Search results for "DETECT"

showing 10 items of 5902 documents

Photodétecteurs UV à base GaAlN

2004

UV photodetectors AlGaNSettore ING-INF/01 - Elettronica
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Trigger and aperture of the surface detector array of the Pierre Auger Observatory

2010

The surface detector array of the Pierre Auger Observatory consists of 1600 water-Cherenkov detectors, for the study of extensive airshowers (EAS) generated by ultra-high-energy cosmic rays. We describe the trigger hierarchy, from the identification of candidates howers at the level of a single detector, amongst a large background (mainly random single cosmic ray muons), up to the selection of real events and the rejection of random coincidences. Such trigger makes the surface detector array fully efficient for the detection of EAS with energy above 3 x 1018 eV, for all zenith angles between 03 and 603, independently of the position of the impact point and of the mass of the primary particl…

Ultra high energy cosmic rays; Auger Observatory; Extensive air showers; Trigger; ExposurePhysics::Instrumentation and DetectorsAstronomyHigh-Energy Cosmi Ray7. Clean energy01 natural sciencesAugerAcceptance and Trigger Efficiency010303 astronomy & astrophysicsInstrumentationComputingMilieux_MISCELLANEOUSPhysicsRange (particle radiation)PhysicsDetectorAstrophysics::Instrumentation and Methods for AstrophysicsPierre Auger ObservatoryHigh energyFísica nuclearAstrophysics - Instrumentation and Methods for AstrophysicsNuclear and High Energy Physics[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]AIR SHOWERSApertureInstrumentationAstrophysics::High Energy Astrophysical PhenomenaExtensive air showerFOS: Physical sciencesCosmic rayENERGIACosmic RayUltra high energy cosmic rayExposureOpticsultra high energy cosmic rays Auger Observatory extensive airshowers trigger exposure0103 physical sciencesPARTICLESExtensive air showersSurface DetectorInstrumentation and Methods for Astrophysics (astro-ph.IM)ZenithCiencias ExactasNuclear and High Energy PhysicPierre Auger Observatory010308 nuclear & particles physicsbusiness.industryFísicaUltra high energy cosmic raysUltra-high energy cosmic rays[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]TriggerAuger ObservatoryExperimental High Energy PhysicsHigh Energy Physics::Experimentbusiness
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Modeling, Design and Experimentation of Wearable RFID Sensor Tag

2010

Design of effective wearable tags for UHF RFID applications involving persons is still an open challenge due to the strong interaction of the antenna with the human body which is responsible of impedance detuning and efficiency degradation. A new tag geometry combining folded conductors and tuning slots is here discussed through numerical analysis and extensive experimentation also including the integration of a passive motion detector. The achieved designs, having size comparable with a credit card, may be applied to any part of the body. The measured performance indicates a possible application of these body-worn tags for the continuous tracking of human movements in a conventional room.

Ultra high frequencyComputer sciencebusiness.industryWearable Antenna RFIDDetectorElectronic engineeringElectrical engineeringWearable computerRadio-frequency identificationElectrical and Electronic EngineeringAntenna (radio)business
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Occurrence of priority pollutants in WWTP effluents and Mediterranean coastal waters of Spain

2011

A comprehensive study aimed at evaluating the occurrence, significance of concentrations and spatial distribution of priority pollutants (PPs) along the Comunidad Valenciana coastal waters (Spain) was carried out in order to fulfil the European Water Framework Directive (WFD). Additionally, PP concentrations were also analysed in the effluent of 28 WWTPs distributed along the studied area. In coastal waters 36 organic pollutants of the 71 analysed, including 26 PPs were detected although many of them with low frequency of occurrence. Only 13 compounds, which belong to four different classes (VOCs, organochlorinated pesticides, phthalates and tributyltin compounds (TBT)) showed a frequency o…

Unclassified drugWater conservationEffluentsWastewaterOceanographyPhthalic acidWaste Disposal Fluidchemistry.chemical_compoundPentachlorobenzeneWater Pollution ChemicalWater treatmentOrganic pollutantWater pollutionWater pollutantPriority pollutants (PPs)Environmental quality standards (EQS)TributyltinEstersVolatile organic compoundPriority pollutantPollutionCoastal waterWater Framework DirectiveWater pollutionEnvironmental chemistryCoastal watersSeasonsEnvironmental MonitoringWaste water treatment plantPentachlorobenzeneAquatic ScienceWwtp effluentChlorobenzenesArticleHazardous SubstancesWWTP effluentsPhenolsWater Framework Directive (WFD)Pollution monitoringDiethylhexyl PhthalateMediterranean SeaSpatial distributionSeawaterSea pollutionEffluentTECNOLOGIA DEL MEDIO AMBIENTEPollutantOrganochlorine pesticideOctylphenolVolatile Organic CompoundsPhenolConcentration (process)Environmental engineeringQuality controlEnvironmental quality standardsPhthalic acid 2 ethylhexyl monoesterEffluentchemistrySpainComunidad ValenciaConcentration (parameters)TributyltinEnvironmental scienceOrganic pollutantsWater qualityTrialkyltin CompoundsOrganic pollutionPollution detectionWater Pollutants ChemicalWaste disposal
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Intruder Pattern Identification

2008

This paper considers the problem of intrusion detection in information systems as a classification problem. In particular the case of masquerader is treated. This kind of intrusion is one of the more difficult to discover because it may attack already open user sessions. Moreover, this problem is complex because of the large variability of user models and the lack of available data for the learning purpose. Here, flexible and robust similarity measures, suitable also for non-numeric data, are defined, they will be incorporated on a one-class training K N N and compared with several classification methods proposed in the literature using the Masquerading User Data set (www.schonlau.net) repr…

UnixSimilarity (geometry)Settore INF/01 - Informaticabusiness.industryComputer scienceIntrusion detection systemSimilarity measurecomputer.software_genreMachine learningPattern identificationData setIntrusionOne class calssifier Masquerader detection Intrusion detection systemsInformation systemData miningArtificial intelligencebusinesscomputer
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Implementation and performance of the ATLAS second level jet trigger

2008

ATLAS is one of the four major LHC experiments, designed to cover a wide range of physics topics. In order to cope with a rate of 40 MHz and 25 interactions per bunch crossing, the ATLAS trigger system is divided in three different levels. The first one (LVL1, hardware based) identifies signatures in 2 microseconds that are confirmed by the the following trigger levels (software based). The Second Level Trigger (LVL2) only looks at a region of the space around the LVL1 signature (called Region of Interest or ROI), confirming/rejecting the event in about 10 ms, while the Event Filter (Third Level Trigger, EF) has potential full event access and larger processing times, of the order of 1 s. T…

UnpackingPhysicsHistoryData processingLarge Hadron ColliderMathematical modelAtlas (topology)Reconstruction algorithmParticle identificationComputer Science ApplicationsEducationComputational scienceData acquisitionStatistical physicsDetectors and Experimental TechniquesJournal of Physics: Conference Series
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Bot recognition in a Web store: An approach based on unsupervised learning

2020

Abstract Web traffic on e-business sites is increasingly dominated by artificial agents (Web bots) which pose a threat to the website security, privacy, and performance. To develop efficient bot detection methods and discover reliable e-customer behavioural patterns, the accurate separation of traffic generated by legitimate users and Web bots is necessary. This paper proposes a machine learning solution to the problem of bot and human session classification, with a specific application to e-commerce. The approach studied in this work explores the use of unsupervised learning (k-means and Graded Possibilistic c-Means), followed by supervised labelling of clusters, a generative learning stra…

Unsupervised classificationWeb bot detectionComputer Networks and CommunicationsComputer scienceInternet robot02 engineering and technologyMachine learningcomputer.software_genreWeb trafficWeb serverMachine learning0202 electrical engineering electronic engineering information engineeringArtificial neural networkbusiness.industrySupervised learning020206 networking & telecommunicationsPerceptronWeb application securityWeb botComputer Science ApplicationsSupport vector machineGenerative modelComputingMethodologies_PATTERNRECOGNITIONHardware and ArchitectureSupervised classificationUnsupervised learning020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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The Upgrade of the ATLAS Level-1 Central Trigger Processor

2013

The ATLAS Level-1 Central Trigger Processor (CTP) combines information from calorimeter and muon trigger processors as well as other sources and makes the final Level-1 Accept (L1A) decision. Due to the increasing luminosity of the LHC and the growing demands of physics and monitoring placed on the ATLAS Level-1 trigger system, the current CTP has reached its design limits. Therefore and in order to provide some margin for future operation, the CTP will be upgraded during the LHC shutdown of 2013/14.

UpgradeLarge Hadron Collidermedicine.anatomical_structurebusiness.industryAtlas (anatomy)Computer Science::Systems and ControlPhysics::Instrumentation and DetectorsmedicineDetectors and Experimental TechniquesbusinessInstrumentationMathematical PhysicsComputer hardware
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The SuperK-Gd Project

2018

The SuperK-Gd project is the proposed and approved upgrade of the Super-Kamiokande detector in order to enable it to efficiently detect thermal neutrons. The project consists in dissolving a Gd salt into SK at a concentration of 0.2%.

UpgradeMaterials scienceNuclear engineeringDetectorNeutron temperature
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Fibronectin urothelial gene expression as a new reliable biomarker for early detection of local toxicity secondary to adjuvant intravesical therapy f…

2020

Background: A marker of urothelial damage could be helpful for early detection and monitoring of local toxicity due to intravesical therapy for non-muscle invasive bladder cancer (NMIBC). The aim of the study was to investigate the correlation between fibronectin (FN) gene expression in bladder washings and local toxicity secondary to adjuvant intravesical therapy. Materials and methods: Patients undergoing adjuvant intravesical therapy for NMIBC and age-matched healthy patients were enrolled. Real time polymerase chain reaction was performed to analyze FN expression in bladder washings. Local toxicity was classified as: 0–1 mild (no medical therapy), 2 moderate (medical therapy and/or inst…

Urologymedicine.medical_treatment030232 urology & nephrologyEarly detectionBacillus Calmette–Guerinlcsh:RC870-92303 medical and health sciences0302 clinical medicinefibronectinnon-muscle invasive bladder cancerGene expressionbladder washingMedicineBladder cancerbiologybusiness.industrytoxicitylcsh:Diseases of the genitourinary system. Urologymedicine.diseaseFibronectin030220 oncology & carcinogenesisToxicitybiology.proteinCancer researchBiomarker (medicine)biomarkerOriginal ArticlebusinessNon muscle invasiveAdjuvantTherapeutic advances in urology
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