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Prof Kypros Nicolaides studies the overhead monitor.
The second experiment studies the overhead of state preservation and access constraints.
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The paper [38, 39] studies the security overhead of aggregation in WIFI.
We further study how the overhead for collecting trajectory information varies with the changing amount of data size under different network sizes.
This article relies on studying the energy overhead of embedded OS adapting DVFS technique.
Finally, we study the communication overhead incurred in terms of hop counts during data retrieval.
In order to determine the most appropriate K factor, we conducted measures to study the energy overhead generated by different values for K. Let's take the example of the sequence [Mozilla, 20 mn-Word, 17 mn-VLC, 47 mn-2048, 7 mn].
However, few studies actually focused on the overhead, but more on the differences between the frameworks.
In our study, this overhead was just 6.375 s, while the recommendation to obtain visual ERPs is longer than 30 s (more than one sweep, each sweep containing 64 stimuli at a rate of two stimuli per second [29]).
The aim of this study is to identify the overhead introduced by ONDMs.
However, the study does not quantify the overhead directly, making a comparison difficult.
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