Search results for " characterization"

showing 10 items of 310 documents

Design and control of an innovative electronic load for the photovoltaic module characterization

2016

The paper proposes a new electronic load setup for a fast, low-cost and standard-compliant characterization of a photovoltaic module. The approach is based on the use of a DC-DC converter, exploiting its ability to emulate a resistor. In particular, a Buck-Boost converter topology is employed. The model is implemented in the Simulink/SimPower System environment. A commercial PV Conergy E215P photovoltaic module is used in order to evaluate the performances of the proposed electronic load and to validate the proposed approach.

Settore ING-IND/31 - ElettrotecnicaPV moduleDC–DC converterDC-DC converterlcsh:Electrical engineering. Electronics. Nuclear engineeringSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricielectronic loadSettore ING-INF/07 - Misure Elettriche E Elettronichelcsh:TK1-9971PV characterization
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Electrical characterization of low power CIGSSe photovoltaic modules

2015

This paper presents the electrical characterization of low power CIGSSe photovoltaic (PV) modules. Such investigation is achieved to perform a comparison of their performances with conventional silicon PV modules. For this purpose, a test bench, suitable for the characterization of both traditional and innovative low power modules, has been set-up and experimental results are accurately described and discussed.

Settore ING-IND/31 - ElettrotecnicaTest benchSettore ING-IND/11 - Fisica Tecnica AmbientaleReliability (semiconductor)Computer sciencePower modulePhotovoltaic systemElectronic engineeringCIGSSe modules PV devices characterizationSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciSettore ING-INF/01 - ElettronicaCharacterization (materials science)Power (physics)2015 International Conference on Renewable Energy Research and Applications (ICRERA)
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An Adaptive Bayesian System for Context-Aware Data Fusion in Smart Environments

2017

The adoption of multi-sensor data fusion techniques is essential to effectively merge and analyze heterogeneous data collected by multiple sensors, pervasively deployed in a smart environment. Existing literature leverages contextual information in the fusion process, to increase the accuracy of inference and hence decision making in a dynamically changing environment. In this paper, we propose a context-aware, self-optimizing, adaptive system for sensor data fusion, based on a three-tier architecture. Heterogeneous data collected by sensors at the lowest tier are combined by a dynamic Bayesian network at the intermediate tier, which also integrates contextual information to refine the infe…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAmbient intelligenceComputer Networks and CommunicationsComputer scienceIntelligent decision support systemInferenceBayesian network020206 networking & telecommunications02 engineering and technologyEnergy consumptionSensor fusioncomputer.software_genreActivity recognitionEnergy conservationContext Data integration Intelligent sensors Sensor phenomena and characterization Bayes methods Energy consumptionIntelligent sensor0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSmart environmentData miningElectrical and Electronic EngineeringWireless sensor networkcomputerSoftwareDynamic Bayesian networkIEEE Transactions on Mobile Computing
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Collective Reasoning over Shared Concepts for the Linguistic Atlas of Sicily

2013

In this chapter, collective intelligence principles are applied in the context of the Linguistic Atlas of Sicily (ALS - Atlante Linguistico Siciliano), an interdisciplinary research focusing on the study of the Italian language as it is spoken in Sicily, and its correlation with the Sicilian dialect and other regional varieties spoken in Sicily. The project has been developed over the past two decades and includes a complex information system supporting linguistic research; recently it has grown to allow research scientists to cooperate in an integrated environment to produce significant scientific advances in the field of ethnologic and sociolinguistic research. An interoperable infrastruc…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMarkup languagebusiness.industryData managementInteroperabilityCollective intelligenceContext (language use)computer.software_genreLinguisticsGeographyCommon knowledgeALSethnologic research sociolinguistic research Linguistic Atlas of Sicily collective reasoningshared concepts Data integration Social interaction Search engineEmergent knowledge Sociolinguistic Spoken Transcription Linguistic annotation Linguistic Phenomena Collective intelligence Information retrieval Audio analysis Wavesurfer Collective Knowledge System information exchange Knowledge Discovery in Database Linguistic framework Interviews Biographic information Meta-linguistic information Social characterization Statistic InformationDiatopiaFilologicheiBatis framework spectrogram analysisMarkup language Geographic information system Pronunciation Linguistic tools Data management SAX builder Results dissemination Geo-localized informationdata exploration geographically referenced visualizationbusinesscomputerInformation exchangeData integration
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Electro Thermo Mechanical Characterization of NiTi Actuator Wire

2010

Shape memory alloy thermo mechanical characterization
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GaN and SiC Device Characterization by a Dedicated Embedded Measurement System

2023

This work proposes a comparison among GaN and SiC device main parameters measured with a dedicated and low-cost embedded system, employing an STM32 microcontroller designed to the purpose. The system has the advantage to avoid the use of expensive laboratory measurement equipment to test the devices, allowing to obtain their behavior in operating conditions. The following KPIs (Key Performance Indicators) are measured and critically compared: threshold voltage, on-resistance and input capacitance. All the measurements are carried out in a short time interval and on a wide range of switching frequencies, ranging from 10 kHz to 1 MHz. This investigation is focused on the deviation of the figu…

SiCSiC; GaN; HEMT; embedded; measurement; high frequency; microcontroller; trapping effects; on-resistance; dynamic on-resistance; GaN/SiC device characterizationComputer Networks and Communicationshigh frequencySettore ING-INF/01 - ElettronicaGaN/SiC device characterizationGaNon-resistancetrapping effectHardware and ArchitectureControl and Systems EngineeringmicrocontrollerSignal Processingdynamic on-resistancemeasurementElectrical and Electronic EngineeringembeddedHEMTElectronics; Volume 12; Issue 7; Pages: 1555
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Surface AFM microscopy of unworn and worn samples of silicone hydrogel contact lenses

2008

Abstract: Purpose. To evaluate the qualitative and quantitative topographic changes in the surface of worn contact lenses (CLs) of different materials using atomic force microscopy (AFM). Methods. The topography of five different CL materials was evaluated withAFM over a surface of 25 lm2 according to previously published experimental setup. Average roughness (Ra) and root mean square (Rms) values were obtained for unworn and worn samples. Results. The Ra value increased for balafilcon A (11.62–13.68 nm for unworn and worn samples, respectively), lotrafilcon A (3.67–15.01 nm for unworn and worn samples, respectively), lotrafilcon B (4.08–8.42 nm for unworn and worn samples, respectively), g…

SiliconSurface characterizationwearMaterials scienceContact LensesSurface PropertiesSiliconesBiomedical Engineering02 engineering and technologySurface finishMicroscopy Atomic ForceHydrogel Polyethylene Glycol DimethacrylateBiomaterialsAtomic force microscopyPolymer deterioration03 medical and health sciences0302 clinical medicineOpticsMaterials TestingMicroscopySurface roughnessComposite materialdegradationScience & TechnologyAtomic force microscopybusiness.industryHydrogelsLotrafilcon BContact lensSilicone hydrogelContact Lenses Hydrophilic021001 nanoscience & nanotechnologyContact lensPseudomonas aeruginosaWettability030221 ophthalmology & optometryWetting0210 nano-technologybusinessJournal of Biomedical Materials Research Part B: Applied Biomaterials
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Selective oxidative dehydrogenation of ethane over SnO2-promoted NiO catalysts

2012

[EN] Ni-Sn-O mixed oxides catalysts have been investigated for the oxidative dehydrogenation of ethane. The catalysts were prepared through the evaporation of aqueous solutions of nickel nitrate and tin oxalate and finally calcined in air at 500 degrees C for 2 h. These materials have been characterized by several techniques (N-2-adsorption, X-ray diffraction, High-Resolution Electron Microscopy, temperature programmed reduction, X-Ray Photoelectron Spectroscopy, Fourier Transformed Infrared Spectroscopy of adsorbed CO and O-18/O-16 isotope exchange). The addition of just a tiny amount of tin highly increases the selectivity to ethylene (from ca. 40% to 80-90%). Thus, high selectivity to et…

SnO2-promotedInorganic chemistrychemistry.chemical_elementInfrared spectroscopyTin oxideCatalysisOxalateCatalysisEthane ODHNiO catalystsEthane oxidationchemistry.chemical_compoundNickelEthyleneTin oxidechemistryDehydrogenationPhysical and Theoretical ChemistryTemperature-programmed reductionTinOxidative dehydrogenation of ethaneNickel oxideCatalyst characterization (XPS HREM oxygen isotope exchange FTIR CO adsorbed)
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New records of Lepidochelys olivacea (Eschscholtz, 1829) (Testudines, Cheloniidae) provide evidence that Uruguayan waters are the southernmost limit …

2017

We report 8 new records of Lepidochelys olivacea marine turtle in the Uruguayan waters, indicating this area as the southernmost limit of distribution for this species in the western Atlantic Ocean. In addition, 1 specimen was subjected to genetic analysis, revealing its population origin in the western Atlantic nesting colonies (Surinam, French Guiana, and Brazil). This report represents an update of the distribution of L. olivacea in the southwestern Atlantic and provides insight into the morphological and genetic characterization of the species at temperate waters.

Southwestern Atlantic Oceangenetic characterizationOlive Ridley Sea Turtle
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The Psychological Science Accelerator’s COVID-19 rapid-response dataset

2023

Funder: Amazon Web Services (AWS) Imagine Grant

Statistics and Probability223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore copingBF Psychology230 Affective NeuroscienceHealth Behaviorand demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73Message framingDiseasesLibrary and Information Sciences:Ciências Sociais::Psicologia [Domínio/Área Científica]geographical and cultural context characterizationHV Social pathology. Social and public welfare. CriminologypandemiatEducationa general questionnaire examining health prevention behaviors and COVID-19 experienceddc:150SDG 3 - Good Health and Well-beingRA0421 Public health. Hygiene. Preventive MedicineSurveys and QuestionnairesAdaptation PsychologicalyleiskartoituksetHumansPendienteHealth behaviorsPandemicsframingBehaviour Change and Well-beingEmotion regulationSelf-determination messagingand self-determination across a diverseCOVID-19kansainvälinen vertailuResearch dataComputer Science Applicationswhich can be merged with other time-sampled or geographic data.cognitive reappraisalsglobal sample obtained at the onset of the COVID-19 pandemicterveyskäyttäytyminenIn response to the COVID-19 pandemic/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingand autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental studyStatistics Probability and UncertaintyPeople’s healthtutkimusaineistosurvey-tutkimusDatasetInformation Systemsthe Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing
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