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This new geochemical and mineralogical data set for the conterminous United States represents a major step forward from prior national-scale soil geochemistry data and provides a robust soil data framework for the United States now and into the future.
Originally launched in 1994 in response to a government act that made the establishment of a coherent data framework for HE essential, it is currently the focus of a major redevelopment and upgrading project which is intended to use advances in information technology to enable 'richer data processes' and 'raise expectations about what data can do' (Youell, 2017).
It is the extension of these simulation models set against a backdrop of a proposed big data framework for food security, where this study sets avenues for future research for others to design and construct big data research in food supply chains.
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This paper establishes a general sampled-data framework for robust output synchronization of nonlinear heterogeneous multi-agent system in the lower-triangular form.
This paper critically examines the results of the first phase of work to construct a national energy efficiency data-framework for the domestic sector focusing on two specific issues: (a) drivers of domestic energy consumption in terms of the physical nature of the dwellings and socio-economic characteristics of occupants and (b) the impact of energy efficiency measures on energy consumption.
According to the characteristics of the CAE Computer-Aideddatagineering) data, a framework for data preparation is developed based on object-oriented programming concepts.
Although Hadoop has become the most popular data management framework for parallel data-intensive computing in the clouds, the Hadoop scheduler is not a perfect match for the cloud environments.
To address this gap in practice and research, the aim of this study includes presenting a data integration framework for fusing projects data using GIS.
As we mentioned, this edge-focused study provides a general data integration framework for static network information and dynamic expression data.
Therefore, in this paper, we propose an efficient data processing framework for mining massive trajectory data.
a data hiding framework for managing privacy information which can support any kind of video modification.
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