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A non-invasive example of biometric system can be a system which executes the verification and identification based on facial features.
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Naturally, the arbitrator will need to have access to the message (h(n 1),…,h(n α ),s A (h(n 1)|…|h(n α )) to execute the verification algorithm.
Therefore, it is needed to execute the experimental verification for the design results of the double tube GLHE for long term period to prove the reliability of the system.
To execute the new verification algorithm, the arbitrator will need to have access to k, given by Bob, as well as to h k), s B (h k))), (E_{Pu_{i}} k phantom {dot {i}!}) e (phantom {dot {i}!}s_{B}(E_{Pu_{i}} k))). Access to all α public keys and α private keys generated by Alice is also necessary.
The floating-point and fixed-point models of the DUV are written in MATLAB and hence can be executed directly from within the verification framework.
The end point of the dashed line indicates the verification module executed by the robot receiving the communication.
The verification is executed simply and efficiently by forming the foremost journeys tree for each node in the network using the algorithm for a single node proposed in [4], whose complexity is (O(mathcal{M} (log{mathcal{T}} + log{mathcal{N}}))).
If the verification engine is executed for the implemented model, then it finds a particular initial condition that leads the system to a limit cycle.
The verification protocol to be executed by the arbitrator is the following: ■■■ Verification protocol to guarantee distinct fingerprints 1.
The verification protocol, to be executed by the arbitrator, for identifying a fingerprinted version (f tilde {n})) is the following: ■■■ Basic verification protocol 1.
Although based on a reusable generic-purpose simulation infrastructure layer, the FES has been customized for the verification campaign to be executed with the Airbus benchmark model.
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