Sistema de recolha e execução de rotas (GPS) e partilha em rede social RecGPS

A popularização dos PDA (Personal Data Assistant ) originou um aumento das suas capacidades e funcionalidades, nomeadamente a inclusão de sistemas de posicionamento global(GPS - Global Positioning System ). Tendo como objectivo o aproveitamento das capacidades deste tipo de dispositivos surge o sistema RecGPS. O RecGPS é um pacote de aplicações para recolha, gestão, análise e partilha de percursos (rotas). A recolha e armazenamento das rotas é efectuada através de uma aplicação instalada no PDA com recurso à funcionalidade GPS do mesmo. A gestão e análise das rotas pode ser efectuada nas aplicações PDA e web, sendo a partilha efectuada através de aplicação web (portal/rede social). A colecção de rotas tanto pode ser armazenada no dispositivo como através da aplicação web. Ao nível do PDA para além da criação de novas rotas é possível executar as rotas existentes, efectuando recolha de dados que permitem a comparação com as execuções anteriores. A rede social permite a partilha de rotas e fomenta a discussão dos utilizadores sobre as mesmas. Para permitir a veri cação das capacidades da aplicação para PDA são efectuados testes. Tendo por base um conjunto de amostras são obtidos resultados através da aplicação e efectuada a sua comparação.

Sistema de sugestão de restaurantes

Actualmente assiste-se a uma difusão cada vez mais acentuada de dispositivos móveis multi-funções que incluem suporte para GPS (Global Positioning System). Outro fenómeno recente é a elevada aceitação dos serviços de rede social, que são cada vez mais numerosos e com objectivos diversificados. Alguns destes serviços de rede social disponibilizam APIs que permitem o acesso programático à informação nelescontida, viabilizando desse modo a adição de novas funcionalidades, bem como a utilização desta informação por aplicações externas. Aproveitando estes fenómenos, pretende-se implementar um sistema que permita ao utilizador obter no seu dispositivo móvel, de forma simples e imediata, sugestões de restaurantes mais próximos da sua localização actual. A lista de sugestões é elaborada tendo como base vários critérios, entre eles, a classificação dada pelos elementos da rede social em que o utilizador participe. Ambiciona-se utilização à escala mundial e consequentemente, pretende-se que o sistema tenha as características desejáveis num sistema distribuído de larga escala, i.e. escalabilidade e elevada disponibilidade. A solução Find-a-meal é um sistema de sugestão de restaurantes através do qual, especificando uma localização, são obtidas sugestões personalizadas com base nas preferências da rede social do utilizador. Este sistema foi desenhado para suportar o aumento de escala no sentido horizontal e ter elevada disponibilidade

GuideMe: service for consulting, publication and recommendation of touristic locations

Trabalho de Projeto realizado para obtenção do grau de Mestre em Engenharia Informática e de Computadores

Simulação de plataformas para dispositivos móveis: infraestrutura de simulação sensorial para android

Projeto para obtenção do grau de Mestre em Engenharia Informática e de Computadores

Planeamento de rota em ambiente desconhecido

Dissertação para a obtenção do grau de Mestre em Engenharia Electrotécnica Ramo de Automação e Electrónica Industrial

Fly by data link: feasibility of a relative navigation solution for aviation relying on a future L-band data link

Trabalho final de Mestrado para obtenção do grau de Mestre em Engenharia de Electrónica e Telecomunicações

2D PCA-Based localization for mobile robots in unstructured environments

In this paper a new PCA-based positioning sensor and localization system for mobile robots to operate in unstructured environments (e. g. industry, services, domestic ...) is proposed and experimentally validated. The inexpensive positioning system resorts to principal component analysis (PCA) of images acquired by a video camera installed onboard, looking upwards to the ceiling. This solution has the advantage of avoiding the need of selecting and extracting features. The principal components of the acquired images are compared with previously registered images, stored in a reduced onboard image database, and the position measured is fused with odometry data. The optimal estimates of position and slippage are provided by Kalman filters, with global stable error dynamics. The experimental validation reported in this work focuses on the results of a set of experiments carried out in a real environment, where the robot travels along a lawn-mower trajectory. A small position error estimate with bounded co-variance was always observed, for arbitrarily long experiments, and slippage was estimated accurately in real time.

Design of a new test chamber for evaluation of the toxicity of rubber infill

A test chamber was projected and built (according to ISO 16000-9 Standard) to simulate atmospheric conditions experienced by rubber infill (when applied in synthetic turf pitches) and measure accurately the airborne emissions of pollutants such as dusts and volatile organic compounds (VOC), as well as pollutants present in leachates. It should be pointed out that standard ISO 16000-9 is only concerned with the determination of the emission of VOC from building products and furnishing (not specific of synthetic turf materials), whereas other standards are concerned with the emission of leachates only. This procedure is to be considered as a technical option to the lysimeter "global turf system evaluation" when the rubber infill alone is to be evaluated. The advantage of the proposed option considering this "test chamber" is its simplicity and economy. This test chamber is actually installed and being used for tests in LAIST.

Estratégia de comunicação da burberry em Portugal: um estudo de caso

Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Gestão Estratégica das Relações Públicas.

Reactores a tório: o futuro da energia nuclear de fissão

Dissertação para a obtenção do grau de mestre em Engenharia Electrotécnica Ramo de Energia

RFID together with multi-agent systems to control global value chains

Nowadays, the cooperative intelligent transport systems are part of a largest system. Transportations are modal operations integrated in logistics and, logistics is the main process of the supply chain management. The supply chain strategic management as a simultaneous local and global value chain is a collaborative/cooperative organization of stakeholders, many times in co-opetition, to perform a service to the customers respecting the time, place, price and quality levels. The transportation, like other logistics operations must add value, which is achieved in this case through compression lead times and order fulfillments. The complex supplier's network and the distribution channels must be efficient and the integral visibility (monitoring and tracing) of supply chain is a significant source of competitive advantage. Nowadays, the competition is not discussed between companies but among supply chains. This paper aims to evidence the current and emerging manufacturing and logistics system challenges as a new field of opportunities for the automation and control systems research community. Furthermore, the paper forecasts the use of radio frequency identification (RFID) technologies integrated into an information and communication technologies (ICT) framework based on distributed artificial intelligence (DAI) supported by a multi-agent system (MAS), as the most value advantage of supply chain management (SCM) in a cooperative intelligent logistics systems. Logistical platforms (production or distribution) as nodes of added value of supplying and distribution networks are proposed as critical points of the visibility of the inventory, where these technological needs are more evident.

Global and local detection of liver steatosis from ultrasound

Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. Steatosis is usually a diffuse liver disease, since it is globally affected. However, steatosis can also be focal affecting only some foci difficult to discriminate. In both cases, steatosis is detected by laboratorial analysis and visual inspection of ultrasound images of the hepatic parenchyma. Liver biopsy is the most accurate diagnostic method but its invasive nature suggest the use of other non-invasive methods, while visual inspection of the ultrasound images is subjective and prone to error. In this paper a new Computer Aided Diagnosis (CAD) system for steatosis classification and analysis is presented, where the Bayes Factor, obatined from objective intensity and textural features extracted from US images of the liver, is computed in a local or global basis. The main goal is to provide the physician with an application to make it faster and accurate the diagnosis and quantification of steatosis, namely in a screening approach. The results showed an overall accuracy of 93.54% with a sensibility of 95.83% and 85.71% for normal and steatosis class, respectively. The proposed CAD system seemed suitable as a graphical display for steatosis classification and comparison with some of the most recent works in the literature is also presented.

A biosignal embedded system for physiological computing

Thesis submitted in the fulfilment of the requirements for the Degree of Master in Electronic and Telecomunications Engineering

Dosimetria e análise de incertezas em braquiterapia ginecológica

Mestrado em Radiações Aplicadas às tecnologias da Saúde

Global localization with non-quantized local image features

In the field of appearance-based robot localization, the mainstream approach uses a quantized representation of local image features. An alternative strategy is the exploitation of raw feature descriptors, thus avoiding approximations due to quantization. In this work, the quantized and non-quantized representations are compared with respect to their discriminativity, in the context of the robot global localization problem. Having demonstrated the advantages of the non-quantized representation, the paper proposes mechanisms to reduce the computational burden this approach would carry, when applied in its simplest form. This reduction is achieved through a hierarchical strategy which gradually discards candidate locations and by exploring two simplifying assumptions about the training data. The potential of the non-quantized representation is exploited by resorting to the entropy-discriminativity relation. The idea behind this approach is that the non-quantized representation facilitates the assessment of the distinctiveness of features, through the entropy measure. Building on this finding, the robustness of the localization system is enhanced by modulating the importance of features according to the entropy measure. Experimental results support the effectiveness of this approach, as well as the validity of the proposed computation reduction methods.