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In this section, we first provide basic concepts related to trust evaluation in Section 4.1.
We undertake a thorough performance evaluation in Section 6, and finally, Section 7 concludes our work.
For our evaluation in Section 4, we simply used larger weights where local SNR is high as.
Section 4 gives the details of design choices and implementation of PeerSharkPeerShark, followed by its evaluation in Section 5.
Our evaluation in Section 6 indicates that our DVFS strategy for RSPs can reduce energy consumption significantly, even down to half of the non-regulated one.
An evaluation of the measurement accuracy of a ToF (Kinect V2) and a structured light camera (RealSense R200) conclude the evaluation in Section 4.5.
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Several main ideas and their related technical details are presented in Section 5. We show MPI implementation and its performance evaluation in Sections 6 and 7, respectively, Section 8 concludes the paper.
This is followed by prototype-based performance evaluations, in section (Solution validation).
Along with the bound for first-order AR models in (36), it serves as a benchmark in the numerical evaluations in Section 5.
It serves as a benchmark in the numerical evaluations in Section 5. Initially, we present a simplified analysis of a toy example, in order to help the understanding of the benefit from pilot sequence hopping.
The following description is independent of the actual choice of the nonlinearity basis functions f b, as long as f b are time-invariant (Legendre polynomials will be employed for the evaluations in Section 5).
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