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About

José Boaventura-Cunha is an Engineer in Electronics and Telecommunications from the University of Aveiro (1985) and has a PhD in Electrotechnical and Computer Engineering from UTAD-University of Trás-os-Montes and Alto Douro, Portugal (2002). Currently holds the position of Associate Professor with habilitation at the the School of Sciences and Technology of UTAD.
Since 2012 he is a member of the CRIIS-Center for Robotics in Industry and Intelligent Systems at INESC TEC - Institute of Systems and Computer Engineering, Technology and Science and is Coordinator of the pole of INESC TEC at UTAD.
His research interests are related to the areas of Instrumentation, modeling and control applied to industrial and agro-forestry processes.

Interest
Topics
Details

Details

002
Publications

2019

Integrating MIT app-inventor in PLC programming teaching

Authors
de Moura Oliveira, PB; Boaventura Cunha, J; Soares, F;

Publication
Lecture Notes in Electrical Engineering

Abstract
The potentialities of using mobile devices such as smartphones for teaching/learning purposes are huge. However, in some teaching areas its use is still residual. The use of mobile applications in the context of teaching PLC programming techniques is addressed in this work. The MIT App-Inventor II is deployed to develop mobile applications for learning purposes. An android based application entitled Time-Counts is proposed here, developed to support the teaching/learning process of timers. Preliminary results regarding its use by students are presented. © 2019, Springer International Publishing AG, part of Springer Nature.

2019

Innovating in Control Engineering Teaching/Learning with Smartphones

Authors
Oliveira, PM; Cunha, JB; Soares, F;

Publication
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)

Abstract

2019

Cyberphysical Network for Crop Monitoring and Fertigation Control

Authors
Coelho, JP; Rosse, HV; Cunha, JB; Pinho, TM;

Publication
Progress in Artificial Intelligence - Lecture Notes in Computer Science

Abstract

2019

Precision enology in Tawny Port wine aging process: Monitoring barrel to barrel variation in oxygen, temperature and redox potential

Authors
Cosme, F; Morais, R; Peres, E; Cunha, JB; Fraga, I; Milheiro, J; Filipe Ribeiro, L; Mendes, J; Nunes, FM;

Publication
BIO Web of Conferences

Abstract
Tawny Port wine is a category of the famous Portuguese fortified wine commercialized worldwide and produced in the Douro Demarcated Region. Tawny Port wine oxidative aging is a multifactorial process critical for reaching the wanted quality. Real time monitoring of important intrinsic and extrinsic factors that are known to affect both time and quality of the aging process are important to optimize and to manage the natural variability between wines aged in different long-used wood barrels. This study presents the design, development and implementation of a remote distributed system to monitor parameters that are known to be critical for Tawny Port wine aging process. Results indicate that the distributed monitoring system was capable to detect differences between oak wood barrels and between the different storage conditions. Indeed, oxygen and redox potential were the wine's parameters where the differences found between different barrels were greater under the same storage conditions. Considering that Tawny Port wine aging process is oxidative, a variation in the wine's aging process between different wood barrels is to be expected. Actually, significant differences were detected in the oxygen consumption rate amongst the different barrels. Differences in the phenolic composition was also observed in the aged wine (controlled temperature and room temperature).

2019

On KNoT meta-platform for IoT-based control of storage grains

Authors
Quaresma de Almeida, JG; Oliveira, J; Boaventura Cunha, J;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
This work aims to develop an embedded system and mobile application within Internet of Things (IoT) context, which allow the evaluation of control techniques widely used in the industry, for both remote configuration and monitoring of environment inside storage silos in laboratory scale. The developed system contributes to the validation of the recent released KNoT meta platform and extends its application to agricultural area. Preliminary results for on-off and PID temperature control suggest its feasibility for remote transmission of setpoint data to local controllers and data acquisition for monitoring by a mobile application. © Springer Nature Switzerland AG 2019.

Supervised
thesis

2018

Modelos e Sistemas de controlo preditivo aplicados à industria de base florestal

Author
Tatiana de Fátima Martins Pinho

Institution
UTAD

2017

Modelos e Sistemas de controlo preditivo aplicados à industria de base florestal

Author
Tatiana de Fátima Martins Pinho

Institution

2016

ANÁLISE DINÂMICA DE ESCOAMENTO DE FLUÍDOS

Author
Maria Manuela Jorge Martins Ferreira

Institution
UTAD

2016

Modelos e Sistemas de controlo preditivo aplicados à industria de base florestal

Author
Tatiana de Fátima Martins Pinho

Institution
UTAD

2016

ANÁLISE COMPUTACIONAL DA CONDUÇÃO DE CALOR EM DOMÍNIOS BIDIMENSIONAIS

Author
Luís Adriano Preto Mendes Afonso

Institution
UTAD