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Improved Method for the Calculation of the Air Film Thickness of an Air Cushion Belt Conveyor.
Materials (Basel)
December 2024
School of Mechanical and Electrical Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China.
The air film thickness is an important parameter of an air cushion belt conveyor, which directly affects the compressed air supply power and operating resistance of the system. Therefore, it is important to calculate the bottom thickness of the gas film accurately in the design stage. A calculation method for the thickness of a conveyor air cushion was derived based on the mathematical model of the air cushion flow field for a multi row uniformly distributed air cushion structure.
View Article and Find Full Text PDFResearch on Dual-Phase Composite Forming Process and Platform Construction of Radial Gradient Long Bone Scaffold.
Bioengineering (Basel)
August 2024
Rapid Manufacturing Engineering Center, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.
The structure and composition of natural bone show gradient changes. Most bone scaffolds prepared by bone tissue engineering with single materials and structures present difficulties in meeting the needs of bone defect repair. Based on the structure and composition of natural long bones, this study proposed a new bone scaffold preparation technology, the dual-phase composite forming process.
View Article and Find Full Text PDFEnhancing Multi-Object Detection in Ultrasound Images Through Semi-Supervised Learning, Focal Loss and Relation of Frame.
Ultrasound Med Biol
December 2024
Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei, Taiwan. Electronic address:
Objective: To identify musculoskeletal anatomical structures in real time by using deep learning techniques.
Methods: An automated annotation system based on deep learning neural networks was designed to aid in the real-time identification of anatomical structures. Additionally, novel algorithms aimed at diminishing model training duration while enhancing accuracy were introduced.
A Hybrid Algorithm of LSTM and Factor Graph for Improving Combined GNSS/INS Positioning Accuracy during GNSS Interruptions.
Sensors (Basel)
August 2024
School of Automation, Beijing Information Science & Technology University, Beijing 100192, China.
In urban road environments, global navigation satellite system (GNSS) signals may be interrupted due to occlusion by buildings and obstacles, resulting in reduced accuracy and discontinuity of combined GNSS/inertial navigation system (INS) positioning. Improving the accuracy and robustness of combined GNSS/INS positioning systems for land vehicles in the presence of GNSS interruptions is a challenging task. The main objective of this paper is to develop a method for predicting GNSS information during GNSS outages based on a long short-term memory (LSTM) neural network to assist in factor graph-based combined GNSS/INS localization, which can provide a reliable combined localization solution during GNSS signal outages.
View Article and Find Full Text PDFResearch on Corn Leaf and Stalk Recognition and Ranging Technology Based on LiDAR and Camera Fusion.
Sensors (Basel)
August 2024
Mechanical Engineering Training Centre, College of Engineering, China Agricultural University, Beijing 100083, China.
Corn, as one of the three major grain crops in China, plays a crucial role in ensuring national food security through its yield and quality. With the advancement of agricultural intelligence, agricultural robot technology has gained significant attention. High-precision navigation is the basis for realizing various operations of agricultural robots in corn fields and is closely related to the quality of operations.
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