Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About

About

  • Investigador do CESE - Centro de Engenharia de Sistemas Empresariais, do INESC TEC e Professor Adjunto no Instituto Politécnico do Porto;
  • Doutorado em Engenharia Informática pela Faculdade de Engenharia da Universidade do Porto;
  • A área de especialização foca problemas relacionados com a organização de informação em ambiente colaborativos (redes colaborativas) e a representação de conhecimento de domínio de forma partihada;
  • Participação em vários projetos nacionais e internacionais;
  • Com publicações científicas em atas de conferências e revistas;
  • Os interesses de investigação focam-se no estudo de: 1) métodos e teorias para agilizar a gestão de informação e partilha de conhecimento; 2) mecanismos de representação colaborativa de conhecimento; 3) princípios da semiótica cognitiva na construção de modelos pra estrutturação, organização de informação e visualização de informação em contextos industriais.

Interest
Topics
Details

Details

001
Publications

2020

A Decision-Support System for Preventive Maintenance in Street Lighting Networks

Authors
Carneiro, D; Nunes, D; Sousa, C;

Publication
Advances in Intelligent Systems and Computing

Abstract
An holistic approach to decision support systems for intelligent public lighting control, must address both energy efficiency and maintenance. Currently, it is possible to remotely control and adjust luminaries behaviour, which poses new challenges at the maintenance level. The luminary efficiency depends on several efficiency factors, either related to the luminaries or the surrounding conditions. Those factors are hard to measure without understanding the luminary operating boundaries in a real context. For this early stage on preventive maintenance design, we propose an approach based on the combination of two models of the network, wherein each is representing a different but complementary perspective on the classifying of the operating conditions of the luminary as normal or abnormal. The results show that, despite the expected and normal differences, both models have a high degree of concordance in their predictions. © 2020, Springer Nature Switzerland AG.

2020

Decision intelligence in street lighting management

Authors
Nunes, D; Teixeira, D; Carneiro, D; Sousa, C; Novais, P;

Publication
Advances in Intelligent Systems and Computing

Abstract
The European Union has been making efforts to increase energy efficiency within its member states, in line with most of the industrialized countries. In these efforts, the energy consumed by public lighting networks is a key target as it represents approximately 50% of the electricity consumption of European cities. In this paper we propose an approach for the autonomous management of public lighting networks in which each luminary is managed individually and that takes into account both their individual characteristics as well as ambient data. The approach is compared against a traditional management scheme, leading to a reduction in energy consumption of 28%. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

2019

Knowledge-intensive services for regional innovation The case of a NUTIII region in Portugal

Authors
Azevedo, A; Sousa, C; Duarte, N; Pereira, C; Souesa, C; Peraira, C;

Publication
2019 14TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)

Abstract
Innovation stills on the world's agenda as the holy grail of business success. Nevertheless, it stills hard for some communities to understand and embrace innovation processes in a systematic way as a continuum for regional development. Our stance is that innovation seeds, feeds innovation. That means, innovation won't work in a closed cycle, but rather in an open and cross-entity manner, forming a knowledge-managed regional development ecosystem. Accordingly, this paper describes a knowledge lab, designed as an intel structure to offer knowledge-intensive services towards the regional development of the "Tamega e Sousa" (NUTIII) Region. This knowledge lab aims at complementing the installed dynamics on innovation support and economic stimulus in a knowledge-based innovation management approach.

2018

Industry 4.0 in Tamega e Sousa's region in a twofold perspective: industry vs IT enterprise

Authors
Freitas, R; Sousaa, C; Sousa, C;

Publication
2018 13TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)

Abstract
The 4th industrial revolution is forcing industry towards its technological, productive and human requalification. In this paradigmatic shift, technology plays a key role and organisations must know, understand and dominate the intricacies of industry 4.0. However an issues arises: aren't we putting technology ahead of the processes ?. The truth is that 140 project are being implemented in different velocities in different companies and regions, even a small country like Portugal. Actually, despite of industries leaders agreed on the importance of the technological requalification (maybe pushed by the mediatism of the 4th industrial revolution), there is a lack of installed capability to embrace such projects. This concern is amplified when considering Portuguese sub regions. The impact of the 140 concept in the Portugues sub regions is the main motivation for his study on the Tamega e Sousa region. The study combines the perspective/situation of the industry and the software houses.. The way the 14.0 concept is being understood by the organisations in the Tamega and Sousa region, and the degree of preparation for the phenomenon is discussed in this paper. The awareness of the lack of preparation of the organisations for the adoption of 140. strategies or 14.0 projects 14.0, together with the inability of the region's software houses to reverse this situation, led to the presentation of a practical set of recommendations. The framework of recommendations pragmatically translates the different dimensions associated with the challenges inherent in 14.0.

2018

The influence of external factors on the energy efficiency of public lighting

Authors
Carneiro, D; Sousa, C;

Publication
Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao

Abstract
LED-based technology is transforming public lighting networks, favouring smart city innovations. Beyond energy efficiency benefits, LED-based luminaries provide real time stateful data. However, most of the municipalities manage all their luminaries equally, independently of its state or the environmental conditions. Some existing approaches to street lighting management are already considering elementary features such as on-off control and individual dimming based on movement or ambient light. Nevertheless, our vision on public (street) lighting management, goes beyond basic consumption monitoring and dimming control, encompassing: a) adaptive lighting, by considering other potential influence factors such as work temperature of the luminaries or the arrangement of the luminaries on the street; b) Colour tuning, for public safety purposes and; c) emergency behaviour control. This paper addresses the first component (adaptive lighting) influence factors, in the scope of a real scenario in a Portuguese municipality.