1st International Conference on Advancements in Computing [ICAC] 2019
Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/1599
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Publication Embargo 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. PDiabetes 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.Publication Embargo Air Visio: Air Quality Monitoring and Analysis Based Predictive System(IEEE, 2019-12-05) Dissanayaka, A. D; Taniya, W. A. D; De Silva, B. P. A. N; Senarathne, A. N; Wijesiri, M. P. M; Kahandawaarachchi, K. A. D. C. PSri Lanka is facing a serious air pollution problem that severely impacts the daily life of every Sri Lankan. The main source of ambient air pollution in Sri Lanka is vehicular emissions. A methodology to monitor the air quality in real-time with an overall coverage of Sri Lanka, and automatically process these huge data to identify air quality levels in a specific area is now becoming a timely research topic. An air quality monitoring and analysis based predictive system is proposed to monitor the ambient air quality, provides the best route with minimum polluted air, maps the heatmaps to identify the current air quality of an area easily and predict the future air quality of each area. The prototype was implemented by hierarchically deploying two different gas sensors, an Arduino Uno board and a wifi module, to implement in open spaces between smart buildings, and transfers the sensor data back to the information processing center by using IoT technology for real-time display. The information processing center stores real-time information which is collected from the sensors to the database. By reading sensor data stored in the database, the front-end system draws real-time, accurate air quality levels included maps and predicts the less polluted routes and the air quality level over an area. Further, an energy harvesting system is also presented for the power consumption of the device. A route is suggested in an accuracy of 70% from this system. The final product provides a low cost, highly portable and easily maintainable system for the users.Publication Embargo Therapy Tool for Adolescents with ADHD(IEEE, 2019-12-05) Nugawela, R. C. W. M. R. H. E; Fonseka, W. G. S; Perera, G. U. C; Mihirangi, S. K. S; Kahandawaarachchi, K. A. D. C. PAttention deficit hyperactivity disorder (ADHD) is one of the most common disorders widespread among children and adolescents. Adolescence is the transitional phase between childhood and adulthood. The main three symptoms of ADHD are hyperactivity, impulsivity and inattention. Prevalence of ADHD among adolescents is approximately 5% in Sri Lanka. Treatment is a vital factor in any ADHD patient's lifestyle which involves a combination of pharmaceutical medications as well as therapeutic treatments with the help of the patient's family and friends. With no proper treatment, children and adolescents with ADHD are faced with the risk of carrying on the symptoms of the disorder into adulthood. Hence, the importance of treatments for patients diagnosed with ADHD is clearly evident. The solution derived at is an Android Application to provide a therapeutic treatment acceptable to the three groups of symptoms in ADHD and to track and maintain a log of records of the patient's performance and progression. For this research, one participant each was dedicated for each testing module in order to eliminate subjectivity and ensure accuracy. The Android Application developed consists of activities targeted at treating all main groups of ADHD symptoms and offers a feasible solution for patients, parents and specially for doctors to monitor the patient's progress.Publication Embargo Wedaduru-An Intelligent Ayurvedic Disease Screening and Remedy Analysis Solution(IEEE, 2019-12-05) Bandara, R. I. S; Prabagaran, S; Perera, S. A. K. G; Banu, M. N. R; Kahandawaarachchi, K. A. D. C. PHeart disease is one of the most common diseases worldwide. According to Ayurveda, behavior of humans associated with food habits are root causes of heart diseases. This research focuses on providing a diagnostic tool for heart diseases through a web- based application, where the diagnosis will be directed through the practices of Ayurveda. The proposed web-based solution `Wedaduru' uses artificial intelligence (AI), which analyses the physical appearance of the patient through image processing, and symptoms using a model with questionnaires. Thereby, the solution/application identifies remedies and treatments using supervised learning and provide herb details including the commonly grown areas of herbs using Google API. Heart diseases are predicted with an accuracy of over 86% and classified into four categories as Vataja, Pitaja, Kaphaja and Krimija. The proposed system provides a detailed report of the diagnosed Heart disease along with remedy treatments, diet plan and herbal plants along with locations where herbs can be found. At the end, `Wedaduru' will provide awareness in Ayurveda medicines and its values to common people.