- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Fault Detection and Control Systems
- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Engineering Diagnostics and Reliability
- Advanced Measurement and Detection Methods
- Image and Signal Denoising Methods
- Industrial Technology and Control Systems
- Advanced Computational Techniques and Applications
- Structural Health Monitoring Techniques
- Blind Source Separation Techniques
- Simulation and Modeling Applications
- Energy Load and Power Forecasting
- Advanced Photocatalysis Techniques
- Power Systems Fault Detection
- Geomechanics and Mining Engineering
- Advanced Image Fusion Techniques
- Fluid Dynamics and Turbulent Flows
- Iterative Learning Control Systems
- Robotic Mechanisms and Dynamics
- Advanced machining processes and optimization
- Wireless Sensor Networks and IoT
- Vibration and Dynamic Analysis
- Spectroscopy and Chemometric Analyses
Jiamusi University
2024-2025
Dalian University of Technology
2009-2025
North China University of Water Resources and Electric Power
2025
Northwestern Polytechnical University
2015-2024
AviChina Industry & Technology (China)
2024
Weifang University of Science and Technology
2023
Henan University of Technology
2023
Zhongyuan University of Technology
2023
Guilin University of Electronic Technology
2023
Harbin University
2023
Accurate weed detection is essential for precise control in farmland, and machine vision serves as an effective method identifying targeting these unwanted plants. An advanced YOLOx model, incorporating a deep network connection lightweight attention mechanism, has been proposed to effectively identify distinct types of weeds maize seedling fields. The module connected the YOLOx-Darknet, which weakens channel noise effect residual computation thus makes model more efficient. A deconvolution...
In dynamic gesture track recognition, recognition rate has always been a problem, Because the traditional hand in how to separate type from surrounding environment, and then determine palm position one of difficult problems. This paper presents Kinect based trajectory identification method, use OpenNI where is defined as node, quickly accurately get coordinates, HMM technology do model training improve rate. The experimental results show that this method higher than traditional.
Condition monitoring and fault diagnosis of diesel engines are great significance for safety production maintenance cost control. The digital twin method based on data-driven physical model fusion has attracted more attention. However, the existing methods lack deeper integration optimization facing complex systems. Most algorithms deep learning transform data into substitution model. interpretability limits its practical application. attention mechanism is gradually developed to access...
Abstract A self‐supporting flexible electrode, composed of 1T phase MoS₂ nanosheets synthesized on carbon cloth, was fabricated using a one‐step hydrothermal method. This electrode material exhibits outstanding electrochemical performance when utilized as the anode for both lithium‐ion and sodium‐ion batteries. In batteries, capacity approximately 600 mAh g⁻¹ is retained after 150 cycles at current density 0.1 g⁻¹. high 500 sustained even 100 cycles. Compared to powder cloth with that has...
We study bilinear embedding models for the task of multi-relational link prediction and knowledge graph completion. Bilinear belong to most basic this task, they are comparably efficient train use, can provide good performance. The main goal paper is explore expressiveness connections between various proposed in literature. In particular, a substantial number be represented as with certain additional constraints enforced on embeddings. whether or not these lead universal models, which...
It has been previously established that photochemical smog occurring in the Pearl River Delta Region (PRD) was associated with stagnant meteorological conditions. However, (17 July to 20 2005) induced by typhoon Haitang moderate wind speed and nonstagnant The dynamic process of this ozone episode studied using an integrated numerical model, is, a mesoscale model Community Multiscale Air Quality (CMAQ) model. Model performance evaluated both ground-based air quality observations. Analysis...
Abstract AI-based protein structure prediction pipelines, such as AlphaFold2, have achieved near-experimental accuracy. These advanced pipelines mainly rely on Multiple Sequence Alignments (MSAs) inputs to learn the co-evolution information from homologous sequences. Nonetheless, searching MSAs databases is time-consuming, usually taking dozens of minutes. Consequently, we attempt explore limits fast by using only primary sequences proteins. HelixFold-Single proposed combine a large-scale...
The bridge-type bridge crane is a common lifting equipment used in modern factories and workshops. During the crane’s operation, positioning of trolley swing load can significantly impact safety reliability. In this paper, we propose variable universe fuzzy multi-parameter self-tuning PID (VUFMS-PID) control strategy for controlling trolley’s movement. Our uses scaling factor variation to dynamically adjust number rules based on system error rate change. This approach improves accuracy...