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We obtain the optimal allocation proportions for the following two optimization problems: (1) maximizing the power of the test of homogeneity with a fixed sample size, and (2) minimizing the expected weighted number of failures with a fixed power.
To fully understand power management in extreme scale systems with a fixed power budget, we introduce a power-performance modeling tool named PuPPET (Power Performance PETri net).
Thanks to the complementary outputs, an adaptive threshold decision implemented using balanced receivers is employed to perform binary encoding, instead of a fixed power ratio threshold of 0.5, leading to an improvement in the receiving sensitivity.
This problem, in some sense, is the dual problem of the sum rate maximization under a fixed power constraint.
If a distributed approach is adopted, the femtocells in a virtual cluster is non-collaborative with a fixed power budget.
Consequently, as the bandwidth increases, the interference to the PU band increases, within a fixed power budget.
Under a fixed power, a larger sampling rate means less energy per sample, which might degrade the system performance.
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When operating as CHP, the power generation is connected to the heat production through a fixed power-to-heat ratio as defined by (7) where (Q_{g,t}^{m1}) is the heat generation of the unit in CHP mode.
Note that for a fixed power constraint, the system capacity becomes constant because the interference introduced to the PU using the fixed power budget is less than the interference threshold.
Some birders always prefer a fixed-power (usually 30x wide-angle) eyepiece, while others (including yours truly) find a high-power zoom eyepiece indispensable for tough distance birding situations such as hawk watching, sea watching, or sorting through shorebirds on a mudflat.
The remaining trials (n = 5) employed a fixed-power TTE exercise protocol with low ecological validity [24, 33, 76, 77].
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