtualization support so that CISE researchers can easily enhance or replace modules and instantiate additional virtualized functions to facilitate various research and development activities for networked airborne computing applications and services. The modular design, flexibility and extensibility for new development allow researchers to easily isolate and develop specific components of their own research focus while relying on the basic functionality of other components, thus saving significant cost and time for learning and development. The project opens up opportunities for CISE researchers to quickly develop and test solutions that address many new fundamental challenges in networked airborne computing, and to significantly advance cross-cutting research and development in computing, communication, control, and aerospace.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/tvt.2019.2954207
发表时间: 2020-02
期刊: IEEE Transactions on Vehicular Technology
影响因子: 6.8
作者: [Mitchell J. Grabner;Xinrong Li;Shengli Fu]
通讯作者: Mitchell J. Grabner;Xinrong Li;Shengli Fu
CFL-HC: A Coded Federated Learning Framework for Heterogeneous Computing Scenarios
CFL-HC:异构计算场景的编码联邦学习框架
DOI: 10.1109/globecom46510.2021.9685962
发表时间: 2021
期刊: 2021 IEEE Global Communications Conference (GLOBECOM
影响因子: --
作者: [Wang, Dong, Wang, Baoqian, Zhang, Jinran, Lu, Kejie, Xie, Junfei, Wan, Yan, Fu, Shengli]
通讯作者: Fu, Shengli
DOI: 10.1109/tnse.2021.3095040
发表时间: 2019-12
期刊: IEEE Transactions on Network Science and Engineering
影响因子: 6.6
作者: [Baoqian Wang;Junfei Xie;K. Lu;Yan Wan;Shengli Fu]
通讯作者: Baoqian Wang;Junfei Xie;K. Lu;Yan Wan;Shengli Fu
DOI: 10.1109/mwc.2019.1900025
发表时间: 2019-08
期刊: IEEE Wireless Communications
影响因子: 12.9
作者: [K. Lu;Junfei Xie;Yan Wan;Shengli Fu]
通讯作者: K. Lu;Junfei Xie;Yan Wan;Shengli Fu
9
    Collaborative Research: Research Infrastructure: CCRI: ENS: Enhanced Open Networked Airborne Computing Platform
    • 批准号:
      2235157
    • 项目类别:
      Standard Grant
    • 资助金额:
      $47.21万
    • 财政年份:
      2023
    • 负责人:
      Shengli Fu
    • 依托单位:
    EAGER: Aerial Communication Infrastructure for Smart Emergency Response
    • 批准号:
      1522458
    • 项目类别:
      Standard Grant
    • 资助金额:
      $19.99万
    • 财政年份:
      2015
    • 负责人:
      Shengli Fu
    • 依托单位:
    I-Corps: Drone-Carried WiFi Communication Infrastructure
    • 批准号:
      1508082
    • 项目类别:
      Standard Grant
    • 资助金额:
      $5.0万
    • 财政年份:
      2015
    • 负责人:
      Shengli Fu
    • 依托单位:
    Optimizing Student Learning Outcomes: A Comparative Study of Onsite, Virtual, and Remote Laboratories in Electrical Engineering
    • 批准号:
      1044883
    • 项目类别:
      Standard Grant
    • 资助金额:
      $19.98万
    • 财政年份:
      2011
    • 负责人:
      Shengli Fu
    • 依托单位:
    海外基金