A5100651141- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Advanced Computational Techniques and Applications
- Robotic Mechanisms and Dynamics
- Advanced Measurement and Metrology Techniques
- Iterative Learning Control Systems
- Fault Detection and Control Systems
- Robotic Path Planning Algorithms
- Simulation and Modeling Applications
- Geoscience and Mining Technology
- Modular Robots and Swarm Intelligence
- Advanced Vision and Imaging
- Embedded Systems and FPGA Design
- Advanced Measurement and Detection Methods
- Robot Manipulation and Learning
- Industrial Vision Systems and Defect Detection
- Advanced Decision-Making Techniques
- Remote Sensing and Land Use
- Image and Object Detection Techniques
- Vibration and Dynamic Analysis
- Control Systems and Identification
- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Control and Dynamics of Mobile Robots
Hubei University
2004-2025
Zhejiang University
2013-2024
Academy of Military Medical Sciences
2024
Florida A&M University - Florida State University College of Engineering
2020-2024
China Academy of Space Technology
2024
Wanhua Chemical (China)
2023
Hangzhou Dianzi University
2006-2023
Guizhou Electromechanical Research and Design Institute
2023
Wuhan University of Science and Technology
2023
Zhejiang University of Finance and Economics
2023
As one of the key characteristics virtualization, live virtual machine (VM) migration provides great benefits for load balancing, power management, fault tolerance and other system maintenance issues in modern clusters data centers. Although Pre-Copy is a widespread used algorithm, it does transfer lot duplicated memory image from source to destination, which results longer time downtime. This paper proposes novel VM approach, named Migration with Data Deduplication (MDD), introduces...
The positioning accuracy of a robot is great significance in advanced robotic manufacturing systems. This paper proposes novel calibration method for improving accuracy. First all, geometric parameters are identified on the basis product exponentials (POE) formula. errors reduction ratio and coupling at same time. Then, joint stiffness identification carried out by adding load to end-effector. Finally, residual caused nongeometric compensated multilayer perceptron neural network (MLPNN)...
Given the advantages of softness, lightness, low cost, and interaction safety, inverse kinematic modeling control soft actuators has caused a research boom. However, in realizing dexterous manipulation space large manipulators, it is much more difficult to achieve precise not only because greater accumulation errors multiple degrees freedom nonlinear properties materials at scales but also inability directly solving kinematics cases singular pure elongation. In this work, model-free...
An inverse minimum spanning tree problem makes the least modification on edge weights such that a predetermined is with respect to new weights. In this paper, concept of uncertain <TEX>${\alpha}$</TEX>-minimum initiated for Using different decision criteria, two programming models are presented formulate specific involving sum-type model and minimax-type model. By means operational law independent variables, transformed their equivalent deterministic which can be solved by classic...
Positioning accuracy is of great significance for industrial robots in high-end industries. In addition to kinematic parameter errors, there are also some dynamic which nonlinear. This paper proposes a novel method improve the positioning robot, takes both kinematics and dynamics errors into account. Firstly, uses improved Denavit-Hartenberg (DH) model establish identifies geometric errors. Then, deformation joint analysed, angle deviation each due end load compensated. Finally, improvement...
This paper, proposes a novel solution for stereo vision machine based on the System-on-Programmable-Chip (SoPC) architecture. The SOPC technology provides great convenience accessing many hardware devices such as DDRII, SSRAM, Flash, etc., by IP reuse. system is implemented in single FPGA chip involving 32-bit Nios II microprocessor, which configurable soft core charge of managing image buffer and users’ configuration data. Sum Absolute Differences (SAD) algorithm used dense disparity map...
Background Accurate evaluation of glomerular filtration rates (GFRs) is critical importance in clinical practice. A previous study showed that models based on artificial neural networks (ANNs) could achieve a better performance than traditional equations. However, large-sample cross-sectional surveys have not resolved questions about ANN performance. Methods total 1,180 patients had chronic kidney disease (CKD) were enrolled the development data set, internal validation set and external set....
Time-optimal feedrate planning theory has been widely applied in high-speed machining to improve efficiencies with a specified trajectory accuracy by fully exploiting the capabilities of computer numerical control machine tools. Reasonable and effective constraints conforming practical situations are necessary conditions for obtaining optimal results. In this article, complex constraints, such as motor torque constraint, contour error friction instruction velocity constraint smooth...
Abstract One key concept of Industry 4.0 is the industrial digital twin (DT)—a virtual replica physical assets, processes, and systems. DTs optimise operations, enhance productivity, facilitate innovation across various industries, including manufacturing, energy, healthcare, transportation. This paper presents a multi‐domain multi‐time scale modelling simulation platform, featuring built‐in model libraries that represent diverse physical, chemical, behavioural properties. A comprehensive...
To evaluate the performance of advanced driver assistant systems, such as lane departure warning systems (LDWs) and keeping assist (LKAs), a deep learning model is proposed to estimate lateral distance between vehicle boundaries. The training requires large number label images, but generation images time consuming boring. Therefore, an improved image quilting algorithm based on convolutional neural network proposed. A lot asphalt pavement can be synthesised using fewer real road scene....
Abstract Live performance is an intuitive way to naturally draft the desired motion in choreographer's mind. In this paper we present a novel approach choreographing motions by live captured with degree of freedom (3‐DOF) accelerometers. The process begins placing accelerometers on user's limbs according pre‐specified positions. computer then recognizes performed actions using Hidden Markov Model (HMM), which pre‐trained acceleration data samples automatically generated from pre‐segmented...