Research Papers - Dept of Information Technology

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    Amazon Biology: An Augmented Reality-Based E-Book for Biology
    (2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Somakeerthi, D.C.S.; De Silva, G. W. I.U.; De Silva, L.D.T.; Chandrasiri, S.; Joseph, J.K.
    Biology is a conventionally struggling subject to learn from both high school and college students due to its complexity. Students are used to learning Biology from various methods such as reading textbooks, attending lectures. Biology is based on more practical and most of the schools not available proper lab facilities, anatomic structures, and resources to learn the module easily. And teachers who teach the module face a considerable number of issues when delivering the concepts. Some of them face unavailability of teaching aids, time-consuming, lack of lecture materials. Apart from that, the nature of the topic and the teaching style are the main learning problems faced by the students. Therefore, students do not learn the concepts perfectly and interest in the module has been reduced day by day. To overcome these difficulties “Amazon Biology,” mobile application has been proposed. The application consists of three major modules including image processing for the plant classification, augmented reality for human anatomy, and gamification. The proposed application has used the techniques in augmented reality and game-based learning. The developed system delivers nearly 85% level of accuracy and provides more advantages for students. They are effective and efficient learning, teaching via visual materials, and practical.
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    Mobile Based Solution for Vehicle Assistance
    (2021 3rd International Conference on Advancements in Computing (ICAC), SLIIT, 2021-12-09) Wickrama, M.A.D.; Dharmakeerthi, D.S.C.; Balasooriya, S.A.; Ekanayake, U.M.I.S.; Gamage, M.P.; Amarasena, N.
    At present majority of the people in Sri Lanka use private vehicles as their mode of transport. Vehicle breakdown is a main issue faced by the vehicle drivers onroad. But depending on the nature of the underlying reason of breakdown, some minor failures can be fixed by the users themselves if they have the basic knowledge, which the majority lacks. If the vehicles undergo a breakdown in a remote location, getting help or finding the required spare parts become a hindrance. In addition to that, vehicle owners need a platform to get a clear idea and comparisons of vehicle insurance companies and insurance packages. As a solution for the above concerns, authors decided to develop a mobile application to assist drivers with vehicle breakdowns and maintenance along with some extra functions. The suggested system's major functions include providing a personal assistant to aid with vehicle breakdowns, predicting upcoming vehicle maintenance procedures, providing trustworthy spare part pricing, and recommending the best insurance providers to customers. In order to develop the product several technologies and techniques including Natural Language Processing, Neural Networks, and Sentimental Analysis are used. Customers are extremely satisfied with the product's efficacy, according to the results of the survey.