Automated traffic route identification through the shared nearest neighbour algorithm

Many organisations need to extract useful information from huge amounts of movement data. One example is found in maritime transportation, where the automated identification of a diverse range of traffic routes is a key management issue for improving the maintenance of ports and ocean routes, and accelerating ship traffic. This paper addresses, in a first stage, the research challenge of developing an approach for the automated identification of traffic routes based on clustering motion vectors rather than reconstructed trajectories. The immediate benefit of the proposed approach is to avoid the reconstruction of trajectories in terms of their geometric shape of the path, their position in space, their life span, and changes of speed, direction and other attributes over time. For clustering the moving objects, an adapted version of the Shared Nearest Neighbour algorithm is used. The motion vectors, with a position and a direction, are analysed in order to identify clusters of vectors that are moving towards the same direction. These clusters represent traffic routes and the preliminary results have shown to be promising for the automated identification of traffic routes with different shapes and densities, as well as for handling noise data.

Medição do capital Intelectual – uma meta da Nova Economia

A informação e a comunicação provocaram a abertura a um mercado global, produziram e semearam conhecimento e os mercados evoluíram e incentivaram a competitividade e a inovação. As empresas mais competitivas são as que usam novas tecnologias de informação, as que apostam nos recursos humanos qualificados, as que evoluem na investigação e as que se centram na estratégia e nas ligações estratégicas. Estas empresas debatem-se com um novo activo que adquire cada vez mais importância e relevo no seu dia-a-dia, tornando-se, em algumas delas, o principal factor de produção. Segundo Stewart (1998, p.92) “o capitalismo intelectual necessita desesperadamente de uma linguagem prática, caso contrário cairá num charco de lodo verbal sem sentido“. O objectivo deste trabalho centra-se na análise de alguns dos métodos desenvolvidos para valorizar o activo já consagrado como o que mais contribui para o desenvolvimento empresarial e social: o capital intelectual.

Multi-centre validation of an automatic algorithm for fast 4D myocardial segmentation in cine CMR datasets

Quantitative analysis of cine cardiac magnetic resonance (CMR) images for the assessment of global left ventricular morphology and function remains a routine task in clinical cardiology practice. To date, this process requires user interaction and therefore prolongs the examination (i.e. cost) and introduces observer variability. In this study, we sought to validate the feasibility, accuracy, and time efficiency of a novel framework for automatic quantification of left ventricular global function in a clinical setting.