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Z-DATA (Remote Big Data Rendering for Simulation)

Z-DATA (Remote Big Data Rendering for Simulation)
Z-DATA(用于模拟的远程大数据渲染)
批准号:
131489
负责人:
金额:
$6.37万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
翻译
Zenotech有限公司为民用、可再生能源和汽车工程创建并提供高性能计算仿真软件。云计算的进步可以通过按需付费的模式减少使用大规模计算的资本和前期费用——尤其是对小型公司而言。模拟软件生成大数据——从千兆字节到拍字节——因此其目标是高效地呈现云中的原始数据,并只发回所需的信息。关键是确定这些信息是什么,以及如何最好地向用户提供这些信息- -考虑到用户的作用、文化、获取方式、工业部门和规定的要求。该项目首次将Zenotech Ltd和创意设计专家Drop Dead design联合在一起。我们将通过对民用、可再生能源和汽车领域的最终用户的启发、开发和回放,开发一系列原型数据渲染设计。如果成功,这将通过现有服务和Zenotech有限公司的新产品线进一步开发原型设计。
英文摘要
Zenotech Ltd creates and delivers high-performance computing simulation software for civil, renewable energy and automotive engineering. Advances in cloud computing can reduce the capital and up-front expense in using large-scale computing – especially for smaller companies – with a pay-as-you-go on-demand model. Simulation software generates big data – from gigabytes to petabytes – so the aim is to efficiently and effectively render the raw data in the cloud – and send back only the information that is needed. The key is to determine what this information is, and how best to provide it to the user – with consideration of their role, culture, mode of access, industrial sector and stated requirement. This project brings together Zenotech Ltd and creative design specialist Drop Dead Design for the first time. We will develop a series of prototype data rendering designs through a process of elicitation, development and playback with end users in each of the civil, renewable energy and automotive sectors. If successful, this will lead to further development of the prototypes designs via existing services and a new product line from Zenotech Ltd.
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Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位: