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Deogire A.,METs Institute of Engineering | Hamde S.,Shri Guru Gobind Singhji Institute of Engineering and Technology
2015 International Conference on Industrial Instrumentation and Control, ICIC 2015 | Year: 2015

T wave Alternans (TWA) is an important risk identification marker of ventricular arrhythmia and Sudden Cardiac Death (SCD). Number of methods is proposed to detect this micro level phenomenon. The correlation (CM) and modified moving average (MMA) are two time domain, popular and well studied methods. The MMA does not have detection stage but quantification results are good and robust. While the CM has both detection and quantification stages but later is underestimated. Thus considering the shortcomings of each, a new collaborative approach in which detection stage of CM and quantification stage of MMA is proposed. The algorithm is tested on TWA challenge database record. Concordance Correlation Coefficient of 0.41 and 0.70 while RMSE values of 18 and 13 are obtained respectively for CM and MMA. A simple correlation coefficient is almost same for two. Thus the understanding limitations of the existing methods and efforts to overcome those shows value addition and improvement in TWA analysis. This will help to enhance overall prognostic and diagnostic performance of TWA test. © 2015 IEEE.

Munje R.K.,METs Institute of Engineering | Roda M.R.,K.K.W.I.E.E. and R. | Kushare B.E.,K.K.W.I.E.E. and R.
2010 9th International Power and Energy Conference, IPEC 2010 | Year: 2010

In this paper, sliding mode control (SMC) technique is used to control the speed of DC motor. The performance of the SMC is judged via MATLAB simulations using linear model of the DC motor and known disturbance. SMC is then compared with PI controller. The simulation result shows that the sliding mode controller (SMCr) is superior controller than PI for the speed control of DC motor. Since the SMC is robust in presence of disturbances, the desired speed is perfectly tracked. The problem of chattering, resulting from discontinuous controller, is handled by pseudo sliding with smooth control action. ©2010 IEEE.

Deogire A.,METs Institute of Engineering | Hamde S.,Shri Guru Gobind Singhji Institute of Engineering and Technology
Journal of Medical Engineering and Technology | Year: 2014

T-wave alternans, a beat-to-beat re-polarization pattern variation phenomenon, plays an important role in sudden cardiac death prediction. The proposed method modifies the currently available Modified Moving Average Method (MMAM) by a multi-lead principal component analysis (PCA) approach. Application of PCA will concentrate the alternans effect, which is supposed to be distributed on multiple leads in a single derived lead. MMAM is applied to the derived lead and alternans magnitude is measured. Results are compared with MMAM, implemented by the authors and by an open source tool, TWAnalyser. The TWA Physionet/CinC 2008 Challenge Database is used for testing. Performances are measured in terms of root mean square error (rmse) and correlation coefficients. The rmse is highest for TWAnalyser results and lowest for the proposed method. While the correlation coefficient is highest for the proposed method, 0.88, that for normal MMAM is 0.73 and for TWAnalyser is 0.75. The proposed multi-lead PCA approach provides improved performance of current MMAM. © 2014 Informa UK Ltd. All rights reserved.

Choubey N.S.,A.P.S. University | Kharat M.U.,METs Institute of Engineering
Applied Soft Computing Journal | Year: 2013

Grammar induction (also known as grammar inference or language learning) is the process of learning grammar from training data. This paper presents hybrid genetic algorithm (GA) Tool for handling premature convergence for the case of grammar induction. The tool is developed in Java and the results are tested for the set of 20 languages. It is an effort towards introduction of a hybrid GA system where the collection of more than one type of reproduction methods is used for the grammar induction. Paper also includes the discussion on the various approaches used by author for handling the premature convergence problem in using GA. © 2012 Elsevier B.V. All rights reserved.

Raut P.S.,METs Institute of Engineering | Wani P.P.,METs Institute of Engineering
Nature Environment and Pollution Technology | Year: 2010

Biosorption is a potential alternative to traditional processes of metal ions removal. Therefore, the capacity to biosorb cadmium and lead by Aspergillus flavus strain 44-1 was investigated. Batch-scale experiments were conducted to study the effect of design parameters such as pH, retention time and initial metal concentration. Fixed dried Aspergillus flavus strain 44-1 dose of 2g/L was applied through the study. The highest removal for Cd and Pb were 50% and 70% respectively. For both metals, uptake increased by increasing the initial metal concentration. The experimental biosorption equilibrium data were in good agreement with those calculated by Freundlich model. The maximum sorption capacities determined from the experimental equilibrium isotherms by applying the Freundlich model showed that the Aspergillus flavus has best ability at pH 4 and pH 6 for Cd and Pb respectively. By applying Freundlich model at pH 6, k was 28 for Pb and 21 for Cd, and at pH 4, k was 20 for Pb and 30 for Cd. This means that treated adsorbents show good adsorption capacities for Cd and Pb.

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