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Articles by D. Rajalakshmi
Total Records ( 3 ) for D. Rajalakshmi
  D. Rajalakshmi and K. Dinakaran
  In real time application such as weather forecasting, coal mine surveillance and privacy preserving data streams arrive at a rate higher than in traditional sensing applications. The processing of these raw data must be as fast as stream speed. These applications convert the raw data into a specified pattern and these patterns vary from application to application. It is then subjected to sophisticated query processing to extract high level information. Uncertainty in stream time series may occur for two reasons such as the inherent imprecision of sensor readings or privacy preserving conversion. Representation of uncertain data over stream time-series, uncertain data management and designing of a data mining algorithm on considering the uncertainty affects the data mining process. The processing of data in the real time application is difficult as it is naturally incomplete and noisy and the observed data pattern is different from the actual pattern required for further processing. A major challenge in processing the stream time-series data with uncertainty is to capture uncertainty as data propagates through query operators until the final result and to process the data at stream speed. The modeling of uncertain time-series without affecting the precision of the system still remains a difficult task. More importantly, it should avoid increased false positives. In this study, a survey of time series data management for pattern matching is provided. The similarity search over uncertain data will be explored. The issues in existing research, limitations and methodology for pattern matching on uncertain time series stream data are examined in this study.
  K. Geetha and D. Rajalakshmi
  This study proposes a system such that the performance improvement in load is achieved by providing micro grid connected Photo Voltaic (PV) system with Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) inverter and wind mill with matrix converter. The Genetic Algorithm (GA) is used to generate the gate pulse pattern (odd and even number of switching angles) for SHEPWM inverter over the range of modulation indices. The GA optimized PI controller based space vector modulation technique for matrix converter is implemented to reduce the selective specified lower order harmonics present in the load and also improves the input power fator of matrix converter. This optimized SHEPWM inverter through PV system and optimized matrix converter through wind mill system is simulated using MATLAB Simulink and verified with the experimental results independently. Simulation results prove the validity of the proposed system for both selective harmonics and Total Harmonic Distortions (THD) are reduced on the load side and also the input power factor is improved.
  D. Rajalakshmi and L. Jeniferamla
  This study considers the effect of Pulsed Power Loads (PPLs) on micro-grid power systems such as those on warships, pulsed weapons and recovery systems. A design metric to describe the disturbance of PPLs on power systems is shown. A control strategy utilizes the design metric to reduce the impact of PPL. This strategy is based on identifying the optimal charging profile. Using simulation, it is shown the proposed strategy is highly effective in reducing the adverse impact of pulsed-power loads by reducing the impulse response of capacitor current. This study outlines an approach to analyze the effects of such loads upon the electric power grid using the proposed technique Trapezoidal Based Control (TBC) and a charging profile is developed for the existing analysis technique Limit Based Control (LBC). Both the control techniques are compared to find the effective approach in reducing the impact of pulsed power loads.
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