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The Importance of the Maintenance Area in the Hotel Sector 1

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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Dynamic Setpoint Optimization Using Metaheuristic Algorithms for Wastewater Treatment Plants 48

Dynamic Setpoint Optimization Using Metaheuristic Algorithms...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Salles, Rodrigo Mendes, Jerome Henggeler Antunes, Carlos Moura, Pedro Dias, Joana University of Coimbra Institute of Systems and Robotics Department of Electrical and Computer Engineering Pólo II Coimbra3030-290 Portugal University of Coimbra Inesc Coimbra Department of Electrical and Computer Engineering Pólo II Coimbra3030-290 Portugal Ctga Park no 70 Taveiro Coimbra3045-487 Portugal

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

Wastewater Treatment Plants (WWTPs) are complex structures, with nonlinear characteristics, that have strict quality criteria, and carry out the treatment using various resources, with special emphasis on electricity. The optimization of WWTPs is a necessity to achieve sustainability. This work proposes the use of metaheuristic algorithms to optimize the functioning of a WWTP. Genetic Algorithm, Particle Swarm Optimization, and Simulated Annealing are used to minimize the aeration energy consumption prediction by an artificial neural network. The optimization framework aims dynamically adjusts the reference value for the proportional-integral (PI) controller. The proposed approach was able to dynamically adjust the oxygen pumping requirement and thus reduce the electricity consumption compared to the default PI controller adopted by the Benchmark Simulation Model no. 2 (BSM2). © 2022 IEEE.

关键词： Genetic algorithms

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From localized to propagating surface plasmon resonances in Au nanoparticle-coated optical fiber sensors and its implications in biosensing

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Photonics Research 2024年第10期12卷 2166-2177页

作者： PAULO S.S.DOS SANTOS JOÃO P.MENDES JORGE PÉREZ-JUSTE I.PASTORIZA-SANTOS JOSÉM.M.M.DE ALMEIDA LUÍS C.C.COELHO INESC TEC–Institute of Systems and Computer Engineering Technology and Scienceand Department of PhysicsFaculty of SciencesUniversity of PortoRua do Campo Alegre4169-007 PortoPortugal Faculty of Engineering University of PortoRua Dr.Roberto Frias4200-465 PortoPortugal CINBIO Universidade de VigoCampus Universitario LagoasMarcosende36310 VigoSpain SERGAS-UVIGO Galicia Sur Health Research Institute(IIS Galicia Sur)36312 VigoSpain Department of Physics School of Science and TechnologyUniversity of Trás-os-Montes e Alto Douro5001-801 Vila RealPortugal

Nanoparticle-based plasmonic optical fiber sensors can exhibit high sensing performance,in terms of refractive index sensitivities(RISs).However,a comprehensive understanding of the factors governing the RIS in this type of sensor remains limited,with existing reports often overlooking the presence of surface plasmon resonance(SPR)phenomena in nanoparticle(NP)assemblies and attributing high RIS to plasmonic coupling or waveguiding ***,using plasmonic optical fiber sensors based on spherical Au nanoparticles,we investigate the basis of their enhanced RIS,both experimentally and *** bulk behavior of assembled Au NPs on the optical fiber was investigated using an effective medium approximation(EMA),specifically the gradient effective medium approximation(GEMA).Our findings demonstrate that the Au-coated optical fibers can support the localized surface plasmon resonance(LSPR)as well as SPR in particular ***,we found that the nanoparticle sizes and surface coverage dictate which effect takes precedence in determining the RIS of the *** data,in line with numerical simulations,revealed that increasing the Au NP diameter from 20 to 90 nm(15%surface coverage)led to an RIS increase from 135 to 6998 nm/RIU due to a transition from LSPR to SPR ***,increasing the surface coverage of the fiber from 9%to 15%with 90 nm Au nanoparticles resulted in anincrease in RIS from 1297(LSPR)to 6998 nm/RIU(SPR).Hence,we ascribe the exceptional performance of these plasmonic optical fibers primary to SPR effects,as evidenced by the nonlinear RIS *** outstanding RIS of these plasmonic optical fibers was further demonstrated in the detection of thrombin protein,achieving very low limits of *** findings support broader applications of high-performance NP-based plasmonic optical fiber sensors in areas such as biomedical diagnostics,environmental monitoring,and chemical analysis.

关键词： fiber surface fibers

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Model-Based Analysis of Sustainable Energy Transition: A Case Study of Portugal's Regional Wind and Solar Power Generation

Model-Based Analysis of Sustainable Energy Transition: A Cas...

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International Conference on European Electricity Market, EEM

作者： André Rodrigues de Oliveira Salvador Doménech Martínez José Villar Collado Mónica Meireles Max Alberto López-Maciel Fátima Lima Edimar Ramalho Margarita Robaina Mara Madaleno Marta Ferreira Dias INESC TEC –Institute for Systems and Computer Engineering Technology and Science Porto Portugal ISCTE-University Institute of Lisbon and Business Research Unit (bru_iscte) Lisboa Portugal DAO & CESAM University of Aveiro Aveiro Portugal DEGEIT – Department of Economics Management Industrial Engineering and Tourism GOVCOPP – Research Unit on Governance Competitiveness and Public Policies University of Aveiro Aveiro Portugal

ISBN: (数字)9798350381740

ISBN: (纸本)9798350381757

In the context of the R3EA project, funded by the Portuguese Foundation for Science and technology (FCT), we analyse a set of selected future power system scenarios to assess the impact, on the Iberian electricity market (MIBEL), of installing wind and solar generation capacity in Portugal's Centro Region. We use the long-term MIBEL operation and planning model CEVESA. The scenarios are designed based on the current economic situation and the last National Energy and Climate Plan drafts for Portugal and Spain, by distributing the expected new wind and solar generation capacity differently among Portugal regions, also considering the flexible demand for producing electrolytic hydrogen. Market prices, capture prices and production per technology are analysed to assess this impact. Results show that regional investments have no significant impact on the MIBEL variables analysed.

关键词： Wind energy generation Renewable energy sources Analytical models Sensitivity Production Wind power generation Power systems

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Decision-Making Framework For AMR Fleet Size In Manufacturing Environments

Decision-Making Framework For AMR Fleet Size In Manufacturin...

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

作者： Catarina Rema Romão Santos Henrique Piqueiro Diogo Miguel Matos Paulo Moura Oliveirat Pedro Costa Manuel F. Silva Fillipe L. Ribeiro CRIIS - Centre for Robotics in Industry and Intelligent Systems INESC TEC - Institute for Systems and Computer Engineering Technology and Science Porto Portugal Department of Engineering University of Trás-os-Montes and Alto Douro (UTAD) Vila Real Portugal Faculty of Engineering University of Porto (FEUP) Porto Portugal ISEP Polytechnic of Porto rua Dr. António Bernardino de Almeida Porto Portugal JPM Industry Vale de Cambra Portugal

ISBN: (数字)9798331538606

ISBN: (纸本)9798331538613

Industry 4.0 is transforming manufacturing environments, with robotics being a key technology that enhances various capabilities. The flexibility of Autonomous Mobile Robots has led to the rise of multi-robot systems in industrial settings. Considering the high cost of these robots, it is essential to determine the best fit of number and type before making any major investments. Simulation and modeling are valuable decision-support tools, allowing the simulation of different setups to address robot fleet sizing issues. This paper introduces a decision-support framework that combines a fleet manager software stack with the FlexSim simulator, helping decision-makers determine the most suitable mobile robots fleet size tailored to their needs. Unlike previous approaches, the developed solution integrates the same real robot coordination software in both simulation and actual deployment, ensuring that tested scenarios accurately reflect real-world conditions. A case study was conducted to evaluate the framework, involving multiple tasks of loading and unloading materials within a warehouse. Five different scenarios with varying fleet sizes were simulated, and their performances assessed. The analysis concluded that, for the case study under consideration, a fleet of three robots was the most suitable, considering relevant key performance indicators. The results confirmed that the developed solution is an effective alternative for addressing the problem and represents a novel technology with no prior state-of-the-art equivalents.

关键词： Service robots Robot kinematics Decision making Dynamic scheduling Software Batteries Software reliability Resource management Mobile robots Autonomous robots

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Design Sustainable Products in a Circular Economy Context 1

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2nd International Conference on Water Energy Food and Sustainability, ICoWEFS 2022

作者： Honório, João Simões, Ana Galvão, Mafalda Neves, Filipe Galvão, João Polytechnic of Leiria ESTG Leiria Portugal Polymer Transformation Course Coordinator/ETAP Pombal Portugal ISTécnico/Lisbon Technical University Lisbon1049-001 Portugal Departmentof Computer Science Polytechnic of Leiria Leiria Portugal R&D Unit Institute for Systems Engineering and Computers - INESC Coimbra Coimbra Portugal

ISBN: (数字)9783031268496

ISBN: (纸本)9783031268489

Consumers are increasingly accepting of items based on a sustainable design or project;as a result, corporations should consider these several characteristics while developing new products. In this work we intend to analyse the environmental impact of the production and manufacturing from the conception and design stage, up to the disassembly of the products, using software and simulation routines dedicated to the assessment of the environmental impact of the materials, production, distribution and end-of-life strategies using the SOLIDWORKS Sustainability. The work is divided into several parts: definition of sustainability in the development of products;legal proceeding;environmental impact analysis studies throughout the life cycle assessment (LCA) of a product;case study of a plastic cup. The environmental impact of materials will be studied from the stage of obtaining raw materials, through transport, production, use and disposal (or restart as a new product) supported by the concept of circular economy. Finally, simulations of production process variables will be carried out to minimize the environmental impact, reduce waste and energy, which will have multiple beneficial implications for the industry. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Life cycle

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A Comparative Study of Feature-Based and End-to-End Approaches for Lung Nodule Classification in CT Volumes to Lung-RADS Follow-up Recommendation

A Comparative Study of Feature-Based and End-to-End Approach...

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Mediterranean Electrotechnical Conference (MELECON)

作者： Carlos A. Ferreira Isabel Ramos Miguel Coimbra Aurélio Campilho Institute for Systems and Computer Engineering Technology and Science (INESC TEC) Porto Portugal Faculty of Engineering of the University of Porto (FEUP) Porto Portugal Department of Radiology São João University Hospital (CHUSJ) Porto Portugal Faculty of Medicine of the University of Porto (FMUP) Porto Portugal Faculty of Sciences of the University of Porto (FCUP) Porto Portugal

ISBN: (数字)9798350387025

ISBN: (纸本)9798350387032

Lung cancer represents a significant health concern necessitating diligent monitoring of individuals at risk. While the detection of pulmonary nodules warrants clinical attention, not all cases require immediate surgical intervention, often calling for a strategic approach to follow-up decisions. The LungRADS guideline serves as a cornerstone in clinical practice, furnishing structured recommendations based on various nodule characteristics, including size, calcification, and texture, outlined within established reference tables. However, the reliance on labor-intensive manual measurements underscores the potential advantages of integrating decision support systems into this process. Herein, we propose a feature-based methodology aimed at enhancing clinical decision-making by automating the assessment of nodules in computed tomography scans. Leveraging algorithms tailored for nodule calcification, texture analysis, and segmentation, our approach facilitates the automated classification of follow-up recommendations aligned with Lung-RADS criteria. Comparison with a previously reported end-to-end image-based classification method revealed competitive performance, with the feature-based approach achieving an accuracy of 0.701 ± 0.026, while the end-to-end method attained 0.727 ± 0.020. The inherent explainability of the feature-based approach offers distinct advantages, allowing clinicians to scrutinize and modify individual features to address disagreements or rectify inaccuracies, thereby tailoring follow-up recommendations to patient profiles.

关键词： Computed tomography Pipelines Lung cancer Lung Surgery Usability Task analysis

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A Data logger for educational purposes of a laboratory chemical reactor: an IoT approach

A Data logger for educational purposes of a laboratory chemi...

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Electrical, computer, Communications and Mechatronics engineering (ICECCME), International Conference on

作者： José Lima Thadeu Brito Olga Ferreira Maria J. Afonso Vítor H. Pinto José A. Carvalho Paulo Costa Research Centre in Digitalization and Intelligent Robotics (CeDRI) Instituto Politécnico de Bragança Bragança Portugal Laboratório Para a Sustentabilidade e Tecnologia em Regiões de Montanha (SusTEC) Instituto Politécnico de Bragança Bragança Portugal Centre for Robotic in Industry and Intelligent Systems Institute for Systems and Computer Engineering Technology and Science (INESC-TEC) Porto Portugal CeDRI SusTEC INESC-TEC Faculty of Engineering of University of Porto (FEUP) Porto Portugal SusTEC ESTiG Instituto Politécnico de Bragança Bragança Portugal ARISE & ECE Dept. Research Center for Systems and Technologies (SYSTEC) FEUP CeDRI SusTEC INESC-TEC FEUP

This paper presents the development of an acquisition system and data logger from an existing set of three continuous stirred-tank reactors in series. The reactors are currently used in chemical engineering educational laboratories to perform kinetic and tracer experiments. In this sense, to accomplish the store data process, the volumetric flow rate and the concentration of tracer, reactants and/or products of the reaction must be acquired as a function of time. In the original experimental setup, only the signal conditioning system was operational, while the acquisition, visualization, and control systems were obsolete and damaged. Thus, a new system composed of an interface and real-time acquisition data is proposed alongside preserving the main reactor structure. A graphical user interface and the automation of the various actuators were developed based on worldwide usage and low cost, respectively. This system, based on a common 8-bit microcontroller and an application developed in Lazarus, allows the storage of the acquired data in a time-series database. In this way, students can analyze the results later or in real time. Moreover, remote access allows controlling the reactor and getting data by the Internet of Things (IoT) resources. Additionally, the proposed system using IoT allows data to be shared with the community as a dataset.

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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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Classification of endoscopic capsule pathologies using Multiple Instance Learning methods

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Procedia computer Science 2025年 256卷 1116-1124页

作者： Vitor Moreira Eduardo Machado Dalila Barbosa Marta Salgado Geraldo Braz António Cunha University of Trás-os-Montes e Alto Douro 5001-801 Vila Real Portugal INESC TEC – Institute for Systems and Computer Engineering Technology and Science 4200-465 Porto Portugal Centro Hospitalar Universitário de Santo António Porto Portugal Núcleo de Computacão Aplicada — Universidade Federal do Maranhão (UFMA) São Luís MA Brasil

This article presents an investigation into the classification of endoscopic capsule pathologies using Multiple Instance Learning (MIL) methods in conjunction with deep neural network architectures. The primary problem addressed in this study is the accurate and efficient detection of gastrointestinal pathologies, a significant challenge in medical diagnostics that can have a profound impact on patient outcomes. The use of endoscopic capsules is particularly important as they provide a minimally invasive method to capture comprehensive images of the gastrointestinal tract, facilitating early detection of conditions such as ulcers, polyps, bleeding, and Crohn’s disease. Specifically, we explore three variants of MIL - Max, Mean, and Attention - for analysing sets of images captured by the endoscopic capsule. MIL was employed because it effectively handles scenarios where individual image instances are not explicitly labelled but are grouped in bags with known labels, making it suitable for the complex nature of endoscopic data. Furthermore, MIL has not yet been extensively applied in this modality, highlighting the innovative aspect of our approach. In addition, we evaluated the performance of three convolutional neural network architectures - VGG16, ResNet50, and DenseNet121 - in the classification task. The results indicate that the combination of MIL methods and deep neural network architectures offers a promising approach to the detection and classification of gastrointestinal pathologies, with significant improvements in diagnostic accuracy and efficiency.

关键词： Image Classification Medical Imaging Deep Learning Multiple Instance Learning

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