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 ?
Also, using similarity criteria of Froude, the liquid velocities, [u.
These are the relations that result from the similarity criteria.
A 1:3 scale physical model of tundish of Arcelor-Mittal Tubarao #2 continuous casting machine was built and operated under conditions determined on the basis of similarity criteria.
On the basis of similarity criteria discussed in the previous section, Froude number can be used to assess the water flow rate and other parameters on the basis of 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].
3, the existing approaches exploited by TSRM for term extraction, variant recognition and term similarity criteria are presented in more detail and, finally, in Sec.
In the following, we present the TSRM resources in more detail namely, a natural language processing approach for multi-word term extraction, the FASTR tool for term variants detection [7] and, finally, the term similarity measures which are inspired by the lexical and contextual term similarity criteria defined by the work of Nenadic et al.
6] term similarity, CLS, is defined as a linear combination measure of three similarity criteria, Lexical Similarity (LS), Contextual Similarity (CS) and Syntactic Similarity (SS).
These include Open Text's unique intelligent search capabilities that index and search on structural, proximity and similarity criteria, in addition to multi-level boolean Power Searches, prioritized Weighted Searches and Simple Searches for specific words or phrases.
The matching similarity criteria is normalized to a value between 0 and 1.
The total similarity criterion: Due to the different behavior of the above-mentioned four criteria during the determination of correspondences it is necessary to summarize these feature-specific similarity criteria in a combined total criterion (SM, Eq.