https://repositorio.ufu.br/handle/123456789/18919 Sat, 19 Sep 2026 00:47:27 GMT 2026-09-19T00:47:27Z https://repositorio.ufu.br/handle/123456789/50299 Title: Análise da maturidade em gestão de projetos e previsão de desempenho operacional em uma startup de tecnologia Fri, 31 Jul 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/50299 2026-07-31T00:00:00Z https://repositorio.ufu.br/handle/123456789/50110 Title: Sistema de apoio à apuração de presença e votação em reuniões de conselhos superiores da UFU Abstract: This work presents the development of a support system for the Council Secretariat of the Federal University of Uberlândia (UFU) for tallying attendance and voting in meetings of the university's higher councils, such as CONSUN and CONGRAD. The system automates the cross referencing between attendance and voting reports exported from Microsoft Teams and the list of council members eligible to vote in each meeting, keeping the quorum updated in real time and reconciling participants identified in different ways across data sources, such as by name in one spreadsheet and by e-mail in another, relying on manual validation by the secretariat only when this identification is not clear. The system was developed using Java and the Spring Boot framework on the back-end, Angular on the front-end, and an embedded H2 database, following an iterative and incremental process, with each feature tested with real data before proceeding to the next. At the end of development, the twelve functional requirements defined for the system were implemented and validated through a manual test plan, confirming that the system meets the proposed objectives and reduces the manual work previously performed by the secretariat, although it still depends on manually exporting reports from Teams, since there is no direct integration with the platform. Mon, 10 Aug 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/50110 2026-08-10T00:00:00Z https://repositorio.ufu.br/handle/123456789/50091 Title: Ajuste evolutivo de um modelo de autômatos celulares para simulação de dinâmica de evacuação de pedestres Abstract: Emergency situations in enclosed spaces require a large number of people to evacuate in a short time, and observing this behavior directly is unfeasible for ethical and cost reasons. Computational simulation fills this gap by allowing such situations to be reproduced and studied, and by supporting the planning of safety measures. Among the available tech- niques, Cellular Automata (CA) stand out for being lightweight and fast, which makes it feasible to dynamically explore many situations and variables. Models of this kind, however, depend on behavioral parameters that can rarely be measured directly, which turns their configuration into a search problem over a large, non-linear space, one for which Genetic Algorithms (GA) are an established alternative. This work proposes a GA built to adjust the parameters of a pedestrian-dynamics CA-based model that combines two models from the literature, one introducing the greedy movement choice and another introducing the concepts of confusion field and signage. The GA’s parameter adjustment is carried out through the analysis of spatial and temporal evacuation metrics: density, dispersion, flow and total time. Due to the absence of real data, the algorithm’s efficiency in reproducing the dynamics observed in data artificially generated with the CA model itself was evaluated, along with the model’s behavior in normative pedestrian-dynamics tests. Additionally, the same evolutionary mechanism was reused to optimize those same metrics through the placement of emergency signs on the already calibrated model. Ex- perimental results showed that the model calibrated by the GA was able to reproduce the reference spatial behavior across the regimes examined, just as sign optimization reduced evacuation time, with the gain depending on the environment’s topology. Fri, 07 Aug 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/50091 2026-08-07T00:00:00Z https://repositorio.ufu.br/handle/123456789/50063 Title: Estudo de um modelo de rede neural convolucional aplicado ao reconhecimento facial Tue, 17 Mar 2026 00:00:00 GMT https://repositorio.ufu.br/handle/123456789/50063 2026-03-17T00:00:00Z