Department of Computer systems Engineering-Scopes
Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/2178
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Publication Embargo A New Approach for Consumer Protection with Business Intelligence and Data Visualization(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Kariyawasam, K.S.T.U.S.; Liyanaarachchi, L.A.A.S.; Chathurabhani, H.M.N.N.; Jayakody, A.; Attanayaka, B.According to the current market usage in Sri Lanka, there is no proper system to manage the buying and selling process of consumer goods and services. This paper presents a possibility of developing a systematic and essential food items management system using a mobile application with public and private interventions benefiting both the trade and the consumer is being explored. The authors discussed a methodology for managing essential food items through business intelligence and data visualization. It connects the trade and consumer sectors and the public and responsible private sectors related to this sector through a mobile application and presents data related to this sector through business intelligence forecasting and visualization methods. This research will also help reduce consumer problems by building transparency in the essential foodstuff sector. It will also systematically update the future of the essential food and beverage industry. The findings contribute to the body of knowledge on the New Approach for Consumer Protection with Business Intelligence and Data Visualization.Publication Embargo Use of Natural Language Processing and Deep Learning towards Guiding Healthy Cholesterol Free Life(2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Sasanka, D.; Malshani, H. K. N.; Wickramaratne, U.I.; Kavindi, Y.; Tissera, M.; Attanayaka, B.High blood cholesterol is a key risk factor for cardiovascular diseases such as coronary heart disease and stroke. This has become a severe health problem, because it causes a considerable amount of deaths annually. The major risk factors that affect a person’s cholesterol level include unawareness of cholesterol risk, unhealthy dietary habits, lack of proper exercises, and high stress conditions. In this research, novel approaches are introduced to provide an automated and personalized guidance to maintain healthy cholesterol level and raise the awareness of each risk factors mentioned above. This research associates with four novel approaches. Natural Language Processing (NLP) based Cholesterol risk analyzer, Fuzzy based Food management with Meal predictor, Machine Learning based Physical exercise planner and Stress controller. Altogether with results, this research will provide a complete and facts-proven solution to reduce and guide people towards a cholesterol-free healthy lifestyle.