Similarity Criteria

Similarity Criteria

 

the necessary conditions for physical similarity of two phenomena—for example, phenomena experienced by an actual object and by a model of it. Similarity criteria consist in the equality of certain dimensionless quantities, called the characteristic numbers, for the phenomena in question. The numbers themselves are sometimes called the similarity criteria. Among them are the Mach, Reynolds, Prandtl, Strouhal, Euler, and Froude numbers.

References in periodicals archive ?
The similarity criteria is chosen from various properties such as mean, variance, texture, etc.
To simulate marble according to the similarity criteria, we adopt resin-based equivalent materials that are developed by Fan et al.
According to dimension's harmonious condition as well as [pi] theorem, 14 similarity criteria of independent dimensionless parameters can be listed in 3 categories:
If the above similarity conditions for simulation experiment are tenable, that is, the prototype experiment is physically similar to simulation experiment, the experiment results can be possible to achieve and meaningful parameters are the four similarity criteria of the 1st category; then
Also, using similarity criteria of Froude, the liquid velocities, [u.
These are the relations that result from the similarity criteria.
For the computation of similarity among multi-word terms, TSRM does not require any pre-existing domain knowledge resources (as it is typical in recent IR work [3,4,5]); it exploits current natural language processing research in establishing lexical and contextual term similarity criteria [6], while taking into consideration term variation phenomena [7].
Although the conjunction and the similarity criteria of homology are often met, congruence is the most discriminating criterion of the three.
The use of this procedure may lead to a conservative estimation of the frequency with which competitive interference occurs, given that interference effects have been observed in experimental research employing less stringent similarity criteria (e.
The matching similarity criteria is normalized to a value between 0 and 1.