Entity

Time filter

Source Type

Aluva, India

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. Source


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. Source


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. Source


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. Source


Sarshad,Indian Academy Degree College | Dinesh D.,Indian Academy Degree College | Shiraf N.,MES College | Arjunan S.,Indian Academy Degree College
International Journal of Pharma and Bio Sciences | Year: 2015

Petroleum refineries around the world have played major role in generating the solid wastes during the refining process and stocking of crude oil. Oily sludge leads to critical effects in the environment. The ecology of hydrocarbon degradation by microbial populations in the natural environment is analysed, highlighting the physical, chemical, and biological factors that cause the biodegradation of petroleum and individual hydrocarbons. Therefore, in the present research work ventures to isolate hydrocarbon degrading bacteria from the contaminated soil with petrol and diesel oil. In the present work study was conducted in order to decode the microorganisms from oil contaminated sites for oil degradation abilities. Ten soil samples were isolated from oil contaminated sites. One isolate MS 9 showed maximum oil degradation ability. The isolate was characterized for staining and biochemical activities based on Bergey's Manual. The strains were preliminarily identified based on morphological observation, physiological and biochemical tests. Source

Discover hidden collaborations