5 resultados para ART ALGORITHM

em CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal


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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.

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This work presents an analysis of the cultural and artistic field, positively compromised with social and political questions. The authors start with the categorization of the idea of culture and move to vindication art movements. These movements, which followed the first vanguards and worked from the compromise with “otherness”, are at the origin of the contemporary denomination of political art. In this context, the authors approach the origins of activist art, referring to issues of gender, multiculturalism, globalization, and poverty. The different forms of presenting content are also an object of analysis: from art tradition to the contamination of daily life, from local to global, from street contact to digital.

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Image segmentation is an ubiquitous task in medical image analysis, which is required to estimate morphological or functional properties of given anatomical targets. While automatic processing is highly desirable, image segmentation remains to date a supervised process in daily clinical practice. Indeed, challenging data often requires user interaction to capture the required level of anatomical detail. To optimize the analysis of 3D images, the user should be able to efficiently interact with the result of any segmentation algorithm to correct any possible disagreement. Building on a previously developed real-time 3D segmentation algorithm, we propose in the present work an extension towards an interactive application where user information can be used online to steer the segmentation result. This enables a synergistic collaboration between the operator and the underlying segmentation algorithm, thus contributing to higher segmentation accuracy, while keeping total analysis time competitive. To this end, we formalize the user interaction paradigm using a geometrical approach, where the user input is mapped to a non-cartesian space while this information is used to drive the boundary towards the position provided by the user. Additionally, we propose a shape regularization term which improves the interaction with the segmented surface, thereby making the interactive segmentation process less cumbersome. The resulting algorithm offers competitive performance both in terms of segmentation accuracy, as well as in terms of total analysis time. This contributes to a more efficient use of the existing segmentation tools in daily clinical practice. Furthermore, it compares favorably to state-of-the-art interactive segmentation software based on a 3D livewire-based algorithm.

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Resumo: 1 – Sumário do Acórdão do Tribunal Constitucional n.º 212/1995, de 20 de Abril; 2 – Parte principal do Acórdão do Tribunal Constitucional n.º 212/1995, de 20 de Abril: cfr. http://www.tribunalconstitucional.pt/tc/acordaos/19950212.html , 18 de Maio de 2012; 3 – Anotação sintética; 3.1 – Introdução à anotação sintética e suas características neste caso concreto; 4 – O RIAECSP (Regime das Infracções Anti-Económicas e Contra a Saúde Pública) e a responsabilidade criminal das pessoas colectivas e equiparadas, prevista no seu art. 3.º; 5 – Societas delinquere non potest?; 6 – Breves traços históricos do brocardo societas delinquere non potest; 7 - Alguns dos marcos relevantes na Doutrina penal portuguesa recente acerca da responsabilidade penal das organizações, entes colectivos, pessoas colectivas, pessoas jurídicas; 8 - Os art.os 12.º/2 e 2.º da CRP e a Responsabilidade Criminal dos Entes Colectivos, pessoas jurídicas; 9 - O art. 29.º/5 da CRP - ou o princípio non bis in idem - e a responsabilidade criminal das organizações, dos entes colectivos, das pessoas colectivas; 10 – Conclusões. § Summary: 1 - Summary Judgment of the Constitutional Court No. 212/1995 of 20 April; 2 - The main part of the Constitutional Court Ruling No. 212/1995 of 20 April: cfr. http://www.tribunalconstitucional.pt/tc/acordaos/19950212.html, May 18, 2012; 3 - short annotation; 3.1 - Introduction to synthetic note and its features in this particular case; 4 - The RIAECSP (Status of Anti-Economic Offences and Against Public Health) and the criminal liability of companies and similar persons, provided for in his art. 3; 5 - delinquere Societas non potest ?; 6 - Brief historical traces of societas aphorism delinquere non potest; 7 - Some of the important milestones in recent Portuguese criminal Doctrine about the criminal liability of organizations, public entities, legal persons, legal entities; 8 - art.os 12/2 and 2 of CRP and Criminal Responsibility of loved Collective, legal entities; 9 - Art. 29/5 CRP - or the principle of non bis in idem - and the criminal liability of organizations, collective entities, of legal persons; 10 - Conclusions.

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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.