One task expected for the 21st century is that when designing a system S, the fact will be respected that in it an information processing component C will exist, influencing the other components of S. In case C is intended to simulate (using a simulation model m), the simulation model used during the design of the system has to contain m.
In this section, we evaluate the performance of the proposed scheme by using a simulation model; a simulation analysis allows a complex realistic modeling.
The results of the FJA and time study are also used as inputs to compare different staffing scenarios using a simulation model, implemented in Simio simulation software, Version 7. The OptQuest tool in Simio is used to generate and compare various staffing scenarios using staffing cost and staff utilization as performance measures.
In Additional File 1, we describe several simulation studies that use a single edge simulation model.
Computer based simulations are performed using a simulation software for modelling a house and its thermal behaviour over a year.
The discrepancy in the distribution of HPV types detected by each of the specimen types was assessed using a simulation test using 1000 simulations as described in Cuschieri et al.[ 12].
Data on the primary dependent variable of alcohol consumption will be analysed using a 2 (mental simulation: mental simulation vs. no mental simulation) × 2 (self-control training: challenging vs. easy) factorial between-participants analysis of covariance (ANCOVA) with alcohol consumption at follow-up as the dependent variable and baseline alcohol consumption and trait self-control as covariates.
The effectiveness of the proposed algorithm is verified by real-time simulations using a cyber-physical simulation platform, as a co-simulation between the SMT supported electric power system model and underlying ICT infrastructure.
For simplicity, all of the simulations used a 100,000 day simulation interval in order avoid a need to change the simulation interval for different simulations.
This model is verified by our simulations using a delayed stochastic simulation algorithm, which accurately reproduces the stochastic kinetics in a recent experimental study.
A multi-level, multi-faceted approach needs to be applied to study these traits in lentil involving simulation studies using a mechanistic crop simulation modeling and physiological screenings.
