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With the rise of multicore computing, Miller says, more consumers have machines with the capability to compute ray-tracing algorithms.
The results indicate that the artificial intelligence approach offers a high degree of correlation and its robustness and capability to compute GHV of any lignocellulosic fuels from its proximate analysis.
The toolkit has the capability to compute different parameters linked to shielding properties of the sample-material such that; mass attenuation coefficients, mass energy absorption coefficients (μen/ρ), equivalent atomic number (Zeq), KERMA (kinetic energy released per unit mass).
The major advantage of these correlations is their capability to compute elemental components of biomass materials from the simple proximate analysis and thereby provides a useful tool for the modeling of combustion, gasification and pyrolysis processes.
The experimental validation of the method on a five-degree-of-freedom lumped-parameter rig demonstrates its capability to compute effective modifications meeting the prescribed requirements and satisfying all the constraints.
The major advantage of this correlation is its capability to compute HHV of any fuel simply from its proximate analysis and thereby provides a useful tool for modeling of combustion, gasification and pyrolysis processes.
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In this paper, we propose a framework to capture a rich variety of query-processing capabilities, and present algorithms to compute the set of mediator supported queries based on the capability limitations of its sources.
Further, we demonstrate the capability of the proposed approach to compute the electronic structure of a metallic system containing 1688 atoms using modest computational resources, and good scalability of the present implementation up to 192 processors.
Clearly, the usage of systems like Hadoop, MapReduce, and MongoDB is becoming much more common with the healthcare research communities because of their capability to store and compute large volume of data [42, 43].
With its capability to store and compute large volumes of data, usage of systems such as Hadoop, MapReduce, and MongoDB [ 100, 101] is becoming much more common with the healthcare research communities.
But the SoftLayer acquisition will sharply expand I.B.M.'s capability to deliver computing services remotely to customers from I.B.M. data centers — the so-called public cloud model.
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