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Fullexpression using transfer learning in the classification of human emotions 11th

Fullexpression using transfer learning in the classification...

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11th International Symposium on Ambient Intelligence, ISAmI 2020

作者： Rocha, Ricardo Praça, Isabel Porto Portugal GECAD – Knowledge Engineering and Decision Support Research Centre Porto Portugal

ISBN: (纸本)9783030583552

During human evolution emotion expression became an important social tool that contributed to the complexification of societies. Human-computer interaction is commonly present in our daily life, and the industry is struggling for solutions that can analyze human emotions, to improve workers safety and security, as well as processes optimization. In this work we present a software built using the transfer-learning technique on a deep learning model, and conclude about how it can classify human emotions through facial expression analysis. A Convolutional Neuronal Network model was trained and used in a web application. Several tools were created to facilitate the software development process, including the training and validation processes. Data was collected by combining several facial expression emotion databases. Software evaluation revealed an accuracy in identifying the correct emotions close to 80%. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Software design

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Fuzzy Algorithms for Fractional PID Control Systems 18th

Fuzzy Algorithms for Fractional PID Control Systems

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18th International Conference on Hybrid Intelligent Systems, HIS 2018

作者： Barbosa, Ramiro S. Jesus, Isabel S. GECAD - Knowledge Engineering and Decision Support Research Center Department of Electrical Engineering ISEP/IPP - School of Engineering Polytechnic Institute of Porto Porto Portugal

ISBN: (纸本)9783030143466

This article investigates the use of fuzzy algorithms for fractional PID control systems. The tuning of the fuzzy controllers is based on the prior knowledge of integer or fractional-order control strategy. The suggested fuzzy controllers are fine tuned using a genetic algorithm (GA). The effectiveness and robustness of the proposed methodology is illustrated through its application on the control of a fractional-order plant. The simulation results show the better performance of nonlinear fuzzy algorithms of fractional-order. © 2020, Springer Nature Switzerland AG.

关键词： Three term control systems

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Battery scheduling models in smart buildings: a systematic literature review

Battery scheduling models in smart buildings: a systematic l...

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Power Electronics and Control (SEPOC), Seminar on

作者： Júlia Possebon Spellmeier Carmen Brum Rosa Luis Gomes Zita Vale Rogerio Moreira Alves Depart. of Production and Systems Engineering Universidade Federal de Santa Maria (UFSM) Brasil Knowledge Engineering and Decision-Support Research Center (GECAD) Instituto Superior de Engenharia do Porto (ISEP) Porto Portugal Department of Electrical Engineering Universidade Federal de Goiás Goiás Brasil

Economic development brings the current scenario closer to the depletion of natural resources. Directly related to this it’s the energy consumption and the need to seek sustainable solutions to prevent the harmful consequences of this depletion. Solar energy harnessed through photovoltaic technology is a solution capable of reducing the environmental impact, as it is a resource that is less harmful to the environment. The energy demand is seen as rising worldwide, and strategies must be developed to improve energy efficiency and maintain the balance of the electrical network, considering the comfort of consumers and the minimization of polluting emissions. In this sense, the concept of Home Energy Management Systems (HEMS) aims to reduce electricity bills, maintain the efficiency of electronic equipment, and Demand Response, which seeks to change the use of electricity by consumers. Thus, the present study aims to search the literature for different HEMS models, specifically battery scheduling, for the future application of a model for a case study in the laboratory gecad - research group on Intelligent engineering and Computing for Advanced Innovation and Development.

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Smart coach—a recommendation system for young football athletes 10th

Smart coach—a recommendation system for young football athl...

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10th International Symposium on Ambient Intelligence, ISAmI 2019

作者： Matos, Paulo Rocha, João Gonçalves, Ramiro Almeida, Ana Santos, Filipe Abreu, David Martins, Constantino Computer Science Department Engineering Institute - Polytechnic of Porto Porto Portugal Trás-os-Montes e Alto Douro University Vila Real Portugal GECAD Knowledge and Decision Support Research Group Porto Portugal

ISBN: (纸本)9783030240967

Over the last decades Information and Communication Technologies (ICTs) are increasingly being used in sports, especially in football, aiming to improve the athletes training and results. However, training systems for young athletes do not have, for the most part, learning abilities in order to adapt, evolve and find new training recommendations, designed specifically for each young athlete. In this paper introduce the Smart Coach user adaptation model, and whose main goal is to present our hybrid recommendation system to help young athletes evolve. This facilitate the interaction between members of a club technical staff and their young athletes, reinforcing the young person counselling, and their potential as an athlete. © Springer Nature Switzerland AG 2020.

关键词： Recommender systems

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Simulating the Behaviour of Electronic MarketPlaces with an Agent-Based Approach 04

Simulating the Behaviour of Electronic MarketPlaces with an ...

引用

Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence

作者： Maria Joao Viamonte Carlos Ramos Fatima Rodrigues Cardoso Cardoso GECAD - Knowledge Engineering and Decision Support Research Group University of Trás-os-Montes e Alto Douro

ISBN: (纸本)9780769521008

We forecast a future in which the global economy and the Internet will host a large number of interacting software agents. Most of them will be economically motivated, and will negotiate a variety of goods and services. It is therefore important to consider the economic incentives and behaviours of economic software agents, and to use all available means to anticipate their collective interactions. This paper addresses this concern by presenting a multi-agent market simulator designed for analysing agent market strategies based on a complete understanding of buyer and seller behaviours, preference models and pricing algorithms. The results of the negotiations between agents will be analysed by data mining tools in order to extract rules that will give the agents feedback to improve their strategies.

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Analysis and Simulation of Local Energy Markets

Analysis and Simulation of Local Energy Markets

引用

International Conference on European Electricity Market, EEM

作者： Isabel Praça Sérgio Ramos Rui Andrade Allon Soares da Silva Everthon Taghori Sica GECAD - Knowledge Engineering and Decision Support Research Centre Porto Portugal Campus Florianópolis Federal Institute of Santa Catarina (IFSC) Florianópolis Brazil

This paper presents a simulation model for local markets with the perspective of a licensed municipal entity describing the guidelines for agent interaction. The licensed municipal entity is a strategic agent for the operation of a local energy market along the lines of the proposed business model. MASCEM tool is the basis for the analysis. The work to improve MASCEM proposes an architecture for the study of local energy markets that face the participating agents as the cyber-physical systems beyond them, considering the need of secure interactions and trusted negotiations. Two scenarios case - study are carried out to highlight different approaches from the licensed municipal entity. The first approach describes a liberalized position of the entity so that agents in the local market can interact more objectively with the wholesale market. In the second approach, the interaction with the wholesale energy market is restricted to the licensed municipal entity.

关键词： Business Analytical models Security Computational modeling Data models Generators Energy efficiency

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SCADA Office Building Implementation in the Context of an Aggregator

SCADA Office Building Implementation in the Context of an Ag...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Omid Abrishambaf Pedro Faria Zita Vale GECAD—Knowledge Engineering and Decision Support Research Centre Polytechnic of Porto (IPP) Porto Portugal

This paper at first presents an aggregation model including optimization tools for optimal resource scheduling and aggregating, and then, it proposes a real implemented SCADA system in an office building for decision support techniques and participating in demand response events. The aggregator model controls and manages the consumption and generation of customers by establishing contract with them. The SCADA based office building presented in this paper is considered as a customer of proposed aggregation model. In the case study, a distribution network with 21 buses, including 20 consumers and 26 distributed generations, is proposed for the aggregator network, and optimal resource scheduling of aggregator, and performance of implemented SCADA system for the office building, will be surveyed. The scientific contribution of this paper is to address from an optimization-based aggregator model to a SCADA based customer.

关键词： Buildings SCADA systems Optimization Contracts Load modeling Remuneration Mathematical model

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optimization-Based Home Energy Management System Under Different Electricity Pricing Schemes

optimization-Based Home Energy Management System Under Diffe...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Mahsa Khorram Pedro Faria Zita Vale GECAD—Knowledge Engineering and Decision Support Research Centre Polytechnic of Porto (IPP) Porto Portugal

This paper presents an optimization-based home energy management system, by taking advantages of renewable resources and energy storage system for optimally managing the energy consumption and generation of the house. The surplus of renewable generation will be stored in energy storage system or will be injected into the main grid. An optimization algorithm is developed for this system in order to minimize the electricity bill of the house considering electricity tariffs. Four home appliances are considered to be controlled by this system for reducing the consumption in critical periods. The outcomes of optimization problem are the optimal scheduling of the resources including renewable generation, energy storage system, consumption reduction, and power transactions with the grid. In the case study, the developed model will be employed in three different scenarios, which considers simple electricity prices and time-of- use tariffs in order to test and validate the performance of the developed model.

关键词： Optimization Energy storage Home appliances Production Energy management Wind turbines Buildings

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Gravitational search algorithm applied for residential demand response using real-time pricing 15th

Gravitational search algorithm applied for residential deman...

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15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017

作者： Spavieri, G. Fernandes, R.A.S. Vale, Z. Department of Electrical Engineering Federal University of Sao Carlos - UFSCar Sao Carlos Brazil Knowledge Engineering and Decision Support Research Center – GECAD Institute Polytechnic of Porto – IPP Porto Portugal

ISBN: (纸本)9783319615776

This paper has as main objective the performance evaluation of the Gravitational Search Algorithm for Demand Response programs applied to residential consumers. For this purpose, it was considered a model that describes the consumption and energy price, according to the loads present in a residence. This way, it is intended to minimize the cost of electricity for final consumers based on an optimized planning of their loads at different times. In addition, it will be considered a variable cost of electricity over time (hourly price). In this sense, the cost of electricity will be discretized throughout the day. Finally, the performance of the Gravitational Search Algorithm for the considered model will be evaluated. © Springer International Publishing AG 2018.

关键词： Optimization

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Hybrid tourism recommendation system based on functionality/accessibility levels 15th

Hybrid tourism recommendation system based on functionality/...

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15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017

作者： Santos, Filipe Almeida, Ana Martins, Constantino de Oliveira, Paulo Moura Gonçalves, Ramiro Computer Science Department Institute of Engineering Polytechnic of Porto Porto Portugal GECAD Knowledge and Decision Support Research Group Porto Portugal INESC TEC Trás-os-Montes e Alto Douro University Vila Real Portugal

ISBN: (纸本)9783319615776

This paper describes a proposal to develop a Tourism Recommendation System based in Users and Points-of-Interest (POI) functionality/accessibility levels. The focus is to evaluate if user’s physical and psychological functionality levels can perform an important role in recommendation results accuracy. This work also aims to show the importance of POI classification (accessibility levels are related with each POI ability to receive tourists with certain levels of physical and psychological issues), through the definition of a different model regarding their accessibility and other characteristics. © Springer International Publishing AG 2018.

关键词： Recommender systems

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