FRANCISCO ALEXANDRE ANDRADE DE SOUZA

Pós-doutorado

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Áreas de atuação

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Participação em eventos

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Orientou

Produções bibliográficas

• Jorge Sampaio ; Souza, Francisco ; Jérôme Mendes ; Cristiano Premebida . Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability. International Journal of Fuzzy Systems , v. 25, p. 2568-2589, 2023.

• Souza, Francisco ; PREMEBIDA, CRISTIANO ; Araújo, Rui . High-order conditional mutual information maximization for dealing with high-order dependencies in feature selection. PATTERN RECOGNITION , v. 131, p. 108895, 2022.

• Souza, Francisco ; OFFERMANS, TIM ; BARENDSE, RUUD ; POSTMA, GEERT ; JANSEN, JEROEN . Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling. IEEE Transactions on Industrial Informatics , v. 1, p. 1-12, 2022.

• DARGAM, FATIMA C.C. ; Perz, Erhard ; Bergmann, Stefan ; Rodionova, Ekaterina ; Sousa, Pedro ; SOUZA, FRANCISCO ALEXANDRE A. ; Matias, Tiago ; Ortiz, Juan Manuel ; Esteve-Nuñez, Abraham ; Rodenas, Pau ; Bonachela, Patricia Zamora . Operational Decision-Making on Desalination Plants. INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY , v. 15, p. 1-20, 2022.

• Souza, Francisco ; Mendes, Jérôme ; Araújo, Rui . A Regularized Mixture of Linear Experts for Quality Prediction in Multimode and Multiphase Industrial Processes. Applied Sciences-Basel , v. 11, p. 2040, 2021.

• DANISHVAR, MORAD ; DANISHVAR, SEBELAN ; Souza, Francisco ; Sousa, Pedro ; MOUSAVI, ALIREZA . Coarse Return Prediction in a Cement Industry?s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model. Applied Sciences-Basel , v. 11, p. 1361, 2021.

• Mendes, Jérôme ; MAIA, RICARDO ; Araújo, Rui ; SOUZA, FRANCISCO A. A. . Self-Evolving Fuzzy Controller Composed of Univariate Fuzzy Control Rules. Applied Sciences-Basel , v. 10, p. 5836, 2020.

• Mendes, Jérôme ; Souza, Francisco ; Araújo, Rui ; RASTEGAR, SAEID . Neo-fuzzy neuron learning using backfitting algorithm. NEURAL COMPUTING & APPLICATIONS , v. 31, p. 3609-3618, 2019.

• BELCHIOR, CARLOS ALBERTO C. ; ARAÚJO, RUI ALEXANDRE M. ; SOUZA, FRANCISCO ALEXANDRE A. ; LANDECK, JORGE AFONSO C. . Sensor-fault tolerance in a wastewater treatment plant by means of ANFIS-based soft sensor and control reconfiguration. NEURAL COMPUTING & APPLICATIONS , v. 30, p. 3265-3276, 2017.

• SOUZA, FRANCISCO ALEXANDRE A. ; NETO, TOBIAS R. ; MAGALHAES, FRANCISCO RODRIGO P. ; SILVA, FELIPE BANDEIRA ; PONTES, RICARDO SILVA . Predicting the Grounding Topology Based on Grounding Impedance and the Pattern Recognition Framework: A case study on one to four ground rods in straight line. IEEE TRANSACTIONS ON POWER DELIVERY , v. 32, p. 1-1, 2016.

• Matias, Tiago ; Souza, Francisco ; Araújo, Rui ; Gonçalves, Nuno ; BARRETO, JOÃO P. . On-line sequential extreme learning machine based on recursive partial least squares. Journal of Process Control , v. 27, p. 15-21, 2015.

• GOMES, LEONALDO SILVA ; SOUZA, FRANCISCO ALEXANDRE A. ; PONTES, RICARDO SILVA THÉ ; FERNANDES NETO, TOBIAS R. ; ARAÚJO, RUI ALEXANDRE M. . Coagulant Dosage Determination in a Water Treatment Plant Using Dynamic Neural Network Models. International Journal on Computational Intelligence and Applications , v. 14, p. 1550013, 2015.

• SOUZA, FRANCISCO A.A. ; Araújo, Rui . Review of Soft Sensors Methods for Regression Applications. Chemometrics and Intelligent Laboratory Systems (Print) , v. 152, p. 69-79, 2015.

• CASTRO, T. N. ; Francisco Souza ; ALVES, J. M. B. ; PONTES, R. S. T. ; REIS, L. L. N. ; Sérgio Daher . Neo-fuzzy neuron model for seasonal rainfall forecast: A case study of Ceara's eight homogenous regions. Journal of Intelligent & Fuzzy Systems , v. 25, p. 389-394, 2013.

• Mendes, Jérôme ; Araújo, Rui ; Souza, Francisco . Adaptive fuzzy identification and predictive control for industrial processes. Expert Systems with Applications , v. 40, p. 6964-6975, 2013.

• SOUZA, FRANCISCO A.A. ; Araújo, Rui ; Matias, Tiago ; Mendes, Jérôme . A multilayer-perceptron based method for variable selection in soft sensor design. Journal of Process Control , v. 23, p. 1371-1378, 2013.

• Matias, Tiago ; Souza, Francisco ; Araújo, Rui ; ANTUNES, CARLOS HENGGELER . Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine. Neurocomputing (Amsterdam) , v. 129, p. 428-436, 2013.

• SOUZA, FRANCISCO A.A. ; Araújo, Rui . Mixture of Partial Least Squares Experts and Application in Prediction Settings with Multiple Operating Modes. Chemometrics and Intelligent Laboratory Systems (Print) , v. 130, p. 192-202, 2013.

• Souza, Francisco ; Araujo, Rui . Online Mixture of Univariate Linear Regression Models for Adaptive Soft Sensors. IEEE Transactions on Industrial Informatics , v. PP, p. 1-1, 2013.

• Mendes, Jérôme ; Souza, Francisco ; Araújo, Rui ; Gonçalves, Nuno . Genetic fuzzy system for data-driven soft sensors design. Applied Soft Computing (Print) , v. 12, p. 3237-3245, 2012.

• Perz, Erhard ; Dargam, Fatima ; Bergmann, Stefan ; Rodionova, Ekaterina ; Sousa, Pedro ; SOUZA, FRANCISCO ALEXANDRE A. ; Matias, Tiago . Simulation and control systems in MIDES. Microbial Desalination Cells for Low Energy Drinking Water. 1ed.: IWA Publishing, 2021, v. , p. 137-174.

• Dargam, Fatima ; Perz, Erhard ; Bergmann, Stefan ; Rodionova, Ekaterina ; Sousa, Pedro ; SOUZA, FRANCISCO ALEXANDRE A. ; Matias, Tiago ; Ortiz, Juan Manuel ; Esteve-Nuñez, Abraham ; Rodenas, Pau ; Bonachela, Patricia Zamora . Supporting Operational Decisions on Desalination Plants from Process Modelling and Simulation to Monitoring and Automated Control with Machine Learning. Lecture Notes in Business Information Processing. 5ed.: Springer International Publishing, 2020, v. , p. 150-164.

• PREMEBIDA, CRISTIANO ; SOUZA, FRANCISCO A. A. ; FARIA, DIEGO R. . Dynamic Bayesian Network for Time-Dependent Classification Problems in Robotics. Bayesian Inference. 1ed.: InTech, 2017, v. , p. 299-310.

• ALVES, JORGE ; Sousa, Pedro ; MATOS, BÁRBARA ; Mendes, Jérôme ; Souza, Francisco ; Matias, Tiago . Modular Cyber-Physical System for Smart Industry: a case study on energy load disaggregation. In: 2023 International Conference on Control, Automation and Diagnosis (ICCAD), 2023, Rome. 2023 International Conference on Control, Automation and Diagnosis (ICCAD), 2023. p. 1.

• LIMA, ANDRE ABREU DE M. ; SOUZA, FRANCISCO ALEXANDRE A. ; CAMPELO MORAIS, ERNANDE E. ; HONORIO, DALTON DE A. ; BARRETO, LUIZ HENRIQUE S. C. . Proof of concept of Fault Detection and Identification Framework applied in Power Converter based on Digital Twins. In: 2022 Workshop on Communication Networks and Power Systems (WCNPS), 2022, Fortaleza. 2022 Workshop on Communication Networks and Power Systems (WCNPS), 2022. p. 1.

• MENDES, JEROME ; SOUZA, FRANCISCO A. A. ; MAIA, RICARDO ; Araujo, Rui . Iterative Learning of Multiple Univariate Zero-Order T-S Fuzzy Systems. In: IECON 2019 45th Annual Conference of the IEEE Industrial Electronics Society, 2019, Lisbon. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 2019. p. 3803.

• Souza, Francisco ; Araujo, Rui . Mixture of Elastic Net Experts and its Application to a Polymerization Batch Process. In: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), 2018, Porto. 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), 2018. p. 939.

• FERREIRA, VASCO ; SOUZA, FRANCISCO A. A. ; Araujo, Rui . Semi-supervised soft sensor and feature ranking based on co-regularised least squares regression applied to a polymerization batch process. In: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), 2017, Emden. 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), 2017. p. 257.

• MENDES, JEROME ; Souza, Francisco ; Araujo, Rui . Online evolving fuzzy control design: An application to a CSTR plant. In: 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), 2017, Emden. 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), 2017. p. 218.

• GOMES, LEONALDO DA SILVA ; Souza, Francisco ; MENEZES, THIAGO ; PONTES, RICARDO SILVA THÉ ; ALMEIDA, OTACÍLIO DA MOTA . Modelo Neural NARX Aplicado à Inferência Dos Sinais De Controle De Dosagem De Coagulantes Principal E Auxiliar No Processo De Tratamento De Água Por Filtração Direta. In: 10. Congresso Brasileiro de Inteligência Computacional, 2016, Fortaleza. Anais do 10. Congresso Brasileiro de Inteligência Computacional. p. 1.

• PREMEBIDA, CRISTIANO ; FARIA, DIEGO R. ; Souza, Francisco A. ; NUNES, URBANO . Applying probabilistic Mixture Models to semantic place classification in mobile robotics. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015, Hamburg. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). p. 4265.

• Cícero M. T. Cruz ; PONTES, R. S. T. ; FERNANDES NETO, T. R. ; Souza, F. A. A ; SILVA, F. B. ; CASTRO, J. A. . Avaliação de Sistemas de Aterramento Utilizando Tensões Impulsivas. In: CITENEL, 2015, Costa do Sauípe. CITENEL'15, 2015.

• SOUZA, FRANCISCO A.A. ; FERNANDES NETO, T. R. ; SILVA, F. B. ; RODRIGUES, E. M. ; PONTES, R. S. T. . Exploiting the impulse response of grounding systems for automatic classification of grounding topologies. In: nternational Conference on Grounding and Earthing & 6th International Conference on Lightning Physics and Effects, 2014, Manaus. nternational Conference on Grounding and Earthing & 6th International Conference on Lightning Physics and Effects, 2014.

• Tiago Matias ; Francisco Souza ; Rui Araújo ; Saeid Rastegar ; Jérôme Mendes . Adaptive identification and predictive control using an improved on-line sequential extreme learning machine. In: Annual Conference of the IEEE Industrial Electronics Society, 2014, Dallas, TX. 40th Annual Conference of the IEEE Industrial Electronics Society, 2014.

• Matias, Tiago ; GABRIEL, DULCE ; Souza, Francisco ; Araujo, Rui ; PEREIRA, J. COSTA . Fault detection and replacement of a temperature sensor in a cement rotary kiln. In: 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA), 2013, Cagliari. 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA). p. 1.

• Souza, Francisco ; Araujo, Rui . An online variable selection method using recursive least squares. In: 2012 IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA 2012), 2012, Krakow. Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012), 2012. p. 1.

• MENDES, JEROME ; PINTO, SAMUEL ; Araujo, Rui ; Souza, Francisco . Evolutionary fuzzy models for nonlinear identification. In: 2012 IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA 2012), 2012, Krakow. Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012), 2012. p. 1.

• Souza, Francisco ; Matias, Tiago ; Araujo, Rui . Co-evolutionary genetic Multilayer Perceptron for feature selection and model design. In: Factory Automation (ETFA 2011), 2011, Toulouse. ETFA2011.

• Soares, Symone ; Araujo, Rui ; Sousa, Pedro ; Souza, Francisco . Design and application of Soft Sensor using Ensemble Methods. In: Factory Automation (ETFA 2011), 2011, Toulouse. ETFA2011.

• de Castro, Thiago N. ; Souza, Francisco ; Alves, Jose M. B. ; Pontes, Ricardo S. T. ; Firmino, Mosefran B. M. ; de Pereira, Thiago M. . Seasonal rainfall forecast using a Neo-Fuzzy Neuron Model. In: 2011 9th IEEE International Conference on Industrial Informatics (INDIN), 2011, Lisbon. 2011 9th IEEE International Conference on Industrial Informatics.

• Souza, Francisco ; Araujo, Rui . Variable and time-lag selection using empirical data. In: Factory Automation (ETFA 2011), 2011, Toulouse. ETFA2011.

• Francisco Souza ; Rui Araújo . Variable Selection Based on Mutual Information for Soft Sensors Applications. In: 9th Portuguese Conference on Automatic Control, Controlo'2010, 2010, Coimbra. Controlo'2010, 2010.

• Jérôme Mendes ; Rui Araújo ; Francisco Souza . Adaptive Fuzzy Generalized Predictive Control Based on Discrete-Time T-S Fuzzy Model. In: IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 2010, Bilbao. ETFA-2010, 2010.

• Francisco Souza ; Pedro Santos ; Rui Araújo . Variable and delay selection using neural networks and mutual information for data-driven soft sensors. In: IEEE Conference on Emerging Technologies and Factory Automation (ETFA), 2010, Bilbao. ETFA-2010, 2010.

• Francisco Souza ; BELCHIOR, C. A. C ; PONTES, R. S. T. ; ALBERTO JUNIOR, C. . Low Cost Remote Automatic Monitoring System of a Wastewater Treatment Plant. In: Sixth International Conference on Remote Engineering and Virtual Instrumentation, 2009, Bridgeport, CT, USA. REV - Remote Engineering and Virtual Instrumentation, 2009.

• René P. Torrico-Bascopé ; Grover V. Torrico-Bascopé ; Carlos G. C. Branco ; Ferreira, D. L. ; Francisco Souza . Analysis and Proposal of an Isolated DC/AC System Using Three-State Switching Cell. In: Brazilian Power Electronics Conference, 2009, Bonito-Ms. The 10th Brazilian Power Electronics Conference, 2009.

• René P. Torrico-Bascopé ; Carlos G. C. Branco ; Grover V. Torrico-Bascopé ; Cícero M. T. Cruz ; Francisco Souza ; Luiz H. C. Barreto . A new isolated DC-DC boost converter using three-state switching cell. In: Twenty Third Annual IEEE Applied Power Electronics Conference and Exposition, 2008, Austin, TX. Proccedings of Twenty Third Annual IEEE Applied Power Electronics Conference and Exposition, 2008. v. 1. p. 607-613.

• Souza, Francisco ; OFFERMANS, TIM ; JANSEN, JEROEN . Batch Endpoint Prediction using Local Mixture of Batch Time Experts. In: 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2022, Rome. 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2022. p. 613.

• Francisco Souza . Sistema de Monitoramento Automatico aplicado a uma Estação de Tratamento de Efluentes. Parte 2. In: Encontro de Iniciação Cientifica, 2007, Fortaleza. Universidade Federal do Ceará, 2007.

• Francisco Souza ; MAIA, E. R. S Q. ; INNECCO, H. R. . Experimento Prático de Controle Convencional Aplicado a Graduação. In: Encontro de Iniciação Cientifica, 2007, Fortaleza. Universidade Federal do Ceará, 2007.

• CHAVES, A. V. ; Francisco Souza . Sistema de Monitoramento Automatico para uma Estação de Tratamento de Efluentes. Parte 1.. In: Encontro de Iniciação Cientifica, 2006, Fortaleza. Universidade Federal do Ceará, 2006.

• Francisco Alexandre A. Souza . Contextual Information for Process Optimization: on the road to Industry 5.0. 2021. (Apresentação de Trabalho/Conferência ou palestra).

Outras produções

Projetos de pesquisa

• 2020 - Atual

  GRIMES: Green Production via Model-based Reasoning, Descrição: Production units at semiconductor manufacturer Nexperia require extensive cooling with air conditioning and water cooling. Better alignment of production steps and maintenance may greatly reduce energy consumption per product. This use case towards Green IT aims to understand the intricate interplay between the key production and sustainability features and develops predictive optimization approaches that minimize energy consumption while keeping the productivity high.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Nils Jansen - Integrante / Jeroen Jansen - Coordenador.

• 2020 - Atual

  AI REGIO - Regions and DIHs alliance for AI-driven digital transformation of European Manufacturing SMEs, Descrição: The AI REGIO project aims at filling 3 major gaps currently preventing AI-driven DIHs from implementing fully effective digital transformation pathways for their Manufacturing SMEs: at policy level the Regional vs. EU gap; at technological level the Digital Manufacturing vs. Innovation Collaboration Platform gap; at business level the Innovative AI (Industry 5.0) vs Industry 4.0 gap. POLICY. Regional smart specialization strategies for Efficient Sustainable Manufacturing and Digital Transformation (VANGUARD initiative for Industrial Modcernisation) are so far insufficiently coordinated and integrated at cross-regional and pan-EU level. SME-driven >AI innovations cannot scale up to become pan-EU accessible in global marketplaces as well as SME-driven experiments remain trapped into a too local dimension without achieving a large scale dimension. Regional vs. EU Gap. TECHNOLOGY. Digital Manufacturing Platforms DMP and Digital Innovation Hubs DIH play a fundamental role in the implementation of the Digital Single Market and Digitsing European Industry directives to SMEs, but so far such initiatives, communities, innovation actions are running in a quite independent if not siloed way, where very often Platform-related challenges are not of interest for DIHs and Socio-Business impact not of interest for DMP. DMP vs. DIH Gap. BUSINESS. Many Industrial Data Platforms based on IOT Data in Motion and Analytics Data at Rest have been recently developed to implement effective Industry 4.0 pilots (I4MS Phase III platforms). The AI revolution and the new relationship between autonomous systems and humans (Industry 5.0) has not been properly addressed in I4MS so far. AI I5.0 vs. I4.0 Gap. AI REGIO is following the 4 steps for VANGUARD innovation strategy (learn-connect-demonstrate-commercialize) by constantly aligning its methods with the AI DIH Network initiative and its assets with I4MS/DIH BEinCPPS Phase II and MIDIH / L4MS Phase III projects. AI REGIO: Industry 5.0 for SMEs. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Jeroen Jansen - Coordenador / Geert Postma - Integrante.

• 2018 - 2020

  CONNECTA-X - Interoperable System and Modules for Appliance Integration in Intelligent Home Ecosystems, Descrição: The CONNECTA-X project performed R&D on interoperable system and modules for integration of appliances in intelligent homes; including R&D on themonitoring integration of ?Internet of Things? (IoT) and Smart Meters and aims to develop a structure for the embedded market, a platform for communication, gathering, and treatment of data in the computational intelligence and monitoring device monitoring domains, that should support the development of new added-value products and services on the IoT and Smart Meters domain. Recently, we have been watching processing technology and connectivity integration with all those everyday things, making them a part of our lives. This reality, created the IoT concept, in which the number of smart objects have been dramatically increasing over time. However, there still exists some barriers that have a negative impact on IoT market spread and maturity. Essentially, they are related to interoperability, and/or high costs and longer design and production times. On another level, we have ?smart? concepts like smart grids, smart cities, smart homes, smart meters, etc., which dissemination has been increasing fast. More efficiency, interoperability between systems, connectivity have been achive thanks to the interconnection between those objects. This project was born from the combination of those two realities, IoT and Smart Meters, which are the project basis. CONNECTA-X aims to develop a communication, data collection and processing platform, for computational intelligence and device monitoring, which will support the development of new value-added products and services IoT related. From that platform, a solution for the embedded market, specifically smart home appliances, will be searched and developed. It will allow smart meters and Household appliances communication. This solution will be attractive for consumer appliance manufacturers, thanks to is cost-effective and time-to-market, and it will allow appliances faster conversion into smart appliances, and smart metering network compatible. Reference number: CONNECTA-X/2017/33354; Host institutions: University of Coimbra (UC); Critical Software, SA (leader partner); Start date: 2018/10/01; End date: 2020/09/30; Financing: co-financing by ?Portugal 2020? (PT2020), in the framework of the ?Competitiveness and Internationalization Operational Programme? (COMPETE 2020), and by the European Union through the European Regional Development Fund (ERDF); Note: principal investigator at UC.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / ARAÚJO, RUI ALEXANDRE M. - Coordenador.

• 2018 - Atual

  TOOLING4G - Advanced Tools for Smart Manufacturing, Descrição: The TOOLING4G project aims to make an important contribution to the moulds and plastics industry, enabling the partner companies to create the conditions to become competitive and to overcome global market challenges, by creating internally conditions for production flexibility. The project is structured in 7 large PPSs (Product, Process or Service), including hybrid manufacturing processes; intelligent tools/systems; efficient tools for multi-material products? manufacturing; multi-process tools; industry digitalization; sustainable ?zero defect? production chain; management and dissemination. The consortium consists of 21 mould-making and plastics companies and 10 entities of the research and innovation system, including higher education institutions and technology interface centres, that possess a set of complementary skills and human capital resources. Several innovations are expected to be developed in the project, mainly centred in materials, products and processes, and also in the endogenization of technologies and organizational paradigms in the context of the Industry 4.0 concept. The participation of the University of Coimbra (UC) in the ?PPS2 - Intelligent Tools/Systems? of TOOLING4G includes the development of a system of algorithms for communication in the mould-machine complex for real-time monitoring, prediction and control of parameters, variables, and defects in the injection process and in the mould-machine complex, in order to optimize the process and the moulded parts. In this participation, the UC is represented by the Intelligent Control research group of the ?Institute of Systems and Robotics - University of Coimbra? (ISR-UC). In this context, computational intelligence and intelligent control methodologies are investigated and developed for monitoring, prediction, and control of parameters, variables, and defects. Reference number: TOOLING4G/2016/24516; Host institutions: University of Coimbra (UC); CENTIMFE - Technological Center for Moulds, Special Tools and Plastics (overall management); Aníbal H. Abrantes - Industries of Moulds and Plastics, S.A. (leader); the project is a partnership among 30 entities, including 20 companies, and 10 non-corporate R&D institutions, higher education entities, and technological interface centers; Financing: co-financing by the ?Competitiveness and Internationalization Operational Programme? (COMPETE 2020), Lisbon Regional Operational Program 2014/2020 (LISBOA2020), Portugal 2020 (PT2020), and by the European Union through the European Regional Development Fund (ERDF);. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / ARAÚJO, RUI ALEXANDRE M. - Coordenador.

• 2018 - Atual

  IMPROVE - Nonlinear Control, Estimation and Fault-Detection Tools with Provably Guarantees for Mobile Robotic Systems, Descrição: The aim of this project is to develop system theoretical tools and algorithms in framework of mobile robotic systems that explicitly integrate in the conceptual formulation not only the desired main task but also other key objectives (e.g., economic, performance, robustness, safety, system observability properties, communication behavior and interaction with other systems, etc.) in the presence of challenging restrictions and unstructured environments. The emphasis will be placed on the design of nonlinear and optimization based control and estimation procedures that are provably accurate by construction for single and multiple robotic systems including fault-detection and isolation strategies in order to obtain high performance robotic systems capable of meeting the end-user requirements. To assure that the research is driven by high-impact application areas, the project will focus on the following case studies: - Shop floor logistics and manipulation: The aim is to study and contribute to the development of innovative manufacturing solutions with particular emphasis on logistics and robotic co-workers scenarios using mobile manipulators. Key research points include the development of robust and high performance torque control strategies for robotic manipulators, active and reliable perception algorithms, reactive planning, navigation and control systems to enable mobile robots to operate autonomously in unstructured environments with effective human-robot collaboration with safety guarantees. - Cooperation of air and marine autonomous robotic vehicles for ocean monitoring and sampling: The motivating scenario is the detection and tracking of some event/feature of particular interest in the ocean (e.g., oil spill pollution) where a network of heterogeneous robotic vehicles (air, surface, and underwater) that can interact autonomously with the environment and among themselves, works in cooperation to obtain measurements with adequate temporal and spatial resolutions. The same network can also adapt in real-time its behavior/geometrical configuration in response to environmental variables measured in-situ in order to improve performance and optimize the detection and measurement strategy. This proposal brings together experts from the areas mentioned above. The merit of this research program is that it targets fundamental research well motivated by applications. The theoretical solutions envisioned will be strongly rooted in research work done by the team. Obtaining formal proofs of robustness, stability, and performance of the control and estimation algorithms is a key objective. At practical level, one key objective is to demonstrate and integrate some of algorithms developed in the software tools for command and control of the robotic systems, simulate and test within hardware in the loop, and validate through field tests. Reference number: POCI-01-0145-FEDER-031823; Host institutions: Institute of Systems and Robotics - University of Coimbra (ISR-UC); Faculty of Engineering of the University of Porto (FEUP) (leader partner); Institute of Systems and Robotics - University of Porto (ISR-UP); Financing: co-financing by the Foundation for Science and Technology (FCT), the ?Competitiveness and Internationalization Operational Programme? (COMPETE 2020), Portugal 2020 (PT2020), and the European Union through the European Regional Development Fund (ERDF);. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / ARAÚJO, RUI ALEXANDRE M. - Coordenador.

• 2018 - Atual

  SIICEI - Intelligent System for Identification of Electrical Loads in Industrial Equipment, Descrição: The SIICEI project has the main goal of research and development of an electrical loads separation and identification system for industrial applications, and subsequent processing, for energy consumption and operation monitoring. The system to be developed shall allow the energy consumption profile identification of each electrically-powered equipment (charge), in real-time, using computational intelligence and signal processing methodologies, and using only the electrical energy signals only at the industrial installations energy input. So, with a reduced investment and quick installation it is possible to identify the energy consumption, measure equipment operation periods, and also, drive new applications of the gathered data. The paradigm shift that the consortium shall realize allows monitoring of several equipment performance metrics (consumption, operation period, durability, to name a few) as well as the quick and automatic equipment failure detection. The real implementation of the results of this project shall result in the increase of the energy and productivity efficiency of industrial units. In an early phase the technology shall be validated in small to medium sized industrial units, which, typically possess the bare minimum of technology in their production lines. Reference number: SIICEI/2017/33338; Host institutions: University of Coimbra (UC); OnControl Technologies, Lda (leader partner); Advanced Home, Lda; Start date: 2018/11/01; End date: 2020/10/31; Financing: co-financing by ?Portugal 2020? (PT2020), in the framework of the ?Centro Region Operational Programme? (CENTRO 2020), and by the European Union through the European Regional Development Fund (ERDF); Note: principal investigator at UC.. , Situação: Em andamento; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Jérôme Mendes - Integrante / Pedro Sousa - Integrante / Thiago M de Pereira - Integrante / ARAÚJO, RUI ALEXANDRE M. - Coordenador.

• 2017 - 2019

  SMITEn - Smart Meter Integrated Test Environment, Descrição: Smart-Grids are an integrated vision for the future of energy supply networks in response to the current challenges of environmental sustainability, reliability and quality of the European energy supply. These infrastructures integrate various heterogeneous elements that should be well interconnected and whose interoperability will become increasingly complex and critical for the security and world economy. Smart meters are the key instrument to implement these infrastructures and should be installed in nearly 80% of the European households by 2020. However, one of the great difficulties in the development of these complex systems is the ability to test them in an environment close to that where they operate, due to the cost and time needed to make tests in a real environment, as well as to the necessary interconnection between all components of such a system. The SMITEn project proposes R&D activities to develop an innovative solution for testing and validating smart meters, enabling a wide range of global organizations to implement and execute all the needed tests to fulfill technical requirements and validate the interoperability required by each country's government. The validation infrastructure should integrate a toolkit that should support all test scenarios. It provides real and emulated connectivity to suit different situations and enables easy replication of issues and verifiable fixes. Proposing a reliable and flexible solution to enable and help spread smart meters all over the world, SMITEn project may provide an effective response to the transition to a low carbon economy and an important contribution to an affordable, secure and sustainable energy. An important aspect in SMITEn are the R&D activities regarding the integration of simulators, and the design of closed loop smart metering simulators. Reference number: SMITEn/2016/023613; Host institutions: Institute of Systems and Robotics - University of Coimbra (ISR-UC); Critical Software, SA;. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Jérôme Mendes - Integrante / ARAÚJO, RUI ALEXANDRE M. - Coordenador.

• 2017 - 2019

  SHIP - Solar Heat For Industrial Processes, Descrição: O projeto SHIP tem como objetivo principal a demonstração de um sistema holístico de integração direta de tecnologias que funcionam com tecnologia solar térmica em processos industriais de média temperatura, testando e validando-o e, assim, garantir sua abordagem ao mercado. Este sistema foi estabelecido como uma solução inovadora, resultante de atividades anteriores de I&D dos parceiros do consórcio. Pretende-se, neste projeto, evidenciar, diante de um público especializado em situação real, as vantagens técnicas e económicas da solução que ainda não está totalmente validada. A sua implementação deve resultar em maior eficiência energética nas unidades industriais onde será instalado, resultando em faturas de energia reduzidas e, portanto, em melhor aceitação de tecnologias de solar térmico e outras soluções eco eficientes em geral, ainda muito dependentes da quantificação deste tipo de benefícios. Será dada atenção especial para resolver os problemas de integração do processo, normalmente o segundo obstáculo mais difícil de superar na mudança da energia fóssil para a solar. Código do projeto: POCI-01-0247-FEDER-017857. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Coordenador / Tiago Matias - Integrante / Pedro Sousa - Integrante.

• 2016 - 2020

  MIDES - Microbial Desalination for Low Energy Drinking Water, Descrição: Shortage of fresh water has become one of the major challenges for societies all over the world. Water desalination offers an opportunity to significantly increase the freshwater supply for drinking, industrial use and irrigation. All current desalination technologies require significant electrical or thermal energy, with today?s Reverse Osmosis (RO) desalination units consuming electric energy of at least 3 kWh/m3 ? in extensive tests about ten years ago, the Affordable Desalination Collaboration (ADC) in California measured 1.6 kWh/m3 for RO power consumption on the best commercially available membranes, and total plant energy about twice as high. To overcome thermodynamical limitations of RO, which point to 1.09 kwh/m3 for seawater at 50 % recovery, Microbial Desalination Cells (MDC) concurrently treat wastewater and generate energy to achieve desalination. MDCs can produce around 1.8 kWh of bioelectricity from the handling of 1 m3 of wastewater. Such energy can be directly used to i) totally remove the salt content in seawater without external energy input, or ii) partially reduce the salinity to lower substantially the amount of energy for a subsequent desalination treatment. MIDES aims to develop the World?s largest demonstrator of an innovative and low-energy technology for drinking water production, using MDC technology either as stand-alone or as pre-treatment step for RO. The project will focus on overcoming the current limitations of MDC technology such as low desalination rate, high manufacturing cost, biofouling and scaling problems on membranes, optimization of the microbial-electrochemical process, system scaling up and economic feasibility of the technology. This will be achieved via innovation in nanostructured electrodes, antifouling membranes (using nanoparticles with biocide activity), electrochemical reactor design and optimization, microbial electrochemistry and physiology expertise, and process engineering and control. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 685793. Participants: FCC AQUALIA SPAIN, FUJIFILM MANUFACTURING, FUNDACION IMDEA AGUA SPAIN, SGL CARBON GMBH GERMANY, LEITAT SPAIN, MIKROLIN HUNGARY TERMELO ES SZOLGALTATO KFT HUNGARY, ONCONTROL TECHNOLOGIES LDA PORTUGAL, SIMTECH GMBH AUSTRIA, ROOD WIT BLAUW WATER SERVICES BV THE NETHERLANDS, STICHTING IHE DELFT THE NETHERLANDS, NATIONAL ENGINEERING SCHOOL OF GABES TUNISIE, UNIVERSIDAD DE CHILE CHILE. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Pedro Sousa - Coordenador.

• 2016 - 2018

  KhronoSim - System for Simulation and Test of Complex Systems, Descrição: Concepts such as ?Fourth Industrial Revolution (Industry 4.0)? and ?Internet of the Things (IoT)? boasted into the technology speech like a blizzard, touching those who use and interest themselves of technology almost as much as those developing it. Such concepts are not surprisingly more used than understood; more are those using the concepts than those actually understanding their implications. Surprisingly enough, the increase of use of technology by the population at large, makes that security is not the least well-known aspect, though still not fully grasped however. Less well-known are the implications of complex systems working tightly coupled, with little or no human intervention, or possibility of human intervention, whatsoever. In such a scenario, testing components individually, one-by-one, is not sufficient to assert the correct functioning of the overall system. KhronoSim aims at developing a platform for testing cyber-physical systems in closed-loop. A platform that is modular, extensible and usable in multiple application domains. A platform featuring hard-real-time control, enabling the integration of simulation models to build a closed loop test environment and allowing the use of physical and virtual systems alike. The application case of the project is the simulation, control, and test of a sun-synchronous satellite. Reference number: KhronoSim/2016/17611; Host institutions: University of Coimbra (UC); Critical Software, SA; Institute of Engineering of Porto; Financing: co-financing by ?Portugal 2020? (PT2020), in the framework of the ?Competitiveness and Internationalization Operational Programme? (COMPETE 2020), and by the European Union through the European Regional Development Fund (ERDF);. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Alcidney Valério Chaves - Integrante / Mendes, Jérôme - Integrante / ARAÚJO, RUI ALEXANDRE M. - Coordenador / BELCHIOR, CARLOS ALBERTO C. - Integrante.

• 2014 - 2015

  Sistemas de Aterramento Percorridos por Correntes Impulsivas, Descrição: Na avaliação dos sistemas de aterramento (SA) das concessionárias, o método atual é feito de forma tradicional, medindo-se a resistência de terra dos mesmos, que demanda tempo elevado e necessita de grande espaço físico no entorno dos SA. Esta última condição nem sempre é possível, notadamente nas linhas de distribuição de Alta Tensão e Média Tensão (LDAT e LDMT) em centros urbanos, onde não há espaço para a medição. Uma forma alternativa de verificar os SA de LDMT é pela visualização dos eletrodos e suas conexões, demandando novos serviços para as empresas, com aumento de custos, comprometendo uma melhor avaliação dos sistemas de aterramento. Outra dificuldade das Concessionárias é em identificar se as hastes, os eletrodos, dos aterramentos foram fixadas da forma correta, no solo correto. Os inspetores de obras que aferem se as equipes de campo aplicaram da forma correta as hastes, atualmente, não possuem tecnologias que verificam se as hastes foram totalmente fixadas, sem ter que desterrar as mesmas. O equipamento suprirá o mercado nacional de tecnologia, hoje possível apenas no exterior e não adequado às características da resistividade dos solos brasileiros, além de proporcionar uma nacionalização, com ganhos competitivos. Também será possível, com a avaliação dos SA por meio de processamento computacional inteligente e adaptado ao solo brasileiro, dar condições especiais ao equipamento proposto. O projeto permitirá, de acordo com a literatura técnico-científica, o desenvolvimento de novas soluções de engenharia no segmento. Estão previstos artigos técnicos e uma solicitação de patente, o que agregará como contribuição no desenvolvimento de tecnologias brasileiras, para suprir necessidades do mercado nacional. Estão previstas bolsas de mestrado e graduação, aonde se almeja ter produções científicas oriundas do projeto. Estão previstos investimentos, na ordem de 100 mil reais, em infraestrutura dos laboratórios dos Centros de Pesquisa Proponentes (ICPs).. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Pontes, Ricardo S. T. - Coordenador / Tobias Rafael Fernandes Neto - Integrante.

• 2014 - 2015

  Sistema de Detecção de Desalinhamento Rotor-Estator para proteção de Aerogeradores, Descrição: O presente projeto tem como principal objetivo pesquisar e desenvolver um sistema capaz de realizar, com a maior brevidade possível, a detecção do desalinhamento no conjunto rotor-estator de geradores síncronos em aerogeradores (desbalanceamento), atuando de forma precoce na interrupção do giro do rotor, evitando assim a ocorrência de acidentes e reduzindo os elevados prejuízos financeiros causados por este tipo de falha. O sistema será composto por sensores de desbalanceamento e um software supervisor que monitorará, em tempo real, os sinais enviados pelos sensores. O sensor não deverá ser influenciado pelo campo magnético, deverá operar em uma larga faixa de temperatura e deverá ser de fácil e rápida instalação. Ao detectar qualquer anomalia capturada pelos sensores, o sistema atuará de forma preventiva, interrompendo o giro do rotor e informando qual a torre defeituosa. No mesmo sistema, será possível acompanhar informações operacionais e gerenciais, tais como disponibilidade do sistema, tempo médio entre falhas (mean time between fails), tempo médio para falhar (mean time to fail), tempo médio para reparos (mean time to repair), dentre outros.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Luiz Alves de Lima Neto - Coordenador., Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Bolsa.

• 2009 - 2014

  SInCACI - Intelligent Systems for Industrial Control, Acquisition and Communication, Descrição: The objectives and scope of the project are performing R&D on intelligent control and decision methods; Development of a general-purpose Fuzzy Control System (FCS); On-line process control and monitoring; Controller specification and implementation; Visualization of the process state; Devices/process failure reports; Direct application to industry problems; Research computational intelligence techniques for the development of soft sensors for industrial application; R&D on industrial communication and processing modules: industrial distributed real-time communication fieldbus protocols: ControlNet, Ethernet/IP, DeviceNet; ProfiNet. Relevant properties to industrial fieldbuses: Real-time operation, Reliability, Deterministic, Error-proof, Easy to extend and maintain. Direct application to industry problems; Selling on market Reference number: SInCACI/3120/2009; Host institutions: University of Coimbra (UC), and Acontrol; Financing: ?Mais Centro Operacional Program?, financed by ?European Regional Development Fund? (ERDF), and ?Agência de Inovação? (AdI);. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Jérôme Mendes - Integrante / Pedro Sousa - Integrante / ARAÚJO, RUI ALEXANDRE M. - Coordenador.

• 2007 - 2007

  Desenvolvimento de conversores CC-CC para utilização em energias renováveis, Descrição: Este projeto tem como o desenvolvimento de novas tecnologias para conversão DC-DC para aplicação em energias renovavéis.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / René P. Torrico-Bascopé - Coordenador., Número de produções C, T & A: 2

• 2006 - 2007

  Sistema de monitoramento automático para uma estação de tratamento de efluentes, Descrição: Este projeto busca soluções na área de meio ambiente através do monitoramento automático com ênfase no controle automático de estação de tratamento de esgoto (ETE) com finalidade de reúso. O objetivo é desenvolver um protótipo de um sistema digital de aquisição de dados voltado para o monitoramento e controle de um sistema de tratamento de esgoto constituído principalmente por um reator anaeróbio de manta de lodo de fluxo ascendente - UASB (Upflow Anaerobic Sludge Blanket), conectado em série com um reator de lodo ativado. O monitoramento contínuo através de um sistema de aquisição de dados pode minimizar o lançamento indesejável de cargas poluidoras no meio ambiente, aplicando-se desta forma uma vigilância constante e ininterrupta das plantas de tratamento de esgoto e de seus efluentes. Assim, a pesquisa visa mudar o atual paradigma de operação e controle destas plantas de tratamento de esgoto, buscando desenvolver soluções de automação com baixo custo de implantação, facilidade de operação e confiabilidade na qualidade dos efluentes.. , Situação: Concluído; Natureza: Pesquisa. , Alunos envolvidos: Graduação: (2) / Especialização: (0) / Mestrado acadêmico: (1) / Mestrado profissional: (0) / Doutorado: (0) . , Integrantes: Francisco Alexandre Andrade de Souza - Integrante / Alcidney Valério Chaves - Integrante / Carlos Alberto Belchior - Coordenador / Ricardo Silva Thé Pontes - Integrante., Financiador(es): Conselho Nacional de Desenvolvimento Científico e Tecnológico - Bolsa., Número de produções C, T & A: 3

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