Search results for "ARN"

showing 10 items of 8344 documents

La DaD nell’emergenza Covid19: restrizione spaziale e sfida per una nuova temporalizzazione

2020

L’introduzione della DaD nell’università, come risposta di emergenza alla pandemia del Covid19, ha comportato inevitabilmente il sacrificio della dimensione spaziale nel percorso formativo degli studenti e nella loro socialità. Questa restrizione, tuttavia, può creare il presupposto per riguadagnare in intensità ciò che si perde in estensione e ripensare, in termini filosofici, il rapporto tra temporalizzazione e spazializzazione nel processo di costruzione della personalità nella sua coscienza storica. The introduction of the DDA in the university, as an emergency response to the Covid19 pandemic, inevitably entailed the sacrifice of the spatial dimension in the training of students and in…

- Philosophical implications of distance learning - Temporalization and spatialization in the educational path - The crisis of historical consciousness and the urgency of its recovery- Implicazioni filosofiche della Didattica a distanza - Temporalizzazione e spazializzazione nel percorso educativo - La crisi della coscienza storica e l’urgenza della sua ripresaSettore M-FIL/03 - Filosofia Morale
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Reinforcement learning approach to nonequilibrium quantum thermodynamics

2021

We use a reinforcement learning approach to reduce entropy production in a closed quantum system brought out of equilibrium. Our strategy makes use of an external control Hamiltonian and a policy gradient technique. Our approach bears no dependence on the quantitative tool chosen to characterize the degree of thermodynamic irreversibility induced by the dynamical process being considered, require little knowledge of the dynamics itself and does not need the tracking of the quantum state of the system during the evolution, thus embodying an experimentally non-demanding approach to the control of non-equilibrium quantum thermodynamics. We successfully apply our methods to the case of single- …

---Computer scienceFOS: Physical sciencesGeneral Physics and AstronomyNon-equilibrium thermodynamics01 natural sciencesSettore FIS/03 - Fisica Della Materia010305 fluids & plasmassymbols.namesakeQuantum stateSHORTCUTS0103 physical sciencesQuantum systemReinforcement learningStatistical physics010306 general physicsQuantum thermodynamicsCondensed Matter - Statistical MechanicsADIABATICITYQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)Entropy productionENTROPYsymbolsQuantum Physics (quant-ph)Hamiltonian (quantum mechanics)
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MoMo: enabling hybrid museums

2005

Present-day museums are not mere passive institutions for the preservation of a society's cultural heritage. They have become instead learning environments, research centres and even tourist attractions. The paper introduces the notion of a hybrid museum (HM) in which wireless personal digital devices (PDAs) are used to tailor digital contents to the visitor to enrich both the learning and entertainment experience. The paper describes a fully functional hybrid museum infrastructure (MoMo) implemented with the.NET compact framework running on the PocketPC platform. Several research challenges that had to be faced during the implementation of the system such as the exploration of large sets o…

.NET Compact FrameworkEngineeringMultimediabusiness.industryLearning environmentVisitor patternMobile computingcomputer.software_genreComputer Graphics and Computer-Aided DesignPersonalizationCultural heritageEntertainmentbusinesscomputerSoftwareBlossom algorithmIEE Proceedings - Software
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Foreign language learning in multilingual Germany

2021

This special issue on foreign language (FL) learning in multilingual contextsprovides insights into cross- and inter-linguistic phenomena comparingmonolingual and multilingual students who learn FLs in linguistically het-erogeneous classrooms. All contributions are based on data gathered in pro-jects carried out within the research cluster “Language education andmultilingualism”/“Sprachliche Bildung und Mehrsprachigkeit”, which hasbeen funded by the German Federal Ministry for Education and Research(Bundesministerium für Bildung und Forschung, BMBF) from 2013 to 2020. Bybringing together linguistic and educational perspectives on FL learning andteaching as well as different methodological a…

/dk/atira/pure/core/keywords/sprachwissenschaftenLinguistics and LanguageForeign language learningLanguage StudiesCommunicationPsychologyLanguage and LinguisticsLinguisticsMultilingua
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Dynamical learning of a photonics quantum-state engineering process

2021

Abstract. Experimental engineering of high-dimensional quantum states is a crucial task for several quantum information protocols. However, a high degree of precision in the characterization of the noisy experimental apparatus is required to apply existing quantum-state engineering protocols. This is often lacking in practical scenarios, affecting the quality of the engineered states. We implement, experimentally, an automated adaptive optimization protocol to engineer photonic orbital angular momentum (OAM) states. The protocol, given a target output state, performs an online estimation of the quality of the currently produced states, relying on output measurement statistics, and determine…

/dk/atira/pure/subjectarea/asjc/2200/2204/dk/atira/pure/subjectarea/asjc/2500/2504Biomedical EngineeringphotonicsFOS: Physical sciencesquantum mechanicSettore FIS/03 - Fisica Della MateriaQuantum walkquantum informationquantum state engineeringqunatum informationblack-box optimizationQuantum Physicsquantum information; orbital angular momentum; black-box optimization; quantum state engineering; photonics/dk/atira/pure/subjectarea/asjc/3100/3107Orbital angular momentumState engineeringGeneral MedicineAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsAlgorithmmachine learningorbital angular momentumBlack-box optimizationQuantum Physics (quant-ph)Optics (physics.optics)Physics - OpticsAdvanced Photonics
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Numerical Procedures and their Practical Application in PV Module Analyses. Part IV: Atmospheric Transparency Parameters - Application

2020

Abstract The presented article relates to aspects of PV module testing using natural sunlight in outdoor conditions. It is a continuation of the article Part III: parameters of atmospheric transparency - determining and correlations. This article discusses the practical application of the indexes: atmosphere purity - k Tm , diffused component content - k s/o , beam clear sky index - K b - in testing various modules in outdoor conditions. Their influence on the conversion of modules made from various absorbers and various technologies is demonstrated. Their practical application in module testing in outdoor conditions is described and it - has been demonstrated that the results of the analys…

010302 applied physicsChemistrybusiness.industry020209 energysolar energyAtmospheric transparencysolar radiation spectrum02 engineering and technologysky clearness indexdiffused component content index01 natural sciencesEnergy engineeringPart iiiphotovoltaicsComponent (UML)0103 physical sciences0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceProcess engineeringbusinessEcological Chemistry and Engineering S
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Antiferromagnetic NiO thickness dependent sign of the spin Hall magnetoresistance in γ-Fe 2 O 3 /NiO/Pt epitaxial stacks

2019

We study the spin Hall magnetoresistance (SMR) in epitaxial γ–Fe2O3/NiO(001)/Pt stacks, as a function of temperature and thickness of the antiferromagnetic insulating NiO layer. Upon increasing the thickness of NiO from 0 nm to 10 nm, we detect a sign change of the SMR in the temperature range between 10 K and 280 K. This temperature dependence of the SMR in our stacks is different compared to that of previously studied yttrium iron garnet/NiO/Pt, as we do not find any peak or sign change as a function of temperature. We explain our data by a combination of spin current reflection from both the NiO/Pt and γ-Fe2O3/NiO interfaces and the thickness-dependent exchange coupling mode between the …

010302 applied physicsMaterials sciencePhysics and Astronomy (miscellaneous)MagnetoresistanceCondensed matter physicsNon-blocking I/OYttrium iron garnet02 engineering and technologyAtmospheric temperature range021001 nanoscience & nanotechnologyEpitaxy01 natural scienceschemistry.chemical_compoundReflection (mathematics)chemistry0103 physical sciencesAntiferromagnetism0210 nano-technologySpin (physics)Applied Physics Letters
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Enhancement of the Spin Pumping Effect by Magnon Confluence Process in YIG/Pt Bilayers

2019

The experimental investigation of the spin pumping process by dipolar‐exchange magnons parametrically excited in in‐plane magnetized yttrium iron garnet/platinum bilayers is presented. The electric voltage generated in the platinum layer via the inverse spin Hall effect (ISHE) results from contributions of two opposite spin currents formed by the longitudinal spin Seebeck effect and by the spin pumping from parametric magnons. In the field‐dependent measurements of the spin pumping‐induced component of the ISHE‐voltage, a clearly visible sharp peak is detected at high pumping powers. It is found that the peak position is determined by the process of confluence of two parametrically excited …

010302 applied physicsSpin pumpingMaterials scienceCondensed matter physicsField (physics)MagnonYttrium iron garnet02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesElectronic Optical and Magnetic MaterialsCondensed Matter::Materials Sciencechemistry.chemical_compoundchemistryExcited state0103 physical sciencesThermoelectric effectSpin Hall effectCondensed Matter::Strongly Correlated Electrons0210 nano-technologySpin-½physica status solidi (b)
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Towards Open Domain Chatbots—A GRU Architecture for Data Driven Conversations

2018

Understanding of textual content, such as topic and intent recognition, is a critical part of chatbots, allowing the chatbot to provide relevant responses. Although successful in several narrow domains, the potential diversity of content in broader and more open domains renders traditional pattern recognition techniques inaccurate. In this paper, we propose a novel deep learning architecture for content recognition that consists of multiple levels of gated recurrent units (GRUs). The architecture is designed to capture complex sentence structure at multiple levels of abstraction, seeking content recognition for very wide domains, through a distributed scalable representation of content. To …

010302 applied physicsStructure (mathematical logic)Service (systems architecture)Computer sciencebusiness.industryDeep learning02 engineering and technologycomputer.software_genre01 natural sciencesChatbotNaive Bayes classifier020204 information systems0103 physical sciencesPattern recognition (psychology)0202 electrical engineering electronic engineering information engineeringArtificial intelligenceArchitecturebusinesscomputerNatural language processingSentence
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Monte Carlo Simulations of Au38(SCH3)24 Nanocluster Using Distance-Based Machine Learning Methods

2020

We present an implementation of distance-based machine learning (ML) methods to create a realistic atomistic interaction potential to be used in Monte Carlo simulations of thermal dynamics of thiol...

010304 chemical physicsbusiness.industryChemistryMonte Carlo methodThermal dynamics010402 general chemistryMachine learningcomputer.software_genre01 natural sciences0104 chemical sciencesInteraction potential0103 physical sciencesCluster (physics)Artificial intelligencePhysical and Theoretical ChemistrybusinesscomputerDistance basedThe Journal of Physical Chemistry A
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