ABSTRACT
COVID-19 is making a huge impact both in terms of the economy and human lives. Many lost their lives due to COVID-19 which is found in most of the nations. The number of positive symptoms is increasing rapidly all over the world. To safeguard us from the virus, some protocols have been addressed by WHO in which people has to wear a mask and make a social distancing when moved in public. Therefore, social distancing places an important role in preventing us from the spread of the diseases. The minimum distance between to be maintained is informed at 6 feet informed by the health organizations. When people gathered on a group social distancing could not be maintained even if manual or any kind of technology implemented. Temperature measurement on mass gathering was also a tedious process where the monitoring is essential. Multiple methods such as thermal cameras, temperature sensors for monitoring the personnel has not been efficient. In the proposed work to monitor the social distancing between the persons an ultrasonic sensor is placed to detect the obstacle and an IR sensor to make the rover move. An encoder is used to calculate the distance based on the rpm of the wheel. Based on this input the distance is checked within this limit the obstacle is detected, an alert signal is made using the buzzer. A thermal sensor is used to measure the temperature of the person and an LCD display shows the temperature of the person and distance between obstacles. The proposed system has resulted in identifying the distance and helps in reducing the spread during the pandemic situation. © 2023 IEEE.
ABSTRACT
India is a country that consists of most process industries, where most of the end products are related to water or other liquid state materials. In recent days pharmaceutical industries have grown on a larger scale due to the COVID'19 situation. One of the major processes is to maintain the level of the liquid for having a continuous process. In this proposed process, Proportional Integral (PI), Internal Model Controller (IMC) based PI is implemented on a three-tank integrating system with two input and two output (TITO). IMC-PI gain values are acquired and decoupled using the decoupler matrix by determining RHP poles and zeros for the TITO system. Since two input tanks are involved, therefore two different gain values are calculated keep the liquid at the given level. The proposed system has given has resulted with 180 seconds and 190 seconds for Settling time and 5% and 0% of Overshoot for two tanks. © 2022 IEEE.
ABSTRACT
AIM: The SARS-CoV-2 pandemic is characterised by multiple reports of paediatric multisystem inflammatory disease or multisystem inflammatory syndrome in children (MIS-C) with Kawasaki disease-like features often complicated by myocarditis, shock and macrophage activation syndrome. Certain clinical and laboratory markers may be used to identify high risk cases. METHODS: All sequentially admitted patients hospitalised between April 2020 and October 2020, who met the WHO case definition for MIS-C were included. Data included patient demographic information, presenting symptoms, organ dysfunction and laboratory parameters. SARS-CoV-2 infection was diagnosed by nasopharyngeal swab real-time reverse transcription-polymerase chain reaction and/or rapid antibody test for SARS-CoV-2 as recommended. The clinical and laboratory criteria were compared in the survival and non-survival groups. RESULTS: A total of 29 patients with MIS-C were treated during the study period. There were 21 survivors and 8 non-survivors. The non-survivors had more neurocognitive and respiratory symptoms along with increased incidence of myocarditis compared with survivors. The serum levels of CPK-MB, D-dimer, ferritin and triglyceride were significantly raised in non-survivors as compared to survivors. CONCLUSION: The non-survivor group had higher CPK and greater proportion of children with troponin-T elevation indicating higher incidence of myocardial injury and necrosis. The D-dimer, ferritin and triglyceride were also higher in the mortality group, indicating the greater extent of inflammatory damage in this group.