Lista de Projetos

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This research explores the descriptive and generative potentials of shape grammars to unveil the order of urban morphological complexity underlying Portuguese treatises and the knowledge embedded in Portuguese urban cartographic representations of architecture and military engineering from the 16th to the 18th century. The shape grammar made it possible to infer the grammatical rules of composition based on the written descriptions provided by Portuguese treatises, as well as to decode the geometry of ideal urban plans and built cities. This research suggests that the historical cities, both built and ideal were based on a structured knowledge-based process from where it is possible not only to retrieve a generative parametric urban grammar – UrbanGENE – but also to construct 2D shape grammar interpreter, which is capable of iteratively generating Portuguese planimetric proportional and symmetrical urban systems. This suggests that the knowledge and computational tools achieved could be successfully deployed in teaching and learning of urban history.
Informação do Projeto
2009-01-01
2018-12-31
Parceiros do Projeto
O projecto reporta-se à realização de um trabalho de análise de conteúdo de espaços noticiosos emitidos por serviços de programas de radiodifusão de cobertura nacional. Serão analisados os noticiários emitidos por três rádios: Antena 1, Rádio Renascença – canal 1, e Rádio Comercial, durante o ano de 2008.
Informação do Projeto
2008-12-22
2009-04-20
Parceiros do Projeto
O projecto refere-se à realização de um trabalho de análise de conteúdo de peças jornalísticas (de imprensa, rádio e televisão) sobre divulgação de sondagens.
Informação do Projeto
2008-12-22
2009-07-17
Parceiros do Projeto
The main goal of COILS is the design and evaluation of efficient methods for the provision of broadband services and applications based on MBMS to groups of mobile users located mainly in Personal Cells. The use of MBMS over Personal Cells will support the efficient use of radio and network resources, while also providing rich context information to applications and services. Merging these two frameworks promises enhanced multimedia application provisioning, benefiting end users and operators alike. The technologies investigated during the course of the project will generate considerable novel intellectual property that will become the property of IT.
Informação do Projeto
2008-12-01
2010-11-01
Parceiros do Projeto
Non destructive testing (NDT) is of paramount importance for ensuring the integrity of materials. Eddy currents testing (ECT) is one of several methods like, remote field testing (RFT), flux leakage and Barkhausen noise, that use electromagnetic theory to examine conducting materials. It is a particularly attractive test because it offers both very high detectability and high scanning speeds. Besides direct contact with the test material is not necessary.Nowadays, with the use of microprocessor based measuring instruments, the potential and user-friendliness of eddy currents testing has been greatly enhanced. The role of the computer has two different components: one related with the possibility to automate the measuring system (data acquisition control, data processing, signal classification and displaying) and other with numerical modeling of the testing process. The computing capabilities are used to quantitatively predict eddy current signals for realistic situations and to evaluate crack profiles from testing signals by solving the inverse problem of the physical phenomenon under test. At this time the tasks related to the data acquisition, signal processing and graphical representation, are already under way, with some work already published [1-6,8,9].The point is that the inverse problem of computing the crack profiles from the eddy currents data is ill-posed, i.e., the crack profiles are not univocally determined by the measured eddy currents. A possible approach to mitigate the ill-posedness nature of this inverse problem is to classify the crack profiles according to the different types of material defects. The idea is to exploit the a priori knowledge of the problem and thus select the proper defect model. In order to investigate the assumptions of the technique, particularly, patterns identification, a huge amount of data is essential and experimentation is necessary.
Informação do Projeto
2008-12-01
2010-12-01
Parceiros do Projeto