Sentence examples for model can express from inspiring English sources

The model can express multidimensional signal processing systems and algorithms elegantly, and is able to reveal the data parallelism of such systems in a way that raises possibilities for better multiprocessor scheduling.

Superimposing the normalized fractal dimensional surface altitude field on the B-spline surface, the hybrid dimensional model can express the integral dimensional information of part surface in macro level, and the fractal dimensional detail in micro level.

This model can express the logical relations among the sub-processes of the services composition explicitly, and verify the correctness of the services composition using formalized methods of Coloured Petri Nets.

In addition, it has been observed that the linear build-up model can express the time dependent nature of the C s (Khanzadeh-Moradllo et al. 2012; Sadati et al. 2015).

Different from other methods, our model can express the relationship between the node influence and data transmission and depict the dynamic change of node importance by our model in wireless sensor network.

Neural networks and mathematical models can express explicitly that there will be no malaria transmission below a certain temperature.

A proper model that can express the key physical characteristics while considering limited computing power should be defined for the biped robot state estimation.

In this paper, the possibility of the cable loosening in a PC cable-stayed bridge is discussed by using a cable model that can express the cable loosening.

The small polymer electrolyte fuel cell (PEFC) was experimented by changing operation temperature and H2 and O2 concentration in supply gas, and the PEFC reaction characteristic model that can express these influences was created.

Additionally, the membership degrees offer a finer degree of detail of the data model and can express how a data point should belong to a cluster or not [16, 20].

This paper presents a visual language for trans-forming domain-models that can express the mapping between the meta-models of the “in-put†(i.e. the “old⠀language) and the “output⠀(i.e. the “new⠀language), and uses graph-rewriting techniques to transform the “old⠀domain-models into the appropriate “new⠀form.