EAGER: Aerial Communication Infrastructure for Smart Emergency Response

EAGER:用于智能应急响应的空中通信基础设施

基本信息

  • 批准号:
    1522458
  • 负责人:
  • 金额:
    $ 19.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-06-15 至 2018-05-31
  • 项目状态:
    已结题

项目摘要

This project exploits an early concept of a flexible, low-cost, and drone-carried broadband long-distance communication infrastructure and investigates its capability for immediate smart-city application in emergency response. This effort is to support the Smart Emergency Response System (SERS) cluster to participate in the Global City Teams Challenge. This project will have an immediate impact in firefighting and other smart-city emergency response applications by quickly deploying a broadband communication infrastructure, thus improving the efficiency of first responders and saving lives. This communication infrastructure expands the capability of individual drones and enables broad new multi-drone applications for smart cities and has the potential to create new businesses and job markets.This interdisciplinary project addresses the following technology issues: 1) development of cyber-physical systems (CPS) technology that enables robust long-range drone-to-drone communication infrastructure; 2) practical drone system design and performance evaluation for WiFi provision; and 3) a systematic investigation of its capability to address smart-city emergency response needs, through both analysis and participation in fire-fighting exercises, as a case study. The project team includes an academic institution, technology companies and government planners, each of whom provides complementary expertise and perspectives that are crucial to the success of the project. The project also provides exciting interdisciplinary training opportunities for students and the community to learn CPS technologies and the Global City Teams Challenge efforts.
该项目利用了灵活、低成本、无人机携带的宽带远程通信基础设施的早期概念,并研究了其在应急响应中立即应用于智慧城市的能力。这项工作是为了支持智能应急响应系统(SERS)集群参与全球城市团队挑战赛。该项目将通过快速部署宽带通信基础设施,对消防和其他智慧城市应急响应应用产生直接影响,从而提高急救人员的效率并挽救生命。这种通信基础设施扩展了单架无人机的能力,并为智慧城市提供了广泛的新型多无人机应用,并有潜力创造新的业务和就业市场。这个跨学科项目解决了以下技术问题:1)开发网络物理系统(CPS)技术,以实现强大的远程无人机对无人机通信基础设施; 2) 实用的无人机系统设计和WiFi提供的性能评估; 3) 通过分析和参与消防演习,系统调查其满足智慧城市应急响应需求的能力,作为案例研究。项目团队包括学术机构、技术公司和政府规划者,他们各自提供互补的专业知识和观点,这对项目的成功至关重要。该项目还为学生和社区提供令人兴奋的跨学科培训机会,以学习 CPS 技术和全球城市团队挑战赛的努力。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Shengli Fu其他文献

Long-Lived Plasma Cells Secrete High-Affinity Antibodies Responding to a T-Dependent Immunization in a Teleost Fish
长寿命浆细胞分泌高亲和力抗体来响应硬骨鱼中的 T 依赖性免疫
  • DOI:
    10.3389/fimmu.2019.02324
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    7.3
  • 作者:
    Liting Wu;Shengli Fu;Xiaoxue Yin;Zheng Guo;Anli Wang;Jianmin Ye
  • 通讯作者:
    Jianmin Ye
Exploring the relationship between students’ learning styles and learning outcome in engineering laboratory education
探索工程实验教育中学生学习风格与学习成果之间的关系
MOTEINO-BASED WIRELESS DATA TRANSFER FOR ENVIRONMENTAL MONITORING Samuel Iyiola Thesis Prepared for the Degree of MASTER OF SCIENCE UNIVERSITY OF NORTH TEXAS
基于 MOTEINO 的环境监测无线数据传输 Samuel Iyiola 为北德克萨斯大学理学硕士学位论文准备
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Miguel Acevedo;Xinrong Li;Yan Wan;Shengli Fu;Victor Prybutok;Samuel Iyiola;Ramanpreet Singh;Phillip Hensley;Michael Assad;Sanjaya Gurung;Satish Kumar
  • 通讯作者:
    Satish Kumar
Affinity-Driven Site-Specific High Mannose Modification Determines the Structural Polymerization and Function of Tetrameric IgM in a Primitive Vertebrate.
亲和力驱动的位点特异性高甘露糖修饰决定了原始脊椎动物中四聚体 IgM 的结构聚合和功能。
  • DOI:
    10.4049/jimmunol.2100921
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiaoxue Yin;Xiaoyu Li;Liangliang Mu;Hao Bai;Yanjian Yang;Nuo Chen;Liting Wu;Shengli Fu;Jun Li;Wantao Ying;Jianmin Ye
  • 通讯作者:
    Jianmin Ye
Identification and characterization of C1 inhibitor in Nile tilapia in response to pathogenic bacteria
尼罗罗非鱼响应病原菌的 C1 抑制剂的鉴定和表征
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    Mingmei Ding;Meng Chen;Xiaofang Zhong;Yuhong Wang;Shengli Fu;Xiaoxue Yin;Zheng Guo;Jianmin Ye
  • 通讯作者:
    Jianmin Ye

Shengli Fu的其他文献

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{{ truncateString('Shengli Fu', 18)}}的其他基金

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
  • 批准号:
    2235157
  • 财政年份:
    2023
  • 资助金额:
    $ 19.99万
  • 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:
    1730570
  • 财政年份:
    2017
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant
I-Corps: Drone-Carried WiFi Communication Infrastructure
I-Corps:无人机携带的 WiFi 通信基础设施
  • 批准号:
    1508082
  • 财政年份:
    2015
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant
Optimizing Student Learning Outcomes: A Comparative Study of Onsite, Virtual, and Remote Laboratories in Electrical Engineering
优化学生学习成果:电气工程现场、虚拟和远程实验室的比较研究
  • 批准号:
    1044883
  • 财政年份:
    2011
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant

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