A5076405069- Robotic Mechanisms and Dynamics
- Robotic Path Planning Algorithms
- Magnetic Properties of Alloys
- Piezoelectric Actuators and Control
- Magnetic properties of thin films
- Microplastics and Plastic Pollution
- Underwater Vehicles and Communication Systems
- Molecular Sensors and Ion Detection
- Iterative Learning Control Systems
- Rare-earth and actinide compounds
- Advanced Wireless Communication Techniques
- Manufacturing Process and Optimization
- interferon and immune responses
- Control and Dynamics of Mobile Robots
- Magneto-Optical Properties and Applications
- Adaptive Control of Nonlinear Systems
- Recycling and Waste Management Techniques
- Magnetic Properties and Synthesis of Ferrites
- Luminescence and Fluorescent Materials
- Immune responses and vaccinations
- Inertial Sensor and Navigation
- Mechatronics Education and Applications
- Topology Optimization in Engineering
- Digital Media Forensic Detection
- Advanced MIMO Systems Optimization
Guizhou Minzu University
2023-2025
Anhui University
2025
Fifth Affiliated Hospital of Sun Yat-sen University
2024
Sun Yat-sen University
2024
NARI Group (China)
2020-2023
Southeast University
2023
Purple Mountain Laboratories
2023
National Institute for Parasitic Diseases
2020-2022
Shanghai Jiao Tong University
2004-2022
National Health and Family Planning Commission
2022
Schistosomiasis, which is caused by infection with Schistosoma spp., characterized granuloma and fibrosis in response to egg deposition. Pattern recognition receptors are important sense invading , triggering an innate immune response, subsequently shaping adaptive immunity. Cyclic GMP-AMP synthase (cGAS) was identified as a major cytosolic DNA sensor, catalyzes the formation of cyclic (cGAMP), critical second messenger for activation adaptor protein stimulator interferon genes (STING). The...
In this work, the energy‐optimal trajectory planning and initial pick point searching problem for palletizing robot with high load capacity speed are studied, in which place of fixed to a desired location each single task. These optimization problems have been transformed ternary functional extremum parameters optimal selection performance index rigid‐flexible coupling dynamics model robot, constraint boundary conditions given. The fourth‐order Runge‐Kutta method, multiple shooting...
A task-priority redundancy resolution with restoring moments optimized on acceleration level for the underwater vehicle-manipulator system is investigated in this article. Redundant a key and difficult problem system’s trajectory planning. Firstly, kinematic modeling dynamic based Lagrange method are studied. To overcome acceleration’s sudden change traditional method, new proposed. In approach, scalar potential function established used reducing effect of by applying gradient projection....
Characterization of chemical state and electronic structure the technologically important Nd2Fe14B compound is attractive for understanding physical nature its excellent magnetic properties. X-ray photoelectron spectroscopy (XPS) study such rare-earth also challenging due to easy oxidation surface small cross-sections 4f electrons B 2p electrons, etc. Here, we reported an investigation based on XPS spectra as a function Ar ion sputtering time. The Fe that in can be clearly determined 0 −3,...
Abstract Background The main symptoms of schistosomiasis are granuloma and fibrosis, caused by Schistosoma eggs. Numerous types cells cytokines involved in the progression infection. As a class innate immune cells, γδ T play critical roles early response. However, their role modulating fibrosis remains to be clarified. Methods Liver wild-type (WT) mice cell receptor (TCR) δ knockout (KO) infected with japonicum was examined via Masson’s trichrome staining collagen deposition quantitative...
An effective structural optimization method based on a sensitivity analysis is proposed to optimize the variable section of slender robot arm. The structure mechanism and operating principle polishing are introduced firstly, its stiffness model established. Then, design sequential linear programming (SLP) strategy developed. At beginning optimization, applied select sensitive variables which can make optimized results more efficient accurate. In addition, it also be used determine scale...
In this paper, a method of structure optimization for high-speed and heavy-load robot based on dynamic characteristic analysis is presented. Firstly, the flexible coupling dynamics model established modal carried out. Then concept relative sensitivity presented, by which variables are determined. According to operating characteristics robot, such as palletizing cycles per hour, terminal repeat positioning accuracy rated load, indicators can be proposed, lowest natural frequency, maximum...
Multiobjective trajectory optimization and adaptive backstepping control method based on recursive fuzzy wavelet neural network (RFWNN) are proposed to solve the problem of dynamic modeling uncertainties strong external disturbance rubber unstacking robot during recycling process. First, according viscoelastic properties, Hunt-Crossley nonlinear model is used construct dynamics model. Then, combined with process characteristics, multiobjective carried out for operational efficiency, running...
In this paper, we consider a radio resource management (RRM) problem in the dynamic wireless networks, comprising multiple communication links that share same spectrum resource. To achieve high network throughput while ensuring fairness across all links, formulate resilient power optimization with per-user minimum-rate constraints. We obtain corresponding Lagrangian dual and parameterize variables neural which can be trained an unsupervised manner due to provably acceptable duality gap....
Along with the prosperity of generative artificial intelligence (AI), its potential for solving conventional challenges in wireless communications has also surfaced. Inspired by this trend, we investigate application advanced diffusion models (DMs), a representative class AI models, to high dimensional channel estimation. By capturing structure multiple-input multiple-output (MIMO) channels via deep prior encoded DMs, develop novel posterior inference method reconstruction. We further adapt...
Data-driven deep learning (DL) has delivered impressive performance gains in physical layer communications recent years. However, the black box nature of these models makes them difficult to interpret and requires massive training datasets, which hinders their practical deployment future development. A state-of-the-art architecture, known as model-driven DL, offers tremendous potential for addressing issues by properly relating neural networks algorithms with strong theoretical foundations...