The Experts below are selected from a list of 30048 Experts worldwide ranked by ideXlab platform
Fauchard Cyrille - One of the best experts on this subject based on the ideXlab platform.
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Fusion of thermal and visible point clouds : Application to the Vaches Noires landslide, Normandy, France
HAL CCSD, 2020Co-Authors: Guilbert Vincent, Antoine Raphaël, Heinkele Christophe, Maquaire Olivier, Costa Stéphane, Gout Christian, Davidson Robert, Sorin, Jean Luc, Beaucamp Bruno, Fauchard CyrilleAbstract:Communication pour le congrès ISPRS du 4 au 10 Juillet 2021In this paper, we present a methodology to fusion 3D visible and thermal infrared (TIR) information on a coastal landslide area located in Normandy, France. A reflex and TIR camera on-board an Unmanned Aerial Vehicle are utilized to generate a 3D visible and a thermal model using Photogrammetry. A Python-written algorithm is then used to associate the thermal scalar on the TIR model to the closest point on the visible point cloud, before applying α-blending to ease the visualization of both data sets. This methodology leads to the generation of an integrated 3D thermo-visible model, allowing the direct analysis of the surface temperatures, visible data and Geometric Configuration of the landslide
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Fusion of thermal and visible point clouds : Application to the Vaches Noires landslide, Normandy, France
'Copernicus GmbH', 2020Co-Authors: Guilbert Vincent, Antoine Raphaël, Heinkele Christophe, Maquaire Olivier, Costa Stéphane, Gout Christian, Davidson Robert, Sorin, Jean Luc, Beaucamp Bruno, Fauchard CyrilleAbstract:Communication pour le congrès ISPRS du 4 au 10 Juillet 2021International audienceIn this paper, we present a methodology to fusion 3D visible and thermal infrared (TIR) information on a coastal landslide area located in Normandy, France. A reflex and TIR camera on-board an Unmanned Aerial Vehicle are utilized to generate a 3D visible and a thermal model using Photogrammetry. A Python-written algorithm is then used to associate the thermal scalar on the TIR model to the closest point on the visible point cloud, before applying α-blending to ease the visualization of both data sets. This methodology leads to the generation of an integrated 3D thermo-visible model, allowing the direct analysis of the surface temperatures, visible data and Geometric Configuration of the landslide
William Finnegan - One of the best experts on this subject based on the ideXlab platform.
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Shape optimisation of floating wave energy converters for a specified wave energy spectrum
Renewable Energy, 2014Co-Authors: Jamie Goggins, William FinneganAbstract:Ocean wave energy is one of the world's most powerful forms of energy and the energy density in ocean waves is the highest among renewable energy sources. Wave energy converters are employed to harness this energy and convert it into usable electrical energy. However, in order to efficiently extract the energy, the wave energy converter must be optimised in the design stage. Therefore, in this paper, a methodology is presented which aims to optimise the structural Geometric Configuration of the device to maximise the average power extraction from its intended deployment site. Furthermore, a case study of the Atlantic marine energy test site, off the west coast of Ireland, is undertaken in order to demonstrate the methodology. Using the average annual wave energy spectrum at this site as the input, the optimum structural Geometric Configuration was established, along with an analysis of the optimum Configuration for different radius devices. In addition, the optimum damping coefficient of the PTO mechanism is determined and the total mean absorbed power for the structure at the site over the entire scatter diagram of data is calculated.
Tapas K Das - One of the best experts on this subject based on the ideXlab platform.
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influence of flow thickness on general relativistic low angular momentum accretion around spinning black holes
arXiv: High Energy Astrophysical Phenomena, 2020Co-Authors: Pratik Tarafdar, Susovan Maity, Tapas K DasAbstract:General relativistic, axisymmetric flow of low angular momentum accretion around a Kerr black hole can have certain Geometric Configuration where the flow is maintained in hydrostatic equilibrium along the vertical direction (direction orthogonal to the equatorial plane of the flow). The flow thickness for such accretion models becomes a function of the local radial distance measured from the black hole horizon. There are three types of functions defined in the literature which resemble the thickness of the flow for such a Configuration. We formulate the equations governing the steady state astrophysical accretion characterized by both the polytropic as well as the isothermal equation of state in classical thermodynamics. We solve the equations within the framework of such Geometric Configuration for three different thickness functions, to obtain the multi-transonic, shocked, stationary integral accretion solutions. Such solutions enable us to study how flow thickness influences the dependence of the properties of post-shock flows on black hole spin angular momentum, i.e., the Kerr parameter. For temperature-preserving standings shocks, we find that the post-shock part of the disc can become luminous and considerable amount of gravitational energy carried by the accreting fluid can get liberated at the shock. We find which kind of thickness function produces the maximum liberated energy, making the disc most luminous.
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acoustic geometry through perturbation of accretion rate ii radial flow in stationary axisymmetric spacetime
arXiv: High Energy Astrophysical Phenomena, 2014Co-Authors: Deepika B Ananda, Sourav Bhattacharya, Tapas K DasAbstract:We introduce a novel perturbation scheme to study the stability properties of the stationary transonic integral solutions for low angular momentum axisymmetric accretion flow in a general stationary axisymmetric space time around non rotating black holes for generalized Geometric Configuration of infalling matter. We discuss the emergence of the relativistic acoustic geometry as a consequence of such stability analysis and establish the fact that the space time structure of such acoustic geometry is independent of the matter geometry as well as the perturbation scheme. The acoustic metric elements obtained by perturbing the velocity potential of the background fluid flow remains the same as of that obtained by perturbing the mass accretion rate.
Dominik Nagel - One of the best experts on this subject based on the ideXlab platform.
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on the smallest singular value of multivariate vandermonde matrices with clustered nodes
Linear Algebra and its Applications, 2020Co-Authors: Stefan Kunis, Dominik NagelAbstract:Abstract We prove lower bounds for the smallest singular value of rectangular, multivariate Vandermonde matrices with nodes on the complex unit circle. The nodes are “off the grid”, groups of nodes cluster, and the studied minimal singular value is bounded below by the product of inverted distances of a node to all other nodes in the specific cluster. By using known and new upper bounds for the smallest singular value, this completely settles the univariate case and pairs of nodes in the multivariate case, both including reasonable sharp constants. For larger clusters, we show that the smallest singular value depends also on the Geometric Configuration within a cluster.
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on the smallest singular value of multivariate vandermonde matrices with clustered nodes
arXiv: Numerical Analysis, 2019Co-Authors: Stefan Kunis, Dominik NagelAbstract:We prove lower bounds for the smallest singular value of rectangular, multivariate Vandermonde matrices with nodes on the complex unit circle. The nodes are ``off the grid'', groups of nodes cluster, and the studied minimal singular value is bounded below by the product of inverted distances of a node to all other nodes in the specific cluster. By providing also upper bounds for the smallest singular value, this completely settles the univariate case and pairs of nodes in the multivariate case, both including reasonable sharp constants. For larger clusters, we show that the smallest singular value depends also on the Geometric Configuration within a cluster.
Guilbert Vincent - One of the best experts on this subject based on the ideXlab platform.
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Fusion of thermal and visible point clouds : Application to the Vaches Noires landslide, Normandy, France
HAL CCSD, 2020Co-Authors: Guilbert Vincent, Antoine Raphaël, Heinkele Christophe, Maquaire Olivier, Costa Stéphane, Gout Christian, Davidson Robert, Sorin, Jean Luc, Beaucamp Bruno, Fauchard CyrilleAbstract:Communication pour le congrès ISPRS du 4 au 10 Juillet 2021In this paper, we present a methodology to fusion 3D visible and thermal infrared (TIR) information on a coastal landslide area located in Normandy, France. A reflex and TIR camera on-board an Unmanned Aerial Vehicle are utilized to generate a 3D visible and a thermal model using Photogrammetry. A Python-written algorithm is then used to associate the thermal scalar on the TIR model to the closest point on the visible point cloud, before applying α-blending to ease the visualization of both data sets. This methodology leads to the generation of an integrated 3D thermo-visible model, allowing the direct analysis of the surface temperatures, visible data and Geometric Configuration of the landslide
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Fusion of thermal and visible point clouds : Application to the Vaches Noires landslide, Normandy, France
'Copernicus GmbH', 2020Co-Authors: Guilbert Vincent, Antoine Raphaël, Heinkele Christophe, Maquaire Olivier, Costa Stéphane, Gout Christian, Davidson Robert, Sorin, Jean Luc, Beaucamp Bruno, Fauchard CyrilleAbstract:Communication pour le congrès ISPRS du 4 au 10 Juillet 2021International audienceIn this paper, we present a methodology to fusion 3D visible and thermal infrared (TIR) information on a coastal landslide area located in Normandy, France. A reflex and TIR camera on-board an Unmanned Aerial Vehicle are utilized to generate a 3D visible and a thermal model using Photogrammetry. A Python-written algorithm is then used to associate the thermal scalar on the TIR model to the closest point on the visible point cloud, before applying α-blending to ease the visualization of both data sets. This methodology leads to the generation of an integrated 3D thermo-visible model, allowing the direct analysis of the surface temperatures, visible data and Geometric Configuration of the landslide
