Unmanned Aerial Vehicles (UAVs) are increasingly utilized in various applications often requiring coordinated operations of multiple UAVs. Circular formation control has garnered significant attention due to its diver...
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The purpose of the present study is to investigate co-seismic earthquake ionospheric signatures as detected by remote sensing instrumentation situated in Cyprus by exploiting Total Electron Content measurements from c...
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The proliferation of wireless technologies and the escalating performance requirements of wireless applications have led to diverse and dynamic wireless environments, presenting formidable challenges to existing radio...
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Emergency message (EM) dissemination is a significant process in vehicular ad hoc networks (VANETs) and plays a vital role in road safety. Nonetheless, EMs’ dissemination while avoiding broadcast storms poses a consi...
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The shift towards the renewable energy market for carbon-neutral power generation has encouraged different governments to come up with a plan of *** with the endorsement of renewable energy for harsh environmental con...
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The shift towards the renewable energy market for carbon-neutral power generation has encouraged different governments to come up with a plan of *** with the endorsement of renewable energy for harsh environmental conditions like sand dust and snow,monitoring and maintenance are a few of the prime *** problems were addressed widely in the literature,but most of the research has drawbacks due to long detection time,and high misclassification *** to overcome these drawbacks,and to develop an accurate monitoring approach,this paper is motivated toward the understanding of primary failure concerning a grid-connected photovoltaic(PV)system and highlighted along with a brief overview on existing fault detection *** on the drawback a data-driven machine learning approach has been used for the identification of fault and indicating the maintenance unit regarding the operation and maintenance ***,the system was tested with a 4 kWp grid-connected PV system,and a decision tree-based algorithm was developed for the identification of a *** results identified 94.7%training accuracy and 14000 observations/sec prediction speed for the trained classifier and improved the reliability of fault detection nature of the grid-connected PV operation.
This work formulates the feedback control strategies for vehicles to reach a goal point amongst a field of dynamic risk regions. Whereas previous work has considered deterministic versions of this problem, we consider...
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We report on the formation of surface relief structures of azopolymers by irradiation of optical skyrmionic hopfion. The reliefs reflect exotic polarization textures of hopfion and will pave the way for advanced rewri...
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Miniature optical fiber-tip Fabry-Perot interferometric sensors fabricated by femtosecond laser micromachining for eliminating the additional Fresnel reflection and avoiding complicated amplitude modulation in the ref...
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Since its introduction in 1992, PCI (Peripheral Component Interconnect) interface has been widely applied in various fields. In 2001, Intel launched the PCIe (Peripheral Component Interconnect Express) interface, whic...
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The two control objectives of voltage regulation and precise current sharing are conflicting in multi-bus DC microgrids. In this paper, a distributed control strategy is proposed, and it can achieve accurate current s...
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