To this end, we perform two simulation runs: First, we run the simulator with the proposed realistic uplink interference modeling, and measure some relevant performance metrics.
The results of this study show that by direct employment of Experimental Design methodology, one can get the accurate results with the least number of simulation runs instead of running the simulator numerous times or developing a proxy model.
Wolff works closely with the Williams engineers who are running the simulator and plan what they need to achieve from the session.
First, we run the simulator with the proposed realistic uplink interference modeling, and measure some relevant performance metrics.
The training of these surrogates depends on the set of design points chosen to run the simulator.
This work focuses on substituting a computationally expensive simulator by a cheap emulator to enable studying applications where running the simulator is prohibitively expensive.
We run the simulator for 106 clock cycles and compared the throughput of the MPSoC-based system with NIRA against the system with the 4 pipelined QAM instances, under the same number and type of faults.
To study the effect of these main uncertain parameters as well as to acquire the probabilistic production forecast, it is a good idea to use effective simulator runs to trap the whole uncertainty instead of running the simulator thousands of times with diverse entries for uncertain parameters.
The frequency of false-positive alarms of the HPA has been assessed by running the simulator under standard conditions with a meal at 5 00 p.m., starting the hypoglycemia prediction algorithms at 9 00 p.m. and running it until 7 00 a.m. the following morning before a breakfast meal.
Since, our GA strategy is based on a population of 80 individuals to be applied to 8 virtual mice for 150 generations, a run on a single CPU machine would require 8·80·150· T fit, where T fit is the time needed to evaluate the fitness function, i.e. to run the simulator.
