Faculty of Computing

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Author: search.filters.author.Kasthurirathna, DSubject: search.filters.subject.Optimization

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    Predicting Diabetes Mellitus Using Machine Learning and Optical Character Recognition
    (IEEE, 2021-04-02) Silva, W. A. J. R; Shirantha, H. M. K; Balalla, L. J. M. V. N; Ranasinghe, R. A. D. V. K; Kuruwitaarachchi, N; Kasthurirathna, D
    Diabetes Mellitus is recognized as a chronic metabolic disease that is characterized by hyperglycemia. As stated by the International Diabetes Federation, the statistics reveal that the incidence of diabetes among adults in Sri Lanka is 8.5%. In hindsight, this indicates that an average of one in every twelve adults in Sri Lanka is at risk of being diagnosed with the disease. However, presently, due to the lack of knowledge or mediums concerning the disease and its symptoms, diabetes often goes undetected which has resulted in 1/3 rd of the constituent population being unaware that they possess the disease. The proposed system aims to implement an application to read and analyze medical reports which will generate data that predicts the probabilities of the contraction and onset of diabetes, with insurance of maximum system efficiency and data credibility. Machine learning classification algorithms and optimization techniques have been used to predict diabetes status with maximum accuracy. To extract data from medical reports Optical Character Recognition, Image Processing, and Natural Language Processing have been used
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    Optimization of Microservices Security
    (IEEE, 2021-12-09) Kalubowila, D. C; Athukorala, S. M; Tharaka, B. A. S; Samarasekara, H. W. Y. R; Samaratunge Arachchilage, U. S. S; Kasthurirathna, D
    Microservices is a trending architecture, and due to its demanding features and behaviors, billions of business applications are developed based on it. Due to its remarkable ability to deploy and coordinate containerized microservices, Kubernetes deployments support the service mesh architectures, and that ensures secured inter-service communication. The Istio is the widely used service mesh tool at present. However, service-to-service communication happens in the present Istio architecture, and there is a probability of exchanging unauthorized and over-provisioned requests due to incorrect implementation. Currently, these requests are verified within the upstream microservice. Obtaining a response to an erroneous request may take considerable time latency. This research thereby aims to address a solution to reduce the latency of a response by implementing an external validation model. The proposed external validation model ensures that the required parameters are validated and actions are taken before requests reach the service level. External validation enables applications to save significant time and resources.