890 resultados para Cave house


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Recently, increasing numbers of new German firms have begun to break from tradition and refuse to join employers' associations. Simultaneously, an unprecedented portion of affiliates have begun to reconsider employers' association membership. The spectre of declining membership in German employers' associations-century-old pillars of organized capitalism-is particularly noteworthy because of the importance of these institutions to the German economy as a whole. Some observers have attributed this trend to the impact of German unification, yet a careful analysis reveals that its principal causes arose in the decade preceding it. The economic strain of unification, however, has accelerated "association flight'' and has provided dissidents with an unprecedented opportunity to challenge the hegemony of employers' associations over the regulation of wages and working conditions in the Federal Republic.

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Press release discussing official statement from the House Republican Committee on Western Alliances recommending reforms for NATO. Includes text of original statement from the Republican Committee on Western Alliances.

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Modeling natural phenomena from 3D information enhances our understanding of the environment. Dense 3D point clouds are increasingly used as highly detailed input datasets. In addition to the capturing techniques of point clouds with LiDAR, low-cost sensors have been released in the last few years providing access to new research fields and facilitating 3D data acquisition for a broader range of applications. This letter presents an analysis of different speleothem features using 3D point clouds acquired with the gaming device Microsoft® Kinect. We compare the Kinect sensor with terrestrial LiDAR reference measurements using the KinFu pipeline for capturing complete 3D objects (< 4m**3). The results demonstrate the suitability of the Kinect to capture flowstone walls and to derive morphometric parameters of cave features. Although the chosen capturing strategy (KinFu) reveals a high correlation (R2=0.92) of stalagmite morphometry along the vertical object axis, a systematic overestimation (22% for radii and 44% for volume) is found. The comparison of flowstone wall datasets predominantly shows low differences (mean of 1 mm with 7 mm standard deviation) of the order of the Kinect depth precision. For both objects the major differences occur at strongly varying and curved surface structures (e.g. with fine concave parts).