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With our enhanced simulator, we were able to perform more extensive simulations in larger-scale realistic topologies, thereby presenting more substantial support for the convergence and fairness results.
A series of efficient measures are investigated and utilized to rationalize the enhanced simulator, in terms of ephemeris data selection, space ionospheric model and range rate calculation, etc.
Such an enhanced simulator has been facilitating our current work for designing a space integrated GPS/inertial navigation system (INS) navigation system.
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In this paper, we present the PolyMAX module which enhances network simulator 2 (ns-2), the most popular network simulator used in academia, to provide one of the most complete simulation tools to evaluate the performance of Mobile WiMAX networks.
It is based on an improved version of ISBJava (Ramsey et al., 2005), including new simulator interface, enhanced visualization for simulation results and support for exporting and importing SBML level 2 version 1 file.
In order to scale the simulation from micrometric settings, with timescale in the order of seconds, to real experiments lasting tens of minutes with millimetric size, we enhanced the BiNS2 simulator by introducing a space partition algorithm based on the octree.
It is also possible that, in this novice population, elements of the traditional training were more important than those enhanced by the simulator training.
A physically-based multipath simulator was enhanced to investigate the differences between parameter retrievals for the L2C and the L5 GPS signals.
The photocatalytic activity of Fe, N co-doped TiO2 for degradation of indigo carmine dye (ICD) under solar simulator was enhanced as compared to TiO2 P25 and N TiO2.
On top of this, a proof-of-concept management architecture was developed and evaluated, using both a modified network simulator and enhanced Linux prototype routers.
Recent evidence 8 11 suggests that clinical care provided to children can be enhanced with targeted simulation training, using child-like human patient simulators.
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