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

作者： Dos Santos, Paulo S. S. Mendes, João Dias, B. Pastoriza-Santos, I. De Almeida, J.M.M.M. Coelho, Luís C. C. INESC TEC - Institute for Systems and Computer Engineering Technology and Science Rua Dr. Alberto Frias Porto4200-465 Portugal FEUP University of Porto R. Dr. Roberto Frias Porto4200-465 Portugal FCUP University of Porto Rua do Campo Alegre Porto4169-007 Portugal CIQUP - Chemistry Research Unit FCUP Univ. of Porto Porto4169-007 Portugal CINBIO Univ. de Vigo Campus Univ. Lagoas Marcosende Vigo36310 Spain SERGAS-UVIGO Galicia sur Health Research Institute Vigo36312 Spain Dep. of Physics Univ. of Trás-os-Montes e Alto Douro Vila Real5001-801 Portugal

New paths to increase the sensing performance of plasmonic sensors have been reported in recent years. There are several methodologies to achieve such purpose, namely by optimizing the nanostructure, nanomaterial and even the sensing platform. Recently the use nanoparticles over plasmonic thin films have been reported and shown sensitivity enhancement, when compared to a bare thin film. Nevertheless, a nanomaterial combination between NP and thin film has not been studied. In this work it was studied such plasmonic materials in order to optimize not only refractometric sensitivity but also decrease the resultant plasmonic band width. It was found that for Au, Ag and Cu thin films, the deposition of plasmonic nanoparticles resulted in an overall refractometric sensitivity and figure of merit (FOM) increase. The larger FOM increase was obtained for the Ag thin film, from 42 to 162 when coupled to Si nanoparticles. The greater sensitivity increase was achieved for a Cu thin film coupled to a Si nanoparticle, with an increase from 1745 to 3230 nm/RIU. © Published under licence by IOP Publishing Ltd.

关键词： Plasmonics

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Satellite-based InSAR Geodesy and Collocation with GNSS

Satellite-based InSAR Geodesy and Collocation with GNSS

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2023 International Conference on ENTERprise Information systems, CENTERIS 2023 - International Conference on Project MANagement, ProjMAN 2023 - International Conference on Health and Social Care Information systems and technologies, HCist 2023

作者： Papco, Juraj Bakon, Matus Kubica, Lukas Belicova, Gabika Droscak, Branislav Ferianc, Martin Rovnak, Martin Ruiz, Antonio M. Sousa, Joaquim J. Department of Theoretical Geodesy and Geoinformatics Faculty of Civil Engineering Slovak University of Technology in Bratislava Radlinskeho 11 Bratislava813 62 Slovakia Insar.sk Ltd Konstantinova 3 Presov080 01 Slovakia Department of Finance Accounting and Mathematical Methods Faculty of Management and Business University of Presov Konstantinova 16 Presov080 01 Slovakia Department of Engineering School of Sciences and Technology Universidade de Tras-os-Montes e Alto Douro Quinta de Prados Vila Real5000-801 Portugal Geodetic and Cartographic Institute Bratislava Chlumeckeho 4 Bratislava827 45 Slovakia Department of Cartographic Geodetic and Photogrammetry Engineering University of Jaen Campus Las Lagunillas s/n Jaen23071 Spain University of Jaen Campus Las Lagunillas s/n Jaen23071 Spain Research Group RNM-282 Microgeodesia Jaen University of Jaen Campus Las Lagunillas s/n Jaen23071 Spain Institute for Systems and Computer Engineering Technology and Science INESC-TEC Porto4200-465 Portugal

Satellite radar interferometry (InSAR) enables large-scale monitoring of displacement with precision akin to ground-based methods. Using measurements from Sentinel-1 satellites, persistent scatterer networks cover areas up to hundreds of kilometers in size. One of the current challenges for the InSAR community is to tie these networks into a current and country-specific global terrestrial reference system through collocation with other geodetic techniques, especially Global Navigation Satellite systems (GNSS). In this work, an optimal procedure for assessing a suitable collocation properties for InSAR and GNSS techniques is discussed, along with the proposal for the methodology to determine the spatial relationship between the reference points of both techniques. The study analyzes three collocation stations in Slovakia using their radar backscattering characteristics. InSAR achieves an intrinsic accuracy of up to 1 mm but has uncertainties several orders of magnitude larger in 3D space. A collocation of InSAR measurements with GNSS can tie relative InSAR displacement estimates to an absolute reference frame. © 2024 The Author(s). Published by Elsevier B.V.

关键词： Geodesy

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Crowd and Urban Storytelling: Evaluating a Collective Intelligence Model to Support Discussions about the City

Crowd and Urban Storytelling: Evaluating a Collective Intell...

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International Conference on computer Supported Cooperative Work in Design

作者： Ramon Chaves Claudia Motta Antó nio Correia Hugo Paredes Bá rbara Caetano Jano Moreira De Souza Daniel Schneider Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil T&#x00E9 rcio Pacitti Institute of Computer Applications and Research (NCE) Federal University of Rio de Janeiro Brazil UTAD INESC TEC and University of Tr&#x00E1 s-os-Montes e Alto Douro Vila Real Portugal Systems Engineering and Computer Science Program (PESC/COPPE/UFRJ) Rio de Janeiro Brazil

In recent years, digital technologies have been used to support discussions about the city and also to involve citizens in participatory public processes. However, despite the widespread use of social media platforms, old issues related to engagement and participation still persist in digital initiatives. The main goal of this study is to carry out an empirical evaluation of a collective intelligence model that combines crowdsourcing and social storytelling to support discussions about the city from a bottom-up perspective. Within a design science research approach we designed a participatory action study that was carried out through a workshop with students and professionals from different areas, such as architecture, urban design and information technology. As a result, we were able to assess whether the collective intelligence model was acceptable to the participants by investigating whether the behavioral assumptions were valid and thus outlining some contributions to the field of urban informatics.

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A novel portable, low-cost kinect-based system for motion analysis in neurological diseases

A novel portable, low-cost kinect-based system for motion an...

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

作者： João Paulo Silva Cunha Ana Patricia Rocha Hugo Miguel Pereira Choupina José Maria Fernandes Maria José Rosas Rui Vaz Felix Achilles Anna Mira Loesch Christian Vollmar Elisabeth Hartl Soheyl Noachtar Institute for Systems Engineering and Computers - Technology and Science (INESC TEC) and Faculty of Engineering (FEUP) Universidade do Porto Porto Porto PT Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro Aveiro Portugal Movement Disorders Group São João University Hospital Porto Portugal Neurosciences Unit University of Porto Porto Portugal Epilepsy Center University of Munich Munich Germany Chair for Computer Aided Medical Procedures Technische Universität München Munich Germany

Many neurological diseases, such as Parkinson's disease and epilepsy, can significantly impair the motor function of the patients, often leading to a dramatic loss of their quality of life. Human motion analysis is regarded as fundamental towards an early diagnosis and enhanced follow-up in this type of diseases. In this contribution, we present NeuroKinect, a novel system designed for motion analysis in neurological diseases. This system includes an RGB-D camera (Microsoft Kinect) and two integrated software applications, KiT (KinecTracker) and KiMA (Kinect Motion Analyzer). The applications enable the preview, acquisition, review and management of data provided by the sensor, which are then used for motion analysis of relevant events. NeuroKinect is a portable, low-cost and markerless solution that is suitable for use in the clinical environment. Furthermore, it is able to provide quantitative support to the clinical assessment of different neurological diseases with movement impairments, as demonstrated by its usage in two different clinical routine scenarios: gait analysis in Parkinson's disease and seizure semiology analysis in epilepsy.

关键词： Three-dimensional displays Epilepsy Cameras Monitoring Two dimensional displays Data acquisition

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Crowdsourcing Urban Narratives for a Post-Pandemic World

Crowdsourcing Urban Narratives for a Post-Pandemic World

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International Conference on computer Supported Cooperative Work in Design

作者： Ramon Chaves Daniel Schneider Claudia Motta António Correia Hugo Paredes Bárbara Caetano Jano Moreira de Souza Postgraduate Program in Informatics PPGI/UFRJ Rio de Janeiro Brazil Tércio Pacitti Institute of Computer Applications and Research (NCE) Federal University of Rio de Janeiro Brazil INESC TEC and University of Trás-os-Montes e Alto Douro UTAD Vila Real Portugal Systems Engineering and Computer Science Program (PESC/COPPE/UFRJ) Rio de Janeiro Brazil

ISBN: (纸本)9781728165974;9781728165981

Over the past decades, the use of digital technologies to support participatory urban planning and design has been repeatedly described as a crucial instrument and critical building block for tackling historical problems of participation in such processes. Social media, e-participation platforms, and crowdsourcing applications are examples of technologies that can involve citizens in decision-making processes and thus leverage the benefits of collective intelligence. However, despite the extensive use of social media platforms, old problems related to engagement and participation still occur in digital initiatives. Successful collaboration examples between citizens, policymakers, and strategic stakeholders are still scarce based on online social practices. This study aims to introduce a collective intelligence model, which combines crowdsourcing and social storytelling to support participatory urban planning and design from a bottom-up perspective. The paper concludes by discussing a scenario where citizens can engage in mapping, taking photos, sending ideas, or even creating collective stories about their university issues in a post-pandemic future.

关键词： Crowdsourcing Social networking (online) Smart cities Instruments Urban planning Collective intelligence Tools

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On the Adequacy of Tabu Search for Global Robot Path Planning Problem in Grid Environments

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Procedia computer science 2014年 32卷 604-613页

作者： Imen Châari Anis Koubâa Hachemi Bennaceur Adel Ammar Sahar Trigui Mohamed Tounsi Elhadi Shakshuki Habib Youssef University of Manouba ENSI Manouba Tunisia Cooperative Intelligent Networked Systems (COINS) Research Group Riadh Saudi Arabia Prince Sultan University College of Computer and Information Sciences Riadh Saudi Arabia CISTER/INESC-TEC ISEP Polytechnic Institute of Porto Porto Portugal Al-Imam Mohamed bin Saud University Research Unit of Sciences and Technology Riadh Saudi Arabia Acadia University Jodrey School of Computer Science Canada University of Sousse PRINCE Research Unit Sousse Tunisia

This paper investigates the capabilities of tabu search for solving the global path planning problem in grid maps. Accordingly, a tabu search system model is designed and a tabu search planner algorithm for solving the path planning problem is proposed. A comprehensive simulation study is conducted using the proposed model and algorithm, in terms of solution quality and execution time. A comparison between our results with those of A* and genetic algorithms (GA) is presented for small, medium and large-scale grid maps. Simulation results show that the tabu search planner is able to find the optimal solution for small scale environments. However, for large scale maps, it provides near-optimal solutions with small gap while ensuring shorter execution times as compared to the A* Algorithm. A discussion about the advantages and limitations of TS for solving a path planning problem is also presented.

关键词： Mobile robots Global path planning Tabu search.

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The impact of ground control points for the 3D study of grapevines in steep slope vineyards

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Procedia computer science 2024年 239卷 2301-2307页

作者： Oiliam Stolarski José Martinho Lourenço Emanuel Peres Raul Morais Joaquim J. Sousa Luís Pádua Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB) University of Trás-os-Montes e Alto Douro (UTAD) 5000-801 Vila Real Portugal Departamento de Geologia e Pólo do Centro de Geociências (CGeo) UTAD 5000-801 Vila Real Portugal Engineering Department School of Science and Technology UTAD 5000-801 Vila Real Portugal Institute for Innovation Capacity Building and Sustainability of Agri-Food Production UTAD 5000-801 Vila Real Portugal Centre for Robotics in Industry and Intelligent Systems (CRIIS) INESC Technology and Science (INESC-TEC) 4200-465 Porto Portugal

Data acquisition through unmanned aerial vehicles (UAVs) has become integral to the study of agricultural crops, especially for multitemporal analyses spanning the entire growing season. Ensuring accurate data alignment is essential not only to maintain data quality but also to leverage the continuous monitoring of the same area over time. Ground control points (GCPs) play a critical role in geolocating UAV data. Their absence can lead to planimetric and altimetric discrepancies, which are particularly impactful in 3D plant-level studies. This study is centered on the examination of misalignment effects in a challenging steep slope vineyard environment and their impacts on 3D alignment accuracy. For this purpose, a UAV equipped with an RGB camera to capture imagery at two distinct flight heights. Various scenarios, each involving a different number of GCPs, were assessed to evaluate their impact on alignment precision. The methodology employed holds potential for assessing geolocation accuracy in complex 3D environments, providing value insights for vineyard monitoring.

关键词： unmanned aerial vehicles photogrammetric processing point clouds geolocation precision viticulture

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Federated Machine Learning In 5G Smart Healthcare: A Security Perspective Review

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Procedia computer science 2023年 224卷 580-586页

作者： Hira Akhtar Butt Abdul Ahad Muhammad Wasim Ibraheem Shayea Paulo Jorge Coelho Ivan Miguel Pires Nuno M. Garcia Department of Computer Science University of Management and Technology Sialkot 51040 Pakistan Department of Electronics and Communication Engineering Istanbul Technical University (ITU) 34467 Turkey School of Technology and Management Polytechnic of Leiria Leiria Portugal Institute for Systems Engineering and Computers at Coimbra (INESC Coimbra) Coimbra Portugal Instituto de Telecomunicações Universidade da Beira Interior Covilhã Portugal Polytechnic of Santarém Santarém Portugal Universidade de Lisboa Lisbon Portugal

Federated learning (also known as collaborative learning) is a decentralized approach to training machine learning models. In 5G smart healthcare, federated machine learning (FML) can potentially improve patient care by offering improved diagnosis, prognosis, and therapy models. Nevertheless, a significant worry regarding FML is its lack of security. Within the context of 5G smart healthcare, this review paper looks at FML from a security point of view, discussing the benefits and risks of using FML in 5G smart healthcare and the possible solutions to these risks. The issues of privacy, adversarial attacks, communication security, and malevolent clients are brought up in the discussion on security challenges. Differential privacy, secure aggregation and training, adversarial training, secure communication, client authentication, and model pruning are some of the solutions that have been suggested. We will be able to protect the privacy of patient data in FML if we take the necessary steps to address these security problems.

关键词： Federated machine learning Healthcare 5G Security

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Using data mining techniques to classify energy demand

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International Journal of Power and Energy systems 1999年第2期19卷 168-172页

作者： Rodriguez-Ortiz, G. Fernandez-Espinosa, V. Ramos-Niembro, G. Mejia-Lavalle, M. Information Systems Department Electrical Research Institute P.O. Box 475 Cuernavaca Mor 62000 Mexico Energy Savings Department Electrical Research Institute P.O. Box 475 Cuernavaca Mor 62000 Mexico Massachusetts Inst. of Technology University of California Los Angeles CA United States Information Systems Department Inst. de Investigaciones Electricas Mexico Mexico Computer Science Department Univ. of the Americas in Cholula Puebla Mexico Monterrey Tec Information Systems Department Electrical Research Institute Cuernavaca Mexico Monterrey Institute of Technology University of the Americas Electrical Energy Use Unit Grenoble Tec France Natl. Reserchers Systems in Mexico National Engineering Academy

Demand-side management studies include such goals as the reduction of the maximum electrical energy demand and the demand strategic growing that may lead to specific actions such as the rates adequation or the energy resources conservation or saving. To support these strategic decisions it is necessary to have typical models of customer consumption behavior. A sample of 112 monthly consumption files of selected energy users was used to classify customers using a data mining technique based on an ART (Adaptive Resonance Theory) algorithm modified with euclidean distance measure. Each file contains one load curve per day and each curve consists of 96 consumption values (Kwh) - one for each 15 minute interval. The algorithm gives results very similar to those obtained by iteratively using a combination of traditional approaches of statistics and visualization. However, with the mining algorithm, the time invested in getting the results is in the order of minutes, as opposed to hours with the traditional approaches. The paper will describe in detail the methodology, algorithm, and software system used to classify energy customers.

关键词： Electric load management

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International Conference on technology and Innovation in Sports, Health and Wellbeing (TISHW) Vila Real, Portugal. 01-03 December 2016 Abstracts

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BMC SPORTS science MEDICINE AND REHABILITATION 2017年第SUPPL 1期9卷 5-5页

作者： [Anonymous] GAIA Association of Electronic and Information Technologies in the Basque Country Bilbao Spain Universidade de Trás-os-Montes e Alto Douro Vila Real Portugal INESC TEC and Universidade de Trás-os-Montes e Alto Douro Vila Real Portugal Vienna University of Technology Vienna Austria motion3D GmbH Vienna Austria Department of Psychology Masaryk University Faculty of Arts Brno Czech Republic Universidade Nova de Lisboa NOVA IMS Lisboa Portugal NOVA IMS Lisboa Portugal Department of Sport Sciences and CIDESD University of Beira Interior Covilhã Portugal Department of Sport Sciences University of Beira Interior and Research Centre in Sports Sciences Health Sciences and Human Development Covilhã Portugal Department of Sport Sciences University of Beira Interior Research Centre in Sports Sciences Health Sciences and Human Development Covilhã Portugal INESC TEC and University of Trás-os-Montes and Alto Douro Vila Real Portugal Digital Sports Group Pattern Recognition Lab Department of Computer Science Friedrich-Alexander University Erlangen-Nuremberg (FAU) Erlangen Germany Institute for Factory Automation and Production Systems Friedrich-Alexander University Erlangen-Nuremberg (FAU) Erlangen Germany Fisio Lógic Centro de Fisioterapia Lisboa Portugal Faculdade de Motricidade Humana Universidade de Lisboa Laboratório de Comportamento Motor Estrada da Costa 1499-002 Cruz Quebrada Portugal Universidade de Trás-os-Montes e Alto Douro (UTAD) Vila Real Portugal Universidade de Trás-os-Montes e Alto Douro (UTAD) and Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência (INESC TEC) Vila Real Portugal INESC TEC and University of Trás-os-Montes e Alto Douro Vila Real Portugal

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