Browsing by Author "Wellalage, S"

Now showing 1 - 5 of 5

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Aqua Safe: Blockchain Based Maritime Communication System using Ad hoc Network
(IEEE, 2022-12-26) Lokuliyana, S; Wellalage, S; Warusavithana, L; Pathirana, M; Kodithuwakku, S
The lack of a pre-existing infrastructure for facilitating long-range connectivity with the land makes maritime communications extremely difficult. Satellite connections, which are expensive, and use much power, are generally used to communicate on the high seas. For better connectivity between fisheries and land stations, different functional methods such as whether detection, boundary detection, data security, barrier detection, and data communication without interruption have been implemented in the system. Implementing a LoRa WAN system is to inform about emergencies in the deep sea and send the information indicated above. IoT node-based Ad hoc network is used to communicate with the land station without an internet connection. In case of emergency or when the fisheries need to send data and information to the land station in real-time, the fishing boat can interact with the land station through this proposed system. Blockchain technology is used in the system to ensure secure communication of information. In this scenario, the blockchain technology has enabled it to deploy distributed networks and perform secure peer-to-peer transmission and data integrity without a third party accessing the network.
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HopOn: A Personalized Ride-Sharing System based on Socio-Economic Factors
(IEEE, 2021-12-09) Thilakaratne, A; Pinnawala, N; Wijerathna, K; Senavirathna, K; Wellalage, S; Wijekoon, J
Rapid urbanization and increasing income levels combined with poor and insufficient road network to accommodate vehicles is causing a major traffic problem in Sri Lanka. Additionally, in urban areas, traffic congestion is leading to an increase in air and noise pollution as well. Numerous solutions were tried by authorities, yet no promising results were yielded to address these issues successfully. Contrastingly, increasing road network capacity to solve this problem is very costly and feasible only up to a certain point. Another option is to limit the number of vehicles in the city either by law or by alternative means such as ride-sharing. The best ride-sharing method available is the public transportation, however, due to the limitations of it, upper middle-class opt not to use those hence use their own vehicle to get the expected comfortability. This study is aimed at developing a ride-sharing application by profiling the users based on user reputations, vehicle type, socioeconomic variables such as education, social status, and security concerns of the users, and user ratings. Unlike existing carpooling applications that primarily depend on cost and destination to offer ride options, the proposed application further developed to consider the model of the vehicle for fare calculation.
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InCOV Chamber: An IoT based Intelligent Chamber to monitor and identify potential COVID-19 positive patients
(IEEE, 2021-12-09) Liyanarachchi, R. K; Premathilaka, M; Samarawickrama, H; Thilakasiri, N; Wellalage, S; Wijekoon, J
COVID-19, the infectious disease with common symptoms such as tiredness, fever, cough, and severe symptoms such as shortness of breath has become a global pandemic that has an enormous negative impact on society. Because of the disease’s negative influence o n o rganizational operations, the entire world is concerned about its spread within their organization. Despite the fact that fever is currently the only symptom used to identify COVID-19 suspects, there may be COVID-19 patients who may not show any signs of fever. The goal of this study is to use an IoT-based chamber to detect potential COVID-19 suspects by taking into account the aforementioned symptoms. When a person enters the chamber, our system employs Neural Networks and Artificial Intelligence (AI) to detect COVID-19 symptoms like Fever, Anosmia, Cough, and Shortness of Breath. The proposed system yields accuracies of 95% for fever detection, 96% for Anosmia detection, and 94% for cough analysis.
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InCOV Chamber: Intelligent Chamber to Detect Potential COVID-19 Positive Patients
(IEEE, 2022-01-12) Liyanarachchi, R. K; Premathilaka, M; Samarawickrama, H; Thilakasiri, N; Hettiarachchi, N. U; Wellalage, S; Wijekoon, J
COVID-19, the infectious disease with common symptoms such as tiredness, fever, cough, and severe symptoms such as shortness of breath has become a global pandemic that has an enormous negative impact on society.Due to its adverse impact on the operations of organizations, the entire world is highly concerned about the spread of the disease within their organization. Even though fever is the only symptom considered currently to detect suspects, there may be COVID19 patients without any indications of fever. The purpose of this study is to identify potential COVID-19 suspects by taking the aforementioned symptoms into account with the help of an IoT-based chamber. Once a person enters the chamber, our solution uses Neural Networks and Artificial Intelligence(AI) to identify COVID-19 symptoms such as Fever, Anosmia, Cough, and Shortness of Breath. The proposed system yields accuracies of 95% for fever detection, 96% for anosmia detection and 94% for cough analysis.
Embargo
Indoor Autonomous Multi-Robot Communication System
(IEEE, 2021-12-09) Gunawardhana, K. D. W; Kularathana, D. G. D. P; Welagedara, W. H; Palihakkara, H. E; Abeygunawardhana, P. K. W; Wellalage, S
Robotics, and automation systems are a hot issue right now. Controlling multiple robots at the same time has become very popular. On paper, we propose that a wireless robot-to-robot communication infrastructure be implemented to accomplish some specific tasks. The major goal of this proposed project is to showcase communication infrastructure, a dual manipulator system and a mobile charging dock robot have been designed to achieve this. Special topics and services were employed for communication infrastructure. It is more precise than current communication systems. Existing manipulation situations are limited to a single manipulator task; however, in this case, a dual manipulator task has been designed to work corporately. The charging docking stations are the only places where mobile robots may recharge. We presented a Mobile Charging Dock for recharging mobile robots in this project. This proposed project is introducing a secure communication strategy which uses a ROS topic filtering mechanism.