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    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...

    Zhaoqiang Yang, Zhenglei Yang, Denggao Ren in Signal and Information Processing, Network… (2024)

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    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...

    Tian Liu, Shuang Yang, Yu Yang, Kelin Yang in Proceedings of the 13th International Conf… (2024)

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    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...

    Zhaodong Li, Tingting Yang, **jun Zhao in Proceedings of 3rd 2023 International Conf… (2024)

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    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...

    Yufei Huang, Zheng Lv, Yilan Mao in Signal and Information Processing, Network… (2024)

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    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...

    **ngle Gong, Yang Yang, Yating Sun in Proceedings of the 13th International Conf… (2024)

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    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...

    Jianlei Yang, Shuo Li, Zechao Yang in Proceedings of the 2nd International Confe… (2024)

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    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...

    Xuanyu Li, Houqun Yang, **aoying Zhang in Proceedings of the 13th International Conf… (2024)

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    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...

    Yang Yang, Junliang Cai, Ye Ji, Minxing Zhou in Signal and Information Processing, Network… (2024)

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    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...

    Aolun Liu, Yang Yang, Yanpeng Guo in Proceedings of the 13th International Conf… (2024)

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    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...

    Wei Huang, Jie Huang, Chengwen Fan in Proceedings of the 13th International Conf… (2024)

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    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...

    Tung-Hua Yang, Yi-Ru Yang, Ching-Chi Huang in Frontier Computing on Industrial Applicati… (2024)

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    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...

    Peng Wang, Qinsheng Zhu, Hao Wu, **aoyu Li in Proceedings of the 13th International Conf… (2024)

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    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...

    Shengpeng Yang, Siwei Zhou, Shasha Yang in Intelligent Technologies for Interactive E… (2024)

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    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 ...

    Longjun Zhao, Dandan Cui, Haipo Li in Proceedings of the 13th International Conf… (2024)

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    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 ...

    Chuan Liu, Jijie Yang, Yang Gao in Proceedings of 3rd 2023 International Conf… (2024)

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    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...

    Ang Chu, Kai Yu, Shuaicong Yang, Jiaqi Chen in Proceedings of 3rd 2023 International Conf… (2024)

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    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...

    Dexin Yao, Binhong Liu, Rui Yang, Zhi Yan in Proceedings of 3rd 2023 International Conf… (2024)

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    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...

    Jimin Ling, Yilin Tan, Shenglong Li in Signal and Information Processing, Network… (2024)

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    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...

    Mengbo Yang, Chunhui Zhao, Yang Lyu in Proceedings of 3rd 2023 International Conf… (2024)

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    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...

    Yuhan Long, Yang Yang, Chengwen Fan in Proceedings of the 13th International Conf… (2024)

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