Arock, M. and R. Ponalagusamy, 2006. Parallel agorithms for robot path planning with simple VLSI architecture. Int. J. Comput. Appl. Technol., 26: 157168. Direct Link  Arock, M. and R. Ponalagusamy, 2007. A Constanttime Selection Algorithm on an LARPBS. Imperial College Press, UK. Chandru, M., R. Ponalagusamy and P. Alphonse, 2017. A new fifthorder weighted rungekutta algorithm based on heronian mean for initial value problems in ordinary differential equations. J. Applied Math. Inform., 35: 191204. Chaturani, P. and R. Ponnalagarsamy, 1985. A study of nonNewtonian aspects of blood flow through stenosed arteries and its applications in arterial diseases. Biorheology, 22: 521531. PubMed  Chaturani, P. and R. Ponnalagarsamy, 1986. A two layered model for blood flow through stenosed arteries with axially variable slip velocity at the wall. Biorheology, 23: 218218. Chaturani, P. and R. Ponnalagarsamy, 1986. Pulsatile flow of casson's fluid through stenosed arteries with applications to blood flow. Biorheology, 23: 499511. PubMed  Geetha, S., V.L.G. Nayagam and R. Ponalagusamy, 2014. A complete ranking of incomplete interval information. Expert. Syst. Applic., 41: 19471954. CrossRef  Gopalan, N.P. and R. Ponalagusamy, 1992. Investigation on laminar flow of a suspension in corrugated straight tubes. Int. J. Eng. Sci., 30: 631643. CrossRef  Jeyasimman, D., K. Sivaprasad, S. Sivasankaran, R. Ponalagusamy, R. Narayanasamy and V. Iyer, 2015. Microstructural observation, consolidation and mechanical behaviour of AA 6061 nanocomposites reinforced by γAl _{2}O _{3} nanoparticles. Adv. Powder Technol., 26: 139148. CrossRef  Direct Link  Jeyasimman, D., R. Narayanasamy and R. Ponalagusamy, 2015. Role of hybrid reinforcement on microstructural observation, characterization and consolidation behavior of AA 6061 nanocomposite. Adv. Powder Technol., 26: 11711182. CrossRef  Direct Link  Jeyasimman, D., R. Narayanasamy, R. Ponalagusamy, V. Anandakrishnan and M. Kamaraj, 2014. The effects of various reinforcements on dry sliding wear bbehaviour of AA 6061 Nanocomposites. Mater. Design, 64: 783793. CrossRef  Direct Link  Kannan, E., M. Arock and R. Ponalagusamy, 2003. A Parallel Huffman Decoding Algorithm. In: Algorithms and Artificial Systems, Thangavel, P. (Ed.). Allied Publishers (Pvt.) Limited, New Delhi, India, pp: 1723. Kannan, E., R. Ponalagusamy and M. Arock, 2005. A parallel algorithms for APSL problem on strongly chordal graphs. AMSE J., 10: 1324. Michael, A. and R. Ponalagusamy, 2006. Parallel algorithms for robot path planning with simpler VLSI architecture. Int. J. Comput. Applns. Tech., 26: 157163. CrossRef  Direct Link  Narayanasamy, R. and R. Ponalagusamy, 1999. A mathematical theory of plasticity for compressible P/M materials. J. Mater. Process. Technol., 86: 159162. Direct Link  Narayanasamy, R. and R. Ponalagusamy, 2000. A mathematical theory of plasticity for compressible powder metallurgy materialsPart II. J. Mater. Process. Technol., 97: 110113. CrossRef  Narayanasamy, R. and R. Ponalagusamy, 2000. A mathematical theory of plasticity for compressible powder metallurgy materialsPart III. J. Mater. Process. Technol., 100: 262265. CrossRef  Narayanasamy, R. and R. Ponalagusamy, 2000. A mathematical theory of plasticity for the upsetting of compressible P/M materials. J. Mater. Process. Technol., 97: 107109. CrossRef  Narayanasamy, R., R. Ponalagusamy and K.R. Subramanian, 2001. Generalized theory of porous sintered P/M metals. J. Mater. Process. Technol., 110: 182182. Narayanasamy, R., R. Ponalagusamy and S. Raghuraman, 2000. Theoretical prediction of limiting draw ratio for cup drawing process. J. Metals Mater. Process., 12: 337350. Narayanasamy, R., R. Ponalagusamy and S. Raghuraman, 2008. The effect of strain rate sensitivity on theoretical prediction of limiting draw ratio for cylindrical cup drawing process. Mater. Des., 29: 884890. CrossRef  Narayanasamy, R., R. Ponalagusamy, R. Venkatesan and P. Srinivasan, 2006. An upper bound solution to extrusion of circular billet to circular shape through cosine dies. Mater. Design, 27: 411415. CrossRef  Narayanasamy, R., R. Venkatesan and R. Ponalagusamy, 2005. Extrusion die profile and extrusion pressure optimization using genetic algorithm. J. Inst. Eng. Singapore, 45: 5263. Narayanasamy, R., S. Sathiyanarayanan and R. Ponalagusamy, 2000. A study on barrelling in magnesium alloy solid cylinders during cold upset forming. J. Mater. Process. Technol., 101: 6469. CrossRef  Narayanasamy, R., S. Sathiyanarayanan and R. Ponalagusamy, 2000. Uniaxial tensile behaviour of ZM21 magnesium alloy at room temperature. J. Mater. Process. Technol., 102: 5658. CrossRef  Ponalagusamy, R. and C. Saravanan, 2007. Analysis of Medical Images using Statistical Methods. Imperial College Press, UK. Ponalagusamy, R. and C. Saravanan, 2008. Medical image compression using biorthogonal wavelets and artihmetic coding. Int. J. Comput. Math. Sci. Appl., 2: 8188. Ponalagusamy, R. and K. Ponnammal, 2008. A new parallel RKfifth order algorithm for time varying network and first order initial value problems. J. Combinatorics Inform. Syst. Sci., 33: 397409. Ponalagusamy, R. and K. Ponnammal, 2008. Investigations on robot arm model using a new parallel RKfifth order algorithm. Int. J. Comput. Math. Sci. Appl., 2: 155164. Ponalagusamy, R. and K. Ponnammal, 2010. New generalised plasticity equation for compressible powder metallurgy materials: A new parallel RKButcher method. Int. J. Nanomanuf., 6: 395408. CrossRef  Ponalagusamy, R. and K. Ponnammal, 2012. Local truncation error for the parallel rungekuttafifth order methods. Inform. Technol. J., 11: 11411153. CrossRef  Ponalagusamy, R. and K. Ponnammal, 2015. A parallel fourth order rosenbrock method: Construction, analysis and numerical comparison. Int. J. Applied Comput. Math, 1: 4568. Direct Link  Ponalagusamy, R. and M. Kawahara, 1989. A finite element analysis of laminar unsteady flows of viscoelastic fluids through channels with nonuniform crosssections. Int. J. Numerical Methods Fluids, 9: 14871501. CrossRef  Ponalagusamy, R. and N.P. Gopalan, 1993. Numerical study on steady state, three dimensional atmospheric diffusion of sulphur dioxide and sulphate dispersion with nonlinear kinetics. Int. J. Comput. Fluid Dyn., 1: 339350. CrossRef  Ponalagusamy, R. and R. Narayanasamy, 2008. A finite difference solution for opendie forging of sintered cylindrical billets. Mat. Design, 29: 18861892. Ponalagusamy, R. and R. Tamil Selvi, 2011. A study on twolayered model (CassonNewtonian) for blood flow through an arterial stenosis: Axially variable slip velocity at the wall. J. Franklin Instit., 348: 23082321. CrossRef  Direct Link  Ponalagusamy, R. and R. Tamil Selvi, 2011. Blood flow through an arterial stenosis: New formula for computing peripheral plasma layer thickness. Int. J. Bio Sci. Bio Technol., 3: 2738. Ponalagusamy, R. and R. Tamil Selvi, 2013. Blood flow in stenosed arteries with radially variable viscosity, peripheral layer thickness and magnetic field. Meccanica, 10.1007/s110120139758z. CrossRef  Ponalagusamy, R. and R.T. Selvi, 2014. Brief communications: Twolayered model (CassonNewtonian) for blood flow through an arterial stenosis with axially variable slip velocity at the wall. Int. J. Eng. Sci. Adv. Comput. BioTechnol., 4: 7174. Ponalagusamy, R. and R.T. Selvi, 2015. Influence of magnetic field and heat transfer on twophase fluid model for oscillatory blood flow in an arterial stenosis. Meccanica, 50: 927943. CrossRef  Direct Link  Ponalagusamy, R. and S. Priyadharshini, 2017. Couple stress fluid model for pulsatile flow of blood in a porous tapered arterial stenosis under magnetic field and periodic body acceleration. J. Mech. Med. Biol., Vol. 17, No. 8. 10.1142/S0219519417501093. CrossRef  Direct Link  Ponalagusamy, R. and S. Priyadharshini, 2017. Nonlinear model on pulsatile flow of blood through a porous bifurcated arterial stenosis in the presence of magnetic field and periodic body acceleration. Comput. Meth. Programs Biomed., 142: 3141. CrossRef  Direct Link  Ponalagusamy, R. and S. Priyadharshini, 2017. Numerical modelling on pulsatile flow of Casson nanofluid through an inclined artery with stenosis and tapering under the influence of magnetic field and periodic body acceleration. KoreaAust. Rheol. J., 29: 303316. CrossRef  Direct Link  Ponalagusamy, R. and S. Priyadharshini, 2018. Numerical investigation on twofluid model (micropolarNewtonian) for pulsatile flow of blood in a tapered arterial stenosis with radially variable magnetic field and core fluid viscosity. Comput. Applied Math., 37: 719743. CrossRef  Direct Link  Ponalagusamy, R. and S. Senthilkumar, 2007. A Comparison of RKfourth orders of Variety of Means and embedded means on multilayer raster CNN simulation. J. Theor. Applied Inform. Technol., 3: 714. Direct Link  Ponalagusamy, R. and S. Senthilkumar, 2008. A comparison of RKfourth orders of variety of means on multilayer raster CNN simulation. Trends Applied Sci. Res., 3: 242252. CrossRef  Direct Link  Ponalagusamy, R. and S. Senthilkumar, 2008. Investigation on raster CNN simulation by numerical integration algorithms. J. Combinatorial Math. Combinatorial Comput., 67: 3548. Ponalagusamy, R. and S. Senthilkumar, 2008. RK starters for multistep methods on a raster CNN simulation. J. Theoretical Applied Inform. Technol., 2: 117126. Direct Link  Ponalagusamy, R. and S. Senthilkumar, 2009. A new fourth order embedded RKAHeM(4,4) method with error control for multilayer raster cellular neural network. Signal Image Video Process., 3: 111. CrossRef  Direct Link  Ponalagusamy, R. and S. Senthilkumar, 2009. A new fourth order embedded RKAHeM(4,4) method with error control on single layer/raster cellular neural network. Signal Image Video Process., 3: 303305. CrossRef  Ponalagusamy, R. and S. Senthilkumar, 2009. A new method of embedded fourth order with four stages to study raster CNN simulation. Int. J. Autom. Comput., 6: 285294. CrossRef  Direct Link  Ponalagusamy, R. and S. Senthilkumar, 2009. Investigation on numerical solution for robot arm problem. J. Automation Mob. Robotics Intel. Syst., 3: 3440. Direct Link  Ponalagusamy, R. and S. Senthilkumar, 2009. Timemultiplexing CNN simulation using limiting formulas of RK(7,8). Res. J. Inform. Technol., 1: 116. CrossRef  Direct Link  Ponalagusamy, R. and S. Senthilkumar, 2010. System of second order robot arm problem by an efficient numerical integration algorithm. Int. J. Comput. Mater. Sci. Surf. Eng., 3: 237250. CrossRef  Direct Link  Ponalagusamy, R. and S. Senthilkumar, 2011. Investigation on timemultiplexing cellular neural network simulation by RKAHeM(4,4) technique. Int. J. Adv. Intell. Paradigms, 3: 4366. CrossRef  Direct Link  Ponalagusamy, R., 1986. Effects of peripheral plasma layer, size and shape of stenosis and blood rheology on flow through an artery. Biorheology, 23: 222222. Ponalagusamy, R., 1986. Peristaltic flow of generalized viscoplastic fluids in tubes with varying crosssections and its implications. Biorheology, 23: 223223. Ponalagusamy, R., 1992. Effect of nonnewtonian behaviour of blood on optimal geometry of vascular bifurcation. Biorheology, 29: 6666. Ponalagusamy, R., 2007. Blood flow through an artery with mild stenosis: A twolayered model, different shapes of stenoses and slip velocity at the wall. J. Applied Sci., 7: 10711077. CrossRef  Direct Link  Ponalagusamy, R., 2008. A novel and efficient computational algorithm of STWS for generalized linear nonsingular/singular time varying systems. J. Software Eng., 2: 19. CrossRef  Direct Link  Ponalagusamy, R., 2008. Blood flow through an arterial stenosis: A twolayered model (CassonNewtonian), different shapes of stenoses and axially variable slip velocity at the wall. Biorheology, 45: 153154. Ponalagusamy, R., 2008. ERRATA on blood flow through an artery with mild stenosis: A twolayered model, different shapes of stenoses and slip velocity at the wall. J. Applied Sci., 8: 21912191. Ponalagusamy, R., 2010. Role of pulsatility on blood flow in an arterial stenosis. Int. J. Math. Eng. Comput., 1: 2126. Ponalagusamy, R., 2012. Mathematical analysis on effect of nonnewtonian behaviour of blood on optimal geometry of microvascular bifurcation system. J. Franklin Inst., 349: 28612874. Ponalagusamy, R., 2015. Biological Study on Pulsatile Flow of HerschelBulkley Fluid in Tapered Blood Vessels. In: Emerging Trends in Computational Biology, Bioinformatics and Systems BiologyAlgorithms and Software Tools, Tam, Q. and H. Arbnia (Eds.). Elsevier Publishers, Boston, USA., pp: 3951. Ponalagusamy, R., 2015. Corrigendum to a biomechanical approach to study the effect of body acceleration and slip velocity through stenotic artery. Applied Math. Comput., 261: 148155. Ponalagusamy, R., 2016. Particulate suspension Jeffrey fluid flow in a stenosed artery with a particlefree plasma layer near the wall. KoreaAust. Rheol. J., 28: 217227. CrossRef  Direct Link  Ponalagusamy, R., 2016. Suspension model for blood flow through a catheterized arterial stenosis with peripheral layer of plasma free from cells. Eur. Phys. J. Plus, Vol. 131. . Direct Link  Ponalagusamy, R., 2016. Twofluid model for blood flow through a tapered arterial stenosis: Effect of nonzero couple stress boundary condition at the interface. Int. J. Applied Comput. Math., 3: 807824. CrossRef  Direct Link  Ponalagusamy, R., 2017. A twolayered suspension (particlefluid) model for nonNewtonian fluid flow in a catheterized arterial stenosis with slip condition at the wall of stenosed artery. KoreaAust. Rheol. J., 29: 87100. CrossRef  Direct Link  Ponalagusamy, R., 2017. Erratum to: Suspension model for blood flow through a catheterized arterial stenosis with peripheral layer of plasma free from cells. Eur. Phys. J. Plus, Vol. 132. . Ponalagusamy, R., C. Ohkubo and M. Asano, 1997. Numerical analysis on effect of nonnewtonian behaviour of blood on optimal geometry of microvascular bifurcation. Medical and Technical Report No. 24, The Institute of Public Health, Tokyo, Japan, pp: 45.. Ponalagusamy, R., E. Kannan and M. Arock, 2007. A huffman decoding algorithm in mobile robot platform. Inform. Technol. J., 6: 776779. CrossRef  Direct Link  Ponalagusamy, R., E. Kannan and M. Arock, 2007. On huffman decoding: A parallel algorithm on a linear array with a reconfigurable pipelined bus system. Int. J. Comput. Math. Sci. Appl., 1: 443450. Ponalagusamy, R., E. Kannan and M. Arock, 2012. Formation of machine cells in cellular manufacturing system using linear array with a reconfigurable pipelined bus system. Int. J. Math. Eng. Comput., 3: 1727. Ponalagusamy, R., K. Murugesan D. Paul Dhayabaran and E.C. Henry Amirtharaj, 2001. Numerical solution of heatflow problem by a combined method of rayleigh ritz with STWS and RKHM. Adv. Model. Anal. J., 38: 2947. Ponalagusamy, R., P.J.A. Alphonse and M. Chandru, 2011. Development of new fifthorder fifthstage runge kutta method based on heronian mean. Int. J. Eng. Sci. Adv. Comput. BioTechnol., 2: 162197. Ponalagusamy, R., R. Narayanasamy and K.R. Subramanian, 2007. Prediction of limit strains in sheet metals by using new generalized yield criteria. Mat. Design, 28: 913920. CrossRef  Ponalagusamy, R., R. Narayanasamy and K.R. Subramanian, 2010. A new form of generalised yield criteria of porous sintered powder metallurgy metals. Int. J. Eng. Sci. Comput. BioTechnol., 1: 1418. Ponalagusamy, R., R. Narayanasamy and K.R. Subramanian, 2011. Sheet metals forming limit stress and strain prediction based on new generalised yield criterion. Int. J. Comput. Mater. Sci. Surf. Eng., 4: 311325. CrossRef  Ponalagusamy, R., R. Narayanasamy and P. Srinivasan, 2005. Design and development of streamlined extrusion diesa bezier curve approach. J. Mat. Process. Technol., 161: 375380. CrossRef  Ponalagusamy, R., R. Narayanasamy and S. Raghuraman, 2001. The effect of strain rate sensitivity on theoretical limiting draw ratio for cup drawing process. Metals Mater. Process., 13: 4949. Ponalagusamy, R., R. Narayanasamy and S. Senthilkumar, 2006. Finite element simulation for analysis of opendie forging of sintered cylindrical billets. Int. J. Manuf. Technol. Res., 2: 3137. Ponalagusamy, R., R. Narayanasamy, R. Venkatesan and S. Senthilkumar, 2008. Computer aided metal flow investigation in streamlined extrusion dies. Int. J. Mater. Des., 29: 12281239. CrossRef  Direct Link  Ponalagusamy, R., R. Tamil Selvi and A.K. Banerjee, 2012. Mathematical model of pulsatile flow of nonNewtonian fluid in tubes of varying crosssections and its implications to blood flow. J. Franklin Inst., 349: 16811698. CrossRef  Priyadharshini, S. and R. Ponalagusamy, 2015. Biorheological model on flow of herschelbulkley fluid through a tapered arterial stenosis with dilatation. Applied Bionics Biomech. Vol. 2015. . Direct Link  Priyadharshini, S. and R. Ponalagusamy, 2017. Computational model on pulsatile flow of blood through a tapered arterial stenosis with radially variable viscosity and magnetic field. Sādhanā, 42: 19011913. CrossRef  Direct Link  Priyadharshini, S. and R. Ponalagusamy, 2017. Mathematical modelling for pulsatile flow of Casson fluid along with magnetic nanoparticles in a stenosed artery under external magnetic field and body acceleration. Neural Comput. Applic., (In Press). 10.1007/s0052101731118. CrossRef  Direct Link  Priyadharshini, S. and R. Ponalagusamy, 2018. An unsteady flow of magnetic nanoparticles as drug carrier suspended in micropolar fluid through a porous tapered arterial stenosis under nonuniform magnetic field and periodic body acceleration. Comput. Applied Math., (In Press). 10.1007/s403140180572z. CrossRef  Direct Link  Saravanan, C. and R. Ponalagusamy, 2007. Fast arithmetic coding for lossy image compression. Int. J. Comput. Math. Sci. Appl., 1: 257265. Saravanan, C. and R. Ponalagusamy, 2007. Gaussian noise estimation technique for gray scale images using mean value. J. Theor. Applied Inform. Technol., 3: 6873. Direct Link  Saravanan, C. and R. Ponalagusamy, 2008. Modeling and analysis of coding redundancy for gray scale images using statistical coding technique. Int. J. Inform. Process., 2: 4148. Direct Link  Saravanan, C. and R. Ponalagusamy, 2009. Lossless grayscale image compression using source symbols reduction and huffman coding. Int. J. Image Process., 3: 246251. Direct Link  Sivaraman, G., V.L.G. Nayagam and R. Ponalagusamy, 2012. Intuitionistic fuzzy interval information system. Int. J. Comput. Theory Eng., 4: 459461. Direct Link  Velmanirajan, K., K. Anuradha, A.S. Abu Thaheer, R. Ponalagusamy and R. Narayanasamy, 2014. Statistical evaluation of forming limit diagram for annealed Al 1350 alloy sheets using first order reliability. Method. Applied Math. Model., 38: 145167. CrossRef  Zoraida, B.S.E., M. Arock and R. Ponalagusamy, 2010. An efficient algorithm for constructing DNA boolean circuit. Int. J. Comput. Appl., 1: 1621. Zoraida, B.S.E., M. Arock and R. Ponalagusamy, 2010. DNA algorithm employing temperature gradient for multiple travelling salesperson problem. Int. J. Comput. Appl., 1: 6167. Zoraida, B.S.E., M. Arock, B.S.M. Ronald and R. Ponalagusamy, 2009. A novel generalized design methodology and rrealization of boolean operations using DNA. Biosystems, 97: 146153. CrossRef  PubMed  Zoraida, B.S.E., M. Arock, B.S.M. Ronald and R. Ponalagusamy, 2010. A DNAbased algorithm for capacitated vehicle routing problem using temperature gradient technique. Int. J. Serv. Econ. Manage., 2: 371384. CrossRef  Zoraida, B.S.E., M. Arock, B.S.M. Ronald and R. Ponalagusamy, 2010. A DNAbased algorithm for multiple travelling salesperson problem. Int. J. Prod. Technol. Manage. Res., 1: 2529. Zoraida, B.S.E., M. Arock, B.S.M. Ronald and R. Ponalagusamy, 2012. DNA algorithm employing temperature gradient for freezetag problem in swarm robotics. Trans. Inst. Meas. Control, 34: 278290. CrossRef 
