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Fig. 6 Controller process model.
This controller process the beam location information from a static linear map of a 2D plane: Optoelectronic Position Detector (OPD), as observer, and generate the necessary control outputs to steer the beam using piezo-electronic actuators: Fast Steering Mirror (FSM).
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The proactive controller processes two inputs.
The proactive controller processes the HoL delay whereas the reactive controller processes the QoS violation.
More effective movement resulted from these hybrid controller processes.
When the neighbour controller processes a packet, it first executes the Neighbour Monitor before passing it to the Neighbour Filter Engine.
The controller processes the signal and enables the motion of wheelchair for its navigation.
Through hybrid controller processes, the optimal angle and velocity of a robot moving in a work space was determined.
The neural controller processed the beam pointing (beam location) information obtained from an opto-electronic position detector (OPD) and then generated the necessary control outputs to the fast steering mirror (FSM) to steer the beam in the counter-direction to mitigate the beam wander at the receiver station.
The data is captured using custom software created using openFrameworks and openKinect, adapted in real-time using a MIDI controller, processed by Meshlab, fed into a Rapman 3.1 3D printer and printed right before the individual's eyes in what amounts to a modern-age hybrid of the street performance and souvenir portrait experience.
CytoSolve's Controller processes the input and output streams across all models, as discussed in the " Computational Methodology" section to link and dynamically integrate solutions across all models to yield solutions for temporal changes in species concentrations.
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