International Journal of Modern Computation, Information and Communication Technology

ISSN 2581-5954

July-August 2021, Vol. 4, Issue 7-8, p. 34-37.​​

Medical record management for industry employees
K. Ghouri, S. Deebika*, U. Illakkiya, C. Suriyha, D. Ragul
Department of Electrical and Electronics Engineering, Knowledge Institute of Technology, Salem, Tamilnadu, India.
*Corresponding author’s e-mail:


This research work presents a generalized control algorithm for power quality (PQ) amelioration of the grid in presence of nonlinear load. The proposed method alleviates the voltage imbalance, a power electronic interface is suggested between the source and the load whose function is to provide output voltage regulation and also improve power quality. Maximum power point tracking (MPPT) technique is employed to identify the peak power point and extract peak power from the PV by utilizing a boost convertor. As the inverter in the solar power photovoltaic (PV) feed into the terminal, the output voltage from the inverter needs to be controlled to meet in the AC circuits. The photovoltaic system using proposed control technique is validated under voltage sag-swell, distorted and load removal conditions and the results are displayed. The main aim of the project is to reduce the losses during transaction between the systems and obtain high efficiency.

Keywords: Fingerprint sensors; Raspberry Pi; Radio Frequency Identification; Health Tracking framework.


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