The current work demonstrates 3D printing of transparent sheets embedded with zinc oxide (ZnO) nanoparticles for the encapsulation of solar panels for protection and thermal management. Thin transparent sheets were pr...
The current work demonstrates 3D printing of transparent sheets embedded with zinc oxide (ZnO) nanoparticles for the encapsulation of solar panels for protection and thermal management. Thin transparent sheets were prepared via a vat-photopolymerization-based 3D printing technique. The optimized sheet showed >90% transparency with a UV ray preventing capability from the range of 200–400 nm. Due to blocking of UV rays from the solar spectrum, reduction in around ~8°C in the temperature from the surface of the solar panel was observed when the solar panel coated with ZnO embedded resin was exposed to sunlight for 30 min as compared to the surface temperature from the reference panel with resin coating only. The demonstrated sheet would thus be promising as an encapsulant and in assisting in the thermal management of the solar panel.
The advent of multi-unmanned aerial vehicle (multi-UAV) networks in mobile edge computing (MEC) introduces dynamic computational topologies where UAVs, acting as mobile edge servers, are tasked with processing data fr...
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ISBN:
(数字)9798350368369
ISBN:
(纸本)9798350368376
The advent of multi-unmanned aerial vehicle (multi-UAV) networks in mobile edge computing (MEC) introduces dynamic computational topologies where UAVs, acting as mobile edge servers, are tasked with processing data from ground-based user equipment (UE). This paper addresses the dual challenges of optimizing both UAV deployment and task offloading within such networks to minimize communication latency and efficiently utilize UAV resources, which are limited by battery life and processing capabilities. We propose a bi-level optimization framework that simultaneously tackles the placement of UAVs and the distribution of computational tasks among them. At the higher level, UAV deployment is optimized to ensure minimal distance to the UEs, thereby reducing latency and energy consumption during data transmission. At the lower level, task offloading is optimized to balance the computational load across the UAV network, considering each UAV's capacity and battery constraints. We demonstrate through extensive simulations the significant improvements in system efficiency, latency, and resilience. This approach not only enhances the performance of UAV-assisted MEC networks but also provides scalable solutions adaptable to various operational scenarios.
This paper presents a novel physical unclonable function (PUF) design that extracts entropy of random threshold voltage variations of a memristor-based cell. Each cell consists of two equivalent memristors in series. ...
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In this paper,we address the long-term generation and transmission expansion planning for power systems of regions with very high solar *** target the power systems that currently rely mainly on thermal generators and...
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In this paper,we address the long-term generation and transmission expansion planning for power systems of regions with very high solar *** target the power systems that currently rely mainly on thermal generators and that aim to adopt high shares of renewable *** propose a stochastic programming model with expansion alternatives including transmission lines,solar power plants(photovoltaic and concentrated solar),wind farms,energy storage,and flexible combined cycle gas *** model represents the longterm uncertainty to characterize the demand growth,and the short-term uncertainty to characterize daily solar,wind,and demand *** use the Saudi Arabian power system to illustrate the functioning of the proposed model for several cases with different renewable integration *** results show that a strong dependence on solar power for high shares of renewable sources requires high generation capacity and storage to meet the night demand.
This paper considers the localization problem in a 5G-aided global navigation satellite system (GNSS) based on realtime kinematic (RTK) technique. Specifically, the user's position is estimated based on the hybrid...
This paper considers the localization problem in a 5G-aided global navigation satellite system (GNSS) based on realtime kinematic (RTK) technique. Specifically, the user's position is estimated based on the hybrid measurements, including GNSS pseudo-ranges, GNSS carrier phases, 5G angle-of-departures, and 5G channel delays. The underlying estimation problem is solved by steps that comprise obtaining the float solution, ambiguity resolution, and resolving the fixed solution. The analysis results show that the involvement of 5G observations can enable localization under satellite-deprived environments, inclusive of extreme cases with only 2 or 3 visible satellites. Moreover, extensive simulation results reveal that with the help of 5G observations, the proposed algorithm can significantly reduce the estimation error of the user's position and increase the success rate of carrier-phase ambiguity resolution.
We study the problem of Differentially Private Stochastic Convex Optimization (DP-SCO) with heavy-tailed data. Specifically, we focus on the 1-norm linear regression in the ϵ-DP model. While most of the previous work ...
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Lithium-sulfur (Li-S) battery,as a promising next-generation high-energy-density battery,suffers from lithium polysulfides(LPSs) shuttle and Li dendrites *** crystalline framework-based membranes as separator can ...
Lithium-sulfur (Li-S) battery,as a promising next-generation high-energy-density battery,suffers from lithium polysulfides(LPSs) shuttle and Li dendrites *** crystalline framework-based membranes as separator can effectively absorb and restrain LPSs but without precise structural design principal exploration and mechanism ***,bio-inspired 1D oriented lithium-ion transport channels with molecular negatively charged PO3(-1) have been developed in hybrid tetrazole frameworks for promoting the transmission of Li+*** theoretical calculations and in situ spectroscopy demonstrated the higher binding energy and inhibited diffusion of LPSs in *** assembled PP@PO3Janus separator in Li-S coin cell delivered a high initial capacity of 1410.9 mAh g-1at 0.1 C and a low attenuation rate of 0.038%per cycle over 500 cycles at 5 ***,the high capacities of 862,542 and 409 mAh g-1based on high-sulfur-loading cathodes of 2.6,3.8 and 5.0 mg cm-2at0.5 C were achieved,***,the punch battery of PO3@PP separator with S-cathode of 1.2 mg cm-2has been developed for demonstrating its potentials commercial application,which displays impressive capacity of 873.4 mAh g-1with the retention of~78.9%over 50 cycles.
We present a first-principle end-to-end design framework for metalens corrected at 20 equispaced frequencies in the visible range (380 ~ 700 nm), with a record-value of image reconstruction error of 1.1 × 10 − 5.
ISBN:
(纸本)9781957171258
We present a first-principle end-to-end design framework for metalens corrected at 20 equispaced frequencies in the visible range (380 ~ 700 nm), with a record-value of image reconstruction error of 1.1 × 10 − 5.
Facing escalating demands for high-speed,large-bandwidth,and low-latency wireless data links,laser communication technology has emerged as a promising *** free-space optical communication conventionally utilizes neari...
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Facing escalating demands for high-speed,large-bandwidth,and low-latency wireless data links,laser communication technology has emerged as a promising *** free-space optical communication conventionally utilizes nearinfrared light sources,there has been growing interest in exploring new spectral resources,including visible ***,laser-based white light has been demonstrated in visible light communication(VLC),with a unique capability to seamlessly integrate with illumination and display *** review summarizes the key devices and system technologies in semiconductor-laser-based white light for VLC-related *** recent advances and many emerging applications in the evolution of lighting,display,and communication are discussed.
Vehicle-to-Grid (V2G) is an emerging technology that makes electric vehicles (EVs) an even more beneficial investment by using EVs as a mobile power grid. The integration of EVs with the microgrid requires several ste...
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Vehicle-to-Grid (V2G) is an emerging technology that makes electric vehicles (EVs) an even more beneficial investment by using EVs as a mobile power grid. The integration of EVs with the microgrid requires several steps that include communication with the infrastructure (V2X) and bidirectional power electronic converters to exchange power with the grid. In this study, a complete structure of the EVs integration into the microgrid is demonstrated and implemented. Both V2G and G2V technologies using the integrated onboard bidirectional charger (IOBC) are performed to take and supply power to the grid. A mechanism of the available surplus power to the microgrid by several EVs is proposed. A detailed analysis of power management has been conducted by prioritizing renewable energy (EVs' power) in peak hours. The analysis is performed using a Typhoon-HIL microgrid testbed. Furthermore, the results are also verified by conducting experiments using a grid emulator.
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