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Let (kappa _{i}^) be the optimal packet combination that device i can generate in the nth transmission.
CHa sends its nonce and MAC calculated on ICK to PS i so that PS i can generate both keys, ICK, and Knet.
The set of all feasible packet combinations that device i can generate is represented by the set of maximal cliques in (mathcal {G}_{i}).
According to Lemma 1, the set of feasible packet combinations that device i can generate is represented by the set of maximal cliques in (mathcal {G}_{i}).
In order to reach the optimal solution to the optimization problem (3), the optimal packet combination that an arbitrary device i can generate in the nth transmission is first derived, i.e., the optimal solution to the following problem: (14).
In other words, the optimal packet combination (kappa _{i}^) that device i can generate in the nth transmission is the maximum weight clique in (mathcal {G}_{i}) in which the weights of vertices are defined in (15).
Similar(39)
In contrast, simulated evolution seems to help SMURFLite most on those structural motifs where the HHPred NEFF is lowest; i.e. it can generate diverse training data when diverse training data is lacking.
The evaluation of generator performance showed that it meets expectations, i.e., that it can generate electrical power for 100 LED lights and charge the battery.
NR: Yeah, I think long term it can generate revenue.
Given channels' parameters (μ i, λ i ), we can generate all channels' states and simulate the SS-SA strategy for different Ts.
Therefore, the probability that a participant p ∈ g i j can generate valid trapdoors for (j - l th session is 1 - η(n), where p ∉ g i j - l and 0<< l < j.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com