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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 Non-Parametric LPV Approach to the Indentification of Linear Periodic systems ⁎

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IFAC-PapersOnLine 2021年第8期54卷 13-19页

作者： Paulo Lopes dos Santos T-P Azevedo Perdicoúlis INESC TEC - Institute for Systems and Computer Engineering Technology and Science and FEUP - Faculty of Engineering University of Porto Rua Dr Roberto Frias s/n 4200-464 Porto Portugal Universidade de Trás-os-Montes e Alto Douro Vila Real and Instituto de Sistemas e Robótica (ISR) Coimbra both in Portugal

A non-parametric identification algorithm is proposed to identify Linear Time Periodic (LTP) systems. The period is unknown and can be any real positive number. The system is modelled as an ARX Linear Parameter Varying (LPV) system with a virtual scheduling signal consisting of two orthogonal sinusoids (a sine and a cosine) with a period equal to the system period. Hence, the system parameters are polynomial functions of the scheduling vector. As these polynomials may have infinite degree, a non-parametric model is adopted to describe the LPV system. This model is identified by a Gaussian Process Regression (GPR) algorithm where the system period is a hyperparameter. The performance of the proposed identification algorithm is illustrated through the identification of a simulated LTP continuous system described by a state-space model. The ARX-LTP discrete-time model estimated in the noiseless case was taken as the true model.

关键词： System Identification LTP systems LPV systems Arx Gaussian Process Regression Kernel

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A Kernel Principal Component Regressor for LPV System Identification ⁎

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IFAC-PapersOnLine 2019年第28期52卷 7-12页

This article describes a Kernel Principal Component Regressor (KPCR) to identify Auto Regressive eXogenous (ARX) Linear Parmeter Varying (LPV) models. The new method differs from the Least Squares Support Vector Machines (LS-SVM) algorithm in the regularisa-tion of the Least Squares (LS) problem, since the KPCR only keeps the principal components of the Gram matrix while LS-SVM performs the inversion of the same matrix after adding a regularisation factor. Also, in this new approach, the LS problem is formulated in the primal space but it ends up being solved in the dual space overcoming the fact that the regressors are unknown. The method is assessed and compared to the LS-SVM approach through 2 Monte Carlo (MC) experiments. Every experiment consists of 100 runs of a simulated example, and a different noise level is used in each experiment, with Signal to Noise Ratios of 20db and 10db, respectively. The obtained results are twofold, first the performance of the new method is comparable to the LS-SVM, for both noise levels, although the required calculations are much faster for the KPCR. Second, this new method reduces the dimension of the primal space and may convey a way of knowing the number of basis functions required in the Kernel. Furthermore, having a structure very similar to LS-SVM makes it possible to use this method in other types of models, e.g. the LPV state-space model identification.

关键词： System Identification LPV systems Arx Kernel Kernel Regression Least squares Principal Components Least Squares Support Vector Machines

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From localized to propagating surface plasmon resonances in Au nanoparticle-coated optical fiber sensors and its implications in biosensing

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Photonics Research 2024年第10期12卷 2166-2177页

作者： PAULO S.S.DOS SANTOS JOÃO P.MENDES JORGE PÉREZ-JUSTE I.PASTORIZA-SANTOS JOSÉM.M.M.DE ALMEIDA LUÍS C.C.COELHO INESC TEC–Institute of Systems and Computer Engineering Technology and Scienceand Department of PhysicsFaculty of SciencesUniversity of PortoRua do Campo Alegre4169-007 PortoPortugal Faculty of Engineering University of PortoRua Dr.Roberto Frias4200-465 PortoPortugal CINBIO Universidade de VigoCampus Universitario LagoasMarcosende36310 VigoSpain SERGAS-UVIGO Galicia Sur Health Research Institute(IIS Galicia Sur)36312 VigoSpain Department of Physics School of Science and TechnologyUniversity of Trás-os-Montes e Alto Douro5001-801 Vila RealPortugal

Nanoparticle-based plasmonic optical fiber sensors can exhibit high sensing performance,in terms of refractive index sensitivities(RISs).However,a comprehensive understanding of the factors governing the RIS in this type of sensor remains limited,with existing reports often overlooking the presence of surface plasmon resonance(SPR)phenomena in nanoparticle(NP)assemblies and attributing high RIS to plasmonic coupling or waveguiding ***,using plasmonic optical fiber sensors based on spherical Au nanoparticles,we investigate the basis of their enhanced RIS,both experimentally and *** bulk behavior of assembled Au NPs on the optical fiber was investigated using an effective medium approximation(EMA),specifically the gradient effective medium approximation(GEMA).Our findings demonstrate that the Au-coated optical fibers can support the localized surface plasmon resonance(LSPR)as well as SPR in particular ***,we found that the nanoparticle sizes and surface coverage dictate which effect takes precedence in determining the RIS of the *** data,in line with numerical simulations,revealed that increasing the Au NP diameter from 20 to 90 nm(15%surface coverage)led to an RIS increase from 135 to 6998 nm/RIU due to a transition from LSPR to SPR ***,increasing the surface coverage of the fiber from 9%to 15%with 90 nm Au nanoparticles resulted in anincrease in RIS from 1297(LSPR)to 6998 nm/RIU(SPR).Hence,we ascribe the exceptional performance of these plasmonic optical fibers primary to SPR effects,as evidenced by the nonlinear RIS *** outstanding RIS of these plasmonic optical fibers was further demonstrated in the detection of thrombin protein,achieving very low limits of *** findings support broader applications of high-performance NP-based plasmonic optical fiber sensors in areas such as biomedical diagnostics,environmental monitoring,and chemical analysis.

关键词： fiber surface fibers

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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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VLSI: systems on a Chip 1

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丛书名： IFIP Advances in Information and Communication technology

1000年

作者： Luis Miguel Silveira Srinivas Devadas Ricardo Reis

ISBN: (数字)9780387354989

ISBN: (纸本)9780792377313;9781475710144

For over three decades now, silicon capacity has steadily been doubling every year and a half with equally staggering improvements continuously being observed in operating speeds. This increase in capacity has allowed for more complex systems to be built on a single silicon chip. Coupled with this functionality increase, speed improvements have fueled tremendous advancements in computing and have enabled new multi-media applications. Such trends, aimed at integrating higher levels of circuit functionality are tightly related to an emphasis on compactness in consumer electronic products and a widespread growth and interest in wireless communications and products. These trends are expected to persist for some time as technology and design methodologies continue to evolve and the era of systems on a Chip has definitely come of age. While technology improvements and spiraling silicon capacity allow designers to pack more functions onto a single piece of silicon, they also highlight a pressing challenge for system designers to keep up with such amazing complexity. To handle higher operating speeds and the constraints of portability and connectivity, new circuit techniques have appeared. Intensive research and progress in EDA tools, design methodologies and techniques is required to empower designers with the ability to make efficient use of the potential offered by this increasing silicon capacity and complexity and to enable them to design, test, verify and build such systems.

关键词： Circuits and systems Theory of Computation Electrical engineering computer-Aided engineering (CAD, CAE) and Design

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EyeQual: Accurate, Explainable, Retinal Image Quality Assessment

EyeQual: Accurate, Explainable, Retinal Image Quality Assess...

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International Conference on Machine Learning and Applications (ICMLA)

作者： Pedro Costa Aurelio Campilho Bryan Hooi Asim Smailagic Kris Kitani Shenghua Liu Christos Faloutsos Adrian Galdran Department of Electrical and Computer Engineering Carnegie Mellon University INESC TEC Porto Faculty of Engineering University of Porto Department of Statistics and Data Science Carnegie Mellon University Robotics Institute Carnegie Mellon University Chinese Academy of Sciences Institute of Computing Technology China School of Computer Science Carnegie Mellon University

Given a retinal image, can we automatically determine whether it is of high quality (suitable for medical diagnosis)? Can we also explain our decision, pinpointing the region or regions that led to our decision? Images from human retinas are vital for the diagnosis of multiple health issues, like hypertension, diabetes, and Alzheimer's; low quality images may force the patient to come back again for a second scanning, wasting time and possibly delaying treatment. However, existing retinal image quality assessment methods are either black boxes without explanations of the results or depend heavily on feature engineering or on complex and error-prone anatomical structures' segmentation. Therefore, we propose EyeQual, that solves exactly this problem. EyeQual is novel, fast for inference, accurate and explainable, pinpointing low-quality regions on the image. We evaluated EyeQual on two real datasets where it achieved 100% accuracy taking just 36 milliseconds for each image.

关键词： Retina Image quality Diabetes Standards Retinopathy Machine learning Graphical models

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Automated Visceral and Subcutaneous Fat Segmentation in Computed Tomography

Automated Visceral and Subcutaneous Fat Segmentation in Comp...

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IEEE International Symposium on Biomedical Imaging

作者： Rui Castro Inês Sousa Fábio Nunes Jennifer Mancio Ricardo Fontes-Carvalho Carlos Ferreira João Pedrosa Faculty of Engineering of the University of Porto (FEUP) Porto Portugal Faculty of Medicine of the University of Porto (FMUP) Porto Portugal Vila Nova de Gaia and Espinho Hospital Center (CHVNGE) Vila Nova de Gaia Portugal Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

Cardiovascular diseases are the leading causes of death worldwide. While there are a number of cardiovascular risk indicators, recent studies have found a connection between cardiovascular risk and the accumulation and characteristics of visceral adipose tissue in the ventral cavity. The quantification of visceral adipose tissue can be easily performed in computed tomography scans but the manual delineation of these structures is a time consuming process subject to variability. This has motivated the development of automatic tools to achieve a faster and more precise solution. This paper explores the use of a U-Net architecture to perform ventral cavity segmentation followed by the use of threshold-based approaches for visceral and subcutaneous adipose tissue segmentation. Experiments with different learning rates, input image sizes and types of loss functions were employed to assess the hyperparameters most suited to this problem. In an external test set, the ventral cavity segmentation model with the best performance achieved a 0.967 Dice Score Coefficient, while the visceral and subcutaneous adipose tissue achieve Dice Score Coefficients of 0.986 and 0.995. Not only are these competitive results when compared to state of the art, the interobserver variability measured in this external dataset was similar to these results confirming the robustness and reliability of the proposed segmentation.

关键词： Image segmentation Computed tomography computer architecture Manuals Biomedical measurement Feature extraction Robustness

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Pruned Sets for Multi-Label Stream Classification without True Labels

Pruned Sets for Multi-Label Stream Classification without Tr...

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International Joint Conference on Neural Networks (IJCNN)

作者： Joel D. Costa Júnior Elaine R. Faria Jonathan A. Silva João Gama Ricardo Cerri Institute for Systems and Computer Engineering Technology and Science (INESC TEC) University of Porto (UP) Porto Portugal Federal University of Uberlândia Uberlândia Brazil Federal University of Mato Grosso do Sul Ponta Porã Brazil Departament of Computer Science (DC) Federal University of São Carlos (UFScar) São Carlos Brazil

In multi-label classification problems an example can be simultaneously classified into more than one class. This is also a challenging task in Data Streams (DS) classification, where unbounded and non-stationary distributed multi-label data contain multiple concepts that drift at different rates and patterns. In addition, the true labels of the examples may never become available and updating classification models in a supervised fashion is unfeasible. In this paper, we propose a Multi-Label Stream Classification (MLSC) method applying a Novelty Detection (ND) procedure task to update the classification model detecting any new patterns in the examples, which differ in some aspects from observed patterns, in an unsupervised fashion without any external feedback. Although ND is suitable for multi-class stream classification, it is still a not well-investigated task for multi-label problems. We improve a initial work proposed in [1] and extended it with a new Pruned Sets (PS) transformation strategy. The experiments showed that our method presents competitive performances over data sets with different concept drifts, and outperform, in some aspects, the baseline methods.

关键词： Training Task analysis Adaptation models Data models Transforms Vegetation Complexity theory

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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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