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# Game control features "Normal Mode" based on simulation engine and "Professional Mode" based on actual car behavior and physics.
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In order to predict the expected outcomes of varied amounts of sequencing effort using a blend of technologies, we developed a predictive model based on the simulation engine of ESTstat [ 24, 25].
Based on the simulation engine developed by Morris et al. (2005) and code (R and MATLAB) to generate simulated data proposed by Cruz-Marcelo et al. (2008) and Zhang et al. (submitted for publication), we also create two new simulated datasets to investigate noise affection on different algorithms.
Our results are purely based on simulations.
Subsequently, physics-based simulation capabilities based on game engine technology are used to model individual ECUs (electric motors, pneumatic drives, robots, etc). of the production system and the entire manufacturing process in a virtual 3D-CAE simulation environment.
Simulation results based on an engine failure scenario of the RCAM benchmark illustrate the potential of the proposed approach.
Data are based on Hib simulation model.
The decision to change the engine was based on engine weight and dimensions, as well as to environmental emission considerations.
Here the engine is modeled based on the engine maps from steady-state experiments.
To visualize the deactivated elements, a 3D simulation method of fragments based on a physics engine is proposed herein.
The GT108C 32 valve V8 engine was loosely based on the M119 engine used in Mercedes-Benz road cars at that time.
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