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This paper analyzes and optimizes the system parameters associated with this system.
Collaboration design optimizes the system at the level of collaborating primitive elements while detailed design optimizes those primitive elements themselves.
The tool optimizes the system as a whole, thereby taking into account interrelations between the supply components.
The first one, referred as system 4a, optimizes the system so that at least 10% of hits on training/development data are produced.
The HA-DVFS algorithm [26] optimizes the system performance and improves the energy utilization further based on the EA-DVFS algorithm.
The linear quadratic regulator (LQR) method, on the other hand, optimizes the system transient response and does not directly impose the location of the dominant poles.
Similar(46)
Multilevel redundancy allocation optimization problems frequently occur in optimizing the system reliability of multilevel systems.
A save-then-transmit protocol was proposed in [7,8] to optimize the system performance by finding the optimal save-ratio.
The paper proposes resource allocation algorithms that aim to optimize the system performance over the sum of the optimal user utility functions by employing the effective capacity theory.
Extracting (23) by using (24), the optimal transfer power at relay with the aim of optimizing the system throughput can be obtained.
A velocity threshold is used to optimize the system performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com