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REAct constitutes of three phases: (a) the audit phase, (b) the search phase and (c) the identification phase.
In the identification phase, the computing and rendering capabilities of the client device are evaluated using an exploratory proxy code.
In the identification phase, performance yield under both random and systematic variations is added as a constraint.
On the other hand, the tag's capacity drops only during UHF backscattering operations (i.e., responses to query commands during the identification phase).
At the identification phase two Hammerstein models are obtained, they are characterized by having a static non-linearity preceding a linear transfer function.
The identification phase is characterized by the division of the model into a linear and a non-linear part, resulting in a Hammerstein's model.
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In the risk identification phase, the risks that may affect the project objectives are identified and their characteristics are determined.
In the parameter identification phase, the backpropagation algorithm is employed, and proper linear transformation is also determined dynamically.
The IMPACT project aims to extend the scope of the hazard identification phase generally based on traditional failure analysis methods (i.e. FMEA, THERP) by integrating stakeholder expertise and applying resilience engineering approaches of safety management.
The proposed approach consists of a recursive parameter identification algorithm and an input signal design algorithm; where the latter provides D-optimal excitation signal for the adaptation of the parameter estimation in the following identification phase.
VE studies for safety learning were mainly focused on the risk identification phase of the risk management process.
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