DC fast charging is a key enabler for removing barriers to the widespread adoption of electric vehicles (EVs), offering rapid recharging solutions that alleviate range anxiety. However, at capacity-constrained fast ch...
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Vision Transformers (ViTs) have gained significant attention in computer vision due to their exceptional model capa-bilities. However, most ViT models suffer from high complexity, with a large number of parameters tha...
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Point of common coupling(PCC)arrays are the most prominent and widely-used intermittent distributed generations(DGs).Due to the right-of-way,environmental,economical and other restrictions,the connection of these type...
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Point of common coupling(PCC)arrays are the most prominent and widely-used intermittent distributed generations(DGs).Due to the right-of-way,environmental,economical and other restrictions,the connection of these types of DGs to the preferred point of the distribution network is very difficult or impossible in some ***,because of non-optimal locations,they may cause a voltage rise at the *** this paper,a coordinated design of switchable capacitor banks(SCBs)with dynamic reconfiguration of the distribution network is proposed to avoid low-and high-voltage *** distribution network reconfiguration is implemented to mitigate the voltage rise at PCCs and capacitor banks(CBs)to solve the low-voltage problem.A novel method is presented for determining the optimal size of *** proposed capacitor sizing method(CSM)effectively determines the optimal values of reactive power for the given *** optimal locations of SCB are determined using particle swarm optimization *** 24-hour reactive power curve optimized by the proposed method plays a pivotal role in designing *** simulation results show that the implementation of the dynamic network reconfiguration and the placement of SCB is required to maintain a standard voltage profile for better employment of DG embedded distribution networks.
Nonlinear oscillations in micro-and nanoelectromechanical systems have emerged as an exciting research area in recent years due to their promise in realizing low-power,scalable,and reconfigurable mechanical memory and...
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Nonlinear oscillations in micro-and nanoelectromechanical systems have emerged as an exciting research area in recent years due to their promise in realizing low-power,scalable,and reconfigurable mechanical memory and logic ***,we report ultralow-power mechanical memory operations utilizing the nonlinear oscillation regime of GaN microcantilevers with embedded piezotransistive AlGaN/GaN heterostructure field effect transistors as highly sensitive deflection *** between the high and low oscillatory states of the nonlinear oscillation regime was demonstrated using a novel phase-controlled opto-mechanical excitation setup,utilizing a piezo actuator and a pulsed laser as the primary and secondary excitation sources,***-based photoacoustic excitation was amplified through plasmonic absorption in Au nanoparticles deposited on a ***,the minimum switching energy required for reliable memory operations was reduced to less than a picojoule(pJ),which translates to one of the lowest ever reported,when normalized for mass.
This paper introduces a proof-of-concept device featuring a low power switching for extending a lifetime of a metal-air battery (MAB) by leveraging the naturally formed Cu-oxide on a suspended Cu mesh layer. The switc...
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Herein, carbon nitride nanosheets (CNNS) were synthesized using the in situ exfoliation technique by introducing sodiated sulfate hydrolyzed cellulose nanocrystals (NaCNC) in the precursor mixture. Na-CNNS exhibits st...
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Cascode amplifiers with a matching network between the common-emitter (CE) and the common-base (CB) HBTs are popular in the sub-THz band for their enhanced gain. The stage is analyzed in this paper with focus on the l...
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Emergency vehicles face difficulty in navigating through traffic and locating the shortest route to the incident site. In the developing countries or under disaster conditions when limited communication and Intelligen...
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In today's era, Neural Networks (NN) are applied in various scientific fields such as robotics, medicine, engineering, etc. However, the predictions of neural networks themselves contain a degree of uncertainty th...
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