Sentence examples for processing of the model from inspiring English sources

Details of the design, construction, instrumentation, testing and data processing of the model bridge are described.

The fourth task, performed in Optimisation, is to distribute processing of the model among cores of multiple PCs, one core for each matrix.

The processing of the model is as follows: six degrees of freedom of hinge mounting point are constrained; the rotational degree of freedom between two parts of door hinges is released, the initial speed of adult head dummy is 40 km/h, surface-to-surface contact is set between the head dummy and the interior trimming panel.

The processing of the model is as follows: six degrees of freedom of the hinge mounting point are constrained, the rotational degree of freedom between two parts of the door hinges is released, the initial speed of the adult head dummy is 40 km/h, and surface-to-surface contact is set between the head dummy and the airbag.

This processing of the model was particularly necessary to avoid combinatorial explosion in the number of elementary flux modes with an increase in the number of considered reactions [ 17, 18].

Post-processing of the model outputs yield a neurogram, analogous to a spectrogram with time-frequency color intensity representation related to neural firing activity.

Our creations approach or exceed our capabilities in areas long believed to be uniquely human: deduction, recall, reasoning, pattern recognition, the processing of language, the modelling and prediction of the world.

Based on previous findings, we focused on the processing dimension of the model.

It allows the model user to intuitively observe the information processing state of the model during simulation, and conveniently compare the simulated human performance and mental workload for different designs.

In the processing hierarchy of the model, V1Model is representing raw and rather noisy estimates of the optic flow with a very high spatial resolution that are integrated in MTModel leading to more reliable estimates, but reduced spatial accuracy.

The key objective for this study is to investigate whether in a computational model of reading that uses a single mechanism to process words and nonwords it is possible that a differential effect of word length may emerge within the visual processing stage of the model.