Search results for "feature"

showing 10 items of 4091 documents

Ecological and agronomic importance of the plant genus Lotus. Its application in grassland sustainability and the amelioration of constrained and con…

2010

The genus Lotus comprises around 100 annual and perennial species with worldwide distribution. The relevance of Lotus japonicus as a model plant has been recently demonstrated in numerous studies. In addition, some of the Lotus species show a great potential for adaptation to a number of abiotic stresses. Therefore, they are relevant components of grassland ecosystems in environmentally constrained areas of several South American countries and Australia, where they are used for livestock production. Also, the fact that the roots of these species form rhizobial and mycorrhizal associations makes the annual L. japonicus a suitable model plant for legumes, particularly in studies directed to r…

Conservation of Natural ResourcesPerennial plantLotusLotus japonicusPlant SciencePlant RootsGrasslandMetals HeavyGeneticsSoil PollutantsRevegetationSymbiosisEcosystemAbiotic componentgeographygeography.geographical_feature_categorybiologyEcologyAbiotic stressAustraliaGeneral MedicineSouth Americabiology.organism_classificationAdaptation PhysiologicalEuropeLotusLotus tenuisAgronomy and Crop SciencePlant Science
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Utility of island populations in re-introduction programmes--relationships between Arabian gazelles (Gazella arabica) from the Farasan Archipelago an…

2014

Understanding local adaptation and population differentiation is vital to the success of re-introduction initiatives. As other mammals living on islands, Arabian gazelles (G. arabica) show reduced body size on the Farasan archipelago, which we corroborated in this study through morphometric analyses of skulls. In the light of the steep population decline on the Arabian Peninsula – but stable population development on the archipelago – we tested the potential suitability of Farasan gazelles as a source for re-introductions on the mainland. We therefore investigated genetic differentiation between Farasan and mainland populations using eleven nuclear microsatellite loci and detected a distinc…

Conservation of Natural ResourcesPopulationEndangered speciesSaudi ArabiaBiologyEvolution MolecularPeninsulaparasitic diseasesCaptive breedingGeneticsAnimalseducationEcology Evolution Behavior and SystematicsLocal adaptationIslandsPopulation Densityeducation.field_of_studygeographygeography.geographical_feature_categoryEcologyEndangered SpeciesGenetic VariationAdaptation PhysiologicalhumanitiesPopulation declineGenetics PopulationAntelopesArchipelagoMainlandgeographic locationsMicrosatellite RepeatsMolecular ecology
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Jalapeno or jalapeño: Do diacritics in consonant letters modulate visual similarity effects during word recognition?

2020

AbstractPrior research has shown that word identification times to DENTIST are faster when briefly preceded by a visually similar prime (dentjst; i↔j) than when preceded by a visually dissimilar prime (dentgst). However, these effects of visual similarity do not occur in the Arabic alphabet when the critical letter differs in the diacritical signs: for the target the visually similar one-letter replaced prime (compare and is no more effective than the visually dissimilar one-letter replaced prime Here we examined whether this dissociative pattern is due to the special role of diacritics during word processing. We conducted a masked priming lexical decision experiment in Spanish using target…

ConsonantLinguistics and LanguageSpeech recognition05 social sciencesWord processingExperimental and Cognitive Psychology050105 experimental psychologyLanguage and Linguistics03 medical and health sciencesPrime (symbol)0302 clinical medicineSimilarity (psychology)Word recognitionComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLexical decision taskFeature (machine learning)0501 psychology and cognitive sciencesPsychologyPriming (psychology)030217 neurology & neurosurgeryGeneral PsychologyApplied Psycholinguistics
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Comparative life-cycle assessment of conventional (double lane) and non-conventional (turbo and flower) roundabout intersections

2016

Abstract This research studied and compared different construction techniques for the road subgrade, embankment and pavement of different types of roundabout intersections in order to assess their environmental sustainability. A Life Cycle Assessment (LCA) was carried out on double lane, turbo- and flower roundabouts. We considered virgin materials and reclaimed asphalt pavement (RAP) for the pavement construction. Also the environmental effects due to in situ lime stabilization of fine-grained soils were assessed in order to reduce the use of virgin material in road subgrades. The use of reclaimed asphalt pavement (RAP) can lead to a significant reduction in pollutant emissions and energy …

Construction managementSoil stabilizationReclaimed asphalt pavement (RAP)CostRoundaboutTransportation010501 environmental sciencesengineering.material01 natural sciencesCivil engineering0502 economics and businessSoil stabilizationSettore ICAR/04 - Strade Ferrovie Ed AeroportiLife-cycle assessment0105 earth and related environmental sciencesGeneral Environmental ScienceCivil and Structural EngineeringLime050210 logistics & transportationgeographygeography.geographical_feature_category2300business.industry05 social sciencesSubgradeEnergy consumptionRoad pavementRoundaboutengineeringLife cycle assessment (LCA)businessLevee
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Photovoltaic electricity scenario analysis in urban contests: an Italian case study

2012

Abstract This paper shows a methodology for the assessment of the photovoltaic potential in urban areas using Google Earth™ tool that provides either satellite images of the roofs of buildings or their number of floors by means of the Street View function. The applicability of the methodology has been tested on a selected urban area of the city of Palermo in the South of Italy. After classifying roofs according to the shape, orientation and pitch of buildings with different morphologies, the share of energy generated by the installable PV systems was evaluated with regard to the number of floors. Moreover the coverage of the electricity demand was investigated on the basis of the consumptio…

Consumption (economics)Engineeringgeographygeography.geographical_feature_categorySettore ING-IND/11 - Fisica Tecnica AmbientaleRenewable Energy Sustainability and the Environmentbusiness.industrymedia_common.quotation_subjectPhotovoltaic systemPhotovoltaic generation Cover factor MismatchEnvironmental economicsUrban areaCivil engineeringIncentiveProduction (economics)Scenario analysisElectricitybusinessFunction (engineering)media_common
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Hydrogeochemical changes during managed aquifer recharge (MAR) in a salinised coastal aquifer

2021

15 p. - Supplementary data to this article can be found online at https://doi.org/10.1016/j.apgeochem.2020.104866. - The data used to support the findings of this study are available from http://repositori.uji.es/xmlui/handle/10803/620641.

Context (language use)AquiferSoil science010501 environmental sciences010502 geochemistry & geophysics01 natural scienceschemistry.chemical_compoundNitrateManaged aquifer rechargeGeochemistry and PetrologyEnvironmental ChemistrySulfate0105 earth and related environmental sciencesgeographygeography.geographical_feature_categoryBrackish waterGroundwater rechargeMixing ratiosPollutionSpanish mediterranean aquiferchemistryHydrogeochemical processesEnvironmental scienceCarbonateGroundwater
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Kernels for Remote Sensing Image Classification

2015

Classification of images acquired by airborne and satellite sensors is a very challenging problem. These remotely sensed images usually acquire information from the scene at different wavelengths or spectral channels. The main problems involved are related to the high dimensionality of the data to be classified and the very few existing labeled samples, the diverse noise sources involved in the acquisition process, the intrinsic nonlinearity and non-Gaussianity of the data distribution in feature spaces, and the high computational cost involved to process big data cubes in near real time. The framework of statistical learning in general, and of kernel methods in particular, has gained popul…

Contextual image classificationComputer sciencebusiness.industryBig dataProcess (computing)Image processingcomputer.software_genreKernel methodFeature (computer vision)Remote sensing (archaeology)Data miningNoise (video)businesscomputerRemote sensing
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Optimized spatio-temporal descriptors for real-time fall detection: comparison of support vector machine and Adaboost-based classification

2013

We propose a supervised approach to detect falls in a home environment using an optimized descriptor adapted to real-time tasks. We introduce a realistic dataset of 222 videos, a new metric allowing evaluation of fall detection performance in a video stream, and an automatically optimized set of spatio-temporal descriptors which fed a supervised classifier. We build the initial spatio-temporal descriptor named STHF using several combinations of transformations of geometrical features (height and width of human body bounding box, the user’s trajectory with her/his orientation, projection histograms, and moments of orders 0, 1, and 2). We study the combinations of usual transformations of the…

Contextual image classificationComputer sciencebusiness.industryFeature extractionWavelet transformFeature selectionPattern recognitionAtomic and Molecular Physics and OpticsComputer Science ApplicationsSupport vector machineMinimum bounding boxRobustness (computer science)Computer visionAdaBoostArtificial intelligenceElectrical and Electronic EngineeringbusinessJournal of Electronic Imaging
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Cloud-screening algorithm for ENVISAT/MERIS multispectral images

2007

This paper presents a methodology for cloud screening of multispectral images acquired with the Medium Resolution Imaging Spectrometer (MERIS) instrument on-board the Environmental Satellite (ENVISAT). The method yields both a discrete cloud mask and a cloud-abundance product from MERIS level-lb data on a per-pixel basis. The cloud-screening method relies on the extraction of meaningful physical features (e.g., brightness and whiteness), which are combined with atmospheric-absorption features at specific MERIS-band locations (oxygen and watervapor absorptions) to increase the cloud-detection accuracy. All these features are inputs to an unsupervised classification algorithm; the cloud-proba…

Contextual image classificationPixelComputer sciencebusiness.industryMultispectral imageFeature extractionImaging spectrometer550 - Earth sciencesImage processingCloud computingSnowSpectral lineMultispectral pattern recognitionGeneral Earth and Planetary SciencesElectrical and Electronic EngineeringbusinessAstrophysics::Galaxy AstrophysicsWater vaporRemote sensing
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Classification based on Iterative Object Symmetry Transform

2004

The paper shows an application of a new operator named the iterated object transform (IOT) for cell classification. The IOT has the ability to grasp the internal structure of a digital object and this feature can be usefully applied to discriminate structured images. This is the case of cells representing chondrocytes in bone tissue, giarda protozoan, and myeloid leukaemia. A tree classifier allows us to discriminate the three classes with a good accuracy.

Contextual image classificationSettore INF/01 - Informaticabusiness.industryIterative methodFeature extractionGRASPCognitive neuroscience of visual object recognitionPattern recognitionIterated functionComputer visionArtificial intelligencebusinessClassifier (UML)Classification Medical imaging clusteringMathematicsDigital object
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