US-Singapore Workshop: Collaborative Research: Understand the World by Analyzing Many Video Streams
美国-新加坡研讨会:合作研究:通过分析许多视频流了解世界
基本信息
- 批准号:1427824
- 负责人:
- 金额:$ 1.01万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-12-01 至 2015-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
NSF CNIC US-Singapore Workshop: Collaborative Research: Understand the World by Analyzing Many Video Streams Many thousands of network cameras provide near real-time view of the world. Valuable scientific information could be extracted by analyzing the large amounts of data. However, most of the data are never analyzed or archived. Analysis programs must be able to retrieve data from distributed sources, manage network accesses, schedule computation resources, allocate storage space, analyze the data, store the results, and present the results in formats that are easy to comprehend. Although the data are available, analyses today are limited due to the lack of a software framework to write and execute computer programs. To harvest the knowledge from the data, the researchers from six universities are creating a system that can analyze the vast amount of visual data. The team will organize a workshop in December 2014 in Singapore. In this workshop, the team will share the information of the projects currently been conducted independently in the six universities. The researchers will present and demonstrate their projects, discuss and develop a plan for collaboration. The team includes Yung-Hsiang Lu (lead, Purdue University), Ketan Mayer-Patel (University of North Carolina), Cong Liu (University of Texas Dallas), Wei Tsang Ooi (National University of Singapore), Jason Gu (Singapore University of Technology and Design), Yonggang Wen (Nanyang Technological University).
NSF CNIC美国-新加坡研讨会:合作研究:通过分析许多视频流了解世界成千上万的网络摄像机提供近乎实时的世界视图。通过对大量数据的分析,可以提取出有价值的科学信息。然而,大多数数据从未被分析或存档。分析程序必须能够从分布式数据源检索数据,管理网络访问,调度计算资源,分配存储空间,分析数据,存储结果,并以易于理解的格式呈现结果。虽然数据是可用的,但由于缺乏编写和执行计算机程序的软件框架,今天的分析是有限的。为了从数据中获取知识,来自六所大学的研究人员正在创建一个可以分析大量视觉数据的系统。该小组将于2014年12月在新加坡举办一次研讨会。在这次研讨会上,该团队将分享目前在六所大学独立开展的项目的信息。研究人员将展示他们的项目,讨论和制定合作计划。该团队包括Yung-Hsiang Lu(领导,普渡大学),Ketan Mayer-Patel(北卡罗来纳州大学),Cong Liu(德克萨斯大学达拉斯),Wei Tsang Ooi(新加坡国立大学),Jason Gu(新加坡科技设计大学),Yonggang Wen(南洋理工大学)。
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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Cong Liu其他文献
Analysis of magnetic field characteristics and no-load losses of three-dimensional wound core transformer
三维卷铁心变压器磁场特性及空载损耗分析
- DOI:
10.1088/1742-6596/2503/1/012073 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Min Li;Wei Yao;Xing;Cong Liu - 通讯作者:
Cong Liu
Tunable Doppler shift using a time-varying epsilon-near-zero thin film near 1550 nm.
使用 1550 nm 附近的时变 epsilon 近零薄膜进行可调谐多普勒频移。
- DOI:
10.1364/ol.430106 - 发表时间:
2021 - 期刊:
- 影响因子:3.6
- 作者:
Cong Liu;M. Alam;K. Pang;Karapet Manukyan;J. Hendrickson;Evan M. Smith;Yiyu Zhou;O. Reshef;Hao Song;Runzhou Zhang;Haoqian Song;F. Alishahi;A. Fallahpour;A. Almaiman;R. Boyd;M. Tur;A. Willner - 通讯作者:
A. Willner
Evolution of the North Pacific Subtropical Mode Water in Anticyclonic Eddies
反气旋涡旋中北太平洋副热带模态水的演化
- DOI:
10.1002/2017jc013450 - 发表时间:
2017-12 - 期刊:
- 影响因子:0
- 作者:
Lixiao Xu;Shang-Ping Xie;Qinyu Liu;Cong Liu;Peiliang Li;Xiaopei Lin - 通讯作者:
Xiaopei Lin
Ultra-Fast Ammonium-Storage: Strong H-Bonding Between NH4 + and Bilayered V2O5
超快速氨储存:NH4 和双层 V2O5 之间的强氢键
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:23.5
- 作者:
Shengyang Dong;Woochul Shin;Heng Jiang;Xianyong Wu;Zhifei Li;John Holoubek;William F. Stickle;Baris Key;Cong Liu;Jun Lu;P. Alex Greaney;Xiaogang Zhang;Xiulei Ji - 通讯作者:
Xiulei Ji
Prevalence and antimicrobial susceptibility profiles of ESBL-producing Klebsiella Pneumoniae from broiler chicken farms in Shandong Province, China.
- DOI:
10.1016/j.psj.2022.102002 - 发表时间:
2022-09 - 期刊:
- 影响因子:4.4
- 作者:
Zixuan Li;Li Xin;Chong Peng;Cong Liu;Peng Wang;Lanping Yu;Mengda Liu;Fangkun Wang - 通讯作者:
Fangkun Wang
Cong Liu的其他文献
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{{ truncateString('Cong Liu', 18)}}的其他基金
Collaborative Research: CSR: Medium: MemDrive: Memory-Driven Full-Stack Collaboration for Autonomous Embedded Systems
协作研究:CSR:媒介:MemDrive:自主嵌入式系统的内存驱动全栈协作
- 批准号:
2312397 - 财政年份:2023
- 资助金额:
$ 1.01万 - 项目类别:
Continuing Grant
RUI: Relationship crafting after workplace ostracism in racial minority employees: The role of autonomic arousal, emotions, and cognitive attributions
RUI:少数族裔员工在工作场所受到排斥后的关系塑造:自主唤醒、情绪和认知归因的作用
- 批准号:
2243983 - 财政年份:2023
- 资助金额:
$ 1.01万 - 项目类别:
Standard Grant
CNS Core: Small: Towards Timing-Predictable Autonomy in DNN-driven Embedded Systems
CNS 核心:小型:在 DNN 驱动的嵌入式系统中实现时序可预测的自主性
- 批准号:
2300525 - 财政年份:2022
- 资助金额:
$ 1.01万 - 项目类别:
Standard Grant
CAREER: D3: Addressing Emerging Data-Induced Challenges in Embedded and Real-Time Systems
职业:D3:解决嵌入式和实时系统中新出现的数据引发的挑战
- 批准号:
2230968 - 财政年份:2022
- 资助金额:
$ 1.01万 - 项目类别:
Continuing Grant
Collaborative Research: CPS: Medium: Timeliness vs. Trustworthiness: Balancing Predictability and Security in Time-Sensitive CPS Design.
协作研究:CPS:中:及时性与可信度:在时间敏感的 CPS 设计中平衡可预测性和安全性。
- 批准号:
2230969 - 财政年份:2022
- 资助金额:
$ 1.01万 - 项目类别:
Standard Grant
CNS Core: Small: Towards Timing-Predictable Autonomy in DNN-driven Embedded Systems
CNS 核心:小型:在 DNN 驱动的嵌入式系统中实现时序可预测的自主性
- 批准号:
2135625 - 财政年份:2022
- 资助金额:
$ 1.01万 - 项目类别:
Standard Grant
Collaborative Research: CPS: Medium: Timeliness vs. Trustworthiness: Balancing Predictability and Security in Time-Sensitive CPS Design.
协作研究:CPS:中:及时性与可信度:在时间敏感的 CPS 设计中平衡可预测性和安全性。
- 批准号:
2038727 - 财政年份:2021
- 资助金额:
$ 1.01万 - 项目类别:
Standard Grant
CAREER: D3: Addressing Emerging Data-Induced Challenges in Embedded and Real-Time Systems
职业:D3:解决嵌入式和实时系统中新出现的数据引发的挑战
- 批准号:
1750263 - 财政年份:2018
- 资助金额:
$ 1.01万 - 项目类别:
Continuing Grant
CSR: Small: Predictable Real-Time Computing in GPU-enabled Systems
CSR:小型:支持 GPU 的系统中的可预测实时计算
- 批准号:
1527727 - 财政年份:2015
- 资助金额:
$ 1.01万 - 项目类别:
Standard Grant
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