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Unmanned aerial vehicles towards future Industrial Internet:Roles and opportunities

Digital communications and Networks 2024年第4期10卷 873-883页

作者： Linpei Li Chunlei Sun Jiahao Huo Yu Su Lei Sun Yao Huang Ning Wang Haijun Zhang School of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083China Shunde Innovation School University of Science and Technology BeijingFoshan 528399China China Mobile Chengdu Institute of Research and Development Chengdu 610200China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China Chengdu University of Information Technology Chengdu 610225China Zhengzhou University Zhengzhou 450001China

Unmanned Aerial Vehicles(UAVs)are gaining increasing attention in many fields,such as military,logistics,and hazardous site *** UAVs to assist communications is one of the promising applications and research *** future Industrial Internet places higher demands on communication *** easy deployment,dynamic mobility,and low cost of UAVs make them a viable tool for wireless communication in the Industrial ***,UAVs are considered as an integral part of Industry *** this article,three typical use cases of UAVs-assisted communications in Industrial Internet are first ***,the state-of-the-art technologies for drone-assisted communication in support of the Industrial Internet are *** to the current research,it can be assumed that UAV-assisted communication can support the future Industrial Internet to a certain ***,the potential research directions and open challenges in UAV-assisted communications in the upcoming future Industrial Internet are discussed.

关键词： Unmanned aerial vehicles(UAVs) UAV-assisted communications Industrial Internet

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Detection of Oscillations in Process control Loops From Visual Image Space Using Deep Convolutional Networks

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 982-995页

作者： Tao Wang Qiming Chen Xun Lang Lei Xie Peng Li Hongye Su the Department of Electronic Engineering the School of InformationYunnan UniversityKunming 650091China DAMO Academy Alibaba GroupHangzhou 311100China the State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhou 310027China

Oscillation detection has been a hot research topic in industries due to the high incidence of oscillation loops and their negative impact on plant *** numerous automatic detection techniques have been proposed,most of them can only address part of the practical *** oscillation is heuristically defined as a visually apparent periodic ***,manual visual inspection is labor-intensive and prone to missed *** neural networks(CNNs),inspired by animal visual systems,have been raised with powerful feature extraction *** this work,an exploration of the typical CNN models for visual oscillation detection is ***,we tested MobileNet-V1,ShuffleNet-V2,Efficient Net-B0,and GhostNet models,and found that such a visual framework is well-suited for oscillation *** feasibility and validity of this framework are verified utilizing extensive numerical and industrial *** with state-of-theart oscillation detectors,the suggested framework is more straightforward and more robust to noise and *** addition,this framework generalizes well and is capable of handling features that are not present in the training data,such as multiple oscillations and outliers.

关键词： Convolutional neural networks(CNNs) deep learning image processing oscillation detection process industries

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FPGA-Oriented Target Detection Accelerator Design 5

FPGA-Oriented Target Detection Accelerator Design

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5th International Conference on Frontiers technology of information and Computer, ICFTIC 2023

作者： Huang, Weizhe Harbin University of Science and Technology School of Measurement and Control Technology and Communication Engineering Harbin China

ISBN: (纸本)9798350309034

Target detection is widely applied in fields such as face recognition, autonomous driving, and industrial automation. However, when deploying target detection models based on convolutional neural networks on resource-constrained embedded platforms, issues like high computational complexity, long execution times, and significant on-chip memory usage arise. To address these challenges, this paper presents a target detection accelerator design based on Field Programmable Gate Array (FPGA). Firstly, the computational workload of convolutional neural networks is reduced by merging convolutional layers with batch normalization layers. Secondly, to mitigate on-chip storage space concerns, on-chip data fixed-point quantization is employed to decrease on-chip memory consumption. Subsequently, to tackle the issue of long execution times, a convolution calculation module based on the Winograd algorithm is designed, which reduces computation latency. Finally, a dual-buffer pipeline architecture is devised to optimize memory bandwidth. Experimental results demonstrate that the proposed solution accelerates YOLOv4-tiny on the ZYNQ-7020, achieving a performance of 21.35 GOP/s. The energy efficiency is 32.56 times higher than CPU and 9.76 times higher than GPU. Additionally, the convolution calculation module in this paper reduces inference time by 15% compared to the sliding window convolution calculation method. © 2023 IEEE.

关键词： CNN FPGA target detection Winograd algorithm

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Optical True Time Delay Compensation Network-Based Beam Tracking for THz Massive MIMO Systems

Optical True Time Delay Compensation Network-Based Beam Trac...

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2023 Asia communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Jia, Shilong Zhang, Chongfu Zhao, Zixin Dai, Lipeng Huang, Huan Fu, Songnian Qiu, Kun School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Information Engineering Guangdong University of Technology Guangzhou China

ISBN: (纸本)9798350312614

Terahertz (THz) communication is one of the most important technologies of future 6G due to its ultra-bandwidth. In THz massive multiple-input multiple-output (MIMO) systems, the performance of beam tracking is significantly degraded due to the beam split effect. In this paper, we propose an optical true time delay compensation network (OTTDCN)-based beam tracking scheme. In the proposed OTTDCN-based beam tracking scheme, the OTTDCN is introduced between the radio-frequency (RF) chains and the phase shifter network to pre-generate the beam compensation modes. Then, OTTDCN controls the degree of the beam split effect through frequency-dependent phase compensation to create multiple beams to track the physical directions of multiple users. Meanwhile, we develop a beam compensation mode-based beam tracking (BCM-BT) algorithm, which considers the selection of the optimal beam compensation modes. The results show that the OTTDCN-based beam tracking scheme can effectively reduce beam tracking overhead and achieve near-optimal sum rate performance. © 2023 IEEE.

关键词： beam split beam tracking optical true time delay THz massive MIMO

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Teachers cooperation:team-knowledge distillation for multiple cross-domain few-shot learning

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Frontiers of Computer Science 2023年第2期17卷 91-99页

作者： Zhong JI Jingwei NI Xiyao LIU Yanwei PANG School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin 300308China Tianjin Key Laboratory of Brain-Inspired Intelligence Technology Tianjin 300072China

Although few-shot learning(FSL)has achieved great progress,it is still an enormous challenge especially when the source and target set are from different domains,which is also known as cross-domain few-shot learning(CD-FSL).Utilizing more source domain data is an effective way to improve the performance of ***,knowledge from different source domains may entangle and confuse with each other,which hurts the performance on the target ***,we propose team-knowledge distllation networks(TKD-Net)to tackle this problem,which explores a strategy to help the cooperation of multiple ***,we distill knowledge from the cooperation of teacher networks to a single student network in a meta-learning *** incorporates task-oriented knowledge distillation and multiple cooperation among teachers to train an efficient student with better generalization ability on unseen ***,our TKD-Net employs both response-based knowledge and relation-based knowledge to transfer more comprehensive and effective *** experimental results on four fine-grained datasets have demonstrated the effectiveness and superiority of our proposed TKD-Net approach.

关键词： cross-domain few-shot learning meta-learning knowledge distillation multiple teachers

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Practically fixed-time adaptive consensus control for multiagent systems with prescribed performance

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Science China(Technological Sciences) 2024年第12期67卷 3867-3876页

作者： ZHENG ShuaiPeng MA Hui REN HongRu LI HongYi School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Controland Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative ControlGuangdong University of TechnologyGuangzhou 510006China School of Mathematics and Statistics Guangdong University of TechnologyGuangzhou 510006China College of Electronic and Information Engineering Southwest UniversityChongqing 400715China

In this paper,the fixed-time consensus tracking control problem of multiagent systems(MASs)subject to unknown nonlinearities and performance constraints is ***,an improved fixed-time performance function is designed,which enables the consensus tracking errors to converge to the preset region in fixed time,and alleviates the initial error conditions by setting the parameters ***,the unknown nonlinearities of MASs are approximated by the radial basis function neural network(RBF NN).Subsequently,a fixed-time prescribed performance controller is designed,which excludes the fractional power of tracking error to prevent potential singularity problems existing in stability ***,a fixed-time dynamic surface filter is formulated to eliminate the“explosion of complexity”issue,meanwhile,the filter errors are bounded in fixed *** the Lyapunov stability theory,it can be guaranteed that all signals in MASs exhibit practically fixed-time stability,and the consensus errors all approach a small region centered on origin within the prescribed ***,simulations are presented to verify the validity of the proposed control strategy.

关键词： dynamic surface filter fixed-time control multiagent systems(MASs) prescribed performance

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A Spatial Modes Filtering FETD Method for 3-D Periodic Structures

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Applied Computational Electromagnetics Society Journal 2025年第2期40卷 96-102页

作者： Wang, Yixin Wei, Bing Fan, Kaihang He, Xinbo Zhao, Sihan Department of Information Technology Shaanxi Police College Xi’an710021 China School of Physics Xidian University Xi’an710071 China School of Information and Communications Engineering Xi’an Jiaotong University Xi’an710049 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an710065 China

– A spatial modes filtering (SMF) finite-element time-domain (FETD) method with periodic boundary condition (PBC) is proposed for efficiently analyzing the electromagnetic characteristics of 3-D periodic structures with partial fine structures. The system matrices of FETD become asymmetrical because of the introduction of PBC, which prevents the system eigenvalue analysis. By decomposing the system matrix into PBC-independent and PBC-related parts, the unstable spatial modes under the given large time step can be found and removed from the symmetrical PBC-independent system matrices. Then the system matrix equation and time marching of the SMF-FETD and SMF-FETD method based on local eigenvalue solution (LES-SMF-FETD) with PBC are obtained. Numerical results illustrate the efficiency and effectiveness of the SMF-FETD method with PBC based on non-uniform mesh for analyzing the transport properties of 3-D periodic structures. © ACES.

关键词： Eigenvalues and eigenfunctions

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Operator Action Recognition Based on Improved ST-GCN 6

Operator Action Recognition Based on Improved ST-GCN

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6th International Conference on communications, information System and Computer engineering, CISCE 2024

作者： Fan, Longxin Sun, Hongbin School of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China School of Electrical Engineering Changchun Institute of Technology Changchun130012 China

ISBN: (纸本)9798350353174

With the rapid development of the electric power industry, the safety problems of the personnel working with electricity are becoming more and more prominent. Traditional solutions relying on manual methods perform poorly in ensuring safety and are in urgent need of updating and improvement. In recent years, the application of computer vision technology has provided new possibilities for improving safety standards, especially the important role of human skeletal dynamics in action recognition is becoming more and more prominent. In order to effectively solve the existing safety challenges of power-carrying operations, this paper proposes a power-carrying operation action recognition method based on ST-GCN (Spatio-Temporal Graph Convolutional Networks). The method combines a pose estimation algorithm and an action recognition algorithm to achieve the purpose of action recognition, in which the improved OpenPose algorithm is used for pose estimation to obtain the skeletal data, and then the ST-GCN is used for action recognition, in which a channel attention module CBAM (Convolutional Block Attention Module) is added for enhancement of action features. After experiments, it is confirmed that the spatio-temporal graph convolutional network method proposed in this paper shows excellent results in practical applications and effectively improves the safety and security level of the personnel working with electricity. © 2024 IEEE.

关键词： Musculoskeletal system

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Virtual Chip Design for the Digital Circuit Course 5

Virtual Chip Design for the Digital Circuit Course

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5th International Workshop on Artificial Intelligence and Education, WAIE 2023

作者： Zou, Deyue Zhao, Yangzhen Qiu, Yang Gao, Xinyi School of Information and Communication Engineering Dalian University of Technology Dalian China School of Electronic Information Engineering Zhuhai College of Science and Technology Zhuhai China

ISBN: (纸本)9798350307061

The design and implementation of digital systems are becoming increasingly complex, and the methods of language description and system design are widely used. The teaching of the undergraduate stage is still based on the basic functions and usage methods of medium-sized logic chips. When students design digital logic circuits, they are often limited by the hardware conditions of fixed chips. The teaching mode with typical chips as clues has been separated from the current technical reality, and there are characteristics of backward technology. This paper proposes a set of virtual chips with high flexibility and strong practicability. It is a computer program with high selectivity based on the hardware implementation of field programmable gate array (FPGA) pocket machine to complete the corresponding digital logic operation function. It is a comprehensive application of hardware language based on the theoretical knowledge of the digital circuit course. The comparative analysis is carried out from two aspects of practical operation and theoretical learning by applying the virtual chip cases to the digital circuit course. The designed virtual chip could effectively improve the students' comprehensive application ability of digital circuit knowledge and the design ability of the actual digital circuit system. It has a specific supporting role in improving the teaching quality of introductory courses of electronic information speciality and cultivating students' practical ability. © 2023 IEEE.

关键词： Digital circuits

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Integrated design and performance optimization of three-electrode sliding discharge plasma power supply

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Plasma Science and technology 2024年第11期26卷 152-161页

作者： Borui ZHENG Linwu WANG Jianbo ZHANG Shaojie QI Yuhong CHEN Haodong LIU Dongliang BIAN School of Automation and Information Engineering Xi’an University of TechnologyXi’an 710048People’s Republic of China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an 710048People’s Republic of China School of Mechanical and Precision Instrument Engineering Xi’an University of TechnologyXi’an 710048People’s Republic of China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038People’s Republic of China

The three-electrode sliding dielectric barrier discharge(TES-DBD) plasma actuator significantly enhances the ionization rate and momentum exchange between charged particles and neutral particles by incorporating a parallel DC electrode into the standard DBD design. This design improves the body force and induced jet velocity while allowing flexible control of the induced jet angle, overcoming the limitations of discharge extension and uncontrollable direction in traditional DBD plasma actuators. An integrated plasma power supply has been designed specifically for TES-DBD plasma actuators, streamlining the power supply management. The methodology involves designing the circuit topology for the TES-DBD power supply, followed by simulating and validating its operating principles using Multisim software. The operational performance of the power supply is evaluated through a comprehensive analysis of its electrical,thermal, and aerodynamic properties specific to TES-DBD plasma actuation.

关键词： plasma flow control dielectric barrier discharge three-electrode sliding discharge plasma power supply

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