Browsing by Author "Silva, S."

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Molecular Approach to the Covid 19 VIRUS
(Faculty of Humanities and Sciences - SLIIT, 2021-03-26) Duleela, S.; Dulara, S.; Silva, S.; Inuli, U.; Shivani, T.
Covid - 19 has become a burning problem that has spread all over the world. Cities locked down, airports closed, children have no way of attending school. It is said that for the past few months, more than 2/3 of the world’s population were under lockdown. All these happened as a result of a tiny virus. This article refers to the scientific approach of the Covid -19 virus and how this virus could be eradicated from the world. It includes the latest facts that are found by researchers, scientists and biotechnologists all around the world. It mainly focusses on the structure of the virus, the types of Corona viruses and the lifecycle of the Covid -19 virus. Further it discusses different types of the Corona virus that have affected the whole world in the past and this article shows how this virus has spread among the main countries in the world. University of Oxford, a leading university in UK as well as around the world is taking the lead in finding a vaccine for this deadly virus. Also, how our very own Sri Lankan Scientists and Biotechnologists are striving hard to find a cure for this virus is further discussed in this article. Few recommendations are given in order to get protected from this deadly virus
Embargo
Stress Analysis and Care Prediction System for Online Workers
(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Amarasinghe, A.A.S.M.; Malassri, I.M.S.; Weerasinghe, K.C.N.; Jayasingha, I.B.; Abeygunawardhana, P.K.W.; Silva, S.
Working from home (WFH) online during the covid-19 pandemic has caused increased stress level. Online workers/students have been affecting by the crisis according to new researches. Natural response of body, to external and internal stimuli is stress. Even though stress is a natural occurrence, prolonged exposure while working Online to stressors can lead to serious health problems if any action will not be applied to control it. Our research has been conducted deeply to identify the best parameters, which have connection with stress level of online workers. As a result of our research, a desktop application has been created to identify the users stress level in real time. According to the results, our overall system was able to provide outputs with more than 70% accuracy. It will give best predictions to avoid the health problems. Our main goal is to provide best solution for the online workers to have healthy lifestyles. Updates for the users will be provided according to the feedback we will have in the future from the users. Our System will be a most valuable application in the future among online workers.