Shear-wave velocity ( ) is an important parameter used for site characterization in geotechnical engineering. However, dispersion curve inversion is challenging for most inversion methods due to its high non-linearity and mix-determined trait. In order to overcome these problems, in this study, a joint inversion strategy is proposed based on the particle swarm optimization (PSO) algorithm. The ...

This work characterizes the range of single-quadrant approximate discrete Radon transform (ADRT) square images. The characterization follows from a set linear constraints on codomain. We show that for data satisfying these constraints, exact and fast inversion formula by Rim [Appl. Math. Lett. 102 (2020), 106159] yields image in stable manner. is obtained first showing ADRT bijection between im...

Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. This method integrates information from different data sources with different scales, as prior informat...

in this paper, we studied effect of different parameters including density, viscosity, interfacial tension and solute transfer concentration on phase inversion hold-up. the results showed that change in phase density ratio had no effect on phase inversion hold-up. it also disclosed that the phase viscosity ratio was the most effective parameter affecting phase inversion hold-up and each phase h...

We study 1D discrete Schrödinger operators H with integer-valued potential and show that, (i), invertibility (in fact, even just Fredholmness) of always implies its half-line compression H+ (zero Dirichlet boundary condition, i.e. matrix truncation). In particular, the eigenvalues avoid zero – all other integers. use this result to conclude (ii), finite section method (approximate inversion via...

This work proposes a novel precision motion control framework of robotized industrial hydraulic excavators via data-driven model inversion. Rather than employing single neural network to approximate the whole excavator dynamics, including input delays and dead-zones, we construct physics-inspired with modular structure. The is then inverted in fashion which benefits training speed. its inversio...

Physically-based radiative transfer models (RTMs) help in understanding the processes occurring on the Earth’s surface and their interactions with vegetation and atmosphere. When it comes to studying vegetation properties, RTMs allows us to study light interception by plant canopies and are used in the retrieval of biophysical variables through model inversion. However, advanced RTMs can take a...

we de ne approximate xed point in fuzzy norm spaces and prove the existence theorems, we also consider approximate pair constructive map- ping and show its relation with approximate fuzzy xed point.

One of the most remarkable basis of the gravity data inversion is the recognition of sharp boundaries between an ore body and its host rocks during the interpretation step. Therefore, in this work, it is attempted to develop an inversion approach to determine a 3D density distribution that produces a given gravity anomaly. The subsurface model consists of a 3D rectangular prisms of known sizes ...