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SEFormer:A Lightweight CNN-Transformer Based on Separable Multiscale Depthwise Convolution and Efficient Self-Attention for Rotating Machinery Fault Diagnosis

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computers, Materials & Continua 2025年第1期82卷 1417-1437页

作者： Hongxing Wang Xilai Ju Hua Zhu Huafeng Li State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing210016China School of Computer Science and Engineering Nanyang Technological UniversitySingapore639798Singapore

Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain ***,deep learning techniques have gained prominence as a central focus of research in the field of fault diagnosis by strong fault feature extraction ability and end-to-end fault diagnosis ***,utilizing the respective advantages of convolution neural network(CNN)and Transformer in local and global feature extraction,research on cooperating the two have demonstrated promise in the field of fault ***,the cross-channel convolution mechanism in CNN and the self-attention calculations in Transformer contribute to excessive complexity in the cooperative *** complexity results in high computational costs and limited industrial *** tackle the above challenges,this paper proposes a lightweight CNN-Transformer named as SEFormer for rotating machinery fault ***,a separable multiscale depthwise convolution block is designed to extract and integrate multiscale feature information from different channel dimensions of vibration ***,an efficient self-attention block is developed to capture critical fine-grained features of the signal from a global ***,experimental results on the planetary gearbox dataset and themotor roller bearing dataset prove that the proposed framework can balance the advantages of robustness,generalization and lightweight compared to recent state-of-the-art fault diagnosis models based on CNN and *** study presents a feasible strategy for developing a lightweight rotating machinery fault diagnosis framework aimed at economical deployment.

关键词： CNN-Transformer separable multiscale depthwise convolution efficient self-attention fault diagnosis

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New Delay Doppler Communication Paradigm in 6G Era:A Survey of Orthogonal Time Frequency Space(OTFS)

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China Communications 2023年第6期20卷 1-25页

作者： Weijie Yuan Shuangyang Li Zhiqiang Wei Yuanhao Cui Jiamo Jiang Haijun Zhang Pingzhi Fan Department of Electronic and Electrical Engineering Southern University of Science and TechnologyShenzhenChina Faculty of Electrical Engineering and Computer Science Technical University of BerlinBerlinGermany School of Mathematics and Statistics Xi’an Jiaotong UniversityXi’anChina Department of Communication Engineering Beijing University of Posts and TelecommunicationsBeijingChina China Academy of Information and Communications Technology BeijingChina School of Computer and Communication Engineering University of Science and Technology BeijingBeijingChina School of Information Science and Technology Southwest Jiaotong UniversityChengduChina

In the 6G era,Space-Air-Ground Integrated Network(SAGIN)are anticipated to deliver global coverage,necessitating support for a diverse array of emerging applications in high-mobility,hostile *** such conditions,conventional orthogonal frequency division multiplexing(OFDM)modulation,widely employed in cellular and Wi-Fi communication systems,experiences performance degradation due to significant Doppler *** overcome this obstacle,a novel twodimensional(2D)modulation approach,namely orthogonal time frequency space(OTFS),has emerged as a key enabler for future high-mobility use ***,OTFS modulates information within the delay-Doppler(DD)domain,as opposed to the timefrequency(TF)domain utilized by *** offers advantages such as Doppler and delay resilience,reduced signaling latency,a lower peak-to-average ratio(PAPR),and a reduced-complexity *** studies further indicate that the direct interplay between information and the physical world in the DD domain positions OTFS as a promising waveform for achieving integrated sensing and communications(ISAC).In this article,we present an in-depth review of OTFS technology in the context of the 6G era,encompassing fundamentals,recent advancements,and future *** objective is to provide a helpful resource for researchers engaged in the field of OTFS.

关键词： OTFS 6G delay-Doppler(DD)domain

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Cybertwin Based Cloud Native Networks

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Journal of Communications and Information Networks 2023年第3期8卷 187-202页

作者： Quan Yu Dandan Liang Meng Qin Jiacheng Chen Haibo Zhou Jing Ren Ying Li Jun Wu Yue Gao Wei Zhang Peng Cheng Laboratory Shenzhen 518055China School of Electronic Science and Engineering Nanjing UniversityNanjing 210008China School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611730China School of Computer Science Fudan UniversityShanghai 200433China School of Electrical Engineering and Telecommunications University of New South WalesSydney 2052Australia

With the emerging applications of the Internet of things,artificial intelligence,and satellite communications,the future network will be featured as the Internet of everything around the *** network heterogeneity,applications cloudification,and personalized user services demand a revolutionary change in the network *** the rapid development of cloud native technology,the new network should support heterogeneous networks and personalized quality of services for *** this paper,we propose a Cybertwinbased cloud native network(CCNN)that merges the radio access network(RAN),the IP bearer network,and the data center network and is based on the cloud native data center network using Kubernetes as a network operating system for unified virtualization of computing,storage,and network resources,unified scheduling and allocation,and unified operation and ***,we propose a fully decoupled RAN architecture that can flexibly and efficiently utilize the resource for personlized user *** also propose a Cybertwin-based management framework built on Kubernetes for integrated networking,computing and storage resource ***,we design an immunology-inspired intrinsic security architecture with zero trust security system and adaptive defense *** proposed CCNN is a new network architecture expected to address future generation communications and networks challenges.

关键词： 6G network architecture Cybertwin cloud native network security

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Fully Explicit Dynamic Gaussian Splatting 38

Fully Explicit Dynamic Gaussian Splatting

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38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Lee, Junoh Won, Changyeon Jung, Hyunjun Bae, Inhwan Jeon, Hae-Gon School of Electrical Engineering and Computer Science Korea Republic of AI Graduate School Gwangju Institute of Science and Technology Korea Republic of

3D Gaussian Splatting has shown fast and high-quality rendering results in static scenes by leveraging dense 3D prior and explicit representations. Unfortunately, the benefits of the prior and representation do not involve novel view synthesis for dynamic motions. Ironically, this is because the main barrier is the reliance on them, which requires increasing training and rendering times to account for dynamic motions. In this paper, we design Explicit 4D Gaussian Splatting (Ex4DGS). Our key idea is to firstly separate static and dynamic Gaussians during training, and to explicitly sample positions and rotations of the dynamic Gaussians at sparse timestamps. The sampled positions and rotations are then interpolated to represent both spatially and temporally continuous motions of objects in dynamic scenes as well as reducing computational cost. Additionally, we introduce a progressive training scheme and a point-backtracking technique that improves Ex4DGS's convergence. We initially train Ex4DGS using short timestamps and progressively extend timestamps, which makes it work well with a few point clouds. The point-backtracking is used to quantify the cumulative error of each Gaussian over time, enabling the detection and removal of erroneous Gaussians in dynamic scenes. Comprehensive experiments on various scenes demonstrate the state-of-the-art rendering quality from our method, achieving fast rendering of 62 fps on a single 2080Ti GPU. © 2024 Neural information processing systems foundation. All rights reserved.

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Simultaneous improving luminescence intensity and stability of CsPbBr_(3):SCN−@Eu/Zr-Uio-66-NH_(2) with tunable emissions from blue to green and applications in indoor photovoltaics

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Nano Research 2024年第8期17卷 6879-6887页

作者： Minze Li Yao Sun Honglai Lu Peifen Zhu Ruihong Wang Guofeng Wang Key Laboratory of Functional Inorganic Material Chemistry Ministry of EducationSchool of Chemistry and Materials ScienceHeilongjiang UniversityHarbin 150080China Department of Electrical Engineering and Computer Science University of MissouriColumbiaMO 65211USA

The construction of stable and efficient materials that emit blue and green light remains a *** the blue light materials reported,metal-organic framework(MOF)materials are rarely reported as blue phosphors due to their weak luminescence *** on the construction of CsPbBr_(3)@MOF(CPB@MOF),an innovative idea was proposed to simultaneously enhance the green luminescence of CPB and the blue luminescence of MOF through the interaction between CPB and MOF for the first *** expected,the blue luminescence from CPB:7%SCN−@0.5%MOF:Eu as well as the green luminescence from 5%CPB:7%SCN−@MOF:Eu was sufficient to construct high-performance light-emitting diode(LED)devices and further excite solar cells to generate stable photoelectric *** white LED(WLED)device with excellent color quality(color rendering index(CRI)=96.2)and correlated color temperature(CCT=9688 K)can be constructed by using the obtained blue-emitting CPB:7%SCN-@0.5%MOF:Eu,green-emitting 5%CPB:7%SCN−@MOF:Eu,and red-emitting PPB:30%Mn^(2+).The density functional theory(DFT)theoretical calculation results indicate that the p orbital of Pb plays the major role in the conduction band,and the p orbital of Br plays the major role in the valance band of CPB and CPB:SCN−.While the p orbital of O plays the major role in both the conduction band and valance band of *** heat capacity of CPB and CPB:SCN−separately reaches the Dulong–Petit limit at 200 and 400 K,indicating that the thermal stability of CsPbBr_(3)increases after SCN−doping.

关键词： CsPbBr_(3):SCN−@Uio-66-NH_(2) composites luminescence stability white light-emitting diodes(WLEDs) indoor photovoltaics density functional theory(DFT)calculation

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Particle swarm optimisation of variable offset dual cross-limit combustion control strategies for the industrial boiler combustion 4

Particle swarm optimisation of variable offset dual cross-li...

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2024 4th International Conference on Power System and Energy Internet, PoSEI 2024

作者： Liu, Bao Wang, Guanrong Wang, Zaiying School of Electrical and Control Engineering Xi'An University of Science and Technology Shaanxi Xi'an710054 China

This paper proposes an optimal control method for industrial boilers using particle swarm optimisation (PSO) algorithms to enhance the variable offset control technique. The method targets challenges such as suboptimal combustion air coefficients and prolonged system steam pressure stabilisation time during boiler production processes. By optimising the offset function and parameters in the variable offset dual cross-limit combustion control scheme, this paper aims to refine the combustion control model. Experimental results indicate that this improved PSO-based approach successfully maintains flue gas oxygen content within optimal combustion ranges under variable load conditions. These results ensure higher combustion efficiency and contribute to the reduction of environmental pollution, thus verifying the effectiveness of the optimised control system in practical applications. © Published under licence by IOP Publishing Ltd.

关键词： Particle swarm optimization (PSO)

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controllable Slotted SIW for Fixed-Frequency Planar Beam-Scanning Antenna 7

Controllable Slotted SIW for Fixed-Frequency Planar Beam-Sca...

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7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Wang, Shiquan Chung, Kwok L. Liu, Xiaotian Wu, Zhipan Li, Caiying Pei, Yingqi Nanyang Technological University School of Electrical and Electronic Engineering Singapore639798 Singapore Huizhou University School of Computer Science and Engineering 516007 China

ISBN: (纸本)9798350384437

This paper introduces a planar fixed-frequency beam-scanning antenna using a controllable slotted substrate integrated waveguide (SIW). The controllable SIW incorporates subwavelength slots and varactor diodes to enable dynamic adjustment of leaky-wave radiation characteristics. By electronically modifying the varactor diode capacitance, the antenna continuously steers the main beam at a fixed frequency. The antenna design features a simple structure and low profile, making it suitable for various radar and communication applications. Simulated results demonstrate the antenna's ability to achieve continuous beam-scanning at a fixed working frequency. The proposed antenna offers flexibility in beam direction adjustments independent of frequency changes, highlighting its practicality and adaptability in real-world scenarios. © 2024 IEEE.

关键词： Scanning antennas

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Task Priority Oriented Joint Compliance control for Biped Robots 6

Task Priority Oriented Joint Compliance Control for Biped Ro...

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6th International Conference on Frontier Technologies of Information and computer, ICFTIC 2024

作者： Dong, Sheng Fan, Feihu Shaanxi University of Science and Technology School of Electrical and Control Engineering Shaanxi Xi'an710021 China

ISBN: (纸本)9798331541750

This paper designs a joint motion controller for stable movement of humanoid biped robots,integrating Multi-Priority Inverse Kinematics (MPIK) and Multi-Priority Dynamic control (MPDC). MPIK utilizes a numerical iterative algorithm to compute joint position commands,while MPDC implements control based on a task space dynamic model through an iterative optimization method for multiple priorities along the forward path. This approach avoids the need for pre-allocating or optimizing contact forces and does not directly control the center of mass movement,striving to achieve high-priority tasks. Ultimately,we establish a stable joint compliance force control framework and ensure that the force control system can achieve precise position tracking by incorporating kinematic error information. © 2024 IEEE.

关键词： Inverse kinematics

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Privacy-Preserving Multi-Keyword Fuzzy Adjacency Search Strategy for Encrypted Graph in Cloud Environment

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computers, Materials & Continua 2024年第3期78卷 3177-3194页

作者： Bin Wu Xianyi Chen Jinzhou Huang Caicai Zhang Jing Wang Jing Yu Zhiqiang Zhao Zhuolin Mei School of Computer and Big Data Science Jiujiang UniversityJiujiang332005China Jiujiang Key Laboratory of Network and Information Security Jiujiang332005China School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China School of Computer Engineering Hubei University of Arts and ScienceXiangyang441053China School of Modern Information Technology Zhejiang Institute of Mechanical and Electrical EngineeringHangzhou310053China Information Center Jiangxi Changjiang Chemical Co.Ltd.Jiujiang332005China School of Mathematics and Computer Science Ningxia Normal UniversityGuyuan756099China

In a cloud environment,outsourced graph data is widely used in companies,enterprises,medical institutions,and so *** owners and users can save costs and improve efficiency by storing large amounts of graph data on cloud *** on cloud platforms usually have some subjective or objective attacks,which make the outsourced graph data in an insecure *** issue of privacy data protection has become an important obstacle to data sharing and *** to query outsourcing graph data safely and effectively has become the focus of *** query is a basic and frequently used operation in graph,and it will effectively promote the query range and query ability if multi-keyword fuzzy search can be supported at the same *** work proposes to protect the privacy information of outsourcing graph data by encryption,mainly studies the problem of multi-keyword fuzzy adjacency query,and puts forward a *** our scheme,we use the Bloom filter and encryption mechanism to build a secure index and query token,and adjacency queries are implemented through indexes and query tokens on the cloud *** proposed scheme is proved by formal analysis,and the performance and effectiveness of the scheme are illustrated by experimental *** research results of this work will provide solid theoretical and technical support for the further popularization and application of encrypted graph data processing technology.

关键词： Privacy-preserving adjacency query multi-keyword fuzzy search encrypted graph

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Reinforcement learning-Tuned robust nonlinear controller for enhanced EV charger control 25

Reinforcement learning-Tuned robust nonlinear controller for...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Zar, Abu Nawazish Ali, S.M. Jalili, Mahdi School of Electrical Engineering and Computer Science National University of Sciences and Technology IslamabadH-12 Pakistan School of Electrical Engineering RMIT University Victoria3001 Australia

In response to the escalating impact of the greenhouse effect on Earth's climate, electric vehicles (EVs) have emerged as a pivotal solution for sustainable transportation. This research addresses a critical challenge to the widespread EV adoption, focusing on the efficient integration of EV chargers with existing electricity grids. A novel robust 'Terminal Conditioned Super-Twisting Sliding Mode controller' (TC-ST-SMC) is proposed for the control of the power flow in bidirectional EV charging modes from grid to vehicle (G2V) and vehicle to grid (V2G). The novel contribution lies in tuning these controllers using a reinforcement learning (RL) based Deep Q-Network (DQN) agent. The global asymptotic stability of the proposed mathematical framework is validated using Lyapunov stability criteria which presents a significant step forward in achieving efficient and robust control for EV chargers. The proposed mathematical model of EV charger and its controller design underwent tuning and simulation in MATLAB/Simulink® (2023b) environment. Finally, hardware-in-loop (HIL) based experimental results verify the proposed framework and its realtime control. © 2024 IEEE.

关键词： Sliding mode control

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