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The growth of the IP cameras market, due to their low price and high availability, is making Wireless Video Sensor Networks (WVSNs) attractive. In a mesh, multi-hop video surveillance scenario Wi-Fi is the enabling technology for WVSNs, due to its flexibility and low cost. However, WVSNs still suffer from bad performance, throughput unfairness, and energy inefficiency. Previously, we proposed FM-WiFIX+,...
This paper describes a model (and the respective guidelines) for the creation of a debate “think-tank” around the thematic of Engineering Education. From this initiative, a first outcome is obtained, in the form of the Engineering Education Forum 2016 (EEF 2016). The Engineering Education Forum is therefore intended to be a place of discussion and debate on this thematic. The model behind Forum encompasses...
The goal of the Methodologies for Engineering Learning and Teaching (MELT) approach is to enhance the attractiveness of education through science, technology, engineering and mathematics subjects, while promoting awareness of STEM careers during upper secondary school. As a consequence, its main goal is to take into account students' aspirations and expectations during university programs and beyond,...
Is a robot that shares explicitly its emotions with users more believable and friendly? In a previous study addressing this question, results suggested that an emotion sharing feature in a robot may have negative effects in the perception of that robot. Here, we address the same question but also take into account the “competence” of a robot executing a task, to understand if some kind of interaction...
The rise of the Internet of Things and the growth of the IP cameras market are making Wireless Video Sensor Networks (WVSNs) popular. In turn, Wi-Fi is becoming the enabling technology for WVSNs due to its flexibility, high bitrates provided and low cost; however, these networks suffer from three major problems: bad performance, throughput unfairness, and energy inefficiency. In order to address the...
This paper summarizes the steps that were followed in the creation of a dynamic webpage for publishing, in real time, the data from the Environmental Noise Monitoring station installed at the Association for the Development of Industrial Aerodynamics (ADAI), at the University of Coimbra. The webpage has been used as part of a remote laboratory activity in a distance learning course about indoor environment...
Computational and communication capabilities are increasingly being used in all devices. In the production context this leads to the generation of massive amounts of data that are rarely proficuously used. More particularly the application of data-mining techniques to infer knowledge from systems' operation to improve its design decisions remains fairly unexplored. This article presents an approach...
This article describes the first version of a tool designed to infer the network characteristics of JADE-based multiagent systems. The rationale behind the tool is that systems in general and multiagent system in particular, often have some hidden dynamics that contribute to the emergence of desired and undesired characteristics. Traditional sniffing tools simply display the message exchange. The...
Sustainability is currently one of the biggest challenges and drivers of manufacturing industry. With traditional automation approaches becoming evermore inadequate to support sustainable mass customized production, the research focus is moving towards agile systems that enact companies with the ability to quickly reconfigure their shop-floors by seamlessly deploying or removing modules. Such systems...
Simulation has played an important role along the years to predict systems' behaviour before their deployment. In the case of self-organising mechatronic systems simulation tools can help researchers and practitioners understanding the full potential of the solution as well as its underlying limitations. Self-organising mechatronic systems have passed a feasibility study and presented promising results...
The emergence of modern manufacturing paradigms together with the growing interest on distributed architectures has been increasing the use of biologically inspired solutions. However, somehow along the way, developed approaches have converged towards more traditional systems where the physical and logical decoupled nature of the system has been partially lost. In this context, the presented work...
With the emergence of new modern manufacturing paradigms new concepts, originally from the complexity sciences started to be introduced in the manufacturing systems, rendering traditional control approaches insufficient. Therefore, new approaches were developed, supported by the modern manufacturing paradigms bio-inspired background. However, somehow along the way the physical and logical nature of...
Electroencephalography and other neural recording techniques collect simultaneous data with a multitude of channels. A variety of methods have been proposed to analyze such high-dimensional data and go by various 3-letter acronyms such as PCA, ICA, LDA, SVM, CSP, DSS, CCA, CSD. What all of these methods have in common is that they integrate information by averaging across space, and the different...
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