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CC*DNI Networking Infrastructure: Data Driven Research-Wise Network Infrastructure Upgrade ("DaRWiN")

CC*DNI Networking Infrastructure: Data Driven Research-Wise Network Infrastructure Upgrade ("DaRWiN")
CC*DNI 网络基础设施:数据驱动的研究型网络基础设施升级(“DaRWiN”)
批准号:
1541455
负责人:
Sejun Song
金额:
$50.0万
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
项目状态:
已结题
起止时间:
2015-09-01 至 2018-08-31

项目摘要

项目成果

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中文摘要
翻译
数据驱动的研究智慧型网络基础设施升级(达尔文)项目升级了密苏里大学堪萨斯城分校的网络基础设施和外部连接,以显著满足未来五到七年科学和工程的研究和教育需求。该项目i)将大学两个物理位置之间的连接增强到超高速100Gbps主干,ii)将核心研究建筑之间的连接升级到10Gbps高速光纤链路,以及iii)建立专门的10Gbps连接,用于研究与外部区域实体的连接,从而扩大多个学科之间现有的研究合作并培育新的机会。该项目为解决多个科学和工程领域的各种单学科、跨学科和多学科问题提供了一个增强的平台。该项目特别协助和推动了以下研究活动:端到端校园网性能管理、大数据移动服务研究、化学指纹与测序研究、计算物理与电子结构研究、人体平衡与行走研究。该项目广泛地影响了整个大学的跨学科研究和教育,包括研究生和本科生。
英文摘要
The Data Driven Research-Wise Network Infrastructure Upgrade (DaRWiN) project upgrades the network infrastructure and external connectivity at the University of Missouri-Kansas City to significantly address research and educational needs of science and engineering for the next five to seven years. This project i) enhances the connectivity between the two physical locations of the university to an ultra-high-speed 100 Gbps backbone, ii) upgrades the connectivity among the core research buildings to 10 Gbps high speed optical links, and iii) establishes dedicated 10 Gbps connections for research to external regional entities that amplifies existing research collaborations among multiple disciplines and foster new opportunities. This project provides an enhanced platform for solving a variety of single-, inter-, and multi-disciplinary problems across several fields of science and engineering. The project particularly assists and promotes the following research activities: end-to-end campus network performance management, large data movement service research, chemical fingerprinting and sequencing research, computational physics and electronic structure research, and human balance and ambulation research. The project broadly impacts both interdisciplinary research and education throughout the university at both the graduate and the undergraduate level.
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PFI-TT: Crowd-based Alert and Detection Service to Increase the Safety of People with Special Needs
  • 批准号:
    2141131
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.97万
  • 财政年份:
    2022
  • 负责人:
    Sejun Song
  • 依托单位:
I-Corps: Light Emitting Diode-based Smart Cue
  • 批准号:
    1810832
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2018
  • 负责人:
    Sejun Song
  • 依托单位:
海外基金