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Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control

China Communications 2023年第7期20卷 137-174页

作者： Musbahu Mohammed Adam Liqiang Zhao Kezhi Wang Zhu Han State Key Laboratory of Integrated Service Networks Xidian UniversityXi’an 710071China Department of Computer and Information Sciences Northumbria UniversityNewcastle upon TyneUK Department of Electrical and Computer Engineering University of HoustonHoustonTX 77004 USAand also with the Department of Computer Science and EngineeringKyung Hee UniversitySeoul 02447 South Korea

In recent years,the exponential proliferation of smart devices with their intelligent applications poses severe challenges on conventional cellular *** challenges can be potentially overcome by integrating communication,computing,caching,and control(i4C)*** this survey,we first give a snapshot of different aspects of the i4C,comprising background,motivation,leading technological enablers,potential applications,and use ***,we describe different models of communication,computing,caching,and control(4C)to lay the foundation of the integration *** review current stateof-the-art research efforts related to the i4C,focusing on recent trends of both conventional and artificial intelligence(AI)-based integration *** also highlight the need for intelligence in resources ***,we discuss the integration of sensing and communication(ISAC)and classify the integration approaches into various ***,we propose open challenges and present future research directions for beyond 5G networks,such as 6G.

关键词： 4C 6G integration of communication,computing,caching,and control i4C multi-access edge computing(MEC)

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Structure-aware graph neural network based deep transfer learning framework for enhanced predictive analytics on diverse materials datasets

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npj Computational Materials 2024年第1期10卷 3237-3247页

作者： Vishu Gupta Kamal Choudhary Brian DeCost Francesca Tavazza Carelyn Campbell Wei-keng Liao Alok Choudhary Ankit Agrawal Department of Electrical and Computer Engineering Northwestern UniversityEvanstonILUSA Material Measurement Laboratory National Institute of Standards and TechnologyGaithersburgMD 20899USA DeepMaterials LLC Silver SpringMD 20906USA

Modern data mining methods have demonstrated effectiveness in comprehending and predicting materials *** essential component in the process of materials discovery is to know which material(s)will possess desirable *** many materials properties,performing experiments and density functional theory computations are costly and ***,it is challenging to build accurate predictive models for such properties using conventional data mining methods due to the small amount of available *** we present a framework for materials property prediction tasks using structure information that leverages graph neural network-based architecture along with deep-transfer-learning techniques to drastically improve the model’s predictive ability on diverse materials(3D/2D,inorganic/organic,computational/experimental)*** evaluated the proposed framework in cross-property and cross-materials class scenarios using 115 datasets to find that transfer learning models outperform the models trained from scratch in 104 cases,i.e.,≈90%,with additional benefits in performance for extrapolation *** believe the proposed framework can be widely useful in accelerating materials discovery in materials science.

关键词： neural network transfer

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Broadband Impedance Matching for Wearable Magnetoinductive Waveguides

Broadband Impedance Matching for Wearable Magnetoinductive W...

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2025 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2025

作者： Jenkins, Connor Kiourti, Asimina ElectroScience Laboratory Department of Electrical and Computer Engineering The Ohio State University ColumbusOH43212 United States

ISBN: (纸本)9781946815200

Magnetoinductive Waveguides (MIWs) consist of coupled electrically small resonant elements that support the propagation of magnetoinductive waves. By exciting current on an element, a magnetic field is formed, leading to the generation of current on neighboring elements via Faraday's Law. This pattern continues to form a traveling wave. MIWs have been used in wireless power transfer applications, sub-wavelength imaging setups, and as data communication media for applications such as Magnetic Resonance Imaging (MRI) or in challenging Radio-Frequency (RF) environments such as underground, underwater or on the body. In particular, our previous work has focused on their application to wireless body area networks (WBANs) that seamlessly interconnect wearable devices and sensors. © 2025 USNC-URSI.

关键词： Inductive power transmission

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Frequency multiplexed photothermal correlation tomography for non-destructive evaluation of manufactured materials

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International Journal of Extreme Manufacturing 2025年第3期7卷 533-546页

作者： Pengfei Zhu Rongbang Wang Koneswaran Sivagurunathan Stefano Sfarra Fabrizio Sarasini Clemente Ibarra-Castanedo Xavier Maldague Hai Zhang Andreas Mandelis Department of Electrical and Computer Engineering Computer Vision and Systems Laboratory(CVSL)Laval UniversityQuebec G1V 0A6Canada Centre for Composite Materials and Structures(CCMS) Harbin Institute of TechnologyHarbin 150001People’s Republic of China Center for Advanced Diffusion-Wave and Photoacoustic Technologies(CADIPT)and Institute for Advanced Non-Destructive and Non-Invasive Diagnostic Technologies(IANDIT) Department of Mechanical and Industrial EngineeringUniversity of TorontoTorontoCanada Department of Industrial and Information Engineering and Economics(DIIIE) University of L’AquilaI-67100 L’Aquila(AQ)Italy Department of Chemical Engineering Materials Environment&UDR INSTM Sapienza University of RomeRome I-00184Italy

Infrared thermography has been widely applied in real industrial inspection of aerospace,energy management systems,engines,and electric ***,two-dimensional imaging modality limits its ***,a technique named frequency multiplexed photothermal correlation tomography(FM-PCT)was developed to enable non-destructive and contactless cross-sectional imaging for manufactured material evaluation and *** combining advantages of photothermal tomography and pulsed thermography,FM-PCT facilitates the generation of three-dimensional thermal images through temporal superposition(stacking)of two-dimensional images from sequential subsurface ***-PCT image processing involves pulsed excitation signals to which frequency delay and matched filtering techniques are *** features of FM-PCT are high-resolution three-dimensional tomographic imaging under low camera frame-rate conditions with self-correcting capability for diffusion(blurring)correction of subsurface images due to cross-correlation processing of individual frequencies in the Fourier decomposition spectrum of the excitation ***,FM-PCT extends truncated-correlation photothermal coherence tomography from chirp and pulsed signals to more general linear heating ***-in thermography and x-ray computed tomography validation demonstrate that 3D FM-PCT imaging accurately reveals subsurface discontinuities/defects in solids despite the diffusive nature of thermal-wave imaging.

关键词： photothermal coherence tomography nondestructive evaluation infrared thermography impact damage

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Grid-Forming Inverters for Enhancing Stability and Resilience in Distribution Networks under Transients and Restoration

Grid-Forming Inverters for Enhancing Stability and Resilienc...

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2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024

作者： Selim, Alaa Zhao, Junbo Seo, Gab-Su Ding, Fei Cui, Bai University of Connecticut Department of Electrical and Computer Engineering United States National Renewable Energy Laboratory Power Systems Engineering Center GoldenCO80401 United States Iowa State University Department of Electrical and Computer Engineering United States

ISBN: (纸本)9798350313604

The increasing integration of distributed energy resources in distribution networks has significantly reduced system inertia, posing challenges to grid stability during transient events, such as Cold Load Pickup (CLPU). This paper proposes the implementation of grid-forming inverters (GFMs) to enhance the stability of low-inertia distribution systems. The paper also investigates the performance of the GFM-based approach in maintaining voltage profiles along the distribution feeder, especially during CLPU scenarios without synchronous machines. A comparison is made between the GFM-based system and the conventional synchronous machine setup. The synchronous machine is chosen as a reference point for evaluating the effectiveness of the GFM-based approach. The GFM-based system's performance is assessed under various challenging scenarios, including short-circuit faults, islanding, and a combination of these through extensive simulations. The results demonstrate the potential of GFMs to stabilize a distribution system and outperform the traditional rigid synchronous machine during transient events. © 2024 IEEE.

关键词： Electric power distribution

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Real-Time Economic Dispatch Approach for Wholesale Energy Market with Multi-Transmission-Node der Aggregation

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IEEE Transactions on Power systems 2024年第4期40卷 3185-3197页

作者： Shao, Zhentong Wang, Weilun Eldridge, Brent Somani, Abhishek Wu, Lei Stevens Institute of Technology Department of Electrical and Computer Engineering HobokenNJ07030 United States Pacific Northwest National Laboratory RichlandWA99354 United States

Enabling the integration of distributed energy resources (DERs) into the wholesale market, as prompted by the FERC Order 2222, introduces substantial operational complexities. To align with the current wholesale energy market practice, regional transmission organizations (RTOs) are pursuing the aggregation of transmission-node-level DERs (T-DERs), in which each T-DER is a projected representation of all DERs in the distribution network underneath the transmission node, such as a virtual power plant (VPP). This paper advances a realtime economic dispatch (RTED) framework to facilitate the aggregation of multiple T-DERs, optimizing their participation in energy market operations. We enhance the distribution factors (DFs) based modeling to capture the impact of individual TDERs across the transmission network. Specifically, an innovative DF updating strategy is introduced in our methodology, incorporating a tailored K-Nearest Neighbors (KNN) predictor and a discrete PI corrector, along with transmission signals that sufficiently guarantee transmission constraints. These enhancements optimize the economic efficiency of the market clearing process, allowing numerous T-DERs to be involved in current energy market practices. The proposed method is tested on modified 24-bus and 118-bus systems via a rolling RTED process with real load data. The test results show that the proposed framework demonstrates marked improvements in minimizing system operation costs and satisfying the transmission network constraints. © 1969-2012 IEEE.

关键词： Distributed energy

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Solution to Coordination of Transmission and Distribution for Renewable Energy Integration into Power Grids:An Integrated Flexibility Market

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CSEE Journal of Power and Energy systems 2023年第2期9卷 444-458页

作者： Tao Jiang Zhongwei Shen Xiaolong Jin Rufeng Zhang Alessandra Parisio Xue Li Xiao Kou Department of Electrical Engineering Northeast Electric Power UniversityJilin 132012China Key Laboratory of Smart Grid of Ministry of Education Key Laboratory of Smart Energy&Information Technology of Tianjin MunicipalityTianjin UniversityTianjin 300072China Department of Electrical and Electronic Engineering The University of ManchesterManchesterUK Department of Electrical Engineering and Computer Science University of TennesseeKnoxvilleTN37996USA.

Nowadays,transmission system operators(TSOs)encounter the challenges of securely operating power grids with high penetration of *** this context,more flexibility is needed than ever to maintain system *** rapid development of coordinated transmission and distribution technology recently,active distribution networks(ADNs)which have abundant flexible resources,have the potential to provide flexibility to the ***,an integrated transmission-distribution flexibility market is proposed in this *** the proposed framework,the energy market is first cleared to obtain baseline generation *** the baseline generation schedules are treated as inputs to the flexibility ***,the integrated flexibility market is cleared to facilitate flexibility trading between transmission and distribution *** preserve the data privacy of different market participants,an alternating direction method of multipliers(ADMM)based method is utilized to clear the markets in a distributed *** the energy market and flexibility market-clearing model,transmission network market clearing models are linear programming(LP)models,and distribution network market clearing models are second order cone programming(SOCP)*** the proposed method,only limited information is exchanged between TSO and *** studies are conducted on a revised IEEE 30-bus transmission network with two 33-node *** results demonstrate the proposed flexibility market framework can enhance competitiveness of generation companies in the transmission network and distributed generators(DGs)in the ***,flexibility purchasing cost is reduced by 17.7%compared to traditional flexibility supplied by generators according to the case study results,and ADNs can gain additional flexibility profit by providing flexibility.

关键词： ADMM ADN energy market flexibility market TSO-DSO coordination

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Transformer Internal and Inrush Current Fault Detection Using Machine Learning

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Intelligent Automation & Soft Computing 2023年第4期36卷 153-168页

作者： R.Vidhya P.Vanaja Ranjan N.R.Shanker Department of Electronics and Communication Engineering Loyola-ICAM College of Engineering and TechnologyChennai600034India Embedded System Technologies Department of Electrical and Electronics EngineeringCollege of EngineeringGuindyChennai 600025India Department of Computer Science and Engineering Aalim Muhammed Salegh College of EngineeringChennai 600055India

Preventive maintenance in the transformer is performed through a dif-ferential relay protection system,and it protects the transformer from internal and external ***,the Current Transformer(CT)in the differential protec-tion system mal-operates during inrush *** saturates due to magnetizing inrush currents and causes false tripping of the differential ***,iden-tiﬁcation of tripping in protection relay either due to inrush current or internal faults needs to be *** the above problem,continuous monitoring of transformer breather and CT terminals with thermal camera helps detect the trip-ping in relay due to inrush or internal *** transformer’s internal fault leads to high breathing process in the transformer breather,never for inrush *** inrush currents,CT temperature is *** monitoring of breather and CT of the transformer through thermal imaging and radiometric pix-els detect the causes of CT saturation and differentiates *** wavelet threshold image analytics(HWT-IA)based radiometric pixels analysis of the transformer breather and CT after de-noising provides an accurate result of about 95%for identiﬁcation of the false tripping of differential protection system of transformer.

关键词： Wavelet threshold inrush transformer breather current transformer thermal image

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Improved MPPT algorithm: Artificial neural network trained by an enhanced Gauss-Newton method

AIMS Electronics and Electrical Engineering

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AIMS Electronics and electrical engineering 2023年第4期7卷 380-405页

作者： Dkhichi, Fayrouz Laboratory of Networks Computer Science Telecommunications & Multimedia Electrical Engineering Department Superior School of Technology Hassan II University of Casablanca Morocco

A novel approach defined by the artificial neural network (ANN) model trained by the improved Gauss-Newton in conjunction with a simulated annealing technique is used to control a step-up converter. To elucidate the superiority of this innovative method and to show its high precision and speed in achieving the right value of the Maximum Power Point (MPP), a set of three comparative Maximum Power Point Tracker (MPPT) methods (Perturbation and observation, ANN and ANN associated with perturbation and observation) are exanimated judiciously. The behavior of these methods is observed and tested for a fixed temperature and irradiance. As a result, the proposed approach quickly tracks the right MPP = 18.59 W in just 0.04382 s. On the other hand, the outstanding ability of the suggested method is demonstrated by varying the irradiance values (200 W/m , 300 W/m , 700 W/m , 1000 W/m , 800 W/m and 400 W/m ) and by varying the temperature values (15°C, 35°C, 45°C and 5°C). Therefore, the ANN trained by Gauss-Newton in conjunction with simulated annealing shows a high robustness and achieves the correct value of MPP for each value of irradiance with an efficiency 99.54% and for each value of temperature with an efficiency 99.98%;the three other methods sometimes struggle to achieve the right MPP for certain irradiance values and often remains stuck in its surroundings. © 2023 The Author(s).

关键词： Maximum power point trackers

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Particle Trajectory Error in Finite Element Particle-in-Cell Kinetic Plasma Simulations

Particle Trajectory Error in Finite Element Particle-in-Cell...

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2024 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2024

作者： Saleh, Haitham Teixeira, Fernando L. ElectroScience Laboratory Department of Electrical and Computer Engineering Ohio State University ColumbusOH United States

ISBN: (纸本)9781946815194

Particle-In-Cell (PIC) algorithms are widely used for kinetic plasma simulations. In PIC algorithms, it’s crucial to understand the resultant approximation errors due to the underlying space and time field discretization. Here, we examine the error in particle trajectories produced by a finite-element (FE) based PIC algorithm on unstructured meshes. We study the convergence of such error against two basic parameters: the FE mesh resolution and the matrix solver approximation. © 2024 IEEE. All rights reserved.

关键词： Finite element harmonic oscillator kinetic plasma particle-in-cell sparse approximate inverse unstructured mesh

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