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The generic model and the library-based implementation allow new patterns to be defined and included into the system.
Many simulation experiments conducted with single and multi-core system architecture implementation, allow obtaining results that prove advantages of the presented model.
The resulting gains in execution time due to the parallel implementation allow the use of high fidelity analysis procedures based on the Finite Element Method in the optimization of composite laminate plates and shells.
Results from both experiments show that the proposed concept, design, and implementation allow to effectively exploit the complementary natures of the "proximal" haptic modality and the "distal" auditory modality.
The 8-th order polynomial model, however, provided an excellent fit, given the sampling rate of 10 kHz and the mean duration of EPSCs of ∼14 ms. While our method and its software implementation allow the user to change the order of the model, choosing polynomials of higher order may result in overfitting.
These improvements in the FARMS implementation allow for making a better comparison of those methodologies and enable the user to change the model selection according to the purpose of the data analysis.
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Our round implementation allows decoupling timeout modification and leader change.
This implementation allows simulating the time-dependent behaviour of rubber components under arbitrary transient loading histories.
Our parallel implementation allows communications and computations to be overlapped and requires minimal global synchronization.
Moreover, the proposed model implementation allows for a thorough analysis under different environmental conditions.
The current implementation allows to administer IRT-based CAT usable with dichotomous or polytomous items.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com