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i-manager's Journal on Electrical Engineering (JEE)

Current Issue Vol. 17 Issue 2

Most Cited

Volume 4 Issue 4 April - June 2011

Article

A Simulation of Heat Flow in porous Metal workpiece using Artificial Feedback Neural Networks

Prabhu S. M* , Abbas Mohadeen**

* Director of Research, NIMS University, Jaipur.

** Principal, Maamallan Institute of Technology Perumbudur.

Prabhu S.M, and Abbas Mohadeen (2011). A Simulation Of Heat Flow In Porous Metal Workpiece Using Artificial Feedback Neural Networks. i-manager’s Journal on Electrical Engineering, 4(4), 1-8. https://doi.org/10.26634/jee.4.4.1451

Abstract

This paper contains novel model using feedback neural networks for a work piece temperature prediction.The heat and mass transfer in a porous metal workpiece which is heated by a fire gun is studied.The heat flux distribution is determined by thermocouple connected on the workpiece at definite distances. The gun work piece distance were also change and the temperature distribution and heat flux were determined.The permeability’s were in range of 0.01-0.15 .The ANN model parameters of the result output were simulated using the ANN parameters The simulation was done using MATLAB 6.0® Neural Network Toolbox.

References

[1]. P Fauchius A Vandelle and B.Dussoubs,QuoVadis ,(2001). Thermal spraying?,Int thermal spray conf, 2001:Better surfaces for new Millenium pp6-18,ohi,USA.

[2]. Sampath and Xi Jiang 4 (2002). Substrate temperature spray coatings mater sci engg 45,12.

[3]. I.Pop, (2003). Modeling of heat flow in a porous cavity ,Int J of Heat Mass Tr,23,187.

[4]. F.C. Lai, (1994). Non Darcy convection from a Line source, Int Comm in Heat Mass transfer12,17,875-880.

[5]. A Postelneicu and I Pop, (2002). Convection in porous media with generation, Int J of Num Methods in heat transfer,Vol26,No8Taylor and Francis pubs, London.

[6]. D.A.S Ras, I Pop (1999). Modeling of Natural convection in shallow porous concrete slab to control heat flow, Int comm. In Heat Mass transfer 26,No 6,pp761-770 Elsevier, NY.

[7]. D.A.S Ras, (1998). Free convection stagnation point flow in a porous media in a thermal nonequilibrium region, Int comm. Heat mass Transfer 12, pp.162-171.

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Research Paper

Hybrid Fuzzy-PI Controller for the Speed Control of Switched Reluctance Motors

Dr. Venkata Reddy* , M. Vijaya Kumar**

* Assistant Professor, Department of EEE, Jawaharlal Nehru Technological University, Kakinada.

** Professor, Department of EEE, JNTUA College of Engineering, Jawaharlal Nehru Technological University, Anantapur.

K. Venkata Reddy and M. Vijaya Kumar (2011). Hybrid Fuzzy-PI Controller for the Speed Control of Switched Reluctance Motors. i-manager’s Journal on Electrical Engineering, 4(4), 9-13. https://doi.org/10.26634/jee.4.4.1453

Abstract

Because of the nonlinear magnetic structure and time varying motor parameters, the traditional controllers like PI, PD and PID are insufficient in Switched Reluctance Motor (SRM) control. A strategy of hybrid Fuzzy-PI control for switched reluctance motors is presented in this paper. The strategy of fuzzy logic controller and PI controller is combined to realize the speed adjustment. The hybrid fuzzy-PI controller adopts fuzzy logic control when the speed error is big, and adopts PI control when the error is small. Simulation results indicate that this hybrid control strategy overcomes the steady state error of speed in classical fuzzy controller, and the paradox between the response time and overshoot of speed is managed. This system has a good anti-interference performance.

References

[1]. Miller T. J. E, (2001). “Electronic Control of Switched Reluctance Machines”, Newnes Power Engineering Series, Oxford press.

[2]. He Li, Wan Pellin, Xiao Huihui, (2004). “Application of PID-Fuzzy Controller in Switched Reluctance Motor Drives”, S&M Electrical, Shangai, 31(4), pp. 32-35.

[3]. Zhang Weiguo, Yang Xiangzhong, (2000). “Fuzzy logic control theor y application”, Northwestern Polytechnical University Press, Xi An.

[4]. Ahmed Tahour, Hamza Abid, Abdel Ghani Aissaoui, (2007). “Adaptive Neuro-Fuzzy Controller of Switched Reluctance Motor ”, Serbian Journal of Electrical Engineering, Vol.4, No.1, June, pp. 23-34.

[5]. Akcayol M. A., (2004). “Application of adaptive neuro-fuzzy controller for SRM”, Advances in Engineering Software 35, pp.129-137.

[6]. B. Fahimi, G. Suresh, J. Mahdavi and M. Ehsani, (1998). “A New Approach to Model Switched Reluctance Motor Drive Application to Dynamic Performance Prediction, Control and Design,” PESC 98 Record. 29th Annual IEEE, Vol. 2, 17-22 pp. 2097- 2102, May.

[7]. K. Venkat Reddy, M. Vijaya Kumar, (2009). “A Nonlinear Model for Switched Reluctance Motors”, Institution of Engineers (India) Journal – EL, Vol. 89, pp. 1-8, March.

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Research Paper

A Comparison of Computing techniques for the Optimal Power Flow Problem

Akula Venkata Naresh*

*Associate Professor, Department of EEE, DVR & Dr. HS MIC College of Technology, Andhra Pradesh, India.

** Senior Associate Professor, Department of EEE, JNTU College of Engineering, Hyderabad, Andhra Pradesh, India.

A.V. Naresh Babu and S. Sivanagaraju (2011). A Comparison Of Computing Techniques For The Optimal Power Flow Problem. i-manager’s Journal on Electrical Engineering, 4(4), 14-18. https://doi.org/10.26634/jee.4.4.1454

Abstract

A new approach to solve optimal power flow (OPF) problem in the power system is presented. In the proposed method, a two step initialization process have been adopted which eliminates the mutation operation and also it gives optimal solution with less number of generations which results in the reduction of the computation time. The feasibility of the proposed algorithm is demonstrated for a standard 2-machine, 5-bus system. The obtained results using proposed method are compared with the conventional optimization technique. The results reveal better solution and computational efficiency of the proposed algorithm.

References

[1]. A.Santos and G.R.M.da Costa, (1995). “Optimalpower- flow solution by Newton's method applied to an augmented Lagrangian function,” IEEE proc.-Gener. Transm, Distrib, Vol.142, No.1, Jan.

[2]. G.R.M.da Costa and C.E.U.Costa, (2000). “Improved Newton method for optimal power flow problem,” Electric Power Energy Syst., Vol. 22,pp. 459-462,

[3]. G.Radman and J.Shultz, (2005). “A New Derivation for Newton Based Optimal Power Flow Solution,” Electric Power Components and Systems, Vol.33, pp.673-684,

[4]. J.A.Momoh and J.Z.Zhu, (1999). “Improved Interior Method for OPF Problems,” IEEE Trans. Power Syst., Vol.14,no.3, Aug.

[5]. Wang Min and Liu Shengsong, (2005). “A trust region interior point algorithm for optimal power flow problems,” Electric. Power Energy Syst, Vol. 27, pp.293-300.

[6]. Florin Capitanescu, Mevludin Glavic and Louic Wehenkel, (2007). “ Interior-Point based algorithms for the solution of optimal power flow problems,” Electric Power Syst. Research, Vol.77, pp. 508-517.

[7]. N. Alguacil and A.J.Conejo, (2000). “ Multi-period optimal power flow using Bender's decomposition,” IEEE Trans. Power Syst., Vol.15, No.1, Feb.

[8]. H.Y. Yamin, Kamel Al-Tallaq and S.M.Shahidehpour, (2003). “A novel approach for optimal power flow using Bender's decomposition in a deregulated power market,” Electric Power Components and Sytems, Vol.31, pp.1179- 1192,

[9]. H.Y. Yamin, Kamel Al-Tallaq and S.M.Shahidehpour, (2003). “New approach for dynamic optimal power flow using Benders decomposition in deregulated power market,” Electrical Power Systems Research, Vol. 65, pp. 101-107.

[10]. Xiaoqing Bai, Hua Wei, Katsuki Fujisawa and Yong Wang, (2008). “Semi definite programming for optimal power flow problems,” Electric. Power Energy Syst., Vol. 30, pp. 383-392.

[11]. Lin Liu, Xifan Wang, Xiaoying Ding and Haoyong Chen, (2009). “A robust approach to optimal power flow with discrete variables,” IEEE Trans. Power Syst., Vol.24, No.3, Aug.

[12]. C.W.Yu, (2001). “Sensitivity analysis of multi-area optimum power flow solutions,” Electrical Power Systems Research, Vol.58, pp.149-155.

[13]. A.M.de Souza, V.A.de Souza and G.R.M.da Costa, (2010). “Studies of cases in power systems by sensitivity analysis oriented by OPF” Electric. Power Energy Syst., Vol. 32,pp.969-974.

[14]. E. Acha, C.R. Fuerte-Esquivel, H. Ambriz-Perez and C. Angeles-Camcacho, (2004). “FACTS-modelling and Simulation in power networks,” John Wiley & Sons.

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Research Paper

Development of Speech Corpora for Speaker Recognition Systems

Piyush Lotia* , M.R. Khan**

* Research Scholar, Electronics and Telecommunication CSVTU Bhilai.

** Principal, New Government Engineering College Raipur.

Piyush Lotia and M.R. Khan (2011). Development of Speech Corpora for Speaker Recognition Systems. i-manager’s Journal on Electrical Engineering, 4(4), 19-25. https://doi.org/10.26634/jee.4.4.1455

Abstract

Automatic Speaker Recognition (ASR) refers to the task of identifying a person based on his or her voice with the help of machines. It has been predicted that telephone-based services with integrated speech recognition, speaker recognition, and language recognition will supplement or even replace human-operated telephone services in the future. The main aim of this project is speaker identification, which consists of comparing a speech signal from an unknown speaker to a database of known speaker. The speaker identification is the process of determining which registered speaker provides a given speech. On the other hand, speaker verification is the process of rejecting or accepting the identity claim of a speaker Results of ASR are highly dependent on database. In this paper, a methodology and a typical experimental setup used for development of corpora for various tasks in the text-independent speaker identification in different Indian languages, viz Hindi ,English and Gujrati have been described. Finally This paper describes efforts to create corpora to support and evaluate systems that perform speaker recognition where channel and language may vary.

References

[1]. Doddington, G. (1998). “Speaker Recognition Evaluation and Methodology: An Overview and Perspective,” Workshop on Speaker Recognition and its Commercial and Forensic Applications (RLA2C), Avignon, France, April 20-23, pp. 60-66.

[2] .NIST Speaker Recognition Evaluation Plans.http://www.nist.gov/speech/test.html.

[3] .European Lang Resources Assoc . http://www.icp.grenet.fr/ELRA.

[4] .Linguistic Data Consortium . http://www.ldc.upenn.edu/.

[5]. Oregon Graduate Institute. http://cslu.cse.ogi.edu/

[6]. Patil, H. A., & Basu, T. K. (2004). Speech corpus for text or language independent speaker recognition in Indian languages, Addendum to the lecture compendium. In Proceedings of National symposium on morphology, phonology and language engineering, SIMPLE' 04, IIT Kharagpur, India, pp. A1–A4,March19–21.

[7]. Atal, B. S., &Hanuaer, S. L. (1971). Speech analysis and synthesis by linear prediction of the speech wave. Journal of the Acoustical Society of America,50, pp 637–655.

[8]. Linguistic Data Consortium for Indian Languages. (2008).http://www.ldcil.org.

[9]. Kersta, L. G. (1962). Voiceprint identification. Nature, 196(4861),1253–1257 (29 December).

[10]. Reynolds, D. (1996), “The Effects of Handset Variability on Speaker Recognition Performance: Experiment on the Switchboard Corpus,”ICASSP, May, pp.113-116.

[11]. Li, K. P., & Wrench, E. H. Jr. (1983). Text-independent speaker recognition with short utterances. In Proceedings of international conference on acoustics, speech, and signal processing, ICASSP'83, Boston, MA (pp. 555–558).

[12]. Patil, H. A., & Basu, T. K. (2004). Multilingual speech corpus design for speaker identification in Indian languages. In International workshop on standardization of speech database, oriental COCOSDA'04, Noida, Delhi, India, pp17–19 November.

[13]. Patil, H. A., & Basu, T. K. (2009). LP Spectra vs. Mel Spectra for identification of professional mimics in Indian languages. International Journal of Speech Technology. doi:10.1007/s10772-009-9031y.

[14]. S S Agrawal, K Samudravijaya, Karunesh Arora, (2004). “Text and Speech Corpora Development in Indian Languages”, Proceedings of ICSLT-O-COCOSDA New Delhi, India.

[15]. Ed. K. Samudravijaya (2003). et al., Proc. Work on Spoken Language Processing, TIFR & ISCA, Jan 9-11, Mumbai.

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Research Paper

Model Reduction of Linear Systems by PSO Technique based on ISE, Circumvented by Equality Constraints

U. Salma* , K. Vaisakh*****

* Associate Professor, Department of Electrical and Electronics Engineering, GITAM University, Visakhapatnam.

Professor, Department of Electrical Engineering, AU College of Engineering, Andhra University, Visakhapatnam, Andhra Pradesh.

* P.G.Student, Department of Electrical Engineering, A.U.College of Engineering, Andhra University, Visakhapatnam.

U. Salma, K. Vaisakh and G. Murali Krishna (2011). Model Reduction of Linear Systems by PSO Technique based on ISE, Circumvented by Equality Constraints. i-manager’s Journal on Electrical Engineering, 4(4), 26-30. https://doi.org/10.26634/jee.4.4.1458

Abstract

In this paper Particle Swarm Optimization (PSO) technique for obtaining a reduced order approximation of a single-input single-output system based on minimization of integral squared error (ISE) pertaining to a unit step input is proposed. Unlike the conventional method, ISE is circumvented by equality constraints after expressing it in frequency domain using Parseval’s theorem. Some more existing conventional reduction techniques are also considered and compared with the proposed method through a numerical example to show the validity of the proposed method.

References

[1]. Singh, V., Chandra, D., & Kar, H. (2004). “Optimal Routh approximants through integral squared error minimisation: Computer- aided approach, “IEE Proc., Contr. Theory Appl., Vol. 151,No.1 pp. 53-58.

[2]. Kennedy, J., &. Eberhart, R. C. (1995). “Particle swarm optimization”, IEEE Int.Conf. on Neural Networks, IV, 1942- 1948, Piscataway, NJ,

[3]. Krishnamurthy, V., & Seshadri, V. (1978). “Model Reduction using the Routh stability criterion”, IEEE Trans. Automat. Control, Vol. AC-23, No. 4, pp. 729-731, August.

[4]. Hutton, M. F., & Friedland, B. (1975). “Routh approximation for reducing order of linear, time invariant systems”, IEEE Trans. Automat Control, Vol. AC-20, No. 3, pp. 329-337, June.

[5]. A Text book “Power System Analysis” by Hadi Saadat, 2 Edition ,McGraw-Hill Primis Custom Publishing.

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Research Paper

Implementation of PFC Converter fed DC Drive

R. Anushya * , Raja Prabu**

* Research Scholar, Sathyabama University, Chennai, India.

** Professor & Head, EEE Department. BSA Crescent University, Chennai, India.

R. Anushya and Raja Prabu (2011). Implementation of PFC Converter Fed DC Drive. i-manager’s Journal on Electrical Engineering, 4(4), 31-36. https://doi.org/10.26634/jee.4.4.1461

Abstract

In this paper, a systematic review of bridgeless power factor correction (PFC) boost rectifiers, also called dual boost PFC rectifiers, is presented. Simulation and analysis of bridgeless converter with motor load with its various performance characteristics are provided.

References

[1]. D.M. Mitchell, (1983). "AC-DC Converter having an improved power factor ",U.S. Patent ,412,277, Oct. 25,

[2]. A. F. Souza and I. Barbi, (1999). “High power factor rectifier with reduced conduction and commutation losses,” in Proc. Int. Telecommunication Energy Conf., Jun. pp. 8.1.1–8.1.5.

[3]. T. Ernö and M. Frisch, (2004). “Second generation of PFC solutions,” in Proc. Power Electronics Europe, No. 7, pp. 33–35.

[4]. D. Tollik and A. Pietkiewicz, (1992). “Comparative analysis of 1-phase active power factor correction topologies,” in Proc. Int. Telecommunication Energy Conf., Oct. pp. 517–523.

[5]. J. Liu, W. Chen, J. Zhang, D. Xu, and F. C.Lee, (2001). “Evaluation of power losses in different CCM mode singlephase boost PFC converters via simulation tool,” in Rec. IEEE Industry Applications Conf., Sep, pp.2455–2459.

[6]. H. Ye, Z. Yang, J. Dai, C. Yan, X. Xin, and J. Ying, (2004). “Common mode noise modeling and analysis of dual boost PFC circuit,” in Proc. Int. Telecommunication Energy Conf., Sep., pp. 575–582.

[7]. B. Lu, R. Brown, and M. Soldano, (2005). “Bridgeless PFC implementation using one cycle control technique,” in Proc. IEEE Applied Power Electronics Conf., Mar., pp. 812–817.

[8]. P. Kong, S.Wang, and F.C. Lee, (2006). “Common mode EMI noise suppression in bridgeless boost PFC converter,” in Proc. CPES Power Electronics Conf., Apr., pp. 65–70.

[9]. J.C. Salmon, (1992). “Circuit topologies for singlephase voltage-doubler boost rectifiers,” in Proc. IEEE Applied Power Electronics Conf.,Mar., pp. 549–556.

[10]. P. N. Enjeti and R. Martinez, (1993). “A high performance single phase AC to DC rectifier with input power factor correction,” in Proc. IEEE Applied Power Electronics Conf., Mar., pp. 190–195.

[11]. A.F. Souza and I. Barbi, (1995). “A new ZCS quasiresonant unity power factor rectifier with reduced conduction losses,” in Proc. IEEE Power Electronics Specialists Conf., Jun., pp. 1171–1177.

[12] A.F. Souza and I. Barbi, (1995). “A new ZVSPWM unity power factor rectifier with reduced conduction losses,” IEEE Trans. Power Electron.,Vol. 10, No. 6, pp. 746–752, Nov.

[13] R. Martinez and P.N. Enjeti, (1996). “A high performance single phase AC to DC rectifier with input power factor correction,” IEEE Trans. Power Electron., Vol. 11, No. 2, pp. 311–317, Mar.

[14] A.F. Souza and I. Barbi, (1999). “A new ZVS semiresonant high power factor rectifier with reduced conduction losses,” IEEE Trans. Ind. Electron., Vol. 46, No. 1, pp. 82–90, Feb.

[15]. J.-W. Lim and B.-H. Kwon, (1999). “A powerfactor controller for singlephase PWM rectifiers,” IEEE Trans. Ind. Electron., Vol. 46, No. 5, pp.1035–1037, Oct.

[16]. U. Moriconi, (2002). “A bridgeless PFC configuration based on L4981 PFC controller,” Application Note AN 1606, STMicroelectronics 1/18–18/18 Nov.

[17]. C.M. Wang, (2003). “A novel zero-voltage switching PWM boost rectifier with high power factor and low conduction losses,” in Proc. Int. Telecommunication Energy Conf., Oct., pp. 224–229.

[18]. F.K.A. Lima, C.M.T. Cruz, and F.L.M. Antunes, (2004). “A family of turn-on and turn-off nondissipative passive snubbers for soft-switchingsingle-phase rectifier with reduced conduction losses,” in Proc. IEEE Power Electronics Specialists, Jun. ,pp. 3745–3750.

[19]. C. M. Wang, (2005). “A novel ZCS PWM power factor preregulator with reduced conduction losses,” IEEE Trans. Ind. Electron., Vol. 52,No. 3,pp. 689–700, Jun.

[20] W.-Y. Choi, J.-M. Kwon, E.-H. Kim, J.-J.Lee, and B.-H. Kwon, (2007). “Bridgeless boost rectifier with low conduction losses and reduced diode reverse-recovery problems,” IEEE Trans. Ind. Electron., Vol. 54, No. 2, pp. 769–780, Apr.

[21]. J.C. Salmon, (1995). “Circuit topologies for PWM boost rectifiers operated from 1-phase and 3-phase ac supplies and using either single or split dc rail voltage outputs,” in Proc. IEEE Applied Power Electronics Conf.,Mar.,pp. 473–479.

[22]. A. F. Souza and I. Barbi, (1999). “High power factor rectifier with reduced conduction and commutation losses,” in Proc. Int. Telecommunication Energy Conf., Jun., pp. 8.1.1–8.1.5.

[23]. T. Ernö and M. Frisch, (2004). “Second generation of PFC solutions,” in Proc. Power Electronics Europe,, No. 7, pp. 33–35.

i-manager's Journal on Electrical Engineering (JEE)

Current Issue Vol. 17 Issue 2

Most Read

Most Cited

Volume 4 Issue 4 April - June 2011

A Simulation of Heat Flow in porous Metal workpiece using Artificial Feedback Neural Networks

Prabhu S. M* , Abbas Mohadeen**

* Director of Research, NIMS University, Jaipur. ** Principal, Maamallan Institute of Technology Perumbudur.

Prabhu S.M, and Abbas Mohadeen (2011). A Simulation Of Heat Flow In Porous Metal Workpiece Using Artificial Feedback Neural Networks. i-manager’s Journal on Electrical Engineering, 4(4), 1-8. https://doi.org/10.26634/jee.4.4.1451

Abstract

References

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Hybrid Fuzzy-PI Controller for the Speed Control of Switched Reluctance Motors

Dr. Venkata Reddy* , M. Vijaya Kumar**

* Assistant Professor, Department of EEE, Jawaharlal Nehru Technological University, Kakinada. ** Professor, Department of EEE, JNTUA College of Engineering, Jawaharlal Nehru Technological University, Anantapur.

K. Venkata Reddy and M. Vijaya Kumar (2011). Hybrid Fuzzy-PI Controller for the Speed Control of Switched Reluctance Motors. i-manager’s Journal on Electrical Engineering, 4(4), 9-13. https://doi.org/10.26634/jee.4.4.1453

Abstract

References

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A Comparison of Computing techniques for the Optimal Power Flow Problem

Akula Venkata Naresh*

*Associate Professor, Department of EEE, DVR & Dr. HS MIC College of Technology, Andhra Pradesh, India. ** Senior Associate Professor, Department of EEE, JNTU College of Engineering, Hyderabad, Andhra Pradesh, India.

A.V. Naresh Babu and S. Sivanagaraju (2011). A Comparison Of Computing Techniques For The Optimal Power Flow Problem. i-manager’s Journal on Electrical Engineering, 4(4), 14-18. https://doi.org/10.26634/jee.4.4.1454

Abstract

References

Full Article (HTML)

Pdf

Development of Speech Corpora for Speaker Recognition Systems

Piyush Lotia* , M.R. Khan**

* Research Scholar, Electronics and Telecommunication CSVTU Bhilai. ** Principal, New Government Engineering College Raipur.

Piyush Lotia and M.R. Khan (2011). Development of Speech Corpora for Speaker Recognition Systems. i-manager’s Journal on Electrical Engineering, 4(4), 19-25. https://doi.org/10.26634/jee.4.4.1455

Abstract

References

Full Article (HTML)

Pdf

Model Reduction of Linear Systems by PSO Technique based on ISE, Circumvented by Equality Constraints

U. Salma* , K. Vaisakh*****

U. Salma, K. Vaisakh and G. Murali Krishna (2011). Model Reduction of Linear Systems by PSO Technique based on ISE, Circumvented by Equality Constraints. i-manager’s Journal on Electrical Engineering, 4(4), 26-30. https://doi.org/10.26634/jee.4.4.1458

Abstract

References

Full Article (HTML)

Pdf

Implementation of PFC Converter fed DC Drive

R. Anushya * , Raja Prabu**

* Research Scholar, Sathyabama University, Chennai, India. ** Professor & Head, EEE Department. BSA Crescent University, Chennai, India.

R. Anushya and Raja Prabu (2011). Implementation of PFC Converter Fed DC Drive. i-manager’s Journal on Electrical Engineering, 4(4), 31-36. https://doi.org/10.26634/jee.4.4.1461

Abstract

References

Full Article (HTML)

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* Director of Research, NIMS University, Jaipur.

** Principal, Maamallan Institute of Technology Perumbudur.

* Assistant Professor, Department of EEE, Jawaharlal Nehru Technological University, Kakinada.

** Professor, Department of EEE, JNTUA College of Engineering, Jawaharlal Nehru Technological University, Anantapur.

*Associate Professor, Department of EEE, DVR & Dr. HS MIC College of Technology, Andhra Pradesh, India.

** Senior Associate Professor, Department of EEE, JNTU College of Engineering, Hyderabad, Andhra Pradesh, India.

* Research Scholar, Electronics and Telecommunication CSVTU Bhilai.

** Principal, New Government Engineering College Raipur.

* Research Scholar, Sathyabama University, Chennai, India.

** Professor & Head, EEE Department. BSA Crescent University, Chennai, India.