ABSTRACT
Covid-19 is more likely to spread in campus than it in other places because students live together without masks. In this case, it is necessary to take nucleic acid tests in a unified time regularly. To make nucleic acid tests efficient and convenient to manage students and the testing time, this article would apply queuing theory to design a nucleic acid tests queuing system by using the data from Sanda University in April 2022. According to the special conditions on campus, such as course schedule, students' daily activities, and campus management, students would be grouped by several management styles. The system would calculate the start time and waiting time for each group and would strive to take nucleic acid tests in an orderly manner with minimal waiting time. © 2022 IEEE.
ABSTRACT
The outbreak of the deadly Covid-19 virus has snatched smiles from everyone’s face and now the entire world has been affected directly or indirectly by the effects of the virus, this virus keeps on mutating due to which there is no proper medicine or a final vaccine that assures it will curb the spread of the virus, major countries all over the world has lost more people than in a war and is still losing its people even after getting fully vaccinated. The horror is so much imbibed in each human it seems unrealistic to even think that the world will be normal ever again. This outbreak of the unknown virus is certainly a black-swan event that has annihilated people economically, emotionally, and socially and has made each individual realize the importance of one’s health and how to be a responsible person by taking care of whatever finances one has, as in unprecedented times savings are the only resort left with a person. It is a testing time and everyone is at war, we all are soldiers in this pandemic and our health care workers, administration, and government are trying their best to stop the spread of the disease as it has killed more than four lakh people in India only and in the world tally is more than forty lakhs with numbers increasing. In this appalling situation when everything has been shifted to online mode solutions must be looked at in more technologically driven methods, in today’s world due to rapid advancement in the IT and computer science sector there are ways to track the next rising hotspot of the virus and how it can be contained by taking swift actions if predicted within a particular time frame. Data collection, data analysis, and studying trends can help in assessing the upcoming threats, and in this manner, new job opportunities can also be created as it will involve people being prepared with limited medical knowledge to cure the people affected with the virus. In these times government and administration must adopt technologically backed solutions which will help the system to make accurate decisions based on real-time data-driven modeling capable of identifying the relevant information. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
With time, Science has proved to be the Best Solution for solving problems and making our work easier and effective. In the last year and a half, COVID-19 has completely transformed our lives. Technology has become more important and necessary than ever in order for us to lead a quality life and help us adjust to the new normal. If one thing that COVID-19 has shown us profoundly, then it is how machines and technology can perform certain tasks efficiently, sometimes better than humans. Be it delivering food and medicine or predicting the number of cases or telling us the probability of spread of the virus, technology has proven to be very efficient in these testing times. Especially with a virus-like COVID-19 which is highly contagious and spreads through human contact, humans were highly dependent on technology even for the simplest of tasks. Through this paper, we review and research how exactly important technological domains Robotics, Data Science, Data Analytics, Computer Vision, VR, and others have played a major role or can play a major role in the management of and study of COVID-19. We have done a thorough study on the various technologies used to combat COVID 19. © 2022 IEEE.
ABSTRACT
The setup of an automated hardware-in-the-loop test bench using the IOT's ethernet facility is proposed in this paper. The implementation of this embedded structure was critical in the COVID-19 scenario for sticking to social distancing guidelines. The key hardware used to automate the manual test benches for in-house development of this embedded solution is an Arduino UNO with an Ethernet shield.Automated test bench setups have benefits over manual test bench setups, such as shorter testing times and no manual effort. The results show that the proposed automated hardware-in-the-loop test bench setup was successfully implemented, with the added benefit of internet of things using an Arduino Uno ethernet shield. © 2021 IEEE.
ABSTRACT
With COVID-19 still present, bringing students safely back to campus is a critical task. COVID-19 testing has become synonymous with controlling an outbreak;however, concerns about how to safely test numerous students in a short amount of time have arisen. Simulation modeling and analysis provide valuable solutions by giving clear insights into complex systems. A discrete event simulation (DES) model is used to study a COVID-19 testing facility at a university. The aim of the simulation study is to optimally allocate limited resources, identify bottlenecks, and propose an alternative scheduling strategy to improve system performances. COVID-19 testing completion time, waiting time in queue, and throughput are assessed for efficiency and safety. The optimal ratio of resources allows for efficient allocation of resources, without reducing system capability. With standard scheduling of arrivals, long queues in the first 10 minutes increase the risk of COVID-19. Overlapping scheduling is a method of scheduling with overlapping time blocks that distributes arrivals more evenly. The proposed alternative of overlapping scheduling addresses the issue of long queues, potential close contacts, and low system operational efficiency. The proposed alternative reduces the maximum arrival queue by 64.51% and the maximum COVID-19 testing time by 16.67%. The proposed alternative can handle a 33.33% increase in demand, resulting in equal average COVID-19 testing times as the baseline model. © 2021 IISE Annual Conference and Expo 2021. All rights reserved.