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This work proposes novel configurations selection maps of four CTRC configurations for waste heat recovery of engines.
Pivotal hydrodynamic technical issues including configurations selection and a trade-off study of the AUH were analyzed with the RANS solver, including computed pressure distribution and comparison of different lengths of aquatic transducers mounted on the AUH for enhanced hydrodynamic performance.
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1) Antenna configuration selection: During this stage, the algorithm selects an optimal configuration J ∗ that yields the highest average ppSNR.
A key part of the MM is the Configuration Selection Algorithm (CSA), which is in charge of selecting a new full configuration from a given partial configuration.
In a previous work (Sanchez et al. 2013), we presented a heuristic search algorithm called CSA (Configuration Selection Algorithm 1 for solving the optimization problem resulting from selecting a valid configuration of a system based on feature models.
It is carried out in two main stages: 1) antenna configuration selection and 2) AMC selection.
This behavior is partly due to the necessary training required for the configuration selection.
This combinatorial optimization problem and the corresponding Configuration Selection Algorithm (CSA) are described in Section 2.3.4.
For these three different cases, we consider centralized and a distributed configuration selection schemes, discussed below.
Instead, each transmitter performs configuration selection to optimize individual link capacity.
We quantified the performance of these cases with both a Centralized and Distributed configuration selection scheme.
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