We present a largely improved version of CRASH, a 3-D radiative transfer code that treats the effects of ionizing radiation propagating through a given inhomogeneous H/He cosmological density field, on the physical conditions of the gas. The code, based on a Monte Carlo technique, self-consistently calculates the time evolution of gas temperature and ionization fractions due to an arbitrary num...

Feature detection is a vital step for the image registration process whose target misalignment correction among images to increase convergency level. Deep learning (DL) in remote sensing has become worldwide sensation. Despite its huge potential, DL not reached intended concerning applications of Synthetic Aperture Radar (SAR) images. In this study, we focus on matching SAR using Convolutional ...

Artificial intelligence methods such as fuzzy logic and particle swarm optimization (PSO) have been applied to maximum power point tracking (MPPT) for solar panels. The P-V curve of a panel exhibits multiple peaks under partial shading condition (PSC) when all modules do not receive the same irradiation. Although conventional PSO has shown perform well uniform insolation, it is often unable fin...

In this paper, a new robust extended Kalman filtering algorithm based on singular value decomposition (SVD) of covariance / information matrix is presented with application in the flight state and parameter estimation of aircraft. The presented algorithm not only has a good numerical stability but also can handle correlated measurement noise without any additional transformation. The algorithm ...

The orientation of a space satellite may change due to the actuation of an attached manipulator. Such a motion is subject to the non-integrable and, therefore, nonholonomic constraints induced by the angular momentum conservation. Some of the previous literatures proposed methods to produce a desired change of the satellite orientation by controlling the attached manipulator. These methods trea...

Column generation (CG) models have several advantages over compact formulations, namely, they provide better LP bounds, may eliminate symmetry, and can hide non-linearities in their subproblems. However, users also encounter drawbacks in the form of slow convergency a.k.a. the tailing-off effect and the oscillation of the dual variables. Among different alternatives for stabilizing the CG proce...

Contemporary computer theory is governed by the discretization of continuous problems. Classical Turing machines (TMs) are originally built to solve computation and computability problems, which main feature is discreteness. However, even some simple numerical calculations problems, e.g., iterations in Rn, generate difficulties to be described or solved by constructing a TM. This paper explores...

In many computer vision and machine learning applications, the data sets distribute on certain low-dimensional subspaces. Subspace clustering is a powerful technology to find the underlying subspaces and cluster data points correctly. However, traditional subspace clustering methods can only be applied on data from one source, and how to extend these methods and enable the extensions to combine...

In this paper, we consider interactions of Internet Service Providers (ISPs) and how these interactions can affect the overall traffic and resource allocation between ISPs. In particular, we consider a simplified two-level hierarchical model wherein there are a single tier-1 ISP and tier-2 ISPs. Each tier-2 ISP needs to pay the tier-1 ISP for the connectivity service. At the same time, a tier-2...

Acoustic rays are modified while propagating through oceanic eddies. However, due to the lack of field synchronous observation, impact mesoscale eddy on acoustic propagation is less clarified. To address issue, an eddy-acoustic observation (EASO) experiment for a warm was carried out in slope South China Sea (SCS) October, 2021. During experiment, total 105 conductivity-temperature-depth (CTD) ...