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Abstract

Education conceives itself as something that cannot end. Pedagogy talks of lifelong learning and teachers would never say that their work is finished just because students graduate. But education must also be planned and must therefore rely on organizations (schools, universities). On this level, education can distinguish between different school levels, between thresholds pupils have to overcome, between before and after, and can name its outcomes (qualifications and titles) – all this depending on the given historical and social context. The contingency of its organizational forms is opposed to the universal necessity of education. The article advances the hypothesis that this contrast is ‘hidden’ by the idea of ‘reform’: the frequency and quantity of organizational changes affecting modern educational institutions has therefore the function of reconciling an endless education with the finiteness of its concrete forms.  相似文献   
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In the field of Cultural Heritage, image analysis represents an indispensable practice for restorers to collect information about the state of preservation of monuments and artifacts and plan restoration interventions. In addition, during the last two decades, the wide spread of remote sensing technologies and the possibility to build 3D reality-based models of artifacts allow the extension of image analysis to 3D environments. In this context, the purpose of this contribution is to show the results of investigations held in order to provide a methodology for the automatic detection of deteriorated areas within architectures and artifacts using colour images as a field of examination. Using both 2D and 3D segmentation approaches, our methodology aims at speeding and efficiently performing the automatic detection of deteriorated zones within Cultural Heritage and therefore segment 3D digital models acquired using different survey technologies. Within our investigations, we selected case studies concerning recurrent deteriorations, such as, for example, detachments, cracks and chromatic alterations; we run them both to manual and to automatic recognition and selection tests, in order to compare the results obtained using these approaches and evaluate the reliability of the automatic one. Results comparison included computational and user time, quantification of the deteriorated area error between manual and automatically detected zones. Additional parameters characterizing the specific type of deteriorations were also computed for each case study. Comparison between the automatic and the manual procedure showed that the automatic detection is faster and reliable in all our selected case studies, with evident improvements in the efficient evaluation of the entity and extension of deteriorated areas on 3D geometry.  相似文献   
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