Search results for "Frequency analysis"

showing 10 items of 113 documents

Secondary implant stability outcome of immediate versus late placed variable-thread implants in the maxilla. A retrospective cohort study

2017

BACKGROUND The healing of xenograft augmentated intra-alveolar gaps following immediate implant placement (IMIP) after tooth extraction is likely to differ in time and density compared to the native bone part that directly contacts the implant. MATERIAL AND METHODS Secondary implant stability (SIS) data recorded 2-3 months following a late implant placement protocol (LIP) (n= 43) and 6-8 months following an immediate implant placement protocol (IMIP) (n=33) of variable-thread implants (Nobel Active™) in the maxilla were retrospectively collected from files of 63 patients (42 females, 21 males). Statistical analysis was performed using a generalized estimating equation model (GEE). Data spli…

Resonance frequency analysisDentistryHard tissue03 medical and health sciences0302 clinical medicineAnkylosMedicineStatistical analysisPeriodontology030212 general & internal medicineGeneral DentistryCellPlusbusiness.industryDentistry(all)ResearchRetrospective cohort study030206 dentistrySecondary implant stabilityImmediate implant:CIENCIAS MÉDICAS [UNESCO]periotestStraumannImplant placementResonance frequency analysisMaxillaUNESCO::CIENCIAS MÉDICASImplantSLAbusinessOsstell Mentor
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Using plot soil loss distribution for soil conservation design

2011

Abstract Soil conservation design is generally based on the estimation of average annual soil loss but it should be developed taking into account storms of a given return period. However, use of frequency analysis in soil erosion studies is relatively limited. In this paper, an investigation on statistical distribution of soil loss measurements was firstly carried out using a relatively high number of simultaneously operating plots of different lengths, λ (11, 22, 33 and 44 m) at the experimental station of Sparacia (southern Italy). Using a simple normalization technique, the analysis showed that the probability distribution of the normalized soil loss is independent of both the scale leng…

Return periodHydrologyNormalization (statistics)Frequency analysisSoil erosion USLE probability distributions soil conservation practices designSoil scienceStormlaw.inventionSoil losslawEnvironmental scienceProbability distributionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSoil conservationEarth-Surface Processes
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Measurement of dental implant stability by resonance frequency analysis : a review of the literature

2008

Dental implant treatment is an excellent option for prosthetic restoration that is associated with high success rates. Implant stability is essential for a good outcome. The clinical assessment of osseointegration is based on mechanical stability rather than histological criteria, considering primary stability (absence of mobility in bone bed after implant insertion) and secondary stability (bone formation and remodelling at implant-bone interface). The aim of this study was to review the literature on Resonance Frequency Analysis (RFA) as a method for measuring dental implant stability. An online search of various databases was conducted on experimental and clinical research published betw…

Secondary StabilityDental Implantsbusiness.industrymedicine.medical_treatmentDentistry:CIENCIAS MÉDICAS [UNESCO]OsseointegrationResonance frequency analysisOtorhinolaryngologyMechanical stabilityOsseointegrationUNESCO::CIENCIAS MÉDICASmedicineHumansSurgeryBone formationImplantGood outcomebusinessDental implantGeneral Dentistry
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Interaction between seismicity and deformation on different time scales in volcanic areas: Campi Flegrei and Stromboli

2019

We study oscillations recorded at Stromboli and Campi Flegrei by different sensors: seismometers, strainmeters and tiltmeters. We examine both the high-frequency (>0.5 Hz) portion of the spectrum and very long period signals up to tidal scales. In this context, seismicity and deformation are investigated on different time scales (from minutes to days/years) in order to identify the basic elements of their interaction, whose understanding should provide new insights on the predictive models. In this work, the strict relation of tides and volcanic processes is shown. At Stromboli, indeed the transition from the stationary phase to the non-stationary phase seems to have a tidal precu…

Seismometer010504 meteorology & atmospheric scienceslcsh:Dynamic and structural geologyanalysisfrequency analysisTiltmeterContext (language use)VolcanismInduced seismicity010502 geochemistry & geophysicsdiurnal variation01 natural sciencesvolcanic eruptionvolcanologylcsh:QE500-639.5lcsh:Science0105 earth and related environmental sciencesgeographyvolcanismgeography.geographical_feature_categoryVulcanian eruptionlcsh:QE1-996.5deformationGeneral MedicineVolcanologydeformation; diurnal variation; frequency analysis; numerical model; seismicity; time series; analysis; volcanic eruption; volcanism;volcanologylcsh:GeologyVolcanolcsh:Qseismicitytime seriesnumerical modelGeologySeismology
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Streams as Seams: Carving trajectories out of the time-frequency matrix

2020

A time-frequency representation of sound is commonly obtained through the Short-Time Fourier Transform. Identifying and extracting the prominent frequency components of the spectrogram is important for sinusoidal modeling and sound processing. Borrowing a known image processing technique, known as seam carving, we propose an algorithm to track and extract the sinusoidal components from the sound spectrogram. Experiments show how this technique is well suited for sound whose prominent frequency components vary both in amplitude and in frequency. Moreover, seam carving naturally produces some auditory continuity effects. We compare this algorithm with two other sine extraction techniques, bas…

Settore INF/01 - InformaticaTime-frequency analysis. Sinusoidal components. Seam carving.Settore ING-INF/03 - TelecomunicazioniComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
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Multi-body numerical simulation of the distribution drive system in an internal combustion engine

2008

V clanku je predstaven vyvoj metodiky pro vypocet dynamiky mechanismu motoroveho rozvodu. Vyuzity jsou techniky simulaci vicehmotovych soustav; pouzit byl software AVL/Tycon. Objektem vyzkumu byl vliv pracovnfho rezimu motoru na dynamiku retezoveho rozvodu s jednim (SOHC) a dvema (DOHC) vackovymi hndeli v hiave motoru. Analyza obsahuje dukaz, ze retezovy prevod zavadi (di'ky kinematickemu zaberu) vysokou frekvenci s velmi malou amplitudou v porovnani s harmonickymi frekvencemi od externi sil. Metodika umozhuje urdt zati'zeni vstupni'ho a pomocnych hridelu, zatizeni na strukturu motoru indukovane pres operne a napmaci kladky. Diky tomu se predstavena metodika stava vyznamnym nastrojem pro pr…

Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineSOHC DOHC/ CHAIN DRIVE/ FREQUENCY ANALYSIS/ LOAD ANALYSIS FRICTION LOSESSOHC DOHC RETEZOVY ROZVOD FREKVENCNI ANAIYZA ZATEZOVA ANAIYZA TRECI ZTRATY
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CFD PREDICTION OF BUBBLES BEHAVIOUR IN 2-DIMENSIONAL GAS-SOLID FLUIDIZED BEDS

2008

In recent years the use of Computational Fluid Dynamics (CFD) is significantly increasing to simulate multi-phase flows. It is invariably emphasized that a necessary step towards the development of reliable fully predictive CFD models is an extensive experimental validation of the simulation results. This work in particular focuses on the CFD simulation of a lab-scale 2D fluidized bed and the relevant experiments, in order to validate the prediction capability of the used codes and models. It must be emphasized that both experimental and computational quantitative data have been obtained by means of an original Digital Image Analysis Technique, that allows coherent comparison of computation…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciFluidization Frequency analysis CFD.Settore ING-IND/25 - Impianti Chimici
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A combined CWT-DWT method using model-based design simulator for partial discharges online detection

2009

The suppression of noises is fundamental in onsite Partial Discharge (PD) measurements. For this purpose, the wavelet transform analysis method has been developed and it is a powerful tool for processing the transient and suddenly changing signals. As the wavelet transform possesses the properties of multi-scale analysis and time-frequency domain localization, it is also particularly suitable to process the suddenly changing signals of the partial discharge pulse (PD). In this paper, an improved Wavelet denoising method developed by a model-based design software is presented. Simulations are provided as well as some results obtained during laboratory experiment and on-line PD measurements. …

Settore ING-IND/31 - ElettrotecnicaWaveletComputer scienceNoise reductionPartial dischargeModel-based designdiscrete wavelet transforms partial discharge measurements time-frequency analysis transientsElectronic engineeringSoftware designWavelet transformContinuous wavelet transformTime–frequency analysis2009 IEEE Conference on Electrical Insulation and Dielectric Phenomena
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Efficient Analysis and Synthesis Using a New Factorization of the Gabor Frame Matrix

2018

In this paper, we consider the case in which one needs to carry out Gabor analysis and synthesis on large signals using a short support analysis window and its corresponding, possibly longer canonical dual window, respectively. In this asymmetric context, we propose a novel factorization of the Gabor frame operator that exploits its strong and well-known structure and leads to a computational cost for synthesis, which is comparable to the one needed for short support analysis. The proposed factorization applies to any Gabor system with very mild conditions and leads to a potentially promising alternative to current synthesis algorithms in the case of short analysis windows whose support is …

Signal processingCurrent (mathematics)Computer science020206 networking & telecommunicationsContext (language use)010103 numerical & computational mathematics02 engineering and technology01 natural sciencesTime–frequency analysisMatrix decompositionMatrix (mathematics)Operator (computer programming)FactorizationSignal Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringAlgorithmIEEE Transactions on Signal Processing
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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)
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