MES College

Valancheri, India

MES College

Valancheri, India
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Mariamma K.C.,Mes College | Varghese H.T.,Fatima Mata National College | John K.,Mar Thoma College | Vinsova J.,Charles University | Van Alsenoy C.,University of Antwerp
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy | Year: 2013

The optimized molecular structure, vibrational frequencies and corresponding vibrational assignments of 5-Chloro-2-[4-(trifluoromethyl) phenylcarbamoyl]phenyl acetate have been investigated experimentally and theoretically using Gaussian09 software package. Potential energy distribution of the normal modes of the vibrations was done using GAR2PED program. The HOMO and LUMO analysis is used to determine the charge transfer within the molecule. The stability of the molecule arising from hyper conjugative interaction and charge delocalization have been analyzed using NBO analysis. The calculated geometrical parameters are in agreement with that of similar derivatives. The calculated first hyperpolarizability is comparable with the reported values of similar derivatives and is an attractive object for future studies of nonlinear optics. The red shift of the NH stretching wave number in the IR spectrum with a strong intensity from the computed wave number indicates the weakening of the NAH bond resulting in proton transfer to the neighboring oxygen. © 2013 Elsevier B.V. All rights reserved.

Julie M.D.,MES College | Kannan B.,Cochin University of Science and Technology
Neural Computing and Applications | Year: 2012

Learning disability (LD) is a neurological condition that affects a child's brain and impairs his ability to carry out one or many specific tasks. LD affects about 10% of children enrolled in schools. There is no cure for learning disabilities and they are lifelong. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. Just as there are many different types of LDs, there are a variety of tests that may be done to pinpoint the problem The information gained from an evaluation is crucial for finding out how the parents and the school authorities can provide the best possible learning environment for child. This paper proposes a new approach in artificial neural network (ANN) for identifying LD in children at early stages so as to solve the problems faced by them and to get the benefits to the students, their parents and school authorities. In this study, we propose a closest fit algorithm data preprocessing with ANN classification to handle missing attribute values. This algorithm imputes the missing values in the preprocessing stage. Ignoring of missing attribute values is a common trend in all classifying algorithms. But, in this paper, we use an algorithm in a systematic approach for classification, which gives a satisfactory result in the prediction of LD. It acts as a tool for predicting the LD accurately, and good information of the child is made available to the concerned. © 2011 Springer-Verlag London Limited.

Padma Kumar H.,Vtmnss College | Saravana Kumar S.,Nss College | Venugopal M.,Vtmnss College | Binila R.,Vtmnss College | And 3 more authors.
Journal of Alloys and Compounds | Year: 2015

BaZrxNd1- xO3 perovskites were prepared by the conventional solid state ceramic route for x = 0.85, 0.9, 0.95, 0.99, 0.995 and 0.999. The powders were calcined at 1250 °C. X-ray diffraction patterns of the samples confirmed the cubic phase formation and no considerable additional peaks were found. The absorption spectra of doped samples showed strong absorption around 225 nm, a shoulder at 250 nm and a broad peak around 330 nm. The samples with higher concentrations of neodymium show peaks around 750 and 800 nm. The absorption at 250 nm was due to the absorption by the host BaZrO3 and others can be attributed to that of Nd3+. The emission spectra of the samples were recorded for different excitations and strong emissions were observed around 344 nm, 360 nm, 401 nm, 527 nm and 901 nm. Chromaticity values of the samples measured using CIE chromaticity diagram were also discussed. © 2015 Elsevier B.V. All rights reserved.

Julie M.D.,MES College | Kannan B.,Cochin University of Science and Technology
Communications in Computer and Information Science | Year: 2010

The aim of this paper is to predict the Learning Disabilities (LD) of school-age children using decision tree. Decision trees are powerful and popular tool for classification and prediction in Data mining. Different rules extracted from the decision tree are used for prediction of learning disabilities. LDs affect about 10 percent of all children enrolled in schools. The problems of children with specific learning disabilities have been a cause of concern to parents and teachers for some time. This paper highlights the data mining technique - decision tree, used for classification and extraction of rules for prediction of learning disabilities. As per the formulated rules, LD in any child can be identified. © 2010 Springer-Verlag Berlin Heidelberg.

Paul M.K.,MES College | Mini K.D.,Kerala University | Antony A.C.,MES College | Radhakrishnan E.K.,Kerala University | Mathew J.,Kerala University
International Journal of Pharma and Bio Sciences | Year: 2012

239 bacterial isolates producing extracellular chitinase were selected from coastal environments of Kochi using a solid medium containing prawn shell powder. Among them 23 isolates which produced clear zone with diameter >1.5cm were tested for production of chitinase in a medium containing prawn shell powder. The bacterium designated as Mb 126 was the highest yielding and was selected for further studies. It was identified as Kurthia gibsonii. 0.6% of prawn shell powder, pH 6.5, temperature of incubation 35 0 C and agitation rate 100 rpm were the conditions optimum for chitinase production. This is the first report of chitinase production by kurthia gibsonii.

Shereena V.B.,MES College | Raju G.,Kannur University
Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016 | Year: 2016

Functional Magnetic Resonance imaging is an aid in identifying the brain activated regions by certain stimuli and tasks. It can be used to identify the psychological or other disease states resulting from various neurological impairments and also to make implication on brain connectivity. Several techniques are used for the functional analysis of fMRI neuroimaging data. Here our endeavor is to make a review of various computational methodologies used by fMRI data analysis, which includes various preprocessing methods used for removing noise and enhancing quality in fMRI as well as various statistical methods of fMRI image analysis. © 2016 IEEE.

Akbar S.K.,Bangalore University | Nargund A.L.,MES College | Maruthamanikandan S.,Bangalore University
AIP Conference Proceedings | Year: 2013

The problem of onset of convective instability in a horizontal inert porous layer saturated with a Maxwell viscoelastic fluid subject to zero-order chemical reaction is investigated by linear stability analysis. Modified Darcy-Maxwell model is used to describe the fluid motion. The horizontal porous layer is cooled from the upper boundary while an isothermal boundary condition is imposed at the lower boundary. Closed form solution pertaining to the basic quiescent state is obtained. The resulting eigenvalue problem is solved approximately using the Galerkin method. The Rayleigh number, characterizing the stability of the system, is calculated as a function of viscoelastic parameter, Darcy-Prandtl number, normalized porosity, and the Frank-Kamenetskii number. The possibility of oscillatory instability is discussed. © 2013 AIP Publishing LLC.

Thomas J.,Kerala University | Joseph S.,Kerala University | Thrivikramji K.P.,Kerala University | Arunkumar K.S.,MES College
Geoscience Frontiers | Year: 2014

The paper evaluates sensitivity of various spaceborne digital elevation models (DEMs), viz., Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Shuttle Radar Topography Mapping Mission (SRTM) and Global Multi-resolution Terrain Elevation Data 2010 (GMTED), in comparison with the DEM (TOPO) derived from contour data of 20 m interval of Survey of India topographic sheets of 1: 50,000 scale. Several topographic attributes, such as elevation (above mean sea level), relative relief, slope, aspect, curvature, slope-length and -steepness (LS) factor, terrain ruggedness index (TRI), topographic wetness index (TWI), hypsometric integral (Ihyp) and drainage network attributes (stream number and stream length) of two tropical mountain river basins, viz., Muthirapuzha River Basin and Pambar River Basin are compared to evaluate the variations. Though the basins are comparable in extent, they differ in respect of terrain characteristics and climate. The results suggest that ASTER and SRTM provide equally reliable representation of topography portrayed by TOPO and the topographic attributes extracted from the spaceborne DEMs are in agreement with those derived from TOPO. Despite the coarser resolution, SRTM shows relatively higher vertical accuracy (RMSE = 23 and 20 m respectively in MRB and PRB) compared to ASTER (RMSE = 33 and 24 m) and GMTED (RMSE = 59 and 48 m). Vertical accuracy of all the spaceborne DEMs is influenced by relief of the terrain as well as type of vegetation. Further, GMTED shows significant deviation for most of the attributes, indicating its inability for mountain-river-basin-scale studies. © 2014, China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V. All rights reserved.

Thomas J.,Kerala University | Joseph S.,Kerala University | Thrivikramji K.P.,Kerala University | Manjusree T.M.,Kerala University | Arunkumar K.S.,Mes College
Environmental Earth Sciences | Year: 2014

A comprehensive and systematic study to understand various geochemical processes as well as process drivers controlling the water quality and patterns of the hydrochemical composition of river water in Muthirapuzha River Basin, MRB (a major tributary of Periyar, the longest river in Kerala, India), was carried out during various seasons, such as monsoon, post-monsoon and pre-monsoon of 2007-2008, based on the data collected at 15 monitoring stations (i.e., 15 × 3 = 45 samples). Ca2+ and Mg2+ dominate the cations, while Cl- followed by HCO3 - dominates the anions. In general, major ion chemistry of MRB is jointly controlled by weathering of silicate and carbonate rocks, which is confirmed by relatively larger Ca2+ + Mg2+/Na++ K+ ratios as well as Ca2+/Na+ vs. Mg2+/Na+ and Ca2+/Na+ vs. HCO3 -/Na+ scatter plots. The relationship between Cl- and Na+ implies stronger contributions of anthropogenic activities modifying the hydrochemical composition, irrespective of seasons. The water types emerged from this study are transitional waters or waters that changed their chemical character by mixing with waters of geochemically different ionic signatures. However, various ionic ratios, hydrochemical plots and graphical diagrams suggest seasonality over the hydrochemical composition, which is solely controlled by the rainfall pattern. Relatively higher pCO2 indicates the disequilibrium existing in natural waterbodies vis-à-vis the atmosphere, which is an outcome of both the contribution of groundwater to stream discharge and anthropogenic activities. Hence, continuous monitoring of hydrochemical composition of mountain rivers is essential in the context of climate change, which has serious implications on tropical mountain fluvial-hydro systems. © 2013 Springer-Verlag Berlin Heidelberg.

Mini K.D.,SreeSankara College | Paul M.,MES College | Mathew J.,Mahatma Gandhi University
International Journal of Pharma and Bio Sciences | Year: 2015

The fungal strains were isolated from the soil samples collected from different localities in Ernakulam and Thrissur districts. The keratinolytic nature of the fungus made it easy to isolate using Vanbreuseghem's hair baiting technique. The fungi collected were cultured in keratin agar medium. The keratinolytic nature of the fungi were noted by observing the zone of clearance in the keratin agar medium. In this study, out of 350 fungi isolated, 42 presented clear zones in the keratin agar media. The selected fungi were tested for enzyme production by submerged fermentation using keratin substrate. The highest production of extracellular keratinase was shown by the fungus identified as Aspergillusflavus Optimization of conditions like incubation period, temperature, pH, supplementary sources etc. for maximum production of enzyme by Aspergillusflavus was done. The maximum production of the enzyme was obtained ,at 6thday of incubation. The maximum enzyme production by the fungus A. flavus S125 was observed at 55°C and pH 9. In the study A. Flavus cultured on a simple medium supplemented with chicken feather, produced a protease mixture with high keratinolytic activity at high pH, and was very effective in feather degradation, suggesting its potential use in biotechnological processes involving keratin hydrolysis. Moreover, the serine-type keratinase produced by the strain was active over a wide range of pH and temperature.

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