This book describes how policy workers and administrators of local councils and non-profit organisations can contribute to a social domain in which the people’s strengths are better utilized within the framework of the Social Support Act (Wmo). The book is built up around the three assignments a government sees itself faced with: - The transformation from less of a system world to more of a lifeworld. - The transformation from ‘steering’ in a less top-down to a more bottom-up way. - The transformation from less deductive to more inductive learning and development. In this book they describe how representatives of steering force can contribute to this transformation. In their conclusion, the authors state these representatives cannot ultimately fulfill the role of director in the transformation of the social domain geared to the strengths in the lifeworld. They can help to make the transformation less dependent on ‘higher powers’. The authors end their book with recommendations and suggestions for further research on the topic of WMO. This book is a translated version of “Outreachend besturen in tijden van transitie”, published by Movisie.
This article deals with automatic object recognition. The goal is that in a certain grey-level image, possibly containing many objects, a certain object can be recognized and localized, based upon its shape. The assumption is that this shape has no special characteristics on which a dedicated recognition algorithm can be based (e.g. if we know that the object is circular, we could use a Hough transform or if we know that it is the only object with grey level 90, we can simply use thresholding). Our starting point is an object with a random shape. The image in which the object is searched is called the Search Image. A well known technique for this is Template Matching, which is described first.
While tourism and air transport are recovering from the impacts of the Covid pandemic, it seems timely to draw a synthetic view of future stakes combining the following topics: the greenhouse gas emissions scenarios for tourism, regarding which recent work has improved their understanding; the climatic impact of aviation, almost 60% of which is due to non-CO 2 emissions; alternative fuels (biofuels, E-fuels, hydrogen) and engine designs (fuel cells...) which are complex and controversial issues, and whose potentials should be assessed regarding their timing, environmental impacts, and their ability to meet long distance travel requirements. This paper analyses the extent to which the new options regarding fuels and engines can help decarbonize tourism and air transport. The answer is that they can partly contribute but do not render obsolete previous work on substitutions between types of tourism (short versus long distance...), between transport modes (ground transport versus air), length of stay, etc. Following this step, the paper deals with the position of aviation players and the type of arguments they use. We conclude on the necessity to make strategic choices among the options to avoid wasting investments.
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