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Dynamic Camouflage Characteristics of a Thermal Infrared Film Inspired by Honeycomb Structure

Journal of Bionic engineering 2022年第2期19卷 458-470页

作者： Lujia Li Huanhuan Li Gang Kou Dafeng Yang Wei Hu Jinghui Peng Songjing Li Department of Fluid Control and Automation Harbin Institute of TechnologyHarbin 150001China Research Institute for National Defense Engineering of Academy of Military Science PLA China Luoyang 471023China

Thermal infrared camouflage technology has attracted increasing attention with the progress of infrared surveillance *** by honeycombs,a thermal infrared camouflage film with honeycomb sandwich structure based on fluid and temperature control is proposed to cloak objects and display false targets in the thermal infrared *** structure and manufacturing method of the film are introduced,and the fluid and temperature control system is established and tested to explore the thermal infrared characteristics of the film composed of different thermal *** camouflage performance of the film is intuitively displayed through the temperature frequency histograms of the infrared images photographed by an infrared *** temperature control accuracy of the thermal infrared camouflage system and the dynamic camouflage response of the film are evaluated by the temperature distribution map of each pixel in infrared images and the salient degree ***,the influential factors on the camouflage responding time are investigated,including the heating and cooling time of the liquid,the flow rate of pumps inside the driving module,and the energy loss along the liquid *** application of displaying false target is also introduced and *** results show that the camouflage film has a well camouflage effect and a wide adjustment temperature range,showing promise for a broad range of potential applications,such as counter-surveillance,thermal control and heat shielding.

关键词： Bioinspiration Film Thermal camoufage Honeycomb structure Temperature control

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Rice Variety Classification Based on Optimized Near-Infrared Spectral Classification Model

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Rice science 2024年第1期31卷 6-9,I0009-I0012页

作者： YANG Sen WANG Zhenmin ZHANG Houqing SONG Wenlong College of Computer and Control Engineering Northeast Forestry UniversityHarbin 150040China The 49th Research Institute of China Electronics Technology Group Corporation Harbin 150000China

Accurate classification of rice variety is essential to ensure the brand value of high-quality rice *** the impact of sample state on modeling optimization algorithms,rice samples after grinding and sealing were *** enhance the accuracy of rice variety classification,we introduced a spectral characteristic wavelength selection method based on adaptive sliding window permutation entropy(ASW-PE).

关键词： sealing Infrared grinding

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Foreground Segmentation Network with Enhanced Attention

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Journal of Shanghai Jiaotong university(Science) 2023年第3期28卷 360-369页

作者：姜锐朱瑞祥蔡萧萃苏虎 College of Information Engineering Shanghai Maritime UniversityShanghai 201306China Research Center of Precision Sensing and Control Institute of AutomationChinese Academy of SciencesBeijing 100190China

Moving object segmentation (MOS) is one of the essential functions of the vision system of all robots,including medical robots. Deep learning-based MOS methods, especially deep end-to-end MOS methods, are actively investigated in this ﬁeld. Foreground segmentation networks (FgSegNets) are representative deep end-to-endMOS methods proposed recently. This study explores a new mechanism to improve the spatial feature learningcapability of FgSegNets with relatively few brought parameters. Speciﬁcally, we propose an enhanced attention(EA) module, a parallel connection of an attention module and a lightweight enhancement module, with sequentialattention and residual attention as special cases. We also propose integrating EA with FgSegNet_v2 by taking thelightweight convolutional block attention module as the attention module and plugging EA module after the twoMaxpooling layers of the encoder. The derived new model is named FgSegNet_v2 EA. The ablation study veriﬁesthe effectiveness of the proposed EA module and integration strategy. The results on the CDnet2014 dataset,which depicts human activities and vehicles captured in different scenes, show that FgSegNet_v2 EA outperformsFgSegNet_v2 by 0.08% and 14.5% under the settings of scene dependent evaluation and scene independent evaluation, respectively, which indicates the positive effect of EA on improving spatial feature learning capability ofFgSegNet_v2.

关键词： human-computer interaction moving object segmentation foreground segmentation network enhanced attention convolutional block attention module

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Dynamic Event-Triggered Consensus control for Input Constrained Multi-Agent Systems With a Designable Minimum Inter-Event Time

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 649-660页

作者： Meilin Li Yue Long Tieshan Li Hongjing Liang C.L.Philip Chen the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China IEEE the Yangtze Delta Region Institute University of Electronic Science and Technology of ChinaHuzhou 313000 the Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing 100089China the School of Computer Science and Engineering South China University of TechnologyGuangzhou 510006

This paper investigates the consensus control of multi-agent systems(MASs) with constrained input using the dynamic event-triggered mechanism(ETM).Consider the MASs with small-scale networks where a centralized dynamic ETM with global information of the MASs is first ***,a distributed dynamic ETM which only uses local information is developed for the MASs with large-scale *** is shown that the semi-global consensus of the MASs can be achieved by the designed bounded control protocol where the Zeno phenomenon is eliminated by a designable minimum inter-event *** addition,it is easier to find a trade-off between the convergence rate and the minimum inter-event time by an adjustable ***,the results are extended to regional consensus of the MASs with the bounded control *** simulations show the effectiveness of the proposed approach.

关键词： Constrained input designable minimum inter-event time directed communication topology dynamic event-triggered mechanism MASs consensus control

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Multi-User Cooperative Receive Scheme for Air-to-Ground Vortex Wave Communications

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China Communications 2025年第3期22卷 76-85页

作者： Zhang Beibei Chen Ruirui Lin Jinyang Li Qi Liang Liping Sun Yanjing School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Jiangsu Automation Research Institute Lianyungang 222061China State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an 710071China

Orbital angular momentum(OAM)can achieve multifold increase of spectrum efficiency,but the hollow divergence characteristic and Line-of-Sight(LoS)path requirement impose the crucial challenges for vortex wave *** air-to-ground vortex wave communications,where there exists the LoS path,this paper proposes a multi-user cooperative receive(MUCR)scheme to break through the communication distance limitation caused by the characteristic of vortex wave hollow *** particular,we derive the optimal radial position corresponding to the maximum intensity,which is used to adjust the waist *** on the waist radius and energy ring,the cooperative ground users having the minimum angular square difference are ***,the signal compensation scheme is proposed to decompose OAM signals in air-to-ground vortex wave *** results are presented to verify the superiority of our proposed MUCR scheme.

关键词： air-to-ground capacity cooperative receive multi-user vortex wave communications

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On non-von Neumann flexible neuromorphic vision sensors

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npj Flexible Electronics 2024年第1期8卷 638-663页

作者： Hao Wang Bin Sun Shuzhi Sam Ge Jie Su Ming Liang Jin Institute for Future Shandong Key Laboratory of Industrial Control TechnologySchool of AutomationQingdao UniversityQingdao 266071China College of Electronic and Information Engineering Qingdao UniversityQingdao 266071China Department of Electrical and Computer Engineering and Institute for Functional Intelligent MaterialsNational University of SingaporeSingapore 117583Singapore

The structure andmechanismof thehuman visual system contain rich treasures,and surprising effects can be achieved by simulating the human visual *** this article,starting from the human visual system,we compare and discuss the discrepancies between the human visual system and traditional machine vision *** the wide variety and large volume of visual information,the use of nonvon Neumann structured,flexible neuromorphic vision sensors can effectively compensate for the limitations of traditional machine vision systems based on the von Neumann ***,this article addresses the emulation of retinal functionality and provides an overview of the principles and circuit implementation methods of non-von Neumann computing ***,in terms of mimicking the retinal surface structure,this article introduces the fabrication approach for flexible sensor ***,this article analyzes the challenges currently faced by non-von Neumann flexible neuromorphic vision sensors and offers a perspective on their future development.

关键词： Neumann system starting

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research on Autonomous Decision-Making of Multi-UAV Air Combat Based on Deep Reinforcement Learning 7th

Research on Autonomous Decision-Making of Multi-UAV Air Comb...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Zhou, Zhiming Qi, Hongmin Liu, Zhen Qian, Dianwei Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819733354

To solve the autonomous decision-making problem of multi-UAV air combat, a multi-UAV reinforcement learning self-game autonomous decision-making method for air combat with parameter sharing is proposed. Firstly, a self-game policy pool training framework is designed. The game ability of the multi-UAV autonomous decision-making model is improved by self-game confrontation with a policy pool containing different training generations. Secondly, a parameter-sharing mechanism is proposed to train homogeneous UAVs to improve the efficiency of reinforcement learning training and the utilization of interactive data. Finally, a multi-UAV autonomous decision-making model using the multi-agent deep deterministic policy gradient algorithm is designed so that it can explore effectively in the continuous action space. In addition, experiments are designed to verify the effectiveness and migration of the designed algorithm and training framework. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Decision making

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Fusion information refresh rate improvement based on adaptive visual tracking in vehicle augmented reality sightseeing interactive system

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Journal of the Society for Information Display 2024年第8期32卷 545-554页

作者： Tsai, Yu-Hsiang Dai, Hong-Ming Yan, Yung-Jhe Ou-Yang, Mang Institute of Electrical and Computer Engineering National Yang Ming Chiao Tung University Taipei Taiwan Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Taipei Taiwan Div. of Display & System Integration Electronic and Optoelectronic System Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan

This paper proposes a dynamic information fusion interactive system with a transparent display applied in the vehicle. The dynamic information fusion interactive system integrates three leading technologies: relative position acquisition, fusion information mapping, and visual field tracking adaptive information generation. For visual field tracking adaptive information generation, the position of fusion information changes as the observer's field of view varies to help observers use this system more comfortably and intuitively. The frame rate of the dynamic virtual information display can be increased from 10 to 20 Hz without increasing the AI computing power and providing observers with a better observer experience. Integrating those technologies could achieve an AR-based interactive system on a direct-view transparent display. Such a system can provide passengers with location-based interactive virtual and real integration information in the mobile field. © 2024 Society for Information Display.

关键词： Augmented reality

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Cognitive Navigation for Intelligent Mobile Robots:A Learning-Based Approach With Topological Memory Configuration

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1933-1943页

作者： Qiming Liu Xinru Cui Zhe Liu Hesheng Wang Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China MoE Key Laboratory of Artificial Intelligence AI InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of EducationKey Laboratory of Marine Intelligent Equipment and System of Ministry of EducationShanghai Engineering Research Center of Intelligent Control and ManagementShanghai Jiao Tong UniversityShanghai 200240China

Autonomous navigation for intelligent mobile robots has gained significant attention,with a focus on enabling robots to generate reliable policies based on maintenance of spatial *** this paper,we propose a learning-based visual navigation pipeline that uses topological maps as memory *** introduce a unique online topology construction approach that fuses odometry pose estimation and perceptual similarity *** tackles the issues of topological node redundancy and incorrect edge connections,which stem from the distribution gap between the spatial and perceptual ***,we propose a differentiable graph extraction structure,the topology multi-factor transformer(TMFT).This structure utilizes graph neural networks to integrate global memory and incorporates a multi-factor attention mechanism to underscore elements closely related to relevant target cues for policy *** from photorealistic simulations on image-goal navigation tasks highlight the superior navigation performance of our proposed pipeline compared to existing memory *** validation through behavior visualization,interpretability tests,and real-world deployment further underscore the adapt-ability and efficacy of our method.

关键词： Graph neural networks(GNNs) spatial memory topological map visual navigation

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SR-STM: Simulation–Reality Spatial–Temporal Model for Early Warning of Power Tilt in Nuclear Power Plants

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IEEE Internet of Things Journal 2025年第11期12卷 17854-17868页

作者： Lin, Weiqing Miao, Xiren Chen, Jing Duan, Pengbin Ye, Mingxin Xu, Yong Liu, Xinyu Jiang, Hao Fuzhou University College of Electrical Engineering and Automation Fuzhou350108 China China Nuclear Power Technology Research Institute Company Ltd. Research Department of Reactor Measurement and Control Shenzhen518000 China National Nuclear Power Operation Maintenance Technology Company Ltd. Department of Instrument & Control Equipment Hangzhou311200 China

Balanced in-core power levels in nuclear power plants (NPPs) are critical for safety, whereas power tilt disrupts this balance, reducing safety margins and posing risks. Early warning for power tilt offers an effective way of optimizing monitoring. Due to abnormal-sample scarcity and security concerns, common data-driven models train on the simulated data generated by simulators. However, achieving a satisfactory effect in practices is difficult because simulators imperfectly emulate reality. Thus, we propose a power tilt-oriented early warning method called simulation–reality spatial–temporal model (SR-STM). Motivated by the physical model in NPPs, a knowledge-guided hierarchical graph is designed to characterize spatial correlations among local power levels for SR-STM’s input. The SR-STM uses a lightweight spatial–temporal network (LST-Net) as a feature extractor, balancing precision, and efficiency. To bridge sim-real interdomain discrepancies, SR-STM utilizes node-alignment adversarial learning (NAAL) for fine weight tuning in subdomain, and eigenvalue-based scale alignment (ESA) for sim-real feature proximity. Forecasting local power levels using the SR-STM, dynamic metrics and alarm limits are calculated and compared to perform the early warning task. The online experimental prototype verifies that SR-STM surpasses various state-of-the-art methods in terms of early warning and sim-real cross-domain tasks. © 2014 IEEE.

关键词： Eigenvalues and eigenfunctions

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