![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
3,004 Result(s)
-
Chapter and Conference Paper
Research on Key Technologies of Digital Twin in Space TT&C
Using digital twins in space TT&C field, the digital transformation of space TT&C system is promoted, the efficiency of space TT&C is improved, and the intelligent development of space TT&C system is accelerat...
-
Chapter and Conference Paper
SDN-Based Efficient Consortium Blockchain Network Architecture for Grid Information Authentication
Aiming at the problem of communication redundancy and delay for grid information authentication in the existing consortium blockchain network, a new architecture for optimizing the broadcast path by controllin...
-
Chapter and Conference Paper
An Anti-disturbance Target Detection and Tracking Algorithm in Unstructured Environment
In order to solve the problem of target loss in target detection and tracking in the case of sharp turns or sudden changes in vehicle posture in unstructured environments, this paper proposes an anti-disturban...
-
Chapter and Conference Paper
Design of Satellite Constellation Based on Bamboo Resources Carbon Sink Monitoring
Bamboo has the advantages of short growth cycle and fast maturity, it spends only 3–5 years to become forests. From the perspective of carbon sequestration processing, bamboo products can be completely degrade...
-
Chapter and Conference Paper
IMAP-GCG: Edge Container Resource Scheduling and Configuration Method Based on Improved MAPPO and GCN-GRU
Container technology has been widely used in industrial development, including system deployment and program management, and has achieved very good results. However, in the current edge network environment, th...
-
Chapter and Conference Paper
BDS Space Signal Monitoring System Architecture and Performance Assessment
Beidou space signal quality monitoring and assessment is one of the important means to ensure the normal operation of satellite navigation system. It not only provides space satellite status information suppor...
-
Chapter and Conference Paper
Research on Deep Clustering Based on Image Data
Clustering is an important branch of unsupervised tasks, aiming at mining deeper relationships and patterns in data. The quality of feature representation based on image datasets often determines the upper lim...
-
Chapter and Conference Paper
Key Technology and Software Design of Failure Warning System of Floated Gyro Based on Mechanism
This paper provides a detailed introduction to the key technology and software design of Failure warning system of floated gyro based on mechanism; The software is developed based on SpringCloud Microservice a...
-
Chapter and Conference Paper
Device Performance Anomaly Detection Method Based on Graph Convolutional Neural Network
In this article, we discuss the key task of equipment anomaly detection, which is a major challenge in modern industrial and technological fields. We propose a new deep learning framework, which is based on Lo...
-
Chapter and Conference Paper
Network Fault Lightweight Prediction Algorithm Based on Continuous Knowledge Distillation
Network fault prediction is one of the important means to ensure network security and stable operation. Efficient fault prediction can improve the ability of operation and maintenance personnel to deal with fa...
-
Chapter and Conference Paper
Applying Virtual Reality to Teaching the Law of Conservation of Energy in Physics
This paper explores the use of virtual reality in develo** educational materials for the conservation of energy law in the field of natural sciences, specifically focusing on gravitational potential energy a...
-
Chapter and Conference Paper
The Equity Fund Risk Predictions Via Quantum-Classical Hybrid Neural Networks
Among the recent studies on the use of machine learning methods to study fund stocks, there are few studies on the use of quantum-classical hybrid models. In this paper, we investigate the application of a qua...
-
Chapter and Conference Paper
GFTLSTM: Dynamic Graph Neural Network Model Based on Graph Framelets Transform
There is currently a surge of interest in graph representation learning, with researchers increasingly focusing on methods and applications involving graph neural networks (GNNs). However, traditional GNN mode...
-
Chapter and Conference Paper
Edge-Oriented Resource Scheduling Algorithm Based on Deep Reinforcement Learning
In the past few decades, the rapid development of information technology and the continuous innovation of computing paradigm have ushered people into a new era of edge computing. Compared to traditional cloud ...
-
Chapter and Conference Paper
Distance-Constrained Multi-agent Formation Sliding Mode Control Under External Disturbances
In response to the tracking control problem for multi-agent formation under external disturbances, this paper proposes a distributed flocking control method to improve the autonomy of each agent and the fault ...
-
Chapter and Conference Paper
A Maximum Speed Planning and Control Method of Intelligent Vehicle
In order to enhance the safety performance of intelligent vehicles and better exploit their maximum performance, this study investigates trajectory planning and motion control of vehicles under extreme conditi...
-
Chapter and Conference Paper
Few-Shot Online Learning for 3D Object Detection in Autonomous Driving
For autonomous driving, the performance of 3D object detection is limited by offline training, and these methods usually lack the adaption ability for long-term autonomy, which leads to significant performance...
-
Chapter and Conference Paper
Unified Collection System with High-Performance for Multi-source Heterogeneous Energy Efficiency Data
In the face of the national “double carbon” strategic goal, major operators, major equipment manufacturers and professional vendors have developed various energy saving algorithm models and application service...
-
Chapter and Conference Paper
Directional Object Tracking Based on UAV Vision
Aiming at the problems of poor anti-interference ability and low tracking accuracy caused by excessive background information in the object bounding box of unmanned aerial vehicle(UAV) object tracking, this pa...
-
Chapter and Conference Paper
Fault Diagnosis Method Based on Distributed Online Collaborative Distillation
Distributed networks and systems are becoming more and more widespread and practical in applications. The distributed network has a large scale and a large number of edge terminals, which generate massive data...