Search results for " computing"

showing 10 items of 2075 documents

Convolutional Neural Network for Dust and Hotspot Classification in PV Modules

2020

20th IEEE International Conference on Environment and Electrical Engineering, EEEIC 2020, online, 9 Jun 2020 - 12 Jun 2020; Energies : open-access journal of related scientific research, technology development and studies in policy and management 13(23), 6357 (2020). doi:10.3390/en13236357 special issue: "Special Issue "Selected Papers from 20 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2020)" / Special Issue Editor: Prof. Dr. Rodolfo Araneo, Guest Editor"

Control and OptimizationComputer science020209 energyReal-time computingEnergy Engineering and Power Technologydiagnosticconvolutional neural network02 engineering and technology010501 environmental sciencesSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricilcsh:Technology01 natural sciencesConvolutional neural networkphotovoltaic energyhot spotHotspot (geology)diagnostics0202 electrical engineering electronic engineering information engineeringenergy efficientElectrical and Electronic EngineeringEngineering (miscellaneous)0105 earth and related environmental sciencesSettore ING-IND/11 - Fisica Tecnica Ambientalelcsh:TRenewable Energy Sustainability and the Environmentbusiness.industryPhotovoltaic systemDirtartificial intelligencerenewable energy620Renewable energyElectricity generationinfrared thermographydustddc:620businessEnergy (miscellaneous)Efficient energy use
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A New Platform for Automatic Bottom-Up Electric Load Aggregation

2017

In this paper, a new virtual framework for load aggregation in the context of the liberalized energy market is proposed. Since aggregation is managed automatically through a dedicated platform, the purchase of energy can be carried out without intermediation as it happens in peer-to-peer energy transaction models. Differently from what was done before, in this new framework, individual customers can join a load aggregation program through the proposed aggregation platform. Through the platform, their features are evaluated and they are clustered according to their reliability and to the width of range of regulation allowed. The simulations show the deployment of an effective clustering and …

Control and OptimizationElectrical loadComputer science020209 energyReliability (computer networking)Distributed computingEnergy Engineering and Power TechnologyContext (language use)02 engineering and technology010501 environmental sciencesloads aggregation; loads clustering; energy market; active demand (AD)01 natural scienceslcsh:TechnologyEnergy market0202 electrical engineering electronic engineering information engineeringOperations managementEnergy marketActive demand (AD)Electrical and Electronic EngineeringCluster analysisEngineering (miscellaneous)Loads aggregation0105 earth and related environmental scienceslcsh:TRenewable Energy Sustainability and the EnvironmentComputer Science (all)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaLoads clusteringSoftware deploymentEnergy (signal processing)Energy (miscellaneous)Energies; Volume 10; Issue 11; Pages: 1682
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Energy Efficiency Evaluation of Dynamic Partial Reconfiguration in Field Programmable Gate Arrays: An Experimental Case Study

2018

Both computational performances and energy efficiency are required for the development of any mobile or embedded information processing system. The Internet of Things (IoT) is the latest evolution of these systems, paving the way for advancements in ubiquitous computing. In a context in which a large amount of data is often analyzed and processed, it is mandatory to adapt node logic and processing capabilities with respect to the available energy resources. This paper investigates under which conditions a partially reconfigurable hardware accelerator can provide energy saving in complex processing tasks. The paper also presents a useful analysis of how the dynamic partial reconfiguration te…

Control and Optimizationvideo filteringComputer sciencedigital signal processingEnergy Engineering and Power TechnologyDigital signal processing; Dynamic partial reconfiguration; Energy efficiency; Field Programmable Gate Array; Video filtering02 engineering and technologylcsh:Technology0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringField-programmable gate arrayEngineering (miscellaneous)Digital signal processingenergy efficiencyField Programmable Gate Arraybusiness.industryRenewable Energy Sustainability and the Environmentlcsh:Tenergy efficiency; dynamic partial reconfiguration; Field Programmable Gate Array; digital signal processing; video filteringControl reconfiguration020206 networking & telecommunicationsEnergy consumptionReconfigurable computingdynamic partial reconfigurationEmbedded system020201 artificial intelligence & image processingNode (circuits)businessEnergy (signal processing)Efficient energy useEnergy (miscellaneous)Energies
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Control Flow Error Checking with ISIS

2005

The Interleaved Signature Instruction Stream (ISIS) is a signature embedding technique that allows signatures to co-exist with the main processor instruction stream with a minimal impact on processor performance, without sacrificing error detection coverage or latency. While ISIS incorporate some novel error detection mechanisms to assess the integrity of the program executed by the main processor, the limited number of bits available in the signature control word question if the detection mechanisms are effective detecting errors in the program execution flow. Increasing the signature size would negatively impact the memory requirements, so this option has been rejected. The effectiveness …

Control flowbusiness.industryComputer scienceReal-time computingSoftware developmentEmbeddingRetardFault injectionLatency (engineering)Error checkingError detection and correctionbusiness
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Sensitivities of Amazonian clouds to aerosols and updraft speed

2017

Abstract. The effects of aerosol particles and updraft speed on warm-phase cloud microphysical properties are studied in the Amazon region as part of the ACRIDICON-CHUVA experiment. Here we expand the sensitivity analysis usually found in the literature by concomitantly considering cloud evolution, putting the sensitivity quantifications into perspective in relation to in-cloud processing, and by considering the effects on droplet size distribution (DSD) shape. Our in situ aircraft measurements over the Amazon Basin cover a wide range of particle concentration and thermodynamic conditions, from the pristine regions over coastal and forested areas to the southern Amazon, which is highly poll…

ConvectionAtmospheric Science010504 meteorology & atmospheric sciencesMeteorologyAmazonianCloud computing010502 geochemistry & geophysicsAtmospheric sciences01 natural scienceslcsh:ChemistryCloud basecloudmicrophysicsWolkenphysikAerosolupdraft0105 earth and related environmental sciencesAmazon rainforestbusiness.industry15. Life on landMETEOROLOGIA FÍSICAlcsh:QC1-999AerosolEffective diameterlcsh:QD1-99913. Climate actionLiquid water contentEnvironmental sciencebusinesslcsh:PhysicsAtmospheric Chemistry and Physics
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The ACRIDICON-CHUVA campaign: Studying tropical deep convective clouds and precipitation over Amazonia using the new German research aircraft HALO

2016

Abstract Between 1 September and 4 October 2014, a combined airborne and ground-based measurement campaign was conducted to study tropical deep convective clouds over the Brazilian Amazon rain forest. The new German research aircraft, High Altitude and Long Range Research Aircraft (HALO), a modified Gulfstream G550, and extensive ground-based instrumentation were deployed in and near Manaus (State of Amazonas). The campaign was part of the German–Brazilian Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems–Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud Resolving Modeling and to the GPM (Global Precipitatio…

ConvectionAtmospheric ScienceACRIDICON–CHUVA010504 meteorology & atmospheric sciencesMeteorologyResearch AircraftCloud computingPrecipitation Formation010502 geochemistry & geophysics01 natural sciencesMess- und Sensortechnik OPPrecipitation (meteorology)tropical deep convective cloudsRemote SensingHaloAmazoniaCloudsRange (aeronautics)ddc:550Radiative transferPrecipitation0105 earth and related environmental sciencesLidarAnthropogenic AerosolsVerkehrsmeteorologiebusiness.industryAmazon rainforestAtmosphärische SpurenstoffeDeep Convective CloudsProjektmanagement Flugexperimente OPAerosolAtmospheric ThermodynamicsEnvironmental sciencebusinessCloud Life CycleGlobal Precipitation Measurement
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Definition of "banner clouds" based on time lapse movies

2007

Abstract. Banner clouds appear on the leeward side of a mountain and resemble a banner or a flag. This article provides a comprehensive definition of "banner clouds". It is based primarily on an extensive collection of time lapse movies, but previous attempts at an explanation of this phenomenon are also taken into account. The following ingredients are considered essential: the cloud must be attached to the mountain but not appear on the windward side; the cloud must originate from condensation of water vapour contained in the air (rather than consist of blowing snow); the cloud must be persistent; and the cloud must not be of convective nature. The definition is illustrated and discussed …

ConvectionAtmospheric ScienceMeteorologybusiness.industryCondensationBannerCloud computingBlowing snowbusinessWater vaporGeologyFlag (geometry)Atmospheric Chemistry and Physics
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A Theoretical Study of the Wet Removal of Atmospheric Pollutants. Part III: The Uptake, Redistribution, and Deposition of (NH4)2SO4Particles by a Con…

1988

Abstract Our model for the scavenging of aerosol particles has been coupled with the two-dimensional form of the convective cloud model of Clark and Collaborators. The combined model was then used to simulate a convective warm cloud for the meteorological situation which existed at 1100 LST 12 July 1985 over Hawaii; assuming an aerosol size distribution of maritime number concentration and of mixed composition with (NH4)2SO4 as the soluble compound. A shallow model cloud developed 26 min after the onset of convection leading to moderate rain which began after 45 min and ended after 60 min. Various parameters which characterize the dynamics and micophysics of the cloud, as well as the scaven…

ConvectionAtmospheric ScienceWater massMeteorologybusiness.industryCloud computingAtmospheric sciencesAerosolLiquid water contentEnvironmental scienceCloud condensation nucleiRedistribution (chemistry)businessScavengingJournal of the Atmospheric Sciences
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Comparing parameterized versus measured microphysical properties of tropical convective cloud bases during the ACRIDICON–CHUVA campaign

2017

The objective of this study is to validate parameterizations that were recently developed for satellite retrievals of cloud condensation nuclei supersaturation spectra, NCCN(S), at cloud base alongside more traditional parameterizations connecting NCCN(S) with cloud base updrafts and drop concentrations. This was based on the HALO aircraft measurements during the ACRIDICON–CHUVA campaign over the Amazon region, which took place in September 2014. The properties of convective clouds were measured with a cloud combination probe (CCP), a cloud and aerosol spectrometer (CAS-DPOL), and a CCN counter onboard the HALO aircraft. An intercomparison of the cloud drop size distributions (DSDs) and the…

ConvectionAtmospheric Sciencecould condenstion nuclei010504 meteorology & atmospheric sciencesMeteorologysupersaturationCloud computing010502 geochemistry & geophysicsAtmospheric sciences01 natural scienceslcsh:ChemistryCloud baseCloud condensation nucleicloudWolkenphysikAdiabatic processupdraftAstrophysics::Galaxy AstrophysicsPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesbusiness.industryDrop (liquid)CASlcsh:QC1-999Aerosollcsh:QD1-999Environmental scienceHalobusinesslcsh:Physics
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Analysis of variability in divergence and turn-over induced by three idealized convective systems with a 3D cloud resolving model

2020

Abstract. The sensitivity of upper tropospheric and lower stratospheric convective outflows and related divergence fields is analysed using an ensemble of cloud resolving model (CM1) simulations in LES-mode including various physically manipulated simulations for three different convective systems initialized with an idealized trigger. The main goal of this study is to assess to what extend the divergence field depends on cloud microphysical processes, the mode of convection and on the processes of convective momentum transport and moist static energy redistribution. We find that latent heat release (representing the microphysical uncertainty) plays an essential role by explaining much of m…

ConvectionTropospherebusiness.industryLatent heatMoist static energyConvective momentum transportEnvironmental scienceSublimation (phase transition)Cloud computingAtmospheric sciencesbusinessPhysics::Atmospheric and Oceanic Physics
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