TCC - Bacharelado em Sistemas da Informação (Sede)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/427
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Resultados da Pesquisa
Item Desenvolvimento de uma infraestrutura em nuvem para monitoramento de ninhos de tartarugas marinhas(2024-03-08) Silva, Wanderson Moura da; Medeiros, Victor Wanderley Costa de; http://lattes.cnpq.br/7159595141911505This Course Completion Work proposes a monitoring system for sea turtle nesting, using the ThingsBoard platform to create a monitoring dashboard. The study seeks to integrate Internet of Things (IoT) technologies and community involvement strategies to improve the conservation of these species, whose existence has long been threatened by various predatory factors. The application on the ThingsBoard platform makes it possible to obtain essential data in real time, such as movement and temperature from devices installed inside the nest. The implemented dashboard will provide a clear visual representation of the status of each monitored nest, automatically generating an alert when critical events occur, such as an excessive increase in temperature or movements that cause the incubated eggs to hatch. The dashboard, in addition to providing crucial information for researchers and environmentalists, will be accessible to the local community through an exclusive mobile application. The project review encompasses ongoing improvement strategies, emphasizing collaboration with local experts and active community participation to optimize the effectiveness of the monitoring application. The central role of the dashboard developed on the ThingsBoard platform is to receive and present data from devices installed in turtle nests, to monitor temperature and movement. This system facilitates understanding and analysis of data, providing insights into the possibility of egg hatching, and contributing to the effective conservation of sea turtles.Item Desenvolvimento de um dispositivo sensor para monitoramento de ninhos de tartarugas marinhas(2024-03-10) Arruda, André Luiz Ribeiro; Medeiros, Victor Wanderley Costa de; http://lattes.cnpq.br/7159595141911505; http://lattes.cnpq.br/7895899500265397The preservation of sea turtles is crucial for marine ecology and global biodiversity, as they play important roles in maintaining coastal and marine ecosystems. Currently, some non-governmental organizations dedicated to this cause monitor nests on beaches along the brazilian coast manually, which requires time and human resources. To streamline this process, this study proposes the implementation of an IoT device equipped with sensors for monitoring sea turtle nests. Utilizing Long-Range, Low-Power (LoRa) communication technology, the device aims to enhance monitoring efficiency and accuracy, thereby contributing to the conservation of these vulnerable species.Item Prototipação de um sistema de localização utilizando Redes LoRaWAN(2024-03-05) Maia, Pedro Lopes; Medeiros, Victor Wanderley Costa de; http://lattes.cnpq.br/7159595141911505; http://lattes.cnpq.br/2161981667043569With the proliferation of the use of IoT technologies, efficient solutions in terms of battery usage and applicability for device positioning have become increasingly necessary due to the demand for location-based services. In this context, signal-based localization techniques, such as fingerprinting, represent a very appropriate solution as they meet the requirements of these applications. In this study, a public dataset containing RSSI values from a LoRaWAN network was used to create machine learning models to evaluate their effectiveness in positioning LoRa devices, offering an alternative to GPS, which due to the high power consumption of device batteries, in many cases, is not viable for IoT systems. After evaluating hyperparameters and applying appropriate methodologies for each algorithm studied, a model was obtained capable of making predictions with an average error of 301.34 meters and a median of 164.26 meters.