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Kiruba, R.
- Pandemic H1N1 2009 among Pediatric Age Group in Tamilnadu, June 2009 - Aug 2010
Authors
1 Department of Virology, King Institute of Preventive Medicine & Research, Guindy, Chennai, IN
Source
Indian Journal of Public Health Research & Development, Vol 5, No 3 (2014), Pagination: 226-230Abstract
Influenza A viruses causes recurrent outbreaks on local or global scale with potentially severe consequences on human health and the global economy. The new strain of Influenza A virus - H1N1 2009 had caused pandemic disease among human, probably owing to little or no preexisting immunity to the new strain. This is a retrospective analysis of the impact of H1N12009 on the pediatric population of Tamil Nadu during the pandemic period of June 2009- August 2010. Throat and nasal swabs were taken from the suspected cases admitted in pediatric wards and intensive care units (ICUs) and were subjected to Real time RT PCR. A total of 6245 suspected pediatric cases were screened, of which 787 (12.60 %) were found to be positive for H1N12009. A majority of cases belonged to the 6-12 age group (35.58%). Male children were more affected than female children. Despite a fall in the number of positives in 2010, there is a concern about the probability of a new reasssortment of H1N1 2009 with other viruses of either human or animal hosts during the next season that could result in a potentially pathogenic strain.Keywords
Influenza, Pandemic H1n1 2009, Real Time Pcr, Thermal Cycler
- Real Time Implementation of Enhanced Nonlinear PID Controller for a Conical Tank Process
Authors
Source
Data Mining and Knowledge Engineering, Vol 8, No 6 (2016), Pagination: 188-192Abstract
Level is one of the most important parameter that has to be monitored and controlled in any process industry. Conical tanks are widely used in many industries due to its shape which provides easy discharge of water when compared to other tanks. Moreover, liquid level control of a conical tank is still challenging for typical process control because of nonlinearities. Since PID control is the workhorse of almost 90% of the industries, an Enhanced Nonlinear PID (EN-PID) controller is proposed which exhibits the improved performance than the conventional linear fixed-gain PID controller, by incorporating a sector-bounded nonlinear gain in cascade with a conventional PID control architecture. To achieve the high robustness against noise, two nonlinear tracking differentiators are proposed to select high-quality differential signal in the presence of measurement noise. The main advantages of the proposed EN-PID controller lie in its high robustness against noise and ease of implementation. And in the proposed technique a EN-PID is designed and tuned using the Bee colony optimization (BCO) technique. The BCO algorithm is based on the model that is obtained from the communicative behavior of the honey bees. Simulation results performed on a conical tank level process are presented to demonstrate the performance of the developed EN-PID controller.