- Natural Language Processing Techniques
- Robotics and Sensor-Based Localization
- Advanced DC-DC Converters
- Topic Modeling
- Optical measurement and interference techniques
- Muscle activation and electromyography studies
- Advanced Neural Network Applications
- Robot Manipulation and Learning
- Human-Automation Interaction and Safety
- 3D Shape Modeling and Analysis
- Video Surveillance and Tracking Methods
- Machine Fault Diagnosis Techniques
- Multilevel Inverters and Converters
- 3D Surveying and Cultural Heritage
- Heart Rate Variability and Autonomic Control
- Evaluation Methods in Various Fields
- Soft Robotics and Applications
- Advanced Vision and Imaging
- Fault Detection and Control Systems
- Microgrid Control and Optimization
- Optical Systems and Laser Technology
- Aerospace and Aviation Technology
- Domain Adaptation and Few-Shot Learning
- Advanced Algorithms and Applications
- Influenza Virus Research Studies
Anhui Provincial Meteorological Bureau
2025
University of Shanghai for Science and Technology
2024-2025
Hong Kong Polytechnic University
2024
Huazhong University of Science and Technology
2013-2023
Wuhan University
2018
Xi'an Jiaotong University
2013-2016
Jiangxi University of Technology
2013
Donghua University
2011
A piecewise analytical function is proposed and applied to investigate the steady-state behavior of series-parallel resonant converter operated in a discontinuous current mode. The shows two sequences equivalent circuits alternatively mode with different output voltages. To get response time one resonance, successive solving process based on state-space method presented analytically each sequence. This can describe complicated resulting from load rectifier, which makes capacitor appear or...
Due to climate change and rapid urbanization, the frequency of heatwave events in East China has increased considerably since 21st century, which a considerable influence on human health, such as heatstroke. However, few studies have been conducted this region relationship between heatstroke meteorological conditions. To address point, study aimed analyze characteristics their with conditions Hefei, China. The 2008–2022 data from Hefei Center for Disease Control Prevention was used....
With the large-scale integration of wind power into grid in recent years, quality pollution systems has been deteriorating increasingly. The existing assessment methods are hardly applicable to grid-connected systems. Therefore, enhance supply grid, this paper proposes a method based on game theory combination empowerment. According characteristics generation and issues, establishes set evaluation index Then, G1 improved CRITIC used obtain subjective objective weights each index. idea is...
The inherent sparsity of LiDAR data often leads to extremely sparse depth maps, which poses a challenge for the development LiDAR-based egocentric vehicles, such as self-driving cars and mobile robots. To overcome this limitation, guided completion methods use calibrated camera images create precise, dense predictions from data. However, extreme reliance on image limits its generalization completion, especially robustness weather light. In paper, we aim utilize only during training phase...
The traditional cockpit display-control system usually has great many instruments and much complex information, which leads to the pilots take a long time be familiar with interface often cause accidents when emergencies happen. Thus it is necessary evaluate cognitive workload of under multitask conditions. A simplified evaluation method by approximate entropy (ApEn) electroencephalography (EEG) proposed in this paper. We design series experiments about flight instruments, have different...
Place recognition is a critical capability for autonomous vehicles. It matches current sensor data with pre-built database to provide coarse localization results. However, the effectiveness of long-term place may be degraded by environment changes, such as seasonal or weather changes. To have deep understanding this issue, we conduct comprehensive evaluation study on several state-of-the-art range sensing-based (i.e., LiDAR and radar) methods Borease dataset, which encapsulates scenarios...
Abstract Fabrication of flexible Micro-LEDs is becoming an important technology for displays, which plays a significant role in the field visual communication upcoming Internet-of-Things era and metaverse. Here, we explore high-quality laser lift-off (LLO) methods gallium nitride (GaN)-based Micro-LED arrays using LLO to separate from sapphire substrates via KrF excimer system ( λ = 248 nm). At same time, damage GaN under high energy density was analyzed. Ultimately, used viscoelastic stamp...
In modern power system, there are two sets of measurement systems, SCADA system and WAMS system. Both them have their own advantages, has accumulated a wealth operational experience in long-term operation, while can provide more accurate fast updated data. This paper first gave brief introduction to the then summarized difficulties corresponding solutions data fusion between them. Besides, reviewed state mining method three main algorithms estimation basing on systems. It showed that by...
As one of the key components for active compliance control and human–robot collaboration, a six-axis force sensor is often used robot to obtain contact forces. However, significant problem distortion between forces data conveyed by because its zero drift, system error, gravity end-effector. To eliminate above disturbances, an integrated compensation method proposed, which uses deep learning network least squares realize zero-point prediction tool load identification, respectively. After...
Learning the Semantic Textual Similarity (STS) is a critical issue for many NLP tasks such as question answering, document summarization and etc.. In this paper, we combine Multiplicative LSTM structure with Siamese architecture which learn to project word embeddings of each sentence into fixed-dimensional embedding space represent sentence. Then these can be used evaluate STS task. We compare several similar architectures proposed method has achieved better results competitive best...
Nowadays, bending workpiece angle measurement methods require touching the surface, which makes them prone to scratching workpieces and inefficient. To solve above problems, we propose a non-contact system based on multi-line structured light. First, bilinear laser is projected onto surface of machine tool lower die. However, reflections smooth will greatly destroy accuracy. In this work, UNet-based multi-exposure image fusion strategy proposed clip reflection increase feature. Then, Steger...
Abstract The structure of electrolytic capacitorless in automotive electronic applications has the advantages lower cost and better reliability. However, motor drive systems using this may experience unstable bus voltage. To end, paper proposes an active damping control strategy based on virtual impedance. By modelling electric system conducting stability analysis, cause voltage resonance due to use small capacitors is revealed. Based extracted DC harmonic signal, additional vectors are...
Abstract This paper designs a six-axis industrial robot servo system based on Advanced RISC Machine (ARM) + Field Programmable Gate Array (FPGA), which combines the advantages of small size, smooth speed, high precision and low jitter, parallel processing FPGA realizes multiple Field-Oriented Control (FOC) algorithms to collect output data efficiently. The implements multi-way algorithm efficiently data, ARM reads through Flexible Memory Controller (FMC) bus configure drive robot, enhances...
In the traditional cockpit display-control system, pilots have to face more and instruments response complex information simultaneously. order study change characteristics of mental workload under such multi-task condition, take virtual for design objects set up a series tasks. With increase quantity frequency m instruments, task becomes difficult. Then QN-MHP is established evaluate according characteristic above tasks processing manner human. At same time, carry out corresponding EEG...