A5072346490- Satellite Communication Systems
- Optimization and Search Problems
- Solid State Laser Technologies
- Metaheuristic Optimization Algorithms Research
- Mobile Agent-Based Network Management
- Vehicle Routing Optimization Methods
- Hydrocarbon exploration and reservoir analysis
- Scheduling and Optimization Algorithms
- Advanced Fiber Laser Technologies
- Spacecraft Design and Technology
- Optical properties and cooling technologies in crystalline materials
- Advanced Manufacturing and Logistics Optimization
- Luminescence Properties of Advanced Materials
- Robotic Path Planning Algorithms
- Hydraulic Fracturing and Reservoir Analysis
- Chaos-based Image/Signal Encryption
- Concrete Properties and Behavior
- Geochemistry and Geologic Mapping
- Distributed and Parallel Computing Systems
- NMR spectroscopy and applications
- Geoscience and Mining Technology
- Evolutionary Algorithms and Applications
- Industrial Technology and Control Systems
- Photorefractive and Nonlinear Optics
- Wireless Communication Networks Research
Dalian Maritime University
2025
National University of Defense Technology
2018-2024
Beihang University
2024
Technical Institute of Physics and Chemistry
2019-2024
Chinese Academy of Sciences
2019-2024
Northeastern University
2014-2024
Northeast Petroleum University
2005-2024
ShanghaiTech University
2020-2024
Shanghai Industrial Technology Institute
2024
Xidian University
2023-2024
Multitype satellite observation, including optical observation satellites, synthetic aperture radar (SAR) and electromagnetic has become an important direction in integrated applications due to its ability cope with various complex situations. In the multitype scheduling problem (MTSOSP), constraints involved different types of satellites make challenging. This article proposes a mixed-integer programming model generalized profit representation method effectively situation multiple...
A CdS@SnS 2 core/shell heterostructure is constructed by in situ growth of SnS nanosheets on CdS nanorods for boosting piezocatalytic activity H production and dye degradation.
Amine-functionalized graphene oxide nanosheets were prepared by linear poly(oxyalkylene)amines with two different molecular weights, 400 and 2000 (D400 D2000), attached onto the surface of oxides.
Hierarchically ordered mesoporous carbon/graphene (OMC/G) composites have been fabricated by means of a solvent-evaporation-induced self-assembly (EISA) method. The structures these are characterized X-ray diffraction, transmission electron microscopy, Raman spectroscopy and nitrogen adsorption–desorption at 77 K. These results indicate that OMC/G possess the hierarchically hexagonal p6mm mesostructure with lattice unit parameter pore diameter close to 10 nm 3 nm, respectively. specific...
Solar-driven interfacial photothermal evaporation has been recognized as a green, economical, and efficient water purification technique in recent years, it is one of the most promising methods to realize supply high-quality freshwater resources. The key challenge achieving superior rate explore novel stable materials with high light absorption conversion efficiency. In present work, CoCr2O4 nanocrystals containing large number oxygen vacancies have successfully prepared. Due their...
The rapid expansion of the satellite industry has presented numerous opportunities across various sectors and significantly transformed people's daily lives. However, high energy consumption resulting from frequent task execution poses challenges for management. Energy become an important factor to be considered in design future management systems. energy-efficient range scheduling problem (EESRSP) aims optimize sequencing profits within system while simultaneously conserving energy. To...
Due to the increasing demand for remote sensing imaging products, agile earth observation satellite scheduling problem (AEOSSP) has garnered significant attention. In response, this paper proposes a reinforcement learning-based dung beetle optimization (RLDBO) algorithm address AEOSSP. The proposed method dynamically adjusts proportions of four types beetles (ball-rolling beetle, brood ball small and thief beetle), enabling adaptive scheme better handle complexities uncertainties search...
With the rise of low-cost launches, miniaturized space technology, and commercialization, cost missions has dropped, leading to a surge in flexible Earth observation satellites. This increased demand for complex diverse imaging products requires addressing multi-objective optimization practice. To this end, we propose agile satellite scheduling problem (MOAEOSSP) model introduce reinforcement learning-based grey wolf (RLMOGWO) algorithm. It aims maximize efficiency while minimizing energy...