1,053 Result(s)
within
Chapter
Jian**n Chen
-
Chapter
External Balances
Following a stocktaking of the evolution of external balances between the Global Financial Crisis (GFC) and the war in Ukraine in the Central and Eastern European economies (CEEE), highlighting the large impro...
-
Chapter and Conference Paper
Removal of EOG Artifact in Electroencephalography with EEMD-ICA: A Semi-simulation Study on Identification of Artifactual Components
Purpose: The electroencephalography (EEG) signals recorded in clinical settings are usually corrupted by electrooculography (EOG) artifacts. EEMD-ICA is a commonly used method for removing EOG artifacts. This stu...
-
Chapter and Conference Paper
Loosely-Coupled Camera-IMU-OGS Fusion Localization
In this paper, a hierarchical multi-sensor fusion approach is presented for localization in unmanned ground vehicle (UGV) applications where global navigation satellite system (GNSS) signals are not available....
-
Chapter and Conference Paper
Multi-UAV Collaborative Visual Localization with Improved Initialization and Co-view Keyframe Selection Strategy
Compared to a single unmanned aerial vehicle (UAV), multiple UAVs have significantly enhanced environmental awareness and improved fault tolerance in mission execution, where self-localization is a crucial cap...
-
Chapter
Pseudo Core Inverses
For any square complex matrix A with index 1, we know that the core inverse of A exists and it is equal to
-
Chapter and Conference Paper
Topology Optimization Design of Cartwheel Hinge Based on Response Surface Method
In this paper, a topology optimization design and post-processing method of a cartwheel flexure hinge is proposed. The model of topology optimization of cartwheel flexure hinge is established. And studied the ...
-
Chapter and Conference Paper
Reactive Power and Voltage Control Method of Regional Power Grid Considering Optimal Regulation Cost
In order to solve the problem that the voltage exceeds the limit and the reactive power flow fluctuates violently after the high proportion of new energy is connected, which leads to the problem that the actio...
-
Chapter and Conference Paper
Rolling Element Localized Fault Diagnosis Method for Train Bearings Based on Orthogonal Bi-axial Signals
This paper proposes a rolling element fault diagnosis method for train bearings based on orthogonal bi-axial vibration signals, which addresses the complex and difficult-to-diagnose rolling element fault signa...
-
Chapter and Conference Paper
A Knowledge Graph for Network Security
In order to enable decision-making for more in-depth analysis, the network security knowledge graph can perform semantic analysis and understanding of multi-source, heterogeneous, and fragmented huge datasets....
-
Chapter and Conference Paper
FFANet: Dual Attention-Based Flow Field Aware Network for 3D Grid Classification and Segmentation
Deep learning-based approaches for three-dimensional (3D) grid understanding and processing tasks have been extensively studied in recent years. Despite the great success in various scenarios, the existing app...
-
Chapter and Conference Paper
Effect of Low Frequency Electrical Aging on Conductive Current Characteristics of Cross-Linked Polyethylene Films
With the construction of offshore wind power projects, cross-linked polyethylene (XLPE) submarine cables are gradually applied to low frequency power transmission. However, the electrical aging characteristics...
-
Chapter and Conference Paper
MARS: An Instance-Aware, Modular and Realistic Simulator for Autonomous Driving
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it is widely recognized that realistic sensor simulation will play a critical role in solving remaining corner cases by simulating them. To t...
-
Chapter and Conference Paper
Prediction of Satellite Solar Radiation Pressure Parameters Based on Recurrent Neural Network
The BeiDou Navigation Satellite System (BDS) has been put into operation. With the system's continuous operation, the data accumulated by the BDS has a growing trend. At the same time, the service is diversifi...
-
Chapter and Conference Paper
Digital Analysis of Information on Cross-Bordere-Commerceplatform Guide Platforms Based on Artificial Intelligence Algorithms
At a time when big data is increasingly developed and constantly updated, cross-bordere-commerceplatform also needs to keep up with the trend of data. Facing the shortcomings of traditional e-commerce, providi...
-
Chapter and Conference Paper
MINEPAT: Mine Path and Tail Entity by Reinforce Learning and Graph Attention Mechanism
Although Knowledge Graph (KG) has a wide range of applications, most KGs suffer from incompleteness, which seriously hinders practical application. Knowledge Reasoning (KR) is one of the key methods to solve t...
-
Chapter and Conference Paper
Link Prediction Based on the Sub-graphs Learning with Fused Features
As one of the important research methods in the area of the knowledge graph completion, link prediction aims to capture the structural information or the attribute information of nodes in the network to predic...
-
Chapter and Conference Paper
A New Research on Campus Renewal Design Strategy from the Perspective of “Campus - City Symbiosis”
Under the background of the popularization of campus education and the socialization of campus logistics, the relationship between campus and city has become increasingly closer. Based on the concept of balanc...
-
Chapter and Conference Paper
MixU-Net: Hybrid CNN-MLP Networks for Urinary Collecting System Segmentation
Segmenting the urinary collecting system based on preoperative contrast-enhanced computed tomography urography volumes is necessary for assisting flexible ureterorenoscopy. The urinary collecting system consis...
-
Chapter and Conference Paper
Experimental Study on Denitration and Mercury Removal Performance by Sulfur-Tolerant ATP Catalyst
Low temperature denitration and mercury removal catalysts generally possess poor sulfur resistance. The Mn-ATP and Mn-Ce-ATP catalysts with different ratios were prepared by impregnation method based on attapu...
-
Chapter and Conference Paper
Self-supervised Cascade Training for Monocular Endoscopic Dense Depth Recovery
Dense depth prediction for 3-D reconstruction of monocular endoscopic images is an essential way to expand the surgical field and augment the perception of surgeons in robotic endoscopic surgery. However, it i...
