A New Computational Schema for Euphonic Conjunctions in Sanskrit Processing

Automated language processing is central to the drive to enable facilitated referencing of increasingly available Sanskrit E-texts. The first step towards processing Sanskrit text involves the handling of Sanskrit compound words that are an integral part of Sanskrit texts. This firstly necessitates the processing of euphonic conjunctions or sandhi-s, which are points in words or between words, at which adjacent letters coalesce and transform. The ancient Sanskrit grammarian P??ini’s codification of the Sanskrit grammar is the accepted authority in the subject. His famed s?tra-s or aphorisms, numbering approximately four thousand, tersely, precisely and comprehensively codify the rules of the grammar, including all the rules pertaining to sandhi-s. This work presents a fresh new approach to processing sandhi-s in terms of a computational schema. This new computational model is based on P??ini’s complex codification of the rules of grammar. The model has simple beginnings and is yet powerful, comprehensive and computationally lean

The signature of laminar instabilities in the zone of transition to turbulence

We demonstrate that the space-time statistics of the birth of turbulent spots in boundary layers can be reconstructed qualitatively from the average behavior of macroscopic measures in the transition zone. The conclusion in \cite{vg04} that there exists a connection between the patterns in laminar instability and the birth of turbulent spots is strengthened. We examine why the relationship between instability and transition to turbulence is manifest in some cases and appears to be totally absent in others. Novel cellular automaton type simulations of the transition zone are conducted, and the pattern of spot birth is obtained from secondary instability analysis. The validity of the hypothesis of concentrated breakdown, according to which most turbulent spots originate at a particular streamwise location, is assessed. The predictions made lend themselves to straightforward experimental verification.Comment: 12 pages, 25 figures, submitted to PR

Scientometric analysis of IEEE Transaction on Pattern analysis and Machine Intelligence (2006-2015)

The present study deals the scientometric analysis of 1557 articles from IEEE Transaction on Pattern analysis and Machine Intelligence for the period of 2006-2015. The results show that the highest number of 204 (13.10%) articles has been appeared in the year of 2013. A significant note of the study is that the majority of articles are contributed by three authors 496(31.9 %).It is found that out of 1557 articles, only 74 articles were contributed by single authors; remaining 1483articles were contributed by multiple authors. The average degree of collaboration is 0.95.The total average author per paper is 3.16and average productivity per paper is 0.32.It is noted that the average citation per article is 45

A multilateral model of ecological ammensalism - numerical approach

The paper concerns with the numerical study of a mathematical model of “A Multilateral Model of Ecological Ammensalism - Numerical Approach”. The mathematical model comprises of Ammensal-enemy species pair with (i) a constant number of Ammensal is provided with cover to protect it from enemy(ii)the enemy is provided with alternate resources in addition to the Ammensal species (iii) both the species are immigrated and migrated. The model is organized by a couple of first order non linear ordinary differential equations. The numerical illustrations of the growth equations are computed by implementing the classical Runge-Kutta method of fourth order. The relations among the cover protected constant and the dominance reversal time is investigated. Some conclusions are obtained by the results. AMS Classification: 92 D 25, 92 D 40&nbsp