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Simply, the water drains down (not towards the rail as conventional dirt and turf tracks are designed) through the grass, supporting layers and finally into a sub-surface drain system.
Nevertheless, the beamforming vectors are designed through the quantized CDI of the selected HR users.
Then, new suboptimal receivers are designed through the use of the new PDF formulations and parameter estimates.
Then, the critic and action NN adaptive laws are designed through the standard gradient-based adaptation method.
The scenarios are designed through the modeling tool WaLA, which is implemented in Simulink/Matlab: it combines components representing the different technologies, users and resources of the UWS.
Using this scheme, the bulging rejection specifications are reformulated as a H∞ problem and the tuning parameters are designed through the particle swarm optimization approach.
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Finally, the tolerance of the components is designed through the calculation of distribution variance and mean.
The bridge was designed through the so-called Theory of the Ellipse of Elasticity.
The controller is designed through the use of a robust observer and backstepping technique.
The input matching network is designed through the technique of capacitive feedback matching network.
A high temperature superconducting (HTS) magnet by Bi-2223/Ag Bi-2223/Agsigned tapeugh the isprovedesigned GA.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com