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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Tamás Karácsony Nicholas Fearns Christian Vollmar Denise Birk Jan Rémi Soheyl Noachtar João Paulo Silva Cunha Center for Biomedical Engineering Research (C-BER) Institute for Systems’ Engineering and Computers Technology & Science (INESC TEC) Porto Portugal Faculty of Engineering (FEUP) University of Porto Porto Portugal Robotics Institute Carnegie Mellon University Pittsburgh PA USA Department of Neurology Epilepsy Center University of Munich Munich Germany

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Epileptic seizures are clearly characterized by their displayed behavior, the semiology, which is used in diagnosis and classification as a base for therapy. This article presents a novel 4K 3D video recording and reviewing system for epilepsy monitoring, introducing a novel perspective and allowing continuous recording and review of 3D videos in the epilepsy monitoring unit (EMU), providing significantly more detail than the current clinical systems, which can lead to the recognition of more Movements of Interest (MOIs) and may reduce inter-rater variability. To put the system to an initial test in clinical practice the article presents three real-world examples of subtle MOIs, that could only be appreciated on the 4K-video, but not on the VGA-video, recorded as part of the clinical routine. In conclusion, a 4K-RGB recording, 3D cropping, and 3D video playing system was developed, implemented, and tested for realworld clinical scenarios, considering the specific requirements of clinical monitoring in EMUs. The new data acquisition setup can support clinical diagnosis, which may lead to new insights in the field of epilepsy and the development of AI approaches in the future.

关键词： Three-dimensional displays Reviews Epilepsy Medical treatment Semiotics systems support Artificial intelligence engineering in medicine and biology Monitoring Video recording

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Optimal Participation of Virtual Power Plants in the Electricity Market Considering Multi-Energy systems

Optimal Participation of Virtual Power Plants in the Electri...

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International Conference on Smart Energy systems and technologies (SEST)

作者： Mohammad Sadegh Javadi Gerardo J. Osório André S. Parente João P.S. Catalão Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Portucalense University Infante D. Henrique (UPT) / REMIT Porto Portugal Faculty of Engineering University of Porto Porto Portugal Research Center for Systems and Technologies (SYSTEC) Advanced Production and Intelligent Systems Associate Laboratory (ARISE) Faculty of Engineering University of Porto Porto Portugal

The growth and modernization of the power system are the keys to enabling economic progress. The deregulation, added to the new emerging production technologies, conversion, and storage, triggered a change in the way of managing the power system worldwide. This work analyses the optimal dispatch of a virtual power plant (VPP) with active participation in the electricity market, considering multi-energy systems. The objective is to minimize the total operating cost of the power plant. The power plant is fed by two external networks: electrical and natural gas. The VPP is composed of energy production, conversion, and storage technologies, also considering the integration of a wind turbine and a set of electric vehicles (EVs). In addition to the Grid-to-Vehicle (G2V) charging, the advantage of Vehicle-to-Grid (V2G) technology is also verified, which allows the injection of power into the grid through the vehicles and Vehicle-to-Load (V2L) technology, enabling EVs to contribute to the satisfaction of the electrical load, reducing the costs, showing the advantages as well of EVs' integration in the VPP under analysis.

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A Comparative Study of Feature-Based and End-to-End Approaches for Lung Nodule Classification in CT Volumes to Lung-RADS Follow-up Recommendation

A Comparative Study of Feature-Based and End-to-End Approach...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Carlos A. Ferreira Isabel Ramos Miguel Coimbra Aurélio Campilho Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Faculty of Engineering of the University of Porto (FEUP) Porto Portugal Department of Radiology São João University Hospital (CHUSJ) Porto Portugal Faculty of Medicine of the University of Porto (FMUP) Porto Portugal Faculty of Sciences of the University of Porto (FCUP) Porto Portugal

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

Lung cancer represents a significant health concern necessitating diligent monitoring of individuals at risk. While the detection of pulmonary nodules warrants clinical attention, not all cases require immediate surgical intervention, often calling for a strategic approach to follow-up decisions. The LungRADS guideline serves as a cornerstone in clinical practice, furnishing structured recommendations based on various nodule characteristics, including size, calcification, and texture, outlined within established reference tables. However, the reliance on labor-intensive manual measurements underscores the potential advantages of integrating decision support systems into this process. Herein, we propose a feature-based methodology aimed at enhancing clinical decision-making by automating the assessment of nodules in computed tomography scans. Leveraging algorithms tailored for nodule calcification, texture analysis, and segmentation, our approach facilitates the automated classification of follow-up recommendations aligned with Lung-RADS criteria. Comparison with a previously reported end-to-end image-based classification method revealed competitive performance, with the feature-based approach achieving an accuracy of 0.701 ± 0.026, while the end-to-end method attained 0.727 ± 0.020. The inherent explainability of the feature-based approach offers distinct advantages, allowing clinicians to scrutinize and modify individual features to address disagreements or rectify inaccuracies, thereby tailoring follow-up recommendations to patient profiles.

关键词： Computed tomography Pipelines Lung cancer Lung Surgery Usability Task analysis

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Model-Based Analysis of Sustainable Energy Transition: A Case Study of Portugal's Regional Wind and Solar Power Generation

Model-Based Analysis of Sustainable Energy Transition: A Cas...

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International Conference on European Electricity Market, EEM

作者： André Rodrigues de Oliveira Salvador Doménech Martínez José Villar Collado Mónica Meireles Max Alberto López-Maciel Fátima Lima Edimar Ramalho Margarita Robaina Mara Madaleno Marta Ferreira Dias INESC TEC –Institute for Systems and Computer Engineering Technology and Science Porto Portugal ISCTE-University Institute of Lisbon and Business Research Unit (bru_iscte) Lisboa Portugal DAO & CESAM University of Aveiro Aveiro Portugal DEGEIT – Department of Economics Management Industrial Engineering and Tourism GOVCOPP – Research Unit on Governance Competitiveness and Public Policies University of Aveiro Aveiro Portugal

ISBN: (数字)9798350381740

ISBN: (纸本)9798350381757

In the context of the R3EA project, funded by the Portuguese Foundation for science and technology (FCT), we analyse a set of selected future power system scenarios to assess the impact, on the Iberian electricity market (MIBEL), of installing wind and solar generation capacity in Portugal's Centro Region. We use the long-term MIBEL operation and planning model CEVESA. The scenarios are designed based on the current economic situation and the last National Energy and Climate Plan drafts for Portugal and Spain, by distributing the expected new wind and solar generation capacity differently among Portugal regions, also considering the flexible demand for producing electrolytic hydrogen. Market prices, capture prices and production per technology are analysed to assess this impact. Results show that regional investments have no significant impact on the MIBEL variables analysed.

关键词： Wind energy generation Renewable energy sources Analytical models Sensitivity Production Wind power generation Power systems

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Post-Operative Recovery Process Assessment of Total Hip Arthroplasty with Instrumented Implant

Post-Operative Recovery Process Assessment of Total Hip Arth...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Carlos Rodrigues Miguel Correia João Abrantes Marco Rodrigues Jurandir Nadal C-BER - Centre for Biomedical Engineering Research INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal MovLab - Laboratory of Technologies for Interactions and Interfaces CICANT - Centre for Research in Applied Communication Culture and New Technologies Lisbon Portugal Department of Electronic and Systems Federal University of Pernambuco Recife Brazil Biomedical Engineering Program Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

This study presents variability assessment of real time measurements from in-vivo internal joint loads with instrumented implant during post-operative (PO) recovery process from total hip arthroplasty on daily living gait activities. A total of 112 trials walking supported by crutches in both hands, contralateral and ipsilateral sides, walking on treadmill at constant velocities, accelerating, decelerating and free walking, were assessed from 9 different patients ranging 0.3 to 76-month PO. Variability was assessed based on standard deviation of the vertical joint load normalized to each subject body weight with this metric adequacy to monitor PO recover.

关键词： Legged locomotion Temperature measurement Force measurement Instruments Force Time series analysis Implants

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Classification of endoscopic capsule pathologies using Multiple Instance Learning methods

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Procedia computer science 2025年 256卷 1116-1124页

作者： Vitor Moreira Eduardo Machado Dalila Barbosa Marta Salgado Geraldo Braz António Cunha University of Trás-os-Montes e Alto Douro 5001-801 Vila Real Portugal INESC TEC – Institute for Systems and Computer Engineering Technology and Science 4200-465 Porto Portugal Centro Hospitalar Universitário de Santo António Porto Portugal Núcleo de Computacão Aplicada — Universidade Federal do Maranhão (UFMA) São Luís MA Brasil

This article presents an investigation into the classification of endoscopic capsule pathologies using Multiple Instance Learning (MIL) methods in conjunction with deep neural network architectures. The primary problem addressed in this study is the accurate and efficient detection of gastrointestinal pathologies, a significant challenge in medical diagnostics that can have a profound impact on patient outcomes. The use of endoscopic capsules is particularly important as they provide a minimally invasive method to capture comprehensive images of the gastrointestinal tract, facilitating early detection of conditions such as ulcers, polyps, bleeding, and Crohn’s disease. Specifically, we explore three variants of MIL - Max, Mean, and Attention - for analysing sets of images captured by the endoscopic capsule. MIL was employed because it effectively handles scenarios where individual image instances are not explicitly labelled but are grouped in bags with known labels, making it suitable for the complex nature of endoscopic data. Furthermore, MIL has not yet been extensively applied in this modality, highlighting the innovative aspect of our approach. In addition, we evaluated the performance of three convolutional neural network architectures - VGG16, ResNet50, and DenseNet121 - in the classification task. The results indicate that the combination of MIL methods and deep neural network architectures offers a promising approach to the detection and classification of gastrointestinal pathologies, with significant improvements in diagnostic accuracy and efficiency.

关键词： Image Classification Medical Imaging Deep Learning Multiple Instance Learning

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Indoor Channel Characterization With Extremely Large Reconfigurable Intelligent Surfaces at 300 GHz

Indoor Channel Characterization With Extremely Large Reconfi...

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European Conference on Antennas and Propagation, EuCAP

作者： Fabio Cardoso Sérgio Matos Luís M. Pessoa George C. Alexandropoulos Department of Information Science and Technology University Institute of Lisbon Portugal Instituto de Telecomunicações Portugal INESC TEC Portugal Faculty of Engineering University of Porto Portugal Department of Informatics and Telecommunications National and Kapodistrian University of Athens Greece Department of Electrical and Computer Engineering University of Illinois Chicago IL USA

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

The technology of Reconfigurable Intelligent Surfaces (RISs) is lately being considered as a boosting component for various indoor wireless applications, enabling wave propagation control and coverage extension. However, the incorporation of extremely large RISs, as recently being considered for ultrahigh capacity industrial environments at subTHz frequencies, imposes certain challenges for indoor channel characterization. In particular, such RISs contribute additional multipath components and their large sizes with respect to the signal wavelength lead to near-field propagation. To this end, ray tracing approaches become quite cumbersome and need to be rerun for different RIS unit cell designs. In this paper, we present a novel approach for the incorporation of RISs in indoor multipath environments towards their efficient channel characterization. An 100 × 100 RIS design with 2-bit resolution unit cells realizing a fixed anomalous reflection at 300 GHz is presented, whose radar cross section patterns are obtained via full-wave simulations. It is showcased that the RIS behavior can be conveniently approximated by a three-ray model, which can be efficiently incorporated within available ray tracing tools, and that the far-field approximation is valid for even very small distances from the RIS.

关键词： Wireless communication Indoor communication Radar cross-sections Europe Reconfigurable intelligent surfaces Ray tracing Boosting Antennas and propagation Terahertz communications

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Decision-Making Framework For AMR Fleet Size In Manufacturing Environments

Decision-Making Framework For AMR Fleet Size In Manufacturin...

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IEEE International Conference on Autonomous Robot systems and Competitions (ICARSC)

作者： Catarina Rema Romão Santos Henrique Piqueiro Diogo Miguel Matos Paulo Moura Oliveirat Pedro Costa Manuel F. Silva Fillipe L. Ribeiro CRIIS - Centre for Robotics in Industry and Intelligent Systems INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal Department of Engineering University of Trás-os-Montes and Alto Douro (UTAD) Vila Real Portugal Faculty of Engineering University of Porto (FEUP) Porto Portugal ISEP Polytechnic of Porto rua Dr. António Bernardino de Almeida Porto Portugal JPM Industry Vale de Cambra Portugal

ISBN: (数字)9798331538606

ISBN: (纸本)9798331538613

Industry 4.0 is transforming manufacturing environments, with robotics being a key technology that enhances various capabilities. The flexibility of Autonomous Mobile Robots has led to the rise of multi-robot systems in industrial settings. Considering the high cost of these robots, it is essential to determine the best fit of number and type before making any major investments. Simulation and modeling are valuable decision-support tools, allowing the simulation of different setups to address robot fleet sizing issues. This paper introduces a decision-support framework that combines a fleet manager software stack with the FlexSim simulator, helping decision-makers determine the most suitable mobile robots fleet size tailored to their needs. Unlike previous approaches, the developed solution integrates the same real robot coordination software in both simulation and actual deployment, ensuring that tested scenarios accurately reflect real-world conditions. A case study was conducted to evaluate the framework, involving multiple tasks of loading and unloading materials within a warehouse. Five different scenarios with varying fleet sizes were simulated, and their performances assessed. The analysis concluded that, for the case study under consideration, a fleet of three robots was the most suitable, considering relevant key performance indicators. The results confirmed that the developed solution is an effective alternative for addressing the problem and represents a novel technology with no prior state-of-the-art equivalents.

关键词： Service robots Robot kinematics Decision making Dynamic scheduling Software Batteries Software reliability Resource management Mobile robots Autonomous robots

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Digital Nomads during the COVID-19 Pandemic: Evidence from Narratives on Reddit discussions 25

Digital Nomads during the COVID-19 Pandemic: Evidence from N...

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25th IEEE International Conference on computer Supported Cooperative Work in Design, CSCWD 2022

作者： De Almeida, Marcos Antonio Correia, Antonio De Souza, Jano Moreira Schneider, Daniel Systems Engineering and Computer Science Program PESC/COPPE/UFRJ Rio de Janeiro Brazil Inesc Tec University of Trás-os-Montes e Alto Douro Vila Real Portugal Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research NCE/UFRJ Rio de Janeiro Brazil

ISBN: (纸本)9781665405270

In this paper, we report on new findings about the results of an empirical study which aims to investigate how the COVID-19 pandemic has been shaping nomadic work practices and also challenging the lifestyles of digital nomads (DN). To do this, we collected textual data from posts in a Reddit community. We argue that, in order to understand how to design technical solutions for the so-called 'new normal' working conditions, one way to approach this is to understand how digital nomads are being impacted in their work practices and routines, and also how they are seeing the future of their technology-mediated work-life space. Finally, we show how evidence collected from DNs about their experiences and difficulties perceived during the pandemic period can inform CSCW researchers worldwide about future design-oriented strands. © 2022 IEEE.

关键词： COVID-19

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Explanatory and Causal Analysis of the Portuguese Manual Balancing Reserve

Explanatory and Causal Analysis of the Portuguese Manual Bal...

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Power tech Conference

作者： Carla Gonçalves Miguel Ribeiro João Viana Renato Fernandes José Villar Ricardo Bessa Gonçalo Correia José Sousa Virgílio Mendes Ana Cristina Nunes INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal EDP Produção Porto Portugal

This paper analyzes the activation of the manual balancing reserve of the Portuguese system and its prices for the period 2015-2017. Standard, logistic and LASSO regression models, causal analysis based on Bayesian networks and random forests are applied. Results show that the variables that better explain the activation of the manual reserve are the imbalances of both renewable generation and demand, but surprisingly forecasted with persistence models based on the last verified measurements (available 15 minutes before the reserve activation), instead of using more elaborated models based on production forecasts. Prices, however, are harder to explain suggesting the need for additional information, such as bidding prices not used in this study.

关键词： Analytical models Schedules Manuals Production Predictive models Real-time systems Time measurement

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