Accepted Papers

  • Efficient energy management: A novel technique for prolonged and persistent Automotive Engine
    Ishaan Prakash, Chakshu Baweja, Prithwish Mukherjee, Herambraj Nalawade and Deepak Giri, SRM University,India.
    The need to prevent and control rampant and indiscriminate usage of energy in present-day realm on earth has motivated active research efforts aimed at understanding of controlling mechanisms leading to sustained energy. Although much has been done but complexity of the problem has prevented a complete understanding due to nonlinear interaction between flow, heat and mass transfer in terrestrial environment. Therefore, there is need for a systematic study to clearly understand mechanisms controlling energy-spreading phenomena to increase a system's efficiency. The present work addresses the issue of sustaining energy and proposes a devoted technique of optimizing energy in the automotive domain. The proposed method focus on utilization of the mechanical and thermal energy of an automobile IC engine by converting and storing energy due to motion of a piston in form of electrical energy.
  • D-LEACH: Dynamic Cluster Head Selection Algorithm for LEACH Protocol in Wireless Sensor Networks
    Madheswaran Muthusamy 1, Shanmugasundaram Nallasamy2, Mahendra Engineering College1, Vidyaa Vikas College of Engineering and Technology2 ,India.
    In this paper, a modified cluster head selection algorithm (D-LEACH) is proposed on LEACH that considers the residual energy of the cluster head nodes before initiating the cluster head selection process at the end of each round, with the objective of reducing the number of cluster head selection and thereby prolonged network lifetime. Simulation using NS2 shows that the proposed D-LEACH algorithm has reduced number of cluster head selection count by manifold when compared to LEACH protocol, resulting in reduced overhead in cluster head selection process and substantial increase in lifetime of the network.
  • Wavelength Assignment in WDM Networks
    Ninad Naval and Vinita Tiwari, BITS Pilani, India
    Advent of WDM has enabled us to use the optical fibres to its full capacity by multiplexing different signals into the same fibre. In an established network there is a need to optimize the use of number of wavelengths to minimize the use of network resources. Once the lightpaths are established the wavelength assignment problem mainly can be solved as graph coloring problem. Graph coloring algorithms are analyzed and compared with respect to number of colours used and the computation time.
  • A Hybrid Neuro Genetic Approach for Analyzing Dissolved Gases in Power Transformers
    Alamuru Vani, Vidya Jyothi Institute of Technology, India
    Transformers being a key element in power systems need to be maintained and monitored on a regular basis. Dissolved Gas Analysis (DGA) has been used as a reliable tool in maintaining the safe operation of transformers for a long time. In this paper, genetic algorithm based back propagation neural network (GA - ANN) has been proposed for analyzing Dissolved Gases in Transformer Oil. The proposed approach utilizes a hybrid algorithm that integrates genetic algorithm and the back propagation neural network. The GA-based weight optimization during training of an ANN is employed to improve diagnostic accuracy. The primary motivation for the work is to provide a platform for analysis of dissolved gases to help in the early detection and diagnosis of transformer faults. This work is carried out with assistance from with Andhra Pradesh State Transmission Corporation (APTRANSCO) in the form of required transformer analysis data and expert opinion for validation of the tool.
  • Design of Matched Filter for Radar Aapplications
    Pardhu Thottempudi1 and Alekhya Reddy N2, Marri Laxman Reddy Institute of Technology & Management1, MLR Institute of Technology2, India
    The aim of this paper is to present the details of signal processing techniques in Military RADARS . These techniques are strongly based on mathematics and specially on stochastic processes. Detecting a target in a noisy environment is a many folds sequential process. The signal processing chain only provides to the overall system boolean indicators stating the presence (or not) of targets inside the coverage area. It is part of the strategical operation of the radar. This paper mainly focuses on Design of Matched filter and generation of chirp Signal.
  • Interferogram decodification on Nios II softcore for MEMS measurement
    Carlos Alberto Ramos Lopez, Abimael Jimenez, Angel Sauceda Carvajal, JoseAntonio Murioz Gomez, Marco Antonio Gurrola Navarro and Jose Mireles Jr, Universidad Autonoma de Ciudad Juarez, Mexico
    In this paper, a system for interferograms decodification was implemented with special emphasis on portability. The hardware/software architecture was designed to perform the bidimensional phase unwrapping task by iteratively solving the Poisson equation by the BiCGSTAB algorithm. The architecture is implemented on an Altera Cyclone IV FPGA and is designed as a system on programmable chip embedded on a Nios II soft-processor. A comparison of different phase unwrapping algorithms is given and discussed, showing that the proposed scheme achieves similar results to other state of the art techniques. These comparisons not only validated the phase unwrapping ported to the Nios II architecture but also prove that the system was successfully designed on a compact DE2-115 FPGA board.
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