Soumya Mishra, Soumya
Senior Resident, Dept of Physiology, JIPMER, Puducherry.

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CONGENITAL ANOMALIES AMONG NEWBORNS Devassy, Unnimon K.; M., Danasegaran; Sailesh, Kumar Sai; Mishra, Soumya; Reddy, Udaya Kumar; J., Antony N.
BALI MEDICAL JOURNAL Vol 4 No 1 (2015)
Publisher : BALI MEDICAL JOURNAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (253.38 KB)

Abstract

Background: The present study was undertaken to assess the incidence of congenital anomalies among newborns. The total anomalies were 280 and the highest incidence has been identified in the year 2011, and the incidences were high in the gastrointestinal system. It also reveals that the incidence is higher in low birth weight newborns, and the major incidence has been identified in full term newborns. Results: results of the study can be used to predict future incidence of anomalies and to increase public awareness about congenital anomalies to take preventive measures.
Load frequency control of interconnected power system using cuckoo search algorithm Mishra, Soumya; Kumar, Pujari Harish; Ramasamy, Rajarajan; Edayillam Nambiar, Renjini; Puvvada, Praveena
Bulletin of Electrical Engineering and Informatics Vol 13, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i3.6714

Abstract

This paper presents a new time-domain multi-objective function approach for solving load frequency control issue in an interconnected power system. The performance of interconnected power system in each area is validated for overshoot and settling time values of frequency change and tie-line power exchange. An objective function is created with the goal of enhancing proportional integral derivative (PID) controller settings by reducing overshoot and achieving faster time-domain settling times. The efficiency of the proposed time-domain multi-objective function is evaluated in a two-area thermal power plant using a nature-inspired cuckoo search optimization (CSA) technique. By comparing the time-domain simulation results of the test system with the existing integral error-based objective functions IAE, ISE, ITAE, and ITSE, the proposed objective function is validated. Further, a sensitivity analysis were carried out to analyze the robustness of the proposed multi-objective function under various uncertain conditions.