Department of Computer Systems Engineering-Scopes

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Author: search.filters.author.Abeygunawardhana, P.K.W.Start date: 2020

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    Smart Backpack for Travelers
    (2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Gunarathne, P.D.R.P.; Amarasuriya, R.M.C.I.; Wickramasinghe, W.A.D.D.; Witharana, A.H.T.N.; Abeygunawardhana, P.K.W.
    Smart backpack is an application-specific design which guarantees a safe journey for travelers. The smart backpack has a different combination of services connected to a single system. It has a unique design that helps to fulfill its services. The system provides the health status of travelers and environmental status by measuring the quality level of the nearby atmosphere. As a security feature, it contains a human detective sensor-based security system. As well as the research consists of an undying power resource which charges by solar cells, the power source can be used to power up the system and to recharge traveler's devices through a USB power outlet. The Backpack has a user-friendly mobile application. This system also provides a health monitoring feature, which monitors the heart rate and body temperature of the traveler. The traveler can share his/her health status with the system and compute the real-time health condition from the outputs of the health sensors integrated into the backpack. The bag model design and building play a major role and has removable unique mini compartments for all hardware components. It should carry maximum weight with minimum pressure for the back of the traveler with minimum cost.
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    Intelligent Disease Detection System for Greenhouse with a Robotic Monitoring System
    (2020 2nd International Conference on Advancements in Computing (ICAC), SLIIT, 2020-12-10) Fernando, S.; Nethmi, R.; Silva, A.; Perera, A.; De Silva, R.; Abeygunawardhana, P.K.W.
    Greenhouse farming plays a significant role in the agricultural industry because of its controlled climatic features. Recent examinations have stated that the mean creation of the yields under greenhouses is lessening due to disease events in the plants. These foods have become an imposing undertaking because these plants are being assaulted by different bacterial diseases, micro-organisms, and pests. The chemicals are applied to the plants intermittently without thinking about the necessity of each plant. Several problems have occurred in the greenhouse environment due to these causes. Therefore, there is a huge necessity for a system to detect diseases at an early stage. This research focused on designing a system to detect disease, which causes yellowish in greenhouse plants. Plant yellowing can be considered a significant problem of plants that grow under greenhouse-controlled environments. Through this research is focused on the most important and one of the most attentiongrabbing crop tomato. There are specific diseases that cause yellowish the tomato plant, and they have been identified. The techniques utilized for early recognition of infection are image processing, machine learning, and deep learning.