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The derived performances are used to estimate buffer capacity for a shredding unit in a recycling plant, where discarded items (white goods) are of random size.
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Based on analytically derived performance models, our evaluation with representative workloads show that offloading processing and performing point-to-point data communication improve performance over centralized architectures.
The curve of the analytically derived performance is lying in between these two.
Moreover, the simulation results matched those from numerical analyses using the derived performance indices.
The derived performance metrics depend on the number of hops and the constituent distributions.
Analytically derived performance results indicate a potential capacity gain when introducing multihop communication.
In addition to the analytically derived performance of the preamble structure, the core algorithms are evaluated based on simulations.
Numerical examples confirm that the derived performance metrics obtained with the PHY-MAC-DLC analytical model faithfully reproduce simulation results.
In terms of practical and political implementation, we also defined theory-based desired levels, from which we derived performance rates.
Finally, to obtain a broadly derived performance measure all 16 amino acid descriptor sets were ranked based on their performance per dataset per experiment per validation parameter.
We compare the three MAC protocols (i.e., ASO-TDMA, SO-TDMA, and CS-TDMA) in terms of CRs and delays by using the derived performance parameters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com