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The average decreased data rate is denoted as g R (t b ).
By carefully balancing the decreased energy consumption and the decreased data rate, the optimal beaconing interval can be found.
We denote (widehat {f_{R}}(t_{a})) as a measure of the degree of satisfaction for the decreased data rate.
In this paper, we introduce a satisfaction degree based on the Sigmoid function to combine the decreased energy consumption and the decreased data rate effectively.
Diffusion weighted imaging (DWI) also showed hyperintensity areas, which corresponded with T2-weighted imaging, and apparent diffusion coefficient (ADC) was decreased (data not shown).
We also introduce a satisfaction degree based on the Sigmoid function to combine the decreased energy consumption and the decreased data rate.
We introduce a satisfaction degree based on the Sigmoid function to combine the decreased energy consumption and the decreased data rate effectively.
It was observed that catalytic upgrading resulted in an increased gas yield, levoglucosan was decomposed completely, and the amount of carbonyl-containing species was decreased (data not shown).
Decreased data quality over time is clearly a concern for ERT implementation as a long-term monitoring strategy and deserves further study to quantify the responsible mechanisms.
Since ξ affects the decreased energy consumption f E (t a ), and ω is related to the decreased data rate f R (t a ), the value of f X is affected by them.
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Thus, the use of RPs greatly decreases data collection delay.
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