Chennai, India
Chennai, India

Bharath University, formerly Bharath Institute of Higher Education and Research and Bharath Institute of Science and Technology , is a private deemed university in Chennai, Tamil Nadu, India. Wikipedia.

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Jayalakshmi V.,Bharath University | Gunasekar N.O.,Easwari Engineering College
2013 International Conference on Energy Efficient Technologies for Sustainability, ICEETS 2013 | Year: 2013

A Dynamic Voltage Restorer (DVR) is one of the most common custom power devices to compensate for the voltage sag and swell. The main functions of the DVR are the injection of voltage to the power line and maintain the pre-sag voltage condition in the load side. Different control strategies are available depending upon the compensation technique. In this paper, a simple method for the generation of reference voltage for a DVR is presented. This control scheme provides superior performance compared to conventional control methods because it directly measurers the rms voltage at the load point without involving any transformation process. Even under system disturbances, this control scheme maintains a constant voltage at the load point. The control scheme is rather simple, flexible in cost and has an excellent voltage regulation capability. The simulation was carried using MATLAB/ SIMULINK and the results of the simulation show that this proposed method is able to provide the desirable power quality in the presence of a wide range of disturbances. © 2013 IEEE.

Nagarajan C.,Bharath University | Madheswaran M.,Muthayammal Engineering College
Iranian Journal of Electrical and Electronic Engineering | Year: 2012

This paper presents a Closed Loop control of CLL-T (Capacitor Inductor Inductor). Series Parallel Resonant Converter (SPRC) has been simulated and the performance is analysised. A three element CLL-T SPRC working under load independent operation (voltage type and current type load) is presented in this paper. The Steady State Stability Analysis of CLL-T SPRC has been developed using State Space Technique and the regulation of output voltage is done by using Fuzzy controller. The simulation study indicates the superiority of fuzzy control over the conventional control methods. The proposed approach is expected to provide better voltage regulation for dynamic load conditions. A prototype 300 W, 100 kHz converter is designed and built to experimentally demonstrate, dynamic and steady state performance for the CLL-T SPRC are compared from the simulation studies.

Pieger S.,University of Hamburg | Salman A.,Bharath University | Bidra A.S.,University of Connecticut Health Center
Journal of Prosthetic Dentistry | Year: 2014

Statement of problem Lithium disilicate is a relatively new and popular restorative material for esthetic and functional rehabilitations, but the evidence for clinical outcomes is not clear. Purpose The purpose of this systematic review was to analyze the short-term (1- to 5-year) and medium-term (5- to 10-year) survival rates of lithium disilicate single crowns and partial fixed dental prostheses. Material and methods An electronic search for articles in the English-language literature published between January 1998 and June 2013 was performed with the PubMed search engine. The specific search terms used were lithium disilicate, lithium silicate, IPS e max, IPS Empress, CAD CAM, pressed ceramic, monolithic, and bilayer. After applying predetermined inclusion and exclusion criteria, the definitive list of selected articles was suitable only for calculating the interval survival rate and cumulative survival rate. Results The electronic search resulted in 2033 titles. The systematic application of inclusion and exclusion criteria resulted in 12 clinical studies that addressed the clinical outcomes of lithium disilicate restorations. Of these, 2 were randomized controlled trials, 5 were prospective studies, 1 was a retrospective study, and 4 studies were descriptive in nature. All 12 studies reported on tooth-retained lithium disilicate restorations. The 2-year cumulative survival rate for single crowns was 100%, and the 5-year cumulative survival rate was 97.8%. The 2-year cumulative survival rate for fixed dental prostheses was 83.3%, and the 5-year cumulative survival rate was 78.1%. The cumulative survival rate over a 10-year period, primarily owing to data from 1 study, was 96.7% for single crowns and 70.9% for fixed dental prostheses. Conclusions For lithium disilicate single crowns, the existing evidence indicates excellent short-term survival rates, but the evidence for medium-term survival is limited. For lithium disilicate fixed dental prostheses, the evidence for short-term survival is fair, although limited, but the evidence for medium-term survival is not promising. The majority of failures in both types of restorations were reported in the posterior region. © 2014 by the Editorial Council for The Journal of Prosthetic Dentistry.

Kumaravel A.,Bharath University | Meetei O.N.,Bharath University
2013 IEEE Conference on Information and Communication Technologies, ICT 2013 | Year: 2013

One of the core issues for robust cryptographic systems is to deal with the rate of diffusion and distribution of keys. We try to strengthen this aspect by increasing the length of block ciphers. We present a new encryption and decryption algorithm for block cipher that supports 27 bit block size. All components in our system are chosen to be based on cellular automata so as to achieve higher parallelism and to simplify the in hardware and software implementation for applications with high degree of security. The main objective of this paper is to increase the complexity by novel schemes of mixing (reversible cellular automata) RCA and (non-uniform reversible cellular automata) NRCA. We apply set of different bit permutation methods for this purpose. This paper establishes the proof for existence of yet another approach for a high quality pseudorandom bit sequences generated by non uniform cellular automata. © 2013 IEEE.

Kumarave A.,Bharath University | Rangarajan K.,Bharath University
2013 IEEE Conference on Information and Communication Technologies, ICT 2013 | Year: 2013

Path discovery or routing algorithms are challenging when the nodes are distributed over not on just regular grid like rectangular type but on semiregular grids. Investigations in the study of finite state automata that move about in a two dimensional space are suitable to tackle this context. The model proposed by H. Muller [1] is used here to construct new automaton which can explore the path through obstacles over the grid. This model is to be applied for routing phase for data transmission. The earlier results were shown for static obstacles distributed over integer grid and the automaton in this case was constructed to interact on the rectangular grid location endowed with four neighborhood directional states. In this paper we allow higher degree of neighborhood and mixing the types cells. It has been verified that the finite automaton with number of printing (output) symbols determined by the maximum out degree of a cell in the underlying semi-regular grid can find the target. © 2013 IEEE.

Jayaraman B.,Bharath University
Asian Pacific journal of cancer prevention : APJCP | Year: 2012

There have been case reports of oral squamous cell carcinoma arising from gingival overgrowth induced by phenytoin--an antiepileptic drug. However, a detailed analysis for the presence of mutations in p53 and ras genes, which are the two most frequently mutated genes in cancers, in phenytoin induced gingival overgrowth tissues has hitherto not been performed. Cellular DNA isolated from twenty gingival overgrowth tissues collected from patients undergoing phenytoin therapy were amplified using primers for p53 (exons 5-8) and H-ras (exons 1-2) genes. The PCR amplicons were then gel purified and subjected to direct sequencing analysis to screen for mutations. Direct sequencing of twenty samples of phenytoin induced gingival growth did not identify mutations in any of the exons of p53 and H-ras genes that were analyzed. Our result indicates that mutational alteration of p53 and H-ras genes is infrequent in phenytoin induced gingival growth, which thus suggests a non malignant nature of this pathology. The findings in the present study are clinically significant as a large number of epileptic patients are treated with phenytoin.

Kerana Hanirex D.,Bharath University | Kaliyamurthie K.P.,Bharath University
International Journal of Pharma and Bio Sciences | Year: 2013

Thyroid is one of the crucial disease that affects people of all ages now a days. Diseases of the thyroid include conditions associated with excessive release of thyroid hormones (HyperThyroidism) and those associated with thyroid hormone deficiency (Hypothyroidism). In this paper we consider the Thyroid data set with multi class and propose the classification for thyroidism in a separate layer. In this work, a multiclassification approach for detecting thyroid attacks is designed to achieve higher efficiency and to improve the detection and classification accuracy. This method finds that the method NNge provides higher efficiency to classify the thyroid attacks.

Kumaravel A.,Bharath University | Pradeepa R.,Bharath University
International Journal of Pharma and Bio Sciences | Year: 2013

Search methods applied to data mining techniques help us to analyze a data set. These methods are used to reduce the size of the search space in order to select the relevant molecules for the drug design. The research community in theoretical chemistry is very much depends on practical prediction and classification tools for this purpose. Classification is one of the major data mining methodologies. The objective of this paper is to check the learning algorithms for classification of drug design parameters based on 'Musk' qualifying dataset. The main intention in this context is to deal with a large data set with high accuracy. For this purpose Bayesnet, Naïve-Bayes, Decision table and random forest models are built using Weka tool under supervised learning algorithm. It is necessary to reduce the data dimension before constructing the models and thus the search methods for selection of attributes are followed. Those models are to be applied to predict the possible new drug candidates.

Sundararajan M.,Bharath University
International Journal of Biomedical Engineering and Technology | Year: 2011

Optical sensors are increasingly becoming important and relevant in the field of non-invasive diagnostics because of simple construction, easy to use and relatively inexpensive in comparison with other tools. The Photoplethysmography (PPG) optical sensors are capable of measuring the blood volumetric changes in the subcutaneous vessels in conjunction with sensitive temperature sensors that measures breathing activity. Frequency spectrum of the PPG signal shows a peak around 0.12 Hz other than the two principal frequency components (cardiac peak -1 Hz (fh) and respiratory peak -0.25 Hz (fb)). The prominence of the low-frequency relaxation rhythms appears around 0.12 Hz (fl) in conjunction with the respiratory peak during deep breathing. Copyright © 2011 Inderscience Enterprises Ltd.

Kumaravel A.,Bharath University | Udhayakumarapandian D.,Bharath University
International Journal of Pharma and Bio Sciences | Year: 2013

Impact of infections on fruits like apple is very high if it is not predicted and acted upon. Classification as one of the major data mining methodologies can be applied effectively for this purpose. The objective of this paper is to check the learning algorithms for classification such examples based on selected dataset for apple scab. The main intention in this context is to deal with available data set for high accuracy. For this purpose Ada Boost, Bagging, Logit Boost models are built using an open source mining Weka under supervised learning algorithms. It is necessary to reduce the error before constructing the final models and thus the varying the parameters and number of iterations for training is carried out.

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