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International Conference on Computers, communications, and Systems (ICCCS)

作者： Liming Wang Zhan Xu Ruxin Zhi Jiahui Wang School of Electronics and Communication Engineering Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

Large-scale satellite networks are a crucial component of future communication systems. However, they pose several challenges to satellite routing design and link recovery. This paper proposes an Adaptive Load Balancing routing algorithm for Low Earth Orbit (LEO) Satellite Cluster Networks (ALBSCN) to meet the needs of large-scale Low Earth Orbit LEO satellite networks. The constellation is divided into clusters, with each cluster maintaining the intra-cluster link state by electing a cluster head. The cluster head computes intra-cluster and inter-cluster routes. Messages are forwarded using inter-cluster multipath routing and intra-cluster routing techniques. We validated the algorithm's performance and compared it with other algorithms in terms of packet delivery delay using simulation. Simulation results indicate that the proposed clustering routing scheme effectively reduced packet loss and end-to-end delay, while also increasing network throughput.

关键词： Satellites Adaptive systems Simulation Clustering algorithms Low earth orbit satellites Packet loss Routing

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An Improved YOLOv5 Detection Algorithm with Pruning and OpenVINO Quantization

An Improved YOLOv5 Detection Algorithm with Pruning and Open...

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2023 China Automation Congress, CAC 2023

作者： Chen, Cheng Gan, Yahui Han, Zao Gao, Huan Li, Ang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education NanJing China Nanjing YingQi Intelligent Technology Co. Ltd. Intel Joint Research Institute on Intelligent Edge Computing NanJing China

ISBN: (纸本)9798350303759

In order to address the problem of current object detection models being too large to be deployed on robot controllers, this paper proposes improvements to YOLOv5 for real-time detection. The YOLOv5s model is pruned at the Batch Normalization (BN) layer, and further optimized using the OpenVINO tool for quantization. The results demonstrate that our improvements effectively improve the model's inference speed while maintaining its accuracy. Compared to the original YOLOv5 model, the pruned model achieves the same accuracy without degradation, with a 36.6% reduction in parameter count and a 35% reduction in weight storage file size. Furthermore, after optimization with OpenVINO, the final model achieves a FPS of 56. © 2023 IEEE.

关键词： Object detection

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Self-Supervised Multi-Transformation Learning for Time Series Anomaly Detection

SSRN

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SSRN 2023年

作者： Han, Han Han, Chuang Fan, Haoyi School of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technology Harbin150080 China School of Computer and Artificial Intelligence Zhengzhou University Zhengzhou450001 China

Time series anomaly detection aims to find specific patterns in time series that do not conform to general rules, which is one of the important research directions in machine learning. However, most existing time series anomaly detection methods solely consider the original observed state space. In this paper, we investigate the different views of the original signals by reconstructing them from the different transformations to learn better comprehensive representations of normal patterns. Specifically, we propose a time series anomaly detection model based on self-supervised multi-transformation learning while jointly learning the noise and filter transformation of the normal time series and capturing the anomaly simultaneously in both transformation patterns. Firstly, the model randomly adds noise to the original signal to construct the noisy signal, and the Kalman filter is applied to the original signal to construct the filtered signal. The noisy and filtered signals are subsequently used to reconstruct the original signal, and the randomly added noise is classified. Finally, the model captures the two transformation patterns of normal time series signals and transforms the anomaly detection problem into the reconstruction metric problem of time series signals under noise and filter transformations. The effectiveness of the proposed method is verified on the UCR time series dataset. © 2023, The Authors. All rights reserved.

关键词： Time series

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Analysis of FAST' Best Working Paraboloid 3

Analysis of FAST' Best Working Paraboloid

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2022 3rd International Conference on Electrical, Electronic Information and communication engineering, EEICE 2022

作者： Xiao, Haitao Wang, Hanyun Li, Wenzhi Yang, Shanshan Dalian Scientific Test & Control Technology Institute PO Box67 Dalian116013 China School of Communication Engineering Jilin University Changchun130022 China

FAST consists of an active reflector, a signal receiving system (feedback source cabin) and other devices, where the reflector is an adjustable sphere composed of a main cable net, reflective panel, actuator and other main parts. It obtains an ideal paraboloid for operation in line with the position of the heavenly bodies, and meanwhile, a reflective panel regulating model by fitting the paraboloid as much as possible based on this ideal paraboloid, and calculates the absorptance of the cable according to the reflection model of electromagnetic waves. © Published under licence by IOP Publishing Ltd.

关键词： Cables

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Frequency Agile Strategy Design of Radar Network for Wideband Sweep Jamming via Coalition Formation Game

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IEEE Transactions on Aerospace and Electronic Systems 2025年第3期61卷 7906-7919页

作者： Liao, Maosen Xiong, Kui Zhang, Long Yu, Xianxiang Cui, Guolong University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing100089 China School of Information and Communication Engineering Chengdu611731 China UESTC Shenzhen Institute for Advanced Study Chengdu611731 China

This article proposes an intelligent frequency agile design strategy for radar network using coalition game theory to counter wideband sweep jamming, which is formulated as a two-stage decision-making problem. In the first stage, the entire frequency agile range is divided into several non-overlapping agile subrange, and each radar selects a frequency agile subrange to join, which is solved by the coalition formation algorithm. Then, after achieving a stable coalition partition, a distributed multi-agent reinforcement learning algorithm is developed to address the specific carrier frequency selection problem within each coalition. By combining these two stages of the frequency agile design strategy, a joint coalition formation game and distributed Q-learning algorithm (CFDQ) is proposed. Finally, numerical simulations are conducted to illustrate the superiority of the proposed algorithm over several typical frequency agile strategies. © 1965-2011 IEEE.

关键词： Jamming

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A Baseline Modeling and Anomaly Detection Method for Inertial Navigation System Based on Integrated 1DCNN

A Baseline Modeling and Anomaly Detection Method for Inertia...

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International Conference on Electronic measurement and Instruments, ICEMI

作者： Wenjing Mo Chuanjin Han Yuan Wang Chengdu Aircraft Industrial (Group) Co. Ltd. Chengdu China School of Measurement-Control and Communication Engineering Harbin University of Science and Technology Harbin China School of Electronics and Information Engineering Harbin Institute of Technology Harbin China

Flight test is an essential step before aircraft delivery. Safe flight test can not only reduce the cost of aircraft research, but also has great significance for the study of aircraft performance. In order to ensure the safety of flight test, it is necessary to implement anomaly detection for aircraft systems. Inertial navigation system, as a complex system can provide accurate position, velocity, and attitude information for aircraft during flight test. It is very important to monitor the state of inertial navigation system for ensuring the safety of flight test. However, traditional single anomaly detection models perform poorly on different test data and have poor generalization capabilities. In order to improve the generalization ability of the anomaly detection model with inertial navigation data, this paper proposes a prediction-based anomaly detection method based on an integrated one-dimensional convolutional neural network (1DCNN). Firstly, multiple training sets are divided based on the bootstrap method, and then integrated 1DCNN prediction models are built for corresponding training sets. Finally, a static threshold judgment method based on the PauTa criterion is used to detect whether any abnormality occurs. This paper verifies the effectiveness of the proposed method through experiments with real inertial navigation data. The results show that compared with the traditional 1DCNN method, the proposed method significantly improves the performance of anomaly detection and has good generalization ability on different test conditions. The TPR of anomaly data detection reaches more than 97%, which proves that the method has effective anomaly data detection for inertial data.

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Deep-space exploration camera on-orbit white balance calibration based on correlated color temperature interpolation

Deep-space exploration camera on-orbit white balance calibra...

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2024 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2024

作者： Liu, Sainan Long, Hongfeng Ma, Yuebo Qiao, Li Liang, Zhen Cao, Zifei Zhao, Yihui Yi, Jinhui Zhu, Zijian Tang, Yuping Zhao, Rujin National Key Laboratory of Optical Field Manipulation Science and Technology CAS Chengdu610209 China Institute of Optics and Electronics CAS Chengdu610209 China Key Laboratory of Science and Technology on Space Optoelectronic Precision Measurement CAS Chengdu610209 China University of Chinese Academy of Sciences Beijing100149 China School of Electronics Electrical and Communication Engineering UCAS Beijing100149 China

ISBN: (纸本)9781510680425

There is a significant difference in correlated color temperature between deep-space environmental light sources and that on the ground. The lack of accurate calibration parameters for cameras can lead to errors in the collected scientific image data, resulting in the failure of scientific tasks. Thus it is of vital significance to accurate white balance calibration for deep-space-exploration cameras. However, traditional white-balance methods have certain limitations. The generalization ability of the white balance correction matrix is insufficient, the ground calibration methods have poor on-orbit adaptability, and deep space exploration targets are unknown and uncertain. To this end, we proposed an on-orbit white balance calibration method for deep-space-exploration cameras based on correlated correlated color temperature interpolation. Aiming to the deep space environment background, four pre-calibrated illuminations with different correlated color temperatures are selected reasonably. Before solving the white balance calibration matrix, we stretch the image grayscale in different exposure times to ensure the brightness balance and obtain the optimal white balance matrix, which improves the generalization ability of the matrix. Finally, by interpolating the pre-calibration white balance matrixes based on the on-orbit environmental correlated color temperature, the average color difference can be reduced by 28 (72.54%) DE2000 color difference units. © 2024 SPIE.

关键词： Space research

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NURBS Modeling and Curve Interpolation Optimization of 3D Graphics

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Computers, Materials & Continua 2021年第2期66卷 1799-1811页

作者： Hao Zhu Mulan Wang Kun Liu Weiye Xu School of Information and Communication Engineering Nanjing Institute of TechnologyNanjing211167China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing Institute of TechnologyNanjing211167China Department of informatics University of LeicesterLeicesterLE17RHUK

In order to solve the problem of complicated Non-Uniform Rational B-Splines(NURBS)modeling and improve the real-time performance of the high-order derivative of the curve interpolation process,the method of NURBS modeling based on the slicing and layering of triangular mesh is *** research and design of NURBS curve interpolation are carried out from the two aspects of software algorithm and hardware *** on the analysis of the characteristics of traditional computing methods with Taylor series expansion,the Adams formula and the Runge-Kutta formula are used in the NURBS curve interpolation process,and the process is then optimized according to the characteristics of NURBS *** can ensure accuracy,and avoid the calculation of higher-order ***,the hardware modules for the Adams and Runge-Kutta formulas are designed by using the parallel hardware construction technology of Field Programmable Gate Array(FPGA)*** parallel computing process using FPGA is compared with the traditional serial computing process using *** and experimental results show that this scheme can improve the computational speed of the system and that the algorithm is feasible.

关键词： NURBS modeling interpolation Adams Runge-Kutta FPGA

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Bayesian Framework for Multi-User Cooperative Radio SLAM 35

Bayesian Framework for Multi-User Cooperative Radio SLAM

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35th IEEE International Symposium on Personal, Indoor and Mobile Radio communications, PIMRC 2024

作者： Que, Hang Yang, Jie Du, Tao Xia, Shuqiang Wen, Chao-Kai Jin, Shi Southeast University National Mobile Communications Research Laboratory Nanjing211189 China Southeast University Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Zte Corporation Shenzhen518001 China State Key Laboratory of Mobile Network and Mobile Multimedia Technology Shenzhen518001 China Institute of Communications Engineering National Sun Yat-sen University Kaohsiung804 Taiwan

ISBN: (纸本)9798350362244

The advancement of millimeter-wave communication technology heralds new sensing capabilities. By leveraging channel multipath parameter estimates, we can harness simultaneous localization and mapping (SLAM) for precise user equipment (UE) localization and radio map construction in 6 G communication systems. Particularly in multi-UE scenarios, SLAM empowers base stations to amalgamate the local radio maps of various UEs efficiently. This study introduces a novel Bayesian framework specifically designed for multi-UE SLAM, complemented by a tailored factor graph. We also unveil a two-stage multi-UE SLAM algorithm. Our simulation results reveal that this algorithm substantially enhances radio map construction accuracy by 4 8. 5 % and UE localization accuracy by 13.5 %, outperforming single-UE cases. Moreover, the algorithm demonstrates remarkable adaptability to environmental changes, showcasing its potential for long-term evolution in dynamic settings. © 2024 IEEE.

关键词： Long Term Evolution (LTE)

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Interface Modification of TiO_(2)Electron Transport Layer with PbCl_(2)for Perovskiote Solar Cells with Carbon Electrode

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Tsinghua Science and technology 2022年第4期27卷 741-750页

作者： Abolfazl Amraeinia Yuhua Zuo Jun Zheng Zhi Liu Guangze Zhang Liping Luo Buwen Cheng Xiaoping Zou Chunbo Li Key Laboratory on Integrated Optoelectronics Institute of SemiconductorChinese Academy of SciencesBeijing 100083China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Beijing Advanced Innovation Center for Materials Genome Engineering Beijing Key Laboratory for SensorMOE Key Laboratory for Modern Measurement and Control TechnologyBeijing Information Science and Technology UniversityBeijing 100101China School of Science Minzu University of ChinaBeijing 100081China

Perovskite Solar Cells(PSCs)have attracted considerable attention because of their unique features and high ***,the stability of perovskite solar cells remains to be *** this study,we modified the TiO_(2)Electron Transport Layer(ETL)interface with PbCl_(2).The efficiency of the perovskite solar cells with carbon electrodes increased from 11.28%to 13.34%,and their stability obviously *** addition of PbCl_(2)had no effect on the morphology,crystal structure,and absorption property of the perovskite absorber ***,it affected the band energy level alignment of the solar cells and accelerated the electron extraction and transfer at the interface between the perovskite layer and the ETL,thus enhancing the overall photovoltaic *** interfacial modification of ETL with PbCl_(2)is a promising way for the potential commercialization of low-cost carbon electrode-based perovskite solar cells.

关键词： Perovskite Solar Cell(PSC) Electron Transport Layer(ETL) electron and hole recombination modification stability

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