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Protostellar Cores Formation in the Collision of Spherical and Oblate Clouds
AbstractThe formation of new star systems most often occurs in molecular clouds, dense filamentary structures, and Bok globules. The increase in...
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Monte Carlo Method for Numerical Simulation of Solar Energy Radiation Transfer in Crystal Clouds
AbstractThe paper deals with numerical simulations related to radiation transfer in ice clouds. A mathematical model of crystal particles of...
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Multichannel segmentation of planar point clouds using evolving curves
The paper deals with the multichannel curve segmentation of planar point clouds, scanned by a terrestrial laser scanner (TLS), which usually...
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Asymptotic Behavior of the Dirichlet Energy on Poisson Point Clouds
We prove that quadratic pair interactions for functions defined on planar Poisson clouds and taking into account pairs of sites of distance up to a...
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A Meshfree Collocation Scheme for Surface Differential Operators on Point Clouds
We present a meshfree collocation scheme to discretize intrinsic surface differential operators over scalar fields on smooth curved surfaces with...
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Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications
We investigate identifying the boundary of a domain from sample points in the domain. We introduce new estimators for the normal vector to the...
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Free-Boundary Conformal Parameterization of Point Clouds
With the advancement in 3D scanning technology, there has been a surge of interest in the use of point clouds in science and engineering. To...
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A Generalization and Applications to Point Clouds
In this chapter we prove a Γ-convergence result for functionals defined on point clouds. To this end, we first generalize the homogenization theorem... -
Virial clouds and rotational asymmetry in galactic haloes
In 1995, it was suggested that some of the baryonic dark matter in galaxies may be in the form of molecular hydrogen clouds, and a mechanism for...
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Monte Carlo Simulation of Ring-Shaped Structures of Laser Pulse Radiation Scattered in Atmospheric Clouds and Water Media
AbstractThis paper deals with Monte Carlo simulation of optical phenomena which appear in lidar sensing of atmospheric clouds and water media. By...
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Direct Flow Simulation of Objects Represented by Point Clouds
In this chapter, we present a recently proposed approach for performing multiphysics analysis using immersogeometric analysis (IMGA) on complex... -
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Networks on Point Clouds
Convolution plays a crucial role in various applications in signal and image processing, analysis, and recognition. It is also the main building...
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An Efficient Iterative Method for Reconstructing Surface from Point Clouds
Surface reconstruction from point clouds is a fundamental step in many applications in computer vision. In this paper, we develop an efficient...
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Numerical Modeling of Thermodynamical and Microstructural Parameters of Convective Clouds in the Process of Their Evolution
In this paper, a three-dimensional, nonstationary numerical model of convective clouds is presented. Hydrothermodynamical, microphysical, and...
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Interaction of an acceleration wave with a characteristic shock in Interstellar gas clouds
In this paper, we have considered the van der Waals equation of state to study the one-dimensional spherically symmetric self-gravitating...
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Register of Dry Stone Domes. Simplified Method for Point Clouds
Dry-stone elements represent an important aspect of rural identity, and by nature, their constructive and volumetric elements have been eclipsed by...
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Application of the A. N. Tikhonov Regularization to Restoring Microstructural Characteristics of Hail Clouds
This paper is devoted to solving the inverse problem of restoring the hydrometeor distribution function from radar measurements. We use the Tikhonov...
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Heuristics for optimizing 3D map** missions over swarm-powered ad-hoc clouds
Drones have been getting more and more popular in many economy sectors. Both scientific and industrial communities aim at making the impact of drones...
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Machine Learning in LiDAR 3D Point Clouds
LiDAR point clouds contain measurements of complicated natural scenes and can be used to update digital elevation models, glacial monitoring,... -
A stochastic closure for two-moment bulk microphysics of warm clouds: part II, parameter constraint and validation
The representation of clouds and associated processes of rain and snow formation remain one of the major uncertainties in climate and weather...