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Enhancing Resource Allocation and Performance in Multi-Layer Industrial IoT Through Adjustable Strategy Integrating Cooperative Communication and Edge Computing

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IEEE Internet of Things Journal 2025年

作者： Sun, Mingyue Yuan, Yazhou Ma, Kai Chen, Cailian Zhang, Jianmin Luo, Xiaoyuan The Institute of electrical Engineering Yanshan University Qinhuangdao066004 China The Department of Automation Shanghai Jiao Tong University Shanghai200240 China The Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China The Automation Department of the Baosteel Research Institute Shanghai200240 China

Reliable bidirectional communication between the control center (CC) and manufacturing devices (MDs) along with efficient resource allocation are critical for the Industrial Internet of Things (IIoT). However, due to the limited network resources of IIoT devices and the intertwined nature of communication and computation resources, achieving efficient optimization of these resources presents significant challenges. In this paper, we propose a multi-layer communication architecture for the IIoT based on edge computing and cooperative communication technologies, where resource-constrained MDs upload data to edge servers (ESs) for processing. To address the issues of resource scarcity and coupling, we establish a bandwidth release model (BRM) to analyze and quantify the relationship between computation and communication resources. This elucidates the interaction mechanisms between ‘transmission-computation’ performance. Furthermore, to prevent excessive data upload to ESs, which could lead to node overload and network congestion, we employ game theory to develop a pricing mechanism for resource allocation, where ESs charge for computation services. Specifically, we construct a Lagrangian framework to determine a resource allocation scheme, aiming to maximize the utility of the factory. Simulation results indicate that compared to common methods employed in existing works, our strategy enhances factory utility by 29.79%. © 2014 IEEE.

关键词： Edge computing

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Predefined-time Attitude Tracking control for Liquid-filled Spacecraft Under Angular Velocity and Torque Constraints

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IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Zhang, Wei Guo, Yanning Ran, Guangtao Liu, Jian Wang, Bohui Harbin Institute of Technology Department of Control Science and Engineering Heilongjiang Harbin150001 China Southeast University School of Automation Nanjing210096 China Xi'an Jiaotong University School of Cyber Science and Engineering Xi'an710049 China

This paper addresses the attitude tracking control problem of liquid-filled spacecraft in the presence of angular velocity constraints and limited control torque. Significant challenges arise in spacecraft attitude control due to the increased nonlinearity and uncertainty in spacecraft dynamics resulting from large-amplitude liquid fuel slosh during attitude tracking missions. Firstly, the sloshing liquid in partially-filled tanks carried by the spacecraft is described by the Moving Pulsating Ball Model, and the interaction torque between rigid body and pulsating ball is equivalent to the internal disturbance. Secondly, a predefined-time disturbance observer is introduced to estimate the internal and external disturbance. After that, two sliding mode variables are designed to ensure that the angular velocity can track the desired value within a predefined time and satisfy the constraints. Furthermore, a predefined-time sliding mode attitude tracking controller is proposed, and a predefined-time auxiliary subsystem is proposed to deal with the torque constraint. Finally, the effectiveness of the proposed control algorithm is verified by numerical simulation. © 1965-2011 IEEE.

关键词： Fuel sloshing

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Multimodal Emotion Recognition Based on Multi-Scale Facial Features and Cross-Modal Attention 26

Multimodal Emotion Recognition Based on Multi-Scale Facial F...

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26th International Conference on Industrial Technology, ICIT 2025

作者： Bao, Chengao Chen, Luefeng Li, Min Wu, Min Pedrycz, Witold Hirota, Kaoru School of Automation China University of Geosciences Wuhan430074 China School of Automation Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6R 2G7 Canada Tokyo Institute of Technology Yokohama226-8502 Japan Tokyo Institute of Technology Tokyo226-8502 Japan

ISBN: (纸本)9798331521950

A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network into a two-branch ViT architecture by using classification tokens in each branch to interact with picture embeddings in the other branch, which facilitates effective interactions between different scales of information. Subsequently, audio features are extracted using ResNet18 network. The cross-modal attention mechanism is used to obtain the weight matrices between different modal features, making full use of inter-modal correlation and effectively fusing visual and audio features for more accurate emotion recognition. Two datasets are used for the experiments: eNTERFACE'05 and REDVESS dataset. The experimental results show that the accuracy of the proposed method on the eNTERFACE'05 and REDVESS datasets is 85.42% and 83.84% respectively, which proves the effectiveness of the proposed method. © 2025 IEEE.

关键词： Modal analysis

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Adaptive Cooperative Estimation and Guidance Against Unknown Maneuvering Target

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IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Liu, Tianrun Chen, Yang-Yang Li, Shihua Southeast University School of Automation Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Advanced Ocean Institute of Southeast University Nantong226000 China

A critical challenge in missile guidance is the frequent inaccessibility of essential target information by on-board seekers. This paper studies the three-dimensional cooperative guidance issue of multiple missiles simultaneously attacking an unknown maneuvering target. Different from most existing research, the pitch and yaw lead angles of a maneuvering target are entirely unknown, while the position and velocity information is only accessible to neighboring missiles. An adaptive distributed estimator is designed to estimate the target information over a directed communication network, generating a transmitted target with similar maneuverability to the actual target for each missile. Boundedness of the estimation errors are guaranteed within a prescribed time. Subsequently, a modified guidance law that integrates proportional navigation (PN) and coordination components is developed for simultaneously tracking the trajectories of the transmitted targets. The superiority of the developed adaptive cooperative estimation and guidance approach is confirmed through simulations. © 1965-2011 IEEE.

关键词： adaptive estimate Cooperative guidance maneuvering target prescribed-time three-dimensional

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Freestanding metamaterial with constant coupling response for terahertz flexible functional devices

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Photonics Research 2025年第1期13卷 177-186页

作者： QIUMING ZENG TINGTING SHI YI HUANG SHUNCONG ZHONG FUWEI SUN CHENGLONG GUAN JIANXIONG CHEN TINGLING LIN YUJIE ZHONG YONGLIN HUANG Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhou 350108China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhou 350108China School of Economics and Management Minjiang UniversityFuzhou 350108China

Metamaterials(MMs)have become increasingly prominent in terahertz flexible ***,bending deformation often alters the structure of the unit,which affects the response performance and stability of ***,a metal-aperture metamaterial(MA-MM)utilizing the strong coupling effect induced by two resonance modes is innovatively proposed to address the mentioned ***,it is found that the coupling state between multiple resonance modes remains consistent at different bending *** these circumstances,the generated Rabi splitting peak presents stable response performance even under low resonance intensity caused by excessive *** experimental results demonstrate that despite the amplitude of two resonant peaks decreasing significantly by 87.6%,the Q-factor of the Rabi splitting only reduced by 14.8%.Furthermore,armed with the response mode of the Rabi splitting being unaffected by plasma excitation range,the designed MA-MMs are able to maintain constant Q-factors and frequencies on curved surfaces of varying *** findings exhibit the characteristics of electromagnetic response for multi-mode resonance-coupled MAMMs on different curved surfaces,presenting a novel design approach for terahertz flexible functional devices.

关键词： coupling splitting constant

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Underwater arbitrary ranging based on chirped pulse interferometry with a mode-locked laser

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Journal of Lightwave Technology 2025年第11期43卷 5235-5243页

作者： Shi, Haonan Zhao, Haihan Xu, Xinyang Zhu, Zhiwei Zhai, Jingsheng Li, Xiaobo Tianjin University School of Marine Science and Technology Tianjin300072 China Research Institute of China Electronics Technology Group Corporation Science and Technology on Electro-Optical Information Security Control Laboratory No. 53 Tianjin300308 China The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Hong Kong999077 Hong Kong Nanjing University of Aeronautics and Astronautics Key Laboratory of Space Photoelectric Detection and Perception Ministry of Industry and Information Technology Nanjing211106 China

Underwater distance measurement and length sensing, as fundamental functions of geoscience, are integrated into underwater robots and vessels in various forms of sensor payloads and play a crucial role in a wide range of remote sensing applications. Advanced laser-based detection systems and algorithms are essential for underwater tasks, such as detecting damage in underwater pipelines and conducting detailed structural health assessments. In this paper, we experimentally demonstrated an arbitrary underwater ranging system by the chirped pulse interferometry with a mode-locked laser. Water's inherent characteristic introduces dispersion, enabling unique distance discrimination. Adjusting the repetition frequency allows us to acquire the interference spectrum. A long fiber delay line, stabilized by the servo-controlled system, eliminates the ranging dead zone. The widest fringe of the interference spectrum, corresponding to an instantaneous repetition frequency, indicates the arbitrary measured distance. Leveraging a charge-coupled device detection module, we achieved an update rate of 13.5 Hz for the interference spectrum. Experimental results show a precise distance difference within 59.8 μm at the 5 m range underwater without the dead zone. © 2025 IEEE. All rights reserved.

关键词： Laser mode locking

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A semi-supervised method using cycle consistency and multi-perspective dilated for SAR-to-optical translation

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iScience 2025年第5期28卷

作者： Wang, Jinyu Yang, Haitao Liu, Zhengjun Chen, Hang Department of Graduate Management Space Engineering University Beijing China Department of Automation Measurement and Control Harbin Institute of Technology Harbin China

Synthetic aperture radar (SAR) is a powerful imaging sensor capable of operating in any weather and at any time, despite its image interpretation poses challenges. Translating SAR images to optical (S2O) can serve as a beneficial supplement for target detection, image alignment, and image fusion. The existing S2O translation employs solely unsupervised or supervised techniques. This research presents a semi-supervised S2O generating approach that can obtain domain-level and pixel-level mapping relationships. A dual-branch cycle consistency loss has been developed to independently constrain supervised and unsupervised modules. To improve global and sparsity feature extraction, the generator combines sliding dilated convolution with multi-respective parallel branching. Using just 1,100 pairs of training sets, extensive experiments have demonstrated that the suggested strategy outperforms baseline methods in both subjective and objective standards, where Fréchet inception distance (FID) is optimized by 23.41%, 49.25%, 48.57%, 16.73%, and 42.32% on the five land classes. © 2025 The Authors

关键词： Applied sciences Natural sciences Physics

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SpaGRA:Graph augmentation facilitates domain identification for spatially resolved transcriptomics

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Journal of Genetics and Genomics 2025年第1期52卷 93-104页

作者： Xue Sun Wei Zhang Wenrui Li Na Yu Daoliang Zhang Qi Zou Qiongye Dong Xianglin Zhang Zhiping Liu Zhiyuan Yuan Rui Gao Center of Intelligent Medicine School of Control Science and EngineeringShandong UniversityJinanShandong 250061China MOE Key Lab of Bioinformatics and Bioinformatics Division of BNRIST Department of AutomationTsinghua UniversityBeijing 100084China Institute of Precision Medicine Peking University Shenzhen HospitalShenzhenGuangdong 518036China Department of Clinical Laboratory The Second HospitalCheeloo College of MedicineShandong UniversityJinanShandong 250033China Institute of Science and Technology for Brain-Inspired Intelligence Center for Medical Research and InnovationShanghai Pudong HospitalFudan University Pudong Medical CenterFudan UniversityShanghai 200433China

Recent advances in spatially resolved transcriptomics(SRT)have provided new opportunities for characterizing spatial structures of various ***-based geometric deep learning has gained widespread adoption for spatial domain identification ***,most methods define adjacency relation between cells or spots by their spatial distance in SRT data,which overlooks key biological interactions like gene expression similarities,and leads to inaccuracies in spatial domain *** tackle this challenge,we propose a novel method,SpaGRA(https://***/sunxue-yy/SpaGRA),for automatic multi-relationship construction based on graph *** uses spatial distance as prior knowledge and dynamically adjusts edge weights with multi-head graph attention networks(GATs).This helps SpaGRA to uncover diverse node relationships and enhance message passing in geometric contrastive ***,SpaGRA uses these multi-view relationships to construct negative samples,addressing sampling bias posed by random *** results show that SpaGRA presents superior domain identification performance on multiple datasets generated from different *** SpaGRA,we analyze the functional regions in the mouse hypothalamus,identify key genes related to heart development in mouse embryos,and observe cancer-associated fibroblasts enveloping cancer cells in the latest Visium HD ***,SpaGRA can effectively characterize spatial structures across diverse SRT datasets.

关键词： Spatial domain identification Spatially resolved transcriptomics Multi-head graph attention networks Graph augmentation Geometric contrastive learning

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Effect of Air Content on the Internal Fluid Characteristics of Liquid Floated Gyro

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Journal of Thermal Science and engineering Applications 2025年第4期17卷 041005页

作者： Zhang, Yaping Wang, Yanzhong Niu, Wentao Yang, Kai Rao, Sixian Qiao, Baiyu School of Mechanical Engineering Anhui University of Technology Ma’anshan 243032 China School of Mechanical Engineering and Automation Beihang University Beijing 100191 China Beijing Institute of Aerospace Control Devices Beijing 100853 China Beijing Spacecraft Beijing 100094 China

The liquid floated gyro (LFG) is an inertial instrument widely used in aviation, aerospace, navigation, and other high-tech fields, with the advantages of high accuracy and good in-orbit reliability. The filling of internal floating oil is a key process in the manufacture of LFG, however, due to the limitation of technology level, environmental conditions, and other factors, the floating oil may be mixed with a certain amount of air, which affects the rheological characteristics of the oil, thus leading to the accuracy drift of the gyro instrument. Therefore, this paper analyzes the effect of air content on the fluid characteristics of the gyro oil by using the computational fluid dynamics method. The results show that the air content has a significant effect on the oil dynamics: when the air content increases from 0% to 3%, the average flow velocity of the oil decreases by 4.15%, and the viscous interference torque increases by 0.02%, which reduces the stability of the instrument accuracy to a certain extent, so the generation of air bubbles should be avoided or necessary measures should be taken to remove air bubbles during the oil filling process.

关键词： thermodynamic characteristics aerospace heat transfer and droplets Torque bubbles Drag (Fluid dynamics) Temperature Computational fluid dynamics air content Viscosity Instrumentation Flow (Dynamics) inertial navigation Heat transfer liquid floated gyro Stability Navigation Rheology Fluids particles thermophysical properties Bubbles Aerospace industry

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Development of a Learning-Based control System for Robot-Assisted Grinding of Rubber Roller

Development of a Learning-Based Control System for Robot-Ass...

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International Conference on Autonomous Robots and Agents, ICARA

作者： Fabian Reiling Maximilian Bause Stefan Gröger Christian Henke Steven Koppert Ansgar Trächtler Scientific Automation Fraunhofer IEM Paderborn Germany Intelligent Automotive Industry Capgemini Invent Hamburg Germany Control Engineering and Mechatronics Heinz Nixdorf Institute Paderborn Germany

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

Grinding rubber rollers to a specific geometry presents significant challenges due to the material's non-linear behavior. Currently, this process has not been successfully automated, primarily because the control concepts implemented thus far do not achieve the desired accuracy for economical operation. Consequently, these rollers are manually ground to the required geometry on a grinding wheel. Previous work has led to the development of a system that automates the grinding of rollers using a robot. The objective of this paper is to demonstrate, through modeling, how a learning-based control system can be developed for this process to reduce production time and facilitate an economical operation. To this end, we propose two control concepts: one that directly predicts the required control variable using a learning-based controller, and another that employs an AI-corrected control mechanism, which utilizes the control variable provided by a proportional controller to correct the error between the control variable and the control difference. Finally, we conduct a comparative simulation of the performance of these concepts against a conventional controller.

关键词： Geometry Hands Manufacturing processes Process control Wheels Production control systems Parametric statistics Rubber Mobile robots

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