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Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things

IEEE Internet of Things Journal 2025年第11期12卷 16298-16313页

作者： Li, Mengran Chen, Junzhou Yu, Chenyun Jiang, Guanying Zhang, Ronghui Shen, Yanming Song, Houbing Herbert Shenzhen Campus of Sun Yat-sen University School of Intelligent Systems Engineering Shenzhen518107 China Baidu Inc Beijing100085 China Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education School of Electronic Information and Electrical Engineering Dalian116024 China Department of Information Systems Baltimore County BaltimoreMD21250 United States

With the advancement of information technology, the Social Internet of Things (SIoT) has fostered the integration of physical devices and social networks, deepening the study of complex interaction patterns. Text Attribute Graphs (TAGs) capture both topological structures and semantic attributes, enhancing the analysis of complex interactions within the SIoT. However, existing graph learning methods are typically designed for complete attributed graphs, and the common issue of missing attributes in Attribute Missing Graphs (AMGs) increases the difficulty of analysis tasks. To address this, we propose the Topology-Driven Attribute Recovery (TDAR) framework, which leverages topological data for AMG learning. TDAR introduces an improved pre-filling method for initial attribute recovery using native graph topology. Additionally, it dynamically adjusts propagation weights and incorporates homogeneity strategies within the embedding space to suit AMGs' unique topological structures, effectively reducing noise during information propagation. Extensive experiments on public datasets demonstrate that TDAR significantly outperforms state-of-the-art methods in attribute reconstruction and downstream tasks, offering a robust solution to the challenges posed by AMGs. The code is available at https://***/limengran98/TDAR. © 2014 IEEE.

关键词： Undirected graphs

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Relative Localizability and Localization for Multirobot Systems

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IEEE Transactions on Robotics 2025年 41卷 2931-2949页

作者： Chen, Liangming Liang, Chenyang Yuan, Shenghai Cao, Muqing Xie, Lihua Southern University of Science and Technology School of System Design and Intelligent Manufacturing Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology Shenzhen518055 China Harbin Institute of Technology School of Mechanical Engineering and Automation Shenzhen518055 China Southern University of Science and Technology School of System Design and Intelligent Manufacturing Shenzhen518055 China Nanyang Technological University School of Electrical and Electronic Engineering 639798 Singapore Carnegie Mellon University Robotics Institute PittsburghPA15213 United States

Inter-robot relative positions are crucial for executing various multirobot missions, such as formation maneuvering and collaborative inspection. However, the current sensing technology usually provides part of relative position information, such as inter-robot distances, bearings and angles. This prompts the study of determining inter-robot relative positions, i.e., relative localization, from these partial measurements. Based on the existing results of static networks' localizability and mobile robots' relative localization, we propose a novel concept, relative localizability to describe whether a multirobot system is relatively localizable. Given each robot's self-displacement measurements and inter-robot partial measurements in d (d ≤ 4) sampling instants, we show that a multirobot system's relative localization can be achieved in a purely algebraic and distributed manner, in which the multirobot system is said to be d-step relatively localizable. To make the results more general, we consider that the multirobot system consists of landmarks, leaders, and followers, and that the inter-robot measurements can be distances, bearings or angles. When robots' coordinate frames have different orientations, we show that the given local measurements can be used to determine robots' relative positions and their coordinate frames' relative orientations simultaneously. Simulations and experiments of relative localization for ground robots are conducted to validate the obtained results. © 2004-2012 IEEE.

关键词： Multipurpose robots

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Rapid Detection of Deformable Mirrors Based on Phase Measuring Deflectometry 10

Rapid Detection of Deformable Mirrors Based on Phase Measuri...

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10th Symposium on Novel optoelectronic Detection technology and Applications

作者： Li, Zhaoyang Wang, Shanshan Zhou, Shuhong Zhang, Nansheng Fu, Tao Hao, Qun National Key Laboratory on Near-Surface Detection Beijing100072 China School of Optics and Photonics Beijing Institute of Technology Beijing100081 China Shanghai Aerospace Control Technology Institute Shanghai201109 China School of Opto-Electronic Engineering Changchun University of Science and Technology Changchun130022 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

Deformable mirrors play a critical role in adaptive optics systems, and as the precision demands of optical systems continue to rise, the accurate detection of deformable mirror shape and performance becomes essential to the overall system's effectiveness. Improved detection methods can significantly enhance the design quality and manufacturing precision of deformable mirrors. In this paper, we introduce a phase measuring deflectmetry that directly measures slope variations to detect the surface deformation of deformable mirrors. To further enhance measurement accuracy, monitoring stations are integrated into the system. We conducted measurements on a 100mm-diameter deformable mirror, and through comparisons of simulation and experimental results, we verified that the system provides high measurement accuracy and real-time monitoring of dynamic error influences. This system is well-suited for long-term monitoring of surface changes in deformable mirrors. © 2025 SPIE.

关键词： Adaptive optics

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Fast Brillouin frequency shift estimation using digital elevation modeling method in BOTDR 4

Fast Brillouin frequency shift estimation using digital elev...

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4th International Computational Imaging Conference, CITA 2024

作者： Zan, Wei Liu, Xinyi Yang, Mingyuan Bai, Qai Wang, Yu Jin, Baoquan Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education Taiyuan University of Technology Taiyuan030024 China College of Physics and Optoelectronic Engineering Taiyuan University of Technology Taiyuan030024 China College of Electronic Information Engineering Taiyuan University of Technology Taiyuan030024 China

ISBN: (纸本)9781510688834

In the practical application of Brillouin optical time-domain reflectometry (BOTDR) in temperature and strain monitoring, enhancing measurement speed remains a critical challenge. This paper presents a novel method for Brillouin frequency shift (BFS) estimation utilizing level set and digital elevation modeling (DEM). The algorithm demonstrates superior time efficiency. At the same time, the accuracy of the scheme is proved in the comparation experiment and correlation analysis. The method reduces computational time, without spatial resolution or measurement error degradation. © 2025 SPIE.

关键词： Digital elevation model

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Thermal constraint control of reversible solid oxide cell for optimal system efficiency

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International Journal of Hydrogen Energy 2025年 134卷 198-211页

作者： Xu, Yuanwu Yin, Jie Wang, Jingjing Wu, Xiao-long Peng, Jingxuan Tang, Ruifeng Zou, Suhang Fu, Xiaowei Li, Xi School of Artificial Intelligence and Automation Wuhan University of Science and Technology Hubei Wuhan430081 China School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry Huazhong University of Science and Technology Hubei Wuhan430074 China School of Information Engineering Nanchang University Jiangxi Nanchang330031 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore China-Poland Belt and Road Joint Laboratory on Measurement and Control Technology Huazhong University of Science and Technology Hubei Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen518055 China

Reversible solid oxide cell (RSOC) demonstrates considerable promise in multimodal energy conversion architectures, particularly as a technology for hydrogen-based energy storage systems. Nevertheless, under dynamic operating regimes with time-varying current inputs, realizing time-efficient and reliable transitions to steady-state operation remains difficult. This difficulty arises from the intricate coupling of thermal, electrical, and gaseous processes within the RSOC system. This study aims to address these challenges by developing a 5 kW mathematical model of the RSOC system. The proposed model enables systematic investigation of thermal safety issues arising during current switching operations while introducing a thermal constraint control strategy to enhance both system efficiency and thermal safety performance. This efficiency-driven study employs the Grid Search algorithm to identify optimal steady-state operating points for the RSOC system, ensuring strict adherence to safety constraints across varying current inputs. Furthermore, by integrating the pre-identified optimal operating points as feedforward control with Model Predictive control (MPC)-based feedback correction, this hybrid strategy effectively mitigates stack temperature gradient overshoot while synchronously ensuring optimal system efficiency throughout current transition processes. Under simulated variable current inputs, the proposed RSOC system model and control strategy demonstrate the capability to constrain stack temperature gradient overshoot within 2.3K while enhancing transient efficiency by 5 %–8 %, achieving a peak system efficiency of 85 %. It provides a novel methodology for safe and efficient working with intermittent renewable energy. © 2025 Hydrogen Energy Publications LLC

关键词： Thermal variables control

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In-Band Full-Duplex Communication for OFDM Integrated Sensing and Communication Systems

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IEEE Internet of Things Journal 2025年

作者： Duan, Baiyu Li, Tong Pan, Wensheng Zhou, Hui Shen, Ying Liu, Ying Shao, Shihai University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing100089 China

In-band full-duplex (IBFD) integrated sensing and communication (ISAC) systems, where the base station (BS) simultaneously conducts the IBFD mode for both communication and sensing functions, increase spectral efficiency and reduce both communication and sensing latency. However, it is challenging to decouple the target echo and uplink communication signal at the digital domain of the receiver within serious self-interference (SI) from the transmitter. This paper investigates a digital canceller for IBFD ISAC systems with orthogonal frequency-division multiplexing (OFDM) waveform, enabling IBFD communication and sensing within the same time-frequency resource. With the proposed frequency-domain two-stage interference cancellation method, the ISAC receiver cancels the static interference and extracts the moving target echo signal for the sensing function. Subsequently, the uplink communication signal is decoupled after mitigating the target echo signal. Both sensing and communication performance are evaluated under different merits. Meanwhile, simulation and experiment results demonstrate the feasibility and effectiveness of the frequency-domain-canceller-enabling IBFD communication-based ISAC system. © 2014 IEEE.

关键词： Orthogonal frequency division multiplexing

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Optimization design and simulation of assembly line for aircraft’s door 3

Optimization design and simulation of assembly line for airc...

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2024 3rd International Conference on Aerospace and control Engineering, ICoACE 2024

作者： Chen, Yibeibei Wang, Zhaopeng Li, Bo Chen, Xiaoyun Liu, Xianglong School of Aeronautics and Astronautics University of Electronic Science and Technology of China Sichuan Chengdu611731 China Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Sichuan Chengdu611731 China AVIC Chengfei Commercial Aircraft Co. Ltd. No. 358 Wenguang Road Sichuan Chengdu610091 China

Aiming at the problems of uneven production schedule and low production efficiency in the assembly process of aircraft doors of a civil aircraft company, the original aircraft door assembly line was modeled and simulated in FlexSim to analyze the reasons for the above problems. Depending on the assembly process and process constraints, blockage can be mitigated by adding or removing operators, merging stations, and introducing automated equipment. Due to the large footprint of automation equipment, and the lack of buffer area, the existing production line layout is insufficient to meet the requirements. Therefore, based on the system layout planning (SLP) method, all the stations in the assembly line are divided according to the operation unit, and the position of each operation unit is arranged according to the logistics intensity relationship to obtain the new workshop layout. Finally, the effectiveness of the automated SLP layout scheme is verified in FlexSim, and the capacity of the optimized aircraft door assembly line is significantly increased by simulating and comparing the original assembly line and the optimized assembly line, which provides support for further research on the aircraft door assembly line. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Assembly machines

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Effect of Frequency Offset on Collaborative Beamforming of UAV Swarm in Space-Air-Ground Integrated Networks

Effect of Frequency Offset on Collaborative Beamforming of U...

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IEEE Conference on Wireless Communications and Networking

作者： Jiaxin Du Wenbo Guo Mu Yan Hongzhi Zhao Shihai Shao National Key Laboratory of Wireless Communications University of Electronic Science and Technology of China Chengdu China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

The space-air-ground integrated networks (SAGNs) are promising components of the next generation communication system, and unmanned aerial vehicle (UAV) swarms are the primary infrastructures of the SAGNs aerial layer, used for relaying information. Furthermore, UAV swarms form virtual antenna arrays (VAAs) and implement collaborative beamforming (CB), which can improve the deep-space communication distance and expand the ground coverage. However, in practical engineering, due to the doppler effect and local oscillator random frequency drift, there is a frequency offset between UAVs, even after frequency synchronization, resulting in CB performance degradation. Therefore, in the presence of frequency offset, this paper investigates and presents the derivation of the average far-field beampattern, 3-dB beamwidth, and complementary cumulative distribution function (CCDF) for UAV swarm executing CB in SAGNs. The results show that the average far-field beam-pattern, peak power, 3-dB beamwidth, and CCDF, deteriorate as frequency offset intensifies. Furthermore, as the UAV swarm scale increases, the peak power attenuation is aggravated, and the decrease in CCDF is steeper. With the increase in the UAV swarm distribution range, the 3-dB beamwidth expansion is alleviated.

关键词： Local oscillators Array signal processing Collaboration Autonomous aerial vehicles Space-air-ground integrated networks Attenuation Doppler effect Frequency synchronization Next generation networking Antenna arrays

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Effect of IQ Imbalance on Cooperative Jamming Cancellation for 6G Security in Physical Layer

Effect of IQ Imbalance on Cooperative Jamming Cancellation f...

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IEEE Conference on Wireless Communications and Networking

作者： Mingyue Jin Wenbo Guo Hongzhi Zhao Shihai Shao National Key Laboratory of Wireless Communications University of Electronic Science and Technology of China Chengdu China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

While 6G provides communication services for massive wireless devices, it faces huge security risks due to its open feature. Cooperative jamming techniques in physical layer security provide a viable way to ensure 6G security. By actively transmitting jamming signals to deteriorate the eavesdropping channel, while authorized receivers implement cooperative jamming cancellation (CJC) using the prior knowledge of cooperative jamming, thus securing the communication at the physical layer. In practice, incomplete matching of oscillator device characteristics will lead to the in-phase and quadrature (IQ) imbalance problem, where the quadrature branches of the up and down converted carrier signals are not perfectly orthogonal to the in-phase branches, which may degrade the CJC performance. For this reason, this paper specifically analyzes the impact of the IQ imbalance problem on the CJC performance, where a closed-form expression of the jamming cancellation ratio (JCR) with respect to amplitude imbalance and phase imbalance is derived. The simulation results show that when jamming-to-noise ratio (JNR) is 35 dB, the system can tolerate up to 1% amplitude imbalance and 1° phase imbalance with 3 dB JCR degradation. Moreover, the IQ imbalance has a noticeable effect on the reachable security rate of the communication system.

关键词： 6G mobile communication Wireless communication Performance evaluation Simulation Receivers Physical layer security Security Jamming Oscillators Faces

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Prescribed Performance Bipartite Consensus control for MASs Under Data-Driven Strategy

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IEEE/CAA Journal of Automatica Sinica 2025年第5期12卷 937-946页

作者： Zhou, Qi Yin, Caiyun Ma, Hui Ren, Hongru Li, Hongyi School of Automation Guangdong University of Technology Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control Guangzhou 510006 China School of Mathematics and Statistics Guangdong University of Technology Guangzhou 510006 China College of Electronic and Information Engineering Southwest University Chongqing 400715 China

This paper investigates the bipartite consensus control problem for discrete time nonlinear multiagent systems (MASs) based on data-driven adaptive method. To begin with, a dynamic linearization strategy is utilized to establish the relationship between bipartite tracking error and control input for MASs. Secondly, the unknown parameter linearly associated with control input is acquired by the adaptive control approach, and a discrete time extended state observer is designed to estimate nonlinear uncertainties. Thirdly, in order to achieve the prescribed performance, the constrained bipartite consensus error is transformed through a strictly increasing function. Based on the converted equivalent unconstrained error function, a sliding mode controller using only the input and output data of the MASs is designed. Finally, the efficacy of the controller is confirmed by simulations. © 2014 Chinese Association of Automation.

关键词： Data-driven nonlinear multiagent systems (MASs) prescribed performance sliding mode control

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