In the wake of the rapid development of the Internet of Things (IoT) and artificial intelligence (AI) technology, a huge amount of wireless sensing nodes (WSNs) is urgently in demand in all aspects o...
High-performance computing (HPC), according to its name, is traditionally oriented toward performance, especially the execution time and scalability of the computations. However, due to the high cost and environmental issues, energy consumption has alrea
Energy dissipation refers to the process of dissipating excess kinetic energy, typically at the end of a chute, by creating hydraulic jumps or turbulent recirculation to convert flow conditions from supercritical to sub-critical. AI generated definition based on: Hydraulics of Open Channel Flow (Secon...
A stable signal as simple as the rectangular pulse has a Fourier transform that is not integrable, and therefore one cannot use the Fourier inversion theorem for stable signals as it is. However, there is a version of this inversion formula that applies to all finite-energy functions (for ...
Artificial Intelligence, Internet of Things (IoT) & Cloud Computing , Machine Learning, Algorithms, Configurable Architecture & Data Mining; Diagnostics; Fuzzy Systems; Neural Networks Software Engineering; Programming & Integrated Systems; Evolutionary Computing & Digital Twin Signal Processing, light-wave...
As a supplement to large power grids, DC microgrids with new energy access are increasingly widely used. However, with the increasing proportion of new energy in DC microgrids, its output fluctuations directly affect the overall stability of the microgri
The hypothesis of a vector leptoquark field (), transforming asunder the Standard Model (SM) gauge symmetry, with a mass in the TeV range has attracted intense interest in the last few years. At first, this interest arose from a purely phenomenological perspective, when it was realized that ...
Schematic illustrating the current feedback (CFB) on an internal wave (IW)—or any periodic signal having a surface signature in velocity. The yellow arrows represent the current (the current reverses direction during the second half period of the periodic signal). The green arrows represent the...
Predicting transport coefficients, as a main task of the near-equilibrium statistical mechanics, was formally fulfilled in the 1960-1970s, Green-Kubo formula which bridges the states of equilibrium and nonequilibrium. The Green-Kubo formula has played a crucial role in understanding nonequilibrium ...
The optimal scheduling problem of integrated energy system (IES) has the characteristics of high-dimensional nonlinearity. Using the traditional Grey Wolf Optimizer (GWO) to solve the problem, it is easy to fall into a local optimum in the process of opt