Search results for " mac"

showing 10 items of 3066 documents

The Riverine Organism Drift Imager: A new technology to study organism drift in rivers and streams

2023

1. Drift or downstream dispersal is a fundamental process in the life cycle of many riverine organisms. In the face of rapidly declining freshwater biodiversity, there is a need to enhance our capacity to study the drift of riverine organisms, by overcoming the limitations of traditional labour-intensive sampling methods that result in data of low temporal and spatial resolution. 2. To address this need, we developed a new technology, the Riverine Organism Drift Imager (RODI), which combines in situ imaging with machine-learning classification. This technique expands on the traditional methodology by replacing the collection cup of a drift net with a camera system that continuously images r…

fishneural networkEcological Modelinghermoverkot (biologia)monitorointistreamscomputer visionriversmonitoringkoneoppiminenmachine learningbenthic invertebrateskonenäköjoetbenthic invertebrates; computer vision; fish; machine learning; monitoring; neural network; rivers; streamsEcology Evolution Behavior and SystematicskalatMethods in Ecology and Evolution
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Comparison between Focused Electron/Ion Beam-Induced Deposition at Room Temperature and under Cryogenic Conditions

2019

This article belongs to the Special Issue Multi-Dimensional Direct-Write Nanofabrication.

focused ion beamMaterials scienceIon beamlcsh:Mechanical engineering and machinery02 engineering and technologyReview01 natural sciencesFocused ion beamIoncircuit editelectrical contacts0103 physical sciencesfocused ion beam-induced depositionDeposition (phase transition)lcsh:TJ1-1570Electrical and Electronic EngineeringThin filmLithographyFocused ion beam-induced deposition010302 applied physicsFocused ion beamNanowiresbusiness.industryMechanical Engineering021001 nanoscience & nanotechnologyElectrical contactsfocused electron beam-induced depositionFocused electron beam-induced depositionthin filmsnanowiresControl and Systems EngineeringOptoelectronicslithographyErratum0210 nano-technologybusinessLayer (electronics)Micromachines
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Tecniche innovative di fotoelasticità digitale in luce bianca

2010

fotoelasticità; elaborazione di immagini; analisi sperimentale delle tensioni; fotoelasticità RGBSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchinefotoelasticitàanalisi sperimentale delle tensionifotoelasticità RGBelaborazione di immagini
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Ottimizzazione della produzione di energia elettrica da impianti fotovoltaici

2014

fotovoltaico riconfigurazione delle connessioni moduli fotovoltaici MPPTSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici
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Preliminary geochemical characterization of gas manifestations in North Macedonia

2020

<p>Like most of the Balkan Peninsula, North Macedonia is a geodynamically active area. As such it has many hydrothermal features and gas manifestations. Until now, no systematic study about the geochemical characterization of the geogenic gases was made before in this country. In August 2019, 24 gas samples were collected in the study area. All, except one collected at Duvalo (soil gas), are gases bubbling or dissolved in thermomineral waters (temperatures from 12 to 66 °C). They were analysed in the laboratory for their chemical (He, Ne, Ar, O<sub>2</sub> , N<sub>2</sub> , H<sub>2</sub&…

gas geochemistry carbon dioxide helium North MacedoniaSettore GEO/08 - Geochimica E Vulcanologia
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BVLOS UAS Operations in Highly-Turbulent Volcanic Plumes.

2020

Long-range, high-altitude Unoccupied Aerial System (UAS) operations now enable in-situ measurements of volcanic gas chemistry at globally-significant active volcanoes. However, the extreme environments encountered within volcanic plumes present significant challenges for both air frame development and in-flight control. As part of a multi-disciplinary field deployment in May 2019, we flew fixed wing UAS Beyond Visual Line of Sight (BVLOS) over Manam volcano, Papua New Guinea, to measure real-time gas concentrations within the volcanic plume. By integrating aerial gas measurements with ground- and satellite-based sensors, our aim was to collect data that would constrain the emission rate of …

gas sensingMeteorologyFlight operationslcsh:Mechanical engineering and machineryUAVBVLOSlcsh:QA75.5-76.95Volcanic GasesArtificial Intelligenceeventlcsh:TJ1-1570Original Researchevent.disaster_typeRobotics and AIgeographygeography.geographical_feature_categoryplumeTurbulenceaerial roboticManamNew guineaComputer Science ApplicationsPlumeaerial robotic Volcanic degassing aerial robotic gas sensing Manam plume UAV unmanned aircraft system (UAS) volcanovolcanoVolcanoVolcanic plumeSoftware deploymentEnvironmental scienceunmanned aircraft system (UAS)lcsh:Electronic computers. Computer scienceFrontiers in robotics and AI
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Hybrid Propulsion Efficiency Increment through Exhaust Energy Recovery—Part 2: Numerical Simulation Results

2023

The efficiency of hybrid electric vehicles may be substantially increased if the energy of exhaust gases, which do not complete the expansion inside the cylinder of the internal combustion engine, is efficiently recovered using a properly designed turbo-generator and employed for vehicle propulsion. Previous studies, carried out by the same authors of this work, showed a potential hybrid vehicle fuel efficiency increment up to 15% employing a 20 kW turbine on a 100 HP-rated power thermal unit. The innovative thermal unit proposed here is composed of a supercharged engine endowed with a properly designed turbo-generator, which comprises two fundamental elements: an exhaust gas turbine expres…

gas turbineControl and OptimizationSettore ING-IND/08 - Macchine A FluidoRenewable Energy Sustainability and the Environmentradial turbineEnergy Engineering and Power TechnologyBuilding and Constructionhybrid electric vehicles (HEVs)Electrical and Electronic Engineeringturbo-generatorEngineering (miscellaneous)Energy (miscellaneous)turbine geometry
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Preliminary Experimental Study on Double Fuel HCCI Combustion

2015

AbstractThis paper regards an experimental study on a particular internal combustion engine process which combines Double Fuel combustion with Homogeneous Charge Compression Ignition (HCCI) using mixtures of natural gas (NG) and gasoline. The tests performed on a CFR engine demonstrate that HCCI combustion can be achieved using NG-gasoline mixtures without knocking occurrence for low to medium engine load varying the proportion between the two fuels. The main advantage of this new combustion process relies on the noticeable higher engine efficiency obtained with respect to conventional spark ignition operation, and on the strong reduction of NOX emissions.

gasolinesimultaneous combustionChemistryHomogeneous charge compression ignitionNatural gaDiesel cycleCombustionNitric OxideAutomotive engineeringlaw.inventionIgnition systemnatural gasSettore ING-IND/08 - Macchine A FluidoInternal combustion engineEnergy(all)lawEngine efficiencyefficiencyCompression ratioHCCIDouble FuelEngine knockingEnergy Procedia
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Modular Point-of-Care Breath Analyzer and Shape Taxonomy-Based Machine Learning for Gastric Cancer Detection

2022

Background: Gastric cancer is one of the deadliest malignant diseases, and the non-invasive screening and diagnostics options for it are limited. In this article, we present a multi-modular device for breath analysis coupled with a machine learning approach for the detection of cancer-specific breath from the shapes of sensor response curves (taxonomies of clusters). Methods: We analyzed the breaths of 54 gastric cancer patients and 85 control group participants. The analysis was carried out using a breath analyzer with gold nanoparticle and metal oxide sensors. The response of the sensors was analyzed on the basis of the curve shapes and other features commonly used for comparison. These f…

gastric cancer; breath analysis; electronic nose; machine learning; screeningClinical BiochemistryDiagnostics
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Machine Translation and Gender biases in video game localisation: a corpus-based analysis

2021

The video game industry has been a historically gender-biased terrain due to a higher number of male protagonists and hypersexualised representations [Dietz, 1998; Downs & Smith, 2010; Lynch et al., 2016]. Nowadays, echoing the debate on inclusive language, companies attempt to erase gender disparity by introducing main female characters as well as non-binary characters. From a technological point of view, even though recent studies show that Machine Translation remains largely unadopted by individual video game localisers [Rivas Ginel, 2021], multilanguage vendors are willing to invest in these tools to reduce costs [LIND, 2020]. However, the predominance of the masculine in Natural La…

gender biasGender biasesNeural Machine Translation NMTNMTcorpusvideo gamescorpora[SHS.LANGUE]Humanities and Social Sciences/LinguisticsVideo game Localisation[SHS.LANGUE] Humanities and Social Sciences/LinguisticsComputingMilieux_MISCELLANEOUSmachine translation
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