Browsing by Author "Senadheera, RIA"

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item: Conference-Abstract
Covid-19 infection risk assessment for shoppers in retail stores
(Information Technology Research Unit, Faculty of Information Technology, University of Moratuwa., 2022-12) Rathnayake, BRMSRB; Senadheera, RIA; Ranasinghe, RAKH; Sameer, UM; Wickramarathne, J; Sumathipala, KASN; Ganegoda, GU; Piyathilake, ITS; Manawadu, IN
Over the last few years, a large number of smartphone apps have been developed to "flatten the curve" of the rising number of COVID-19 infections. Knowledge of potential symptoms and their distribution enables the early identification of infected individuals. We developed a mobile app-based crowdsourcing methodology to assess the COVID-19infection risk through shopping habits at indoor retail stores. The app's goal is to instil trust in customers to visit stores, which will assist small and medium businesses to survive their operations in the near term. According to the literature, there are several implementations for COVID-19 infection risk estimations for such scenarios. A mobile app prototype was developed, and the risk was calculated using the COVID-19 Aerosol Transmission Estimator model established by the University of Colorado Boulder. The developed prototype mobile app was tested with end users to gather their feedback through a questionnaire. In comparison to the complex implementation associated with AI-based alternatives, this solution could be delivered at a lower cost with adequate accuracy of COVID-19 infection risk assessments.
item: Conference-Full-text
Enhancement module for moinc high performance grid computing framework for web services
(Computer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa., 2009-07) Senadheera, RIA; Senarathne, DP; Wimalasena, CK; Perera, I; Nanayakkara, V; Gunasinghe, UP
Project Infrastructure for Network Computing) is attempt to use processing power of idle computers when they are connected to a network to serve web service requests in architecture. This research paper considers the various aspects of grid computing architecture, clustering and load balancing aspects which have been optimized for distributed request processing of web services. Furthermore many techniques that have been utilized for implementation of volunteer computing model on the framework have also been described. The paper also describes the design of the whole system which can be easily extended in order to further optimization. The ultimate objective is to come up with more generalized grid computing framework for future web services.