A5041726014- Infrared Target Detection Methodologies
- Photonic and Optical Devices
- 3D Shape Modeling and Analysis
- Advanced Measurement and Detection Methods
- Advanced Numerical Analysis Techniques
- Innovative Energy Harvesting Technologies
- Advanced Optical Sensing Technologies
- Advanced Image Fusion Techniques
- Optical Systems and Laser Technology
- Wireless Power Transfer Systems
- Remote-Sensing Image Classification
- Calibration and Measurement Techniques
- Iterative Learning Control Systems
- Ocular and Laser Science Research
- Spectroscopy and Chemometric Analyses
- Advanced Fiber Laser Technologies
- Energy Harvesting in Wireless Networks
- Optical Coatings and Gratings
- Advanced Image and Video Retrieval Techniques
- Computer Graphics and Visualization Techniques
- Video Surveillance and Tracking Methods
- Manufacturing Process and Optimization
- Design Education and Practice
- Remote Sensing and Land Use
- Photoacoustic and Ultrasonic Imaging
Wuhan National Laboratory for Optoelectronics
2011-2025
Huazhong University of Science and Technology
2012-2025
North China Research Institute of Electro-optics
2012-2024
Jiangsu University of Science and Technology
2024
Shanxi Datong University
2015-2024
Changchun University of Technology
2023-2024
Beijing University of Posts and Telecommunications
2007-2023
Tianjin University
2019-2023
Beijing University of Chemical Technology
2023
Tianjin University of Technology
2022
With the development of artificial intelligence technology and popularity intelligent production projects, inspection systems have gradually become a hot topic in industrial field. As fundamental problem field computer vision, how to achieve object detection industry while taking into account accuracy real-time is an important challenge systems. The defects on steel surfaces application industry. Correct fast surface can greatly improve productivity product quality. To this end, paper...
Tool wear is a key factor in the machining process, which affects tool life and quality of machined work piece. Therefore, it crucial to monitor diagnose condition. An improved CaAt-ResNet-1d model for multi-sensor diagnosis was proposed. The ResNet18 structure based on one-dimensional convolutional neural network adopted make basic architecture. more suitable feature extraction time series data. Add channel attention mechanism CaAt1 residual block CaAt5 automatically learns features...
Upon the advent of big data era, information processing hardware platforms have undergone explosive development, facilitating unprecedented computational capabilities while significantly reducing energy consumption. However, conventional electronic computing hardware, despite significant upgrades in architecture optimization and chip scaling, still faces fundamental limitations speed efficiency due to Joule heating, electromagnetic crosstalk, capacitance. A new type is urgently needed for...
Fatal polysulfide shuttling, sluggish sulfur redox kinetics and detrimental lithium dendrites have curtailed the real discharge capacity, working lifespan safety of lithium–sulfur (Li–S) batteries. Organic small molecule promotors as one type emerging active catalysts can fulfil management electrochemical species evolution behaviors. Herein, an integrated engineering is organized by synthesizing dual chlorine‐bridge enabled binuclear copper complex (Cu2(phen)2Cl2) its derivative generated in...
Feature selection and dimensionality reduction are important for the performance of wind turbine condition monitoring models using supervisory control data acquisition (SCADA) data. In this paper, an improved random forest algorithm, namely Simplification Random Forest (FS_RF), is proposed, which capable identifying features closely correlated with working conditions. The Euclidian distances employed to distinguish weight same feature among different samples, its importance measured by means...
Abstract A hybrid energy harvester (HEH) is designed using a movable magnet to harvest the mechanical for rotational motion. One movement of can generate electricity from piezoelectric nanogenerators (PENG) and electromagnetic generators (EMG), improving conversion efficiency HEH. The main factors affecting motion characteristics active magnets (number diameter) are illustrated through theoretical modeling simulation, voltage EMG vibration PENG analyzed. According characteristics,...
Abstract Wave energy is a widespread clean source, but harvesting low-frequency wave efficiently remains challenge. In this paper, frequency-increasing piezoelectric harvester (FPWEH) based on gear mechanism and magnetic rotor proposed. The transforms the vertical motion of into higher-frequency rotational rotor. equipped with several rotating magnets one revolution enables multiple excitations cantilevers. Therefore, excitation frequency increased, so that FPWEH can obtain better output...
It has lately become an important research area of digital forensics to identify the characteristics and originality devices. This paper presents a novel method source color laser printer by using discrete wavelet transform feature selection algorithms. To explore relationship between printers images obtained scanning printed documents, proposed approach utilizes image processing techniques data exploration methods calculate features applying statistical analysis on scanned images. A model...
The Micro-Opto-Electro-Mechanical Systems (MOEMS) accelerometer is a new type of that combines the merits optical measurement and Micro-Electro-Mechanical (MEMS) to enable high precision, small volume, anti-electromagnetism disturbance acceleration, which makes it promising candidate for inertial navigation seismic monitoring. This paper proposes modified micro-grating-based introduces design method characterize grating interferometer. A MEMS sensor chip with sensitivity was designed...
Metal artifact suppression in images of terahertz computed tomography is a bottleneck problem that hinders the development this technique, and few studies have been conducted so far. In paper, we propose metal method containing 8 steps based on idea sinogram restoration. The has applied to slice several objects effects before after compared verify effectiveness method. And it provides reliable reference for subsequent solution problem.
Abstract Harvesting energy from rotational motion is an efficient and widely used technology that provides power support for various electronic devices systems by converting mechanical kinetic into electrical energy. This harvesting method shows great potential advantages in industrial automation, transportation, wind generation, smart homes. study proposes a piezoelectric-electromagnetic hybrid harvester (HEH) driven magnetic repulsion. HEH comprises of two parts: piezoelectric (PEH)...
Microflow catalysis is a cutting-edge approach to advancing chemical synthesis and manufacturing, but the challenge lies in developing efficient stable multiphase catalysts. Here we showcase incorporating amine-containing metal-organic cages into automated microfluidic reactors through covalent bonds, enabling highly continuous flow catalysis. Two Fe4L4 tetrahedral bearing four uncoordinated amines were designed synthesized. Post-synthetic modifications of amine groups with...