Dan Xia

ORCID: 0000-0003-3522-7072
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About
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Research Areas
  • Muscle activation and electromyography studies
  • IoT and Edge/Fog Computing
  • Stroke Rehabilitation and Recovery
  • Image Processing and 3D Reconstruction
  • Advanced Computing and Algorithms
  • Advanced MIMO Systems Optimization
  • Assembly Line Balancing Optimization
  • Industrial Vision Systems and Defect Detection
  • Simulation and Modeling Applications
  • Scheduling and Optimization Algorithms
  • Software-Defined Networks and 5G
  • Educational Technology and Assessment
  • Digital Transformation in Industry
  • Network Time Synchronization Technologies
  • Telecommunications and Broadcasting Technologies
  • Optimization and Search Problems
  • Advanced Wireless Communication Technologies
  • Musculoskeletal pain and rehabilitation
  • EEG and Brain-Computer Interfaces
  • Advanced Neural Network Applications

Hohai University
2025

South China University of Technology
2022-2023

Inner Mongolia Agricultural University
2014

Terahertz and higher frequency band wireless communication technologies represent the most promising spectrums for 6G networks. Compared to 4G/5G networks, networks operate in a with greater propagation penetration losses, which may bring serious challenges network planning green communications. The digital twin (DT) technology is able model simulate improve performance deployment efficiency. artificial intelligence (AI) algorithms provide strong self-evolution self-optimization...

10.1109/mwc.017.2200495 article EN IEEE Wireless Communications 2023-06-01

The routing algorithm based on a single metric parameter is difficult to meet the Quality of Services (QoS) requirements multi-source data flows in software-defined factory heterogeneous network, resulting link congestion and waste network resources. To solve problem, this paper proposes QoS optimization method for networks double deep Q (DDQN). First, architecture proposed networks, function latency load balancing established. Then, DDQN used obtain optimal paths flows, path uniformly...

10.1109/tnsm.2022.3208342 article EN IEEE Transactions on Network and Service Management 2022-09-21

With the development of artificial intelligence, machine vision technology based on deep learning is an effective way to improve production efficiency. Because rapid update automobile manufacturing industry and large variety products, time number samples model are limited, which brings great difficulties recognition components. Therefore, considering economic benefits enterprises, this paper proposes intelligent component method appropriate for small datasets, aiming explore automatic system...

10.1155/2023/1903292 article EN cc-by International Journal of Intelligent Systems 2023-02-21

Harmful compensatory motion will seriously influence the upper limb rehabilitation effect of stroke patients. Existing pattern detection methods, which are mainly based on accelerometers, inertial measurement units (IMUs), and vision, have problems such as high installation requirements, calibration difficulty, object occlusion, complex operations. To solve these problems, by analyzing principle motion, this paper designs a trunk restraint belt, compensation mode system that is composed...

10.1109/jsen.2022.3190503 article EN IEEE Sensors Journal 2022-07-19

The foaming reaction so that all water-gel and to reach equilibrium, the excellent thermal insulation material was prepared by regulation of catalyst, a nucleating agent an isocyanate. By experiment we know amount stannous octoate catalyst 6%, 4% CaCO 3 , case 100% isocyanate, density foam mechanical properties achieve best value.

10.4028/www.scientific.net/amm.563.41 article EN Applied Mechanics and Materials 2014-05-01
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