Gaussian process regression (GPR) is a powerful non-linear technique for Bayesian inference and prediction. One drawback is its O(N) computational complexity for both prediction and hyperparameter estimation for N input points which has led to much work in sparse GPR methods. In case that the covariance function is expressible as a tensor product kernel (TPK) and the inputs form a multidimensio...

We propose a methodological tool for examining the layout and revealing the concealed characteristics of urbanwater supply systems (WSS). For this purpose,we use underground images obtained with ground penetrating radar (GPR) as a method that does not alter the system conditions and environmental characteristics (non-destructive methods). The study focuses on wave amplitude and uses intensive m...

Landmine problem is enormous and worldwide. Impulse ground penetrating radar (ImGPR) is one of the technologies that have been extensively researched as a means of improving landmine detection efficiency. We propose two methods to detect buried landmines. Both methods are based on background subtraction techniques to detect buried plastic landmines. The first method uses adaptive background est...

This paper discusses two technologies that use arrays of antennae to derive precise locations of utility lines and other subsurface features...employed “ahead of the drill” (design phase) to prevent conflict and damage during excavation. While the CART (Computer Assisted Radar Tomography, RT for short) system employs an array of ground-penetrating-radar (GPR) antennae, the AIR (Array of Inducti...

the subsoil and groundwater were suspected to be polluted by leakage from underground tanks around the oil storage facility in Dhanbad, Jharkhand, India. to delineate the seepage zone, integrated geophysical methods comprising Ground Penetrating Radar (GPR) and 2D electrical Resistivity Imaging (eRI) methods were employed over the suspected zone and in the close vicinity. the studies were condu...

An important problem of marble-quarry management is assessing the quality and the homogeneity of quarry blocks before excavation. In this study, we decided to image the limestone, which we studied in a marble quarry, in terms of layer thickness, discontinuities and cavities using the ground-penetrating-radar (GPR) method. The method was successfully applied to detect and map the fractures with ...

Prediction uncertainty has rarely been integrated into traditional soft sensors in industrial processes. In this work, a novel auto-switch probabilistic soft sensor modeling method is proposed for online quality prediction of a whole industrial multi-grade process with several steady-state grades and transitional modes. Several single Gaussian process regression (GPR) models are first construct...

We present a high-order discontinuous Galerkin (DG) method for the time domain Maxwell’s equations in three-dimensional heterogeneous media. New hierarchical orthonormal basis functions on unstructured tetrahedral meshes are used for spatial discretization while Runge-Kutta methods for time discretization. A uniaxial perfectly matched layer (UPML) is employed to terminate the computational doma...

Learning based super-resolution (SR) methods, which predict the high-resolution pixel values but not directly provide an estimation of uncertainty, are typically non-probabilistic and have limited generalization ability. Gaussian processes can provide a framework for deriving regression techniques with explicit uncertainty models, but Gaussian Process Regression (GPR) has a significant drawback...