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Search Results: 1 - 10 of 219 matches for " Revathy Parameswaran "
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Understanding Rolle's Theorem
Mathematics Educator , 2009,
Abstract: This paper reports on an experiment studying twelfth grade students’ understanding of Rolle’s Theorem. In particular, we study the influence of different concept images that students employ when solving reasoning tasks related to Rolle’s Theorem. We argue that students’ “container schema” and “motion schema” allow for rich concept images.
Expert Mathematicians' Approach to Understanding Defintions
Revathy Parameswaran
Mathematics Educator , 2010,
Abstract: In this article I report on a study of the cognitive tools that research mathematicians employ when developing deep understandings of abstract mathematical definitions. I arrived at several conclusions about this process: Examples play a predominant role in understanding definitions. Equivalent reformulations of definitions enrich understanding. Evoked conflicts and their resolutions result in improved understanding. The primary role of definitions in mathematics is in proving theorems. And there are several stages in developing understandings of mathematical definitions (Manin, 2007; Tall & Vinner, 1981; Thurston, 1994). I also include some suggestions for pedagogy that are found in the data.
A Study on Stroke in Young and Elderly in Rajiv Gandhi Government General Hospital, Chennai  [PDF]
P. Chitrambalam, Dipti Baskar, S. Revathy
International Journal of Clinical Medicine (IJCM) , 2012, DOI: 10.4236/ijcm.2012.33037
Abstract: Stroke is a devastating and disabling cerebrovascular disease with some amount of residual deficit leading onto economic loss. Recent Indian studies have shown a stroke prevalence rate of 471.58/100,000 population. This study was undertaken to analyse the clinical profile and to arrive at important factors contributing to stroke in <45 years=\"\" group=\"\" and=\"\">45 years group. This is a descriptive, retrospective cross—sectional study carried out on acute CVA patients, admitted to the I.I.M., RGGGH, Chennai. 150 patients were studied over a period of 3 months in the 2011. 20% of <45 years (young stroke) and 80% >/= 45 years constituted our study population. 18.4% and 22.2% of males and females respectively were young stroke patients. Only 33.3% of patients were brought to the hospital within 6 hours. 90% patients had mild GCS score (>/=13/15) and presented with hemiplegia 76% and 18% had infarct and intracerebral hemorrhage(ICH) respectively. Risk factors: Type A personality (70.7%), Tobacco (60.7%) and Alcohol (44.7%) abuse, Systemic Hypertension (60.7%), Diabetes Mellitus (33.3%), Cardiac disorders (14%). Stroke was seen to be more common in >45 years but still young stroke carries paramount importance due to loss of productive years in these patients. Female predominance was seen in young stroke, with particular reference to puerperal period. Among the comorbid illness systemic hypertension followed by cardiac disorders had important contributing role in young strokes. Most of the patients with infarct and ICH were tobacco and alcohol abusers respectively. A holistic approach encompassing further research in factors involved in young stroke, public awareness, behavioural modification and comorbid medical illness management is the need for the hour.
Investigation of Photonic Band Gap in Si-Based One-Dimensional Photonic Crystal  [PDF]
Kulandaisamy S. Joseph Wilson, Vasan Revathy
Optics and Photonics Journal (OPJ) , 2013, DOI: 10.4236/opj.2013.38057

A one-dimensional silicon based photonic crystal with nonlinear defect layers is examined. The linear and nonlinear optical properties are analyzed. The transmission spectrum was obtained by applying the optical transfer matrix formalism to the photonic crystal. The various transmittance peaks obtained with the defect layers are investigated. The nature of the transmittance peak is analyzed with the number of defect layers.

Evolution of Erythromycin Resistance among Streptococcus pneumoniae Isolates in Malaysia from 2005 and 2010  [PDF]
Revathy Arushothy, Norazah Ahmad, Rohani Md Yassin
Journal of Biosciences and Medicines (JBM) , 2016, DOI: 10.4236/jbm.2016.45012
Abstract: Objectives: This study focuses on the antibiotic susceptibility pattern and distribution of the ermB and mefA virulence genes among the Streptococcus pneumoniae due to an increase in erythromycin resistance in S. pneumoniae worldwide. Methodology: We investigated 255 clinical isolates collected from 2005-2010 to determine the serotype distribution and resistance to erythromycin in comparison to penicillin, clindamycin, clarithromycin, azithromycin, and trimethoprim sulfamethoxazole. Multiplex PCR was carried out to detect erythromycin resistance genes (ermB and mefA). Results: There were 146 (57.3%) isolates resistant to erythromycin. MIC90 for erythromycin is at >256 mg/L and MIC50 is at 16 mg/L. The ermB gene was detected in 25.3% of the erythromycin-resistant isolates and mefA gene was detected in 50.7% of the isolates. The four most common serotypes encountered are 19F, 19A, 23F and 14. The serotype distribution among the erythromycin resistant isolates was 19F (42.0%) followed by serotype 19A (11.3%), serotype 23F (9.2%) and serogroup 14 (7.0%). Conclusion: In conclusion, there is a significant rise in erythromycin resistance among the Malaysian pneumococcal isolates. The emergence of serotype 19A together with increasing prevalence of resistance to macrolide warrants for a more extensive surveillance study.
Wavepackets in the Recognition of Isolated Handwritten Characters
G. Raju,K. Revathy
Lecture Notes in Engineering and Computer Science , 2007,
Revathy N. and Balasubramanian R.
International Journal of Genetics , 2012,
Abstract: Recently, Gene expression profiling by microarray technique has been effectively utilized for classification and diagnostic guessing of cancer nodules in the field of medical sciences. But the techniques used for cancer classification is still in its lower level. There are various drawbacks in the existing classification techniques such as low testing accuracy, high training time, unreliability, etc. Moreover, microarray data consists of a high degree of noise. Gene ranking techniques such as T-Score, ANOVA, etc are later proposed to overcome those problems. But those approaches will sometimes wrongly predict the rank when large database is used. To overcome these issues, this paper mainly focuses on the development of an effective feature selection and classification technique for microarray gene expression cancer diagnosis for provide significant accuracy, reliability and less error rate. In this paper, Wrapper feature selection approach called the GA-FSVML approach is used for the effective feature selection of genes. In FSVML, the RBF kernel function in SVM is trained using modified Levenberg Marquadt algorithm. This approach proposes a Fast SVM Learning (FSVML) technique for the classification tasks. The experiment is performed on lymphoma data set and the result shows the better accuracy of the proposed FSVML with GA-FSVML classification approach when compared to the standard existing approaches.
Indian Journal of Computer Science and Engineering , 2012,
Abstract: In fractal image compression, most of the time during encoding is spent for finding the best matching pair of range-domain blocks. Different techniques have been analyzed for decreasing the number of operations required for this range-domain matching. Encoding time can be saved by reducing the domain search pool for each range block. Domain blocks can be classified based on local fractal dimension. Fractal dimension is being studied as a measure to analyze the complexity of image portions. This paper proposes application of height balanced binary search trees for storing domain information ordered in terms of the local fractal dimension. The approach is toprepare the domain pool dynamically, by comparing the fractal dimension of range block with that of the domains. Domains with fractal dimension in an interval, evenly covering the fractal dimension of range block alone are given for comparison. We use AVL trees to enlist the domains based on their fractal dimension. Thedomain pool is prepared at runtime. Since the tree organization is used in the preprocessing phase, the proposed method can be used with any algorithm for fractal compression.
Dynamic Domain Classification for Fractal Image Compression
K. Revathy,M. Jayamohan
International Journal of Computer Science & Information Technology , 2012,
Abstract: Fractal image compression is attractive except for its high encoding time requirements. The image is encoded as a set of contractive affine transformations. The image is partitioned into non-overlapping range blocks, and a best matching domain block larger than the range block is identified. There are many attempts on improving the encoding time by reducing the size of search pool for range-domain matching.But these methods are attempting to prepare a static domain pool that remains unchanged throughout theencoding process. This paper proposes dynamic preparation of separate domain pool for each range block. This will result in significant reduction in the encoding time. The domain pool for a particular range block can be decided based upon a parametric value. Here we use classification based on local fractal dimension.
M. Revathy,R. Saravanan
International Journal of Computer Science and Mobile Computing , 2013,
Abstract: Reed Solomon (RS) codes are widely used to detect and correct data errors in transmission andstorage systems. Hence it is used in many digital communication and storage devices. In existing systemReformulated inversion less Burst error correcting (RiBC) algorithm is used. But it lacks in speed,throughput & area. To overcome this Algebraic Soft Decision (ASD) algorithm is proposed. This Proposedalgorithm is based on Unified VLSI architecture for correcting burst errors as well as random errors. Thisnew architecture is denoted as Unified Hybrid Decoding (UHD) architecture. It will be shown that, being thefirst RS decoder owning enhanced burst-error correcting capability, it can achieve high-speed, throughputand improved error correcting capability than traditional Hard Decision Decoding (HDD) design with lessarea.
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