The single image super-resolution (SISR) is a computer vision task needed in many real-world applications. There are many methods developed to solve ill-posed SISR problem; however, these methods are based on attention mechanisms that need a large computing processing cost. So, these attention-based models cannot be used in real-world applications that need fast models. Thus, we propose an enhanced convolution mixer (EConvMixer) module to solve this SISR problem by using lower computing convolution layers. The EConvMixer is designed based on utilizing three convolution types, namely the dilated depthwise convolution for increasing the receptive field, the depthwise convolution for mixing spatial locations, and the pointwise convolution for mixing channel locations. Based on using this EConvMixer layer, we build a lightweight extended convolution mixer network (EConvMixN) for SR images …
Low Voltage Ride Through (LVRT) is considered one of the main and serious problems facing the electrical grid. It occurs due to three-phase symmetric faults and asymmetric faults such as a double line to ground fault that applies in this system. This paper applies Static Synchronous Compensators (STATCOM) to improve the LVRT capability and dynamic performance of an electrical grid linked to a Photovoltaic (PV)/Wind hybrid system through grid disturbances. A hybrid power system containing a PV station that produces 1 MW and a wind farm from type Doubly Fed Induction Generator (DFIG) that produces 9 MW is connected to STATCOM with 48 pulses at PCC bus and energized load. It compensates reactive power to improve LVRT that occurred due to fault. The applied STATCOM controller adjusts the voltage of the PCC bus during an occuring fault on the grid by compensating reactive power. STATCOM is controlled by a Proportional–Integral–Derivative (PID) and is compared with STATCOM controlled by Artificial Intelligence Control (AIC)-based on Proportional—Integral Fuzzy Logic Control (PI FLC). The Lightning Attachment Procedure Optimization Algorithm (LAPO) optimization method is used to adjust the parameters of the PI controller to reduce error signals. A simulation model of the suggested hybrid power system has been performed using Matlab/Simulink. The simulation results of STATCOM proved powerful and the effectiveness of STATCOM with PI FLC in reducing voltage dip, compensating active power of wind and PV farm, protecting DC-link voltage of PV and wind from overvoltage and oscillation that happens at three-phase fault and double line to ground fault as compared with PID STATCOM in enhancement LVRT capability, and power quality.
Emerging pollutants, such as antibiotics and antibiotic-resistance genes, are becoming increasingly
important sources of safety and health concerns. Drinking water safety, which is closely related to
human health, should receive more attention than natural water body safety. However, minimal
research has been performed on the efficacy of existing treatment processes in water treatment plants
for the removal of antibiotics and antibiotic resistance genes. To address this research gap, this study
detected and analyzed six main antibiotics and nine antibiotic resistance genes in the treatment
processes of two drinking water plants in Wuhan. Samples were collected over three months and then
detected and analyzed using ultra-high-performance liquid chromatography-tandem mass
spectrometry and fluorescence quantitation. The total concentrations of antibiotics and antibiotic
resistance genes in the influent water of the two water plants were characterized as December > March
> June. The precipitation and filtration processes of the Zou Maling Water Plant and Yu Shidun Water
Plant successfully removed the antibiotics. The ozone-activated carbon process increased the removal
rate of most antibiotics to 100%. However, a large amount of antibiotic resistance gene residues
remained in the effluents of the two water plants. The experiments demonstrated that the existing
ozone-activated carbon processes could not effectively remove antibiotic resistance genes. This study
provides a reference for the optimization of drinking water treatment processes for antibiotics and
antibiotic resistance gene removal.
