CI-New: Collaborative Research: Developing an Open Networked Airborne Computing Platform
CI-New: Collaborative Research: Developing an Open Networked Airborne Computing Platform
批准号:
1730325
负责人:
Kejie Lu
金额:
$24.25万
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
中文摘要
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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.
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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/tcc.2021.3050012
发表时间:
2021-01
期刊:
IEEE Transactions on Cloud Computing
影响因子:
6.5
作者:
[Jin Wang;Chunming Cao;Jianping Wang;K. Lu;A. Jukan;Wei Zhao]
通讯作者:
Jin Wang;Chunming Cao;Jianping Wang;K. Lu;A. Jukan;Wei Zhao
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
A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving
自动驾驶中基于采样的运动规划的新型学习框架
DOI:
10.1609/aaai.v34i01.5473
发表时间:
2020
期刊:
Proceedings of the AAAI Conference on Artificial Intelligence
影响因子:
--
作者:
[Zhang, Yifan, Zhang, Jinghuai, Zhang, Jindi, Wang, Jianping, Lu, Kejie, Hong, Jeff]
通讯作者:
Hong, Jeff
DOI:
10.1109/tnse.2018.2888848
发表时间:
2019-10
期刊:
IEEE Transactions on Network Science and Engineering
影响因子:
6.6
作者:
[Jin Wang;K. Lu;Jianping Wang;Chuan Wu;Naijie Gu]
通讯作者:
Jin Wang;K. Lu;Jianping Wang;Chuan Wu;Naijie Gu
共 17 条
Collaborative Research: Research Infrastructure: CCRI: ENS: Enhanced Open Networked Airborne Computing Platform
-
批准号:2235158
-
项目类别:Standard Grant
-
资助金额:$26.09万
-
财政年份:2023
-
负责人:Kejie Lu
-
依托单位:
MRI: Development of A Versatile Service-Oriented Wireless Mesh Network for Disaster Relief And Environmental Monitoring in Puerto Rico
-
批准号:0922996
-
项目类别:Standard Grant
-
资助金额:$41.3万
-
财政年份:2009
-
负责人:Kejie Lu
-
依托单位:
Improving the Curriculum of Electrical and Computer Engineering through A Wireless Network Testbed: A Vertical Integration Approach
-
批准号:0736868
-
项目类别:Standard Grant
-
资助金额:$15.0万
-
财政年份:2008
-
负责人:Kejie Lu
-
依托单位:
海外基金