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.

Estimating Local Part Thickness in Midplane Meshes for Finite Element Analysis

Within the development of motor vehicles, crash safety (e.g. occupant protection, pedestrian protection, low speed damageability), is one of the most important attributes. In order to be able to fulfill the increased requirements in the framework of shorter cycle times and rising pressure to reduce costs, car manufacturers keep intensifying the use of virtual development tools such as those in the domain of Computer Aided Engineering (CAE). For crash simulations, the explicit finite element method (FEM) is applied. The accuracy of the simulation process is highly dependent on the accuracy of the simulation model, including the midplane mesh. One of the roughest approximations typically made is the actual part thickness which, in reality, can vary locally. However, almost always a constant thickness value is defined throughout the entire part due to complexity reasons. On the other hand, for precise fracture analysis within FEM, the correct thickness consideration is one key enabler. Thus, availability of per element thickness information, which does not exist explicitly in the FEM model, can significantly contribute to an improved crash simulation quality, especially regarding fracture prediction. Even though the thickness is not explicitly available from the FEM model, it can be inferred from the original CAD geometric model through geometric calculations. This paper proposes and compares two thickness estimation algorithms based on ray tracing and nearest neighbour 3D range searches. A systematic quantitative analysis of the accuracy of both algorithms is presented, as well as a thorough identification of particular geometric arrangements under which their accuracy can be compared. These results enable the identification of each technique’s weaknesses and hint towards a new, integrated, approach to the problem that linearly combines the estimates produced by each algorithm.

Papa Bento XVI e Papa Francisco na grande final!

A chamada Lei do Branqueamento de Capitais - Lei 25/2008, de 5/6 e alterações -, considera que estão sujeitas a especiais obrigações os “Notários, conservadores de registos, advogados, solicitadores e outros profissionais independentes, constituídos em sociedade ou em prática individual, que intervenham ou assistam, por conta de um cliente ou noutras circunstâncias, em operações: § vi) De alienação e aquisição de direitos sobre praticantes de actividades desportivas profissionais;”. Estamos a pensar, como é óbvio, nas transferências de jogadores de futebol, nomeadamente na Europa, as quais atingem somas astronómicas e muitas vezes ocultas. São por demais evidentes as notícias da comunicação social que dão conta que, em muitos dos casos, os verdadeiros valores envolvidos não são os declarados. Quer para fugir aos impostos, quer para esconder o pagamento de avultadas comissões extraordinárias; Abstract: The Call of the Money Laundering Law - Law 25/2008, of 5/6 and change - considers that are subject to the special obligations "notaries, registrars, lawyers, solicitors and other independent professionals, made in society or in practice individual, that participating or assisting, on behalf of a client or other circumstances in operations: § vi) sale and acquisition of rights to practitioners of professional sports activities; ". We are thinking, of course, transfers of football players, particularly in Europe, which reach astronomical sums and often hidden. Are all too apparent the news media that realize that in many cases the true values involved are not declared. Want to evade taxes or to hide the payment of large exceptional fees.