International Conference on Advancements in Computing [ICAC]

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The International Conference on Advancements in Computing (ICAC) is organized by the Faculty of Computing of the Sri Lanka Institute of Information Technology (SLIIT) as an open forum for academics along with industry professionals to present the latest findings and research output and practical deployments in computing.

The primary objective of ICAC is to promote innovative research that addresses real-world challenges and contributes to the social well-being of communities. The conference provides a dynamic platform for researchers from around the world to present groundbreaking findings, exchange ideas, and establish meaningful collaborations.

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    Monitoring System for Underage Smart Phone Users
    (IEEE, 2022-12-09) Jayawardena, M.A.P; Mahadi Hassan, M.H.F.M; Aflal, M.I.A; Weerathunga, W.A.A.S; Harshanath, S. M. B.; Rajapaksha, U. U. S
    In today’s world, it is very common among children to use a smartphone or a handheld digital device such as a tablet to entertain themselves and as a medium of socializing with people easily. The COVID-19 pandemic forced many people to stay in their homes and rely on these digital devices to do their day-to-day work and communication. The latter caused the increase in reliance on digital devices to acquire information about the outside world and as a source of entertainment. This new tendency increased the likelihood of children being exposed to pornography, cyberbullying, cyberstalking, excessive gaming, sexting, and behavioral traits related to narcissism. These habits caused many children to develop psychological and physiological illnesses, which affected them in the short term and, for some, which affected them and their families in the long run, such as suicide. Our research proposes to constantly monitor behavioral patterns such as this, notify the relevant individuals, and prevent the children from being prone to such ill fates. According to the findings, using machine learning and natural language processing, sexting, phonographic words, and cyberbullying can all be recognized with pinpoint accuracy. Also, by using two machine learning models, depression and anxiety are detected with an accuracy of 0.84 and 0.86. To prevent and analyze computer vision syndrome caused by improper face-screen distance. An image processing-based algorithm is used to measure the distance from face to screen, and results are narrowed down to an accuracy of 1 inch.
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    DiabiTech-Non-Invasive Blood Glucose Monitoring System
    (IEEE, 2019-12-05) Udara, S. S. W. I; De Alwis, A. K; Silva, K. M. W. K; Ananda, U. V. D. M. A; Kahandawaarachchi, K. A. D. C. P
    Diabetes is one of the largest chronic diseases threatening 84 million patients in South East Asia alone. By the year 2045, this is expected to rise to 156 million. Lack of a permanent cure and impractical, expensive, painful measuring techniques are among the reasons behind these alarming statistics. Almost 58% of diabetes patients are not diagnosed in this South Asian region, mainly due to lack of motivation caused by the above issues. This research focuses on finding a solution, which is non-invasive, portable, practical, accurate, and cost-effective with the help of sensors and accessible technology platforms. The research started upon discovering the medical classifications, parameters, contributing factors, and external dynamics that could affect the result. Upon research, an algorithm was developed to calibrate and measure the blood glucose level, which is compatible with dynamic factors of the patients. Later on, the hardware device was built using NIR and red LEDs accompanied by a user-friendly mobile application, which can be accessible by patients of all ages. The results obtained were validated by using statistical techniques. The analysis showed a strong linear correlation between the voltage output and blood glucose level. The overall accuracy of the system accounts for above 90%. Since this solution is noninvasive, it provides a reusable and portable platform which can constantly monitor blood glucose levels conveniently in a painless manner, without any repetitive costs. Further, this solution will help patients to adjust medication based on their current blood glucose levels to reduce both the unnecessary damage of organs and additional costs being incurred.