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Points of interest in the city of Barcelos in Portugal through augmented reality

Internet of Things and Cyber-Physical systems 2024年第1期4卷 40-48页

作者： Pereira, Miguel Silva, João Carlos Pinheiro, Marisa Carvalho, Sandro Santos, Gilberto Polytechnic Institute of Cávado and Ave Barcelos Portugal 2Ai – Applied Artificial Intelligence Laboratory Barcelos Portugal INESC TEC - Institute for Systems and Computer Engineering Porto Portugal LIACC - Laboratory of Artificial Intelligence and Computer Science Porto Portugal

Barcelos is a historic city in Portugal with many tourist attractions, attracting more and more visitors who come to the city with the aim of exploring it. The main objective of this article is to boost tourism in the city of Barcelos, specifically highlighting tourist, historical and leisure spots, based on the development of a mobile application using augmented reality technologies and geolocation. This application intends to allow the users to know historical points of interest in Barcelos, as well as interact with a certain point. The results of this investigation were evaluated by testing the application by end users, with the aim of identifying whether the application meets their needs, in particular the promotion of tourist and historical points. © 2023

关键词： Augmented reality

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The potential of thermal imaging to assist winemakers in the detection of downy mildew in Vitis vinifera cv Loureiro

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Procedia computer Science 2025年 256卷 78-85页

作者： Fernando Portela Cláudio A. Paredes 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 PROMETHEUS Research Unit in Materials Energy and Environment for Sustainability Escola Superior Agrária Instituto Politécnico de Viana do Castelo (IPVC) 4900-347 Viana do Castelo Portugal Agronomy Department School of Agrarian and Veterinary Sciences UTAD 5000-801 Vila Real Portugal CISAS—Center for Research in Agrifood Systems and Sustainability IPVC 4900-347 Viana do Castelo Portugal Engineering Department School of Science and Technology 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 Institute for Innovation Capacity Building and Sustainability of Agri-Food Production UTAD 5000-801 Vila Real Portugal

Vineyards represent one of the main crop systems of greatest importance in the world economy, both in terms of the value chain of wine production and in its current expression of generating tradable goods. One of the challenges of grape production is grapevine health, which annually forces the winegrowers to incur fixed costs associated with the prevention and/or treatment of pests and diseases, causing an impact on the environment due to the application of phytosanitary products. Among the various diseases affecting grapevines, downy mildew ( Plasmopara viticola ) stands out, which causes negative impacts throughout the phenological cycle, particularly on leaves by affecting the absorption of photosynthetic pigments and consequent chlorophyll production, ultimately influencing grape yield and quality. Traditional methods for detecting vineyard diseases are often insufficient in crop protection, favoring new forms of a more agile decision support with timely responses. Proximal sensing trough optical sensors can assist in early disease detection. In this context, thermal infrared sensors stand out for their ability to capture changes in thermal response of leaves due to changes in grapevine metabolism and photosynthetic production. This study aims to explore the use of thermal infrared imagery to assess the detection of downy mildew by evaluating temperature variations in the surface of grapevine leaves when compared with non-infected leaves in a vineyard plot of the cv. Loureiro. The effects of temporal and spatial variability on the temperature of mildew-infected vine leaves are reported. A temperature variation of 2.71 °C was found within the same leaf when comparing to infected and non-infect areas. As the infection progresses over time, thermal variation tends to increase.

关键词： proximity sensors thermography disease detection precision viticulture agricultural mechanization automation

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A low-cost device-based data approach to Eight Hop Test

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Procedia computer Science 2025年 256卷 1135-1142页

作者： Luís Pimenta Paulo Jorge Coelho Norberto Jorge Gonçalves José Paulo Lousado Carlos Albuquerque Nuno M. Garcia Eftim Zdravevski Petre Lameski Ivan Miguel Pires Escola de Ciências e Tecnologia University of Trás-os-Montes e Alto Douro Vila Real Portugal Polytechnic University of Leiria Leiria Portugal Institute for Systems Engineering and Computers at Coimbra (INESC Coimbra) Coimbra Portugal Research Centre in Digital Services (CISeD) Polytechnic Institute of Viseu Portugal Health Sciences Research Unit: Nursing (UICISA: E) Nursing School of Coimbra (ESEnfC) Coimbra Portugal Higher School of Health Polytechnic Institute of Viseu Viseu Portugal Child Studies Research Center (CIEC) University of Minho Braga Portugal Institute of Biophysics and Biomedical Engineering (IBEB) Faculty of Sciences University of Lisbon Lisbon Portugal Faculty of Computer Science and Engineering University Ss Cyril and Methodius Skopje Macedonia Instituto de Telecomunicações Escola Superior de Tecnologia e Gestão de Águeda Universidade de Aveiro Águeda Portugal

The Eight Hop Test is a physical rehabilitation exercise involving jumping with one leg in a circuit similar to the number eight. This study aims to analyze data related to the performance of the test, relating it to gender and pathologies in the population. A mobile application was implemented to acquire accelerometer data, which was then analyzed using various artificial intelligence methods. The study found reliable accuracy in identifying participants’ gender (60%) and specific pathologies (50%), suggesting that mobile sensors can effectively support medical evaluations. Neural Network showed the highest accuracy for multivariate data, while the k-Nearest Neighbor was most effective for binary classifications. The mobile device-based method helps healthcare professionals measure physical strength evolution in lower limb injuries and predicts pathologies with near-100% accuracy using machine learning methods. Future research will explore more individuals and data to improve healthcare treatments and explore new techniques and analyses.

关键词： Eight Hop Test machine learning accelerometer diseases gender

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Concepturealize™: a new contribution to generate real-needs-focussed, user-centred, lean business models

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Journal of Innovation and Entrepreneurship 2022年第1期11卷 1-33页

作者： Allen, Graeme Joseph Centre for Innovation Technology and Entrepreneurship Institute for Systems and Computer Engineering Technology and Science (INESC TEC) R. Dr. Roberto Frias Porto Portugal

It is widely accepted that somewhere in the region of 90–95% of startups fail. It is often suggested that the majority of unsuccessful startups either failed to identify a viable idea, or they failed to execute the idea effectively enough to get to market before running out of cash. Two approaches stand out as being particularly well-suited to addressing these problems: Design Thinking and Lean Startup, respectively. This paper presents the Concepturealize™ methodology that cross-applies Design Thinking and Lean Startup as a single iterative process and that enables the entrepreneur to generate real-needs-focussed, user-centred, lean business models. Existing literature reveals a need for further exploration of cross-application of Design Thinking and Lean Startup (and other related methodologies) in the areas of business model development and innovation. This work answers the research question by review of prior attempts to combine Design Thinking and Lean Startup and presenting the Concepturealize™ model that cross-applies Design Thinking and Lean Startup in a single iterative methodology and that enables the practitioner to generate real-needs-focussed, user-centred, lean business models. By following this new process model correctly, a practitioner will be guided to uncover a viable way to create value, develop a deep understanding of the value proposition, the target customers and how to reach and serve them, together with the expected revenue and costs, all needed to properly formulate the business model. Finally, the practitioner may use the Concepturealize™ model to retest the problem–solution fit and understand how the customers perception of value has altered, each time a new product or new features are launched, looking to continually add value at each cycle. Whilst prior research has explored how organisations may make use of both DT and LS, it has failed to demonstrate how they may be used in parallel, throughout the entire business model development pr

关键词： Business model design Customer development Design Thinking Entrepreneurship Innovation Innovation management Lean Startup Value proposition

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A Machine Learning Approach for Predicting Microsatellite Instability using RNA-seq

A Machine Learning Approach for Predicting Microsatellite In...

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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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Interdependence between transportation system and power distribution system: a comprehensive review on models and applications

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Journal of Modern Power systems and Clean Energy 2019年第3期7卷 433-448页

作者： Wei WEI Danman WU Qiuwei WU Miadreza SHAFIE-KHAH Joao PSCATALAO State Key Laboratory of Power System Department ofElectrical EngineeringTsinghua UniversityBeijingChina Department of Electrical Engineering Technical Universityof DenmarkCopenhagenDenmark School of Technology and Innovations University of VaasaVaasaFinland Institute for Systems and Computer Engineering Technologyand Science(INESC TEC)PortoPortugal Faculty of Engineering University of PortoPortoPortugal

The rapidly increasing penetration of electric vehicles(EVs) in modern metropolises has been witnessed during the past decade, inspired by financial subsidies as well as public awareness of climate change and environment pro-tection. Integrating charging facilities, especially highpower chargers in fast charging stations, into power distribution systems remarkably alters the traditional load flow pattern, and thus imposes great challenges on the operation of distribution network in which controllable resources are rare. On the other hand, provided with appropriate incentives, the energy storage capability of electric vehicle offers a unique opportunity to facilitate the integration of distributed wind and solar power generation into power distribution system. The above trends call for thorough investigation and research on the interdependence between transportation system and power distribution system. This paper conducts a comprehensive survey on this line of research. The basic models of transportation system and power distribution system are introduced,especially the user equilibrium model, which describes the vehicular flow on each road segment and is not familiar to the readers in power system community. The modelling of interdependence across the two systems is *** into account such interdependence, applications ranging from long-term planning to short-term operation are reviewed with emphasis on comparing the description of traffic-power interdependence. Finally, an outlook of prospective directions and key technologies in future research is summarized.

关键词： Charging station Electric vehicle(EV) Interdependence Power flow Power distribution system Transportation system User equilibrium

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Context-Based Cultural Visits 11th

Context-Based Cultural Visits

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11th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2020 and 10th World Congress on Information and Communication technologies, WICT 2020

作者： Assis, Mariana Andrade, Maria Teresa Viana, Paula Faculty of Engineering University of Porto Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal Polytechnic of Porto School of Engineering Porto Portugal

ISBN: (纸本)9783030736026

Mobile Augmented Reality (MAR) systems have emerged and greatly evolved in the last two decades. They have application in many domains, most notably in the field of Cultural Heritage (CH) and tourism, where people tend to rely on smartphones when visiting a new city to obtain additional information on the city landmarks. Expectations are that they obtain precise and tailored information to the visitor’s needs. Therefore, researchers started to investigate innovative approaches for presenting and suggesting digital content related to cultural and historical places. This article presents a novel MAR application, NearHeritage, which uses emergent technologies to assist visitors in finding and exploring Cultural Heritage. The research focuses on combining the use of context-awareness with Augmented Reality (AR). By sensing the context surrounding the user, the NearHeritage app discloses not only the list of nearby points-of-interest (POI) but also detailed information about the POIs in the form of AR content adapted to the user context. The solution presented uses built-in sensors of Android devices and takes advantage of various APIs (Foursquare API, Google Maps API and IntelContextSensing SDK) to retrieve information about the landmarks and the visitor context. Results from initial experimentation indicate that the concept of a context-aware MAR application can improve the user experience in discovering and learning more about Cultural Heritage, creating an interactive, enjoyable and unforgettable adventure. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Augmented reality

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Ramp analysis of the Portuguese net load under different decarbonization scenario

Ramp analysis of the Portuguese net load under different dec...

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2019 IEEE Milan Powertech, Powertech 2019

作者： Magalhaes, Jorge Dias De Villar, Jose Faculdade de Engenharia da Universidade Do Porto Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (纸本)9781538647226

European energy strategy towards decarbonization, and its practical implementations in the different EU countries, will imply a continuous increase of variable (non-dispatchable) renewable energy (VRE), like wind and solar PV generation. This increasing VRE along with the progressive closing of current greenhouse gas (GHG) emitting plants, will decrease the net demand (inflexible demand minus non-dispatchable generation), reducing the amount of dispatchable generation needed to face both low VRE periods and larger net demand ramps. These problems need to be assessed to anticipate possible mismatches between net demand values and ramps, and the available resources with generation and ramping capabilities, so that the security and quality of supply is guaranteed. In case of expected risk, regulatory mechanisms, such as new market clearing rules or incentives to new flexibility sources or to new generation and storage technologies, could be required. This paper looks at the possible evolution of the Portuguese power system focusing on the net demand ramp problem. The historical and expected evolution of the hourly ramps of the net demand are analyzed considering different scenarios of high wind and solar PV penetration, according to different degrees of convergence to the EU energy strategic objectives. © 2019 IEEE.

关键词： Greenhouse gases

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Improving power system dynamical behavior through dimensioning and location of STATCOMs in systems with large scale wind generation

Improving power system dynamical behavior through dimensioni...

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IEEE Lausanne Powertech

作者： Marques, Pedro J. Franco Lopes, Joao A. Pecas School of Technology and Management Polytechnic Institute of Leiria INESC Porto Institute for Systems and Computer Engineering of Porto Faculty of Engineering University of Porto

ISBN: (纸本)9781424421893

In this work a methodology is developed of optimization applying to the Simulated Annealing Algorithm, which involves the dimensioning and the localization of STATCMOs at the different buses of the Portuguese grid where there is injection of the wind generation considering the 2009 scenario. With this methodology it is hoped to obtain reactive energy support and consequently improving the voltage values at situations of abnormal grid functioning, as for exemple, at the sequence of a short-circuit In this way it is supplied, to the wind generators capacity of "ride through fault" capability so that the Grid Codes are fulfilled defined by the transmission system operators. The results show how important can be STACOMS contributions in case of failure. Avoiding in many situations that the wind generators protections act due to the regulation of the relays of under-voltage, contributing in this way for the improvement of the dynamic behavior of the whole grid.

关键词： dynamic stability FACTS Grid Codes wind energy

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EPSO enhanced by adaptive scaling and sub-swarms 20

EPSO enhanced by adaptive scaling and sub-swarms

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20th International Conference on Intelligent System Application to Power systems, ISAP 2019

作者： Miranda, Vladimiro Vigo, Joao Carvalho, Leonel Marcelino, Carolina Wanner, Elizabeth INESC TEC FEUP University of Porto Faculty of Engineering Porto Portugal INESC TEC Institute for Systems and Computer Engineering Porto Portugal UFRJ - Federal University of Rio de Janeiro Rio de Janeiro Brazil Intelligent Systems Laboratory CEFET-MG Department of Computing Belo Horizonte Brazil

ISBN: (纸本)9781728131924

This paper reports the positive results derived from adopting two variants for the EPSO - Evolutionary Particle Swarm Optimization method: variable's re-scaling and sub-swarms. Sub-swarms launched from the main swarm can be applied to intensify the search in promising regions of the space. Alternatively, the information regarding the dispersion of the particles along the search space can be used to create local landscapes with a spherical/ellipsoid form in an attempt to take advantage of the excellent convergence properties of metaheuristics for spherically-shaped optimization problems. The net improvement in reducing computing effort is observed in several unconstrained optimization problems and verified with ANOVA. © 2019 IEEE.

关键词： Analysis of variance (ANOVA)

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