path determination

path determination

In a network router or switch, the processing that determines which output port the incoming packet or frame is diverted to.
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Automatically calculating indoor location and correlating with radio signal data, eliminating manual check-ins, Removing data recording errors caused by incorrect location estimates in complex buildings through automatic indoor path determination, Providing continuous logging of data with a high density of data points, including within typically difficult to map stairwells, elevators, and tunnels, Supporting rapid analysis of signal coverage with 3D visualization and easy export of time-stamped data, With this new TRX-Cobham solution, it is possible to collect accurate, actionable data in every part of a building.
Therefore, the critical path determination problem is formulated as a multi-objective problem.
A goal programming based approach is then developed to solve the multi-objective uncertain critical path determination problem.
A vision based algorithm used for path determination of autonomous vehicles is described by (Hoover & Olsen, 1999).
An individual's healing path determination is "open and flexible," said Shoefly, and the focus is on "motivation, acceptance, responsibility, and accountability.
For example, more sophisticated path determination algorithms fed by information from vision systems will extend the distance at which potential collisions can be identified, thus effectively offering a margin of safety at higher speeds.
It should be noted that the routines for flow path determination, optimization, and the updating of thicknesses are running as an external loop to the Moldflow software which simulates the injection process.
A unique function of COREcast is its real-time network analysis for best path determination and automated fail over.
How should these two path determination functions interact to optimize network performance?
o Automatic discovery of switch fabric and best path determination for ease of installation and support.
In the evolution of decision support, first comes descriptive statistics; then decision trees or expert systems; then warehouses with critical path determinations and disseminations based on best proven practices.