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Smart Environments Research Facility

Smart Environments Research Facility
智能环境研究设施
批准号:
EP/T024593/1
负责人:
Fiona Lettice
金额:
$12.7万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
翻译
该多功能设备请求将有助于UEA的智能环境研究设施,并建立在UEA计算科学学院内面向EPSRC的研究基础上,并在英国工业战略的3个重大挑战的背景下提出,即(i)人工智能和数据,(ii)老龄化社会和(iii)移动性的未来。所要求的设备将加强实验室设施,直接支持来自计算机学院(CMP)的既定和早期职业研究人员和博士生的研究活动,并支持与诺维奇医学院(MED)和环境科学学院(ENV)联系的项目。所要求的设备将使研究人员能够进一步发展和利用他们的研究与组织,如图灵,英国电信,Quadram研究所和其他与现有EPSRC研究赠款相关的机构,并使他们能够进一步开发新的国际领先的EPSRC提案。一个附加值将是促进共同努力议程,以支持与EPSRC-NERC和EPSRC-BBSRC联合合作有关的研究。此外,我们还将瞄准EPSRC-科学基金会爱尔兰联合项目下的机会。所要求的设施将使我们能够进行更复杂的实验,这些实验需要增加多核计算、存储和更高速的网络连接,以生成更高质量的数据,并进一步了解算法性能和原型模型。我们在学校的五个研究实验室小组将受益如下,并在所附的支持和附录的情况下提供进一步的例子。
英文摘要
This multifunctional equipment request will contribute to a Smart Environments Research Facility at UEA and builds on EPSRC-facing research within the School of Computing Sciences at UEA and is made in the context of 3 of the Grand Challenges of the UK Industrial Strategy, namely (i) artificial Intelligence and data, (ii) ageing society and (iii) the future of mobility. The equipment requested will enhance the laboratory facilities in direct support of the research activities of established and early-career researchers and PhD students from across the School of Computing (CMP), and in support of projects linking with Norwich Medical School (MED) and the School of Environmental Sciences (ENV).The equipment requested will enable the cohort of researchers to further develop and leverage their research with organisations such as Turing, BT , Quadram Institute and others linked to existing EPSRC Research Grants and position them to further develop new internationally leading proposals to EPSRC. A value add will be promotion of the Working Together agenda in support or research linked to joint EPSRC-NERC and EPSRC-BBSRC collaborations. In addition, we will also target opportunities under the joint EPSRC-Science Foundation Ireland Programme.The facilities requested will enable us to generate more complex experiments that require increased multi-core compute, storage and higher speed network connections to generate better quality data and further our understanding of algorithmic performance and prototype models. Our five research laboratory groups in the School will benefit as follows and further examples are provided in the attached Case for Support and Appendices.
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Core Carbonate Chemistry Equipment
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  • 项目类别:
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  • 财政年份:
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  • 项目类别:
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  • 资助金额:
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  • 负责人:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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海外基金