31 Result(s)
within
Chapter
DongDong Wang
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Chapter and Conference Paper
Research Progress of MXenes Based Gas Sensors
MXenes not only have the same conductivity as metals, but also have good mechanical and hydrophilic properties. Therefore, MXenes have special appeal and competitiveness in fields such as energy storage conver...
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Chapter and Conference Paper
Application of Manganese Based Catalysts for VOCs Degradation: A Review
In this paper, catalytic combustion of volatile organic compounds (toluene, ethyl acetate and acetaldehyde) was reviewed over manganese based catalysts and over the catalytic combustion mechanism. At present, ...
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Chapter and Conference Paper
Analysis and Experimental Verification of Contact Characteristics Between Armature and Rail Based on Dual Parameter Changes
In the process of electromagnetic launching, in order to address the issue of varying degrees of sliding electrical contact erosion caused by different contact areas, when the armature mass is fixed, a dual pa...
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Chapter and Conference Paper
RSTS-YOLOv5: An Improved Object Detector for Drone-Captured Images
Despite the tremendous progress in object detection in recent years, object detection on drone-captured images is still a great challenge because of the large number of small objects that appear densely and ob...
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Chapter and Conference Paper
System Design of Sports Video Based on Improved SSA-LSSVM Model
The sports video analysis system is an important technical means that can help coaches and athletes better understand the competition situation and personal performance, thereby improving training effectivenes...
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Chapter and Conference Paper
Analysis of Multiple Field Coupling Conditions of Rail Gun Arc Suppressor
The arc suppressor can effectively eliminate the residual electric energy at the end of launch, and improve the ablation resistance of rail. Because of the arc suppressor mainly bears the action of electromag...
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Chapter and Conference Paper
3D Reconstruction Method of Metal Pipe Inner Wall Based on Multi-camera Sequential Image Acquisition
This paper presents a system and solution for image acquisition and 3D reconstruction of the inner wall of metal pipes. The difficulties of multi-camera illumination and image acquisition of the inner wall of ...
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Chapter and Conference Paper
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information
Estimating the average treatment effect (ATE) from observational data is challenging due to selection bias. Existing works mainly tackle this challenge in two ways. Some researchers propose constructing a scor...
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Chapter and Conference Paper
A 5G Network Slice Based Edge Access Approach with Communication Quality Assurance
With the development of various vertical industry services such as autonomous driving, energy Internet, and smart cities, mobile communication networks need to provide users with ubiquitous high-speed access w...
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Chapter and Conference Paper
A Secure and Trustable Access Method of Power Business in 5G Networks
The 5G power network has gradually adopted mobile terminal access to access the network to manage business. With the continuous expansion of access terminal scale, if the attacker impersonates the terminal or ...
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Chapter and Conference Paper
A Traffic Feature Analysis Approach for Converged Networks of LTE and Broadband Carrier Wireless Communications
With the emergence of new requirements for the application of network access network, network traffic presents new characteristics, and network management faces new challenges. The main contribution of this pa...
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Chapter and Conference Paper
Neural Network Based Adaptive Backstep** Control of Uncertain Flexible Joint Robot Systems
For flexible joint (FJ) robotic systems with uncertainties, a command filter based backstep** control is proposed in this paper. Through the control scheme, an adaptive controller is constructed to track des...
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Chapter and Conference Paper
Semi-supervised Semantic Segmentation of Multiple Lumbosacral Structures on CT
Labeled data is scarce in clinical practice, and labeling 3D medical data is time-consuming. The study aims to develop a deep learning network with a few labeled data and investigate its segmentation performan...
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Chapter and Conference Paper
A Collection Node Planning Algorithm of Power Wireless Private Network in Smart Grid
The power wireless private network is a wireless broadband access system that is deeply customized for the development of smart grid terminal communication access, and is integrated with the power dedicated 23...
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Chapter and Conference Paper
A Construction Method of Author Influence Map Based on Data Field Theory and Entropy Weight Method
In the face of a large number of academic paper and authors in various fields, building an intuitive and effective map about authors’ influence and relationship can help us quickly screen and search for influe...
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Chapter and Conference Paper
Network Traffic Model with Multi-fractal Discrete Wavelet Transform in Power Telecommunication Access Networks
With the development of communication networks, a lot of new applications emerge in the power telecommunication access networks, which have many new features and properties of the network traffic. These featur...
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Chapter and Conference Paper
Long-Term Tracking Algorithm with the Combination of Multi-feature Fusion and YOLO
In recent year correlation filtering based algorithms have achieved significant performance in tracking. In traditional, the previous frame has been trained in order to get the prediction position of the next ...
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Chapter and Conference Paper
Influences of CaO/SiO2/MgO/Al2O3 on the Formation Behavior of FeO-Bearing Primary-Slags in Blast Furnace
Slags play an important role in blast furnace operation, and their compositions are based on the CaO–SiO2–MgO–Al2O3 quaternary system. However, there is not a clear understanding of the effects of gangue on of th...
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Chapter and Conference Paper
Simulation Study of General Cargo Yard Layout
General cargo terminal operation system is a discrete event dynamic system with low operating efficiency. Aiming at solving the problem of low loading efficiency, this paper studied it from the perspective of ...
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Chapter and Conference Paper
An Optimization Method of SNNs for Shortest Path Problem
In this paper we propose a new optimization method of integrate-and-fire neural model for shortest path problem and compare it with Dijkstra algorithm. The proposed algorithm improves the speed of path plannin...
