ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus
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Percorrer ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus por Objetivos de Desenvolvimento Sustentável (ODS) "07:Energias Renováveis e Acessíveis"
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- Data Engineering Roadmap for Implementing Business Intelligence in Higher EducationPublication . Sequeira, Romeu; Reis, Arsénio; Branco, Frederico; Alves, PauloThis article addresses the implementation of Business Intelligence (BI) systems in Higher Education Institutions (HEIs), focusing on developing an appropriate data architecture that meets the specificities and requirements of this sector. With the rapid advance of information technologies, HEIs face the growing challenge of managing a considerable volume of data, making it essential to implement BI systems that support informed and efficient decision-making. Using the Design Science Research methodology, this study proposes a BI architecture model that aligns technologies with HEIs' academic and administrative needs and facilitates their integration and ongoing maintenance. The model is designed to be flexible and scalable, allowing adaptations as institutional needs evolve. The article describes the architecture development process, from initial planning to implementation, and discusses how this framework can significantly improve data management and the quality of decision-making processes in educational institutions. The research offers practical and theoretical insights for academics and managers seeking to optimize the use of BI in educational contexts.
- End-of-life waste from photovoltaic systems: current practices, challenges, and opportunitiesPublication . Silva, Margarete Heleno da; Boloy, Ronney; Ferreira, Ângela P.The rapid growth of photovoltaic (PV) solar energy has introduced significant challenges related to the management of End-of-Life (EoL) panel waste. Projections estimate that by 2050, global PV waste could exceed 60 million tons. The absence of specific regulatory frameworks and the limited development of recycling infrastructure further aggravate the situation, underscoring the urgent need for sustainable waste management practices and the integration of circular economy principles within the solar industry. This paper discusses existing regulatory policies across various countries, along with recent technological advances in recycling processes. Furthermore, it emphasizes the importance of implementing a circular economy-based waste management model to enable the recovery of valuable materials, reduce reliance on virgin raw materials, and mitigate the environmental impact of the PV sector.
- A low power photovoltaic water pumping system based on a DC-DC step-up converter and standard frequency convertersPublication . Fey, Alice Nogueira; Leite, Vicente; Romaneli, Eduardo Felix RibeiroPhotovoltaic Water Pumping Systems (PVWPS) are a solution to supply water to populations living in arid and remote regions. One problem is that these systems are usually sold as closed kits and with solar energy dedicated equipment. This situation makes it difficult to replace damaged equipment for others that would be available on the market. Also, solar dedicated equipment are more expensive than the general-purpose ones. Another issue is the oversizing of the photovoltaic string in terms of power, when installing low power PVWPS that employ conventional AC water pumps. The oversizing occurs in order to achieve the voltage requirements of these pumps (rated with less than 1kW). In the interest of solving these problems, this work proposes a solution for a low power PVWPS. The proposed system employs a maximum of 4 photovoltaic modules; a DC-DC step-up converter; a standard frequency converter and an 1HP AC water pump. It was designed and tested a 750W DC-DC step-up converter with a static gain of 3.44 for composing the proposed solution. The whole set of the low power PVWPS was tested in a laboratory environment and showed a full day of operation. The present work was held in cooperation with the company VALLED.
- A proposal for a mobile application pipeline for posture-based muscle rehabilitation at homePublication . Lopes, Júlio Castro; Van-Deste, Isaac; Lopes, Rui PedroThis work outlines the development process of a rehabilitation system from smartphones to provide remote monitoring and real-time feedback assistance in muscle rehabilitation exercises. The system leverages advanced machine learning techniques, such as pose estimation techniques and anomaly detection models, in tracking users’ movements and assessing the performance of exercises. The system is designed to identify deviations from correct movement patterns and provide corrective feedback, allowing patients to engage in home-based rehabilitation withoutspecialized hardware. This paper details the system design, data acquisition methods, and the machine learning models used to detect incorrect movements. The outlined pipeline is intended to facilitate the creation of an affordable, cost-effective, and scalable rehabilitation platform for strengthening patient adherence to exercises and optimizing recovery outcomes.
- Smart carving of hard-shell fruit with CO2 laserPublication . Farrero, Bernardo; Babo, Pedro; Ribeiro, Luís FrölénThe application of CO₂ laser technology in food processing has gained significant attention due to its precision and adaptability. This study presents an intelligent system for carving hard-shell fruits, specifically acorns, to facilitate their shelling process. The proposed approach integrates real-time control and monitoring technologies to enhance precision and efficiency. A key challenge in acorn processing is the size and shell thickness variability, which complicates mechanical carving. The developed system employs a CO₂ laser to create precise incisions, ensuring optimal shell cracking during dehydration while preventing kernel damage. Experimental tests conducted at the Polytechnic Institute of Bragança identified optimal parameters—6 seconds of laser exposure at 40𝑊 power—for consistent and controlled carving. A thoughtful analysis system was implemented to assess pre- and post-carving conditions, enabling real-time adjustments to laser settings. This self-optimizing process improves the efficiency of the shell carving while reducing waste. The results demonstrate the feasibility of automated acorn carving using CO₂ laser technology, offering a scalable solution for industrial food processing with continuous control of the shell incision. Future research could explore advanced automation techniques to enhance system robustness and adaptability to different fruit types.