Data fusion with computational intelligence techniques: a case study of fuzzy inference for terrain assessment

Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

ECG wave detector and delineation with wavelets

Proceedings of the International Conference on Computational Intelligence in Medicine Healthcare, CIMED 2005, Costa da Caparica, June 29 - July 1, 2005

Da intercepção de comunicações, acções encobertas e serviços de informações

The Portuguese Intelligence Services have their operational skills limited due to the grievances caused by the Dictatorship and, in particular, by its political police. With the help of historical elements, and by analyzing current legislation, we demonstrate that such grievances are today unjustified and misplaced, mainly taking into account the Risk Society’s multifaceted threats. Also part of our analysis is the impugnment of the Constitutional Court’s decision nº 413/2015, which pronounced unconstitutional the norm contained in Decree nº 426/XII, of the Republic’s Assembly, article nº 78, nº2, which intended to allow Intelligence Services access to the so-called “metadata”, as well as to tax and banking information. It is our understanding, and we demonstrate it in our dissertation, that should be allowed the access of, not only the above mentioned information, but also the means known as communications interception and undercover operations to the Intelligence Services, as long as properly supervised and inspected.

Fiscalização dos serviços de informações em Portugal

The present work offers a brief historical and evolutionary introduction to the legal basis of the Portuguese Republic Intelligence System (SIRP) which comprises two services – the Security Intelligence Service (SIS) and the Defence Strategic Intelligence Service (SIED) – and two entities responsible for its oversight – the Supervisory Body (CFSIRP) and the Data Monitoring Committee (CFD), also responsible for supervising the Military Intelligence and Security Centre (CISMIL) of the General Staff of the Armed Forces (EMGFA). The initial narrative subsequently leads us to a detailed analysis of the Portuguese Intelligence services' current model of monitoring, as well as of the legislator’s options, namely in the legal drafting field, used within the construction and definition of the legal structure that currently regulates the Portuguese Republic Intelligence System. For the purposes of this study we have broadly examined different models of the European Union, in particular those of Belgium, the Netherlands and Croatia. We have also transposed to the text the valuable contributions collected during the research phase, more precisely the replies to questionnaires and interviews conducted with certain individuals selected according to their knowledge and affinity with the subject of this study, including members and former members of the Supervisory Body and former directors of the three portuguese intelligence services. The present dissertation intends to contribute to the development of this subject, promoting critical analysis, within and beyond the academia, with the aim that some of its reflections might be useful towards the intelligence system’s future reform, particularly in what concerns intelligence services monitoring.

FEW phone file system

Trabalho apresentado no âmbito do Mestrado em Engenharia Informática, como requisito parcial para obtenção do grau de Mestre em Engenharia Informática

Ambient intelligence in home care in the Netherlands

Paper based in the report for the unit “Social Factors of Innovation” of the Master degree on Computer Sciences at Faculty of Sciences and Technology, Universidade Nova de Lisboa, under the supervision of António Brandão Moniz

A flexible navigation system for autonomous robots operating in heterogeneous environments

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

2D position system for a mobile robot in unstructured environments

Nowadays, several sensors and mechanisms are available to estimate a mobile robot trajectory and location with respect to its surroundings. Usually absolute positioning mechanisms are the most accurate, but they also are the most expensive ones, and require pre installed equipment in the environment. Therefore, a system capable of measuring its motion and location within the environment (relative positioning) has been a research goal since the beginning of autonomous vehicles. With the increasing of the computational performance, computer vision has become faster and, therefore, became possible to incorporate it in a mobile robot. In visual odometry feature based approaches, the model estimation requires absence of feature association outliers for an accurate motion. Outliers rejection is a delicate process considering there is always a trade-off between speed and reliability of the system. This dissertation proposes an indoor 2D position system using Visual Odometry. The mobile robot has a camera pointed to the ceiling, for image analysis. As requirements, the ceiling and the oor (where the robot moves) must be planes. In the literature, RANSAC is a widely used method for outlier rejection. However, it might be slow in critical circumstances. Therefore, it is proposed a new algorithm that accelerates RANSAC, maintaining its reliability. The algorithm, called FMBF, consists on comparing image texture patterns between pictures, preserving the most similar ones. There are several types of comparisons, with different computational cost and reliability. FMBF manages those comparisons in order to optimize the trade-off between speed and reliability.

Risk of employing an evolvable production system

Nowadays manufacturing companies are facing a more challenging environment due to the unpredictability of the markets in order to survive. Enterprises need to keep innovating and deliver products with new internal or external characteristics. There are strategies and solutions, to different organisational level from strategic to operational, when technology is growing faster in operational level, more specifically in manufacturing system. This means that companies have to deal with the changes of the emergent manufacturing systems while it can be expensive and not easy to be implement. An agile manufacturing system can help to cope with the markets changeability. Evolvable Production Systems (EPS) is an emergent paradigm which aims to bring new solutions to deal with changeability. The proposed paradigm is characterised by modularity and intends to introduce high flexibility and dynamism at shop floor level through the use of the evolution of new computational devices and technology. This new approach brings to enterprises the ability to plug and unplug new devices and allowing fast reformulation of the production line without reprogramming. There is no doubt about the advantages and benefits of this emerging technology but the feasibility and applicability is still under questioned. Most researches in this area are focused on technical side, explaining the advantages of those systems while there are no sufficient works discussing the implementation risks from different perspective, including business owner. The main objective of this work is to propose a methodology and model to identify, classify and measure potential risk associated with an implementation of this emergent paradigm. To quantify the proposed comprehensive risk model, an Intelligent Decision system is developed employing Fuzzy Inference System to deal with the knowledge of experts, as there are no historical data and sufficient research on this area. The result can be the vulnerability assessment of implementing EPS technology in manufacturing companies when the focus is more on SMEs. The present dissertation used the experts’ knowledge and experiences, who were involved in FP7 project IDEAS, which is one of the leading projects in this area.