Web GIS to support irrigation management: a prototype for SAGRA network, Alentejo Portugal

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

Modelling a network of heterogeneous e-learning systems

In recent years emerged several initiatives promoted by educational organizations to adapt Service Oriented Architectures (SOA) to e-learning. These initiatives commonly named eLearning Frameworks share a common goal: to create flexible learning environments by integrating heterogeneous systems already available in many educational institutions. However, these frameworks were designed for integration of systems participating in business like processes rather than on complex pedagogical processes as those related to automatic evaluation. Consequently, their knowledge bases lack some fundamental components that are needed to model pedagogical processes. The objective of the research described in this paper is to study the applicability of eLearning frameworks for modelling a network of heterogeneous eLearning systems, using the automatic evaluation of programming exercises as a case study. The paper surveys the existing eLearning frameworks to justify the selection of the e-Framework. This framework is described in detail and identified the necessary components missing from its knowledge base, more precisely, a service genre, expression and usage model for an evaluation service. The extensibility of the framework is tested with the definition of this service. A concrete model for evaluation of programming exercises is presented as a validation of the proposed approach.

Social network analysis applied to knowledge creation and transfer in the portuguese agricultural R&D field: an exploratory study

Paper presented at the 9th European Conference on Knowledge Management, Southampton Solent University, Southampton, UK, 4-5 Sep. 2008. URL: http://academic-conferences.org/eckm/eckm2008/eckm08-home.htm

Enterprise information portals: potential for evaluating research for knowledge management and human capital assets using social network analysis

Paper presented at the ECKM 2010 – 11th European Conference on Knowledge Management, 2-3 September, 2010, Famalicão, Portugal. URL: http://www.academic-conferences.org/eckm/eckm2010/eckm10-home.htm

Projecto de parceria entre a ONGD Estímulo e a Rede de Farmácias Portuguesas: a união de esforços entre sectores para a resolução de problemas contemporâneos

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

Exciting dynamical behavior in a network of two coupled rings of Chen oscillators

We study exotic patterns appearing in a network of coupled Chen oscillators. Namely, we consider a network of two rings coupled through a “buffer” cell, with Z3×Z5 symmetry group. Numerical simulations of the network reveal steady states, rotating waves in one ring and quasiperiodic behavior in the other, and chaotic states in the two rings, to name a few. The different patterns seem to arise through a sequence of Hopf bifurcations, period-doubling, and halving-period bifurcations. The network architecture seems to explain certain observed features, such as equilibria and the rotating waves, whereas the properties of the chaotic oscillator may explain others, such as the quasiperiodic and chaotic states. We use XPPAUT and MATLAB to compute numerically the relevant states.

Rheology of the cytoskeleton as a fractal network

We model the cytoskeleton as a fractal network by identifying each segment with a simple Kelvin-Voigt element with a well defined equilibrium length. The final structure retains the elastic characteristics of a solid or a gel, which may support stress, without relaxing. By considering a very simple regular self-similar structure of segments in series and in parallel, in one, two, or three dimensions, we are able to express the viscoelasticity of the network as an effective generalized Kelvin-Voigt model with a power law spectrum of retardation times L similar to tau(alpha). We relate the parameter alpha with the fractal dimension of the gel. In some regimes ( 0 < alpha < 1), we recover the weak power law behaviors of the elastic and viscous moduli with the angular frequencies G' similar to G" similar to w(alpha) that occur in a variety of soft materials, including living cells. In other regimes, we find different power laws for G' and G".

Chronic disease prevention and health promotion. Public policies and social network analysis of the hospitals services and oyhers health and social organizations to support joint action for children with diabetes

Comunicação apresentada na 18th Conference International of Health Promotion Hospitals & Health Services "Tackling causes and consequences of inequalities in health: contributions of health services and the HPH network", em Manchester de 14-16 de april de 2010

Impact of europeanization in policy network governance pattrons

Comunicação apresentada na 30th Sunbelt Social Networks Conference, em Riva del Garda, Itália, a 3 de Julho de 2010.

Spectral and dynamical invariants in a complete clustered network

The main result of this work is a new criterion for the formation of good clusters in a graph. This criterion uses a new dynamical invariant, the performance of a clustering, that characterizes the quality of the formation of clusters. We prove that the growth of the dynamical invariant, the network topological entropy, has the effect of worsening the quality of a clustering, in a process of cluster formation by the successive removal of edges. Several examples of clustering on the same network are presented to compare the behavior of other parameters such as network topological entropy, conductance, coefficient of clustering and performance of a clustering with the number of edges in a process of clustering by successive removal.

Transporte marítimo de curta distância na União Europeia e em Portugal

O transporte marítimo sempre assumiu uma importância primordial no transporte, quer de pessoas como de mercadorias. O uso das vias marítimas para o transporte de mercadorias é uma prática utilizada desde os tempos antigos. O transporte marítimo na Europa sempre foi uma forma eficaz e de baixo custo de transportar passageiros e mercadorias de um local para outro. Atualmente, todos os modos de transporte necessitam de melhorar a sua eficiência e reduzir o montante de poluentes que libertam para o meio-ambiente. O transporte marítimo de curta distância (TMCD) é parte essencial no sistema de transporte multimodal Europeu representando cerca de 37% das transações intracomunitárias (tkm). Os resultados alcançados advêm desde que, em 2001, a European Shortsea Network (ESN) em parceria com os Shortsea Promotion Centres (SPC) de cada Estado-Membro da União Europeia (EU) conseguiram efetuar progressos significativos na promoção e desenvolvimento do transporte por esta via. Esta tese de mestrado pretende caraterizar o TMCD na EU e em Portugal e a sua articulação com os outros meios de transporte de mercadorias. Será também analisada a situação Portuguesa ao nível do transporte marítimo de mercadorias fazendo especial relevância à mercadoria contentorizada, às infraestruturas atualmente existentes em Portugal assim como às perspetivas futuras para o setor. A metodologia utilizada inclui a revisão de literatura da investigação efetuada sobre o setor, a recolha de informação primária através do instrumento inquérito e a recolha de informação estatística a partir de fontes secundárias, permitindo a caraterização do setor. O inquérito foi desenvolvido e partilhado com mais de um milhar de empresas a operar em Portugal, nas que se incluem as empresas transportadoras, operadores logísticos, agentes de navegação e as principais empresas exportadoras/importadoras a operar em Portugal, tendo-se obtido 106 respostas válidas. A nível nacional, o inquérito realizado permitiu confirmar que os principais portos logísticos para a movimentação internacional de mercadorias são os portos de Leixões, Lisboa, Sines e Setúbal, estando a maioria das empresas inquiridas localizadas no hinterland destes portos. O inquérito permitiu também concluir que o facto de o transporte rodoviário ser um meio de transporte rápido, de baixo custo para curtas e médias distâncias, de elevada frequência de transporte, de oferecer elevada capacidade e diversos tipos de carga transportada, de oferecer serviços Porta-a-Porta, da elevada flexibilidade e mobilidade oferecida, assim como a rapidez das operações de carga e descarga continuam a contribuir para a elevada competitividade deste modo de transporte de mercadorias, sendo as razões pelo qual este modo é escolhido, pese embora, ser o modo mais poluente por tonelada transportada. Os modos de transporte TMCD e ferroviário apenas são alvo de escolha, como modo de transporte de mercadorias, por parte das empresas mais responsáveis socialmente e ambiental. O inquérito permitiu ainda concluir que, para haver uma melhor articulação entre o TMCD com outros meios de transporte, é necessário que sejam disponibilizados novos serviços, portos e terminais logísticos com serviços privatizados, assim como a redução das tarifas aplicáveis TMCD.

Metalearner based on Dynamic Neural Network for Strategic Bidding in electricity Markets

The restructuring of electricity markets, conducted to increase the competition in this sector, and decrease the electricity prices, brought with it an enormous increase in the complexity of the considered mechanisms. The electricity market became a complex and unpredictable environment, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. Software tools became, therefore, essential to provide simulation and decision support capabilities, in order to potentiate the involved players’ actions. This paper presents the development of a metalearner, applied to the decision support of electricity markets’ negotiation entities. The proposed metalearner executes a dynamic artificial neural network to create its own output, taking advantage on several learning algorithms implemented in ALBidS, an adaptive learning system that provides decision support to electricity markets’ players. The proposed metalearner considers different weights for each strategy, depending on its individual quality of performance. The results of the proposed method are studied and analyzed in scenarios based on real electricity markets’ data, using MASCEM - a multi-agent electricity market simulator that simulates market players’ operation in the market.

Demand Response Design and Use Based on Network Locational Marginal Prices

Power systems have been experiencing huge changes mainly due to the substantial increase of distributed generation (DG) and the operation in competitive environments. Virtual Power Players (VPP) can aggregate several players, namely a diversity of energy resources, including distributed generation (DG) based on several technologies, electric storage systems (ESS) and demand response (DR). Energy resources management gains an increasing relevance in this competitive context. This makes the DR use more interesting and flexible, giving place to a wide range of new opportunities. This paper proposes a methodology to support VPPs in the DR programs’ management, considering all the existing energy resources (generation and storage units) and the distribution network. The proposed method is based on locational marginal prices (LMP) values. The evaluation of the impact of using DR specific programs in the LMP values supports the manager decision concerning the DR use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 33-bus network with intensive use of DG.

Definition of Distribution Network Tariffs Considering Distribution Generation and Demand Response

The use of distribution networks in the current scenario of high penetration of Distributed Generation (DG) is a problem of great importance. In the competitive environment of electricity markets and smart grids, Demand Response (DR) is also gaining notable impact with several benefits for the whole system. The work presented in this paper comprises a methodology able to define the cost allocation in distribution networks considering large integration of DG and DR resources. The proposed methodology is divided into three phases and it is based on an AC Optimal Power Flow (OPF) including the determination of topological distribution factors, and consequent application of the MW-mile method. The application of the proposed tariffs definition methodology is illustrated in a distribution network with 33 buses, 66 DG units, and 32 consumers with DR capacity.