Search results for " Detection"

showing 10 items of 1676 documents

Solid-state-biased coherent detection of ultra-broadband terahertz pulses

2017

Significant progress in nonlinear and ultrafast optics has recently opened new and exciting opportunities for terahertz (THz) science and technology, which require the development of reliable THz sources, detectors, and supporting devices. In this work, we demonstrate the first solid-state technique for the coherent detection of ultra-broadband THz pulses (0.1-10 THz), relying on the electric-field-induced second-harmonic generation in a thin layer of ultraviolet fused silica. The proposed CMOS-compatible devices, which can be realized with standard microfabrication techniques, allow us to perform ultra-broadband detection with a high dynamic range by employing probe laser powers and bias v…

coherent detectionTA1501Nonlinear opticTerahertzFar infrared or terahertzFour-wave mixingUltrafast opticDevicePhysics::OpticsUltrafast laserSolid state detectorSettore ING-INF/01 - ElettronicaQC0350Optica
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First Chemosensor for Selective Detection and Quantification of L-4-Hydroxyproline in Collagen and Other Bio Samples.

2017

Amino pyridine-based rhodamine conjugate (APR) has been developed as a first chemosensor for selective detection and quantification of L-4-Hydroxyproline (Hyp). The “turn-on” fluorescence property of the chemosensor makes it unique for easy estimation of Hyp in collagen and biological samples. peerReviewed

collagenPyridines010402 general chemistry01 natural sciencesAnalytical ChemistryRhodaminesRhodamine03 medical and health scienceschemistry.chemical_compoundHydroxyprolineamino pyridine-based rhodamine conjugate0302 clinical medicinebio samplesPyridinehydroxyprolineta116Density Functional TheoryFluorescent DyesChromatographyRhodaminesFluorescence0104 chemical sciencesselective detectionHydroxyprolinechemistry030220 oncology & carcinogenesischemosensorsCollagenConjugateAnalytical chemistry
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One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals

2021

Deep learning for the automated detection of epileptic seizures has received much attention during recent years. In this work, one dimensional convolutional neural network (1D-CNN) and two dimensional convolutional neural network (2D-CNN) are simultaneously used on electroencephalogram (EEG) data for seizure detection. Firstly, using sliding windows without overlap on raw EEG to obtain the definite one-dimension time EEG segments (1D-T), and continuous wavelet transform (CWT) for 1D-T signals to obtain the two-dimension time-frequency representations (2D-TF). Then, 1D-CNN and 2D-CNN model architectures are used on 1D-T and 2D-TF signals for automatic classification, respectively. Finally, t…

convolutional neural networks (CNN)Computer scienceseizure detection02 engineering and technologyneuroverkotElectroencephalographyConvolutional neural network0202 electrical engineering electronic engineering information engineeringmedicineEEGContinuous wavelet transformSignal processingArtificial neural networkmedicine.diagnostic_testbusiness.industryelectroencephalogram (EEG)signaalinkäsittelyDeep learningtime-frequency representationtideep learningsignaalianalyysi020206 networking & telecommunicationsPattern recognitionkoneoppiminenBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinessepilepsia
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Cell degradation detection based on an inter-cell approach

2017

Fault management is a crucial part of cellular network management systems. The status of the base stations is usually monitored by well-defined key performance indicators (KPIs). The approaches for cell degradation detection are based on either intra-cell or inter-cell analysis of the KPIs. In intra-cell analysis, KPI profiles are built based on their local history data whereas in inter-cell analysis, KPIs of one cell are compared with the corresponding KPIs of the other cells. In this work, we argue in favor of the inter-cell approach and apply a degradation detection method that is able to detect a sleeping cell that could be difficult to observe using traditional intra-cell methods. We d…

correlation based cell degradation detectionreal LTE networknetwork management automationself-healinglong term evolution (LTE)network managementself-organizing networks (SON)fault managementinter-cell analysissiirrokset
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Status of Advanced Virgo

2017

The LIGO and the Virgo collaborations have recently announced the first detections of Gravitational Waves. Due to their weak amplitude, Gravitational Waves are expected to produce a very small effect on free-falling masses, which undergo a displacement of the order of 10-18 m for a Km-scale mutual distance. This discovery showed that interferometric detectors are suitable to reveal such a feeble effect, and therefore represent a new tool for astronomy, astrophysics and cosmology in the understanding of the Universe. To better reconstruct the position of the Gravitational Wave source and increase the signal-to-noise ratio of the events by means of multiple coincidence, a network of detectors…

cosmological modeldetector: performanceVirgo LIGO gravitational waveAstronomyinterferometerQC1-999detector: networkgravitational radiation: direct detection01 natural sciencesCoincidenceCosmologyPhysics and Astronomy (all)0103 physical sciences[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]LIGO010306 general physicsSettore FIS/01Physics010308 nuclear & particles physicsGravitational wavePhysicsDetectorgravitational radiationAstrophysics::Instrumentation and Methods for AstrophysicsAstronomygravitational radiation detectorLIGOdetector: sensitivityInterferometryVIRGOAmplitudePhysics and Astronomygravitational radiation: emission[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Time-domain effective-one-body gravitational waveforms for coalescing compact binaries with nonprecessing spins, tides and self-spin effects

2018

We present TEOBResumS, a new effective-one-body (EOB) waveform model for nonprecessing (spin-aligned) and tidally interacting compact binaries.Spin-orbit and spin-spin effects are blended together by making use of the concept of centrifugal EOB radius. The point-mass sector through merger and ringdown is informed by numerical relativity (NR) simulations of binary black holes (BBH) computed with the SpEC and BAM codes. An improved, NR-based phenomenological description of the postmerger waveform is developed.The tidal sector of TEOBResumS describes the dynamics of neutron star binaries up to merger and incorporates a resummed attractive potential motivated by recent advances in the post-Newt…

data analysis methodneutron star: binaryGravitational waves effective-one-bodyAstronomyBinary numberFOS: Physical sciencesalternative theories of gravityGeneral Relativity and Quantum Cosmology (gr-qc)Parameter spacegravitational radiation: direct detection01 natural sciencesGeneral Relativity and Quantum CosmologyNumerical studies of other relativistic binaries; Neutron stars; black holes (astrophysics); Gravitational wavesNeutron starsGravitational wavesGravitationBinary black holebinary: coalescence0103 physical sciencesnumerical methodsblack holes (astrophysics)010306 general physicsGeneral Relativity and Quantum Cosmology; General Relativity and Quantum Cosmologyequation of statePhysics010308 nuclear & particles physicsNumerical studies of other relativistic binarieshigher-order: 0spin: effectGravitational Waves analytical template modeling LIGO Virgo numerical relativity Neutron Stars parameter estimationRadiusbinary: compactLIGOgravitational radiation detectorComputational physicsFIS/02 - FISICA TEORICA MODELLI E METODI MATEMATICIdetector: sensitivityNeutron starNumerical relativityblack hole: binaryGeneral relativityrelativity theorygravitation: self-force[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]effective-one-body
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Robust fault detection for switched systems with time-varying delay using delta operator approach

2014

delta operatorControl and Systems EngineeringControl theoryfault detection observersswitched systemstime-varying delaysControl engineeringDelta operatordelta operator; fault detection observers; switched Lyapunov function; switched systems; time-varying delays; Control and Systems Engineeringswitched Lyapunov functionFault detection and isolationMathematics2014 UKACC International Conference on Control (CONTROL)
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Détection robuste de mouvement par histogrammes quasi‐continus

2012

National audience; Dans cet article, nous proposons d'utiliser la représentation de distributions de valeurs par histogrammes quasi-continus pour réaliser une détection temps réel de mouvement dans une séquence d'images. Nous comparons les résultats de cette détection à deux méthodes de référence de la littérature.

densityvision[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]motion detection[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Quasi-continuous histogram[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]image processing
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Temporal Denoising of Kinect Depth Data

2012

The release of the Microsoft Kinect has attracted the attention of researchers in a variety of computer science domains. Even though this device is still relatively new, its recent applications have shown some promising results in terms of replacing current conventional methods like the stereo-camera for robotics navigation, multi-camera system for motion detection and laser scanner for 3D reconstruction. While most work around the Kinect is on how to take full advantage of its capabilities, so far only a few studies have been carried out on the limitations of this device and fewer that provide solutions to enhance the precision of its measurements. In this paper, we review and analyse curr…

depth measurement[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingLaser scanning[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceNoise reductionDenoising algorithmComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingtemporal denoising0202 electrical engineering electronic engineering information engineeringComputer visionImage denoisingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry3D reconstruction020206 networking & telecommunicationsRoboticsMotion detectionKinect depth dataMicrosoft Kinect020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing2012 Eighth International Conference on Signal Image Technology and Internet Based Systems
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First real–time detection of solar pp neutrinos by Borexino

2014

International audience; Solar neutrinos have been pivotal to the discovery of neutrino flavour oscillations and are a unique tool to probe the reactions that keep the Sun shine. Although most of solar neutrino components have been directly measured, the neutrinos emitted by the keystone pp reaction, in which two protons fuse to make a deuteron, have so far eluded direct detection. The Borexino experiment, an ultra-pure liquid scintillator detector running at the Laboratori Nazionali del Gran Sasso in Italy, has now filled the gap, providing the first direct real time measurement of pp neutrinos and of the solar neutrino luminosity.

deuteronParticle physicsneutrino: solarPhysics::Instrumentation and DetectorsQC1-999Solar neutrinoAstrophysics::High Energy Astrophysical Phenomenascintillation counter: liquidgap7. Clean energy01 natural sciencesNuclear physicsPhysics and Astronomy (all)0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]ddc:530flavor: oscillation010306 general physicsNuclear ExperimentBorexinoPhysicsICARUSp p: fusion010308 nuclear & particles physicsPhysicsHigh Energy Physics::Phenomenologytalk: Noto 2014/09/30Solar neutrino problemGran SassoNeutrino detectorneutrino: flavorMeasurements of neutrino speedCOUNTING TEST FACILITYHigh Energy Physics::Experimentdirect detectionBorexinoneutrino: oscillationNeutrino astronomyNeutrinoexperimental resultsneutrino: luminosity
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