A5101908280- Advanced DC-DC Converters
- X-ray Diffraction in Crystallography
- Multilevel Inverters and Converters
- Crystallization and Solubility Studies
- Microgrid Control and Optimization
- NMR spectroscopy and applications
- Hydrocarbon exploration and reservoir analysis
- Bauxite Residue and Utilization
- HVDC Systems and Fault Protection
- Hydraulic Fracturing and Reservoir Analysis
- Recycling and utilization of industrial and municipal waste in materials production
- Advanced Battery Technologies Research
- Extraction and Separation Processes
- Sensorless Control of Electric Motors
- Phosphorus and nutrient management
- Electric Vehicles and Infrastructure
- Advanced ceramic materials synthesis
- Islanding Detection in Power Systems
- Seismic Imaging and Inversion Techniques
- Mine drainage and remediation techniques
- Electric Motor Design and Analysis
- Infrastructure Resilience and Vulnerability Analysis
- Underwater Vehicles and Communication Systems
- Silicon Carbide Semiconductor Technologies
- Railway Systems and Energy Efficiency
Northeastern University
2020-2024
Naval University of Engineering
2013-2024
Shandong University of Science and Technology
2024
China University of Petroleum, Beijing
2021-2023
Qingdao University of Technology
2023
Universidad del Noreste
2023
Qingdao University of Science and Technology
2023
Huazhong University of Science and Technology
2023
Xi'an Institute of Optics and Precision Mechanics
2022
Northeast Agricultural University
2022
Infrared (IR) small target detection under low signal-to-clutter ratio (SCR) is a fundamental and important problem in some critical missions like IR search tracking (IRST). Though there exist lot of works using local contrast measure (LCM) to detect the target, their performance are still unsatisfying due imperfect knowledge structure. In this letter, novel method utilizing halo structure prior (HSP)-based LCM (HSPLCM) proposed, which adequately considers characteristic target....
With the rapid development of electrical equipment and electronic devices, polymer-based dielectric nanocomposites with high-energy density low loss for capacitive energy storage are in great demands. However, traditional approaches to improve constant polymer by incorporating high loading inorganic nanofillers always at expense breakdown strength (Eb), resulting limited improvement dielectrics. Here, ultralow loadings (≤1 vol. %) barium titanate (BaTiO3, BT) nanoparticles were incorporated...
High voltage and wide input range auxiliary power supply (APS) is widely used in high electronics devices. Due to a of voltage, low significant parasitic effects, converter systems are more challenging design. This paper proposes solution the design APS which based on flyback topology with specially designed transformer. Because transformer challenge. On one hand, proper ratio decrease requirement MOSFET. other as consideration creepage effect windings transformer, method winding small...
Irreducible water saturation, affecting the productivity of a reservoir, is one key parameters for tight sandstone reservoir. Nuclear magnetic resonance (NMR) logging, detecting relaxation information on pore fluid with hydrogen nuclei in formation, can be used to distinguish irreducible and movable fluids as result their different information. The saturation determined by T2 cutoff method conventional However, reservoir possesses complex structure, signals may overlap distribution....
The classification of tight sandstone reservoirs is significance for hydrocarbon exploration and production. Different from conventional reservoirs, are characterized by a complex pore structure strong heterogeneity. Tight reservoir may not be reliable with methods. In this paper, method was proposed on the basis nuclear magnetic resonance (NMR) transverse relaxation (T2) distribution, it employed Shaximiao Formation in central Sichuan, China. As result reservoir, NMR T2 distribution...
Interleaved DC–DC converters have significant advantages in improving the capability of power converters, and coupling filtering inductor converter could further increase density. However, existing modeling controller designs are complex require multiple sensors to be involved control, which is not conducive engineering implementation reducing production costs. In view this problem, taking a two-phase interleaved boost with coupled as an example, small-signal models derived for resistive...
Multiple underwater mobile chargers (UMCs) charging the sensor nodes (SNs) in rechargeable network (URSN) is very challenging due to unique environment, UMC moving characteristics and cooperation among multiple UMCs. The existing studies have no address on multi-UMC global balance of URSN efficiency. This letter proposes a multi-agent reinforcement learning scheme for SNs (MARLCS). URSNs effect indicators are designed, reward model aims maximize survival rate energy efficiency, which NP-hard...
At present, the research on charging/discharging of electric vehicles (EVs) lacks consideration user experience, particularly with aspects user's convenience and profitability. Therefore, this paper analyses travelling characteristics demand EV users in a residential area establishes comprehensive satisfaction model considering travel economy. Based model, genetic algorithm is used to optimize strategy EVs aim maximizing satisfaction, validity proposed optimization verified by results...
A novel control scheme called symmetrical chop plus phase-shift (SCPS) control, allowing six switches of the three-level full-bridge converter to achieve zero voltage switching (ZVS) and reducing total harmonic distortion (THD) transformer primary side is proposed in this paper. The traditional schemes for ZVS ignored impact high THD voltage. will cause large power loss not conducive delivery energy transformer. In SCPS output full bridge half period reduced. At same time, two have achieved...
In this research, mercury injection capillary pressure (MICP) experiments and nuclear magnetic resonance (NMR) were carried out on 19 reservoir core samples. Based the experimental results, relationships between (Pc) NMR transverse relaxation time (T2) established. A novel classified piecewise multi-parameter power function transformation (CPMPFT) method is proposed to predict MICP curves using T2 distributions described as follows. First, model established, after which appropriate pore...