Search results for " Detection"

showing 10 items of 1676 documents

A Method Based on Multi-source Feature Detection for Counting People in Crowded Areas

2019

We propose a crowd counting method for multisource feature fusion. Image features are extracted from multiple sources, and the population is estimated by image feature extraction and texture feature analysis, along with for crowd image edge detection. We count people in high-density still images. For instance, in the city’s squares, sports fields, subway stations, etc. Our approach uses a still image taken by a camera on a drone to appraise the count in the population density image, using a kind of sources of information: HOG, LBP, CANNY. We furnish separate estimates of counts and other statistical measurements through several types of sources. Support vector machine SVM, classification an…

education.field_of_studyWarning systembusiness.industryFeature extractionPopulationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRegression analysisPattern recognitionImage (mathematics)Support vector machineArtificial intelligencebusinesseducationMulti-sourceFeature detection (computer vision)2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP)
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Application of a Bayesian Spatiotemporal Surveillance Method to NYC Syndromic Data

2014

Incorporating prior knowledge (e.g., the spatial distribution of zip codes and background population effects) into a model using Bayesian methods could potentially improve outbreak detection. We adapted a previously described Bayesian model-based spatiotemporal surveillance technique to daily respiratory syndrome counts in NYC Emergency Department data in 2009, the year of the H1N1 influenza pandemic. Citywide, 56 alarms were produced across 15 zip codes, all during days of elevated respiratory visits. Future work includes evaluating our choice of baseline length, considering other alarm thresholds, and conducting a formal evaluation of the method across five syndromes in NYC.

education.field_of_studybusiness.industryBayesian probabilityH1N1 influenzaPopulationEmergency departmentISDS 2013 Conference Abstractscomputer.software_genreBayesian inferenceZip codeFormal evaluationspatiotemporal dataPandemicoutbreak detectionGeneral Earth and Planetary SciencesMedicinesyndromic surveillanceData miningbusinesseducationcomputerCartographyBayesian modelsGeneral Environmental ScienceOnline Journal of Public Health Informatics
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Anomaly Detection in Dynamic Social Systems Using Weak Estimators

2009

Anomaly detection involves identifying observationsthat deviate from the normal behavior of a system. One ofthe ways to achieve this is by identifying the phenomena thatcharacterize “normal” observations. Subsequently, based on thecharacteristics of data learned from the “normal” observations,new observations are classified as being either “normal” or not.Most state-of-the-art approaches, especially those which belongto the family parameterized statistical schemes, work under theassumption that the underlying distributions of the observationsare stationary. That is, they assume that the distributions thatare learned during the training (or learning) phase, thoughunknown, are not time-varyin…

education.field_of_studybusiness.industryComputer sciencePopulationEstimatorMachine learningcomputer.software_genreOutlierAnomaly detectionArtificial intelligenceData miningAnomaly (physics)businesseducationcomputer2009 International Conference on Computational Science and Engineering
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Detection ofEPOgene doping in blood

2012

Gene doping--or the abuse of gene therapy--will continue to threaten the sports world. History has shown that progress in medical research is likely to be abused in order to enhance human performance. In this review, we critically discuss the progress and the risks associated with the field of erythropoietin (EPO) gene therapy and its applicability to EPO gene doping. We present typical vector systems that are employed in ex vivo and in vivo gene therapy trials. Due to associated risks, gene doping is not a feasible alternative to conventional EPO or blood doping at this time. Nevertheless, it is well described that about half of the elite athlete population is in principle willing to risk …

education.field_of_studybusiness.industryTransgeneGenetic enhancementPopulationPharmaceutical SciencePharmacologyBioinformaticsAnalytical ChemistryBlood dopingSubstance Abuse DetectionGene dopingErythropoietinEnvironmental ChemistryMedicineeducationbusinessGeneSpectroscopymedicine.drugDrug Testing and Analysis
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El Trastorno Dismórfico Corporal: un problema infra-diagnosticado

2017

Resumen: Aunque el Trastorno Dismorfico Corporal (TDC) es conocido desde hace siglos, solo hasta hace poco se ha intensificado su estudio e investigacion. En los ultimos anos se han hecho avances importantes para comprender los distintos aspectos relacionados con el TDC, aun infradiagnosticado. El proposito de este trabajo es presentar una actualizacion sobre el estatus del TDC. Se examinan, entre otros aspectos, la etiopatogenia, la epidemiologia, las complicaciones asociadas y la explicacion cognitivo-conductual del trastorno. Tambien se analizan los cambios recientes en su clasificacion y las implicaciones derivadas. Desde esta perspectiva se aportan algunos datos provenientes de nuestra…

education.field_of_studymedia_common.quotation_subjectPopulationEarly detectionArtmedicine.diseasePsychiatry and Mental healthClinical PsychologyBody dysmorphic disordermedicineeducationCartographyHumanitiesmedia_commonRevista de Psicopatología y Psicología Clínica
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SEAL program – Early detection of liver fibrosis and cirrhosis by screening of the general population

2021

education.field_of_studymedicine.medical_specialtyCirrhosisbusiness.industryLiver fibrosisPopulationEarly detectionmedicine.diseaseSeal (mechanical)GastroenterologyInternal medicinemedicineeducationbusinessZeitschrift für Gastroenterologie
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Comparison of mechanical properties and composition of magnetron sputter and plasma enhanced atomic layer deposition aluminum nitride films

2018

A comparative study of mechanical properties and elemental and structural composition was made for aluminum nitride thin films deposited with reactive magnetron sputtering and plasma enhanced atomic layer deposition (PEALD). The sputtered films were deposited on Si (100), Mo (110), and Al (111) oriented substrates to study the effect of substrate texture on film properties. For the PEALD trimethylaluminum–ammonia films, the effects of process parameters, such as temperature, bias voltage, and plasma gas (ammonia versus N2/H2), on the AlN properties were studied. All the AlN films had a nominal thickness of 100 nm. Time-of-flight elastic recoil detection analysis showed the sputtered films t…

elastic moduliMaterials scienceta22102 engineering and technologySubstrate (electronics)mechanical propertiesNitride01 natural sciencesAtomic layer depositionSputtering0103 physical sciencesTexture (crystalline)Composite materialThin filmta216kemiallinen analyysiAlNsputter deposition010302 applied physicsta114Surfaces and InterfacesSputter deposition021001 nanoscience & nanotechnologyCondensed Matter PhysicsX-ray diffractionfysikaaliset ominaisuudetSurfaces Coatings and FilmsElastic recoil detectionmetrologythin filmsAtomic Layer DepositionmetrologiaALDmechanical testingchemical analysisaluminum nitridesputteringohutkalvot0210 nano-technologyJournal of Vacuum Science & Technology A
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The TRAPSENSOR facility: an open-ring 7 tesla Penning trap for laserbased precision experiments

2019

APenning-trap facility for high-precision mass spectrometry based on a novel detection method has been built. This method consists in measuring motional frequencies of singly-charged ions trapped in strong magnetic fields through the fluorescence photons from laser-cooled 40Ca+ ions, to overcome limitations faced in electronic single-ion detection techniques. The key element of this facility is an open-ring Penning trap coupled upstream to a preparation Penning trap similar to those used at Radioactive Ion Beam facilities. Here we present a full characterization of the trap and demonstrate motional frequency measurements of trapped ions stored by applying external radiofrequency fields in r…

electronPhysics - Instrumentation and DetectorsPenning trapSpectrometry techniqueGeneral Physics and Astronomy7. Clean energy01 natural sciencesFrequency measurements010305 fluids & plasmasdecayLaser coolingStrong magnetic fieldsPaul trapPhysics::Atomic PhysicsLaser beamsmass spectrometryPhysicsQuantum PhysicsprotonsEuropean researchInstrumentation and Detectors (physics.ins-det)Beam preparationRadioactive ion beam facilitybeam preparationIon beamsperformanceLaser beamsspectroscopyFOS: Physical sciencesFluorescenceFluorescence detectionFrequency measurementslaser coolingRadio-frequency fields0103 physical sciencesOptical systemsTrapped ionsddc:530010306 general physicsshiptrapIonsPhotonsMass spectrometrysetuppenning trapmass-spectrometryfluorescence detectionionQuantum Physics (quant-ph)Humanities
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Detection of Parietaria Mottle Virus by RT-qPCR: An Emerging Virus Native of Mediterranean Area That Undermine Tomato and Pepper Production in Southe…

2021

Parietaria mottle virus (PMoV) is considered an emerging virus in many countries of the Mediterranean basin, especially on tomato and pepper crops. Symptoms on tomato leaves and fruits can be easily confused with those induced by cucumber mosaic virus (CMV) with necrogenic satellite RNA (CMV-satRNA), tomato spotted wilt virus (TSWV) or tomato mosaic virus (ToMV). Mixed infection of these viruses has been also reported in some tomato cultivars, with an increase in the complexity of the symptoms and severity of the disease. Although a specific serum and riboprobes have been produced, nowadays no sensitive diagnostic methods are available for the rapid PMoV detection. Here, we have developed a…

emerging virusbiologyfungiRT-qPCRPlant culturefood and beveragesSettore AGR/12 - Patologia Vegetalefield surveyPlant Sciencebiology.organism_classificationemerging viruVirologyVirusSB1-1110Cucumber mosaic virusPMoV; RT-qPCR; early detection; emerging virus; field surveyPepperMethodsTaqManTomato mosaic virusSatellite (biology)CultivarPMoVearly detectionPathogen
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Vizuālās informācijas ietekme uz sāpju slieksni.

2020

Maģistra darbs ir uzrakstīts angļu valodā uz 36 lapam. Tas satur 17 attēlus, 4 tabulas u 82 atsauces. Mērķis: Izpētīt, kā dažādas tematiskās fotogrāfijas modulē sāpju noteikšanas sliekšņus, un novērtētu emocionālās fotogrāfijas izmantojot pašnovērtējuma manekenu metodi (SAM). Metodes: 21 sievietei sāpju noteikšanas sliekšņi tika izmērīti ar pakāpeniski pieaugoša sprieguma padevi dalībnieku apakšdelmiem. Rezultāti: Sāpju noteikšanas sliekšņi tika samazināti ar negatīvām valences fotogrāfijām (attēlojot vardarbību, dzīvnieku un cilvēku uzbrukumus, zaudējumus). Skatoties neitrālās un pozitīvās fotogrāfijas, sāpju noteikšanas sliekšņi neatšķīrās. SAM pozitīvo fotogrāfiju vērtējumi atklāja augst…

emotional photograph ratingsSelf-Assessment Manikin (SAM)FizikaInternational Affective Picture System (IAPS)pain reductionpain detection thresholds
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