http://repositorio.ufc.br/handle/riufc/21982 Sun, 26 Jul 2026 03:38:11 GMT 2026-07-26T03:38:11Z https://repositorio.ufc.br:443/retrieve/a1a91991-6346-4dd7-b570-45d403df0239/comunidade_TCC-GRADUACAO_RI-moldurado.jpg http://repositorio.ufc.br/handle/riufc/21982 http://repositorio.ufc.br/handle/riufc/87249 Título: Mapeamento sistemático da literatura de estudos da otimização da atividade policial militar com inteligência artificial Autor(es): Carvalho, Jose Ivan Salgueiro de Abstract: This article presents a systematic mapping of the literature on the use of Artificial Intelligence(AI) in public security, with emphasis on ostensive policing carried out by the Brazilian Military Police. The review was conducted according to the PRISMA 2020 guidelines, based on searches in Scopus, SciELO, Web of Science, the CAPES Periodicals Portal, and the Brazilian Digital Library of Theses and Dissertations (BDTD), covering the period from 2015 to 2025. After the stages of identification, screening, eligibility, and inclusion, 12 studies composed the final corpus of analysis. The results indicate that AI has been applied in tools such as predictive policing, facial recognition, automatic license plate recognition, and integrated surveillance systems, contributing to expand monitoring capacity, support decision-making, and optimize resource allocation. On the other hand, the literature also highlights challenges related to data quality, technological infrastructure, professional training, algorithmic bias, and governance in the use of these technologies. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/87249 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/87248 Título: Análise da influência das ilhas de calor na bacia hidrográfica do reservatório Quixeramobim-CE por sensoriamento remoto e geoprocessamento Autor(es): Silva Júnior, Paulo César Ribeiro da Abstract: This study evaluated areas of greater surface warming in the drainage basin of the Quixeramobim reservoir, in the semi-arid region of Ceará, using remote sensing and geoprocessing techniques. The research examined how vegetation cover and exposed soil are related to surface temperature in an area affected by water scarcity and high evaporation losses. The contributing basin was delineated from a Digital Elevation Model (SRTM), and Landsat 8 images from 2013 to 2022 were processed to calculate the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). The results indicated an inverse relationship between these parameters. In 2017 and 2019, mean NDVI values were low (0.383 and 0.376, respectively), while mean temperatures were above 36 °C, with some areas exceeding 38 °C. In 2018, mean NDVI reached 0.722 and mean LST decreased to 25.72 °C. Because the 2018 image was acquired in June, near the end of the rainy season, this result should be compared cautiously with the other years. Overall, areas with less vegetation and more exposed soil showed greater surface warming. This condition may favor evaporation, but water losses were not measured directly in this study. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/87248 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/87247 Título: Avaliação da alterabilidade de rochas ornamentais por ataque químico: uma abordagem com análise digital de imagens Autor(es): Xavier, Antonio Álvaro Alves Abstract: Ornamental stones have been present throughout human history and, since ancient civilizations, have been widely used in construction, sculptures, and decorative applications. However, their use without proper technical criteria still persists, highlighting the need for greater awareness regarding their properties and appropriate applications. Thus, this study aims to evaluate the chemical resistance of Branco Ceará and Verde Ubatuba granites when exposed to hydrochloric acid (HCl), potassium hydroxide (KOH), sodium hypochlorite (NaClO), and ammonium chloride (NH₄Cl) through chemical attack tests and digital image analysis. Surface alterations were assessed through visual inspection and quantified using the open-source software ImageJ by generating RGB channel histograms. The results indicate that Branco Ceará granite exhibited the highest chemical resistance, showing only minor alterations when exposed to HCl, while the remaining reagents did not significantly affect its surface. In contrast, Verde Ubatuba granite proved to be more susceptible to chemical attack, presenting noticeable surface modifications confirmed by variations in the histogram parameters. Potassium hydroxide, sodium hypochlorite, and ammonium chloride exhibited a low capacity to induce alterations, as they did not produce significant changes in the chromatic parameters, indicating limited interaction with the constituent minerals under the experimental conditions adopted. It was concluded that the mineralogical composition directly influenced the chemical resistance of the studied rocks, with Branco Ceará granite exhibiting minimal variation in RGB histogram parameters, maintaining mean values close to 205 and preserving its main peak at 234 even after HCl exposure. Conversely, Verde Ubatuba granite demonstrated greater susceptibility to chemical attack, evidenced by changes in pixel intensity distribution. Furthermore, digital image analysis using ImageJ proved to be an efficient tool for identifying and quantifying surface modifications, contributing to an objective assessment of the alterability of ornamental stones and providing support for their appropriate application in different environments. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/87247 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/87240 Título: Uma Síntese Empírica do Método Usarp: Percepção, Aplicação e Desafios em Contextos Acadêmicos e Industriais Autor(es): Barbosa, Emanuel de Abreu Abstract: The elicitation of usability requirements remains a recurring challenge in Software Engineering, particularly due to the difficulty of making usability aspects explicit during early development phases. The USARP (Usability Requirements with Personas and User Stories) method was proposed to support the systematic identification, discussion, and specification of usability requirements through the integrated use of personas, user stories, and usability mechanisms represented by cards. Although previous empirical studies have reported benefits related to the method, an integrated synthesis of the available evidence across different contexts is still lacking. This work presents an empirical synthesis of the USARP method, grounded in the integration of quantitative and qualitative evidence from four primary studies conducted in academic and industrial contexts. The methodology combines descriptive statistical analysis, dimensionality reduction through Principal Component Analysis (PCA), and thematic analysis of open-ended responses, consolidated at the respondent level, enabling the investigation of latent dimensions associated with the perceived value of the method and the perceived usefulness of its mechanisms. The results indicate a broadly positive and homogeneous perception of the method across academic and industrial contexts, with a strong ceiling effect in the assessed items. The Principal Component Analysis, of an exploratory nature, revealed a dimension of general positive perception and secondary contrasts among the method’s card blocks. Comparisons between contexts revealed no statistically robust differences after correction for multiple comparisons, except for one item related to the usability mechanism context. The qualitative analysis of the open-ended responses identified the cards and specification guides as the main element supporting elicitation, along with tensions related to the learning curve and the volume of cards, and the underuse of the prototyping cards. As a contribution, this study provides a critical empirical synthesis of the USARP method, outlining its strengths, limitations, and implications for its adoption in real-world software development settings. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/87240 2026-01-01T00:00:00Z