637 research outputs found

    A literature review of mammalian research respective to the Akagera ecosystem in Rwanda

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    The Akagera NP (and the Mutara GR) in north-eastern Rwanda are considered part of the most complex and biodiversity rich savannah ecosystem in eastern Africa. Following the violent past of Rwanda, the park has recovered from civil war, poaching and overgrazing, counting today more than 12,000 large mammals. Since proclamation in 1934, a wealth of ecological research was carried in these protected areas. This literature review summarizes the available literature and puts it into a historical context, compiling more than 90 books, book chapters, and journal articles but also unpublished theses and reports respective to the ecology and conservation of mammals

    The 'Fast' and 'Slow' Light Induced Defects in Diluted and Undiluted Hydrogenated Amorphous Silicon Solar Cells and Materials

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    International audienceStudies have been carried out on a-Si:H p-in solar cells and corresponding i-layer films fabricated with and without hydrogen dilution for kinetics with high intensity and 1 sun illuminations. The results show a striking similarity between the kinetics in the fill factors (FF) of the p-in solar cells and the mobility lifetime (µτ) products of the corresponding i layer films. New results are presented on thermal annealing after 10 sun degradation which further substantiate the presence of fast and slow defects in the light induced changes of a-Si:H materials, as do the degradation kinetics of both cells and films under 1 sun illumination to their degraded steady states (DSS). Initial (fast) and subsequent (slow) regimes approaching DSS are present at temperatures between 25°C and 100°C, with the two regimes having distinctly different dependences on temperature. The DSS in the films and cells improve monotonically with temperature whereas the initial regimes show a clear reversal in their temperature dependence between 40°C and 50°C. The inability to express these results of 1 sun kinetics with rate equations containing only single time constants for creation and annealing provides further evidence that more than one defect is responsible for light induced degradation in a-Si:H materials and solar cells

    Stress evolution in plastically deformed austenitic and ferritic steels determined using angle- and energy-dispersive diffraction

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    In the presented research, the intergranular elastic interaction and the second-order plastic incompatibility stress in textured ferritic and austenitic steels were investigated by means of diffraction. The lattice strains were measured inside the samples by the multiple reflection method using high energy X-rays diffraction during uniaxial in situ tensile tests. Comparing experiment with various models of intergranular interaction, it was found that the Eshelby-Kr\"oner model correctly approximates the X-ray stress factors (XSFs) for different reflections hkl and scattering vector orientations. The verified XSFs were used to investigate the evolution of the first and second-order stresses in both austenitic and ferritic steels. It was shown that considering only the elastic anisotropy, the non-linearity of sin2ψ\sin^2{\psi} plots cannot be explained by crystallographic texture. Therefore, a more advanced method based on elastic-plastic self-consistent modeling (EPSC) is required for the analysis. Using such methodology the non-linearities of cos2ϕ\cos^2{\phi} plots were explained, and the evolutions of the first and second-order stresses were determined. It was found that plastic deformation of about 1- 2% can completely exchange the state of second-order plastic incompatibility stresses

    Hole Drift-Mobility Measurements in Contemporary Amorphous Silicon

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    We present hole drift-mobility measurements on hydrogenated amorphous silicon from several laboratories. These temperature-dependent measurements show significant variations of the hole mobility for the differing samples. Under standard conditions (displacement/field ratio of 2×10-9 cm2/V), hole mobilities reach values as large as 0.01 cm2/Vs at room-temperature; these values are improved about tenfold over drift-mobilities of materials made a decade or so ago. The improvement is due partly to narrowing of the exponential bandtail of the valence band, but there is presently little other insight into how deposition procedures affect the hole drift-mobility

    Content-Aware Unsupervised Deep Homography Estimation

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    Homography estimation is a basic image alignment method in many applications. It is usually conducted by extracting and matching sparse feature points, which are error-prone in low-light and low-texture images. On the other hand, previous deep homography approaches use either synthetic images for supervised learning or aerial images for unsupervised learning, both ignoring the importance of handling depth disparities and moving objects in real world applications. To overcome these problems, in this work we propose an unsupervised deep homography method with a new architecture design. In the spirit of the RANSAC procedure in traditional methods, we specifically learn an outlier mask to only select reliable regions for homography estimation. We calculate loss with respect to our learned deep features instead of directly comparing image content as did previously. To achieve the unsupervised training, we also formulate a novel triplet loss customized for our network. We verify our method by conducting comprehensive comparisons on a new dataset that covers a wide range of scenes with varying degrees of difficulties for the task. Experimental results reveal that our method outperforms the state-of-the-art including deep solutions and feature-based solutions.Comment: Accepted by ECCV 2020 (Oral, Top 2%, 3 over 3 Strong Accepts). Jirong Zhang and Chuan Wang are joint first authors, and Shuaicheng Liu is the corresponding autho
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