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About

About

E. J. Solteiro Pires received the B.Sc. degree in electrical engineering from the University of Coimbra, Coimbra, Portugal, in 1994, the M.Sc. degree in electrical and computer engineering from the University of Porto, Porto, Portugal, in 1999, and the Ph.D. degree from the University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal, in 2006. He is currently an Auxiliary Professor with UTAD. His current research interests include evolutionary computation, soft computing, multiobjective problems, and robotics.

Interest
Topics
Details

Details

001
Publications

2021

Reconfigurable Grasp Planning Pipeline with Grasp Synthesis and Selection Applied to Picking Operations in Aerospace Factories

Authors
de Souza, JPC; Costa, CM; Rocha, LF; Arrais, R; Moreira, AP; Pires, EJS; Boaventura Cunha, J;

Publication
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Abstract

2021

Bringing Semantics to the Vineyard: An Approach on Deep Learning-Based Vine Trunk Detection

Authors
Aguiar, AS; Monteiro, NN; dos Santos, FN; Pires, EJS; Silva, D; Sousa, AJ; Boaventura Cunha, J;

Publication
AGRICULTURE-BASEL

Abstract
The development of robotic solutions in unstructured environments brings several challenges, mainly in developing safe and reliable navigation solutions. Agricultural environments are particularly unstructured and, therefore, challenging to the implementation of robotics. An example of this is the mountain vineyards, built-in steep slope hills, which are characterized by satellite signal blockage, terrain irregularities, harsh ground inclinations, and others. All of these factors impose the implementation of precise and reliable navigation algorithms, so that robots can operate safely. This work proposes the detection of semantic natural landmarks that are to be used in Simultaneous Localization and Mapping algorithms. Thus, Deep Learning models were trained and deployed to detect vine trunks. As significant contributions, we made available a novel vine trunk dataset, called VineSet, which was constituted by more than 9000 images and respective annotations for each trunk. VineSet was used to train state-of-the-art Single Shot Multibox Detector models. Additionally, we deployed these models in an Edge-AI fashion and achieve high frame rate execution. Finally, an assisted annotation tool was proposed to make the process of dataset building easier and improve models incrementally. The experiments show that our trained models can detect trunks with an Average Precision up to 84.16% and our assisted annotation tool facilitates the annotation process, even in other areas of agriculture, such as orchards and forests. Additional experiments were performed, where the impact of the amount of training data and the comparison between using Transfer Learning and training from scratch were evaluated. In these cases, some theoretical assumptions were verified.

2021

Wind Farm Cable Connection Layout Optimization with Several Substations

Authors
Cerveira, A; Pires, EJS; Baptista, J;

Publication
ENERGIES

Abstract
Green energy has become a media issue due to climate changes, and consequently, the population has become more aware of pollution. Wind farms are an essential energy production alternative to fossil energy. The incentive to produce wind energy was a government policy some decades ago to decrease carbon emissions. In recent decades, wind farms were formed by a substation and a couple of turbines. Nowadays, wind farms are designed with hundreds of turbines requiring more than one substation. This paper formulates an integer linear programming model to design wind farms' cable layout with several turbines. The proposed model obtains the optimal solution considering different cable types, infrastructure costs, and energy losses. An additional constraint was considered to limit the number of cables that cross a walkway, i.e., the number of connections between a set of wind turbines and the remaining wind farm. Furthermore, considering a discrete set of possible turbine locations, the model allows identifying those that should be present in the optimal solution, thereby addressing the optimal location of the substation(s) in the wind farm. The paper illustrates solutions and the associated costs of two wind farms, with up to 102 turbines and three substations in the optimal solution, selected among sixteen possible places. The optimal solutions are obtained in a short time.

2021

Evaluation of PV microgeneration systems and tariffs management on the energy efficiency of service buildings

Authors
Baptista, J; Sequeira, G; Solteiro Pires, EJ;

Publication
Renewable Energy and Power Quality Journal

Abstract
The buildings' energy consumption increasing requires solutions to improve their energy efficiency, thus reducing the electricity bill's associated costs. This paper aims to study the load profiles of a service building and its optimization to reduce the costs related to electricity consumption. The electrical load profiles are analyzed, and the electrical equipment and its consumption are characterized. Moreover, to increase energy efficiency and reduce energy costs, a renewable energy system based on photovoltaic panels is sized and integrated into the building. The analysis of the building's consumption profiles allowed the PV system's dimensioning to eliminate power peaks, enabling a reduction in the contracted power. The results demonstrate the effectiveness of the proposed solution, resulting in a reduction of the electricity bill.

2021

Genetic and Ant Colony Algorithms to Solve the Multi-TSP

Authors
Castro Pereira, Sd; Solteiro Pires, EJ; Moura Oliveira, PBd;

Publication
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings

Abstract

Supervised
thesis

2021

Optical biosensor for food inspection: advances in biogenic amines metabolic profiling and chemiluminescence biosensor validation

Author
Ana Beatriz Matias Teixeira

Institution
IES_Outra

2021

An Explainable Approach for Lung Cancer Classification and Integrative Survival Analysis using Omics Data

Author
Bernardo Manuel Faria Ramos

Institution
UP-FEUP

2020

Classificação de doenças neurodegenerativas baseada na locomoção humana

Author
Filipa Daniela Azevedo da Silva

Institution
UP-FEUP

2019

ADAPT – Plataforma Adaptativa de Ensino à Distância

Author
Eduardo Jorge Dinis Pratas

Institution
UTAD

2019

Chat Bot -o diagmóstico de bolso

Author
Duarte Rui Afonso Gomes Tavares do Amaral

Institution
UTAD