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Acquisition of Computational Steering Instrumentation

Acquisition of Computational Steering Instrumentation
收购计算转向仪器
批准号:
9512241
负责人:
Thomas Henderson
金额:
$88.89万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-09-01 至 1998-08-31

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中文摘要
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英文摘要
9512241 Henderson The proposed project is to acquire an SGI Power Onyx graphics engine front end, and a SGI Power Challenge computational engine for large-scale computational steering. Computational steering permits users to interactively change boundary conditions, model geometry, and computational parameters via a graphical user interface. It allows the visualization to guide or steer the design and computation phases of the simulation or computation. The computational steering model is applicable to a wide range of applications including medicine, genetics, image analysis, CAD/CAM, telerobotics, and virtual reality. Software is being developed in different application areas to "close the loop" to replace the typical simulation model in which the user manually sets input parameters, computes results, stores data, visualizes the results via a separate visualization package, and then starts again at the beginning. The proposed equipment will permit interactive modeling and scientific visualization supported by parallel computational systems. ***
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EAGER: Robust Reasoning using a Geometric Approach to SAT and PSAT
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    2152454
  • 项目类别:
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  • 资助金额:
    $9.92万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
CCRI: ENS: Collaborative Research: ns-3 Network Simulation for Next-Generation Wireless
  • 批准号:
    2016379
  • 项目类别:
    Standard Grant
  • 资助金额:
    $96.27万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
Developing an Industrial Maintenance Technician Pathway to an Advanced Technology Degree
  • 批准号:
    2000841
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.67万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
CI-ADDO-EN: Frameworks for ns-3
  • 批准号:
    0958139
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $59.0万
  • 财政年份:
    2010
  • 负责人:
    Thomas Henderson
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data