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2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Ma, Yuanyuan Chen, Han Xu, Zhan Zhi, Ruxin Ma, Chunshuai Zheng, Yiyang Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Ministry of Information Industry Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing China No.723 Research Institute China State Shipbuilding Corporation Yangzhou China Beijing Information Science and Technology University Beijing China Beijing Institute of Technology Beijing China

ISBN: (纸本)9798331515669

This study examines the secrecy outage performance of uplink transmission within a hybrid cooperative satellite-aerial-terrestrial network (SATN) that integrates radio-frequency (RF) and free-space optical (FSO) technologies. Specifically, in the proposed cooperative SATN, a terrestrial source (S) conveys its information to a satellite receiver (D) with the assistance of an aerial relay (R), while a group of eavesdropping aerial terminals (Eves) attempts to intercept the confidential data. RF and FSO transmission methods are employed over the S-R and R-D links, respectively, both subject to imperfect channel state information (CSI). By considering the randomness of R, D, and Eves, and utilizing a stochastic geometry framework, we investigate the secrecy outage performance of the considered SATN. A closed-form analytical expression for the end-to-end secrecy outage probability is derived. Finally, simulations are conducted to validate the accuracy of the analysis. © 2024 IEEE.

关键词： Stochastic systems

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Novel Antenna Technologies for Integrated Sensing and Communication in 6G

Novel Antenna Technologies for Integrated Sensing and Commun...

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Information Systems and Computing technology (ISCTech), International Conference on

作者： Zihao Xin Shuo Chen Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (数字)9798350379860

ISBN: (纸本)9798350379877

With the development of 6G communication, integrated sensing and communication (ISAC) enables resource sharing, system performance enhancement, and device collaboration by deeply integrating the core technologies of communication and sensing. This paper first introduces the basic concept of ISAC, emphasizing its advantages in real-time data transmission, especially in intelligent applications within complex environments. Secondly, it categorizes antennas into fixed and movable types and thoroughly discusses the critical role of novel antenna technologies in ISAC. Fixed antennas include massive multiple input multiple output (MIMO), cell-free massive MIMO (mMIMO), and reconfigurable intelligent surfaces (RIS), while movable antennas include mobile platform antennas and fluid antennas. These novel antenna technologies not only enhance signal transmission capabilities but also improve system reliability and anti-interference capabilities. Finally, we analyze the challenges of novel antenna technologies in practical applications, including hardware complexity and resource management issues, and outline their future development directions, providing valuable insights for the integrated sensing and communication of the 6G era.

关键词： 6G mobile communication System performance Transmitting antennas Massive MIMO Mobile antennas Reconfigurable intelligent surfaces Integrated sensing and communication Real-time systems Resource management Reliability

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Analysis and Simulation of Interference Effects on CSK Modulation Systems 15

Analysis and Simulation of Interference Effects on CSK Modul...

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15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022

作者： Guan, Lele Xu, Zhan Tian, Lu Shi, Chenrui School of Information and Communication Engineering Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing China

ISBN: (数字)9781665488877

ISBN: (纸本)9781665488877

As the space environment of information transmission becomes more and more complex, the accuracy of communication becomes a new challenge. In order to study the anti-jamming performance of code shift keying (CSK), this paper mainly simulates the performance of CSK and binary phase shift keying (BPSK) under 5 signal interferences, and discusses it according to the bit error rates (BER) obtained by simulation. In the face of different forms of signal interference, CSK has better anti-jamming performance than BPSK. Under various forms of signal interference, CSK has the strongest anti-interference ability to multi-tone interference, and its anti-interference ability to pulse interference, 50% narrowband interference, single-tone interference and channel noise decreases successively. © 2022 IEEE.

关键词： Binary phase shift keying

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Green anti-solvent modulation of the growth of binary FAXMA1-X tin-based perovskite and their photovoltaic properties

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The European Physical Journal B 2025年第1期98卷 1-11页

作者： Deng, Longtao He, Linfeng Chen, Xinyao Cheng, Jin Zhang, Chunqian Li, Zhenjun Li, Junming Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Beijing Key Laboratory for Sensor School of Science Beijing Information Science and Technology University Beijing China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing China CAS Key Laboratory of Standardization and Measurement for Nanotechnology CAS Key Laboratory of Nanophotonic Materials and Devices (Preparatory) National Center for Nanoscience and Technology Beijing China

Tin-based perovskite represents a highly promising alternative to lead-based perovskite, offering a number of significant advantages. These include non-toxicity, high absorbance, and excellent photovoltaic properties. The use of the toxic anti-solvent chlorobenzene (CBZ) in the preparation of tin-based perovskite thin films has the dual disadvantage of increasing the environmental hazards and the cost of subsequent treatment. The use of acetic acid (HAc) as a green anti-solvent has been demonstrated to effectively regulate the crystallization process of tin-based perovskite FASnI3, resulting in the preparation of perovskite films of superior quality. To further enhance the performance of tin-based perovskite, Zhao et al., organic cation mixing was used to add MAI to the FASnI3 system and optimize the ratio, resulting in an optimal ratio of FA (0.75) MA (0.25) (FA = NH2CH = NH2+, MA = CH3NH3+) (Zhao et al. Adv Sci 4(11):1700204, 2024). In this study, we choose the crystallization process during the preparation of binary FA0.75MA0.25SnI3 perovskite using a green anti-solvent HAc. The findings demonstrated that HAc was capable of influencing the crystallization of binary tin-based perovskite, facilitating the formation of perovskite films with minimal pinholes and enhanced uniformity and crystallinity. Additionally, the resulting perovskite exhibits a band gap of 1.35 eV, which is in close alignment with the predicted ideal band gap as postulated by Schottky's theory. Furthermore, it displays enhanced hydrophobic properties. In the binary perovskite photovoltaic device prepared using the anti-solvent HAc, the maximum device efficiency reached 3.62%. The findings of this study will contribute to the understanding of the crystallization process of diverse perovskite materials in the presence of a green anti-solvent.

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Data Security Risk Assessment Method of Intelligent and Connected Vehicles Based on Data Security Classification and Grading 8

Data Security Risk Assessment Method of Intelligent and Conn...

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8th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2023

作者： Wang, Liyong Jin, Long Ji, Haojie Wang, Jingyan Chen, Yupeng Fang, Junzhe State Key Laboratory of Intelligent Vehicle Safety Technology Chongqing China Ministry of Education Beijing Information Science & Technology University Key Laboratory of Modern Measurement & Control Technology Beijing China State Key Laboratory of Intelligent Vehicle Safety Chongqing China China Automotive Engineering Research Institute Co. Ltd Chongqing China

ISBN: (纸本)9798350314212

The rapid development of intelligent and connected vehicle (ICV) has brought increasing communication data and valuable data assets. However, the diversity and complexity of ICV data make it hard to carry out data security risk assessment. Aiming at the problem, this paper proposes an effective analytical method for the data security risk assessment method of ICVs. Considering the typical scenario for the generated data of ICVs, a data security classification and grading framework is constructed from the aspects of in-vehicle data, personal data, and external environment data. The data security risk assessment model is built for ICVs and includes functional modules such as asset identification, threat identification, impact assessment, vulnerability identification, and risk assessment. This work provides methods and security management and control strategy support for ICV data security risk assessment. © 2023 IEEE.

关键词： data classification and grading data security Intelligent and connected vehicles risk assessment

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A Review of Spiking Neural Network Research in the Field of Bearing Fault Diagnosis 1

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Wang, Yusen Wang, Hongjun Xie, Long Ge, Henglin Zhou, Mingyang Chen, Tao Shi, Yuxing School of Mechanical and Electrical Engineering Beijing Information Science & Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education BISTU Beijing100192 China Beijing International Science Cooperation Base of High-End Equipment Intelligent Perception and Control BISTU Beijing100192 China

ISBN: (数字)9783031694837

ISBN: (纸本)9783031694820

In view of the bearing fault diagnosis problem, in order to better deal with the temporal data, extract nonlinear features, enhance the model robustness and adaptability, and realize efficient distributed computing, the spiking neural network is introduced to improve the accuracy and efficiency in the process of bearing fault diagnosis. In recent years, after a series of studies, the spiking neural network has developed in supervised learning, unsupervised learning, semi-supervised learning, and some other derived methods, such as reinforcement learning and transfer learning, for its applicable scenarios with different advantages. From the perspective of learning principle, method advantages and practical applications, we introduced several spiking neural network for bearing fault diagnosis, discussed the advantages, disadvantages and applicable scenarios of each learning method, discussed the application prospect of spiking neural network for bearing fault diagnosis, and proposed the spiking neural network for bearing fault diagnosis in future research, so as to provide reference for subsequent research. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Self-supervised learning

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Identification of Operational Conditions of Tracked Armored Vehicles Steering Pump Motors Based on Pd-Ticc Time Series Clustering

SSRN

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SSRN 2024年

作者： Jia, Ran Sun, Yingxuan Wang, Liyong Chen, Tao Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

In this paper, we introduce a novel approach, termed the Toeplitz Inverse Covariance-based Clustering based on Proportional Principal Deviation Sum of Squares Error and Dynamic Time Warping (PD-TICC), for clustering analysis of steering pump motors under different operational conditions of tracked armored vehicles. Leveraging sensor data treated as time series, the model utilizes the Toeplitz Inverse Covariance-based Clustering (TICC) algorithm to process and analyze the data. By segmenting and clustering the time series data, the model condenses the information into subseries that represent distinct operational states. Furthermore, it optimizes parameters using a fusion metric known as Proportional Principal Deviation Sum of Squares Error and Dynamic Time Warping (PPD-DTW). Experimental results demonstrate the efficacy of the PD-TICC model in accurately clustering the different operational conditions of steering pump motors of tracked armored vehicles under diverse conditions. © 2024, The Authors. All rights reserved.

关键词： Time series

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Tightly Coupled Visual-Inertial Navigation System Based on Observation Residual Fault Detection

SSRN

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SSRN 2024年

作者： Su, Qinghua Jiang, Haiyan Song, Yue Wang, Shentong Wang, Hongxuan Zhang, Pengbo Xie, Min Wang, Liyong Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

Visual inertial navigation system (VINS) has the advantages of independent on external facilities, small size, and high precision positioning in complex environment, and is widely used in robot, UAV, unmanned vehicle and other fields. The Fault Detection (FD) method, which shows its importance on improving the positioning performance and robustness of navigation system by detecting and filtering abnormal sensor data, has attracted the attention of many researchers in worldwide. However, the conventional optimization methods for VINS have limited effects on improving accuracy and reliability. Therefore, a tightly coupled VINS based on Observation Residual Fault Detection method (VINS-ORFD) is proposed for solving the issue. This method constructs residual test statistics, uses Residual Chi-Square Test (RCST) to observe visual and IMU residuals, and adjusts the weighting factors to reduce the influences of the abnormal sensor data. The experimental results indicates the VINS-ORFD method not only improves the positioning accuracy than VINS-mono in simulation test with the EuRoC dataset, but also wins in the experiment with manual sensor faults and vehicle field test. In three experiments, the RMSEs of VINS-ORFD decrease 16.34%, 27.95%, and 30.87% on average respectively than VINS-mono. Overall, the VINS-ORFD method demonstrates the good effectiveness and applicability in reducing the impact of sensor anomaly data and improving the positioning accuracy by detecting camera and IMU faults. © 2024, The Authors. All rights reserved.

关键词： Fault detection

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Research on Dynamic Rule Mining Method for Incremental Small Sample Experimental Data 13

Research on Dynamic Rule Mining Method for Incremental Small...

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13th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2023

作者： Bai, Weiguang Sun, Jie Yang, Yun Beijing Aerospace Measurement&Control Technology Co. Ltd Beijing Key Laboratory of High-speed Transport Intelligent Diagnostic and Health Management Beijing China Shaanxi Qinchuan Intelligent Machine Tool Research Institute Co. Ltd Shaanxi Xi'an China

ISBN: (纸本)9798350331714

In terms of fault diagnosis and prediction, new equipment mainly has the characteristics of small data samples and increasing sample size. In the rulemaking process, there are problems such as incomplete data, insufficient rules support, low accuracy data and information completeness, the current method is difficult to automatically correct forward rules based on continuously accumulated data. There is a lack of basic models and algorithms for rule correction, This method establishes an initial rule library after modeling system faults based on knowledge and data fusion. When a system fault occurs, it will exhibit various abnormal phenomena, and the collection of different types of abnormal phenomena (i.e. fault phenomena) corresponds to typical faults. © 2023 IEEE.

关键词： Data fusion

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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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