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    Publisher: Asian Network for Scientific Information
   
  Journal of Applied Sciences seeks to promote and disseminate the knowledge by publishing original research findings, review articles and short communications in the broad field of applied sciences. Scope of the journal includes: Biology, chemistry, physics, environmental, business and economics, finance, mathematics and statistics, geology, engineering, computer science, social sciences, natural and technological sciences, linguistics, medicine and architecture, food science, environmental science, agricultural engineering. Journal of Applied Sciences now accepting new submissions. Submit your best paper via online submission system.
  Editor-in-Chief:  Gazi Mahabubul Alam
 
 
Arock, M. and R. Ponalagusamy, 2006. Parallel agorithms for robot path planning with simple VLSI architecture. Int. J. Comput. Appl. Technol., 26: 157-168.
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Arock, M. and R. Ponalagusamy, 2007. A Constant-time Selection Algorithm on an LARPBS. Imperial College Press, UK.
Chandru, M., R. Ponalagusamy and P. Alphonse, 2017. A new fifth-order weighted runge-kutta algorithm based on heronian mean for initial value problems in ordinary differential equations. J. Applied Math. Inform., 35: 191-204.
Chaturani, P. and R. Ponnalagarsamy, 1985. A study of non-Newtonian aspects of blood flow through stenosed arteries and its applications in arterial diseases. Biorheology, 22: 521-531.
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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: 218-218.
Chaturani, P. and R. Ponnalagarsamy, 1986. Pulsatile flow of casson's fluid through stenosed arteries with applications to blood flow. Biorheology, 23: 499-511.
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Geetha, S., V.L.G. Nayagam and R. Ponalagusamy, 2014. A complete ranking of incomplete interval information. Expert. Syst. Applic., 41: 1947-1954.
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Gopalan, N.P. and R. Ponalagusamy, 1992. Investigation on laminar flow of a suspension in corrugated straight tubes. Int. J. Eng. Sci., 30: 631-643.
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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 γ-Al 2O3 nanoparticles. Adv. Powder Technol., 26: 139-148.
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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: 1171-1182.
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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: 783-793.
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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: 17-23.
Kannan, E., R. Ponalagusamy and M. Arock, 2005. A parallel algorithms for APSL problem on strongly chordal graphs. AMSE J., 10: 13-24.
Michael, A. and R. Ponalagusamy, 2006. Parallel algorithms for robot path planning with simpler VLSI architecture. Int. J. Comput. Applns. Tech., 26: 157-163.
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Narayanasamy, R. and R. Ponalagusamy, 1999. A mathematical theory of plasticity for compressible P/M materials. J. Mater. Process. Technol., 86: 159-162.
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Narayanasamy, R. and R. Ponalagusamy, 2000. A mathematical theory of plasticity for compressible powder metallurgy materials-Part II. J. Mater. Process. Technol., 97: 110-113.
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Narayanasamy, R. and R. Ponalagusamy, 2000. A mathematical theory of plasticity for compressible powder metallurgy materials-Part III. J. Mater. Process. Technol., 100: 262-265.
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Narayanasamy, R. and R. Ponalagusamy, 2000. A mathematical theory of plasticity for the upsetting of compressible P/M materials. J. Mater. Process. Technol., 97: 107-109.
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Narayanasamy, R., R. Ponalagusamy and K.R. Subramanian, 2001. Generalized theory of porous sintered P/M metals. J. Mater. Process. Technol., 110: 182-182.
Narayanasamy, R., R. Ponalagusamy and S. Raghuraman, 2000. Theoretical prediction of limiting draw ratio for cup drawing process. J. Metals Mater. Process., 12: 337-350.
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: 884-890.
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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: 411-415.
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Narayanasamy, R., R. Venkatesan and R. Ponalagusamy, 2005. Extrusion die profile and extrusion pressure optimization using genetic algorithm. J. Inst. Eng. Singapore, 45: 52-63.
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: 64-69.
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Narayanasamy, R., S. Sathiyanarayanan and R. Ponalagusamy, 2000. Uniaxial tensile behaviour of ZM-21 magnesium alloy at room temperature. J. Mater. Process. Technol., 102: 56-58.
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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 bi-orthogonal wavelets and artihmetic coding. Int. J. Comput. Math. Sci. Appl., 2: 81-88.
Ponalagusamy, R. and K. Ponnammal, 2008. A new parallel RK-fifth order algorithm for time varying network and first order initial value problems. J. Combinatorics Inform. Syst. Sci., 33: 397-409.
Ponalagusamy, R. and K. Ponnammal, 2008. Investigations on robot arm model using a new parallel RK-fifth order algorithm. Int. J. Comput. Math. Sci. Appl., 2: 155-164.
Ponalagusamy, R. and K. Ponnammal, 2010. New generalised plasticity equation for compressible powder metallurgy materials: A new parallel RK-Butcher method. Int. J. Nanomanuf., 6: 395-408.
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Ponalagusamy, R. and K. Ponnammal, 2012. Local truncation error for the parallel runge-kutta-fifth order methods. Inform. Technol. J., 11: 1141-1153.
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Ponalagusamy, R. and K. Ponnammal, 2015. A parallel fourth order rosenbrock method: Construction, analysis and numerical comparison. Int. J. Applied Comput. Math, 1: 45-68.
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Ponalagusamy, R. and M. Kawahara, 1989. A finite element analysis of laminar unsteady flows of viscoelastic fluids through channels with non-uniform cross-sections. Int. J. Numerical Methods Fluids, 9: 1487-1501.
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Ponalagusamy, R. and N.P. Gopalan, 1993. Numerical study on steady state, three dimensional atmospheric diffusion of sulphur dioxide and sulphate dispersion with non-linear kinetics. Int. J. Comput. Fluid Dyn., 1: 339-350.
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Ponalagusamy, R. and R. Narayanasamy, 2008. A finite difference solution for open-die forging of sintered cylindrical billets. Mat. Design, 29: 1886-1892.
Ponalagusamy, R. and R. Tamil Selvi, 2011. A study on two-layered model (Casson-Newtonian) for blood flow through an arterial stenosis: Axially variable slip velocity at the wall. J. Franklin Instit., 348: 2308-2321.
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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: 27-38.
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/s11012-013-9758-z.
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Ponalagusamy, R. and R.T. Selvi, 2014. Brief communications: Two-layered model (Casson-Newtonian) for blood flow through an arterial stenosis with axially variable slip velocity at the wall. Int. J. Eng. Sci. Adv. Comput. Bio-Technol., 4: 71-74.
Ponalagusamy, R. and R.T. Selvi, 2015. Influence of magnetic field and heat transfer on two-phase fluid model for oscillatory blood flow in an arterial stenosis. Meccanica, 50: 927-943.
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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.
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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: 31-41.
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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. Korea-Aust. Rheol. J., 29: 303-316.
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Ponalagusamy, R. and S. Priyadharshini, 2018. Numerical investigation on two-fluid model (micropolar-Newtonian) for pulsatile flow of blood in a tapered arterial stenosis with radially variable magnetic field and core fluid viscosity. Comput. Applied Math., 37: 719-743.
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Ponalagusamy, R. and S. Senthilkumar, 2007. A Comparison of RK-fourth orders of Variety of Means and embedded means on multilayer raster CNN simulation. J. Theor. Applied Inform. Technol., 3: 7-14.
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Ponalagusamy, R. and S. Senthilkumar, 2008. A comparison of RK-fourth orders of variety of means on multilayer raster CNN simulation. Trends Applied Sci. Res., 3: 242-252.
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Ponalagusamy, R. and S. Senthilkumar, 2008. Investigation on raster CNN simulation by numerical integration algorithms. J. Combinatorial Math. Combinatorial Comput., 67: 35-48.
Ponalagusamy, R. and S. Senthilkumar, 2008. RK starters for multistep methods on a raster CNN simulation. J. Theoretical Applied Inform. Technol., 2: 117-126.
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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: 1-11.
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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: 303-305.
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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: 285-294.
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Ponalagusamy, R. and S. Senthilkumar, 2009. Investigation on numerical solution for robot arm problem. J. Automation Mob. Robotics Intel. Syst., 3: 34-40.
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Ponalagusamy, R. and S. Senthilkumar, 2009. Time-multiplexing CNN simulation using limiting formulas of RK(7,8). Res. J. Inform. Technol., 1: 1-16.
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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: 237-250.
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Ponalagusamy, R. and S. Senthilkumar, 2011. Investigation on time-multiplexing cellular neural network simulation by RKAHeM(4,4) technique. Int. J. Adv. Intell. Paradigms, 3: 43-66.
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Ponalagusamy, R., 1986. Effects of peripheral plasma layer, size and shape of stenosis and blood rheology on flow through an artery. Biorheology, 23: 222-222.
Ponalagusamy, R., 1986. Peristaltic flow of generalized visco-plastic fluids in tubes with varying cross-sections and its implications. Biorheology, 23: 223-223.
Ponalagusamy, R., 1992. Effect of non-newtonian behaviour of blood on optimal geometry of vascular bifurcation. Biorheology, 29: 66-66.
Ponalagusamy, R., 2007. Blood flow through an artery with mild stenosis: A two-layered model, different shapes of stenoses and slip velocity at the wall. J. Applied Sci., 7: 1071-1077.
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Ponalagusamy, R., 2008. A novel and efficient computational algorithm of STWS for generalized linear non-singular/singular time varying systems. J. Software Eng., 2: 1-9.
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Ponalagusamy, R., 2008. Blood flow through an arterial stenosis: A two-layered model (Casson-Newtonian), different shapes of stenoses and axially variable slip velocity at the wall. Biorheology, 45: 153-154.
Ponalagusamy, R., 2008. ERRATA on blood flow through an artery with mild stenosis: A two-layered model, different shapes of stenoses and slip velocity at the wall. J. Applied Sci., 8: 2191-2191.
Ponalagusamy, R., 2010. Role of pulsatility on blood flow in an arterial stenosis. Int. J. Math. Eng. Comput., 1: 21-26.
Ponalagusamy, R., 2012. Mathematical analysis on effect of non-newtonian behaviour of blood on optimal geometry of microvascular bifurcation system. J. Franklin Inst., 349: 2861-2874.
Ponalagusamy, R., 2015. Biological Study on Pulsatile Flow of Herschel-Bulkley Fluid in Tapered Blood Vessels. In: Emerging Trends in Computational Biology, Bioinformatics and Systems Biology-Algorithms and Software Tools, Tam, Q. and H. Arbnia (Eds.). Elsevier Publishers, Boston, USA., pp: 39-51.
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: 148-155.
Ponalagusamy, R., 2016. Particulate suspension Jeffrey fluid flow in a stenosed artery with a particle-free plasma layer near the wall. Korea-Aust. Rheol. J., 28: 217-227.
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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. .
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Ponalagusamy, R., 2016. Two-fluid model for blood flow through a tapered arterial stenosis: Effect of non-zero couple stress boundary condition at the interface. Int. J. Applied Comput. Math., 3: 807-824.
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Ponalagusamy, R., 2017. A two-layered suspension (particle-fluid) model for non-Newtonian fluid flow in a catheterized arterial stenosis with slip condition at the wall of stenosed artery. Korea-Aust. Rheol. J., 29: 87-100.
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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 non-newtonian 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: 776-779.
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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: 443-450.
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: 17-27.
Ponalagusamy, R., K. Murugesan D. Paul Dhayabaran and E.C. Henry Amirtharaj, 2001. Numerical solution of heat-flow problem by a combined method of rayleigh ritz with STWS and RKHM. Adv. Model. Anal. J., 38: 29-47.
Ponalagusamy, R., P.J.A. Alphonse and M. Chandru, 2011. Development of new fifth-order fifth-stage runge kutta method based on heronian mean. Int. J. Eng. Sci. Adv. Comput. Bio-Technol., 2: 162-197.
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: 913-920.
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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. Bio-Technol., 1: 14-18.
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: 311-325.
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Ponalagusamy, R., R. Narayanasamy and P. Srinivasan, 2005. Design and development of streamlined extrusion dies-a bezier curve approach. J. Mat. Process. Technol., 161: 375-380.
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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: 49-49.
Ponalagusamy, R., R. Narayanasamy and S. Senthilkumar, 2006. Finite element simulation for analysis of open-die forging of sintered cylindrical billets. Int. J. Manuf. Technol. Res., 2: 31-37.
Ponalagusamy, R., R. Narayanasamy, R. Venkatesan and S. Senthilkumar, 2008. Computer aided metal flow investigation in streamlined extrusion dies. Int. J. Mater. Des., 29: 1228-1239.
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Ponalagusamy, R., R. Tamil Selvi and A.K. Banerjee, 2012. Mathematical model of pulsatile flow of non-Newtonian fluid in tubes of varying cross-sections and its implications to blood flow. J. Franklin Inst., 349: 1681-1698.
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Priyadharshini, S. and R. Ponalagusamy, 2015. Biorheological model on flow of herschel-bulkley fluid through a tapered arterial stenosis with dilatation. Applied Bionics Biomech. Vol. 2015. .
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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: 1901-1913.
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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/s00521-017-3111-8.
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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 non-uniform magnetic field and periodic body acceleration. Comput. Applied Math., (In Press). 10.1007/s40314-018-0572-z.
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Saravanan, C. and R. Ponalagusamy, 2007. Fast arithmetic coding for lossy image compression. Int. J. Comput. Math. Sci. Appl., 1: 257-265.
Saravanan, C. and R. Ponalagusamy, 2007. Gaussian noise estimation technique for gray scale images using mean value. J. Theor. Applied Inform. Technol., 3: 68-73.
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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: 41-48.
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Saravanan, C. and R. Ponalagusamy, 2009. Lossless grayscale image compression using source symbols reduction and huffman coding. Int. J. Image Process., 3: 246-251.
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Sivaraman, G., V.L.G. Nayagam and R. Ponalagusamy, 2012. Intuitionistic fuzzy interval information system. Int. J. Comput. Theory Eng., 4: 459-461.
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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: 145-167.
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Zoraida, B.S.E., M. Arock and R. Ponalagusamy, 2010. An efficient algorithm for constructing DNA boolean circuit. Int. J. Comput. Appl., 1: 16-21.
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: 61-67.
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: 146-153.
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Zoraida, B.S.E., M. Arock, B.S.M. Ronald and R. Ponalagusamy, 2010. A DNA-based algorithm for capacitated vehicle routing problem using temperature gradient technique. Int. J. Serv. Econ. Manage., 2: 371-384.
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Zoraida, B.S.E., M. Arock, B.S.M. Ronald and R. Ponalagusamy, 2010. A DNA-based algorithm for multiple travelling salesperson problem. Int. J. Prod. Technol. Manage. Res., 1: 25-29.
Zoraida, B.S.E., M. Arock, B.S.M. Ronald and R. Ponalagusamy, 2012. DNA algorithm employing temperature gradient for freeze-tag problem in swarm robotics. Trans. Inst. Meas. Control, 34: 278-290.
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