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The optimum solution is used for rendering (e.g. texture size, canvas resolution) and simulation parameters (e.g. simulation domain) in the update phase.
If there is raw sensor information for that timestamp, it runs the update phase.
The use of Kalman filters requires the selection of underlying linear models for the update phase.
The gradual decrease in the normalized resistance of synaptic connections between firing neurons during the update phase can be observed.
The main purpose of the update phase is to modify the existing authentication entities to increase the degree of unpredictability in the authentication process.
The update phase is critical, in order to allow the algorithm to adapt to lighting changes; it also plays an essential role in the initial construction of the background model.
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We divided the mechanism into two phases; the initialization phase and the updating phase.
The initialization phase should be very short compared to the updating phase.
The performance of the updating phase with different and is investigated in Section 6.1.2.
Table 1 Quantitative comparison of expected energy emission for the updating phase: IEEE 802.11.
For the updating phase, we need to find the optimal to use in (5).
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