A5011532552- Carbon dioxide utilization in catalysis
- CO2 Reduction Techniques and Catalysts
- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Radio Frequency Integrated Circuit Design
- Advanced Battery Technologies Research
- Magnetic Properties and Applications
- Fuel Cells and Related Materials
- Advanced Power Amplifier Design
- RFID technology advancements
- Molecular Junctions and Nanostructures
- Sensorless Control of Electric Motors
- Magnetic Bearings and Levitation Dynamics
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Mechatronics Education and Applications
- Electric Motor Design and Analysis
- Microwave Imaging and Scattering Analysis
- Industrial Automation and Control Systems
Binghamton University
2025
Beihang University
2024
Hefei Institute of Technology Innovation
2024
Purdue University Northwest
2009
In the context of energy shortages and environmental disasters, converting greenhouse gas carbon dioxide into high-value carbon-based provides a practical pathway for achieving sustainable artificial cycle....
This paper presents an neural network based approach to identify in real time faulty components found on industrial brushless exciters. A exciter or ldquorotating rectifierrdquo is a key component of synchronous motor. Improper operation this can prove costly for the motor's owner. method Fourier analysis combined with use networks presented detect some common failures involving three phase rotating rectifier. laboratory setup was constructed create fault condition data sets. These sets were...
Radio frequency power amplifier (PA) is an important part of the transmitter system, which can drive numerous output devices. However, nonlinear characteristics PA will cause serious harmonic interference, leads to electromagnetic interference (EMI) problems. In this article, and memory effect are analyzed. The strong nonlinearity region weak divided according strength nonlinearity. For nonlinearity, encoder–decoder-based (E-D-based) artificial neural network model proposed predict PA. To...
Frequency-modulated continuous-wave (FMCW) millimeter-wave (mmWave) radar systems are increasingly utilized in environmental sensing due to their high range resolution and robust ability severe weather environments. However, mutual interference among significantly degrades the target detection capability. Recent advancements mitigation utilizing deep learning (DL) approaches have demonstrated promising results. DL-based typically computational costs, which makes them unsuitable for real-time...