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5th International Conference on Applications of Optics and Photonics, AOP 2022

作者： Da Silva, P.M. Mendes, J.P. Coelho, L.C.C. De Almeida, J.M.M.M. INESC TEC-Institute for Systems and Computer Engineering Technology and Science Faculty of Sciences University of Porto Rua do Campo Alegre Porto4169-007 Portugal Department of Physics and Astronomy Faculty of Sciences University of Porto Rua do Campo Alegre Porto4169-007 Portugal CIQUP - Chemistry Research Unit Chemistry and Biochemistry Department Faculty of Sciences University of Porto Porto4169-007 Portugal Department of Physics School of Sciences and Technology University of Trás-os-Montes e Alto Douro Vila Real5001-801 Portugal

The use of concrete has been widespread in our society in housing and infrastructure, despite the environmental cost associated with its production. Its decay poses a social, economic, and environmental problem. Currently, the carbonation of cement paste is monitored through the measurement of its pH, with several optical fiber sensors (OFS) have been produced for this purpose. In the current work the focus is, also, on the carbonation monitoring of cement paste through an OFS, but not through pH measurements. Single fiber reflectance spectroscopy, previously employed to measure cement paste durability, is used to monitor the discoloration of cement paste caused by carbonation. As the carbonation front reaches the fiber tip embedded in the cement paste, the signal reflected onto the fiber increases. The accelerated carbonation of two limestone cement paste samples in an atmosphere of 100% CO2 was successfully monitored. The applicability of the sensor for operational use with ambient CO2 was confirmed through the measurement of carbonation at 3% CO2. The cross interference from water ingress and egress was also evaluated, and it didn't hinder the measurements of carbonation. Therefore, a novel OFS capable of measuring cement paste carbonation and durability, was achieved. © Published under licence by IOP Publishing Ltd.

关键词： Carbonation

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Evaluation Metrics for Collaborative Fault Detection and Diagnosis in Cyber-Physical systems

Evaluation Metrics for Collaborative Fault Detection and Dia...

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International Conference on Emerging technologies and Factory Automation (ETFA)

作者： Luis Piardi André Oliveira Pedro Costa Paulo Leitão Research Center in Digitalization and Intelligent Robotics (CeDRI) Instituto Politécnico de Bragança Bragança Portugal Faculty of Engineering University of Porto (FEUP) Porto Portugal Universidade Tecnológica Federal do Paraná (UTFPR) Curitiba-PR Brazil Technology and Science (INESC TEC) Institute for Systems and Computer Engineering Porto Portugal Laboratório Associado para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC) Instituto Politécnico de Bragança Bragança Portugal

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

Cyber-physical systems (CPS) rapidly expand within industrial contexts in a new era of digitalization, processing power, and inter-device communication capabilities. These advancements integrate technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud and edge computing, granting processes and operations a high degree of autonomy. In addition, these interconnections foster collective intelligence arising from information exchange and collaboration between components, often outperforming individual capabilities. This collective intelligence manifests in fault detection and diagnosis (FDD) tasks within CPS, as it significantly improves the flexibility, performance, and scalability. However, the inherent complexity of CPS poses challenges in determining the best configuration of the collaboration parameters, such as when and how to collaborate, wherein incorrect adjustments may lead to decision errors and compromise the system's performance. With this in mind, this paper proposes seven metrics to evaluate collaboration performance for fault detection and diagnosis in multi-agent systems (MAS)-based CPS, evaluating when the collaboration is beneficial or when the collaboration parameters need to be adjusted. The experiments focus on collaborative fault detection in temperature and humidity sensors within warehouse racks, where the proposed evaluation metrics point out the impact of collaboration on the detection task, as well as possible actions to be adopted to improve the agent's performance.

关键词： Measurement Temperature sensors Fault detection System performance Collaboration Cyber-physical systems Collective intelligence Sensors Internet of Things Artificial intelligence

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Differential Refractometric Platform for Reliable Biosensing based on Long-period Gratings and Molecular Imprinting 27

Differential Refractometric Platform for Reliable Biosensing...

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27th International Conference on Optical Fiber Sensors, OFS 2022

作者： Mendes, João P. Coelho, Luís C. C. Pereira, Carlos M. Jorge, Pedro A. S. Chemistry Research Unit of University of Porto Faculty of Sciences University of Porto Porto4169-007 Portugal Faculty of Sciences of University of Porto INESC TEC - Institute for Systems and Computer EngineeringTechnology and Science Porto4169-007 Portugal Departamento de Química E Bioquímica Faculdade de Ciências Universidade do Porto Porto4169-007 Portugal Departmento de Física E Astronomia Faculdade de Ciências Universidade do Porto Porto4169-007 Portugal

ISBN: (纸本)9781957171142

A new (bio)sensing platform based on differential refractometric measurements was developed. The sensing scheme is based on the combination LPFGs/MIP/NIP, involving a dual channel system for real-time compensation of non-specific interactions. The correction system improves the sensor behavior by reducing the response to interferents by 30%. © 2022 The Author(s).

关键词： Effective refractive index Long period gratings Optical standards Sensor performance Sensors Temperature sensors

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Optical Fiber Sensor for the Detection of Decarboxylation Products of Amino Acids 27

Optical Fiber Sensor for the Detection of Decarboxylation Pr...

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27th International Conference on Optical Fiber Sensors, OFS 2022

作者： Vasconcelos, Helena De Almeida, José M. M. M. Mendes, João Dias, Bernardo Jorge, Pedro A. S. Saraiva, Cristina Coelho, Luís C. C. School of Agrarian and Veterinary Sciences University of Trás-os-Montes E Alto Douro Vila Real5001-801 Portugal Faculty of Sciences INESC TEC-Institute for Systems and Computer Engineering University of Porto Technology and Science Porto4169-007 Portugal CIQUP - Chemistry Research Unit Chemistry and Biochemistry Department Faculty of Sciences University of Porto Porto4169-007 Portugal Department of Physics and Astronomy Faculty of Sciences University of Porto Porto4169-007 Portugal Department of Physics School of Science and Technology University of Trás-os-Montes E Alto Douro Vila Real5001-801 Portugal

Long period fiber gratings coated with TiO2 and poly(ethylene-co-vinyl acetate) (PEVA), a polymeric structure permeable biogenic amines found in foodstuff, were used to detect these compounds through the wavelength sh... 详细信息

ISBN: (纸本)9781957171142

关键词： Ethylene

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Laser Engraving for 3D Surfaces: A Robotized Application Case Study 16th

Laser Engraving for 3D Surfaces: A Robotized Application Ca...

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16th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2024

作者： Alvarez, Mariano Brancalião, Laiany Carneiro, Jorge Costa, Paulo Coelho, João Paulo Gonçalves, José Instituto Politécnico de Bragança Campus de Santa Apolónia Bragança5300-253 Portugal Instituto Politécnico de Bragança Campus de Santa Apolónia Bragança5300-253 Portugal Faculty of Engineering of the University of Porto Porto4200-465 Portugal University of Léon Campus de Vegazana s/n León24071 Spain GRESTEL – Produtos Cerâmicos S.A. Vagos Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (纸本)9783031817236

One of the industry’s most common applications of lasers is engraving, which is generally performed on flat surfaces. However, there are many situations where the object to be engraved has an unevenly curved geometry. In those cases, the light power density will be different along the surface for a fixed head, leading to a poor engraving result. This work deals with this problem by designing a robotic application capable of detecting variations on the object surface and automatically creating a trajectory to engrave on it correctly. This was made possible through a robotic manipulator, a time-of-flight distance sensor, and a data processing algorithm over the measured data. Obtained results were acquired using a custom-made test rig and validated by delivering consistent engraving results on irregular surface shapes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Robotic assembly

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Deep Learning in Smart Healthcare: A GAN-based Approach for Imbalanced Alzheimer's Disease Classification

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Procedia computer science 2024年 241卷 146-153页

作者： Hina Tufail Abdul Ahad Ira Puspitasari Ibraheem Shayea Paulo Jorge Coelho Ivan Miguel Pires Department of Computer Science University of Management and Technology Sialkot Pakistan Information System Study Program Faculty of Science and Technology Universitas Airlangga School of Software Northwestern Polytechnical University Xian Shaanxi P.R. China Department of Electronics and Communication Engineering Istanbul Technical University(ITU) Turkey 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

Alzheimer's disease (AD) is a type of dementia that leads to memory loss and impairment, which afects patients’ lives badly. It is not curable yet, but its progression can be slowed down if detected at earlier stages. In this research study, we propose a transfer learning-based convolutional neural network (CNN) model to classify magnetic resonance imaging (MRI) into one of four stages of Alzheimer's disease. One of the major limitations of the deep learning-based classification model is the non-availability of healthcare datasets related to AD. The widely used Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset has a major class imbalance issue. We propose a generative adversarial network (GAN) based data augmentation technique to overcome the data imbalance. This promotes the investigation of applying GANs to generate synthetic samples for minority classes in Alzheimer's disease datasets to enhance classification performance. The results show the progression in the overall classification process of AD.

关键词： Alzheimer disease (AD) Deep learning Convolutional Neural Network (CNN) computer-aided diagnosis (CAD)

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Hybrid Recommendation System for Young Football Athletes Customized Training

Hybrid Recommendation System for Young Football Athletes Cu...

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Future of Information and Communication Conference, FICC 2020

作者： Matos, Paulo Rocha, João Gonçalves, Ramiro Santos, Filipe Abreu, David Soares, Hugo Martins, Constantino Computer Science Department Engineering Institute - Polytechnic of Porto Porto Portugal Trás-os-Montes e Alto Douro University Vila Real Portugal GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (纸本)9783030394448

Information and communication technologies (ICTs) are been increasingly used in sports over the past decades, especially in professional football, with the goal of enhancing preparation and improve the athletes’ performance. Training programs, however, are not accessible for young and amateur athletes. Most of the systems available, don’t have learning skills to adjust, develop and find new suggestions for training, specifically designed for each athlete. In this paper we present the Smart Coach architecture and user adaptation model and describe our hybrid recommendation system to help the development of young athletes. It simplifies the relationship between the team’s technical staff leaders and their young athletes, enhancing the counselling of the young person and their development as an athlete. The system allows performance evaluation for young athletes utilizing various measurements. The match information is captured intuitively and adaptively by acquaintances, relatives and staff, using a comfortable smartphone interface. © Springer Nature Switzerland AG 2020.

关键词： Recommender systems

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Compression of Different Time Series Representations in Asphyxia Detection

Compression of Different Time Series Representations in Asph...

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E-Health and Bioengineering Conference (EHB)

作者： Bárbara Silva Maria Ribeiro Teresa S. Henriques Faculty of Engineering University of Porto FEUP Porto Portugal Institute for Systems and Computer Engineering Technology and Science (INESC-TEC) Porto Portugal Computer Science Department Faculty of Sciences University of Porto Porto Portugal Centre for Health Technology and Services Research CINTESIS Faculty of Medicine University of Porto Porto Portugal Portugal and Department of Community Medicine Information and Health Decision Sciences MEDCIDS Faculty of Medicine University of Porto Porto Portugal

ISBN: (数字)9781665485579

ISBN: (纸本)9781665485586

Physiological signals offer a vast amount of information about the well-being of the human system. Understanding the behavior and complexity of these signs is important for accurate assessments and diagnoses. This study focuses on fetal heart rate (FHR) analysis and its potential to detect perinatal asphyxia by analyzing how different representations of the FHR series could aid in asphyxia detection. Additionally, different compression schemes were applied to evaluate the potential of compression as a measure of complexity. For this purpose, text files containing data of the last hour of the FHR before birth were converted into different types of images (Time Series, Time Series with fixed axes, Recurrence Plot and Poincaré Plot). We then applied compression schemes for text (BZIP2 and GZIP) and images (Lempel-Ziv-Welch, DEFLATE, and JPG) in 5, 10, and 30-minute windows. Correlation analysis revealed that similar compressed formats, such as BZIP2/GZIP and TIFF LZW/TIFF DEFLATE/JPG LOSSY/JPG LOSSLESS, showed the highest values and the correlation between uncompressed and compressed formats became increasingly more negative for larger time windows. Mann-Whitney test between groups (with and without asphyxia) revealed that compressed patterned images, such as Recurrence Plots, showed the highest potential in detecting asphyxia. Moreover, we confirm that larger time windows allow for better detection, due to the presence of more detailed patterns. These findings confirmed the potential of time series image representation in detecting fetal conditions, as well as show that the compression of images leads to better results than the compression of text files.

关键词： Image coding Correlation Fetal heart rate Time series analysis Image representation Physiology Asphyxia

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Entropy Analysis of Total Respiratory Time Series for Sepsis Detection

Entropy Analysis of Total Respiratory Time Series for Sepsis...

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E-Health and Bioengineering Conference (EHB)

作者： Hugo Sousa Maria Ribeiro Teresa S. Henriques Faculty of Engineering University of Porto FEUP Porto Portugal Institute for Systems and Computer Engineering Technology and Science (INESC-TEC) Porto Portugal Computer Science Department Faculty of Sciences University of Porto Porto Portugal Centre for Health Technology and Services Research CINTESIS Faculty of Medicine University of Porto Porto Portugal Department of Community Medicine Information and Health Decision Sciences MEDCIDS Faculty of Medicine University of Porto Porto Portugal

ISBN: (数字)9781665485579

ISBN: (纸本)9781665485586

Neonatal sepsis is characterized by the system's extreme response to an infection and persists as one of the biggest life-threatening diseases. The gold standard treatment is administrating an antibiotic, which, unfortunately, is often made too late. The diagnosis should be easier, faster, and achieved through non-invasive methods. Recently, entropy, a non-linear feature, has been applied to different physiological signals to detect diseases having very promising results. In this study, several entropy measures were applied to the breathing cycle duration (TTot) of the respiratory signals for 20 neonates. In total, 18 distinct methods of entropy were initially applied to 30-minute segments. Using Spearman's correlation, it was detected strong correlation similarities between some of the measures. On the other hand, bubble, attention, phase, and spectral entropies were negatively correlated with all the other measures. To detect the presence of Sepsis, the slope of the multiscale entropy index was analyzed. Also, a changing point in the slope was probed, when possible, and then was applied linear regression to two subsets of data, before and after the changing point. Effectively, the Wilcoxon Sign Rank Test showed that the results for the total slope of the Sample, Corrected Conditional, Distribution, Permutation, Fuzzy, Gridded Distribution, Incremental, and Entropy of Entropy were statistically significant to infer that entropy decreases with time. Nonetheless, further work should confirm these results with a larger dataset that includes healthy and pathological neonates.

关键词： Pediatrics Pathology Correlation Time series analysis Sepsis Feature extraction Entropy

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Determination of the spectral dispersion for the heart muscle – a Kramers-Kronig approach

Determination of the spectral dispersion for the heart muscl...

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International Conference on Laser Optics

作者： Luís M. Oliveira Maria R. Pinheiro Hélder P. Oliveira Maria I. Carvalho Valery V. Tuchin Physics Department Rua Dr. António Bernardino de Almeida 431 Polytechnic of Porto School of Engineering Porto Portugal Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Rua Dr. Roberto Frias Porto Portugal Department of Computer Science Rua do Campo Alegre 1021 Faculty of Science Porto University Porto Portugal Faculty of Engineering Rua Dr. Roberto Frias Porto University Porto Portugal Institute of Physics and Science Medical Center Saratov State University 83 Astrakhanskaya str. Saratov Russia Laboratory of Laser Molecular Imaging and Machine Learning Tomsk State University 36 Lenin ave. Tomsk Russia RC “Biotechnology of the Russian Academy of Sciences” 33 Leninsky prospect build 2 A.N. Bach Institute of Biophotonics Moscow Russia

ISBN: (数字)9798350390674

ISBN: (纸本)9798350390681

The refractive index of the pigs heart was measured at wavelengths between 255 and 850 nm to calculate the dispersion. The total transmittance and total reflectance spectra of the pig heart were measured between 200 and 1000 nm to calculate the spectral absorption coefficient. Using Kramers-Kronig relations, the dispersion of the heart was matched to experimental refractive index values.

关键词： Heart Reflectivity Absorption Wavelength measurement Refractive index Measurement by laser beam Muscles

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