Search results for " Match"

showing 10 items of 345 documents

Assessing sampling coverage of species distribution in biodiversity databases

2019

Abstract Aim Biodiversity databases are valuable resources for understanding plant species distributions and dynamics, but they may insufficiently represent the actual geographic distribution and climatic niches of species. Here we propose and test a method to assess sampling coverage of species distribution in biodiversity databases in geographic and climatic space. Location Europe. Methods Using a test selection of 808,794 vegetation plots from the European Vegetation Archive (EVA), we assessed the sampling coverage of 564 European vascular plant species across both their geographic ranges and realized climatic niches. Range maps from the Chorological Database Halle (CDH) were used as bac…

0106 biological sciencesChorological Database Halle (CDH)Range (biology)multi-scale[SDE.MCG]Environmental Sciences/Global Changesvegetation-plot databasesSpecies distributionPlant Science[SDV.BID]Life Sciences [q-bio]/Biodiversitycomputer.software_genre010603 evolutionary biology01 natural sciencesmacro-ecology333: Bodenwirtschaft und Ressourcen577: ÖkologieRealized niche widthMacroecologyEcological niche[SDV.EE]Life Sciences [q-bio]/Ecology environmentspatial scaleEcologyDatabaseNull modelvegetation plot databasesclimatic nichevascular plantSampling (statistics)species rangeVegetation15. Life on landDynamic Match Coefficient (DMC)sampling biasGeographyrealized niche1181 Ecology evolutionary biologymacroecology[SDE.BE]Environmental Sciences/Biodiversity and Ecologycomputer010606 plant biology & botanyEuropean Vegetation Archive (EVA)
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Variation in timing of breeding of five woodpeckers in a primeval forest over 45 years: role of food, weather, and climate

2020

AbstractClimate warming could lead to ‘mis-matching’ of birds’ breeding times with availability of their invertebrate food resources. Fluctuating spring temperatures could influence variation in the commencement of egg-laying, as well as, in phenology of their resources (e.g., tree bud burst, appearance of folivorous caterpillars). We studied timing of Dendrocopos leucotos, Dendrocoptes medius, Dendrocopos major, Dryobates minor, and Picoides tridactylus breeding in, free of direct human intervention, strictly protected fragments of Białowieża Forest (Poland) in 1975–2019. We related their onset of breeding to inter-year variation in spring weather, trees’ bud burst and timing of folivorous…

0106 biological sciencesgeographyCaterpillar peakgeography.geographical_feature_categorybiologyNational parkRange (biology)PhenologyTemporal food matchingZoologyDendrocopos leucotosBiałowieża national parkSeasonalitymedicine.diseasebiology.organism_classificationOld-growth forest010603 evolutionary biology01 natural sciences010605 ornithologymedicineDendrocopos majorPicoides tridactylusPrimeval forestJournal of Ornithology
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Camouflage accuracy in Sahara–Sahel desert rodents

2020

1. Camouflage helps animals to hide from predators and is therefore key to survival. Although widespread convergence of animal phenotypes to their natural environment is well-established, there is a lack of knowledge about how species compromise camouflage accuracy across different background types in their habitat.2. Here we tested how background matching has responded to top–down selection by avian and mammalian predators using Sahara–Sahel desert rodents in North Africa.3. We show that the fur colouration of several species has become an accurate match to different types of desert habitats. This is supported by a correlation analysis of colour and pattern metrics, investigation of animal…

0106 biological sciencesgerbillinaeRodentiavision modelGeneralist and specialist speciesbackground matching010603 evolutionary biology01 natural sciencesPredationBirds/dk/atira/pure/core/keywords/cognitive_scienceAfrica Northern/dk/atira/pure/core/keywords/visual_perceptionAnimalsDesertPredatorEcology Evolution Behavior and SystematicsEcosystemtop-down selectiondipodinaeEcology010604 marine biology & hydrobiologyDesert (particle physics)TaxonGeographyHabitatCamouflagePredatory BehaviorVisual PerceptionCognitive ScienceAnimal Science and ZoologyAdaptationQCPA
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Selective visual odometry for accurate AUV localization

2015

In this paper we present a stereo visual odometry system developed for autonomous underwater vehicle localization tasks. The main idea is to make use of only highly reliable data in the estimation process, employing a robust keypoint tracking approach and an effective keyframe selection strategy, so that camera movements are estimated with high accuracy even for long paths. Furthermore, in order to limit the drift error, camera pose estimation is referred to the last keyframe, selected by analyzing the feature temporal flow. The proposed system was tested on the KITTI evaluation framework and on the New Tsukuba stereo dataset to assess its effectiveness on long tracks and different illumina…

0209 industrial biotechnologyComputer scienceVisual odometryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyKeyframe selectionRANSAC020901 industrial engineering & automationOdometryArtificial Intelligence0202 electrical engineering electronic engineering information engineeringComputer vision14. Life underwaterVisual odometryUnderwaterAUVPoseSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRANSACSettore INF/01 - InformaticaFeature matchingbusiness.industryProcess (computing)StereoFeature (computer vision)020201 artificial intelligence & image processingArtificial intelligenceUnderwaterbusinessStereo cameraAutonomous Robots
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Accurate keyframe selection and keypoint tracking for robust visual odometry

2016

This paper presents a novel stereo visual odometry (VO) framework based on structure from motion, where a robust keypoint tracking and matching is combined with an effective keyframe selection strategy. In order to track and find correct feature correspondences a robust loop chain matching scheme on two consecutive stereo pairs is introduced. Keyframe selection is based on the proportion of features with high temporal disparity. This criterion relies on the observation that the error in the pose estimation propagates from the uncertainty of 3D points—higher for distant points, that have low 2D motion. Comparative results based on three VO datasets show that the proposed solution is remarkab…

0209 industrial biotechnologyMatching (graph theory)Computer scienceVisual odometryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyKeyframe selectionRANSAC020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringStructure from motionComputer visionVisual odometryVisual Odometry Structure from Motion RANSAC feature matching keyframe selectionPoseSelection (genetic algorithm)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRANSACSettore INF/01 - InformaticaFeature matchingbusiness.industryStructure from motionPattern recognitionComputer Science ApplicationsHardware and ArchitectureFeature (computer vision)Pattern recognition (psychology)020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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Automatic Acoustic Target Detecting and Tracking on the Azimuth Recording Diagram with Image Processing Methods

2019

International audience; Passive acoustic target detection has been a hot research topic for a few decades. Azimuth recording diagram is one of the most promising techniques to estimate the arrival direction of the interested signal by visualizing the sound wave information. However, this method is challenged by the random ambient noise, resulting in low reliability and short effective distance. This paper presents a real-time postprocessing framework for passive acoustic target detection modalities by using a sonar array, in which image processing methods are used to automate the target detecting and tracking on the azimuth recording diagram. The simulation results demonstrate that the prop…

0209 industrial biotechnologytarget detectingComputer scienceprincipal component analysisAmbient noise levelImage processing02 engineering and technologypassive detectionTracking (particle physics)01 natural sciencesBiochemistrySonarSignaldirection of arrivalArticleAnalytical Chemistry[SPI]Engineering Sciences [physics]020901 industrial engineering & automation[CHIM]Chemical SciencesComputer visionElectrical and Electronic EngineeringInstrumentationSound wave0105 earth and related environmental sciencestemplate matching010505 oceanographybusiness.industryTemplate matchingDirection of arrivalAtomic and Molecular Physics and Opticsimage processing[SPI.TRON]Engineering Sciences [physics]/ElectronicsAzimuthArtificial intelligencebusinesstarget tracking
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Secure and Privacy Preserving Pattern Matching in Distributed Cloud-based Data Storage

2019

Given two strings: pattern $p$ of length $m$ and text $t$ of length $n$ . The string matching problem is to find all (or some) occurrences of the pattern $p$ in the text $t$ . We introduce a new simple data structure, called index arrays, and design fast privacy-preserving matching algorithm for string matching. The motivation behind introducing index arrays is determined by the need for pattern matching on distributed cloud-based datasets with semi-trusted cloud providers. It is intended to use encrypted index arrays both to improve performance and protect confidentiality and privacy of user data.

021110 strategic defence & security studiesTheoretical computer scienceComputer sciencebusiness.industry0211 other engineering and technologiesCloud computing02 engineering and technologyString searching algorithmData structureEncryptionSimple (abstract algebra)Computer data storagePattern matchingbusinessBlossom algorithm2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
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A Propensity Score-matched Comparison of Infliximab and Adalimumab in Tumour Necrosis Factor-α Inhibitor-naïve and Non-naïve Patients with Crohn's Di…

2019

Background and aims There is an unmet need to better understand the effectiveness of different biologics in inflammatory bowel diseases. We aimed at performing a multicentre, real-life comparison of the effectiveness of infliximab [IFX] and adalimumab [ADA] in Crohn's disease [CD]. Methods Data of consecutive patients with CD treated with IFX and ADA from January 2013 to May 2017 were extracted from the cohort of the Sicilian Network for Inflammatory Bowel Disease. We used propensity score-matching accounting for the main baseline characteristics in TNF-α inhibitor-naive and non-naive patients. Results A total of 632 patients [735 total treatments] were included. Among naive patients, a cli…

0301 basic medicineAdultMalemedicine.medical_specialtyInflammatory bowel diseaseGastroenterology03 medical and health sciencesYoung Adult0302 clinical medicineCrohn DiseaseGastrointestinal AgentsInternal medicinemedicineAdalimumabHumansYoung adultSicilypropensity scoreCrohn's diseasebusiness.industryTumor Necrosis Factor-alphaGastroenterologyAdalimumabGeneral MedicineOdds ratiomedicine.diseaseAdalimumab; infliximab; propensity score; Adalimumab; Adult; Crohn Disease; Female; Gastrointestinal Agents; Humans; Infliximab; Male; Propensity Score; Sicily; Treatment Outcome; Tumor Necrosis Factor-alpha; Young AdultInfliximab030104 developmental biologyTreatment OutcomeCohortPropensity score matching030211 gastroenterology & hepatologyFemalebusinessinfliximabmedicine.drug
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The colored longest common prefix array computed via sequential scans

2018

Due to the increased availability of large datasets of biological sequences, the tools for sequence comparison are now relying on efficient alignment-free approaches to a greater extent. Most of the alignment-free approaches require the computation of statistics of the sequences in the dataset. Such computations become impractical in internal memory when very large collections of long sequences are considered. In this paper, we present a new conceptual data structure, the colored longest common prefix array (cLCP), that allows to efficiently tackle several problems with an alignment-free approach. In fact, we show that such a data structure can be computed via sequential scans in semi-exter…

0301 basic medicineFOS: Computer and information sciencesAlignment-free methodsBurrows–Wheeler transformComputer scienceComputationAverage common substring0206 medical engineeringMatching statisticsScale (descriptive set theory)02 engineering and technologyTheoretical Computer Science03 medical and health sciencesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Burrows-wheeler transformString (computer science)Computer Science (all)LCP arrayMatching statisticData structureSubstring030104 developmental biologyAlignment-free methods; Average common substring; Burrows-wheeler transform; Longest common prefix; Matching statistics; Theoretical Computer Science; Computer Science (all)Pairwise comparisonLongest common prefixAlgorithm020602 bioinformaticsAlignment-free method
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Co-circulation of the two influenza B lineages during 13 consecutive influenza surveillance seasons in Italy, 2004-2017

2019

AbstractBackgroundSince 1985, two antigenically distinct lineages of influenza B viruses (Victoria-like and Yamagata-like) have circulated globally. Trivalent seasonal influenza vaccines contain two circulating influenza A strains but a single B strain and thus provide limited immunity against circulating B strains of the lineage not included in the vaccine. In this study, we describe the characteristics of influenza B viruses that caused respiratory illness in the population in Italy over 13 consecutive seasons of virological surveillance, and the match between the predominant influenza B lineage and the vaccine B lineage, in each season.MethodsFrom 2004 to 2017, 26,886 laboratory-confirme…

0301 basic medicineInfluenza virological surveillance Influenza B virus Victoria lineage Yamagata lineage Vaccine matchmedicine.medical_specialtyLineage (evolution)PopulationInfluenza B viruHemagglutinin (influenza)Vaccine matchSettore MED/42 - Igiene Generale E ApplicataViruslcsh:Infectious and parasitic diseases03 medical and health sciences0302 clinical medicineMedical microbiologyImmunityRetrospective StudieInfluenza HumanmedicineHumanslcsh:RC109-216030212 general & internal medicineeducationPhylogenyRetrospective Studieseducation.field_of_studybiologyStrain (biology)Victoria lineageInfluenza B virus; Influenza virological surveillance; Italy; Vaccine match; Victoria lineage; Yamagata lineageVirologyInfluenzaInfluenza B virus030104 developmental biologyInfectious DiseasesInfluenza virological surveillanceParasitologyItalyInfluenza VaccinesInfluenza virological surveillance Influenza B virus Victoria lineage Yamagata lineage Vaccine match ItalyEpidemiological Monitoringbiology.proteinInfluenza B virus; Influenza virological surveillance; Italy; Vaccine match; Victoria lineage; Yamagata lineage; Epidemiological Monitoring; Humans; Influenza B virus; Influenza Vaccines; Influenza Human; Italy; Phylogeny; Retrospective Studies; SeasonsSeasonsInfluenza VaccineYamagata lineageResearch ArticleHuman
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