Browsing by Author "Jayakody, J.A.V.M.K."
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Item Evaluating the Usability of Sri Lankan University Websites(Uva Wellassa University of Sri Lanka, 2021) Jayakody, J.A.V.M.K.; Athukorala, A.With the internet as the backbone and websites for sharing information over the internet, information and communication technology has revolutionized the way businesses and individuals carry out tasks. To achieve its goals, a university, as an organization that develops knowledge for the world, need a functional website. According to a preliminary study conducted in January 2020, the majority of Sri Lankan university website users are not satisfied with the usability of their university websites, and these poorly designed websites don‟t provide necessary support for universities to compete with world-ranked universities. However, researchers were not focused in studying the usability of Sri Lankan university websites from the perspective of both website developers and website users. The purpose of this study was to evaluate the usability of Sri Lankan university websites from the perspective of website designers in order to identify issues with website development principles and standards by testing websites by automated website testing tools. In addition, the study aims to assess university web sites based on user feedback using a questionnaire-based evaluation method to evaluate the quality of the user experience on websites. As stated in the results, the overall usability score for the Sri Lankan university websites provided by the Web Page Analyzer tool is 43 and by the SEO toolbox is 58% respectively, according to the Pingdom tool the grade for the performance of Sri Lankan university websites is 69, the WAVE tool discussed existing web site errors, and it is critical to increase mobile-friendliness as Mobile User-friendly Testing tool. Confirming to the results of the questionnaire survey, the usability of Sri Lankan university websites is at an average level. Finally, the study recommends best practices for increasing the attractiveness, controllability, efficiency, helpfulness, and learnability of university websites in order to deliver a better user experience. Keywords: Website Usability; Sri Lankan University Websites; Website Development Principles; Website Development Standards; User experience on WebsitesItem High Tech Vision to Detect Currency Denomination and Virtual Wallet to Retrieve the Monetary Position for Visually Debilitated People(Uva Wellassa University of Sri Lanka, 2020) Perera, N.B.L.K.; Franciscus, A.U.; Wickramasinghe, M.G.R.D.; Jayasekara, N.E.C.; Pathirana, K.P.P.S.; Jayakody, J.A.V.M.K.The transformation of currency notes and coins denomination recognition to an automated system as a solution for visually debilitated individuals to overcome the difficulties facing when handling monetary transactions. This research presents a model to detect currency notes and coins to visually debilitated individuals and to retrieve the current monetary position of them as per their obligation and provide audio output in the Sinhala language. The general procedure of the system includes digital image processing, convolutional neural network, voice identification algorithm, and monetary position calculation algorithm. Sri Lanka currency notes and coins images were captured in a wide variety of environments, in association with lighting conditions and background to make the data set, using the image preprocessing technique. The YOLOv2, R-CNN network model which is a high speed, real-time object detection algorithm to verify objects as currency notes and coins. Then by using Keras Xception model, predict images, feature extraction and fine-tuning have been done to train the data set. The Computer vision used to improve machine perception to retrieve real-time detection. The detected currency notes or coins denomination is provided as an audio output, then retrieves the obligation of the user, which is whether to debit, credit or to retrieve the current monetary position. The monetary position provides audio output in the virtual wallet as a substitute for a realworld wallet since impairments have a scarcity in memorizing their actual balance. The study revealed a system to detect and retrieve the currency denomination and monetary position of blind individuals with the overall accuracy rate of 100% in algorithm experiments. Keywords: Visually debilitated individuals, Currency recognition, Virtual wallet, monetary position