- Smart Grid Energy Management
- Robotics and Sensor-Based Localization
- Numerical methods in engineering
- Integrated Energy Systems Optimization
- Coastal wetland ecosystem dynamics
- Marine and coastal ecosystems
- Fatigue and fracture mechanics
- Water Quality and Pollution Assessment
- Atmospheric and Environmental Gas Dynamics
- Mechanical Behavior of Composites
- Microgrid Control and Optimization
- Hydraulic and Pneumatic Systems
- Simulation and Modeling Applications
- Structural Health Monitoring Techniques
- Manufacturing Process and Optimization
- Digital Media and Visual Art
- Blind Source Separation Techniques
- Advanced Neural Network Applications
- Smart Grid Security and Resilience
- Electric Power System Optimization
- Power Systems and Technologies
- Disaster Response and Management
- Engineering Diagnostics and Reliability
- Power Systems and Renewable Energy
- Electric Motor Design and Analysis
Yuan Ze University
2024-2025
Fuzhou University
2023-2025
Harbin Institute of Technology
2023-2024
Inner Mongolia Agricultural University
2024
Shanghai University
2022-2024
Northeast Normal University
2022-2023
University of Science and Technology Beijing
2023
Jiangsu Provincial Center for Disease Control and Prevention
2023
Fujian University of Technology
2023
Nanjing Normal University
2022-2023
3D object detection in autonomous driving aims to reason “what” and “where” the objects of interest present a world. Following conventional wisdom previous 2D detection, existing methods often adopt canonical Cartesian coordinate system with perpendicular axis. However, we conjugate that this does not fit nature ego car’s perspective, as each onboard camera perceives world shape wedge intrinsic imaging geometry radical (non perpendicular) Hence, paper advocate exploitation Polar propose new...
Abstract In microgrid (MG) systems, traditional centralised energy trading models can lead to issues such as low efficiency due unstable supply and lack of flexibility. Peer‐to‐peer (P2P) have been widely used their advantages in promoting the sustainable development renewable reducing costs. However, P2P multi‐energy requires mutual agreements between two microgrids (MGs), uncertainties load affects security. To address these issues, this article proposed a distributed robust operation...
To improve the stable operation and promote energy sharing of integrated system (IES), a comprehensive trading strategy considering uncertainty is proposed. Firstly, an IES model incorporating power-to-gas (P2G) carbon capture (CCS) established to reduce emissions. Secondly, this into four-level robust optimization address fluctuation renewable sources in operations. This not only considers probability distribution scenarios its output, but also effectively reduces model’s conservatism by...
To study the corrosion behavior of wrought and cast Mg alloys protected by a micro-arc oxidation layer, neutral salt spray test was used to accelerate samples. The results showed that surface alloy/micro-arc system relatively smooth up 720 h, there no obvious change in alloy. However, products were observed on after 960 h. Corrosion appeared 240 h testing. Electrochemical impedance spectroscopy failure analyses scratched samples indicated early stage corrosion, large number formed substrate...
Vegetation is a sensitive factor in marsh ecosystems, which can provide nesting sites, foraging areas, and hiding places for waterfowl affect their survival environment. The Jilin Momoge National Nature Reserve, consists of large areas marshes, located the semi-arid region northeast China an important stopover site critically endangered species Siberian Crane (Grus leucogeranus). Global climate change, extreme droughts floods, differences evaporation precipitation this cause rapid vegetation...
Post-harvest strawberries are hard to store and can easily rot during cold chain transportation (CCT). This leads considerable economic losses. paper proposes a strawberry quality perception method used in CCT, based on the correlation between environmental parameters parameters. The proposed constructs shelf-life prediction model back propagation (BP) neural network, using four kinds of parameters, including temperature, humidity, oxygen, carbon dioxide, perceive post-harvest strawberries,...
The Xianghai National Nature Reserve of Jilin is located on the East Asian-Australian migration route birds and plays an important role for migratory waterbirds. To explore influence restoration measures waterbird communities in Reserve, we conducted a survey spring autumn during from 2010 to 2020. composition spatial temporal changes were identified reserve diversity analyzed. results showed that (1) number waterbirds increased significantly since 2012. Restoration has clearly promoted...
The wind–sand climate prevalent in the central and western regions of Inner Mongolia results significant damage to wind turbine blade coatings due sand erosion. This not only leads a decline power generation but also poses safety risks. study replicated environment Alashan numerically simulated erosion wear process 1.5 MW horizontal axis under rotational conditions using DPM model. Additionally, tests were conducted on operating rotor tunnel. simulation demonstrate that particle trajectories...
Blockchain technology provides a comprehensive solution to user access and energy trading for distributed Internet. Achieving market-based pricing, increasing the earnings of suppliers, attracting foreign capital facilitating upgrade solar wind are pressing issues. Drawing on practices centralised exchanges blockchain cryptocurrency, author designed Cryptocurrency Energy Trading Platform (CETP), dividing permissioned into (EBP) Exchange (ECE). The frequently used real-time bidding scenario...
3D object detection in autonomous driving aims to reason "what" and "where" the objects of interest present a world. Following conventional wisdom previous 2D detection, existing methods often adopt canonical Cartesian coordinate system with perpendicular axis. However, we conjugate that this does not fit nature ego car's perspective, as each onboard camera perceives world shape wedge intrinsic imaging geometry radical (non-perpendicular) Hence, paper advocate exploitation Polar propose new...
In this paper, we propose a new image-based visual place recognition (VPR) framework by exploiting the structural cues in bird's-eye view (BEV) from single monocular camera. The motivation arises two key observations about VPR: 1) For methods based on both camera and LiDAR sensors, integration of robotic systems has led to increased expenses, while alignment data between different sensors is also major challenge. 2) Other image-/camera-based methods, involving integrating RGB images their...
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