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About

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

001
Publications

2018

Distributed monitoring system for precision enology of the Tawny Port wine aging process

Authors
Morais, R; Peres, E; Boaventura Cunha, J; Mendes, J; Cosme, F; Nunes, FM;

Publication
Computers and Electronics in Agriculture

Abstract

2018

An analytical approach to assess the influence of the massive wall material, thickness and ventilation system on the Trombe wall thermal performance

Authors
Briga Sa, ACB; Martins, A; Boaventura Cunha, J; Lanzinha, JC; Paiva, A;

Publication
JOURNAL OF BUILDING PHYSICS

Abstract
The influence of the massive wall material, thickness and ventilation system on the Trombe wall thermal performance was analysed based on an analytical methodology. Results obtained from experimental work will also be added to this study. During the heating season, for the non-ventilated Trombe wall, the global heat gains decrease is not proportional to the thickness increase, and this ratio depends on the massive wall material heat storage capacity. A ventilation system in the massive wall leads to higher heat gains due to the air convection, but this growth is not in the same proportion for the different materials. If solid brick or earth is used, heat gain values are much higher than those obtained if there is no ventilation system, increasing to the double in the case of earth and 2.5 times more in the case of solid brick. When the massive wall is ventilated and made of granite, an increase in the gains of 44.06% is obtained when compared with the non-ventilated. During the cooling season, closing the ventilation system and the external shutter leads to heat gains considerably lower than those obtained during the heating season. In this case, earth can be a suitable material.

2018

PID Posicast Control for Uncertain Oscillatory Systems: A Practical Experiment

Authors
Oliveira, J; Oliveira, PM; Pinho, TM; Cunha, JB;

Publication
IFAC-PapersOnLine

Abstract

2018

Digital Technologies for Forest Supply Chain Optimization: Existing Solutions and Future Trends

Authors
Scholz, J; De Meyer, A; Marques, AS; Pinho, TM; Boaventura Cunha, J; Van Orshoven, J; Rosset, C; Kunzi, J; Kaarle, J; Nummila, K;

Publication
Environmental Management

Abstract

2018

Soft computing optimization for the biomass supply chain operational planning

Authors
Pinho, TM; Coelho, JP; Veiga, G; Moreira, AP; Boaventura Cunha, J;

Publication
13th APCA International Conference on Control and Soft Computing, CONTROLO 2018 - Proceedings

Abstract
Supply chains are complex interdependent structures in which tasks' accomplishment is the result of a compromise between all the entities involved. This complexity is particularly pronounced when dealing with chipping and transportation tasks within a forest-based biomass energy production supply chain. The logistic costs involved are significant and the number of network nodes are usually in a considerable number. For this reason, efficient optimization tools should be used in order to derive cost effective scheduling. In this work, soft computing optimization tools, namely genetic algorithms (GA) and particle swarm optimization (PSO), are integrated within a discrete event simulation model to define the vehicles operational schedule in a typical forest biomass supply chain. The presented simulation results show the proposed methodology effectiveness in dealing with the addressed systems. © 2018 IEEE.

Supervised
thesis

2016

-

Author
Chong liu

Institution
UM

2016

ANÁLISE DINÂMICA DE ESCOAMENTO DE FLUÍDOS

Author
Maria Manuela Jorge Martins Ferreira

Institution
UTAD

2016

ANÁLISE COMPUTACIONAL DA CONDUÇÃO DE CALOR EM DOMÍNIOS BIDIMENSIONAIS

Author
Luís Adriano Preto Mendes Afonso

Institution
UTAD

2016

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

Author
Tatiana de Fátima Martins Pinho

Institution
UTAD

2015

App Inventor Android Based M Learning Tool

Author
Diogo José Lopes Ramos

Institution
UTAD