A5037371362- Stroke Rehabilitation and Recovery
- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- Optimization and Packing Problems
- Metaheuristic Optimization Algorithms Research
- Advanced Manufacturing and Logistics Optimization
- Quantum Mechanics and Applications
- Neural Networks and Applications
- Artificial Intelligence Applications
- Remote Sensing and Land Use
- Video Surveillance and Tracking Methods
- Vehicle License Plate Recognition
- Advanced Image Fusion Techniques
- Musculoskeletal Disorders and Rehabilitation
- Quantum Information and Cryptography
- Musculoskeletal pain and rehabilitation
- Robotic Path Planning Algorithms
- Vehicle Routing Optimization Methods
- AI and Multimedia in Education
- Advanced Technologies in Various Fields
- Hydrological Forecasting Using AI
- Winter Sports Injuries and Performance
- Mechanics and Biomechanics Studies
- Remote-Sensing Image Classification
- Grey System Theory Applications
Northeastern University
2018-2023
Sichuan Agricultural University
2022
Zhongyuan University of Technology
2021-2022
Beijing Normal University
2021
Southern University of Science and Technology
2019
Hainan University
2013
Nonclassical correlations can be regarded as resources for quantum information processing. However, the classification problem of nonclassical states remains a challenge, even finite-size systems. Although there exists set criteria determining individual correlations, unified framework that is capable simultaneously classifying multiple still missing. In this Letter, we experimentally explored possibility applying machine-learning methods identifying correlations. Specifically, by using...
The emergence of exoskeleton rehabilitation training has brought good news to patients with limb dysfunction. Rehabilitation robots are used assist and play an essential role in promoting the patient’s sports function disease restoring daily life. In order improve treatment, various studies based on human dynamics motion mechanisms still being conducted create more effective training. this paper, considering biological musculoskeletal model, a humanoid control gait data collected from normal...
Bio-controllers inspired by the characteristics of human lower limb play an important role in study rehabilitation robots (LLRRs). However, inverse dynamics modeling for remains a challenging issue due to non-linear and strong coupling bio-controller. To further improve model’s accuracy, this paper proposes use non-parametric approach order learn it. In detail, main idea is motion data joints limbs healthy people as input corresponding joint moments output, which are learned through training...
To reduce logistics scheduling costs and energy consumption, this paper studies the slab allocation hot-rolling integrated optimization problem that arises in practical iron steel enterprises. In problem, slabs are first allocated to orders then sent heating furnaces for heating; then, they a mill rolling. A 0–1 integer programming model is established minimize attribute difference cost between orders, switching of processing, waiting times after reach rolling mills. Given problem’s...
The tank capacity chart calibration problem of two oil tanks with deflection was studied, one which is an elliptical cylinder storage truncated ends and another a spherical crowns. Firstly, the function relation between reserve height based on integral method precisely deduced, when has longitudinal inclination but no deflection. Secondly, nonlinear optimization model both parameter<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"...
This paper proposes an improved differential evolution (DE) algorithm with local search to solve the capacitated vehicle routing problem (CVRP). CVRP is a kind of typical capacity constraint vehicle. The proposed DE employs three different mutation operations at iteration phases, respectively, which are try avoid premature, accelerate convergence, and enhance robustness simultaneously. While can help improve solution quality. several similar type algorithms compared based on benchmark tests....
As a new tourism industry model, the ice and snow sports has played an increasingly important role in development of China’s entire industry. This paper analyzes structural optimization chain based on sensor network communication artificial intelligence aims to fully apply technology Let us look for optimized method promote structure. conducts research structure intelligence. In part, this article explains architecture nodes networks, uses long-term monitoring wireless networks flexibility...
The status and role of science technology in the field modern competitive sports have become increasingly prominent. construction a scientific training command system is great significance for improving level process deepening digital cognition ski training. This paper based on multisensor combination to conduct research cross‐country skiing training, aiming in‐depth realization human motion capture theory inertial sensing. To build scientific, formal, malleable program, requirements data...
Lower limb rehabilitation exoskeleton robots are used for training of patients with lower disorders, which can help improve their motor ability. This paper proposes a gait prediction model to predict the trajectory wearer human-robot cooperation ability and wearing experience patients. The is constructed based on convolutional neural network (CNN), long short-term memory (LSTM), attention mechanism. For model, human data collected utilizing motion capture equipment. In detail, spatial...
Abstract The purpose of vehicle reidentification is to distinguish the same from different vehicles using cameras. main challenge this task significant intra‐instance discrepancy views and subtle inter‐instance differences similar views. To address problem, researchers have attempted align features views, such as additional metadata (colour, type, key points, mask, etc.) improve performance. Although these attempts performance reidentification, considerable efforts are required create...
Considering the designing controller of a lower limb rehabilitation robot, an accurate inverse dynamic model is usually needed to calculate joint torque, which key trajectory execution. However, physical modeling method will have various uncertainties, resulting in inaccurate estimating and measuring parameters. Therefore, this paper proposes use Gated Recurrent Unit (GRU) learn model. First all, gait data plantar force healthy people are obtained synchronously using NOKOV 3D optical motion...