This paper presents a multiband metamaterial (MM) absorber that displays the metamaterial characteristics at each resonance frequency. Broadband absorption is achieved in the X band at the range of 10.373 GHz to 10.82...
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作者:
Campos, Jonatan M.Cardoso, Daniel N.Raffo, Guilherme V.
Graduate Program in Electrical Engineering MG Belo Horizonte31270-901 Brazil Ufmg
Department of Electrical Engineering MG Belo Horizonte Brazil Ufmg
Department of Electronic Engineering MG Belo Horizonte Brazil
This work addresses the problem of adaptive control of Euler-Lagrange systems considering unknown parameters without the hypothesis that the persistence of excitation (PE) condition holds. A systematic framework to ob...
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The increasing need for reliable and efficient electrical interconnections between neighboring countries necessitates the adoption of advanced transmission technologies. This study examines cross-border grid interconn...
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Autonomous driving has been significantly advanced in todays society, which revolutionized daily routines and facilitated the development of the Internet of Vehicles (IoV). A crucial aspect of this system is understan...
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Autonomous driving has been significantly advanced in todays society, which revolutionized daily routines and facilitated the development of the Internet of Vehicles (IoV). A crucial aspect of this system is understanding traffic density to enable intelligent traffic management. With the rapid improvement in deep neural networks (DNNs), the accuracy of density estimation has markedly improved. However, there are two main issues that remain unsolved. Firstly, current DNN-based models are excessively heavy, characterized by an overwhelming number of training parameters (millions or even billions) and substantial computational complexity, indicated by a high number of FLOPs. These requirements for storage and computation severely limit the practical application of these models, especially on edge devices with limited capacity and computational power. Secondly, despite the superior performance of DNN models, their effectiveness largely depends on the availability of large-scale data for training. Growing privacy concerns have made individuals increasingly hesitant to allow their data to be publicly used for model training, particularly in vehicle-related applications that might reveal personal movements, which leads to data isolation issues. In this paper, we address these two problems at once with a systematic framework. Specifically, we introduce the Proxy Model Distributed Learning (PMDL) model for traffic density estimation. PMDL model is composed of two main components. First, we introduce a proxy model learning strategy that transfers fine-grained knowledge from a larger master model to a lightweight proxy model, i.e., a proxy model. Second, we design a distributed learning strategy that trains multiple proxy models with privacy-aware local data and seamlessly aggregates these models via a global parameter server. This ensures privacy protection while significantly improving estimation performance compared to training models with limited, isolated data. We tested
The article discusses the challenges related to voltage and power management in automated intelligent photovoltaic (PV) systems. It suggests that Fractional Order Proportional Integral Derivative (FOPID) controllers c...
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Nickel is typically used as one of the main components in electrical contact devices or *** oxide(NiO)is usually formed on the surfaces of electrodes and can negatively impact system performance by introducing electri...
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Nickel is typically used as one of the main components in electrical contact devices or *** oxide(NiO)is usually formed on the surfaces of electrodes and can negatively impact system performance by introducing electrical contact *** thermal,electrical,and transport properties of NiO,as a Mott insulator or a p-type semiconductor,can be altered by operating and environmental conditions such as temperature and stress/strain by *** this study,we inves-tigate the fundamental material properties of NiO through the first-principle ***,we obtain and compare the lattice parameter,magnetic moment,and electronic structure for NiO via the WIEN2K simulations with four different poten-tials(i.e.,GGA,GGA+U,LSDA,and LSDA+U).Then,using the WIEN2K simulation results with LSDA+U potential that produces a highly accurate bandgap for NiO,we calculate the electrical conductivity and electrical part of the thermal conductivity of nickel and NiO as a function of temperature and carrier concentration through the BoltzTraP *** simulation results revealed that the electrical conductivity relative to the relaxation time for NiO increases with the carrier concentration,while it shows a slightly decreasing trend with temperature under a fixed carrier *** contrast,the electrical part of the thermal conductivity shows an increasing trend considering carrier concentration and temperature.
Safety is critical to a wide range of cyber-physical systems (CPS). Safety violations may damage CPS and cause harm to humans that co-exist in the operating environment. However, it is nontrivial to guarantee safety o...
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This study deals with the coordination of surge protection devices (SPD) in photovoltaic systems (PV). A PV farm model was developed in MATLAB Simulink with all the main components, solar panels, converter, grounding ...
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Silicone rubber composite is a priority electrical insulating material used in high-voltage outdoor insulation *** electrical tracking/erosion and poor flame resistance performance of silicone rubber once ignited,subs...
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Silicone rubber composite is a priority electrical insulating material used in high-voltage outdoor insulation *** electrical tracking/erosion and poor flame resistance performance of silicone rubber once ignited,substantially reduce its working *** paper attempts to investigate tracking/erosion performance of room temperature vulcanized(RTV)silicone rubber along with flame retardant parameters using aluminum trihydrate(ATH),graphene nanosheets(GN)and milled glass fiber(GF)*** inclined plane test(IPT)was performed in line with criteria defined in IEC 60587 using step-up tracking voltage method while flame retardancy is evaluated according to ASTM E 1354.0 using a cone *** suggest 30% of ATH assists in improving physical tracking/erosion resistance of pristine silicone elastomer rubber by impeding development of leakage current and a great reduction in maximum average temperatures on the surface of *** improvement in performance of RTV2 is achieved through introduction of 1%of GN and 5% of GF as seen in ***,30% of ATH reduces heat release rate and smoke production rate,and this trend is improved with the introduction of GN/***4 has pop up as the most promising silicone rubber composite with excellent electrical tracking,erosion,and flame resistance performance relative to its counterparts in this study.
High-speed permanent magnet(PM)electric machines are widely ***,their extreme operating conditions,e.g.,high temperature and high mechanical stress,lead to variations of the PM characteristics and affect the machine *...
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High-speed permanent magnet(PM)electric machines are widely ***,their extreme operating conditions,e.g.,high temperature and high mechanical stress,lead to variations of the PM characteristics and affect the machine *** the present study,an experimental device is designed to test the PM characteristics by simulating the stress and temperature conditions of high-speed *** experimental results indicate that the PM remanence not only varies at high temperatures,which is well known,but also changes under high mechanical *** is shown that the PM remanence increases with the mechanical stress but decreases with the temperature ***,a new demagnetization-curve model of the magnets under multiple stresses is refined to better express the PM *** performance of a high-speed PM machine is then analyzed as an example to indicate the necessity of the model *** effects of the temperature and mechanical stress on the conductivity of the PMs are also *** experimental results indicate that the conductivity of the PM increases with the temperature and pressure.
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