Some Problems in Thermoplasticity


Lakshmi Kanta Roy,



This paper is concerned with some radially and axially symmetric problems of Thermoplasticity of perfectly plastic and work-hardening material. The case of circular cylinder, circular beam of rectangular cross-section and hollow sphere of perfectly plastic and linear work-hardening material satisfying thermoplasticity equations have been investigated


Lakshmi Kanta Roy,Perfectly Plastic material,Linear Work-hardening material,


IBishop, R.F., Hill, R.And Mott, N.F. (1969), Proc. Phys.Soc.57.147.

II. Boley, A.B. and Weiner, J.H. (1967), Theory of Thermal stresscs, p-288.

III. Carslaw, H.S. and Jaeger, J.C. (1959), Conduction of heat in solids.

IV. Goerens, P. and Mailander, R. (1927), Abhangigkeit der mechanishen Engenschaften der stahle und andever Metallen von temperature Forschungsarfeiten VDI.

V. Hill, R.(1950),Theory of plasticity, Oxford University Press.VI. Hopkins, H.G. (1960), Progress in solid Mechanics Vol.-I.

VII. Rogozinski, M. (1954), Non-homogenity in elasticity and Plasticity

VIII. Roy, Lakshmikanta, Journal of Mechanics of Continua & Mathematical Sciences, Vol.2, No.-2,P-80-90,July-2007.

IX. Roy, Lakshmikanta, Journal of Mechanics of Continua & Mathematical Sciences, Vol.10, No.-2,P-1511-1520,January-2016.

X. Sengupta, P.R. (1969), Ind. Jour. Mech and Math. Special Issue Part II p. 80.

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Similarity solution of heat and mass transfer of a thin liquid film over moving saturated porous medium in presence of thermal radiation


Rabeya Akter,Md. Hasanuzzaman,Akio Miyara,



Similarity solution ofheat and mass transfer in a thin liquid film over amoving saturated porous medium in the presence of thermal radiation has been considered. By using shooting technique, the governing coupled nonlinear partial differential equations are transformed into coupled nonlinear ordinary differential equations in MATLAB.The flow phenomenon has been characterized with the help of obtained flow controlling parameters such asPrandtl number, Darcy number, Schmidt numberand other driving parameters. The effects of dimensionless parameters on the boundary layer velocity, temperature and concentration profiles are presented both analytically and graphically.Moreover, the physical parameters such as skin friction, local Nusselt number as well as local Sherwood number are presented both analytically and graphically.


Numerical solution,moving sheet,porous medium, thermal radiation,thin liquid film,


I.Chang CL, Lee ZY. Free convection on a vertical plate with uniform andconstantheat flux in athermally stratified micropolar fluid, Mech Res Commun.35(2008), 421–427.

II.Cheng CY. Combined heat and mass transfer in natural convection flow from a vertical wavy surfacein a power-law fluid saturated porous medium with thermal and mass stratification,Int Commun Heat Mass Transfer 36(2009), 351–356.

III.Cheng, P., Combined free and forced convection flow about inclined surfaces in porous media,Int. J. Heat Mass Transfer 20(1977),807–814.

IV.Cheng, P., Minkowycz, W.J., Free convection about a vertical flat plate embedded in a porous medium with application to heat transfer from a dike,J. Geophys. Res. 82(1977), 2040–2044.

V.Crane, L.J., Flow past a stretching plane,Z. Angew. Math. Phys. 21(1970), 645–647.VI.C.Y. Wang, Liquid film on an unsteady stretching sheet, Quarter. Appl. Mathe. 48 (1990) 601–610.

VII.Dutta, B.K., Gupta, A.S., Cooling of a stretching sheet in a viscous flow, Ind. Eng. Chem. Res.26(1987), 333–336.

VIII.Gupta, P.S., Gupta, A.S., Heat and mass transfer on a stretching sheet with suction or blowing,Can. J. Chem. Eng. 55(1977), 744–746.

IX.H.I. Andersson, J.B. Aarseth, B.S. Dandapat, Heat transfer in a liquid film on an unsteady stretching surface, Int. J. Heat Mass Transfer (2000) 69–74.

X.Hooper, W.B., Chen, T.S., Armaly, B.F., Mixed convection from a vertical plate in porous media with surface injection or suction,Numer. Heat Transfer 25(1993), 317–329.

XI.IbrahimW, Makinde OD. The effect of double stratification on boundary-layer flow and heat transfer of nanofluid over a vertical plate,Comp Fluids 86(2013), 433–441.

XII.I.C. Liu, H.I. Andersson, Heat transfer in a liquid film on an unsteady stretching sheet, Int. J. Therm. Sci. 47 (2008) 766–772.

XIII.Wright, S.D., Ingham, D.B., Pop, I., On natural convection from a vertical plate with a prescribed surface heat flux in porous media,Trans. Porous Med. 22(1996), 181–193.

XIV.Merkin, J.H., On dual solutions occurring in mixed convection in a porous medium,J. Eng. Math. 20(1985), 171–179.

XV.Noor, N.F.M., Hashim, I., Thermocapillarity and magnetic field effects in a thin liquid film on anunsteady stretching surface, Int. J. Heat Mass Transfer 53(2010), 2044–2051.

XVI.Raptis, A., Flow of a micropolar fluid past a continuously moving plate by the presence of radiation,Int. J. Heat Mass Transfer 41(1998), 2865–2866.XVII.Raptis, A., Radiation and viscoelastic flow,Int. Commun. Heat Mass Transfer 26(1999), 889–895.

XVIII.Srinivasacharya D, Reddy CR. Effect of double stratification on mixed convection in a micropolar fluid, Matematika. 28(2012), 133–149.

XIX.Srinivasacharya D, Surender O. Effect of double stratification on mixed convection boundary layer flow of a nanofluid past a vertical plate in a porous medium,Appl Nanosci. 5(2015), 29–38.

XX.Srinivasacharya D, Surender O. Non-Darcy mixed convection in a doubly stratified porous medium with Soret-Dufour effects,Int J Eng Math. 2014(2014), 126218.

XXI.Wright, S.D., Ingham, D.B., Pop, I., On natural convection from a vertical plate with a prescribed surface heat flux in porous media,Trans. Porous Med. 22(1996), 181–193.

XXII.Yih, K.A., The effect of uniform lateral mass flux on free convection about vertical cone embedded in a saturated porous medium. Int. Commun. Heat Mass Transfer 24(1997.) 1195–1205.

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Biomethanation – A source of clean alternative fuel for Electric Power Generation and sustainable development in rural India


Sujit Dhar,Biswajit Dutta,Pradip Kumar Sadhu,Debabrata Roy,Ankur Ganguly,



Biogas is obtained from biomethanation of biomass waste. The present work aims at a detailed discussion of the different factors affecting the perforation of biomethanation process. Some case studies have been presented to show the techno-economical feasibility of different plants, based on different locally available biomass. In most of the cases plants are installed against adequate financial support with subsidy, but the performance of the plants is being affected due to lack of technical knowhow. Effects of different process parameters such as PH-value, temperature, C/N ratio on biogas generation, needs to be taken care of to ensure maximum generation rate with highest yield. Since biomass is locally available, harnessing energy from it may be a probable solution to end the energy crisis in rural areas which are remote from the power grid, thereby providing immense potential for electrification, application to a large number of industries and last but not the least domestic purpose using Biogas.


Non-conventionalenergy,Bio-methanation,Bio-gas plant,Economic analysis,


I.Achawangkul,Y.,Maruyama,N.,Hirota,M.,Chaichana,C., &Sutabutr,T. (2016). Evaluation on environmental impact from the utilization of fossil fuel, electricity and biomass producer gas in the double-chambered crematories. Journal of Cleaner Production, ISSN: 0959-6526,134(B), 463-468.

II.Aneke,M.,&Wang,M. (2017).Thermodynamic Comparison of alternative Biomass Gasification Techniques for producing Syngas for Gas Turbine Application. Energy Procedia, ISSN: 1876-6102, 142, 829-834.

III.Baul,T.K., Datta,D., &Alam,A. (2018).A comparative studyon household level energy consumption and related emissions from renewable (biomass) and non-renewable energy sources in Bangladesh. Energy Policy, ISSN: 0301-4215, 114, 598-608.

IV.Belviso,C. (2018).State-of-the-art applications of fly ash from coal and biomass: A focus on zeolite synthesis processes and issues. Progress in Energy and Combustion Science,ISSN: 0360-1285, 65, 109-135.

V.Duque,A.,Manzanares,P., &Ballesteros,M. (2017).Extrusion as apretreatment for lignocellulosic biomass: Fundamentals and applications.Renewable Energy,ISSN: 0960-1481, 114(B), 1427-1441.

VI.Ferreira,S.,Monteiro,E,Brito,P., &Vilarinho,C. (2017).Biomass resources in Portugal: Current status and prospects. Renewable and Sustainable Energy Reviews, ISSN: 1364-0321, 78, 1221-1235.

VII.Geels,F. W., &Johnson,V. (2018). Towards a modular and temporalunderstanding of system diffusion: Adoption models and socio-technical theories applied to Austrian biomass district-heating (1979–2013). Energy Research & Social Science,ISSN: 2214-6296, 38, 138-153.

VIII.Halder, P.K.,Paul, N., &Beg, M.R.A.(2014).Assessment of biomass energy resources and related technologies practice in Bangladesh. Renewable and Sustainable Energy Reviews, ISSN: 1364-0321, 39, 444-460.

IX.Hamamre,Z. A., Saidan,M.,Hararah,M.,Rawajfeh,K., &Shannag,M. A. (2017). Wastes and biomass materials as sustainable-renewable energy resources for Jordan. Renewable and Sustainable Energy Reviews,ISSN: 1364-0321, 67, 295-314.

X.Hossen, M. M., Rahman, A. H. M. S.,Sara Kabir, A. S., Hasan, M. M. F., &Ahmed, S. (2017). Systematic assessment of the availability and utilization potential of biomass in Bangladesh. Renewable and Sustainable Energy Reviews, ISSN: 1364-0321,67, 94-105.

XI.Islam, M. S., Akhter, R., &Rahman, M. A. (2018). A thorough investigation on hybrid application of biomass gasifier and PV resources to meet energy needs for a northern rural off-grid region of Bangladesh: A potential solution to replicate in rural off-grid areas or not?.Energy, ISSN: 0360-5442,145, 338-355.

XII.Isoni, V.,Kumbang, D.,Sharratt, P.N., &Khoo, H.H.(2018). Biomass to levulinic acid: A techno-economic analysis and sustainability of biorefinery processes in Southeast Asia.Journal of Environmental Management,ISSN: 0301-4797, 214, 267-275.

XIII.Jiang, Y., Werf, E. V. D., Ierland,E. C. V., &Keesman,K. J. K. (2017). The potential role of waste biomass in the future urban electricity system. Biomass and Bioenergy,ISSN: 0961-9534, 107, 182-190.

XIV.Khare, R., &Kumar,Y. (2016). A novel hybrid MOL–TLBO optimized techno-economic-socio analysis of renewable energy mix in island mode. Applied Soft Computing,ISSN: 1568-4946, 43, 187-198.

XV.Kim, S. B., Kim, D. S., Yang, J. H., Lee, J., &Kim, S. W. (2016). Utilization of hydrolysate from lignocellulosic biomass pretreatment to generate electricity by enzymatic fuel cell system.Enzyme and Microbial Technology, ISSN: 0141-0229, 85, 2016, Pages 32-37.

XVI.Macedo, W. N., Monteiro, L. G., Corgozinho, I. M., Macêdo, E. N., &Bacha, L. (2016) Biomass based microturbine system for electricity generation for isolated communities in amazon region. Renewable Energy,ISSN: 0960-1481, 91, 323-333.

XVII.Mamvura,T.A.,Pahla, G., &Muzenda,E. (2018).Torrefaction of waste biomass for application in energy production in South Africa.South African Journal of Chemical Engineering,ISSN: 1026-9185, 25, 1-12.

XVIII.Mendes, F.M.,Dias, M.O.S.,Ferraz, A.,Milagres, A.M.F. &Bonomi,A. (2017). Techno-economic impacts of varied compositional profiles of sugarcane experimental hybrids on a biorefinery producing sugar, ethanol and electricity. Chemical Engineering Research and Design,ISSN: 0263-8762, 125, 72-78.

XIX.Monroy,C. R.,Acitores,C. M., &Cifuentes,G. N. (2018).Electricity generation in Chile using non-conventional renewable energy sources –A focus on biomass.Renewable and Sustainable Energy Reviews, ISSN: 1364-0321, 81(1), 937-945.

XX.Osikowska,A. S., Kotowicz, J., &Uchman,W. (2017). Thermodynamic assessment of the operation of a self-sufficient, biomass based district heating system integrated with a Stirling engine and biomass gasification.Energy,ISSN: 0360-5442, 141, Pages 1764-1778.

XXI.Proskurina,S.,Heinimö,J.,Schipfer,F., &Vakkilainen,E. (2017).Biomass for industrial applications: The role of torrefaction.Renewable Energy, ISSN: 0960-1481, 111, 265-274.

XXII.Qin, Z., Zhuang, Q., Cai, X., He, Y., &Wang, M. Q. (2018). Biomass and biofuels in China: Towardbioenergy resource potentials and their impacts on the environment.Renewable and Sustainable Energy Reviews,ISSN: 1364-0321, 82(3), 2387-2400.

XXIII.Sansaniwal, S.K.,Rosen, M.A., &Tyagi S.K.(2017).Global challenges in the sustainable development of biomass gasification: An overview. Renewable and Sustainable Energy Reviews, ISSN: 1364-0321, 80, 23-43.

XXIV.Sarkis, R. B., &Zare, V. (2018). Proposal and analysis of two novel integrated configurations for hybrid solar-biomass power generation systems: Thermodynamic and economic evaluation. Energy Conversion and Management, ISSN: 0196-8904, 160, 411-425.

XXV.Schuenemann, F.,Msangi, S.,&Zeller, M. (2018). Policies for a Sustainable Biomass Energy Sector in Malawi: Enhancing Energy and Food Security Simultaneously.World Development, ISSN: 0305-750X, 103, 14-26.

XXVI.Suzuki,K.,Tsuji, N., Shirai,Y., Hassan, M. A., &Osaki,M. (2017). Evaluation of biomass energy potential towards achieving sustainability in biomass energy utilization in Sabah, Malaysia. Biomass and Bioenergy, ISSN: 0961-9534,97, 149-154.]

XXVII.Tan,S. T.,Hashim,H.,Rashid,A. H. A.,Lim,J. S.,&Jaafar,A. B. (2018). Economic and spatial planning for sustainable oil palm biomass resources to mitigate transboundary haze issue.Energy, ISSN: 0360-5442, 146, 169-178.

XXVIII.Tan, S. T., Hashim, H., Rashid, A. H. A., Lim, J. S., &Jaafar, A. B. (2018). Economic and spatial planning for sustainable oil palm biomass resources to mitigate transboundary haze issue.Energy, ISSN: 0360-5442, 146, 169-178.

XXIX.Toklu, E. (2017). Biomass energy potential and utilization in Turkey. Renewable Energy, ISSN: 0960-1481,107, 235-244.

XXX.Verma,M.,Loha, C., Sinha, A. N., &Chatterjee,P. K. (2017).Drying of biomass for utilising in co-firing with coal and its impact on environment –A review.Renewable and Sustainable Energy Reviews, ISSN: 1364-0321, 71, 732-741.

XXXI.Wei, R., Zhang, L.,Cang,D.,Li, J., &Xu,C. C. (2017). Current status and potential of biomass utilization in ferrous metallurgical industry.Renewable and Sustainable Energy Reviews,ISSN: 1364-0321, 68(1), 511-524.

XXXII.Yu,J., &Smith,J.D.(2018).Validation and application of a kinetic model for biomass gasification simulation and optimization in updraft gasifiers.Chemical Engineering and Processing -Process Intensification, ISSN: 0255-2701,125, 214-226.

XXXIII.Zhang, X., Che, Q., Cui, X., Wei, Z., &Chen,H. (2018). Application ofbiomass pyrolyticpolygeneration by a moving bed: Characteristics of products and energy efficiency analysis. Bioresource Technology, ISSN: 0960-8524,254, 130-138.

XXXIV.Zimmer, T., Rudi, A., Müller, A. K., Fröhling, M., &Schultmann, F. (2017). Modeling the impact of competing utilization paths on biomass-to-liquid (BtL) supply chains. Applied Energy, ISSN: 0306-2619,208, 954-971.

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Steady State Stability Analysis of a CSI-fed synchronous motor drive using Digital modeling


Shazia Hasan,A.B.Chattopadhyay,Mohammed Abdul Jabbar,Sunil Thomas,



This paper develops a digital model of a current source Inverter fed three phase synchronous motor drive system from the view point of steady state stability aspect. The motivation lies in the fact that to control any electrical drive system digital controller is needed. To develop the software and hardware of such controller, a suitable digital model of the original drive system becomes necessary. Approach to develop the model in s-domain has been outlined and then z-transform has been applied. Different aspects of the model like the stability assessment using pole-zero mapping, Jury’s test, range of coefficients of characteristic equation for stability etc., have been computed leading to various graphical plots. Furthermore perturbation of machine design parameters have been modeled from the view point of stability assessment with necessary computational results.


CSI fed Synchronous Motor,Z transform,Jury‟s test,mpulse response, stability analysis,


I.A.B. Chattopadhyay, Sunil Thomas and Ruchira Chatterjee, “Analysis of Steady State Stability of a CSI Fed Synchronous Motor Drive System with Damper Windings included”, Trends in Applied SciencesResearch,2011.

II.A.B. Chattopadhyay and Sunil Thomas,2014.Modeling and Simulation of Current Source Inverter Fed Synchronous Motor in Complex Frequency Domain Taking the Transition Zone From Induction Motor to Synchronous Motor Mode into Account.Research Journal of Applied Sciences, Engineering and Technology,7(6):1489-1499. DOI: 10.19026/rjaset.7.424.

III.A.K Paul, I Banerjee, B K Santra and N Neogi”Application of AC motors and drives in Steel Industries” Fifteenth National Power Systems Conference (NPSC), IIT Bombay, December 2008.

IV.D.M. Van de Sype, ”Kleinsignaalmodellering van digitaal gestuurde schakelende energie-omzetters” PhD dissertation, Ghent University, 2004

V.D.M. Van de Sype, K. De Gussem, F. De Belie, A. Van den Bossche and J. Melkebeek, ”Small-signal z-domain analysis of digitally controlled converters” IEEE Transactions on Power Electronics, Vol. 21, Nr. 2, pp. 470-478,

VI.F. J. Lin, Y. T. Liu and W. A. Yu, “Power Perturbation Based MTPA With an Online Tuning Speed Controller for an IPMSM Drive System,” inIEEE Transactions on Industrial Electronics, vol. 65, no. 5, pp. 3677-3687, May 2018.doi:10.1109/TIE.2017.2762634.

VII.F. J. Lin, Y. C. Hung, J. M. Chen, C. M. Yeh, “Sensorless IPMSM drive system using saliency back-EMF-based intelligent torque observer with MTPA control”,IEEE Trans. Ind. Informat., vol. 10, no. 2, pp. 1226-1241, May,2014.

VIII.H. H. Choi, N. T. T. Vu, J. W. Jung, “Digital implementation of an adaptive speed regulator for a PMSM”,IEEE Trans. Power Electron., vol. 26, no. 1, pp. 3-8, Jan. 2011.

IX.H. Mahmoudi, M. Aleenejad and R. Ahmadi, “Modulated Model Predictive Control for a Z Source Based Permanent Magnet Synchronous Motor Drive System,” inIEEE Transactions on Industrial Electronics,vol. PP, no. 99,pp.1-1.doi:10.1109/TIE.2017.2787566.

X.L. Samaramayake and Y.K. Chin, “Speed synchronized control ofpermanent magnet synchronous motors with field-weakening,”International Conference on Power and Energy Systems, EuroPES2003, vol. 3, pp. 547-552, Sep. 2003.

XI.Pillay, P and Krishnan. R “Application Characteristics of Permanent Magnet Synchronous and Btushless dc Motors for Servo Wives”, IEEE Trans on Ind Applications, Vol 27, pp 986-996, 1991

XII.Shiyoung Lee, Byeong-Mun Song, Tae-Hyun Won “Evaluation of Software Configurable Digital Controller for the Permanent Magnet Synchronous Motor using Filed oriented Control”,42nd South Eastern Symposium on System Theory University of Texas at Tyler Tyler, TX, USA, March 7-9, 2010.

XIII.Yang Zheng, Z. Wang and Jianzhong Zhang, “Research of harmonics and circulating current suppression in paralleled inverters fed permanent magnet synchronous motor drive system,”2013 International Conference on Electrical Machines and Systems (ICEMS), Busan, 2013,pp. 1068-1073

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Frequency Diversity Improvement Factor Using Different MIMO Techniques for Rain Fade Mitigation in South-East Asia


Trilochan Patra,Sanjib Sil,Manabendra Maity,



Signal attenuation due to rain is an important barrier in the Microwave Communication field. In the terrestrial region like South-East Asia the microwave signals operating at higher frequency ranges are attenuated due to rain and other atmospheric obstacles like water vapor, ice particle etc. In this paper we have used different MIMO techniques like 2×2, 3×3 and 4×4 and also constructed a model. We study the frequency diversity improvement factor for the developed model for different fade margins using 4X4 MIMO techniques. Then we compare this study with ITU-R model. We have got the better result for prediction model using 4×4 MIMO techniques for the frequency range 50-90 GHz.


Frequency diversity,Diversity improvement factor,Rain fade mitigation,MIMO Techniques,


I.Charilaos, I.K. and Athanasios, D.P. „„Multi Satellite MIMO Systems at Ka Band and Above: Outage Capacity Analysis Using Bivariate IG Distribution‟‟. IEEE 8thEuropean conference on Antenna and propagation (EuCAP), The Hague, Netherlands, 6-11 April (2014).

II.Hodge, B. D. „„An Improved Model for Diversity Gain On Earth-Space Propagation Paths‟‟. Radio Sci., Volume 17, No.6, pp-1393–1399(1982).

III.Islam, M.R.; Altajjar, L.M; Rashid, M.M and Bashar, L.K. „„Frequency Diversity Improvement Factor for Rain Fade Mitigation in Malaysia‟‟ IEEE international WIE conference on electrical and computer engineering, BUET, Dhaka, Bangladesh, 19-20 Dec (2015).

IV.ITU-R (2012). Propagation Data And Prediction Methods Required For the Design of Terrestrial Line-of-Sight Systems. ITU-R P.530-14.

V.ITU-R (2013) Propagation Data And Prediction Methods Required For the Design Of Earth-Space Telecommunication Systems. ITU-R P.618/11.

VI.Islam,M.R;Chebil, Jand Tharek, A.R.“Frequency Scaling of Rain Attenuation From 23-To 38-GHz Microwave Signals Measured In Malaysia”, Proceedings of Asia Pacific Microwave Conference (APMC), Singapore, 30 Nov –3 Dec(1999).

VII.Kesavan,U;Tharek,A.R;Rahim, S.K.A& Islam,M.R.“Review of Rain Attenuation Studies in Tropical and Equatorial Regions in Malaysia –An Overview”, Antennas and Propagation Magazine, IEEE, Volume: 55,No.1, pp. 103-113 (2013).

VIII.Laster, J.D and Stutzman, W.L.„„Frequencyscaling of rain attenuation for satellite communication links‟‟.IEEE Transactions on Antennas and Propagation, vol-43,No (11),pp-1207-1216 (1995)

IX.Majithiya,P; Sisodia, K.A; Muralidhar, Vand Garg, K.V.„„Novel down link rain fade mitigation technique for Ka-band multibeam systems‟‟ International journal of Satellite communication and networking, Wiley InterScience, pp-45-51(2006).

X.Pan, Q. W., Allnutt, J. E., and Tsui C. „„Evaluation of Diversity and Power Control Techniques for Satellite Communication Systems in Tropical and Equatorial Rain Climates‟‟. IEEE Transactions on Antennas and Propagation, Vol. 56, No. 10(2008).

XI.Patra,T andSil, S „„Frequency Diversity Improvement factor for Rain Fade Mitigation Technique for 50-90 GHz in tropical region‟‟ IEEE conference (IEMECON), Thailand, 16-18 August (2017).

XII.Saam,J.T.„„Protocols for Rain Fade Mitigation Using Simultaneous X/Ka Communications‟‟ published in IEEE military communication conference,San Jose, CA, USA.,31ST-3RDNov(2010)

XIII.Sachdeva,N andSharma, D. „„Diversity: A Fading Reduction technique‟‟. IJARCSSE, Volume 2, No.6, pp-58-61 (2012). XIV.Segal, B “Rain Attenuation Statistics for Terrestrial Microwave Links in Canada”, Commun. Res. Centre Rep.No. 1351-E, Ottawa, Canada, pp. 14, Jan. (1982).

XV.Tamrakar,M; Bandyopadhyay, K and De, A„„Comparison of Rain Attenuation Prediction Models with Ku-Band Beacon Measurement for Satellite Communication System‟‟ IEEE international conference on signal processing and communication (SPCOM),Bangalore, India, 18-21 July (2010).

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Rprop Based Noble Blind Channel Equalization Algorithm for QAM Signal


Prakhar Priyadarshi,C. S. Rai,



In this paper, authors have considered the issue of slow convergence and moderate Bit Error Rate (BER) of Constant Modulus Algorithm used for channel equalization. Constant Modulus Algorithm (CMA), an extensively used gradient descent based unsupervised algorithm for QAM Signal, suffers from the poor convergence property as well as poor BER. Two novel blind equalization algorithms have been proposed which overcomes the problem of slow convergence and poor BER associated with CMA. Proposed algorithm incorporates modified CMA-like error function based on mean forth error criteria into Rprop frame work. Matlab Simulation of the proposed Rprop Based Improved Constant Modulus Type (RICMT) algorithm offers better result in terms of convergence, inter symbol interference (ISI) and bit error rate (BER) in a linear channel as well as for nonlinear channel in comparison to the CMA Equalizer for noisy environment.


Equalization,CMA,Mean Forth Error,Rprop,Convergence, Low BER,


I.Benveniste, M. Goursat, and G. Ruget, ―Robust identification of a non minimum phase system: Blind adjustment of a linear equalizer in data communications,‖ IEEE Trans. Autom. Control, vol. AC-25, no. 3, pp385–399 ,(1980)

II.Christian Igel, Michael Husken ―Empirical evaluation of the improved Rprop learning algorithms‖ Neurocomputing vol.50,Elsevier publication ,pp 105 –123, (2003)

III.D.N. Godard, ―Self-recovering equalization and carrier tracking in two dimensional data communication systems‖, IEEE trans. on comm., Vol. 28, No. 11, (1980)

IV.Geng Nian, XUE Ni, RU Guobao ―Blind Equalization Algorithm Based on MCMA and DSE-CMA‖Wuhan Univ. J. Nat. Sci.Vol.13 No.1 pp 67-70,(2008)

V.Haykins ,― Adaptive Filter Theory‖, 4th edition, Pearson Education

VI.J. Yang, J.-J. Werner, and G. A. Dumont, ―The multimodulus blind equalization and its generalized algorithms,‖ IEEE Journal on selected areas in communication, Vol. 20, pp 997-1015, (2002)

VII.Johnson, Schniter, Endres, Behm, Brown & Casas, ―Blind equalization using the constant modulus criterion : A review‖ appeared in the proceeding of the ,IEEE (1998)

VIII.Kavita Burse, R. N. Yadav, and S. C. Shrivastava, ―Channel Equalization Using Neural Networks: A Review‖ IEEE Transaction On Systems, Man, And Cybernetics—Part C: Applications And Reviews, Vol. 40, No. 3, pp 352-357, (2010)

IX.L.M. Patnaik, K. Rajan ―Target detection through image processing and resilient propagation algorithms‖, Neurocomputing vol. 35, Elsevier publication, pp 123–135,(2000)

X.M. Riedmiller, ―Advanced supervised learning in multi-layer perceptrons—from back propagation to adaptive learning algorithms‖, Computer. Standards Interfaces 16, pp 265–278,(1994)

XI.Musa U. Otaru , Azzedine Zerguine ,Lahouari Cheded ―Channel equalization using simplified least mean-fourth algorithm‖ Digital Signal Processing ,Elsevier Publication, pp 447–465 , (2011)

XII.Prakhar Priyadarshi, C.S.Rai ―Blind Channel Equalization using Modified Constant Modulus Algorithm‖ International Conference on Computing, Communication and Automation (ICCCA), pp 1020-1024, (2016)

XIII.S.M. Shah , R. Samar ,S.M.R. Naqvi ,J.A. Chambers, ―Fractional order constant modulus blind algorithms with application to channel equalisation‖ ,Electronics Letter, IET, Volume: 50,pp 1702 -1704 ,(2014)

XIV.Shafayat Abrar, and Syed Ismail Shah, ―New Multimodulus Blind EqualizationAlgorithm With Relaxation‖IEEE Signal Processing Letters, Vol. 13, No. 7, pp 425-428 ,(2006)

XV.Shalvi, O. and Weinstein, E, ―New criteria for blind deconvolution of non minimum phase systems (channels)‖, IEEE Trans. Inform. Theory,(1990)

XVI.Zhang Liyi ,Chen Lei ,Sun Yunshan―Variable Step-size CMA Blind Equalization based on Non-linear Function of Error Signal‖, WRI International conference on Communications and Mobile Computing, CMC ’09.,(2009)

XVII.Zhao Baofeng ; Zhao Jumin ; Li Dengao, ―A New Variable Step-size Constant Modulus Blind Equalization Algorithm‖ IEEE International Conference Artificial Intelligence and Computational Intelligence (AICI), (2010)

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To Negate the influences of Un-deterministic Dispersed Generation on Interconnection to the Distributed System considering Power Losses of the system


Muhammad Aamir Aman,Muhammad Zulqarnain Abbasi,Murad Ali,Akhtar Khan,



Now a days, the rapid need for electrical energy all over the world has put electrical power system under great stress. Due to day by day decrease in available conventional energy sources, researchers are shifting towards non-conventional energy resources or Dispersed generation (DG). DG is becoming a feasible alternative to overcome the power deficiency due to reduction in power losses, system reliability, and availability of power at consumer’s premises. With this need of DG, it’s important to analyze the adverse impact of DG on distributed power system. This research analyzes the effects of induction generator and synchronous generators on distribution system. The main outcome and objective of this research is to find optimum type, size and placement of DG to be injected in distributed system in order to have minimum impact on power losses of the system. By using globally renowned and modern software Electrical Transient Analyzer Program (ETAP) and taking Rahman Baba electricity distribution network as a test case. After analyzing, the results show that injecting DG has positive impacts on power losses at certain buses while 30% of power losses were decreased when induction generator as a DG unit was integrated with the distribution network in the optimum location. Also positive impacts of DG unit on power losses has been seen by injecting undeterministic small amount of synchronous generator as a DG unit and by increasing cross-sectional area of the conductor has showed much improvement in power losses.


Dispersed Generation,Power losses, Radial Distributed System,Synchronous generator,Induction generator,


I.AlRuwaili, M. O., Vaziri, M. Y., Vadhva, S., & Vaziri, S. (2013, April). Impact of distributed generation on voltage profile of radial power systems. In Green Technologies Conference, 2013 IEEE (pp. 473-480). IEEE.

II.A. Bayat, A. Bagheri, and R. Noroozian, “Optimal siting and sizing of distributed generation accompanied by reconfiguration of distribution networks for maximum loss reduction by using a new uvda-based heuristic method,” International Journal of Electrical Power & Energy Systems, vol. 77, pp. 360–371, 2016.

III.A. Saidian, D. Mirabbasi, and M. Heidari, “The effect of size of dg on voltage flicker and voltage sag in closed-loop distribution system,” in Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on. IEEE, 2010, pp. 68–72.

IV.Caples, D., Boljevic, S., & Conlon, M. F. (2011, May). Impact of distributed generation on voltage profile in 38kV distribution system. InEnergy Market (EEM), 2011 8th International Conference on the European(pp. 532-536). IEEE.

V.Chen, P. C., Salcedo, R., Zhu, Q., De Leon, F., Czarkowski, D., Jiang, Z. P., … & Uosef, R. E. (2012). Analysis of voltage profile problems due to the penetration of distributed generation in low-voltage secondary distributionnetworks. IEEE Transactions on Power Delivery, 27(4), 2020-2028.

VI.Engr. Syed Ashraf Ali, Engr. Syed Haider Ali, Engr. Sajid Nawaz Khan, Engr. Muhammad Aamir “Energy Harvesting for Remote Wireless Sensor Network Nodes”(IJACSA) International Journal of Advanced Computer Science and Applications,Vol. 9, No. 4, 2018

VII.Muhammad Zulqarnain Abbasi, M. Aamir Aman, Hamza Umar Afridi, Akhtar Khan. “Sag-Tension Analysis of AAAC Overhead Transmission lines for Hilly Areas” International Journal of Computer Science and Information Security (IJCSIS), Vol. 16, No. 4, April 2018

VIII.P. Mohammadi, H. El-Kishyky, M. Abdel-Akher, and M. Abdel-Salam, “The impacts of distributed generation on fault detection and voltage profile in power distribution networks,” in Power Modulator and High Voltage Conference (IPMHVC), 2014 IEEE International. IEEE, 2014, pp. 191–196.

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A new co-ordinated hybrid fuzzy logic and particle swarm optimization based PID controller for speed control of DC servomotor


Arnob Senapati,Akash Maitra,Saswata Das,Souvik Chatterjee,Binanda Kishore Mondal,Abhishek Kumar Kashyap,Sudipta Ghosh,



The speed control is an interesting and important term in control system engineering. Speed of the DC servomotor has to be varied according to application requirement. According to requirement suitable controllers and algorithm are use to achieve best control over speed. PID controller is a well known controller which is used in feedback control in industrial application. But in some industrial application the speed control with PID controller is not able to achieve the perfect control due to non linear element present in the system. Therefore in this research the Particle Swarm Optimization based PID controller and Hybrid Fuzzy Logic Controller are use to overcome this problem. Fuzzy logic control offers an improvement in the quality of the speed response concentrated by emulating the expert and implemented in language based on operator’s experience. Particle Swarm Optimization algorithm on the PID controller is an advanced approach for getting a stable and linear response of any system. PSO is a population based stochastic optimization technique is initialized with a population of random solutions and searches for optima by updating generations. A comparative analysis of performance analysis both the controllers have been done.


Speed Contro,DC Servomoto, PID,PSO,Fuzzy,Hybrid Fuzzy,


I.Abhishek Kumar Kashyap,Binanda Kishore Mondal, Souvik Chattarjee, Sudipta Ghosh.A New Approach to Improve the Performance ofPosition Control of DC Servo Motor by Using FuzzyLogic Controller,J.Mech.Cont. & Math. Sci., Vol.-10, No.-2, January (2016) Pages 1551-1557.

II.Arnob Senapati, Abhishek Kumar Kashyap, Binanda Kishore Mondal, Souvik Chattarjee, Speed Performance Analysis and Control of DC Servomotor Using Linear & Nonlinear Controller, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 6 Issue III, March 2018

III.BettayebMaâmar, Mansouri Rachid, IMC-PID-fractional-order-filter controllers design for integer order systems, 2014 ISA, Published by Elsevier Ltd.

IV.Changliang Xia, Peijian Guo, Tingna Shi and Mingchao Wang, Speed Control of Brushless DC Motor Using Genetic Algorithm Based Fuzzy Controller, International Conference on Intelligent Mechatronics and Automation Chengdu,China August 2004,IEEE Proceedings ofthe 2004.

V.J.Archana, P.Suganthini, C.Malathi, DC Motor Speed Control Using Matlab,International Journal of Scientific Research Engineering & Technology (IJSRET), Volume 2 Issue 12 pp 832-834 March 2014.

VI.Katsuhiko Ogata, Modern Control Engineering, 5TH edition, Eastern Economy Edition, 2010.

VII.Md Akram Ahmad, Kamal Kishor, Pankaj Rai, Speed Control of a DC Motor Using Controllers. Automation, Control and Intelligent Systems, special Issue: Impact of Gesture Recognition in the Technological Era. Vol. 2, No. 6-1, 2014, pp. 1-9.

VIII.Nagrath, I.J. and M. Gopal, Control Systems Engineering, 3rd edition, New Age Publishers, 2000.

IX.SubhojitMalik, Palash Dutta, Sayantan Chakrabarti, Abhishek Barman,Parameter Estimation of a PID Controller using Particle Swarm Optimization Algorithm,International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 3, March 2014.

X.Thwin Thu Lynn, Eaint, Position Control of DC Servo Drive by Fuzzy Logic Controller in Flat-Bed Screen Printing Machine,American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) (2016) Volume 26, No 1, pp 8-19.

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A Novel Architecture for Low Power Equiripple Half-Band FIR Filter using GDI Based Dual Edge Triggered Flip-Flop


Biswarup Mukherjee,Aniruddha Ghosal,



In this paper, a technique for implementing low-power equiripple half-band FIR filter using GDI based Dual Edge Triggered Flip Flop (DETFF) is introduced. Dual edge triggered flip flops has many advantages in low power VLSI compared to SETFF. The Proposed low power FIR filter using DETFF is implemented and compared with conventional design at same simulation conditions. CAD tool based simulation and comparison between proposed design with the conventional design shows that the proposed design reduces power dissipation by 32% reducing the no. of transistors used while keeping the same data rate.


Half-band FIR filter,Dual Edge Triggered Flip Flop (DETFF), GDI ,Multiplexer, Low power VLSI ,


I.A.Liacha, A. K. Oudjida, F. Ferguene, M. Bakiri, M. L. Berrandjia, “Design of high-speed, low-power, and area-efficient FIR filters”, IET Circuits, Devices & Systems, Vol.: 12, Issue: 1, 2018

II.A. Morgenshtein, A. Fish and Israel A. Wagner, “Gate-Diffusion Input (GDI): A Power-Efficient Method for Digital Combinatorial Circuits”, IEEE Transaction on VLSI Systems, Vol. 10 issue 5, pp. 566-581, Oct. 2002

III.A. Ogata, N. Aikawa; M. Sato,”A design method of low delay FIR bandpass filters”, IEEE International Symposium onCircuits and Systems Emerging Technologies for the 21st Century, Volume: 1 Pages: 92 -95, 2000IV.B. Mukherjee, A. Ghosal, “Design & Study of a Low Power High Speed Full Adder Using GDI Multiplexer”, IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS),pp:465-470, 2015

V.B. Mukherjee, B. Roy, A. Biswas, A. Ghosal, “Design of a Low Power 4×4 Multiplier Based on Five Transistor (5-T) Half Adder, Eight Transistor (8-T) Full Adder & Two Transistor (2-T) AND Gate”, Third International Conference on Computer, Communication, Control and Information Technology (C3IT), 2015

VI.B. Yuan; Y. Wang, “High-Accuracy FIR Filter Design Using Stochastic Computing”, 2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)pp: 128 –133, 2016

VII.G. N. Jyothi, S. SriDevi, “Distributed arithmetic architectures for FIR filters-A comparative review”, International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 2684-2690, 2017

VIII.G. Singh and C. Goel, “Design of Low Power andEfficient Carry Select Adder Using 3-T XOR Gate”, Advances in Electronics, Article ID 564613, 2014

IX.I. H. H. Jørgensen, P. Pracny, E. Bruun, “Hardware-Efficient Implementation of Half-Band IIR Filter for Interpolation and Decimation”, IEEE Transactions on Circuits and Systems II: Express Briefs, Volume: 60, Issue: 12, Pages: 892 -896, 2013

X.J. Chen; J. Tan, C. Chang, F. Feng, “A New Cost-Aware Sensitivity-Driven Algorithm for the Design of FIR Filters”, IEEE Transactions on Circuits and Systems I, Volume: 64, Issue: 6 pp: 1588 -1598, 2017

XI.J. Fadavi-Ardekani, “M*N Booth encoded multiplier generator using optimized Wallace trees”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Volume: 1, Issue: 2 pp: 120 -125, 1993

XII.Liang Li, Xingfa Huang, Zhou Yu, “A full custom half-band filter used for sigma-delta ADC”, International Conference on Anti-Counterfeiting, Security and Identification, pp-116-119, 2010

XIII.Nitin Kumar Saini , Kamal K. Kashyap; “Low power dual edge triggered flip-flop”, International Conference on Signal Propagation and Computer Technology (ICSPCT), 2014

XIV.P. P. Vaidyanathan, “Design and implementation of digital FIR filters,” in Handbook of Digital Signal Processing Engineering Applications, D. F. Elliott, Ed., pp. 55–172, Academic Press,London, UK, 1987.

XV.P. Zahradnik, “Equiripple Approximation of Low-pass FIR Filters Equiripple Approximation of Low-pass FIR Filters”,IEEE Transactions on Circuits and Systems II: Express Briefs, Issue: 99,pp. 1-5, 2017

XVI.P. Zhao, J. McNeely, P. Golconda,M. A. Bayoumi, R. A. Barcenas, W. Kuang, ” Low-Power Clock Branch Sharing Double-Edge Triggered Flip-Flop”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol.: 15, Issue: 3,pp: 338 -345, 2007

XVII.R. Kubasek, Z. Smekal, E. Gescheidtova, K.Bartusek, “Design of Two-channel Half-band Bank of Digital Filters using Optimization Methods”, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, page: 151, 2006

XVIII.S. Archana, G. Durga, “Design of low power and high speed ripple carry adder”, International Conference on Communication and Signal pocessing, pp: 939 -943, 2014

XIX.S. K. Mitra and J. F. Kaiser, Handbook for Digital Signal Processing. New York,NY, USA: Wiley, 1993.

XX.S. Samadi, A. Nishihara, H. Iwakura, “Universal maximally flat low pass FIR systems”, IEEE Transactions on Signal Processing Vol: 48, Issue: 7,pp: 1956 -1964,2000

XXI.Wen Bin Ye, Xin Lou, Ya Jun Yu, “Design of Low-Power Multiplierless Linear-Phase FIR Filters” , IEEE Access, Volume: 5,pp: 23466 -23472,2017

XXII.X. Zhang, K. Intosume, and T. Yoshikawa, “Design of low delay FIR half-band filters with arbitrary flatness and its application to filter banks,” Electron. Comm. Jpn 3, vol. 8, no. 10, pp. 1–9, 2000

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Design approach to a wound rotor induction motor towards optimization


Pritish Kumar Ghosh,PradipKumarSadhu,Amarnath Sanyal,Debabrata Roy,Biswajit Dutta,



About 88% of the driving power is produced by 3-phase and single-phase induction motors. In most part it is by squirrel-cage motors, only a small fraction by the slip-ring or phase-wound type. It is because the cage-type motors are relatively inexpensive. But they suffer from low p.f. operation and low starting torque which cannot be manipulated by inserting resistance in the rotor circuit. Also, this type of induction motors is not easily speed-adjustable. Though a little more expensive, the slip-ring type induction motors do not have these disadvantages. Therefore, they are used as speed-adjustable drives and for drives where heavy duty starting is involved. The design of any kind of power equipment should be made cost-optimally in the present day competitive market. A new approach to reaching optimal solution has been shown in this paper by the method of sequential searching with respect to the chosen design variables. Also, another design has been made following a hybrid of analytical and synthetic approach. The design variables have been chosen from designers’ experience. In contrary to the popular belief that there is no need for going in for complexity of optimal design, the quasi-optimal solution may be obtained by the designer from his accumulated experience, we find that the idea is wrong. The optimal design approach saves a lot of money.


Analytic design,synthetic design,hybrid design, optimal design,sequential searching, development of electrical engineering, Electrical applications,


I.Bimbhra, P. S. (1973). Electric machinery. Khanna Publishers, ISBN: 81-7409-016-9.

II.Brunner, C. U. (2007). International standards for electric motors. Standards for Energy efficiency of ElectricMotor systems (SEEEM), 6-10.

III.Cunkas, M., & Amazan, A. R. (2006). Design optimization of induction motor by genetic algorithm and comparison with existing methods. Mathematical and computational Applications, II(3), 103-203.

IV.Deb, K. (2010). Optimization for engineering design. PHI, ISBN 978-81-203-0943-2.

V.Dubey, G. K. (2002). Fundamentals of electric drives. 2nd. Ed, Narosa Publishing House, ISNN: 81-7319-428-9.

VI.Erajskar, G., Bhattacharyya, M., & Mahendra, S. N. (1974). Computer-aided design of three phase squirrel cage induction motor-technical design, hybrid process and optimization. J.I.E (India),E.E. Div., India, 2-50.

VII.Ertan, H. B., & Aykanat, C. (2018). A new approach to optimized design of induction motor. Department of Electrical Engineering, Middle East Technical University, Ankara, Turkey.

VIII.Hasanah, R. N. (2009). Energy saving through design optimization of induction motor. Journal EECCIS, 3(1).

IX.Kambo, N. S. (1991). Mathematical programming techniques. Revised edition, Affiliated East-West Press Pvt. Ltd. New Delhi –110 001, ISBN 81-85336-47-4.

X.Kannan, R., Bhuvaneswari, R., & Subramanian, S. (2007). Optimal design of three-phase induction motor using Particle Swarm Optimization. Iranian Journal of Electrical and Computer Engineering, 6(2).

XI.Kentli, F. (2009). A survey of design optimization studies of induction motor during the last decade. Dept. of Electrical Education, Marmara University, Goztepe, Istambul, Turkey, 9(2), 969-975.
XII.Krihnamoorthy, A., & Dharmalingam, K. (2009). Application of genetic algorithm in the design optimization of 3-phase induction motor. Journal ofComputer Application, II(4).
XIII.Ramamoorty, M. (1987). Computer-aided design of electrical equipment. Affiliated East-West Press Pvt. Ltd., ISBN: 81-85095-57-4.
XIV.Ranjith kumar, K., Palaniswami, S., & Priyadharsini, K. (2010). Performance enhancement of wound rotor induction motor by VSI with dynamic capacitor controlled rotor circuit. International Journal of Computer Applications (0975 –8887), 3(9).
XV.Rao, S. S. (2009). Engineering optimization-theory and practice. New AgeInt., ISBN 978-81-224-2723-3.
XVI.Sakthivel, V. P., Bhuvaneswari, R., & Subramanian, S. (2010). Economic design of three-phase induction motor by Particle Swarm Optimization. J. Electromagnetic Analysis & Applications, 2, 301-310.
XVII.Sawhney, A. K. (2003). A course in electrical machine design. Dhanpat Rai and Sons, ISBN:670000000034.
XVIII.Shanmugasundaram, A., Gangadharan, G., & Palani, R. (2011). Electrical machine design data book. Wiley Eastern Ltd, ISBN 0852268130.
XIX.Sivaraju, S. S., & Devarajan, N. (2011). Novel design of three phase induction motor enhancing efficiency, maximizing power factor and minimizing losses. European Journal of Scientific Research, ISSN 1450-216X, 58(3), 423-432.
XX.Thangraj, C., Srivastava, S. P., & Agarwal, P. (2008). Optimal design of polyphase induction motor using improved particle swarm optimization. XXXII National System Conference, NSC2008.
XXI.Tudorache, T., & Melcescu, L. (2009). FEM optimal design of energy-efficient induction machines. Advances in Electrical and Computer Engineering, 9(2).
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