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Ramesh P.
AMET University, Chennai

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WareWise: Business Development Management Framework based on Device-to-Device Industrial Internet of Things Ramesh P.; V. Mathivanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp747-750

Abstract

Internet of Things (IoT) - empowered data framework arrangements are developing in different spaces, for example, remote social insurance, keen coordination’s, farming et cetera. In the mean time, Business Development Management Frameworks (BDMF) has turned out to be promising instruments for driving and overseeing gadgets inside IoT frameworks. Be that as it may, past works have not completely tended to how the IoT-based BDMF can proceed with their execution when the included IoT gadgets don't have a dependable Internet association. In this paper, we propose a framework outline for decentralized device to device (D2D) - based BD execution, where versatile hubs have the ability of both executing BDs additionally moving BD execution to different hubs amid runtime. We apply this plan to the field of shrewd coordination’s, keeping in mind the end goal to empower savvy products checking. The exhibited merchandise observing arrangement empowers responding to occasions when they happen, while likewise producing a hint of the checking execution history. A model concentrating on the movement usefulness of the stage has been actualized and tried to assess its execution with regards to the specified savvy coordination’s situation.
Landsman Converter Based Particle Swarm Optimization Technique Ramesh P.; V. Mathivanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp619-622

Abstract

This paper proposes a novel control technique for landsman converter using particle swarm optimization. The controller parameters are optimized by pso algorithm,the proposed algorithm is compared with pid controller and the comparative results are presented. Simulation results shows the dynamic performance of pso controller. landsman converter reduction in output voltage ripple in the order of mV along with reduced settling time as compared to the conventional pid controller . The simulated results are executed in MATLAB/SIMULINK.
Co-Authors V. Mathivanan