Faculty of Computing

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Author: search.filters.author.de Silva, RHas files: Yes

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    A Tangible E-Learning Solution for Early Childhood Development
    (IEEE, 2022-12-26) Semasinghe, L.S; Hettiarachchi, T. C; de Silva, R; Lokuliyana, S
    Exploration and manipulation of physical objects are essential for early childhood learning. TangiGuru is an e-Learning platform that allows children to engage with real-world physical objects to provide that essential experience within an e-Learning application. TangiGuru consists of 12 tangible, manipulative objects known as TangiCubes, which are used as a tangible user interface between children and the e-Learning application. It can carry out cognitive learning activities related to colors, languages, shapes and basic math by dynamically varying assigned values by changing the external appearance of TangiCubes. This dynamic nature of the TangiCubes makes it possible to use the same tangibles with endless possibilities compared to traditional tangible learning solutions with static value for each tangible. With the initial observations of how children interact with computers, laptops, and mobile devices, the goal is to provide a playful interface for children by taking the approach to embedding and integrating technology into the children’s daily activities. After the prototyping phase, children were evaluated with the traditional tangible learning solutions compared to TangiGuru. They concluded that the more interactive tangible interfaces could make the children perform activities more engagingly.
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    An Integrated Platform of Water Quality Management for National Water Supply and Drainage Board
    (IEEE, 2019-12-18) Hettiarachchi, S; Proboshena, D; Stembo, L; Rajapaksha, H; de Silva, R; Nawinna, D. P
    With the growing rates of population and environmental pollution, the need for in-depth research on sustainable water-quality management systems has become evident. This paper presents a smart system for water quality management including predictive capabilities. The proposed system facilitates the regular monitoring of water quality parameters at water treatment plants using an easy to use IoT device and facilitates to identify water leakage points in the water distribution network using crowd-sourcing and visualization techniques. Most importantly, proposed system is capable of predicting of upcoming changes of water quality with an accuracy of 99% and calculating the respective purification costs. Digital dashboard in the system presents summarized information on leakages, customer feedback, water quality patterns and associated purification costs.
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    SmartOne: IoT-based Smart Platform to Manage Personal Water Usage
    (IEEE, 2019-11-21) Vithanage, J; de Silva, R; Karunaratne, K; Silva, M. D; Bogoda, P; Kankanamge, R; Kehelella, P; Jayakody, K. D; Wijekoon, J
    The origin of life is water, and consistent water consumption is essential for the proper functioning of human organs. Thus, regular hydration is vital for human beings because improper hydration leads to diseases such as cholera, diarrhea, bladder stones, and kidney issues. However, maintaining a sufficient and regulated water intake is challenging for many personal as the livelihood, i.e., busy life schedule, is getting complicated, and sometimes due to limited access to clean water. To this end, the SmartOne water bottle was introduced to enable effective management of daily water requirements and to ensure users drink good quality water. The initial prototype of the water bottle was implemented as a combination of hardware and mobile application, and it was evaluated in terms of measuring water goal, quality, drink and sift event detection.