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Support for International Real-Time Systems Symposium (RTSS); December 5-8, 2004; Lisbon, Portugal

Support for International Real-Time Systems Symposium (RTSS); December 5-8, 2004; Lisbon, Portugal
支持国际实时系统研讨会 (RTSS);
批准号:
0450877
负责人:
James Anderson
金额:
$1.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-15 至 2005-08-31

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Anderson - RTSS Workshop abstractThe International Real-Time Systems Symposium (RTSS) is an annual symposium partially sponsored by the IEEE Computer Society. This year's symposium will takeplace in Lisbon, Portugal, December 5-8, 2004.This award provides support for student travel grants, and to partially fund the creating of an "anniversary DVD," which will contain the first 25 RTSS proceedings, as well as the .rst 10 RTAS proceedings. RTAS - the Real-time and Embedded Technology and Application Symposium - is a sister conference of RTSS that is also devoted to issues involving real-time and embedded systems. Since both conferences are marking milestone anniversaries this year, this is an appropriate time to look back at what has been accomplished in the area of real-time andembedded systems over the last 25 years.The travel grants enable approximately 20 young researchers in the ?eld of embedded and real-time systems to attend RTSS 2004. The DVD will help in disseminating the results of this year's symposium and will be a valuable research tool, as it will allow content searches to be conducted over all 35 stored proceedings. The DVD will also give young researchers direct access to many of the landmark papers in the area of real-time and embedded computing.
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CPS: Medium: GOALI: Enabling Safe Innovation for Autonomy: Making Publish/Subscribe Really Real-Time
Collaborative Research: Bridging the scale gap between local and regional methane and carbon dioxide isotopic fluxes in the Arctic
  • 批准号:
    2427291
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $80.56万
  • 财政年份:
    2024
  • 负责人:
    James Anderson
  • 依托单位:
Collaborative Research: Scalable & Communication Efficient Learning-Based Distributed Control
  • 批准号:
    2231350
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.0万
  • 财政年份:
    2022
  • 负责人:
    James Anderson
  • 依托单位:
CNS Core: Small: Budgets, Budgets Everywhere: A Necessity for Safe Real-Time on Multicore
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