Registered Data

[CT119]

  • Session Time & Room
    • CT119 (1/1) : 3C @E804 [Chair: Pankajavalli Palanisamy Balamani]
  • Classification
    • CT119 (1/1) : Computer system organization (68M) / Materials of strain-rate type and history type, other materials with memory (including elastic materials with viscous damping, various viscoelastic materials) (74D)

[01240] Machine Learning based Optimization Algorithm for Stress Prediction

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E804
  • Type : Contributed Talk
  • Abstract : In this work, an efficient optimization algorithm is developed to predict the stress of a person. The algorithm uses sensor data which are extracted from person’s physiological parameters. The proposed work uses various techniques for smoothing the data and to identify the features from the extracted data. Different experiments are done by considering various output metrics. Based on the comparison with the existing classification algorithms, the proposed algorithm identifies the stress prediction with high accuracy.
  • Classification : 68M18, 68M20, 65-04
  • Format : Talk at Waseda University
  • Author(s) :
    • Pankajavalli Palanisamy Balamani (Bharathiar University)

[00744] On the Burgers-type equations used in soft solid acoustics

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E804
  • Type : Contributed Talk
  • Abstract : A strain-rate model of soft viscoelastic solid is presented. The constitutive law accounts for finite strain, incompressibility, material frame-indifference, nonlinear elasticity, and viscous dissipation. Shear waves are governed by a nonlinear viscous wave equation, of which a one-way Burgers-type approximate equation is derived. Analysis of the travelling wave solutions shows that the two equations produce distinct solutions, unless amplitudes are infinitesimal. In the inviscid case, links with simple wave theory are established.
  • Classification : 74D10, 74J30, 74H10
  • Format : Talk at Waseda University
  • Author(s) :
    • Harold Berjamin (School of Mathematical and Statistical Sciences, University of Galway, University Road, Galway, Republic of Ireland)

[01019] Particle Swarm Optimization Based Reliable Control Algorithm for Wireless Networks

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E804
  • Type : Contributed Talk
  • Abstract : This paper deals with the fault-tolerant control problem for Wireless networks based on the particle swarm optimization method. To cope the stability and fault-tolerants simultaneously, a novel fault-tolerant control algorithm is developed. The required conditions of the addressed system are developed with the aid of Lyapunov stability theory. Precisely, the particle swarm optimization algorithm is implemented to optimize the fuzzy controller. Finally, simulation results are provided to demonstrate the effectiveness of the obtained results.
  • Classification : 68M07, 68M12, 68M15
  • Format : Online Talk on Zoom
  • Author(s) :
    • Ponnarasi Loganathan (Bharathiar University)
    • Pankajavalli PB (Bharathiar University)

[00985] A Routing Protocol for Enhancing the QoS in Vehicular Ad hoc Networks

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @E804
  • Type : Industrial Contributed Talk
  • Abstract : The vehicle ad hoc network (VANET) provides various services for safe driving to the driver. The main problem with VANET is routing, since it has much more variation in network topology and node density than conventional mobile ad hoc networks (MANET). In this paper, we propose a QoS routing protocol based on link state information for VANET. The proposed protocol provides an optimal path using link quality and link stability.
  • Classification : 68M10, 68M18, 68M15
  • Format : Talk at Waseda University
  • Author(s) :
    • Jin-Woo Kim (Duksung Women’s University)
    • Jaehee Kim (Duksung Women’s University)