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Pudukkottai, India

Kumar P.R.,KS Rangasamy College of Technology | Palani S.,Sudharsan Engineering College
International Conference on Pattern Recognition, Informatics and Medical Engineering, PRIME 2012 | Year: 2012

With growing of applications of the embedded system technology to mobile systems, energy efficiency is becoming an important issue for designing real time embedded systems. One of the possible techniques to reduce the energy consumption is the Dynamic Voltage Scaling (DVS). DVS utilizes the slack time and adjusts the supply voltage so as to reduce the energy expense. However, how to optimally adjust the supply voltage is a NP hard problem. This paper focuses the combinational optimization problem, namely, the problem of minimizing schedule length with energy consumption constraint and the problem of minimizing energy consumption with schedule length constraint. These problems emphasize the tradeoff between power and performance and are defined such that the power-performance product is optimized by fixing one factor and minimizing the other. We propose the analytical result which gives the variation factor of each power supply which depends on the workload and provides the same power supply while meeting the constraints. We address to the use of genetic algorithm to schedule the tasks and then find the optimal power supplies and determine the schedule length on the multiprocessor system. © 2012 IEEE.


Anandakrishnan V.,National Institute of Technology Tiruchirappalli | Mahamani A.,Sudharsan Engineering College
International Journal of Advanced Manufacturing Technology | Year: 2011

This paper presents the results of an experimental investigation on the machinability of in situ Al-6061-TiB2 metal matrix composite (MMC) prepared by flux-assisted synthesis. These composites were characterized by scanning electron microscopy, X-ray diffraction, and micro-hardness analysis. The influence of reinforcement ratio of 0, 3, 6, and 9 wt.% of TiB2 on machinability was examined. The effect of machinability parameters such as cutting speed, feed rate, and depth of cut on flank wear, cutting force and surface roughness were analyzed during turning operations. From the test results, we observe that higher TiB2 reinforcement ratio produces higher tool wear, surface roughness and minimizes the cutting forces. When machining the in situ MMC with high speed causes rapid tool wear due to generation of high temperature in the machining interface. The rate of flank wear, cutting force, and surface roughness are high when machining with a higher depth of cut. An increase in feed rate increases the flank wear, cutting force and surface roughness. © 2010 Springer-Verlag London Limited.


Ravi S.,Sudharsan Engineering College | Joseph M.,St. Josephs College
ACM Transactions on Design Automation of Electronic Systems | Year: 2014

High-level test synthesis is a special class of high-level synthesis having testability as one of the important components. This article presents a detailed survey on recent developments in high-level test synthesis from a synthesis process flow perspective. It also presents a survey on controller synthesis techniques for testability. © 2014 ACM.


Sundareswaran K.,National Institute of Technology Tiruchirappalli | Vignesh kumar V.,National Institute of Technology Tiruchirappalli | Palani S.,Sudharsan Engineering College
Renewable Energy | Year: 2015

This paper explains the development of a new algorithm for maximum power point tracking (MPPT) in large PV systems under partial shading conditions (PSC). The new algorithm combines the use of particle swarm optimization (PSO) for MPPT during the initial stages of tracking and then employs the traditional perturb and observe (PO) method at the final stages. The methodology has been first simulated in two different PV configurations under varying shading patterns and experimentally verified using a microcontroller based experimental system. The integration of swarm intelligence with PO algorithm is shown to yield faster convergence to the global maximum power point (GMPP) than when the two methods are individually used. The oscillations in the output power, voltage and current of the PV system with the proposed method are the least when compared to the ones obtained during PSO based MPPT. © 2014 Elsevier Ltd.


Abdul Hameed K.,Anna University | Palani S.,Sudharsan Engineering College
Archives of Electrical Engineering | Year: 2013

In this paper, a novel bacterial foraging algorithm (BFA) based approach for robust and optimal design of PID controller connected to power system stabilizer (PSS) is proposed for damping low frequency power oscillations of a single machine infinite bus bar (SMIB) power system. This paper attempts to optimize three parameters (Kp, Ki, Kd) of PID-PSS based on foraging behaviour of Escherichia coli bacteria in human intestine. The problem of robustly selecting the parameters of the power system stabilizer is converted to an optimization problem which is solved by a bacterial foraging algorithm with a carefully selected objective function. The eigenvalue analysis and the simulation results obtained for internal and external disturbances for a wide range of operating conditions show the effectiveness and robustness of the proposed BFAPSS. Further, the time domain simulation results when compared with those obtained using conventional PSS and Genetic Algorithm (GA) based PSS show the superiority of the proposed design.

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