A5040004789- Electrocatalysts for Energy Conversion
- Video Surveillance and Tracking Methods
- Fuel Cells and Related Materials
- Advanced Photocatalysis Techniques
- Combustion and Detonation Processes
- Neural Networks and Reservoir Computing
- Infrared Target Detection Methodologies
- Evaluation Methods in Various Fields
- Fire dynamics and safety research
- Risk and Safety Analysis
- Occupational Health and Safety Research
- Advanced Computing and Algorithms
- Industrial Vision Systems and Defect Detection
- Remote Sensing and LiDAR Applications
- Spacecraft and Cryogenic Technologies
- Optical measurement and interference techniques
- Robotics and Sensor-Based Localization
- Advanced Neural Network Applications
- Augmented Reality Applications
- Soft Robotics and Applications
- 3D Surveying and Cultural Heritage
- Non-Destructive Testing Techniques
- GNSS positioning and interference
- Fault Detection and Control Systems
- Visual Attention and Saliency Detection
City University of Hong Kong
2024
Guangdong University of Petrochemical Technology
2023
Henan University
2023
University of Macau
2018-2021
Collaborative Innovation Center of Chemistry for Energy Materials
2020
University of Science and Technology of China
2020
Exploring the impact of active site density on catalytic reactions is crucial for reaching a more comprehensive understanding how single-atom catalysts work. Utilizing functional theory calculations, we have systematically investigated neighboring effects between two adjacent Fe-N-C sites monodispersed oxygen reduction reaction (ORR). While thermodynamic limiting potential (UL) strongly dependent intersite distance and nature in FeN3, it almost invariable FeN4 until are ∼4 Å apart. Further,...
Graphene has been widely studied as an electrocatalyst for hydrogen evolution reaction (HER). However, pure flat graphene is catalytically inert in HER. In this work, we investigate the effect of curvature on improvement catalytic activity and doped graphenes. We find that HER performance can be dramatically improved waved-graphene due to localized chemical potential Pt-analogous achieved at suitable compression. (1) For graphene, calculated increases more than 50% tuned by reduced Gibbs...
Purpose Fire smoke detection in petrochemical plant can prevent fire and ensure production safety life safety. The purpose of this paper is to solve the problem missed false flame under complex factory background. Design/methodology/approach This presents a algorithm based on YOLOv5. target regression loss function (CIoU) used improve model performance. improved activation avoids gradient disappearance maintain high real-time performance algorithm. Data enhancement technology enhance ability...
With the sensor scaling of next-generation Brain-Machine Interface (BMI) systems, massive A/D conversion and analog multiplexing at neural frontend poses a challenge in terms power data rates for wireless implantable BMIs. While previous works have reported neuromorphic compression signal, further requires integration spike detectors on chip. In this work, we propose an efficient HRAM-based detector using In-memory computing compressive event-based frontend. Our proposed method involves...
Point clouds or depth images captured by current RGB-D cameras often suffer from low resolution, rendering them insufficient for applications such as 3D reconstruction and robots. Existing point cloud super-resolution (PCSR) methods are either constrained geometric artifacts lack attention to edge details. To address these issues, we propose an edge-guided geometric-preserving (EGP3D) method tailored cameras. Our approach innovatively optimizes the with constraint on a projected 2D space,...
Unmanned vehicles detect the traffic environment through on-board sensors, automatically identify road safety information without human control, and plan parameters such as driving speed route.However, foggy weather will reduce detection accuracy of visibility by unmanned affect vehicles.In order to probability dangerous accidents caused fog improve vehicle capability in environments, a fast-guided-filtering algorithm is proposed.Firstly, original image processed dark channel prior, values...
Abstract The optical imaging of the target motion process is susceptible to occlusion, resulting in detection failure and tracking loss. Aiming at problems low accuracy poor robustness existing multi-target algorithms, this paper improves YOLOv8 algorithm DeepSort algorithm, constructs a + joint algorithm. In order enhance feature extraction ability model, CBAM module introduced into retain more information. further improve performance Hungarian selected achieve optimal matching box...
Due to the flammable and explosive characteristics of raw materials such as oil natural gas, petrochemical production process is a high-risk accompanied by failures, risks, accidents even disasters. Preventing risks ensuring safety has always been an eternal topic in industry, received extensive attention from academic technological research fields fields. Based on analysis some typical accident cases both at home abroad, this paper reviews development history, technical status existing...