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START: Sustainable transport awareness recommendation tool

Transportation Research Procedia 2023年 72卷 4065-4072页

作者： Marta Campos Ferreira Teresa Galvão Dias Faculdade de Engenharia da Universidade do Porto Rua Dr. Roberto Frias 4200-465 Porto Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science R. Dr. Roberto Frias s/n Porto 4200-465 Portugal

Sustainable mobility has become one of the most pressing issues in modern society. The need to raise awareness of climate change, combined with the overcrowding of metropolitan and urban areas, has produced a situation that requires an urgent solution. Some earlier approaches dealt primarily with transport-related issues, while some conceptual models attempted to increase the appeal of public transport by linking the services provided by public transport operators to a variety of city services. A practical and empirical answer, on the other hand, has not yet been given. This research addresses these issues by taking a holistic approach and presenting a personalized recommendation system based on users' everyday activities as well as their mobility profiles. The crossing of both sources of information allows for a more user-centric experience, ensuring that the offers presented are adapted to the tastes of customers. The potential of such a system is proven using data from Porto, Portugal. Two types of data sources were used to obtain more accurate results: data from the automated fare collection system of the Porto Metropolitan Area, Portugal, and data from city services taken from Google Places. The fundamental idea behind tackling this problem is to encourage people to use public transport by providing them with incentives such as discounts, promotions and service offers to encourage them to use cleaner and more efficient modes of transport.

关键词： Public transport sustainable mobility recommender systems

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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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Navigation Stack for Robots Working in Steep Slope Vineyard

Navigation Stack for Robots Working in Steep Slope Vineyard

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Intelligent systems Conference, IntelliSys 2020

作者： Santos, Luís C. Aguiar, André S. Santos, Filipe N. Valente, António Ventura, José Boa Sousa, Armando J. INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal UTAD - University of Trás-os-Montes e Alto Douro Vila Real Portugal FEUP - Faculty of Engineering of University of Porto Porto Portugal

ISBN: (纸本)9783030551797

Agricultural robotics is nowadays a complex, challenging, and relevant research topic for the sustainability of our society. Some agricultural environments present harsh conditions to robotics operability. In the case of steep-slope vineyards, there are several robotic challenges: terrain irregularities, characteristics of illumination, and inaccuracy/unavailability of the Global Navigation Satellite System. Under these conditions, robotics navigation, mapping, and localization become a challenging task. Performing these tasks with safety and accuracy, a reliable and advanced Navigation stack for robots working in a steep slope vineyard is required. This paper presents the integration of several robotic components, path planning aware of robot centre of gravity and terrain slope, occupation grid map extraction from satellite images, a localization and mapping procedure based on high-level visual features reliable under GNSS signals blockage/missing, for steep-slope robots. © 2021, Springer Nature Switzerland AG.

关键词： Mapping

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Flexibility Provision by Smart Homes in Integrated Energy Management systems

Flexibility Provision by Smart Homes in Integrated Energy Ma...

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Mohammad Sadegh Javadi Ali Esmaeel Nezhad Pedro H.J. Nardelli Subham Sahoo Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Department of Electrical Engineering School of Energy Systems LUT University Lappeenranta Finland Department of Energy Technology Aalborg University Aalborg Denmark

ISBN: (数字)9781665485371

ISBN: (纸本)9781665485388

This paper presents a mathematical problem formulation for energy management systems for smart homes. The flexibility can be provided by a home energy management system (HEMS) in a local energy community. The main concept is to model the flexibility provision and flexibility procurement within the energy community that can be provided to the aggregator from active consumers. The integrated energy management model is coded as a standard mixed-integer linear programming (MILP) model which can be solved by open-source tools like the PuLP package developed in Python. The simulation results confirm the performance of the proposed model in terms of flexibility provided by the centralized integrated energy system introduced in this paper.

关键词： Home appliances Costs Simulation Smart homes Mathematical models Mixed integer linear programming Energy management systems

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Optic disc and fovea detection in color eye fundus images 17th

Optic disc and fovea detection in color eye fundus images

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17th International Conference on Image Analysis and Recognition, ICIAR 2020

作者： Mendonça, Ana Maria Melo, Tânia Araújo, Teresa Campilho, Aurélio INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal Faculty of Engineering of the University of Porto Porto Portugal

ISBN: (纸本)9783030505158

The optic disc (OD) and the fovea are relevant landmarks in fundus images. Their localization and segmentation can facilitate the detection of some retinal lesions and the assessment of their importance to the severity and progression of several eye disorders. Distinct methodologies have been developed for detecting these structures, mainly based on color and vascular information. The methodology herein described combines the entropy of the vessel directions with the image intensities for finding the OD center and uses a sliding band filter for segmenting the OD. The fovea center corresponds to the darkest point inside a region defined from the OD position and radius. Both the Messidor and the IDRiD datasets are used for evaluating the performance of the developed methods. In the first one, a success rate of 99.56% and 100.00% are achieved for OD and fovea localization. Regarding the OD segmentation, the mean Jaccard index and Dice’s coefficient obtained are 0.87 and 0.94, respectively. The proposed methods are also amongst the top-3 performing solutions submitted to the IDRiD online challenge. © Springer Nature Switzerland AG 2020.

关键词： Image segmentation

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The Importance of the Maintenance Area in the Hotel Sector 1

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International Conference on Tourism, technology and systems, ICOTTS 2021

作者： Silva, Tiago Camarinha Ferreira, Luís Pinto Costa, Elga Silva, Francisco J. G. Ávila, Paulo ISEP—School of Engineering Polytechnic of Porto R. Dr. António Bernardino de Almeida 431 Porto4200-072 Portugal INEGI—Institute of Science and Innovation in Mechanical and Industrial Engineering Porto Portugal Porto Portugal Centre for Tourism Research Development and Innovation Rua D. Sancho I 981 Vila do Conde Lisbon4480-876 Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal

ISBN: (数字)9789811910401

ISBN: (纸本)9789811910395

The hotel sector is a diversified and highly technical sector, where the complexity of the facilities, the specific characteristics, and requirements of the area, as well as the regulations and applicable legislation, constitute an enormous challenge. Thus, a structured maintenance plan must include periodic intervention, the proper functioning of equipment, along with a greater reliability of services and energy efficiency. All these aspects will ensure greater protection and comfort to the customers of the hotel units and will enable the effective management of resources, impacting on the overall costs represented by the maintenance area in a hotel structure. This article aims to demonstrate the key importance of the maintenance area in the hotel sector, concluding that hotel facilities’ management enables processes’ optimisation, providing a significant contribution for the processes’ dynamics and the overall performance of the hotel, the staff and, therefore, the hospitality business. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Maintenance

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A Robotic Framework for the Robot@Factory 4.0 Competition

A Robotic Framework for the Robot@Factory 4.0 Competition

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IEEE International Conference on Autonomous Robot systems and Competitions (ICARSC)

作者： Ricardo B. Sousa Cláudia D. Rocha João G. Martins João Pedro Costa João Tomás Padrão José Maria Sarmento José Pedro Carvalho Maria S. Lopes Paulo G. Costa António Paulo Moreira Faculty of Engineering University of Porto (FEUP) Porto Portugal CRIIS - Centre for Robotics in Industry and Intelligent Systems INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal University of Trás-os-Montes and Alto Douro (UTAD) Vila Real Portugal C2SR - Cyber-Physical Control Systems and Robotics SYSTEC - Research Center for Systems and Technologies Porto Portugal

ISBN: (数字)9798350352344

ISBN: (纸本)9798350352351

Robotic competitions stand as platforms to propel the forefront of robotics research while nurturing STEM education, serving as hubs of both applied research and scientific innovation. In Portugal, the Portuguese Robotics Open (FNR) is an event with several robotic competitions, including the Robot@Factory 4.0 competition. This competition presents an example of deploying autonomous robots on a factory shop floor. Although the literature has works proposing frameworks for the original version of the Robot@Factory competition, none of them proposes a system framework for the Robot@Factory 4.0 version that presents the hardware, firmware, and software to complete the competition and achieve autonomous navigation. This paper proposes a complete robotic framework for the Robot@Factory 4.0 competition that is modular and open-access, enabling future participants to use and improve it in future editions. This work is the culmination of all the knowledge acquired by winning the 2022 and 2023 editions of the competition.

关键词： technological innovation Education Propulsion Production facilities Software Hardware Autonomous robots

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LOOM: Interweaving tightly coupled visualization and numeric simulation framework

LOOM: Interweaving tightly coupled visualization and numeric...

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In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2021 - Held in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2021

作者： Barbosa, Joao Navratil, Paul Paulo Santos, Luis Fussell, Donald University of Minho Braga Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science Braga Portugal TACC University of Texas at Austin AustinTX United States University of Texas at Austin AustinTX United States

ISBN: (纸本)9781450387156

Traditional post-hoc high-fidelity scientific visualization (HSV) of numerical simulations requires multiple I/O check-pointing to inspect the simulation progress. The costs of these I/O operations are high and can grow exponentially with increasing problem sizes. In situ HSV dispenses with costly check-pointing I/O operations, but requires additional computing resources to generate the visualization, increasing power and energy consumption. In this paper we present LOOM, a new interweaving approach supported by a task scheduling framework to allow tightly coupled in situ visualization without significantly adding to the overall simulation runtime. The approach exploits the idle times of the numerical simulation threads, due to workload imbalances, to perform the visualization steps. Overall execution time (simulation plus visualization) is minimized. Power requirements are also minimized by sharing the same computational resources among numerical simulation and visualization tasks. We demonstrate that LOOM reduces time to visualization by 3 × compared to a traditional non-interwoven pipeline. Our results here demonstrate good potential for additional gains for large distributed-memory use cases with larger interleaving opportunities. © 2021 ACM.

关键词： Visualization

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Investigating the Perception of the Elderly Population About Comfort, Safety and Security When Using Active Modes of Transport 11th

Investigating the Perception of the Elderly Population Ab...

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11th EAI International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2022

作者： Felício, Soraia Hora, Joana Ferreira, Marta Campos Abrantes, Diogo Luna, Fábio Silva, Jorge Coimbra, Miguel Galvão, Teresa Faculty of Engineering of the University of Porto Rua Dr. Roberto Frias s/n Porto4200-465 Portugal INESC TEC - Institute for Systems and Computer Engineering Technology and Science R. Dr. Roberto Frias s/n Porto4200-465 Portugal Faculty of Sciences of the University of Porto Rua do Campo Alegre s/n Porto4169-007 Portugal Bosch Security Systems R. Pardala Zona Ind. de Ovar Estrada Nacional 109 Aptd. 653 Aveiro Portugal

ISBN: (纸本)9783031320286

Promoting active modes of transport, such as walking and cycling, has a positive impact on environmental sustainability and the health and well-being of citizens. This study explores the elderly population’s perception of comfort, safety and security when using active modes of transport. It begins with a systematic review of the literature considering research works that relate to active travel, the elderly population, and random forest. Then a questionnaire was applied to 653 participants and the results were analyzed. This analysis consisted of using statistics to evaluate the socio-demographic profile, the preferences regarding the use of active modes of this population, and the importance given to each dimension: comfort, safety, distance, and time, comparing these indicators through the Wilcoxon Rank Sum test and the Random Forest algorithm. The results showed that people over 56 years old walk as much as younger people. Furthermore, the importance given by this group of people to indicators referring to active modes is related to safety and security, distance, time, and comfort. The statistical results of the Wilcoxon Rank Sum test indicate the most important indicators: Adequate Travel Distance & Time and Existence of Commercial Areas by age group [0–55], and Absence of Allergenics and Existence of Green Areas by age group [56+]. Finally, the Random Forest algorithm provides the relative importance for both age groups, [0–55] and [56+], where the indicators that stand out in the [56+] age group, which is the focus of our study, are air quality, adequate travel distance & time, adequate crowd density, adequate thermal sensation, absence of allergenic, good street illumination level, adequate traffic volume, and adequate noise level. © 2023, ICST institute for computer sciences, Social Informatics and Telecommunications engineering.

关键词： Air quality

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NeuroKinect4K: A Novel 4K RGB-D-IR Video System with 3D Scene Reconstruction for Enhanced Epileptic Seizure Semiology Monitoring

NeuroKinect4K: A Novel 4K RGB-D-IR Video System with 3D Scen...

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

作者： Tamás Karácsony Nicholas Fearns Christian Vollmar Denise Birk Jan Rémi Soheyl Noachtar João Paulo Silva Cunha Center for Biomedical Engineering Research (C-BER) Institute for Systems’ Engineering and Computers Technology & Science (INESC TEC) Porto Portugal Faculty of Engineering (FEUP) University of Porto Porto Portugal Robotics Institute Carnegie Mellon University Pittsburgh PA USA Department of Neurology Epilepsy Center University of Munich Munich Germany

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Epileptic seizures are clearly characterized by their displayed behavior, the semiology, which is used in diagnosis and classification as a base for therapy. This article presents a novel 4K 3D video recording and reviewing system for epilepsy monitoring, introducing a novel perspective and allowing continuous recording and review of 3D videos in the epilepsy monitoring unit (EMU), providing significantly more detail than the current clinical systems, which can lead to the recognition of more Movements of Interest (MOIs) and may reduce inter-rater variability. To put the system to an initial test in clinical practice the article presents three real-world examples of subtle MOIs, that could only be appreciated on the 4K-video, but not on the VGA-video, recorded as part of the clinical routine. In conclusion, a 4K-RGB recording, 3D cropping, and 3D video playing system was developed, implemented, and tested for realworld clinical scenarios, considering the specific requirements of clinical monitoring in EMUs. The new data acquisition setup can support clinical diagnosis, which may lead to new insights in the field of epilepsy and the development of AI approaches in the future.

关键词： Three-dimensional displays Reviews Epilepsy Medical treatment Semiotics systems support Artificial intelligence engineering in medicine and biology Monitoring Video recording

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