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Moreover, we present a mesochronous adaptation method and propose Reconfigurable Mesochronous/Bi-Synchronous (RMBS) FIFOs.
Therefore, we want to use the S-partition method and propose S-type Z-eigenvalue inclusion sets for general tensors.
In Section IV, we derive the optimal antenna selection method, and propose new near-optimal selection method.
We discuss the relative advantages of each inversion method and propose guidelines for their proper use with unknown MWD functions.
Finally, we discuss some problems occurring when recovering the packets dropped during a handoff by the buffering method, and propose our solution.
In this article, we investigate major factors that influence the energy consumed in clustered multi-hop WSNs using the probabilistic cluster-head selection method and propose a novel energy model to correctly estimate the energy consumed in a network.
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Figure 11 Comparisons of CAPEX of the intuitive method, analytical method, and proposed method.
Figure 10 Comparisons of design metrics of the intuitive method, analytical method, and proposed method.
Figure 10 Performance comparison between the modeling method and proposed method.
Figure 11 Performance comparison between the modeling method and proposed method with varying delay thresholds.
Figure 13 Performance comparison between the modeling method and proposed method on realistic testbed.
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