Browsing by Author "Fernandes, Florbela P."
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- 5th Symposium of Applied Science for Young Researchers: Book of AbstractsPublication . Fernandes, Florbela P.; Torres, Helena; Pinto, Pedro; Malta, SilvestreThese are the abstracts of the 5th Symposium of Applied Science for Young Researchers – SASYR. This scientific event welcomed scientific works on the topics covered by the following four research centers: – CeDRI (from IPB, Instituto Politécnico de Bragança) – 2Ai (from IPCA, Instituto Politécnico do Cávado e do Ave) – GECAD (from IPP, Instituto Politécnico do Porto) – ADiT-lab (from IPVC, Instituto Politécnico de Viana do Castelo) The primary objective of SASYR 2025 is to create a welcoming and relaxed environment for young researchers to present their work, discuss recent findings, and explore new ideas. In this way, this event offers an opportunity for the CeDRI, 2Ai, GECAD, and ADiT-lab research communities to leverage synergies and promote collaborations, thereby enhancing the quality of their research. The SASYR 2025 took place at Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal, on 2 July 2025.
- 5th Symposium of Applied Science for Young Researchers: ProceedingsPublication . Fernandes, Florbela P.; Torres, Helena; Pinto, Pedro; Malta, SilvestreThis document presents the proceedings of the 5th Symposium of Applied Science for Young Researchers – SASYR 2025. This scientific event welcomed scientific works on the topics covered by the following four research centers: – CeDRI (from IPB, Instituto Politécnico de Bragança) – 2Ai (from IPCA, Instituto Politécnico do Cávado e do Ave) – GECAD (from IPP, Instituto Politécnico do Porto) – ADiT-lab (from IPVC, Instituto Politécnico de Viana do Castelo) The primary objective of SASYR 2025 is to create a welcoming and relaxed environment for young researchers to present their work, discuss recent findings, and explore new ideas. In this way, this event offers an opportunity for the CeDRI, 2Ai, GECAD, and ADiT-lab research communities to leverage synergies and promote collaborations, thereby enhancing the quality of their research. The SASYR 2025 took place at Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal, on 2 July 2025.
- An improved multi-threaded implementation of the MCSFilter optimization algorithmPublication . Monteiro, Luis; Rufino, José; Romanenko, Andrey; Fernandes, Florbela P.The Multistart Coordinate Search Filter (MCSFilter) is an optimization method suitable to find all minimizers of a non convex problem, with any type of constraints. When used in industrial contexts, execution time may be critical, in order to keep production processes within safe and expected bounds. One way to increase performance is through parallelization. In this work, a second parallel version of the MCSFilter method is presented, aiming at faster execution times than a previous parallel implementation. The new solver was tested with a set of fourteen problems, with different characteristics and behavior. The results obtained represent an improvement of the execution times over all previous MCSFilter implementations (sequential and parallel). They also allowed to identify bottlenecks to be lifted in future parallel versions.
- An improved multi-threaded implementation of the MCSFilter optimization algorithmPublication . Monteiro, Luís; Rufino, José; Romanenko, Andrey; Fernandes, Florbela P.The Multistart Coordinate Search Filter (MCSFilter) is an optimization method suitable to find all minimizers of a non convex problem, with any type of constraints. When used in industrial contexts, execution time may be critical, in order to keep production processes within safe and expected bounds. One way to increase performance is through parallelization. In this work, a second parallel version of the MCSFilter method is presented, aiming at faster execution times than a previous parallel implementation. The new solver was tested with a set of fourteen problems, with different characteristics and behavior. The results obtained represent an improvement of the execution times over all previous MCSFilter implementations (sequential and parallel). They also allowed to identify bottlenecks to be lifted in future parallel versions.
- Analysis of new job profiles for the factory of the futurePublication . Geraldes, Carla A.S.; Sakurada, Lucas; Fernandes, Florbela P.; Pontes, Joseane; Leitão, PauloIndustry 4.0 is being promoting the digitisation of manufacturing sector towards smart products, machines, processes and factories. The adoption of disruptive technologies associated to this industrial revolution will lead to re-shaping the manufacturing environment, decreasing the low-skilled activities and increasing the high-skill activities, being expected to grow the complexity and number of new job profiles. In this context, this paper aims to analyse the literature and recruitment repositories to identify the new job profiles in the factory of the future (FoF) across six industrial technological sectors, namely Collaborative Robotics (Cobots), Additive Manufacturing (AM), Mechatronics and Machine Automation (MMA), Data Analytics (DA), Cybersecurity (CS) and Human-Machine Interface (HMI). The performed analysis allowed to compile a catalogue of 100 new job profiles that were characterised and analysed in terms of technical and soft skills, type and level of profile, as well as the frequency demand.
- Analysis of the workforce Skills for the factories of the futurePublication . Leitão, Paulo; Geraldes, Carla A.S.; Fernandes, Florbela P.; Badikyan, HasmikIndustry 4.0 is promoting the digitisation of manufacturing sector towards smart and more efficient factories, seen worldwide as the fourth industrial revolution. However, its complete adoption strongly depends on the skills that existing workforce and future professionals can have in the different dimensions of this multidisciplinary vision, contributing to increase the digital maturity level of companies from the industrial sector. Additionally, new job profiles are emerging to face the implementation of these innovative approaches, which implies the need for the re-qualification and up-skilling of existing workforce, particularly focusing the digital skills. In this context, this paper analyses the gap and impact in the non-technical and technical skills required for the successful transition into digitisation, particularly across six manufacturing areas covering the collaborative robotics (cobots), additive manufacturing, mechatronics and machine automation, data analytics, cybersecurity and humanmachine interface.
- Analyzing the mathE platform through clustering algorithmsPublication . Azevedo, Beatriz Flamia; Amoura, Yahia; Rocha, Ana Maria A.C.; Fernandes, Florbela P.; Pacheco, Maria F.; Pereira, Ana I.University lecturers have been encouraged to adopt innovative methodologies and teaching tools in order to implement an interactive and appealing educational environment. The MathE platform was created with the main goal of providing students and teachers with a new perspective on mathematical teaching and learning in a dynamic and appealing way, relying on digital interactive technologies that enable customized study. The MathE platform has been online since 2019, having since been used by many students and professors around the world. However, the necessity for some improvements on the platform has been identified, in order to make it more interactive and able to meet the needs of students in a customized way. Based on previous studies, it is known that one of the urgent needs is the reorganization of the available resources into more than two levels (basic and advanced), as it currently is. Thus, this paper investigates, through the application of two clustering methodologies, the optimal number of levels of difficulty to reorganize the resources in the MathE platform. Hierarchical Clustering and three Bio-inspired Automatic Clustering Algorithms were applied to the database, which is composed of questions answered by the students on the platform. The results of both methodologies point out six as the optimal number of levels of difficulty to group the resources offered by the platform.
- Angle assessment for upper limb rehabilitation: a novel light detection and ranging (LiDAR)-based approachPublication . Klein, Luan C.; Chellal, Arezki Abderrahim; Grilo, Vinicius F.S.B.; Braun, João; Gonçalves, José; Pacheco, Maria F.; Fernandes, Florbela P.; Monteiro, Fernando C.; Lima, JoséThe accurate measurement of joint angles during patient rehabilitation is crucial for informed decision making by physiotherapists. Presently, visual inspection stands as one of the prevalent methods for angle assessment. Although it could appear the most straightforward way to assess the angles, it presents a problem related to the high susceptibility to error in the angle estimation. In light of this, this study investigates the possibility of using a new approach to angle calculation: a hybrid approach leveraging both a camera and LiDAR technology, merging image data with point cloud information. This method employs AI-driven techniques to identify the individual and their joints, utilizing the cloud-point data for angle computation. The tests, considering different exercises with different perspectives and distances, showed a slight improvement compared to using YOLO v7 for angle calculation. However, the improvement comes with higher system costs when compared with other image-based approaches due to the necessity of equipment such as LiDAR and a loss of fluidity during the exercise performance. Therefore, the cost-benefit of the proposed approach could be questionable. Nonetheless, the results hint at a promising field for further exploration and the potential viability of using the proposed methodology.
- Application of MCSFilter to estimate stiction control valve parametersPublication . Amador, Andreia; Fernandes, Florbela P.; Santos, Lino O.; Romanenko, AndreyThe mitigation of the stiction phenomena in control valves is of paramount importance for efficient industrial plant operation. Mathematical models of sticky valves are typically discontinuous and highly nonlinear. A derivative-free optimization method is applied in the context of parameter estimation in order to determine the stiction parameters of a control valve. The method successfully determines the correct parameter set and compares favorably with a previous case study of this problem that used smooth function.
- Application of mixed integer nonlinear programming for system identificationPublication . Fernandes, Natércia C.P.; Fernandes, Florbela P.; Romanenko, AndreyThis work describes a method of deadtime approximation in dynamic systems, particularly in the context of nonlinear model predictive control based on mechanistic models where the differentiability of the equations must be ensured. The resulting system identification system is solved using the BBMCSFilter (Branch and Bound based on a Multistart Coordinate Search Filter) global optimization algorithm to determine the order and the parameters of the resulting model, taking into account not only the model-plant mismatch but also the model complexity and the resulting computation time. The application of the method is illustrated with a simulated example of a chemical process unit. © 2020 American Institute of Physics Inc.. All rights reserved.