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Saxena A.,Guru Ghasidas University | Patre D.,Guru Ghasidas University | Dubey A.,Salalah College of Technology
International Journal of Information and Communication Technology | Year: 2011

This paper presents a novel scheme to select a subset of features from a dataset. We apply genetic algorithm (GA) with a random small subset of features. The GA explores stochastically a better subset of features using various combinations of lengths and features over a number of generations. The classification accuracy due to different classifiers in presence of these subsets of features is taken as the performance criteria (objective function) of GA. The proposed scheme is tested on a few UCI datasets. The performances of the KNN, informative KNN (local LI-KNN and global GI-KNN), and LI-KNN with boosting in presence of all features and those in presence of only selected subset of features are compared with reported results. With extensive simulation study, it is observed that the proposed scheme produces a reasonably good accuracy with a reduced subset of features in these datasets. Source


Alami M.,Salalah College of Technology
International Journal of Applied Linguistics and English Literature | Year: 2016

Given that a systematic treatment of Persian Discourse Markers (hereafter DMs) is almost absent in modern Persian linguistics and to bridge this gap, the audio-recorded data comprising 14 face to face casual conversations involving two-party and multi-party interactions among family members, acquaintances and close friends are used to shed light on these ‘frequently used’ but ‘frequently unnoticed’ linguistic elements. To document a list of the most common DMs typically used in Tehrani dialect of Persian language and to have a detailed description of their discoursal functions in talk, Brinton’s (1996) binary classification of DMs functions (textual and interpersonal) was developed to provide an empirically-supported account of the functions and position of Persian DMs in interaction among Tehrani speakers. The present account of DMs which is basically ‘analytical description’ provides the reader with the knowledge about how Persian DMs operate in actual usage. The findings are built upon a 3105-word corpus including 14 audio-recorded conversations among 50 participants. Altogether 34 tokens of Persian DMs with an overall 254 occurrences were identified among which na/na baba (no/no daddy) with the total of 33 (12.84%) occurrences were the most frequently used Persian DM in the data which are followed by dige (no English equivalent), aare/ba’ale (yep/yes), yani (I mean), vali (but), haalaa/ alaan (now), bebin/nega kon (look) and aslan (by no means/ never).To the author, research on the functions and distributional patterns of Persian DMs will broaden our knowledge of their discoursal behavior in language in general and contribute to the already growing cross-linguistic body of work on DMs. © 2016, Australian International Academic Centre PTY LTD. All rights reserved. Source


Khan S.A.,Salalah College of Technology
Optik | Year: 2010

Matrix representations of Maxwell's equations have a striking resemblance to the Dirac equation. We exploit this resemblance to build a beam optics formalism from an exact eight-dimensional matrix representation of the Maxwell equations. The Foldy-Wouthuysen iterative diagonalization technique is employed to obtain a Hamiltonian description for a system with varying refractive index. The beam-optical Hamiltonian is shown to have a wavelength-dependent part, resulting in the wavelength-dependent modifications of light beam optics. The present study is the generalization of the traditional and non-traditional prescription of Helmholtz optics. © 2008 Elsevier GmbH. All rights reserved. Source


Prasad V.R.,Madanapalle Institute of Technology and Science | Gaffar S.A.,Salalah College of Technology | Beg O.A.,Gort Engovation Research
Journal of Thermophysics and Heat Transfer | Year: 2015

Buoyancy-driven laminar free-convection flow, heat, and mass of a non-Newtonian nanofluid from a horizontal circular cylinder to a micropolar fluid have been investigated numerically using an implicit finite difference scheme. The model used for the nanofluid incorporates the effects of Brownian motion and thermophoresis. A nonsimilarity solution is presented that depends on the Prandtl number Pr, Schmidt number Sc, Brownian motion parameter Nb, thermophoresis parameter Nt, material parameter K, and buoyancy ratio parameter N. It is observed that increasing the Brownian motion parameter increases the temperature, Sherwood number, and wall couple stress but decreases the velocity, concentration, angular velocity, skin friction, and Nusselt number. An increase in the thermophoresis parameter is observed to accelerate the velocity, concentration, angular velocity, skin friction, and Nusselt number, whereas it decreases the temperature, the reduced Sherwood number, and wall couple stress. The velocity, angular velocity, Nusselt number, and wall couple stress are reduced with increasing material parameters, whereas the temperature, concentration, skin friction, and Sherwood number are enhanced. It is also observed that increasing material parameters increases velocity, angular velocity, skin friction, Nusselt number, and Sherwood number but decreases temperature, concentration, and wall couple stress. The model finds applications in energy systems and the thermal enhancement of industrial flow processes. Copyright © 2014 by the American Institute of Aeronautics and Astronautics, Inc. Source


Ahmed Khan S.,Salalah College of Technology
Optik | Year: 2011

In their most recent article, Grado-Caffaro et al. have addressed the question of the 'photon velocity'. They have expressed the photon velocity in terms of the wavefunctions of the Klein-Gordon equation (Grado-Caffaro and Grado-Caffaro [4]). In this note, we closely follow their work and explicitly obtain the photon velocity using the free solutions of the Klein-Gordon equation. It is shown that the plane wave solutions give rise to six possible values of the photon velocity. Two of these solutions are the most expected (v=c). The remaining four solutions, the real pair 0.786c and the imaginary pair 1.272ic are difficult to comprehend. © 2010 Elsevier GmbH © 2010 Published by Elsevier GmbH. All rights reserved. Source

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