DSpace Communidade:

Modelagem matemática e computacional do modelo de monod fracionário no estudo de biocombustíveis para possíveis aplicação em foguetes

2026-05-20T00:00:00Z

Título: Modelagem matemática e computacional do modelo de monod fracionário no estudo de biocombustíveis para possíveis aplicação em foguetes Abstact: This dissertation addresses the mathematical and computational modeling of bioprocesses oriented toward biofuel production, with potential applications to the study of rocket propellants. The work demonstrates the limitations of the classic Monod kinetic model and proposes an innovative approach using fractional calculus to describe the kinetics of reactions in biological systems. The introduction of fractional-order derivatives, within the Riemann-Liouville and Caputo formulations, allows the incorporation of memory effects and non-locality, which are inherent characteristics of complex bioprocesses. The general objective consists of the creation and computational application of a fractional Monod model for the analysis and optimization of biofuel production. The adopted methodology includes implementation in the Python language using the Modified Iterative Regularized Finite Difference Method (MIRDF), designed for the numerical resolution of non-linear fractional differential equations. Simulations were carried out in a batch reactor configuration, with parameters μmax = 0.009 h−1 and Ks = 4 × 10−8 mg/L. The results demonstrate that the fractional model, with order α < 1, describes microbial growth phases with greater fidelity compared to the classic model (α = 1.0), producing smoother transition curves between the lag and exponential phases and incorporating the historical dependence of the system. The numerical validation of the MIRDF, grounded on linear test problems for rigorous convergence analysis before application to the coupled nonlinear Monod system, yielded absolute errors on the order of 10−7, confirming the precision and robustness of the method under the conditions of Banach’s Fixed-Point Theorem. Comparative analysis with similar studies shows that the fractional parameter α acts as a calibration factor, expanding the predictive capacity of the model. It is concluded that fractional calculus constitutes an effective engineering tool for optimizing bioprocesses aimed at producing highperformance renewable propellants for aerospace applications, contributing to the development of clean energy sources in the space sector

Segmentação de textos jurídicos: estudo de caso em petições

2026-03-28T00:00:00Z

Título: Segmentação de textos jurídicos: estudo de caso em petições Abstact: The growing volume of legal cases highlighted in the 2023 report of the Conselho Nacional de Justiça highlights the urgency of effective strategies for screening and document analysis. With 81.4 million cases pending at the end of 2022, the Judiciary faced a major challenge in terms of management and decision-making regarding this vast set of documents. These documents, mostly textual, can be seen as a sequence of semantically coherent segments, designed to facilitate the transition between different subtopics within a single document. In this way, dividing a document into similar segments can help improve and/or speed up downstream applications. In this sense, the segmentation of initial petitions into descriptions named fact, thesis and request (FTP) emerges as a promising approach. Therefore, this study proposes the construction of an initial petition segmenter, using neural networks together with incorporations from the Bidirection Encoder Representations from Transformers model in a database of petitions to be annotated manually, discovered by Cross Industry Standard Process for Data Mining methodology. The objective lies in performing automated identification of the FTP triplet in order to provide the most relevant parts of the petition in the legal context. Furthermore, the proposed approach can be adapted to other natural language processing tasks, such as summarization and textual search. By focusing on the essential elements for analysis and response, it is expected to reduce the volume of information to be processed, thus optimizing operational efficiency. Furthermore, the division of the petition in particular facilitates the quick and accurate identification of key elements, accelerating the understanding process, especially when sent in conjunction with automated systems and solutions from the Justice 4.0 program

Acessibilidade Urbana facilitada por um protótipo de sistema para PcD

2024-01-01T00:00:00Z

Título: Acessibilidade Urbana facilitada por um protótipo de sistema para PcD Abstact: This work shows results from the development of a prototype system with a focus on urban accessibility that serves various types of People with Disabilities (PwD), in addition, an academic research questionnaire was applied aiming to amplify the vision regarding the main topic addressed, as well how to evaluate the use of the proposed system solution. The objective of this research is to contribute to society through social inclusion and applicability of the future solution in smart cities, starting through the experiment on an academic campus. This article also delves into technological and social aspects that can serve as a reference for consultations by researchers, public and private bodies who seek depth in their studies. However, as the topic is of great relevance, it is clear that this line of research is still little explored, especially in Brazil, given the limited number of articles available.

Análise da robótica educacional como instrumento pedagógico no desenvolvimento escolar do ensino fundamental da rede pública

2024-01-01T00:00:00Z

Título: Análise da robótica educacional como instrumento pedagógico no desenvolvimento escolar do ensino fundamental da rede pública Abstact: The present research deals with the analysis of educational robotics as a pedagogical tool in the school development of 5th-grade students in the public school system of Santa Rita-MA. It concerns a study project on the combination of educational robotics and its contribution to Mathematical Logical thinking allied with technology in the early grades of elementary education. Its objectives are to compare traditional methods of teaching mathematics with active methodologies that use educational robotics; stimulate students' interest in the proposal; analyze the problem-solving ability of the presented problems; evaluate students' cognitive development focused on enhanced mathematics learning with the support of robotics kits, and identify which Computational Thinking skills (pattern recognition, decomposition, algorithms, and abstraction) are related to mathematical logic. The investigation has a practical and exploratory nature, with a qualitative and quantitative approach, of an applied nature, using procedures such as case studies and action research, through the conduct of classes, workshops, and the application of evaluative questionnaires in the initial and final phases of the research. Based on the results and findings, it was observed through the case study that educational robotics not only stimulates and interests children in mathematics but also significantly improves academic performance in that area of knowledge. However, it was not possible to effectively compare traditional methods of teaching mathematics with active methodologies that use educational robotics. Therefore, the research concludes that educational robotics, although it promotes various benefits as a practical teaching methodology, requires resources such as collaborative work, a multidisciplinary team, and adequate funding to have effective relevance