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Data secure transmission intelligent prediction algorithm for mobile industrial IoT networks

Digital Communications and Networks 2023年第2期9卷 400-410页

作者： Lingwei Xu Hao Yin Hong Jia Wenzhong Lin Xinpeng Zhou Yong Fu Xu Yu Department of Information Science and Technology Qingdao University of Science and TechnologyQingdao266061China Fujian Key Laboratory of Sensing and Computing for Smart Cities Xiamen UniversityXiamen361005China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control(Minjiang University) Fuzhou350121China Faculty of Information Science and Engineering Ocean University of ChinaQingdao266100China Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center(National Supercomputer Center in Jinan)JinanChina

Mobile Industrial Internet of Things(IIoT)applications have achieved the explosive growth in recent *** mobile IIoT has flourished and become the backbone of the industry,laying a solid foundation for the interconnection of all *** variety of application scenarios has brought serious challenges to mobile IIoT networks,which face complex and changeable communication *** data secure transmission is critical for mobile IIoT *** paper investigates the data secure transmission performance prediction of mobile IIoT *** cut down computational complexity,we propose a data secure transmission scheme employing Transmit Antenna Selection(TAS).The novel secrecy performance expressions are first ***,to realize real-time secrecy analysis,we design an improved Convolutional Neural Network(CNN)model,and propose an intelligent data secure transmission performance prediction *** mobile signals,the important features may be removed by the pooling *** will lead to negative effects on the secrecy performance prediction.A novel nine-layer improved CNN model is *** of the input and output layers,it removes the pooling layer and contains six convolution ***,Back-Propagation(BP)and LeNet methods are employed to compare with the proposed *** simulation analysis,good prediction accuracy is achieved by the CNN *** prediction accuracy obtains a 59%increase.

关键词： Mobile IIoT networks Data secure transmission Performance analysis intelligent prediction Improved CNN

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Modeling and Experimental Study of an Open Two-Phase Loop Driven by Osmotic Pressure and Capillary Force

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Frontiers in Heat and Mass Transfer 2025年第1期23卷 55-70页

作者： Hanli Bi Zheng Peng Chenpeng Liu Zhichao Jia Guoguang Li Yuandong Guo Hongxing Zhang Jianyin Miao National Key Laboratory of SpacecraftThermal Control Beijing Institute of Spacecraft System EngineeringChina Academy of Space TechnologyBeijing100094China School of Aeronautical Science and Engineering Beihang UniversityBeijing100083China School of Energy and Environment Engineering University of Science and Technology BeijingBeijing100083China

As space technology advances,thermal control systems must effectively collect and dissipate heat from distributed,multi-source *** heat pipe is a highly reliable two-phase heat transfer component,but it has several limitations when addressing multi-source heat *** by the transport and heat dissipation system of plants,large trees achieve stable and efficient liquid supply under the influence of two driving forces:capillary force during transpiration in the leaves(pull)and root pressure generated by osmotic pressure in the roots(push).The root pressure provides an effective liquid supply with a driving force exceeding 2 MPa,far greater than the driving force in conventional capillary-pumped two-phase *** has shown that osmotic heat pipes offer a powerful driving force,and combining osmotic pressure with capillary force has significant ***,this paper designs a multi-evaporator,dual-drive two-phase loop,using both osmotic pressure and capillary force to solve the multi-source heat dissipation ***,a transmembrane water flux model for the osmotic pressure-driven device was established to predict the maximum heat transfer capacity of the dual-drive two-phase ***,an experimental setup for a multi-evaporator“osmotic pressure+capillary force”dual-drive two-phase loop was constructed,capable of transferring at least 235 W of power under a reverse gravity condition of 20 *** study also analyzed the effects of reverse gravity height,heat load distribution among the three evaporators,startup sequence,and varying branch resistances on the performance of the dual-drive two-phase loop.

关键词： Multi-heat sources osmotic pressure two-phase loop dual-drive loop heat pipe

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Characterization and sources of childhood PAEs exposure from residential airborne dust in China cities

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Journal of Environmental sciences 2025年第6期152卷 1-13页

作者： Chao Wang Shuhan Gong Yun Cao Mengmeng Liu Wenying Zhang Xiaotong Zhang Lin Fan Li Li Hang Du Mats Tysklind Xu Yang Xianliang Wang China CDC Key Laboratory of Environment and Population Health National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijing 100021China National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijing 100021China School of Public Health Anhui Medical UniversityHefei 230032China Department of Chemistry Umea UniversityUmea SE-90187Sweden College of Life Science Huazhong Normal UniversityWuhan 430079China Xianning Medical College Hubei University of Science and TechnologyXianning 437100China

To explore the multicenter characteristics of endocrine-like phthalate esters(PAEs)in household dust and propose effective control strategies for global indoor public *** on-site observational investigation was conducted in nine Chinese cities from 2018 to 2019.A total of 246 household dust sampleswere collected and analyzed for ten PAE congeners using Gas Chromatography-Mass Spectrometry(GC-MS).Questionnaires were used to gather information on building conditions,indoor behaviors,and ventilation *** residential dust from the nine cities,the total concentrations of the ten PAE congeners(PAEs)ranged from 0.921 to 29097.297μg/*** phthalate(DCHP)and di(2-ethylhexyl)phthalate(DEHP)were the dominant congeners in*** exposure to PAEs through dust ingestion was four orders of magnitude higher than through inhalation,with a carcinogenic risk of 5.47×10^(−6) for DEHP exposure in household ***PAEs concentrations were associated with higher temperature,double glazing,wall paint usage,television and computer use,and indoor plant *** multicenter on-site investigation confirmed PAE pollution characteristics and uncovered the inacceptable risk of daily DEHP exposure in household dust under real living *** mitigation measures based on household-related information,residential characteristics,decoration materials,and lifestyle should be taken to build a healthy household environment.

关键词： Phthalate esters Household dust Source analysis Health risk Influencing factors

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Attitude Feedforward Compensation control for Multistage Satellite with Scanning Mechanism

Attitude Feedforward Compensation Control for Multistage Sat...

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2022 Chinese Automation Congress, CAC 2022

作者： Fan, Mao Tang, Liang Guan, Xin Guo, Zixi Hao, Renjian Zhang, Kebei Beijing Institute of Control Engineering Key Laboratory of Science and Technology on Space Intelligent Control Beijing China

ISBN: (纸本)9781665465335

In this paper, a multi-step prediction feed-forward compensation attitude control method based on the conservation of angular momentum is designed for multistage satellite with a two-dimensional scanning mechanism. Firstly, the dynamic model of multistage satellite with a scanning mechanism is established by the Newton-Euler method. Secondly, a multi-step prediction feedforward compensation method based on the conservation of angular momentum is proposed for the discrete multistage control system to solve the control period mismatching and the measurement delay. Finally, the numerical simulation shows that the control method proposed in this paper improves the attitude stability and pointing accuracy of multistage satellite by 3-4 times. © 2022 IEEE.

关键词： Attitude control

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Infrared target 3D reconstruction based on TRC-MVSNet

Infrared target 3D reconstruction based on TRC-MVSNet

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2023 International Conference on Mechatronic Engineering and Artificial Intelligence, MEAI 2023

作者： Gong, Hua Jin, Tan Tang, Shuwei Ma, Yuanjing College of Science Shenyang Ligong University Shenyang110159 China Liaoning Key Laboratory of Intelligent Optimization and Control for Ordnance Industry Shenyang110159 China National Key Laboratory of Electromagnetic Space Security Tianjin300308 China

ISBN: (纸本)9781510674608

A 3D reconstruction network, TRC-MVSNet, is proposed to address the issue of poor 3D reconstruction of infrared multi-view. It combines Transformer feature matching and RC-MVSNet. To enhance the quality of the infrared image, a moving average filter method is employed to mitigate noise by averaging signals in a sliding window. Additionally, the Transformer network is utilized to improve the matching quality of infrared multi-view information by matching the information of multiple infrared views in the feature matching stage. Experimental results demonstrate that the TRC-MVSNet 3D reconstruction model enhances accuracy by 0.03 and synthesis by 0.013 compared to the RC-MVSNet 3D reconstruction model on the DTU dataset. The TRC-MVSNet achieves high accuracy, efficiency, and minimal noise in the 3D reconstruction of infrared targets on the SYLU-IMD dataset, outperforming other methods. © 2024 SPIE.

关键词： Infrared imaging

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Predefined-Time Distributed Fault-Tolerant control for Nonlinear Multiagent Systems Suffering From Nonaffine Faults

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3300-3311页

作者： Cheng, Shuai Xin, Bin Chen, Jie Deng, Fang Qingdao University School of Automation Qingdao266071 China Beijing Institute of Technology School of Automation Beijing100081 China Beijing Institute of Technology National Key Laboratory of Autonomous Intelligent Unmanned Systems Beijing100081 China Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Department of Control Science and Engineering Shanghai200092 China

This article investigates the distributed predefined-time (PT) fault-tolerant control for nonlinear multiagent systems (NNMSs) with nonaffine faults. A novel distributed PT control scheme is proposed based on a new PT theorem. The switching functions are introduced into distributed control signals to avoid the singularity problem. The second-order filter technology is designed to solve "explosion of complexity" issues. The newly designed PT compensation signals are utilized to eliminate filter errors. The proposed distributed PT controller based on local information can guarantee that all signals of the closed-loop system are PT bounded, and consensus errors of NNMSs can be enforced to a small region around the origin within a predefined time. Compared with the finite/fixed time, the predefined time is an exact value given in advance, which remains constant regardless of initial states and control parameters. Finally, two comparative simulations are provided to demonstrate the presented strategy. © 2013 IEEE.

关键词： Adaptive control systems

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The Progress and intelligent control/Decision Technical Discussion on Hypersonic Morphing Flight Vehicle

The Progress and Intelligent Control/Decision Technical Disc...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Zhang, Yuan Bai, Wenyan Huang, Wanwei Nie, Ying Huang, Xu Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China

ISBN: (纸本)9789811966125

For the hypersonic morphing flight vehicle (HMFV) dynamic strong uncertainty, time-varying, integration of control and decision problem, the engineering application requirements and difficulties are analyzed, and three feasibility schemes of control/decision are presented. Firstly, the significance, classification and development of morphing aircrafts are summarized;secondly, combining with the engineering needs, some detailed discussion on research challenges and key points are provided;thirdly, focusing on the HMFV control and decision problem, three general schemes for the HFMV control and decision issues are presented, including the intelligent anti-disturbance rejection control schemes, the high-precision control with RBF neural network scheme, and the intelligent control/decision integration scheme;finally, the paper is summarized and the further research directions are discussed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reinforcement learning

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Shallow Sleep control Management for Low-Power Rockets 9

Shallow Sleep Control Management for Low-Power Rockets

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9th International Conference on Advances in Machinery, Materials science and Engineering Applications, MMSE 2023

作者： Zhang, Ying Sun, Kai Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China

ISBN: (纸本)9781643684383

In this paper, a control method for shallow sleep management of low-power rockets is studied, and three sleep modes are verified for shallow sleep, and the optimal adaptation of shallow sleep of rockets with minimum power consumption of 16 watts is confirmed In different application environments, multi-mode operation with low power consumption is realized, so as to achieve the goal of long life under the requirements of long-term power up. The low-power mode can make the system run more stably, help reduce system losses, effectively reduce the volume and weight of power supply equipment, and improve the carrying capacity of the rocket. In order to achieve the purpose of low power consumption, based on the principle of 'high and low matching', the performance matching of chips of different performance levels at their optimal working points is analyzed, and the low-power chip architecture design under different computing power requirements is realized, and experimental verification is carried out. © 2023 The Authors.

关键词： Electric power supplies to apparatus

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Large flexible structure vibration measurement based on machine vision

Large flexible structure vibration measurement based on mach...

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第43届中国控制会议

作者： Yuanyuan Zhu Haibo Zhang Zhijie Ning Yanning Guo Lingxi Zheng Harbin Institute of Technology National Key Laboratory of Space Intelligent Control

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

A multi-target synchronous measurement method is proposed for the vibration measurement problem of large flexible structures. Select the appropriate system hardware according to the actual measurement requirements, and the binocular camera is used to acquire the image sequence of multiple points during the vibration process. An innovative method is proposed that combines feature point matching and Maximum Intersection over Union is proposed to achieve one-to-one mapping between multiple points. The vibration information of the flexible structure is obtained by image processing and three-dimensional coordinate calculation. Compared with the results obtained by the Optitrack motion capture *** vibration with a frequency of 3Hz, the relative errors of most measurements are within 5%, which meets the requirements of most vibration measurements.

关键词： Machine vision Flexible structure Multi-points matching Digital image processing SIFT IoU

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Reinforcement Learning control for Hypersonic Morphing Flight Vehicle with Identification of Dynamic Parameter

Reinforcement Learning Control for Hypersonic Morphing Fligh...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Nie, Ying Zhang, Yuan Bai, Wenyan Cao, Yuteng Yu, Chunmei Beijing Aerospace Automatic Control Institute Beijing100854 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing100854 China

ISBN: (纸本)9789811966125

A reinforcement learning (RL) controller with identification of the dynamic parameter of hypersonic morphing flight vehicle (HMFV) is proposed in this paper, successfully realizing the end-to-end control of attack angle in the longitudinal plane. The following improvements are made in this paper: Firstly, the dynamic parameter (rudder efficiency coefficient) of the flight vehicle is added into the state vector, so that the RL controller can understand the control ability of the rudder and generates the optimal control commands in the current state. Secondly, five instead of only one consecutive attack angle deviations are used to jointly generate the state vector, which enables the RL controller to use the model state information of the previous period of time and improve the control stability. Three simulations are set up in this paper. The simulation results show that the RL controller proposed in this paper can achieve stable and high precision attack angle control under large-scale environmental deviations and has strong generalization under different guidance commands. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reinforcement learning

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