Multy-dimensional composition by objectives in aspect-oriented requirements analysis

Thesis submitted to Faculdade de Ci��ncias e Tecnologia of Universidade Nova de Lisboa in partial fulfilment of the requirements for the degree of Master in Computer Science

Criador autom��tico de aplica����es nativas Android e iOS

Nos ��ltimos anos tem-se verificado um acentuado aumento na utiliza����o de dispositivos moveis a n��vel internacional, pelo que as aplica����es desenvolvidas para este tipo espec��fico de dispositivos, conhecidas por apps, tem vindo a ganhar uma enorme popularidade. S��o cada vez mais as empresas que procuram estar presentes nos mais diversos sistemas operativos m��veis, com o objectivo de suportar e desenvolver o seu neg��cio, alargando o seu leque de poss��veis consumidores. Neste sentido surgiram diversas ferramentas com a fun����o de facilitar o desenvolvimento de aplica����es m��veis, denominadas frameworks multi-plataforma. Estas frameworks conduziram ao aparecimento de plataformas web, que permitem criar aplica����es multi-plataforma sem ser obrigat��rio ter conhecimentos em programa����o. Assim, e a partir da an��lise de v��rios criadores online de aplica����es m��veis identificados e das diferentes estrat��gias de desenvolvimento de aplica����es m��veis existentes, foi proposta a implementa����o de uma plataforma web capaz de criar aplica����es nativas Android e iOS, dois dos sistemas operativos mais utilizados na actualidade. Apos desenvolvida a plataforma web, designada MobileAppBuilder, foi avaliada a sua Qualidade e as aplica����es criadas pela mesma, atrav��s do preenchimento de um question��rio por parte de 10 indiv��duos com forma����o em Engenharia Inform��tica, resultando numa classifica����o geral de ���excelente���. De modo a analisar o desempenho das aplica����es produzidas pela plataforma desenvolvida, foram realizados testes comparativos entre uma aplica����o da MobileAppBuilder e duas homologas de dois dos criadores online estudados, nomeadamente Andromo e Como. Os resultados destes testes revelaram que a MobileAppBuilder gera aplica����es menos pesadas, mais r��pidas e mais eficientes em alguns aspetos, nomeadamente no arranque.

Demonstration of the Multi-Agent Simulator of Competitive Electricity Markets

Electricity markets are complex environments with very particular characteristics. A critical issue concerns the constant changes they are subject to. This is a result of the electricity markets��� restructuring, performed so that the competitiveness could be increased, but with exponential implications in the increase of the complexity and unpredictability in those markets��� scope. The constant growth in markets unpredictability resulted in an amplified need for market intervenient entities in foreseeing market behavior. The need for understanding the market mechanisms and how the involved players��� interaction affects the outcomes of the markets, contributed to the growth of usage of simulation tools. Multi-agent based software is particularly well fitted to analyze dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. This paper presents the Multi-Agent System for Competitive Electricity Markets (MASCEM) ��� a simulator based on multi-agent technology that provides a realistic platform to simulate electricity markets, the numerous negotiation opportunities and the participating entities.

Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations

Electricity markets worldwide suffered profound transformations. The privatization of previously nationally owned systems; the deregulation of privately owned systems that were regulated; and the strong interconnection of national systems, are some examples of such transformations [1, 2]. In general, competitive environments, as is the case of electricity markets, require good decision-support tools to assist players in their decisions. Relevant research is being undertaken in this field, namely concerning player modeling and simulation, strategic bidding and decision-support.

Low cost inertial-based localization system for a service robot

Dissertation presented at Faculty of Sciences and Technology of the New University of Lisbon to attain the Master degree in Electrical and Computer Science Engineering

Methodology for collaborative enterprise reference ontology building

Dissertation presented at Faculdade de Ci��ncias e Tecnologia of Universidade Nova de Lisboa to obtain the Master degree in Electrical Engineering and Computer Science

Declarative approach to data extraction of web pages

Thesis submitted to Faculdade de Ci��ncias e Tecnologia of the Universidade Nova de Lisboa, in partial fulfilment of the requirements for the degree of Master in Computer Science

SOLAP+: extending the interaction model

Thesis submitted to Faculdade de Ci��ncias e Tecnologia of the Universidade Nova de Lisboa, in partial fulfillment of the requirements for the degree of Master in Computer Science

Classifica����o de sons card��acos usando Motifs: desenvolvimento de uma aplica����o m��vel

Este documento foi redigido no ��mbito da Tese, do Mestrado em Engenharia Inform��tica na ��rea de Tecnologias do Conhecimento e Decis��o, do Departamento de Engenharia Inform��tica, do ISEP, cujo tema �� classifica����o de sons card��acos usando motifs. Neste trabalho, apresenta-se um algoritmo de classifica����o de sons card��acos, capaz de identificar patologias card��acas. A classifica����o do som card��aco �� um trabalho desafiante dada a dificuldade em separar os sons ambiente (vozes, respira����o, contacto do microfone com superf��cies como pele ou tecidos) ou de ru��do dos batimentos card��acos. Esta abordagem seguiu a metodologia de descoberta de padr��es SAX (motifs) mais frequentes, em s��ries temporais relacionando-os com a ocorr��ncia sist��lica (S1) e a ocorr��ncia diast��lica (S2) do cora����o. A metodologia seguida mostrou-se eficaz a distinguir sons normais de sons correspondentes a patologia. Os resultados foram publicados na confer��ncia internacional IDEAS���14 [Oliveira, 2014], em Julho deste ano. Numa fase seguinte, desenvolveu-se uma aplica����o m��vel, capaz de captar os batimentos card��acos, de os tratar e os classificar. A classifica����o dos sons �� feita usando o m��todo referido no par��grafo anterior. A aplica����o m��vel, depois de tratar os sons, envia-os para um servidor, onde o programa de classifica����o �� executado, e recebe a resposta da classifica����o. �� tamb��m descrita a arquitetura aplicacional desenhada e as componentes que a constituem, as ferramentas e tecnologias utilizadas.

Brokerage Platform for Media Content Recommendation

Near real time media content personalisation is nowadays a major challenge involving media content sources, distributors and viewers. This paper describes an approach to seamless recommendation, negotiation and transaction of personalised media content. It adopts an integrated view of the problem by proposing, on the business-to-business (B2B) side, a brokerage platform to negotiate the media items on behalf of the media content distributors and sources, providing viewers, on the business-to-consumer (B2C) side, with a personalised electronic programme guide (EPG) containing the set of recommended items after negotiation. In this setup, when a viewer connects, the distributor looks up and invites sources to negotiate the contents of the viewer personal EPG. The proposed multi-agent brokerage platform is structured in four layers, modelling the registration, service agreement, partner lookup, invitation as well as item recommendation, negotiation and transaction stages of the B2B processes. The recommendation service is a rule-based switch hybrid filter, including six collaborative and two content-based filters. The rule-based system selects, at runtime, the filter(s) to apply as well as the final set of recommendations to present. The filter selection is based on the data available, ranging from the history of items watched to the ratings and/or tags assigned to the items by the viewer. Additionally, this module implements (i) a novel item stereotype to represent newly arrived items, (ii) a standard user stereotype for new users, (iii) a novel passive user tag cloud stereotype for socially passive users, and (iv) a new content-based filter named the collinearity and proximity similarity (CPS). At the end of the paper, we present off-line results and a case study describing how the recommendation service works. The proposed system provides, to our knowledge, an excellent holistic solution to the problem of recommending multimedia contents.

Characterization of the portuguese SSS into the Europe: a contribution

Nowadays, Short Sea Shipping (SSS) is an essential part in European multi-modal transport system, representing approximately thirty-seven per cent of intra-Community transactions in tonnes per kilometre (tkm). Since 2001, the European Shortsea Network (ESN) in partnership with the short-sea Promotion Centres (SPC) of each Member State of the European Union (EU) have managed to make significant progress in the promotion and development of this mode of transport. This paper aims to assess and analyse the SSS of containerised goods in Portugal and its articulation with other EU routes and also other transport modes. The current SSS infrastructure, how the sector is organized, as well as the future perspectives for the sector are also analysed for the case of Portugal. The analyses are based on a survey that was carried out on the logistics operators, navigation agents, freight forwarders, and the leading imports and exports manufacturers in Portugal.

A Real Time Vision System for Autonomous Systems: Characterization during a Middle Size Match

in RoboCup 2007: Robot Soccer World Cup XI

P-SOCRATES: A parallel software framework for time-critical many-core systems

Article in Press, Corrected Proof

Ontologies learn by searching

Dissertation to obtain the Master degree in Electrical Engineering and Computer Science

Simulation Environment for Multi-Robot Cooperative 3D Target Perception

4th International Conference, SIMPAR 2014, Bergamo, Italy, October 20-23, 2014