4 resultados para Time Based Management (TBM)

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


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La presente comunicación tiene como objetivo analizar la complementariedad y la posibilidad de integración entre las herramientas de gestión Cuadro de Mando Integral (CMI), Activity Based Costing (ABC) y Activity Based management (ABM). Para la realización del estudio empírico hemos recurrido a los datos obtenidos mediante la aplicación de un cuestionario postal a 591 organizaciones públicas (ayuntamientos, hospitales, empresas municipales y empresas intermunicipales) y 549 organizaciones privadas (grandes empresas y pequeñas y medianas empresas) portuguesas, con una tasa de respuesta total del 31,3%. Los resultados obtenidos indican que, contrariamente al registrado en las organizaciones públicas, observamos que un número significativo de organizaciones privadas ya utilizaba los sistemas ABC/ABM antes del CMI y que los han integrado (total o parcialmente) o esperan integrar en el CMI.

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Este artículo tiene como objetivo analizar la complementariedad y la posibilidad de integración entre las herramientas de gestión Cuadro de Mando Integral (CMI), Activity Based Costing (ABC) y Activity Based management (ABM). Para la realización del estudio empírico hemos recurrido a los datos obtenidos mediante la aplicación de un cuestionario postal a 591 organizaciones públicas (ayuntamientos, hospitales, empresas municipales y empresas intermunicipales) y 549 organizaciones privadas (grandes empresas y pequeñas y medianas empresas) portuguesas, con una tasa de respuesta total del 31,3%. Los resultados obtenidos indican que, contrariamente al registrado en las organizaciones públicas, observamos que un número significativo de organizaciones privadas ya utilizaba los sistemas ABC/ABM antes del CMI y que los han integrado (total o parcialmente) o esperan integrar en el CMI.

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In 2012, Guimarães hosted the European Capital of Culture (ECOC). An evaluation of this event was needed because public, private, and community funds were involved. This analysis considers tourists as external and independent stakeholders who assessed the cultural activities developed during the event as well as the attributes of the city. The main objectives of the research conducted were to assess the visitors` motivations during the hosting of the Guimarães ECOC 2012, their perceptions towards the city and if national and international visitors kept different perceptions of it. For two months, in the summer of 2012, a survey was applied to 390 visitors. The results revealed that hosting the 2012 ECOC was a major contribution towards attracting new visitors to the city (though many of the visitors stayed only for a short period of time). Based on tourists’ perceptions, the tangible heritage was clearly detached from the set of attributes associated to Guimarães, whereas the intangible heritage was less noted. The Portuguese tourists seem to be more prone to value the tangible heritage than the foreign tourists. Overall, Guimarães received a very positive evaluation relating to the city’s image and, as stated by tourists, visiting it was declared to be highly recommended. Following the obtained empirical results, the need for changing the city’s promoted image emerges, which has been too centered on its tangible heritage. In doing so, it is believed that there will be longer overnight stays by visitors.

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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.