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Article
Progressive Collapse Resistance Analysis of Plate-member Composite Reticulated Shell Structure
In order to study the progressive collapse resistance of plate-member composite reticulated shell structure and propose an applicable analysis method, the complete and member removal experimental models of com...
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Article
Fault Diagnosis of Rolling Bearings Based on the Improved Symmetrized Dot Pattern Enhanced Convolutional Neural Networks
The main purpose of this paper is to change the structure of the SDP to include more fault information. Furthermore, improve the diagnostic accuracy and anti-noise performance of the bearing fault diagnosis me...
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Chapter and Conference Paper
Design Technology of Multi-AGV Warehouse Intelligent Scheduling Optimization Control System
Different from the traditional warehousing system, in the multi-AGV warehouse scheduling control system, the constraints of poor connectivity of the conveying track have led to the emergence of urgent problems...
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Article
Thermal-elastic field around an elliptical nano-inclusion with interface conduction and interface stress effects
We analyze the thermo-elastic behavior of an elliptical nano-inclusion incorporating interface conduction and interface stress effects when embedded in an infinite matrix under plane deformation. The effect of...
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Article
HiTL-based adaptive fuzzy tracking control of MASs: A distributed fixed-time strategy
Human-in-the-loop (HiTL) control is promising for the cooperative control problem of multi-agent systems (MASs) under the complicated environment. By considering the effect of human intelligence and decision m...
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Article
Modulation Recognition Based on Denoising Bidirectional Recurrent Neural Network
Modulation recognition is an important research area in wireless communication. It is commonly used in both military and civilian domains, such as spectrum detection and interference identification. Most exist...
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Article
Research and Optimization of Lateral Compressive Performance of the 3-D Printed Beetle Elytron Plate
In this paper, two types of beetle elytron plates (end-trabecular beetle elytron plate (EBEP) and middle-trabecular beetle elytron plate (MBEP)) and honeycomb plate (HP) were manufactured by 3-D printed and ap...
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Article
Experimental Study on Direct Shear Mechanical Behavior of Unsaturated Loess–Steel Interface Considering Freeze–Thaw Cycles
The strength characteristics and stress–strain relation of the interface between soil and structure are the key parameters to determine the bearing capacity and security of foundation engineering. Especially i...
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Article
Illumination modelling for reconstructing the machined surface topography
Illumination estimation is crucial for surface detection methods based on visual image reconstruction. The luminance of the machined surface topography with desertification fractal structure is difficult to ac...
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Chapter and Conference Paper
Design and Experiment of Muck Removal Robot for Tunneling Boring Machine
Aiming at the problem of cleaning and transportation of muck at the bottom of the tunnel, a new muck cleaning, and transportation scheme is proposed, and the effectiveness of the scheme is verified. Firstly, a...
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Article
Open AccessMetabolic engineering of Escherichia coli BW25113 for the production of 5-Aminolevulinic Acid based on CRISPR/Cas9 mediated gene knockout and metabolic pathway modification
5-Aminolevulinic acid (ALA) recently received much attention due to its potential application in many fields. In this study, an ALA production strain of Escherichia coli was constructed by rational metabolic engi...
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Article
Open AccessTheoretical Model of Dynamic Bulk Modulus for Aerated Hydraulic Fluid
Existing models of bulk modulus for aerated hydraulic fluids primarily focus on the effects of pressure and air fraction, whereas the effect of temperature on bulk modulus is disregarded. Based on the lumped p...
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Article
DESNN Algorithm for Communication Network Intrusion Detection
Intrusion detection is a crucial technology in the communication network security field. In this paper, a dynamic evolutionary sparse neural network (DESNN) is proposed for intrusion detection, named as DESNN ...
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Article
Event-triggered optimal containment control for multi-agent systems subject to state constraints via reinforcement learning
The paper addresses an event-triggered \(H_{\infty }\) H ∞ ...
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Article
A robust polyacrylic acid/chitosan cryogel for rapid hemostasis
Currently, it is a challenge to develop hemostatic materials with high water absorption capacity and anti-fatigue properties for quickly preventing massive hemorrhage from arteries and visceral organs. A serie...
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Chapter and Conference Paper
A Flight Simulation Model Architecture for Reinforcement Learning
For the reinforcement learning of agents in virtual environment, a flight simulation model architecture is designed by combining the integration method, flight algorithm, external force calculation, earth mode...
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Article
Open AccessA Universal Atomic Substitution Conversion Strategy Towards Synthesis of Large-Size Ultrathin Nonlayered Two-Dimensional Materials
A general layered 2D materials-derived atomic substitution conversion strategy is proposed to achieve the synthesis of large-size ultrathin nonlayered 2D m...
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Article
Formation and characteristics of soot from pyrolysis of ethylene blended with furan fuels
As two renewable oxygenated biofuels, 2,5-dimethylfuran and 2-methylfuran (DMF and MF) have been considered to be two of the most potential fuels in the future due to the development of the second-generation b...
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Chapter and Conference Paper
Radio Frequency Identification (RFID) Data Transmission Security
With the rapid development of Internet of Things technology, the RFID products can be found at every corner of our lives and work. On one hand, they bring us efficiency and convenience. On the other hand, they...
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Chapter and Conference Paper
Comparative Analysis of Rain Attenuation Prediction Models for Terrestrial Links in Different Climates
In view of the difference of rain attenuation law between tropical climate and temperate climate, two rain attenuation prediction models based on inverse Gaussian distribution and Gamma distribution are propos...