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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Simões, Miguel Pereira, Tania Silva, Francisco MacHado, José Carlos Oliveira, Hélder P. University of Porto Inesc Tec - Institute for Systems and Computer Engineering Technology and Science Feup - Faculty of Engineering Porto Portugal Inesc Tec - Institute for Systems and Computer Engineering Technology and Science Porto Portugal University of Porto Inesc Tec - Institute for Systems and Computer Engineering Technology and Science Fcup - Faculty of Science Porto Portugal University of Porto Ipatimup - Institute of Molecular Pathology and Immunology i3S - Instituto de Investigação e Inovação em Saúde Fmup - Faculty of Medicine Porto Portugal

ISBN: (纸本)9798350337488

Microsatellite Instability (MSI) is an important biomarker in cancer patients, showing a defective DNA mismatch repair system. Its detection allows the use of immunotherapy to treat cancer, an approach that is revolutionizing cancer treatment. MSI is especially relevant for three types of cancer: Colon Adenocarcinoma (COAD), Stomach Adenocarcinoma (STAD), and Uterus corpus endometrial cancer (UCEC). In this work, learning algorithms were employed to predict MSI using RNA-seq data from The Cancer Genome Atlas (TCGA) database, with a focus on the selection of the most informative genomic features. The Multi-Layer Perceptron (MLP) obtained the best score (AUC = 98.44%), showing that it is possible to exploit information from RNA-seq data to find relevant relationships with the instability levels of microsatellites (MS). The accurate prediction of MSI with transcription data from cancer patients will help with the correct determination of MSI status and adequate prescription of immunotherapy, creating more precise and personalized patient care. At the genetic level, the study revealed a high expression of genes related to cell regulation functions, and a low expression of genes responsible for Mismatch Repair functions, in patients with high instability. © 2023 IEEE.

关键词： Artificial Neural Networks Cancer Immunotherapy Microsatellite Instability Prediction RNA-seq Data

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Novel adaptive protection approach for optimal coordination of directional overcurrent relays

Novel adaptive protection approach for optimal coordination ...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Cleberton Reiz Everton Alves André Melim Clara Gouveia António Carrapatoso Institute for Systems and Computer Engineering Technology and Science - INESC TEC Porto Portugal

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

The integration of inverter-based distributed generation challenges the implementation of an reliable protection This work proposes an adaptive protection method for coordinating protection systems using directional overcurrent relays, where the settings depend on the distribution network operating conditions. The coordination problem is addressed through a specialized genetic algorithm, aiming to minimize the total operating times of relays with time-delayed operation. The pickup current is also optimized. Coordination diagrams from diverse fault scenarios illustrate the method's adaptability to different operational conditions, emphasizing the importance of employing multiple setting groups for optimal protection system performance. The proposed technique provides high-quality solutions, enhancing reliability compared to traditional protection schemes.

关键词： Adaptive systems System performance Distribution networks Distributed power generation Reliability Protection Relays

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MANTIS: UAV for Indoor Logistic Operations

MANTIS: UAV for Indoor Logistic Operations

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Iberian Robotics Conference (ROBOT)

作者： André Dias João J. Martins José Antunes André Moura José Almeida INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (数字)9798350376364

ISBN: (纸本)9798350376371

This paper presents the Unmanned Aerial Vehicle (UAV) MANTIS, developed for indoor inventory management in large-scale warehouses. MANTIS integrates a visual odometry (VIO) system for precise localization, thus allowing indoor navigation in complex environments. The mechanical design was optimized for stability and maneuverability in confined spaces, incorporating a lightweight frame and efficient propulsion system. The UAV is equipped with an array of sensors, including a 2D LiDAR, six cameras, and two IMUs, which ensures accurate data collection. The VIO system integrates visual data with inertial measurements to maintain robust, drift-free localization. A behavior tree (BT) framework is responsible for the UAV mission planner assigned to the vehicle, which can be flexible and adaptive in response to dynamic warehouse conditions. To validate the accuracy and reliability of the VIO system, we conducted a series of tests using an OptiTrack motion capture system as a ground truth reference. Comparative analysis between the VIO and OptiTrack data demonstrates the efficacy of the VIO system in maintaining accurate localization. The results prove MANTIS, with the required payload sensors, is a viable solution for efficient and autonomous inventory management.

关键词： Location awareness Visualization Accuracy Inventory management Autonomous aerial vehicles Robot sensing systems Stability analysis Vehicle dynamics Sensor arrays Visual odometry

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Enhancing power distribution protection: a comprehensive analysis of renewable energy integration challenges and mitigation strategies

Enhancing power distribution protection: a comprehensive ana...

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14th Mediterranean Conference on Power Generation Transmission, Distribution and Energy Conversion (MEDPOWER 2024)

作者： Everton Alves Cleberton Reiz André Melim Clara Gouveia Institute for Systems and Computer Engineering Technology and Science - INESC TEC Porto Portugal

ISBN: (数字)9781837242689

The integration of Distributed Energy Resources (DER) imposes challenges to the operation of distribution networks. This paper conducts a systematic assessment of the impact of DER on distribution network overcurrent protection, considering the behavior of Inverter Based Resources (IBR) during faults in the coordination of medium voltage (MV) feeders’ overcurrent protection. Through a detailed analysis of various scenarios, we propose adaptive protection solutions that enhance the reliability and resilience of distribution networks in the face of growing renewable energy integration. Results highlight the advantages of using adaptive protection over traditional methods and topology changes, and delve into current protection strategies, identifying limitations and proposing mitigation strategies.

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A Competency Definition Based on the Knowledge, Skills, and Human Dispositions Constructs 1st

A Competency Definition Based on the Knowledge, Skills, and ...

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1st EAI International Conference on Internet of Everything, IoECon 2022

作者： Pereira, Teresa Amaral, António Mendes, Isabel Centro ALGORITMI Universidade do Minho Guimarães Portugal INESC TEC—Institute for Systems and Computer Engineering Technology and Science Porto4200-465 Portugal

ISBN: (纸本)9783031252211

The competency-based learning approach arose from the Bologna signed declaration. However, a competency definition has never been easy and has been evolving and adapted over time, from indicators and learning goals to learning outcomes, which were formulated in terms of competencies. Meanwhile, the competency concept becomes discussed by pears, in particular, associating knowledge, skills, and human dispositions or attitudes into the competency definition. This information will be an essential update to the previous approaches and certainly contribute to achieving more accurate and reliable competencies information for employers and higher education institutions (HEI). This paper aims to reinforce the relevance of these concepts and suggest how each construct of "knowledge, skills and human dispositions" could be approached to formulate a competency. In addition, due to accelerated digital transformation, an example of a digital competency defined by the DigComp 2.0 framework, with proposed information regarding each of the three constructs, will be presented to consolidate this challenge. As future work, it is intended to analyze the eight different levels, and competency profiles defined by the European Qualification Framework (EQF) and assign a profile to each defined competency. In the end, it is expected altogether to contribute to achieving a competency roadmap definition. © 2023, ICST institute for computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Knowledge based systems

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Unlocking Demand Response Potentials by Electric Vehicle Charging Stations in Smart Grids

Unlocking Demand Response Potentials by Electric Vehicle Cha...

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Mohammad Sadegh Javadi Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal

ISBN: (数字)9798350355185

ISBN: (纸本)9798350355192

Increasing the number of Electric Vehicles (EVs) imposes several challenges in power distribution networks. Developed Electric Vehicle Supply Equipment (EVSE) provides fast and efficient charging of EVs at the Public Charging Stations (PCS). These chargers benefit from balanced three-phase chargers with considerable power consumption. Hence, the optimal management and task scheduling for EVSE should be arranged in such a way as to avoid overloading network infrastructure or imposing new peaks on the distribution networks. On the other hand, energy management in the presence of high renewable energy penetration due to installed Photovoltaic (PV) panels at the low-voltage (LV) distribution network should be elaborated to minimize the renewable power curtailment. Hence, this paper presents a novel model to address the optimal scheduling of charging stations availability and unlocking the Demand Response (DR) potentials at the distribution networks with highly penetrated PV panels. The energy management model is represented as a standard Mixed-Integer Linear Programming (MILP) problem which can be solved by open-source solvers. The proposed model is tested for a real case study in Portugal to demonstrate the functionality of the developed tool.

关键词： Photovoltaic systems Renewable energy sources Distribution networks Optimal scheduling Charging stations Demand response Smart grids Power systems Energy management Standards

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ELECTRICAL VEHICLES - GRID INTEGRATION ISSUES AND SOLUTIONS

ELECTRICAL VEHICLES - GRID INTEGRATION ISSUES AND SOLUTIONS

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CIRED Porto Workshop 2022: E-Mobility and Power Distribution systems

作者： Küpper, Gerd Promel, François Benothman, Féres Carvalho, Leonel Magulski, Rafal ENGIE Impact Belgium INESC TEC - Institute for Systems and Computer Engineering Technology and Science Portugal Institute of Power Engineering Research Poland

ISBN: (数字)9781839537059

ISBN: (纸本)9781839537196

The EUniversal project aims to facilitate the use of flexibility services and to link distribution system's active management with electricity markets. In the framework of this project and based on optimal power flow simulations, the paper assesses the available flexibility of distributed generation and new loads, and their impact on operational planning of the electricity network under different conditions. In particular, it highlights the important role flexibility provided by electrical vehicles can play. More generally, it contributes to the question on how to design local flexibility markets, in terms of product definition and market delineation. © 2022 CIRED workshop on E-mobility and power distribution systems. All rights reserved.

关键词： Electric load flow

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THE EUNIVERSAL PORTUGUESE DEMONSTRATOR: FROM MV-LV COORDINATED IDENTIFICATION OF FLEXIBILITY NEEDS TO ACTIVATION THROUGH THE UMEI 27

THE EUNIVERSAL PORTUGUESE DEMONSTRATOR: FROM MV-LV COORDINAT...

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27th International Conference on Electricity Distribution, CIRED 2023

作者： Mourão, Rita Lopes Gouveia, Clara Sampaio, Gil Retorta, Fábio Merckx, Christian Benothman, Féres Águas, André Boto, Pedro Silva, Carlos Damas Milzer, Gesa Marzano, Giancarlo Dumont, Chloé Crucifix, Pierre Kaffash, Mahtab Heylen, Evelyn E-REDES Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Portugal ENGIE Impact Belgium NODES Norway N-SIDE Belgium Centrica Belgium

ISBN: (纸本)9781839539596

The EUniversal project, funded by the European Union, aims to establish a universal approach to the utilization of flexibility by Distribution System Operators (DSOs) and their engagement with new flexibility markets. To achieve this objective, the project team has focused on developing the Universal Market Enabling Interface (UMEI) concept. This paper presents an overview of the process of adapting grid core systems to interact with different market platforms and agents, which is a key aspect of the real-world demonstration set to take place in Portugal. © The Institution of engineering and technology 2023.

关键词： Electric power distribution

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Deep Left Ventricular Motion Estimation Methods in Echocardiography: A Comparative Study

Deep Left Ventricular Motion Estimation Methods in Echocardi...

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

作者： Sofia Ferraz Miguel Coimbra João Pedrosa Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Faculty of Engineering of the University of Porto (FEUP) Porto Portugal Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Faculty of Sciences of the University of Porto (FCUP) Porto Portugal

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Motion estimation in echocardiography is critical when assessing heart function and calculating myocardial deformation indices. Nevertheless, there are limitations in clinical practice, particularly with regard to the accuracy and reliability of measurements retrieved from images. In this study, deep learning-based motion estimation architectures were used to determine the left ventricular longitudinal strain in echocardiography. Three motion estimation approaches, pretrained on popular optical flow datasets, were applied to a simulated echocardiographic dataset. Results show that PWC-Net, RAFT and FlowFormer achieved an average end point error of 0.20, 0.11 and 0.09 mm per frame, respectively. Additionally, global longitudinal strain was calculated from the FlowFormer outputs to assess strain correlation. Notably, there is variability in strain accuracy among different vendors. Thus, optical flow-based motion estimation has the potential to facilitate the use of strain imaging in clinical practice.

关键词： Training Accuracy Echocardiography Motion estimation Pipelines Noise Strain measurement Reliability Optical flow Strain

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Direct Search Algorithm for Load Frequency Control of a Time-Delayed Electric Vehicle Aggregator

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IEEE Transactions on Industry Applications 2022年第2期59卷 1-11页

作者： Abolpour R. Torabi K. Dehghani M. Vafamand N. Javadi M.S. Wang F. Catalao J.P.S. School of Electrical and Computer Engineering Shiraz University Shiraz Iran Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Department of Electrical Engineering North China Electric Power University (NCEPU) Baoding China Faculty of Engineering University of Porto (FEUP) and INESC TEC Porto Portugal

This paper addresses the topic of frequency regulation of a single-area power system connected to an electric vehicle (EV) aggregator over a non-ideal communication network. It is considered that the command control action is received by the EV aggregator with constant delay and the power system includes uncertain parameters. Due to the presence of uncertainties and the delay term, the frequency regulation problem is non-convex and hard to solve. The present approaches in the literature convert the non-convex control design problem into a convex problem with a set of Linear Matrix Inequalities (LMIs), which is conservative and in many cases results infeasibility. In this paper, an innovative iterative algorithm, called direct search, is employed for the time-delayed system to design the unknown parameters of a pre-assumed controller. The controller choice is not limited and various controllers' structures can be assumed. Without loss of generality, a proportional-integral (PI) controller is designed. The novel direct search algorithm can determine a feasible solution whenever at least one solution lays in the design space. Hence, by selecting a wide design space, we can anticipate that the PI controller guarantees closed-loop stability. Numerical simulations are carried out to demonstrate the performance of the developed controller compared to the state-of-the-art approach. IEEE

关键词： Asymptotic stability Delay effects Delays direct search algorithm electric vehicle aggregator Frequency control Load frequency control Lyapunov Krasovskii Functional (LKF) Power system stability Renewable energy sources robust control Stability criteria time delay

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