Browsing by Author "Jayakody, J. A. D. C. A."

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Cloud Native Efficient Solution for API Migration Across Environments For Agile Integration Enterprises
(2019 1st International Conference on Advancements in Computing (ICAC), SLIIT, 2019-11-05) Jayakody, J. A. D. C. A.; Perera, A. K. A.; Perera, G. L. A. K. N.
This paper describes an approach to minimize the effort and time in recreating Application programming interface artifacts and facilitate cross-collaboration and efficient migration across heterogeneous platforms environments without any significant post-migration changes and additional effort. The current software development evolution came up with the Agile concept of developing and delivering products in milestones based approach software development organizations are now maintaining separate environments for development, quality assurance, and production. These environments execute independently and have their deployments and own methods of traffic control. When moving Application programming interface artifacts from one environment to another, all the created APIs need to migrate across different environments to test the exact functionality and behavior of the application. Our motivation is to minimize the effort and time in recreating APIs and facilitate accurate and efficient migration across different environments without any significant post-migration changes and additional effort.
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Digital Assistant to Aid Individuals with Print Disabilities to Interpret Printed Materials
(IEEE, 2022-12-26) Priyashan Sandunhetti, S. H. S; Sanduni Madara, P. G; Dilitha Ranjuna, G. P; Prabhash, K. V. A. S; Jayakody, J. A. D. C. A.; Lokuliyana, S
Print disability is the difficulty or inability to read printed material due to a perceptual, physical, or visual disability. An individual can be classified as a print-disabled individual if the person requires alternative access or accessible formats (Braille, Audio) to gain information from printed materials. Print disability can be caused by vision impairments, blindness, physical dexterity problems, learning disabilities, brain injuries, cognitive impairments, and literacy difficulties. There are millions of people around the world who cannot interpret printed materials due to the above difficulties. This can affect the individual’s day-to-day life as well as their studies. Even though there are tools to interpret printed materials into text, most of them are not sufficient to aid print-disabled individuals and lack accessibility options within the tools. Therefore, we propose to develop a mobile-based application to aid print disabled individuals to interpret printed materials which they cannot access without any assistance otherwise. This application will be based on machine learning and image processing and will be able to interpret printed materials including text and paragraphs, mathematical formulas, tables, charts, and images. Also, the application will be designed with accessibility features which enable print disabled individuals to use the application without any third-party assistance.