Search results for "83"

showing 10 items of 1276 documents

From Historical Silk Fabrics to Their Interactive Virtual Representation and 3D Printing

2020

The documentation, dissemination, and enhancement of Cultural Heritage is of great relevance. To that end, technological tools and interactive solutions (e.g., 3D models) have become increasingly popular. Historical silk fabrics are nearly flat objects, very fragile and with complex internal geometries, related to different weaving techniques and types of yarns. These characteristics make it difficult to properly document them, at the yarn level, with current technologies. In this paper, we bring a new methodology to virtually represent such heritage and produce 3D printouts, also making it highly interactive through the tool Virtual Loom. Our work involves sustainability from different per…

Architectural engineeringComputer scienceGeography Planning and DevelopmentVirtual representationTJ807-83002 engineering and technologyManagement Monitoring Policy and Lawweaving techniquesTD194-1957. Clean energysilk fabricRenewable energy sourcesCreative industriesDocumentation11. Sustainability0601 history and archaeologyRelevance (information retrieval)GE1-350Settore L-ART/02 - Storia Dell'Arte Modernacomputer.programming_languageSettore L-ART/04 - Museologia E Critica Artistica E Del Restauro060102 archaeologyLOOMEnvironmental effects of industries and plantsRenewable Energy Sustainability and the Environmentweaving techniquesilk fabrics06 humanities and the artsYarn3D printingcultural heritage021001 nanoscience & nanotechnologyCultural heritageEnvironmental sciencesvirtual modellingvisual_artvisual_art.visual_art_medium0210 nano-technologycomputerSustainability
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Multi-objective optimization of building life cycle performance. A housing renovation case study in Northern Europe

2020

While the operational energy use of buildings is often regulated in current energy saving policies, their embodied greenhouse gas emissions still have a considerable mitigation potential. The study aims at developing a multi-objective optimization method for design and renovation of buildings incorporating the operational and embodied energy demands, global warming potential, and costs as objective functions. The optimization method was tested on the renovation of an apartment building in Denmark, mainly focusing envelope improvements as roof and exterior wall insulation and windows. Cellulose insulation has been the predominant result, together with fiber cement or aluminum-based cladding …

Architectural engineeringbuilding renovationLow-energy buildings020209 energylcsh:TJ807-830Geography Planning and Developmentlcsh:Renewable energy sources02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesMulti-objective optimizationLife cycle assessmentlife cycle assessment0202 electrical engineering electronic engineering information engineeringBuilding life cycleCellulose insulationRoofLife-cycle assessmentlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350Settore ING-IND/11 - Fisica Tecnica Ambientalelow-energy buildingBuilding renovation Embodied Life cycle assessment Low-energy building Multiobjective optimizationRenewable Energy Sustainability and the Environmentlcsh:Environmental effects of industries and plantsEmbodiedSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaMulti-objective optimizationGlazinglcsh:TD194-195multi-objective optimizationGreenhouse gasembodiedEnvironmental scienceEmbodied energyBuilding renovation
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Artificial Neural Networks to Predict the Power Output of a PV Panel

2014

The paper illustrates an adaptive approach based on different topologies of artificial neural networks (ANNs) for the power energy output forecasting of photovoltaic (PV) modules. The analysis of the PV module’s power output needed detailed local climate data, which was collected by a dedicated weather monitoring system. The Department of Energy, Information Engineering, and Mathematical Models of the University of Palermo (Italy) has built up a weather monitoring system that worked together with a data acquisition system. The power output forecast is obtained using three different types of ANNs: a one hidden layer Multilayer perceptron (MLP), a recursive neural network (RNN), and a gamma m…

Article SubjectArtificial neural networkRenewable Energy Sustainability and the EnvironmentComputer scienceneural networklcsh:TJ807-830Computer Science::Neural and Evolutionary ComputationPhotovoltaic systemlcsh:Renewable energy sourcesControl engineeringGeneral ChemistrySolar irradianceNetwork topologyAtomic and Molecular Physics and OpticsBackpropagationphotovoltaicsRecurrent neural networkElectricity generationMultilayer perceptronneural networks; photovoltaicsGeneral Materials SciencePhysics::Atmospheric and Oceanic Physics
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Assessment of the Operating Temperature of Crystalline PV Modules Based on Real Use Conditions

2014

Determining the operating temperatureTcof photovoltaic panelsPVis important in evaluating the actual performance of these systems. In the literature, different correlations exist, in either explicit or implicit forms, which often do not account for the electrical behaviour of panels; in this way, estimatingTcis based only on the passive behaviour of thePV. In this paper, the authors propose a new implicit correlation that takes into account the standard weather variables and the electricity production regimes of aPVpanel in terms of the proximity to the maximum power points. To validate its reliability, the new correlation was tested on two different PV panels (Sanyo and Kyocera panels) and…

Article Subjectpv panels; convective exchange;Maximum power principleRenewable Energy Sustainability and the EnvironmentComputer sciencemedia_common.quotation_subjectlcsh:TJ807-830Photovoltaic systemlcsh:Renewable energy sourcesGeneral ChemistryAtomic and Molecular Physics and OpticsReliability engineeringElectricity generationOperating temperaturepv panelGeneral Materials ScienceQuality (business)Reliability (statistics)media_commonconvective exchange
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New horizons for fundamental physics with LISA

2022

K. G. Arun et al.

AstrofísicaPROTOPLANET MIGRATIONFísica-Modelos matemáticosPhysics and Astronomy (miscellaneous)gr-qcFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)GRAVITATIONAL-WAVEShorizonFundamental physicGeneral Relativity and Quantum CosmologyPhysics Particles & FieldsGravitational wavesLIGO (Observatory)Tests of general relativitySettore FIS/05 - Astronomia e AstrofisicaDARK-MATTERFísica matemáticaKOZAI MECHANISMHigh Energy PhysicsGENERAL-RELATIVITYFundamental physics; Gravitational waves; LISA; Tests of general relativityFundamental physicsPRIMORDIAL BLACK-HOLESLISAScience & TechnologyGeneral Relativity and Cosmology83CXXPhysicsgravitation: interactiongravitational radiationFísicaCompactQUANTUM-GRAVITYPhysical SciencesAstronomia[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]fundamental physics; gravitational waves; LISA; test of general relativityMODIFIED GRAVITYtest of general relativityGravitational waveMULTIPOLE MOMENTSHUBBLE CONSTANT
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"Table 38" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distribution of the Total Jet Broadening (BSUM) at cm energy 183 GeV.

Astrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentDN/DBSUMSingle Differential DistributionJet ProductionNuclear Experiment183.0
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"Table 24" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distribution of Planarity at cm energy 183 GeV.

Astrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentSingle Differential DistributionJet ProductionComputer Science::Computational GeometryNuclear ExperimentDN/DPLANARITY183.0
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"Table 22" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distribution of Sphericity at cm energy 183 GeV.

Astrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentSingle Differential DistributionJet ProductionNuclear ExperimentDN/DSPHERICITY183.0
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"Table 18" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distribution of Thrust Minor (MINOR) at cm energy 183 GeV.

Astrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringPhysics::Space PhysicsDN/DMINORExclusiveHigh Energy Physics::ExperimentSingle Differential DistributionJet ProductionNuclear Experiment183.0
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"Table 14" of "Energy dependence of event shapes and of alpha(s) at LEP-2."

1999

Distribution of (1-THRUST) at cm energy 183 GeV.

Astrophysics::High Energy Astrophysical PhenomenaE+ E- --> HADRONSE+ E- --> JETSE+ E- ScatteringPhysics::Space PhysicsExclusiveHigh Energy Physics::ExperimentDN/DTHRUSTSingle Differential DistributionJet ProductionNuclear Experiment183.0
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