Search results for " Detection"

showing 10 items of 1676 documents

Learning Temporal Regularities of User Behavior for Anomaly Detection

2001

Fast expansion of inexpensive computers and computer networks has dramatically increased number of computer security incidents during last years. While quite many computer systems are still vulnerable to numerous attacks, intrusion detection has become vitally important as a response to constantly increasing number of threats. In this paper we discuss an approach to discover temporal and sequential regularities in user behavior. We present an algorithm that allows creating and maintaining user profiles relying not only on sequential information but taking into account temporal features, such as events' lengths and possible temporal relations between them. The constructed profiles represent …

Network securitybusiness.industryComputer scienceAnomaly detectionArtificial intelligenceIntrusion detection systemData miningAnomaly (physics)businesscomputer.software_genrecomputer
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Highly selective detection of Epinephrine at oxidized Single-Wall Carbon Nanohorns modified Screen Printed Electrodes (SPEs)

2014

Oxidized Single-Wall Carbon Nanohorns (o-SWCNHs) were used, for the first time, to assemble chemically modified Screen Printed Electrodes (SPEs) selective towards the electrochemical detection of Epinephrine (Ep), in the presence of Serotonine-5-HT (S-5HT), Dopamine (DA), Nor-Epineprhine (Nor-Ep), Ascorbic Acid (AA), Acetaminophen (Ac) and Uric Acid (UA). The Ep neurotransmitter was detected by using Differential Pulse Voltammetry (DPV), in a wide linear range of concentration (2-2500 μM) with high sensitivity (55.77 A M(-1) cm(-2)), very good reproducibility (RSD% ranging from 2 to 10 for different SPEs), short response time for each measurement (only 2s) and low detection of limit (LOD=0.…

Neurotransmitters; Screen Printed Electrodes (SPEs); Selective detection; SWCNHs; Biosensing Techniques; Electrochemical Techniques; Electrodes; Epinephrine; Limit of Detection; Nanostructures; Oxidation-Reduction; Reproducibility of Results; Biophysics; Biomedical Engineering; Biotechnology; Electrochemistry; Medicine (all)NanostructureEpinephrineScreen Printed Electrodes (SPEs)ElectrodeBiophysicsAnalytical chemistryBiomedical EngineeringReproducibility of ResultBiosensing TechniquesElectrochemistryNanomaterialsSWCNHs; Screen Printed Electrodes (SPEs); Neurotransmitters; Selective detectionBiosensing TechniqueSelective detectionLimit of DetectionElectrochemistrySWCNHSettore CHIM/01 - Chimica AnaliticaNeurotransmitterElectrodesDetection limitSWCNHsReproducibilityElectrochemical TechniqueChemistryMedicine (all)Reproducibility of ResultsGeneral MedicineElectrochemical TechniquesNeurotransmittersAscorbic acidNanostructuresLinear rangeBiophysicElectrodeDifferential pulse voltammetryOxidation-ReductionNuclear chemistryBiotechnology
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Neutrino interaction classification with a convolutional neural network in the DUNE far detector

2020

The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure CP-violation in the neutrino sector as part of a wider physics program. A deep learning approach based on a convolutional neural network has been developed to provide highly efficient and pure selections of electron neutrino and muon neutrino charged-current interactions. The electron neutrino (antineutrino) selection efficiency peaks at 90% (94%) and exceeds 85% (90%) for reconstructed neutrino energies between 2–5 GeV. The muon neutrino (antineutrino) event selection is found to have a maximum efficiency of 96% (97%) and exceeds 90% (95%) efficiency for reconstructed neutrino…

Neutrino Oscillations. Neutrino detectors.Physics - Instrumentation and DetectorsPhysics::Instrumentation and Detectorsfar detector01 natural sciencesPhysics Particles & FieldsHigh Energy Physics - Experimentcharged currentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Particle Physics ExperimentsMuon neutrinoneutrino/e: particle identificationNeutrino detectorsDetectors and Experimental Techniquesphysics.ins-detCharged currentneutrino: interactionInformáticaPhysicsTelecomunicacionesNeutrino oscillationsPhysicsNeutrino interactions neural network DUNE Deep Underground Neutrino ExperimentInstrumentation and Detectors (physics.ins-det)Experiment (hep-ex)Neutrino detectorPhysical SciencesCP violationNeutrinoParticle Physics - ExperimentParticle physicsdata analysis method530 Physicsneural networkAstrophysics::High Energy Astrophysical PhenomenaCONSERVATIONFOS: Physical sciencesAstronomy & AstrophysicsDeep Learningneutrino: deep underground detectorneutrino physics0103 physical sciencesNeutrino Oscillations. Neutrino detectorsObject DetectionNeutrinoCP: violationDeep Underground Neutrino ExperimentHigh Energy Physics[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Neutrinos010306 general physicsNeutrino oscillationneutrino/mu: particle identificationIOUScience & TechnologyDUNENeutrino interactions010308 nuclear & particles physicshep-exHigh Energy Physics::PhenomenologyFísicaNeutrino InteractionDetector530 PhysiksensitivityefficiencyHigh Energy Physics::ExperimentElectron neutrino
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NEMESIS Setup for Indirect Detection of WIMPs

2022

We summarize the evidence for DM-like anomalies in neutron multiplicity spectra collected underground with Pb targets by three independent experiments: NEMESIS (at 210 m.w.e.) NMDS (at 583 m.w.e.), and ZEPLIN-II (at 2850 m.w.e.). A new analysis shows small but persistent anomalies at high neutron multiplicities. Adjusted for differences in detection efficiencies, the positions of the anomalies are consistent between the three systems. Also, the intensities match when corrected for the acquisition time and estimated detection efficiency. While the three measurements are inconclusive when analyzed separately, together, they exclude a statistical fluke to better than one in a million. To prove…

Neutron detectorsNuclear and High Energy PhysicsWIMPWimpneutron detectorsneutronithiukkasfysiikka114 Physical sciencesdark matterpimeä aineIndirect detectionDark matterindirect detectionInstrumentation
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Highly sensitive monoclonal antibody-based immunoassays for boscalid analysis in strawberries

2018

Boscalid is an agrochemical recently developed for crop protection and the most significant member of the succinate dehydrogenase inhibitor group of fungicides. In this study, a collection of high-affinity monoclonal antibodies was generated to boscalid. By using a series of haptens with a linker at alternative tethering sites of the boscalid framework, specific antibodies were isolated as well as antibodies that also recognized the main boscalid metabolite. Two immunoassays were developed using different ELISA formats. Optimized assays displayed very high sensitivities (limits of detection were near 0.01 µg/L). Trueness and precision for the determination of the target analyte in strawberr…

NiacinamideAnalyteStrawberriesmedicine.drug_classFungicideMetaboliteEnzyme-Linked Immunosorbent AssayQuechersMonoclonal antibodyFragaria01 natural sciencesAnalytical Chemistrychemistry.chemical_compoundLimit of DetectionmedicineDetection limitResidue (complex analysis)Chromatographymedicine.diagnostic_test010405 organic chemistryChemistryBiphenyl Compounds010401 analytical chemistryAntibodies MonoclonalGeneral MedicineCompetitive ELISAFungicides Industrial0104 chemical sciencesMetabolite M510F01FruitImmunoassayMonoclonal antibodiesBoscalidHaptensHaptenFood ScienceFood Chemistry
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Chapter 8 Nicotinic receptors of the vertebrate CNS: introductory remarks

1996

Publisher Summary This chapter focuses on the nicotinic receptors of the vertebrate central nervous system (CNS). In vertebrates, nicotinic cholinergic neurotransmission is found in both the CNS and the periphery (muscle endplate). Although muscle and neuronal nicotinic acetylcholine receptors (nAChR) have evolved from a common ancestor, it is striking that the muscle receptor has remained rather stable in evolution, whereas the neuronal receptor has evolved to a wide diversity of subtypes. As an attractive hypothesis, neurotransmitters and neurohormones may not only interact with their archetypic cognate receptors but also with other neuroreceptor, albeit in a modulatory fashion. By modula…

Nicotinic agonistmedicine.anatomical_structureCentral nervous systemAllosteric regulationmedicinePremovement neuronal activityBiologyReceptorNeurohormonesNeuroscienceCoincidence detection in neurobiologyAcetylcholine receptor
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Combining poly(dimethyldiphenylsiloxane) and nitrile phases for improving the separation and quantitation of benzalkonium chloride homologues: In-tub…

2013

The retention and separation of four homologues of benzalkonium chloride (alkyl (C12, C14, C16, C18) dimethylbenzylammonium chloride) have been studied in poly(dimethyldiphenylsiloxane) (TRB) and nitrile capillary phases, respectively. Under the optimized conditions (50% acetonitrile in processed samples, 35% of diphenyl content of the TRB, capillary length 43 cm and water:methanol 60:40 as replacing solvent), the extraction efficiency was similar for all the homologues with satisfactory reproducibility and independently of the amount and proportion of homologues. Industrial samples with high viscosity or with complex composition and washes waters have been analyzed without previous treatme…

NitrileSolid-phase microextractionMass spectrometryBiochemistryChlorideMass SpectrometryAnalytical ChemistryBenzalkonium chloridechemistry.chemical_compoundLimit of DetectionNitrilesmedicineDimethylpolysiloxanesAcetonitrileSolid Phase MicroextractionChromatographyChemistryOrganic ChemistryExtraction (chemistry)Reproducibility of ResultsGeneral MedicineSolventLinear Modelslipids (amino acids peptides and proteins)Benzalkonium Compoundsmedicine.drugChromatography LiquidJournal of chromatography. A
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Footprint of carbonyl compounds in hand scent by in-tube solid-phase microextraction coupled to nano-liquid chromatography/diode array detection

2019

Abstract In the present work, the footprint of carbonyl compounds in hand scent was achieved by a miniaturized method consisting of sampling with cotton gauze, extraction and derivatization using 2,4-dinitrophenylhydrazine (DNPH) and preconcentration, separation and detection by in-tube solid-phase microextraction (IT-SPME) coupled to nano-liquid chromatography/Uv–vis diode array detection. The coupling IT-SPME-nanoLC-DAD was solved by using a two-valve system: the first valve for loading the sample and the second one to perform IT-SPME. To this aim, a nanoparticle-based capillary column was employed. Firstly, the transfer time from the load loop to the NP-based capillary column in the IT-S…

NonanalCosmetics010402 general chemistrySolid-phase microextraction01 natural sciencesBiochemistryChemistry Techniques AnalyticalAnalytical Chemistrychemistry.chemical_compoundLimit of DetectionHumansOrganic ChemicalsAcetonitrileDerivatizationSolid Phase MicroextractionDetection limitAldehydesChromatographyChemistry010401 analytical chemistryOrganic ChemistryExtraction (chemistry)HydrazonesWaterGeneral MedicineDodecanalDecanal0104 chemical sciencesDodecanolOdorantsChromatography LiquidJournal of Chromatography A
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Overview of Other Results and Open Problems

2014

This chapter presents an overview of results related to error control methods, which were not considered in previous chapters. In the first part, we discuss possible extensions of the theory exposed in Chaps. 3 and 4 to nonconforming approximations and certain classes of nonlinear problems. Also, we shortly discuss some results related to explicit evaluation of modeling errors. The remaining part of the chapter is devoted to a posteriori estimates of errors in iteration methods. Certainly, the overview is not complete. A posteriori error estimation methods are far from having been fully explored and this subject contains many unsolved problems and open questions, some of which we formulate …

Nonlinear systemComputer scienceIterative methodSection (archaeology)Variational inequalityCalculusA priori and a posterioriSubject (documents)Estimation methodsError detection and correction
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Data Compression with ENO Schemes: A Case Study

2001

Abstract We study the compresion properties of ENO-type nonlinear multiresolution transformations on digital images. Specific error control algorithms are used to ensure a prescribed accuracy. The numerical results reveal that these methods strongly outperform the more classical wavelet decompositions in the case of piecewise smooth geometric images.

Nonlinear systemDigital imageWaveletTheoretical computer scienceApplied MathematicsMathematicsofComputing_NUMERICALANALYSISComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPiecewiseError detection and correctionAlgorithmComputingMethodologies_COMPUTERGRAPHICSMathematicsData compressionApplied and Computational Harmonic Analysis
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