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作者： Pedro Guedes Nuno Viana José Silva Guilherme Amaral Hugo Ferreira André Dias José Miguel Almeida Alfredo Martins Eduardo Silva ISEP School of Engineering Polythecnhic Institute of Porto Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

For the context of a mobile tracking system, an underwater acoustic positioning system was developed, using three hydrophones to compute the direction of an acoustic source relative to an Autonomous Surface Vehicle (ASV). The paper presents an algorithm for the Direction of Arrival (DoA) of an acoustic source, which allows to estimate its position. Preliminary results will be shown in this paper relative to the detection and identification (ID) of the acoustic sources, as well as an analysis of the proposed algorithm. The solution allows the position estimation of an acoustic source, which can be used in tracking solutions. The system can be applied in an ASV or fixed buoys, as long as the baseline's hydrophones are at equal angular distances. The main objective is to track targets with the DoA algorithm as well to estimate their position, improving what was done in [1].

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Next-generation smart homes: CO 2 monitoring with Matter protocol to support indoor air quality

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Internet of Things 2025年

作者： Afonso Mota Carlos Serôdio Ana Briga-Sá Antonio Valente Department of Engineering School of Sciences and Technology Universidade de Trás-os-Montes e Alto Douro (UTAD) 5000-801 Vila Real Portugal Center ALGORITMI Universidade do Minho Campus de Azurém Guimarães 4800-058 Portugal CQ-VR (Center of Chemistry of Vila Real) Universidade de Trás-os-Montes e Alto Douro 5000-801 Vila Real Portugal CRIIS (Centre for Robotics in Industry and Intelligent Systems) INESC-TEC—Institute for Systems and Computer Engineering Technology and Science Campus da FEUP Porto 4200-465 Portugal

Humans spend most of their time indoors, where air quality and comfort are crucial to health and well-being. Elevated CO 2 levels in buildings can reduce cognitive function, discomfort, and health issues. Indoor CO 2 monitoring has emerged as a key focus in the literature, particularly in residential buildings, as it can play a vital role in helping to maintain adequate ventilation rates. The growing smart home market demands seamless integration and control, which are essential for implementing IAQ sensing devices. However, interoperability barriers between platforms and devices continue to hinder smart home adoption. To address these challenges, Matter protocol is starting to appear in the market. In this work, a wireless CO 2 sensor is developed based on ESP32-C6 and SCD40 and integrated into a created Matter-enabled ecosystem formed with the Home Assistant open-source platform. The utilized hardware and software enable the usage of two different wireless communication technologies, WiFi and Thread, enhancing compatibility. The study highlights the rapid and seamless onboarding of the developed CO 2 monitoring device into smart home ecosystems using the Matter protocol. As a result, once the device is successfully added to the ecosystem, the measurements can be accessed and analyzed through a mobile application, forming an IoT environment.

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Development of A Hybrid Method to Control the Grid-Connected PV Converter

Development of A Hybrid Method to Control the Grid-Connected...

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Farzad Roozitalab Mohammad Amin Jarrahi Mohammad Mehdi Arefi Mohammad Sadegh Javadi Amjad Anvari-Moghadam João P. S. Catalão School of Industrial and Information Engineering Politecnico di Milano Univesity Milan Italy School of Electrical and Computer Engineering Shiraz University Shiraz Iran Insitute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Aalborg University Aalborg Denmark Faculty of Engineering of the University of Porto (FEUP) Porto Portugal

ISBN: (数字)9781728174556

ISBN: (纸本)9781728174563

Grid-connected photovoltaic (PV) systems are considered as the best options for home solar electric system applications. Compared to other alternatives, grid-connected PV systems offer the least expensive and lowest-maintenance choice for residential usage. The PV systems are constructed using some solar cells to extract the energy from sun radiations and power converters to convert the output DC voltage into AC one. In the present study a hybrid scheme is suggested to control the grid-connected PV converters. The developed scheme is able to inject the power created by solar arrays into the network. Also, it can rectify the problems associated with the reactive power and load harmonics in the system. Moreover, the suggested technique can secure the load active and reactive power during the network failure conditions. One of the contributions of the proposed method is that it can manage the power of solar arrays to supply the load, filter the harmonics and compensate the reactive power in a situation where the power produced by solar arrays is less than the power of converters. In this condition, the proposed technique can make the current drawn from the grid completely sine at unity power factor.

关键词： Reactive power Harmonic analysis Inverters Power system harmonics Voltage control Mathematical model Capacitors

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A systematic review of artificial intelligence applications in education: Emerging trends and challenges

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Decision Analytics Journal 2025年 15卷

作者： Matos, Tomás Santos, Walter Zdravevski, Eftim Coelho, Paulo Jorge Pires, Ivan Miguel Madeira, Filipe Escola Superior de Gestão e Tecnologia Polytechnic University of Santarém 2001-904 Portugal Escola Superior de Tecnologia e Gestão de Águeda Universidade de Aveiro Águeda Portugal Faculty of Computer Science and Engineering University Ss Cyril and Methodius Skopje 1000 North Macedonia School of Technology and Management Polytechnic University of Leiria Leiria Portugal Institute for Systems Engineering and Computers at Coimbra (INESC Coimbra) Coimbra Portugal Instituto de Telecomunicações Escola Superior de Tecnologia e Gestão de Águeda Universidade de Aveiro Águeda Portugal Digital Literacy and Social Inclusion Research Hub from CIAC Polytechnic University of Santarém 2001-904 Portugal

The academic world is becoming increasingly interested in the applications of Artificial Intelligence technology in education. A systematic review examines AI applications in education, focusing on their effectiveness, challenges, and implications. A comprehensive analysis of studies published between 2011 and 2024 encompassed 45 research articles from major databases, such as PubMed Central, IEEE Xplore, Elsevier, Springer, MDPI, ACM, and PMC. The findings highlight the predominant use of generative AI tools like ChatGPT (30%), followed by other advanced technologies, such as GPT-4, machine learning, and virtual reality. Research across global regions, particularly in Canada (18%), the United States (12%), and China (8%), highlights the multifaceted applications of AI in enhancing personalized learning, fostering critical thinking, and supporting professional education. Tools such as ChatGPT have demonstrated strong performance in theoretical knowledge delivery and medical education, while augmented and virtual reality excels in practical skill development. Despite these advances, challenges such as data privacy concerns, algorithmic bias, and the need for specialized educator training remain critical. © 2025 The Author(s)

关键词： Adaptive learning Artificial intelligence ChatGPT Educational technology Machine learning Systematic review

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Implementation of Consensus-ADMM Approach for Fast DC-OPF Studies

Implementation of Consensus-ADMM Approach for Fast DC-OPF St...

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International Conference on Smart Energy systems and technologies (SEST)

作者： Mohammad Javadi Ali Esmaeel Nezhad Matthew Gough Mohamed Lotfi João P.S. Catalão Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Department of Electrical Electronic and Information Engineering University of Bologna Italy

This paper proposes a novel method for solving the Optimal Power Flow (OPF) problem in conditions close to realtime. The linearized cost function of the generating units is used to this end. Besides, the presented linear model is solved using the Consensus Alternating Direction Method of Multipliers (C-ADMM) approach. This technique would provide the possibility of modeling the problem both in centralized and decentralized manners. The suggested method exploits the power flow results obtained from the previous iteration to considerably improve the rate of convergence. As the C-ADMM method uses an iterative technique, Lagrange multipliers, and the norm function, the rate of convergence highly depends upon assigning the initial conditions and the optimality gap. Thus, using the operating points of the previous instant due to being close to the operating point of the current instant would enhance the results. The proposed model has been implemented on two case studies including the Pennsylvania-New Jersey-Maryland (PJM) network to verify the results and the 9-bus system to evaluate the performance of the model for the daily operation.

关键词： Load flow Convergence Linear programming Cost function Power transmission lines

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Mirrorlabs - creating accessible Digital Twins of robotic production environment with Mixed Reality

Mirrorlabs - creating accessible Digital Twins of robotic pr...

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IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： Doris Aschenbrenner Jonas S.I. Rieder Daniëlle van Tol Joris van Dam Zoltan Rusak Jan Olaf Blech Mohammad Azangoo Salo Panu Karl Kruusamäe Houman Masnavi Igor Rybalskii Alvo Aabloo Marcelo Petry Gustavo Teixeira Bastian Thiede Paolo Pedrazzoli Andrea Ferrario Michele Foletti Matteo Confalonieri Daniele Bertaggia Thodoris Togias Sotiris Makris Industrial Design Engineering TU Delft Delft Netherlands Electrical Engineering and Automation Aalto University Espoo Finland Intelligent Materials and Systems Lab University Tartu Tartu Estonia CRIIS INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal TU Braunschweig Braunschweig Germany SUPSI Manno Switzerland LMS University of Patras Patras Greece

ISBN: (数字)9781728174631

ISBN: (纸本)9781728174648

How to visualize recorded production data in Virtual Reality? How to use state of the art Augmented Reality displays that can show robot data? This paper introduces an opensource ICT framework approach for combining Unity-based Mixed Reality applications with robotic production equipment using ROS Industrial. This publication gives details on the implementation and demonstrates the use as a data analysis tool in the context of scientific exchange within the area of Mixed Reality enabled human-robot co-production.

关键词： Robots Service robots Robot sensing systems Production Mixed reality Hardware Software

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Novel RSSI-based Localization System for Cattle and Animal Tracking

Novel RSSI-based Localization System for Cattle and Animal T...

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2019 International Conference on engineering Applications, ICEA 2019

作者： Santos, Victor D.N. Neves, Bernardino Ferreira, N.M. Fonseca Coimbra Polytechnic ISEC Rua Pedro Nunes-Quinta da Nora Coimbra3030-199 Portugal Institute for Systems and Computers Engineering at Coimbra INESC Coimbra Rua Sílvio Lima Pólo II DEEC Coimbra3030-790 Portugal Technology and Science-INESC TEC Institute for Systems and Computer Eng. Rua Dr. Roberto Frias Porto4200-465 Portugal

ISBN: (纸本)9781728129624

This paper presents a novel radio localization system based on radio signal strength measurements to estimate the location of animals on a farm. The system uses low-cost mobile devices based on a microcontroller, a radio transceiver and an antenna. The developed solution works on the 433 MHz band and comprises innovative protocols that use the radio wake-up concept in order to minimize the mobile unit energy consumption, promoting that way its autonomy. A software application was developed to track the animals on a real-time basis using the Internet of Things paradigm. © 2019 IEEE.

关键词： Animals

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Optimizing the fluidity in thin-section investment casting for vacuum induction molten AZ91D-1 %wt. CaO

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Journal of Magnesium and Alloys 2025年

作者： V.H. Carneiro V. Lopes I. Duarte H. Puga INESC TEC - Institute for Systems and Computer Engineering Technology and Science R. Dr. Roberto Frias 4200-465 Porto Portugal Department of Engineering School of Science and Technology - Universidade de Trás-os-Montes e Alto Douro Quinta de Prados 5001-801 Vila Real Portugal INL – International Iberian Nanotechnology Laboratory Avenida Mestre José Veiga 4715-330 Braga Portugal CMEMS-UMinho Department of Mechanical Engineering University of Minho Campus de Azurém 4800-058 Guimarães Portugal TEMA - Centre for Mechanical Technology and Automation Department of Mechanical Engineering University of Aveiro Campus Universitário de Santiago 3810-193 Aveiro Portugal LASI - Intelligent Systems Associate Laboratory Campus Azurém 4800-058 Guimarães Portugal

This paper discusses an experimental investigation into the fluidity of AZ91D-1 %wt. CaO magnesium melt via induction for thin-section investment casting. Plaster molds with thin spiral cavities (0.5 to 1.5 mm square sections) were designed and manufactured to assess the impact of casting conditions on filling length, as magnesium alloys cause severe melting and melt-mold exothermic reactions, making investment casting challenging. Combinations of traditional Mg-mold reaction mitigation techniques, such as applying a protective mold coating (Yttria) and vacuum, were examined to determine their role in the filling process. The results suggest that when induction is employed to melt reactive alloys, these methods are not always beneficial, as initially thought. Particularly at higher melt temperatures, the combination of Yttria-coated molds with low-pressure vacuum induction significantly reduce fluidity: vacuum induced melt levitation which promotes oxidation with the residual atmosphere; and Yttria-coating cracking due to thermal stress during the mold fabrication slows filling and promotes significant melt-mold reaction. This study shows that best results to investment cast thin-sections are obtained by avoiding both vacuum and protective coatings, providing a viable route for the precision manufacturing of stent biomedical devices.

关键词： Az91d-1 %wt. cao Fluidity Investment casting Yttria-coating Vacuum

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Ramp Analysis of the Portuguese Net Load under Different Decarbonization Scenario

Ramp Analysis of the Portuguese Net Load under Different Dec...

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Power tech Conference

作者： Jorge Dias de Magalhães José Villar Faculdade de Engenharia da Universidade do Porto Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

European energy strategy towards decarbonization, and its practical implementations in the different EU countries, will imply a continuous increase of variable (non-dispatchable) renewable energy (VRE), like wind and solar PV generation. This increasing VRE along with the progressive closing of current greenhouse gas (GHG) emitting plants, will decrease the net demand (inflexible demand minus non-dispatchable generation), reducing the amount of dispatchable generation needed to face both low VRE periods and larger net demand ramps. These problems need to be assessed to anticipate possible mismatches between net demand values and ramps, and the available resources with generation and ramping capabilities, so that the security and quality of supply is guaranteed. In case of expected risk, regulatory mechanisms, such as new market clearing rules or incentives to new flexibility sources or to new generation and storage technologies, could be required. This paper looks at the possible evolution of the Portuguese power system focusing on the net demand ramp problem. The historical and expected evolution of the hourly ramps of the net demand are analyzed considering different scenarios of high wind and solar PV penetration, according to different degrees of convergence to the EU energy strategic objectives.

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Design and Development of a multi rotor UAV for Oil Spill Mitigation

Design and Development of a multi rotor UAV for Oil Spill Mi...

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OCEANS - Europe

作者： A. Oliveira D. Pedrosa T. Santos A. Dias G. Amaral A. Martins J. Almeida E. Silva INESC TEC Institute for Systems and Computer Engineering Technology and Science Porto Portugal ISEP Instituto Superior de Engenharia do Porto Porto Portugal

Over the last few years, oil spill incidents occured with some regularity during exploration, production and transportation, causing a large economic and ecologic impact in the world community. To minimise these impacts and reduce the time response of the initial mitigation process, autonomous vehicles, such as unmanned aerial vehicles (UAV) can be used to perform oil spill monitoring and mitigation. This paper presents the design and implementation of a multirotor UAV capable of identifying and combat the oil spill, by using a release system of consortia with bacteria and nutrients. Several field tests occurred in Portugal and Spain, where the oil spill was implemented in a simulated environment, resulting in a cooperative and simultaneous manoeuvre between the vehicles.

关键词： Oils Cameras Trajectory Microorganisms Powders Three-dimensional displays Unmanned aerial vehicles

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