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MRI: Development of the CyberCANOE- a Cyber-enabled Collaboration Analysis Navigation and Observation Environment

MRI: Development of the CyberCANOE- a Cyber-enabled Collaboration Analysis Navigation and Observation Environment
MRI:Cyber​​CANOE 的开发——基于网络的协作分析导航和观察环境
批准号:
1530873
负责人:
Jason Leigh
金额:
$60.0万
依托单位:
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 2020-08-31

项目摘要

项目成果

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中文摘要
翻译
该项目开发的CyberCANOE(网络协作分析导航和观测环境)旨在作为目镜,为研究人员提供强大且易于使用的信息丰富的仪器,以支持网络基础设施支持的数据密集型科学发现。CyberCANOE将为用户提供在完全无缝的显示环境中看到2D和3D立体内容的能力,分辨率接近5000万像素。CyberCANOE提供了一种独特的替代方法,通过使用全新的、完全无缝的直接视图发光二极管显示器,而不是传统的投影技术或液晶显示器,来构建超分辨率显示环境。净效果是一种视觉工具,它超越了当前同类最佳系统的能力和局限性,例如EVL的CAVE2和加州大学圣地亚哥分校CALIT2的WAVE。46名研究人员、28名博士后、833名本科生、45名研究生,涵盖了海洋学、天体生物学、数学、计算机科学、电子工程、生物医学研究、考古学和计算媒体等学科,他们已经准备好使用CyberCANOE来满足他们对大规模数据可视化的需求。该仪器在数据密集型分析和可视化、人机交互和虚拟现实的交叉领域为计算机科学研究开辟了新的机会。它使夏威夷大学马诺阿分校(UHM)的高级可视化和应用实验室(LAVA)能够为EPSCoR和夏威夷原住民服务机构提供最先进的设备、机会和监督,以加强本科生和研究生的研究和教育;为科学界提供高度集成的视觉丰富的协作环境;与业界合作,推动创新科技,推动科学及工程的发展;并继续与学术界和工业界许多世界上最好的领域科学家和计算机科学家进行持续的合作,他们很容易成为新仪器的早期采用者,并为学生提供暑期实习和毕业后的工作。
英文摘要
This project, developing CyberCANOE (Cyber-enabled Collaboration Analysis Navigation and Observation Environment), aims to serve as an eyepiece, providing researchers with powerful and easy-to-use information-rich instrumentation in support of cyberinfrastructure-enabled data-intensive scientific discovery. CyberCANOE will provide users with the ability to see both 2D and 3D stereoscopic content in a completely seamless display environment with almost 50 Megapixels of resolution.CyberCANOE provides a unique alternative approach to constructing ultra-resolution display environments by using new and completely seamless direct view Light Emitting Diode displays, rather than traditional projection technologies or Liquid Crystal Displays. The net effect is a visual instrument that exceeds the capabilities and overcomes the limitations of the current best-in-class systems such as the CAVE2 at EVL and the WAVE at CALIT2 at UC San Diego. Immediately 46 researchers, 28 postdocs, 833 undergraduates, 45 graduate students spanning disciplines that include Oceanography, Astrobiology, Mathematics, Computer Science, Electrical Engineering, Biomedical Research, Archeology, and Computational Media are poised to use the CyberCANOE for their large-scale data visualization needs. The instrument opens up new opportunities in computer science research at the intersection of data-intensive analysis and visualization, human-computer interaction, and virtual reality. It enables the Laboratory for Advanced Visualization and Applications (LAVA) at the University of Hawaii at Manoa (UHM), to provide an EPSCoR and Native Hawaiian Serving Institution, with state-of-the-art equipment, opportunities, and supervision to enhance undergraduate and graduate research and education; to provide scientific communities with highly integrated visually rich collaboration environments; to work with industry to facilitate the creation of new technologies for the advancement of science and engineering; and to continue ongoing partnerships with many of the worlds best domain scientists and computer scientists in academia and industry, who readily become early adopters of new instrumentation, and who provide students with summer internships and jobs upon graduation.
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RAPID: Evaluation of an Artificial Intelligence-enhanced Edge Sensor System for Multi-Hazard Monitoring and Detection
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  • 资助金额:
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  • 项目类别:
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