https://repositorio.ufms.br/handle/123456789/6098 2026-06-19T11:05:23Z https://repositorio.ufms.br/handle/123456789/14455 Título: Explorando a Viabilidade da Computação Quântica em Dados Biomédicos: Um Benchmarking entre Processamento Digital Clássico e Algoritmos Quânticos Abstract: The computational analysis of biomedical data involves noisy, non-stationary, and often nonlinear signals. Among these signals, Heart Rate Variability, obtained from electrocardiogram-derived RR interval time series, provides relevant information about autonomic regulation of cardiac activity and may support the distinction between physiological patterns associated with normotensive individuals and individuals with hypertension under pharmacological intervention. This work investigates the feasibility of Quantum Machine Learning algorithms in this context through a benchmark between classical digital processing and simulated hybrid quantum models. The methodology includes the extraction of temporal, entropic, fractal, geometric, and spectral descriptors, the construction of a classical baseline using ensemble models, and the development of quantum architectures based on Quantum Support Vector Classifier and Quantum Feature Maps. The study compares consolidated experimental milestones obtained after successive engineering tests, including variations in angular encoding, feature selection, circuit depth, entanglement topology, and Data Re-uploading. The results indicate that the classical reference model achieved a global mean accuracy of 83.73% and a peak accuracy of 91.67%, while the most stable hybrid quantum configuration achieved a mean accuracy of 80.17% and a peak accuracy of 90.00% in ideal simulation, using only four main descriptors redistributed across eight qubits. The findings suggest that the quantum approach does not currently replace mature classical methods, but it shows experimental competitiveness and dimensional efficiency in a realistic biomedical problem based on cardiac signals. The results should be interpreted as exploratory evidence obtained from a limited-scale dataset, rather than as definitive clinical validation. The research also highlights relevant limitations of noisy intermediate-scale quantum computing, such as simulation cost, encoding restrictions, noise sensitivity, and dependence on rigorous classical preprocessing. Tipo: Trabalho de Conclusão de Curso 2026-01-01T00:00:00Z https://repositorio.ufms.br/handle/123456789/14103 Título: Desenvolvimento de uma Chocadeira Multiespécies Automatizada com Controle PID e Interface Integrada Abstract: This work presents the development of a multi-species automated incubator capable of accommodating both birds and reptiles, with precise control of temperature and humidity. The system is based on the ESP32 microcontroller and integrates digital sensors, an automatic egg-turning mechanism, and a PID control algorithm to maintain temperature within optimal ranges for different species. The incubator supports fully automated operation, adjusts incubation parameters for each species, and provides a manual mode for users to make specific adjustments when necessary. The design aims to optimize embryonic development and reduce losses caused by humidity and temperature fluctuations, which are common in semi-automatic or low-cost commercial models. By combining automation, flexibility, and precision, this work offers an accessible and adaptable solution for diversified poultry production and scientific research in artificial incubation. Tipo: Trabalho de Conclusão de Curso 2025-01-01T00:00:00Z https://repositorio.ufms.br/handle/123456789/14082 Título: Estendendo uma API Gráca com Materiais Programáveis Abstract: In computer graphics, rasterization is one of the primary rendering methods, involving the projection of scene polygons onto the screen plane to calculate which pixels they cover. Control over the visual appearance of this process is granted to the developer through shaders, programs executed directly on the GPU. One of these shaders is the fragment shader, or pixel shader, which is responsible for calculating shadows and effects that determine the final pixel color. This work is situated within the context of the "Ds" class library, a tool developed during a Computer Graphics course that utilizes rasterization via OpenGL, a common graphics API in academia. In this library, the material of the actors currently uses a single fragment shader that applies the Phong lighting model, with its modifiable properties exposed in the graphical interface. Therefore, the objective of this work is to extend this functionality, allowing materials to use different shaders, including user-defined ones. This requires the interface to be constructed dynamically based on the specific properties of the shader selected for a given material. Furthermore, it involves rewriting the rendering loop to ensure each actor is rendered with its respective shader within the same scene. Tipo: Trabalho de Conclusão de Curso 2025-01-01T00:00:00Z https://repositorio.ufms.br/handle/123456789/14069 Título: Proposta de uma Intervenção Gamificada Desplugada para a Disciplina de Gerenciamento de Serviços de TI. Abstract: Generation Z students, born between 1997 and 2010, have shown difficulties in adapting to traditional teaching methodologies, which are typically characterized by a passive learner role and expository instructional practices. This scenario is also evident in higher education, including Technology and Computing programs. In this context, this study presents a non-digital, gamified pedagogical intervention implemented in a class of the IT Service Management course. The intervention was designed using gamification elements adapted to an unplugged format. Data were collected through questionnaires applied to the students after the activity. The results were predominantly positive, indicating increased engagement, motivation, and perceived learning. The findings suggest that gamification is an active learning strategy capable of enhancing student involvement and making teaching more dynamic in higher education technology courses, while also offering a replicable structure for different disciplines and academic contexts. Tipo: Trabalho de Conclusão de Curso 2025-01-01T00:00:00Z