Search results for "Bust"

showing 10 items of 1000 documents

Secrecy analysis and learning-based optimization of cooperative NOMA SWIPT systems

2019

Non-orthogonal multiple access (NOMA) is considered to be one of the best candidates for future networks due to its ability to serve multiple users using the same resource block. Although early studies have focused on transmission reliability and energy efficiency, recent works are considering cooperation among the nodes. The cooperative NOMA techniques allow the user with a better channel (near user) to act as a relay between the source and the user experiencing poor channel (far user). This paper considers the link security aspect of energy harvesting cooperative NOMA users. In particular, the near user applies the decode-and-forward (DF) protocol for relaying the message of the source no…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer scienceDecode-and-forward (DF)050801 communication & media studies5G-tekniikkalaw.inventionNonorthogonal multiple access (NOMA)NomaComputer Science - Networking and Internet Architecturelangaton tiedonsiirto0508 media and communicationsoptimointiRelaylawRobustness (computer science)0502 economics and businessSecrecymedicineFOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingtietoturvaNetworking and Internet Architecture (cs.NI)business.industryDeep learningPower-splitting05 social sciencesDeep learningmedicine.diseasekoneoppiminen050211 marketingArtificial intelligencebusinessDecoding methodsEfficient energy useComputer networkCommunication channel
researchProduct

Synergistic integration of optical and microwave satellite data for crop yield estimation

2019

Developing accurate models of crop stress, phenology and productivity is of paramount importance, given the increasing need of food. Earth observation (EO) remote sensing data provides a unique source of information to monitor crops in a temporally resolved and spatially explicit way. In this study, we propose the combination of multisensor (optical and microwave) remote sensing data for crop yield estimation and forecasting using two novel approaches. We first propose the lag between Enhanced Vegetation Index (EVI) derived from MODIS and Vegetation Optical Depth (VOD) derived from SMAP as a new joint metric combining the information from the two satellite sensors in a unique feature or des…

Signal Processing (eess.SP)FOS: Computer and information sciencesEarth observationCoefficient of determinationTeledetecció010504 meteorology & atmospheric sciencesEnhanced vegetation index0208 environmental biotechnologyFOS: Physical sciencesSoil Science02 engineering and technologyStatistics - Applications01 natural sciencesArticleModerate resolution imaging spectroradiometer (MODIS)Robustness (computer science)Machine learningLinear regressionFOS: Electrical engineering electronic engineering information engineeringFeature (machine learning)Kernel ridge regressionCrop yield estimationVegetation optical depthApplications (stat.AP)Electrical Engineering and Systems Science - Signal ProcessingComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerCrop yieldProcessos estocàsticsGeologyEnhanced vegetation indexAgro-ecosystems020801 environmental engineeringPhysics - Data Analysis Statistics and ProbabilityMetric (mathematics)Soil moisture active passive (SMAP)Data Analysis Statistics and Probability (physics.data-an)Imatges Processament
researchProduct

Incipient damage identification through characteristics of the analytical signal response

2008

The analytical signal is a complex representation of a time domain signal: the real part is the time domain signal itself, while the imaginary part is its Hilbert transform. It has been observed that damage, even at a very low level, yields clearly detectable variations of analytical signal quantities such as phase and instantaneous frequency. This observation can represent a step toward a quick and effective tool to recognize the presence of incipient damage where other frequency-based techniques fail. In this paper a damage identification procedure based on an adimensional functional of the square of the difference between the characteristics of the analytical theoretical and measured sig…

Signal processingComplex representationSignal processingEstimation theoryAnalytical SignalBuilding and ConstructionInstantaneous phasesymbols.namesakeMechanics of MaterialsRobustness (computer science)symbolsTime domainHilbert transformSignal transfer functionSettore ICAR/08 - Scienza Delle CostruzioniStructural damage identificationAlgorithmCivil and Structural EngineeringMathematicsStructural Control and Health Monitoring
researchProduct

Compact-like pulse signals in a new nonlinear electrical transmission line

2013

International audience; A nonlinear electrical transmission line with an intersite circuit element acting as a nonlinear resistance is introduced and investigated. In the continuum limit, the dynamics of localized signals is described by a nonlinear evolution equation belonging to the family of nonlinear diffusive Burgers' equations. This equation admits compact pulse solutions and shares some symmetry properties with the Rosenau-Hyman K(2,2) equation. An exact discrete compactly- supported signal voltage is found for the network and the dissipative effects on the pulse motion analytically studied. Numerical simulations confirm the validity of analytical results and the robustness of these …

Signal processingMathematical analysisCondensed Matter Physics01 natural sciences010305 fluids & plasmasElectronic Optical and Magnetic MaterialsNonlinear systemElectric power transmission[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Robustness (computer science)0103 physical sciences[NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Dissipative system[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Electrical and Electronic Engineering010306 general physicsNonlinear evolutionVoltageMathematics
researchProduct

Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection

2021

A large number of applications in decentralized signal processing includes projecting a vector of noisy observations onto a subspace dictated by prior information about the field being monitored. Accomplishing such a task in a centralized fashion in networks is prone to a number of issues such as large power consumption, congestion at certain nodes and suffers from robustness issues against possible node failures. Decentralized subspace projection is an alternative method to address those issues. Recently, it has been shown that graph filters (GFs) can be implemented to perform decentralized subspace projection. However, most of the existing methods have focused on designing GFs for symmetr…

Signal processingOptimization problemComputer science020206 networking & telecommunications02 engineering and technologyShift operatorTopologyNetwork topologyGraphProjection (linear algebra)Operator (computer programming)Robustness (computer science)Signal Processing0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringWireless sensor networkSubspace topologyIEEE Transactions on Signal Processing
researchProduct

Spectral estimators for Doppler analysis of intracoronary ultrasound catheters

2002

With the zero-cross-detection method (ZCD) it has been shown that it is not possible to achieve a reproducible quantitative, and robust evaluation of an inter-coronary audio signal. The authors define spectral estimators to analyze the Doppler-audio signal. Measurements in a blood flow model have shown that the ZCD method underestimates the expected velocity at all speeds. Spectral analysis allows the determination of the actual and peak velocity more robustly and precisely. >

Signal processingsymbols.namesakeAudio signalPeak velocityComputer scienceRobustness (computer science)AcousticssymbolsEstimatorSpectral analysisBlood flowDoppler effect[1991] Proceedings Computers in Cardiology
researchProduct

Deep learning algorithms for gravitational waves core-collapse supernova detection

2021

The detection of gravitational waves from core-collapse supernova (CCSN) explosions is a challenging task, yet to be achieved, in which it is key the connection between multiple messengers, including neutrinos and electromagnetic signals. In this work, we present a method for detecting these kind of signals based on machine learning techniques. We tested its robustness by injecting signals in the real noise data taken by the Advanced LIGO-Virgo network during the second observation run, O2. We trained three newly developed convolutional neural networks using time-frequency images corresponding to injections of simulated phenomenological signals, which mimic the waveforms obtained in 3D nume…

Signal-to-noise ratioNoise (signal processing)Computer sciencebusiness.industryGravitational waveRobustness (computer science)Deep learningArtificial intelligencebusinessConvolutional neural networkAlgorithmTime–frequency analysisConstant false alarm rate2021 International Conference on Content-Based Multimedia Indexing (CBMI)
researchProduct

Accordo di Programma MSE-CNR - Gruppo tematico: Celle a Combustibile (wp1) Responsabile scientifico del Progetto Vincenzo Antonucci - Accordo di Coll…

2010

Simulazione sistemi SOFCSettore ING-IND/11 - Fisica Tecnica AmbientaleCelle a combustibileAccumulo del freddoSettore ING-IND/10 - Fisica Tecnica IndustrialeSistemi di trigenerazione con SOFCGenerazione elettrica distribuitaImpianti frigoriferi innovativi
researchProduct

Scoliosi e Sindrome di Rett

2010

Sindrome di Rett scoliosi busti ortopedici trattamento chirurgico della scoliosiSettore MED/33 - Malattie Apparato Locomotore
researchProduct

StalAge – An algorithm designed for construction of speleothem age models

2011

Abstract Here we present a new algorithm ( StalAge ), which is designed to construct speleothem age models. The algorithm uses U-series ages and their corresponding age uncertainty for modelling and also includes stratigraphic information in order to further constrain and improve the age model. StalAge is applicable to problematic datasets that include outliers, age inversions, hiatuses and large changes in growth rate. Manual selection of potentially inaccurate ages prior to application is not required. StalAge can be applied by the general, non-expert user and has no adjustable free parameters. This offers the highest degree of reproducibility and comparability of speleothem records from …

Smoothing splineSpline (mathematics)Robustness (computer science)StratigraphyOutlierBayesian probabilityEarth and Planetary Sciences (miscellaneous)Range (statistics)GeologySample (statistics)AlgorithmGeologyFree parameterQuaternary Geochronology
researchProduct