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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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A logic-based flexibility services tool to support a rich renewable distribution network operation

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Sustainable Energy, Grids and Networks 2025年 43卷

作者： Bruno Canizes Fábio Castro Vitor Silveira Zita Vale Polytechnic of Porto R. Dr. António Bernardino de Almeida 431 Porto 4200-072 Portugal LASI – Intelligent Systems Associate Laboratory 431 Porto 4200-072 Portugal GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Porto 4200-072 Portugal

In recent years, the low-voltage power distribution networks and overall power systems have been undergoing substantial transformations. What were once mere innovation trends are now solidifying into the new norm, driven by advancements in technology and the decreasing costs of manufacturing. Moreover, the role of distribution system operators has been elevated with the widespread deployment of smart meters, coupled with a growing emphasis on engaging citizens as pivotal contributors in shaping the future of energy markets and system operations. This evolving topic underscores the importance of devising innovative approaches to explore potential mechanisms for offering additional services within distribution networks, particularly at low-voltage levels. This paper presents a novel logic-based heuristic approach aimed at tackling voltage and congestion challenges in low-voltage distribution networks. The approach revolves around bolstering the involvement of small-scale users in demand response initiatives and enhancing the flexibility of dispatchable distributed renewable energy sources to serve as flexibility services. To showcase the efficacy of the proposed model, a case study was conducted on a 236-bus low-voltage distribution network, chosen to reflect real-world conditions. The results demonstrate a substantial improvement in voltage profiles and a noteworthy reduction in congestion levels, when comparing the scenarios pre- versus post-optimization, and flexibility versus no flexibility, validating the effectiveness of the approach.

关键词： Congestion management Demand flexibility Dispatchable renewable generation flexibility Low-voltage distribution network Voltage profile

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Improving the lifestyle behavior of type 2 diabetes mellitus patients using a mobile application

Improving the lifestyle behavior of type 2 diabetes mellitus...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Andreia Pinto João Viana Diogo Martinho Vítor Crista José Miguel Diniz Joana Reis João Matos David Greer Goreti Marreiros Alberto Freitas Department of Community Medicine Information and Health Decision Sciences (MEDCIDS) Faculty of Medicine Center for Health Technology and Services Research (CINTESIS) University of Porto Porto Portugal Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) Institute of Engineering Polytechnic of Porto Porto Portugal Health Data Science PhD Program Faculty of Medicine Center for Health Technology and Services Research (CINTESIS) University of Porto Lisboa Portugal CLOO - Behavioral Insights Unit Faculty of Psychology CICPSI - Research Center for Psychological Science University of Lisbon Lisboa Portugal Behavioral Insights Unit CLOO Porto Portugal Behavioral Insights Unit CLOO Lisboa Portugal

ISBN: (数字)9781665497923

ISBN: (纸本)9781665497930

Type 2 diabetes is an increasingly prevalent disease and patients do not always manage the disease properly. Therefore, creating tools that help diabetics self-manage their condition over time is of the utmost importance. Technological tools that include features meeting this population's needs, with an integrated personalized feedback system, in an environment of gamified incentives, may be the way for developing a sustained app's usage. This work aims to present a still in development, novel approach to managing diabetes type 2 with a focus on data analysis from user-inputs, gamification, and personalized coaching, with an accessible user interface. Thus, we will present some functionalities, in particular the theoretical and practical concept that is behind this development, namely the Transtheoretical model of behavior change to create different profiles, to provide customized feedback according to the user's behavioral stage, and also to ascertain if it induces any improvement at the behavioral level.

关键词： Computers Data analysis Computational modeling User interfaces Diabetes Behavioral sciences Mobile applications

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A context-awareness approach to tourism and heritage routes generation 9th

A context-awareness approach to tourism and heritage routes ...

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9th International Symposium on Ambient Intelligence, ISAmI 2018

作者： Ramos, Carlos Marreiros, Goreti Martins, Constantino Faria, Luiz Conceição, Luís Santos, Joss Ferreira, Luís Mesquita, Rodrigo Lima, Lucas Schwantes GECAD - Research Group on Engineering and Intelligent Computing for Innovation and Development Polytechnic of Porto Porto Portugal IFSC - Federal Institute of Santa Catarina FlorianópolisSanta Catarina Brazil

ISBN: (纸本)9783030017453

The aims of the TheRoute (Tourism and Heritage Routes including Ambient Intelligence with Visitants’ Profile Adaptation and Context Awareness) project is to conduct studies, research and experimentation around the challenge of automatic generation of routes for visitors. The suggested routes fit the profile of visitors and groups of visitors, including aspects like emotion, mood and personality, and be aware of the context (e.g. weather, security). TheRoute is developed according the Ambient Intelligence perspective. At this point of the project execution we have already developed the full system architecture as a System of Systems approach according to an Ambient Intelligence perspective, to allow the best possible performance in the system utilization for the final user. intelligent route generation uses user preferences for the categories of points of interest, as well as their personality traits. © Springer Nature Switzerland AG 2019.

关键词： Ambient intelligence

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AIRDOC: Smart mobile application for individualized support and monitoring of respiratory function and sounds of patients with chronic obstructive disease 12

AIRDOC: Smart mobile application for individualized support ...

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12th IADIS International Conference e-Health 2020, EH 2020, Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020

作者： Almeida, Rute Jácome, Cristina Martinho, Diogo Vieira-Marques, Pedro Jacinto, Tiago Ferreira, Ana Almeida, Ana Martins, Constantino Pereira, Mariana Pereira, Ana Valente, José Almeida, Rafael Vieira, Ana Amaral, Rita Sá-Sousa, Ana Gonçalves, Ivânia Rodrigues, Pedro Alves-Correia, Magna Freitas, Alberto Marreiros, Goreti Fonseca, Susana Caldas Pereira, Altamiro Costa Fonseca, João Almeida CINTESIS Center for Health Technology and Services Research Faculty of Medicine University of Porto Porto Portugal MEDCIDS Department of Community Medicine Health Information and Decision Faculty of Medicine University of Porto Porto Portugal GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Institute of Engineering Polytechnic of Porto Portugal MEDIDA Serviços em Medicina EDucação Investigação Desenvolvimento e Avaliação LDA Porto Portugal Porto Health School Polytechnic Institute of Porto Porto Portugal

ISBN: (纸本)9789898704184

Current tools for self-management of chronic obstructive respiratory diseases (CORD) are difficult to use, not individualized and requiring laborious analysis by health professionals, discouraging their use in healthcare. There is an opportunity for cost-effective and easy-to-disseminate advanced technological solutions directed to patients and attractive to different stakeholders. The strategy of AIRDOC is to develop and integrate self-monitoring and self-managing tools, making use of the smartphone's presence in everyday life. AIRDOC intends to innovate on: i) technologies for remote monitoring of respiratory function and computerized lung auscultation;ii) coaching solutions, integrating psychoeducation, gamification and disease management support systems;and iii) management of personal health data, focusing on security, privacy and interoperability. It is expected that AIRDOC results will contribute for the innovation in CORD healthcare, with increased patient involvement and empowerment while providing quality prospective information for better clinical decisions, allowing more efficient and sustainable healthcare delivery. © Proceedings of the 12th IADIS International Conference e-Health 2020, EH 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. All rights reserved.

关键词： mHealth

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Defining the Optimal Number of Demand Response Programs and Tariffs Using Clustering Methods

Defining the Optimal Number of Demand Response Programs and ...

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International Conference on intelligent Systems Applications to Power Systems (ISAP)

作者： Cátia Silva Pedro Faria Zita Vale GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development PP - Polytechnic of Porto Porto Portugal

ISBN: (数字)9781728131924

ISBN: (纸本)9781728131931

Nowadays, the data can be considered an asset when properly managed. An entity with the right tool to analyse the amount of data existent and withdraw crucial information will have the power to obliterate the competition. In the Energy sector, with Smart Grid introduction, small resources have more influence in the market through Demand Response and bidirectional communication. However, none of the actual business models is prepared to deal with the uncertainty related to these resources. The authors, in order to find a solution for this complex problem, proposed a methodology which the goal is to minimize operation costs and give fair compensation for resources who participate in the management of local markets. With this fair payment, it is expected continuous participation. Through clustering methods, remuneration groups are created. In the present paper, a study about the optimal number of clusters is performed. The information gives the Aggregator control in results of the following phases, understanding the impact in the remuneration of the resources.

关键词： Remuneration Elbow Distributed power generation Load management Clustering methods Optimal scheduling

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Tourism and heritage routes including visitants profile adaptation and context awareness

Tourism and heritage routes including visitants profile adap...

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2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018

作者： Tanzin Hoque, Tania Ferreira, Luis Faria, Luiz Martins, Constantino Mesquita, Rodrigo Conceicao, Luis Marreiros, Goreti Ramos, Carlos GECAD - Research Group on Engineering and Intelligent Computing for Innovation and Development Polytechnic of Porto Porto Portugal

ISBN: (纸本)9781728113609

The project TheRoute (Tourism and Heritage Routes including Ambient Intelligence with Visitants' Profile Adaptation and Context Awareness) aim is to conduct studies, research and experimentation around the challenge of automatic generation of routes for visitors. The suggested routes fit the profile of visitors and groups of visitors, including aspects like emotion/mood/personality, and aware of the context (e.g. weather, security). The focus region is north of Portugal, developed around a location (urban or rural) or path (e.g. Portuguese Santiago Route or Douro) or around a theme (e.g. musician, writer). Points of Interest (POI) will be modeled. Also, the system is able to use different platforms for the tourist (desktop, notebook, tablet, Smartphone). TheRoute has been developed considering the notion of Ambient Intelligence (AmI) and Context Awareness. It consists of a context-aware touristic recommendation system which can suggest a series of locations to a user based on their personality, preferences, and location. This paper focuses on the proposed route generation processes, including examples of the overall resulting behavior. We discuss two proposed algorithms (an iterative branch-and-bound based process & sequential addition of the nearest feasible sub-route) for route generation, considering contextual model designing based on user's psychology, and point of interest and availability. The route generation tests that were performed included some of the most influential Porto points of interest. © 2018 IEEE.

关键词： Recommender systems

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Automated identification and quantification of myocardial inflammatory infiltration in digital histological images to diagnose myocarditis

arXiv

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arXiv 2023年

作者： Liu, Yanyun Hua, Xiumeng Zhu, Shouping Wang, Congrui Chen, Xiao Shi, Yu Song, Jiangping Zhou, Weihua School of Life Science and Technology Xidian University Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Shaanxi Xi'An China Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment School of Life Science and Technology Xidian University Shaanxi Xi'An China Innovation Center for Advanced Medical Imaging and Intelligent Medicine Guangzhou Institute of Technology Xidian University Guangdong Guangzhou China Beijing Key Laboratory of Preclinical Research and Evaluation for Cardiovascular Implant Materials Animal Experimental Centre Fuwai Hospital National Centre for Cardiovascular Disease Chinese Academy of Medical Sciences Peking Union Medical College Beijing China State Key Laboratory of Cardiovascular Disease Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences Peking Union Medical College 167A Beilishi Road Xi Cheng District Beijing China Department of Cardiovascular Surgery Fuwai Hospital National Center for Cardiovascular Diseases National Clinical Research Center of Cardiovascular Diseases State Key Laboratory of Cardiovascular Disease Chinese Academy of Medical Sciences Peking Union Medical College Beijing China The Cardiomyopathy Research Group Fuwai Hospital Beijing China Department of Applied Computing Michigan Technological University HoughtonMI United States Center for Biocomputing and Digital Health Institute of Computing and Cybersystems Health Research Institute Michigan Technological University HoughtonMI United States

Background Given the dimensionality of WSIs and the increase in the number of potential cases, the manual histological diagnosis of myocarditis based on Dallas Criteria is time-consuming, experience-dependent. Objectives To overcome the limitations of manual diagnosis methods, this study aims to develop a new computational pathology approach that automates the identification and quantification of myocardial inflammatory infiltration in digital hematoxylin and eosin (HE)-stained images to assist pathologists in diagnosing myocarditis. Methods 898 HE-stained whole slide images (WSIs) of myocardium from 154 heart transplant patients diagnosed with myocarditis or dilated cardiomyopathy (DCM) were included in this study. An automated deep-learning (DL)-based computational pathology approach was developed to identify nuclei and detect myocardial inflammatory infiltration, enabling the quantification of the lymphocyte nuclear density (LND) on myocardial WSIs. A cutoff value based on the quantification of LND was proposed to determine if the myocardial inflammatory infiltration was present. The performance of our approach was evaluated with a five-fold cross-validation experiment, tested with an internal test set from the myocarditis group, and confirmed by an external test from a double-blind trial group. Results An LND of 1.02/mm2 could distinguish WSIs with myocarditis from those without. The accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) in the five-fold cross-validation experiment were 0.899 ± 0.035, 0.971 ± 0.017, 0.728 ± 0.073 and 0.849 ± 0.044, respectively. For the internal test set, the accuracy, sensitivity, specificity, and AUC were 0.887, 0.971, 0.737, and 0.854, respectively. The accuracy, sensitivity, specificity, and AUC for the external test set reached 0.853, 0.846, 0.858, and 0.852, respectively. Conclusion Our new approach provides accurate and reliable quantification of the LND of myocardial WSIs bas

关键词： Pathology

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Classification of local energy trading negotiation profiles using artificial neural networks

Classification of local energy trading negotiation profiles ...

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IEEE Power and Energy Society General Meeting

作者： Angelo Pinto Tiago Pinto Isabel Praca Zita Vale GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Polytechnic of Porto (ISEP /IPP) Porto Portugal Polytechnic of Porto (ISEP /IPP) Porto Portugal

Electricity markets are evolving into a local trading setting, which makes it for unexperienced players to achieve good agreements and obtain profits. One of the solutions to deal with this issue is to provide players with decision support solutions capable of identifying opponents' negotiation profiles, so that negotiation strategies can be adapted to those profiles in order to reach the best possible results from negotiations. This paper presents an approach that classifies opponents' proposals during a negotiation, to determine which is the typical negotiation profile in which the opponent most relates. The classification process is performed using an artificial neural network approach, and it is able to adapt at each new proposal during the negotiation process, by re-classifying the opponents' negotiation profile according to the most recent actions. In this way, effective decision support is provided to market players, enabling them to adapt the negotiation strategy throughout the negotiations.

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Innovative electricity market designs to support a transition to (near) 100% renewable power system: first results from H2020 TradeRES project

Innovative electricity market designs to support a transitio...

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22nd Wind and Solar Integration Workshop (WIW 2023)

作者： A. Estanqueiro G. Strbac N. Chrysanthopoulos G. Santos S. Jo-hanndeiter H. Algarvio H. Syse E. Sperber N. Wang I. Jimenez D. Qiu Z. Vale K. Nienhaus J. Kochems C. Schimeczek J. Sijm L. de Vries F. Lopes A. Couto Renewable Energies and Energy Efficiency Unit Laboratório Nacional de Energia e Geologia I.P. Estrada do Paço do Lumiar Lisboa Portugal Department of Electrical and Electronic Engineering Imperial College London London UK GECAD - Research Group on Intelligent Eng. and Computing for Advanced Innovation and Development LASI - Intel-ligent Systems Associate Laboratory Polytechnic of Porto Rua Dr. António Bernardino de Almeida. Porto Portugal EnBW Baden-Württemberg Department of Energy Economics Durlacher Allee 93 76137 Karlsruhe Germany bitYoga AS Prof. Olav Hansens vei 7A 4021 Stavanger Norway German Aerospace Center (DLR) Inst. of Networked Energy Systems Energy Systems Analysis Stuttgart Germany Energy Transition Studies TNO Radarweg 60 1043 NT Amsterdam The Netherlands Faculty of Technology Policy and Management TU Delft Jaffalaan 5 2628 BX The Netherlands

Developing innovative electricity market designs to facilitate a sustainable transition to (near) 100% renewable power systems while meeting societal needs is a crucial and actual topic of research. This article presents preliminary key findings from the H2020 Euro-pean project TradeRES, addressing this critical topic. The project uses agent-based and optimization models to effectively capture the behaviour of different market players, and to analyse the current and future power system energy mixes of selected European case studies with different physical and spatial scales from: i) local energy communities and local energy markets (LEMs); ii) nation-al/regional - the Netherlands, Germany, and Iberia (Portugal and Spain); and iii) pan-European energy markets. The first results on LEMs indicate a substantial economic benefit for participants and enhanced revenue streams for distributed energy resources, able to i) incentivise further decentralised investments; ii) promote the growth of variable renewable energy systems (vRES) and iii) increase flexibility at the local level. The outcomes are sensitive to the tariffs' structure, while the retail sector competitiveness was identified as a critical parameter affecting its efficiency. For the pan-European and national/regional case studies, the first set of simulations had consistent outcomes, namely, by pointing out current design of energy-only markets to be insufficient to incentivize the high levels of vRES foreseen in Europe. Different support schemes (e.g., fixed market premia, contract for differences) were tested and results suggest they may play a relevant role in effectively covering the cost of vRES in a market environment.

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