4 resultados para Final user
em CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal
Resumo:
GUIsurfer: A Reverse Engineering Framework for User Interface Software
Resumo:
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.
Resumo:
In the context of an e ort to develop methodologies to support the evaluation of interactive system, this paper investigates an approach to detect graphical user interface bad smells. Our approach consists in detecting user interface bad smells through model-based reverse engineering from source code. Models are used to de ne which widgets are present in the interface, when can particular graphical user interface (GUI) events occur, under which conditions, which system actions are executed, and which GUI state is generated next.
Resumo:
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.