https://repositorio.ifpe.edu.br/xmlui/handle/123456789/436 2026-06-23T03:50:32Z 2026-06-23T03:50:32Z https://repositorio.ifpe.edu.br/xmlui/handle/123456789/2213 2026-06-17T06:01:30Z 2026-03-12T00:00:00Z

A evasão na Educação de jovens e adultos da escola Manoel Gonçalves da Silva : fatores e propostas de enfrentamento á luz do território e da educação popular School dropout in Youth and Adult Education (EJA) is one of the main challenges faced by public educational institutions, especially in contexts marked by social and territorial inequalities. In this scenario, this study aims to analyze the factors that influence the interruption of the school trajectory in EJA at Manoel Gonçalves da Silva School, located in the municipality of Paulista, Metropolitan Region of Recife, considering territorial, social, and pedagogical dimensions, in light of Popular Education. This is qualitative, exploratory, and explanatory research, carried out through semi-structured interviews with a teacher and a representative of the school management, in addition to the analysis of students' perceptions. The results indicate that work, family responsibilities, socioeconomic conditions, and territorial vulnerabilities constitute central factors in school dropout. The need to strengthen welcoming practices, curricular flexibility, and greater articulation between school and community was also highlighted. It is concluded that tackling dropout in Youth and Adult Education requires integrated public policies, a contextualized curriculum, and pedagogical practices grounded in Popular Education, capable of recognizing students' knowledge and understanding school permanence as a dimension of the right to education and social justice.

2026-03-12T00:00:00Z https://repositorio.ifpe.edu.br/xmlui/handle/123456789/2208 2026-06-09T06:01:41Z 2026-05-06T00:00:00Z

Captação de água pluvial para reuso em uma fábrica na cidade de Goiana-PE This study aims to implement a rainwater harvesting system via a roof in a factory located in the municipality of Goiana/PE, evaluating its environmental and economic impacts. Specific objectives include: conceptualizing rainwater reuse and its relevance to sustainability; identifying the construction processes necessary for harvesting; and installing a suitable storage reservoir. The methodology adopted is applied, with a qualitative and quantitative approach, based on a literature review and case study. Technical, environmental, and socioeconomic aspects related to the implementation of the harvesting system were analyzed. The procedure included evaluating the building's roof structure, sizing gutters and downpipes, installing a reservoir for rainwater storage, and proposing a treatment method for non-potable uses. An estimate of the reduction in water consumption from the public supply system and the financial savings resulting from reuse was also carried out. The results indicate that the implementation of the rainwater harvesting system is technically feasible and environmentally beneficial. Significant potential for reducing the demand for potable water in activities such as irrigation was observed, contributing to a decrease in the overload on the public water supply system. Furthermore, it was found that rainwater harvesting helps reduce surface runoff, minimizing the risk of flooding and impacts on urban drainage systems. It is concluded that the implementation of a rainwater harvesting system at the factory in Goiana/PE represents a sustainable and efficient alternative for water resource management, promoting environmental, economic, and social benefits. The adoption of this practice contributes to the preservation of natural resources, reduction of operational costs, and strengthening of actions aimed at sustainability in the urban and industrial context.

2026-05-06T00:00:00Z https://repositorio.ifpe.edu.br/xmlui/handle/123456789/2206 2026-06-03T06:00:54Z 2024-09-30T00:00:00Z

Design computacional e impressão de eletrodos porosos para confecção de gerador de hidrogênio do tipo Membraneless The combination of computational design and additive manufacturing is transforming the production of energy devices, such as membraneless hydrogen generators. Computational design involves the use of simulations and digital modeling to optimize the characteristics of porous electrodes. Through 3D modeling, it is possible to predict and adjust the structure of the electrodes, enhancing their efficiency. This process includes the optimization of porosity, geometry, and flow channel distribution, which are essential for improving the electrochemical reaction and electrode conductivity. Using 3D printers and specific materials, it is possible to create electrodes with high surface area and a controlled porous network. The main goal of this thesis was to develop topological structures based on TPMS-type functions to generate porous electrodes for the assembly of membraneless electrolyzers. By combining computational modeling, 3D printing, and conductive composite preparation, it was possible to fabricate electrodes with Schwarz P-type geometries, exhibiting good electrical properties. Furthermore, through an electrochemical electroplating process, the electrode was coated with a nickel layer over copper (Ni@Cu), which showed better hydrogen generation results from alkaline water electrolysis compared to the uncoated electrode. In conclusion, the process proved to be promising for the fabrication of electrodes for membraneless systems.

2024-09-30T00:00:00Z https://repositorio.ifpe.edu.br/xmlui/handle/123456789/2204 2026-06-01T06:02:47Z 2026-03-10T00:00:00Z

Uso da análise de dados e Machine Learning aplicado ao processo de separação e expedição em home centers: estudo de caso The order picking and customer service process in the expedition area of home centers presents high operational variability, resulting in delays in meeting internal service targets and directly affecting customer experience. Factors such as total load weight, number of items, delivery type, and operator productivity contribute to fluctuations in separation and service times, making it difficult to efficiently control operational flow. In this context, it becomes necessary to quantitatively understand the factors that influence delays and propose data-driven improvements. This Final Term Paper aims to analyze the separation and service process in the expedition area, identifying operational bottlenecks and proposing solutions through statistical analysis and Artificial Intelligence techniques. A realistically structured fictitious database containing 3,000 simulated records was developed according to the company’s operational rules. Descriptive statistical analyses were conducted to identify patterns, variability, and compliance with internal service targets. Additionally, supervised classification models, such as Decision Tree and Random Forest, were applied to predict service delays. The results showed that approximately 40% of orders exceeded the established service-time targets. Feature importance analysis indicated that total weight, operator productivity, and number of items are the main factors associated with delays. The study concludes that integrating process engineering, statistics, and Artificial Intelligence is an effective approach to support logistics optimization and improve operational decision-making.

2026-03-10T00:00:00Z