The Siromoney matrix model is a simple and elegant model for describing two-dimensional digital picture languages. The notion of attaching indices to nonterminals in a generative grammar, introduced and investigated by Aho. is considered in the vertical phase of a Siromoney matrix grammar (SMG). The advantage of this study is that the new model retains the simplicity and elegance of SMG but increases the generative power and enables us to describe pictures not generable by SMG. Besides certain closure properties and hierarchy results. applications of these two-dimensional grammars to describe tilings, polyominoes, distorted patterns and parquet deformations are studied.

Simplicity

Closure (psychology)

Elegance

Polyomino

Matrix (chemical analysis)

10.1142/s0218001489000279

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Citations (20)

On Watson-Crick automata

K. G. Subramanian S. Hemalatha Ibrahim Venkat

Motivated by Watson-Crick automata, we introduce here a grammar counterpart called a Watson-Crick regular grammar that has rules as in a regular grammar but involves double stranded strings. The language generated by this grammar consists of strings in the upper strands of the double stranded strings related by a complementarity relation. We obtain some properties of these grammars and also indicate an application to generation of chain code pictures.

Watson

Complementarity (molecular biology)

10.1145/2393216.2393242

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Citations (11)

Collaborative Filtering Based On Search EngineLogs

International Journal of Innovative Research in Computer and Communication Engineering (2014)

Dr.A.Muthu Kumaravel K. G. Subramanian

Search engines come roughly equivalent results for an equivalent question, despite the user’s real interest. To extend the relevancy of search results, personalized search engines produce user profiles to capture the users’ personal preferences and intrinsically determine the particular goal of the input question. An honest user identification strategy is an important and elementary element in program personalization. The user identification ways area unit evaluated and compared with our antecedently projected personalized question cluster methodology. During this project, we tend to specialize in program personalization and develop many concept-based user identification strategies that area unit supported each positive and negative preferences. user profiles that capture each the user’s positive and negative preferences. Negative preferences improve the separation of comparable and dissimilar queries that facilitates associate agglomerate cluster rule to make a decision if the best clusters are obtained.

Identification

Personalized search

Source

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