Archanaa R. currently serves as Assistant Professor at Department of Computer Science and Engineering, School of Engineering, Coimbatore Campus. Her areas of research include Wireless Sensor Networks and Soft Computing.






Publication Type: Journal Article
Year of Publication Publication Type Title
2015 Journal Article A. Rajendran, M.V.K. Kiran, Vasudevan, S. K., and A. Baskar, “An exhaustive survey on human computer interaction’s past, present and future”, International Journal of Applied Engineering Research, vol. 10, pp. 5091-5105, 2015.[Abstract]

Technology has grown so much that interactions can happen even between computers and humans. The study related to this filed is called as HCI (Human Computer Interaction). It is more of an inter-disciplinary domain consisting of Computer Vision, Augmented Reality, Machine learning, Networking, Computer Graphics combined to build an effective computing system analysing the behaviour of humans as well as the computer technologies. HCI has simplified the human interaction with computers in the past, present and will always evolve till the end of time. Although the term HCI is in use since 1980’s, this field has come into limelight only after 1990’s. HCI deals with the design aspects of an entity which can be software or a product. It neither focuses on humans nor on the computers, but it certainly focuses on bridging the gap between the humans and computers. The main aim should be to develop a user friendly system rather than being confound. © Research India Publications.

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Publication Type: Conference Paper
Year of Publication Publication Type Title
2014 Conference Paper S. A. V. and Rajendran, A., “Performance enhancement of PV arrays under partial shading conditions using SEPIC converter”, in Computation of Power, Energy, Information and Communication (ICCPEIC), 2014 International Conference on, 2014.[Abstract]

Conventional techniques fail to guarantee successful tracking of the global maximum power point under partial-shading conditions. This results in significant reduction in the power generated as wells as the reliability of the photovoltaic energy production system. For the effective utilization of solar panel under partial shading condition, global maximum power point tracking method (GMPPT) is required. This paper discusses an improved perturb and observe technique for tracking global maximum power point of photovoltaic arrays that has better performance even under partial shading condition than the conventional tracking algorithms. Initially GMPP is located by adjusting the control signal and then the control moves to local MPP stage. For the present study, single ended primary inductance converter is used as the dc-dc interface for MPP Tracking. This is a buck-boost derived converter which is better suited for photovoltaic applications than conventional buck-boost converter. Solar panel has been modelled and partial shading effects are implemented. Simulation results showing the performance of modified algorithm are presented with the help of MATLAB/Simulink. More »»
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