We present a non-traditional approach for ight simulationand training, mission planning and rehearsal. It involves photo-realistic volume-based modeling and rendering of real world terrains from a single elevation map and a satellite or aerial photograph of the terrain. This has been achieved using voxelization, 3D texture splatting and ray-casting. We demonstrate the ability of our approach to...

As was suggested twenty years ago, double-vortex condensation can drive a superconductor into fractionalized insulator with \ensuremath{\mathbb{Z}}${}_{2}$ topological order. With the advent of symmetry-protected phases, authors explore here effect strong correlation in weak superconductor, showing that gives rise to translation symmetry-enriched This $t\phantom{\rule{0}{0ex}}o\phantom{\rule{0}...

A simple method of simulating possible coded aperture phase contrast X-ray imaging apparatus is presented. The method is based on ray tracing, with the rays treated ballistically within a voxelized sample and with the phase-shift-induced angular deviations and absorptions applied at a plane in the middle of the sample. For the particular case of a coded aperture phase contrast configuration sui...

The content-based retrieval systems for 3D models on the Web become necessary since digital databases of 3D objects are growing. In this paper, we propose a new method to describe 3D models. This method is based on 3D discrete cosine transform which is applied for the voxelized 3D model. The discrete cosine transform is widely used for 2D image compression and it shows its performance for the J...

We propose the Variational Shape Learner (VSL), a hierarchical latent-variable model for 3D shape learning. VSL employs an unsupervised approach to learning and inferring the underlying structure of voxelized 3D shapes. Through the use of skip-connections, our model can successfully learn a latent, hierarchical representation of objects. Furthermore, realistic 3D objects can be easily generated...

Voxelization is used in a number of applications, mainly in the field of volume graphics. We require it for a non-graphical application, the dynamic generation of animations for automatic presentation of models or scenes according to a user specified interest [1]. In this sketch we present the utilization of hardware accelerated voxelization to generate voxelized object data keeping a reference...

A data-driven wall model for turbulent flows over periodic hills is developed using a feedforward neural network and wall-resolved large-eddy simulation data. The employs wall-normal distance, near-wall velocities, pressure gradients as input features, the shear stresses output labels, respectively. In $a$ $p\phantom{\rule{0}{0ex}}r\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}o\phantom{\rule{...