A systematic review of digital twin about physical entities, virtual models, twin data, and applications

X Liu, D Jiang, B Tao, F Xiang, G Jiang, Y Sun… - Advanced Engineering …, 2023 - Elsevier
The digital twin is a crucial technology for realizing smart manufacturing and industrial digital
transformation, which has received extensive attention and research from industry and …

A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2022 - Springer
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Multi-scale feature fusion convolutional neural network for indoor small target detection

L Huang, C Chen, J Yun, Y Sun, J Tian, Z Hao… - Frontiers in …, 2022 - frontiersin.org
The development of object detection technology makes it possible for robots to interact with
people and the environment, but the changeable application scenarios make the detection …

Low-illumination image enhancement algorithm based on improved multi-scale Retinex and ABC algorithm optimization

Y Sun, Z Zhao, D Jiang, X Tong, B Tao… - … in Bioengineering and …, 2022 - frontiersin.org
In order to solve the problems of poor image quality, loss of detail information and excessive
brightness enhancement during image enhancement in low light environment, we propose a …

Self-tuning control of manipulator positioning based on fuzzy PID and PSO algorithm

Y Liu, D Jiang, J Yun, Y Sun, C Li, G Jiang… - … in Bioengineering and …, 2022 - frontiersin.org
With the manipulator performs fixed-point tasks, it becomes adversely affected by external
disturbances, parameter variations, and random noise. Therefore, it is essential to improve …

Real-time target detection method based on lightweight convolutional neural network

J Yun, D Jiang, Y Liu, Y Sun, B Tao, J Kong… - … in Bioengineering and …, 2022 - frontiersin.org
The continuous development of deep learning improves target detection technology day by
day. The current research focuses on improving the accuracy of target detection technology …

Deep learning based 3D target detection for indoor scenes

Y Liu, D Jiang, C Xu, Y Sun, G Jiang, B Tao, X Tong… - Applied …, 2023 - Springer
Abstract 3D target detection is a research hotspot in recent years. In the field of autonomous
driving, 3D target detection is mainly targeted at outdoor scenes that the camera height is …

Improved multi-stream convolutional block attention module for sEMG-based gesture recognition

S Wang, L Huang, D Jiang, Y Sun, G Jiang… - … in Bioengineering and …, 2022 - frontiersin.org
As a key technology for the non-invasive human-machine interface that has received much
attention in the industry and academia, surface EMG (sEMG) signals display great potential …

Time optimal trajectory planing based on improved sparrow search algorithm

X Zhang, F Xiao, XL Tong, J Yun, Y Liu… - … in Bioengineering and …, 2022 - frontiersin.org
Complete trajectory planning includes path planning, inverse solution solving and trajectory
optimization. In this paper, a highly smooth and time-saving approach to trajectory planning …

Intelligent detection of steel defects based on improved split attention networks

Z Hao, Z Wang, D Bai, B Tao, X Tong… - … in Bioengineering and …, 2022 - frontiersin.org
The intelligent monitoring and diagnosis of steel defects plays an important role in improving
steel quality, production efficiency, and associated smart manufacturing. The application of …