Geophysical techniques applied to soils and machine learning algorithms have been used to understand the dynamics of the pedosphere and model soil attributes, but studies exploring the spatial prediction of geophysical data are still scarce. In this research, we aimed to model and map...

With the rapid development of the economy, urban pollution has become a hot issue of human concern, and people are put forward higher requirements for the accuracy of pollutant concentration simulations. Based on the the WRF-Chem model simulation results and Beijing environmental monitoring...

Transient overvoltage caused by energization may damage the insulation in a power cable transmission system. Therefore, overvoltage along the cable should be calculated and evaluated carefully. Calculation based on traditional commercial software is time-consuming, therefore, there is a need to...

Sub-synchronous oscillations (SSOs) are one of the biggest threats to the reliability and resiliency of modern power grids. This work proposes an Empirical Wavelet Transform (EWT) based technique for identifying and analyzing sub-synchronous oscillating modes in the power system using phasor...

Household energy management has become critically important due to the continuous inefficient use of power in residential sector. Nearly 70% of electrical energy consumed by households is accounted for air conditioning, water heaters and lighting systems. This huge energy consumption...

Recently, we proposed a sampling algorithm for diffusion networks that locally adapts the number of nodes sampled according to the estimation error. Thus, it reduces the computational cost associated with the learning task when the error is low in magnitude, e.g., during steady state, and...

This paper proposes a color picture encryption algorithm with pixel restructuring and quick diffusion to coexist the security and operational efficiency of the image encryption system. The algorithm employs a four-dimensional hyperchaotic system to decompose the pixels of a color image's three...

In view of the fact that many watermarking algorithms used for copyright protection have ignored the correlation and synchronization between the color channels, a new quaternion Schur (QSchur) decomposition algorithm is presented in this paper. Firstly, the watermark image is encrypted by the...

Weight sharing has been the key feature of convolutional neural networks. The success of weight sharing in addressing machine learning problems lies in its ability to force the neural network to detect common `local' features across an image by applying the same weights across all input samples...

Synthetic aperture radar (SAR) tomography (TomoSAR) is an appealing tool for the extraction of height information of urban infrastructures. Due to the widespread applications of the MUSIC algorithm in source localization, it is a suitable solution in TomoSAR when multiple snapshots (looks) are...