Recursos de colección

ORBi Open Repository and Bibliography (278.700 recursos)

In may 2007, the ULg's Administrative Board (joined in June 2007 by the FUSAGx) decided to create an institutional repository and defined a strong institutional self-archiving policy to increase the visibility, accessibility and impact of the University's publications (Board's decision). This decision led to the official launch, in November 2008, of the ORBi platform including both the Academic Bibliography and the Institutional Repository of the Wallonia-Europe University Academy.

Engineering, computing & technology => Multidisciplinary, general & others

Mostrando recursos 1 - 20 de 1.912

  1. Computer aided diagnosis system based on random forests for the prognosis of Alzheimer's disease

    Wehenkel, Marie; Bastin, Christine; Phillips, Christophe; Geurts, Pierre
    Peer reviewed

  2. A Model of Endogenous Insulin Secretion During Exercise

    Thomas, Felicity Louise

  3. Extracting oscillating components from nonstationary time series: A wavelet-induced method

    Deliège, Adrien
    This paper consists in the description and application of a new method named Wavelet-Induced Mode Extraction (WIME) in the context of time-frequency analysis. WIME aims to extract the oscillating components that build amplitude modulated-frequency modulated signals. The essence of this technique relies on the successive extractions of the dominant ridges of wavelet-based timefrequency representations of the signal under consideration. Our tests on simulated examples indicate strong decomposition and reconstruction skills, trouble-free handling of crossing trajectories in the time-frequency plane, sharp performances in frequency detection in the case of mode-mixing problems and a natural tolerance to noise. These results are compared with those obtained with the Empirical Mode Decomposition....

  4. How to extract the oscillating components of a signal? A wavelet-based approach compared to the Empirical Mode Decomposition

    Deliège, Adrien
    Researchers are often confronted with time series that display pseudo-periodic tendencies with time-varying amplitudes and frequencies. In that framework, a classic Fourier analysis of the data may be of limited interest, especially if the objective is to derive components from the signal that capture the non-stationary behaviour of the oscillating factors. In this talk, we present two powerful tools designed to extract amplitude modulated-frequency modulated (AM-FM) components from a given signal. The first one is the renowned Empirical Mode Decomposition (EMD); we explain the technique, its main benefits, limitations and major practical uses. Then, we introduce the continuous wavelet transform...

  5. Comparison of Micro-objective Nonparametric Statistical Matching Techniques for Integration of Different Survey Data

    Eftekhar, Hamed; Cools, Mario
    Peer reviewed

  6. Practical teaching of GIS at University of Liège

    Kasprzyk, Jean-Paul

  7. L'existant et l'ayant existé. Documenter le patrimoine dans la diachronie

    Van Ruymbeke, Muriel; Carré, Cyril; Billen, Roland
    Peer reviewed

  8. Projet 3WSA : Rapport d'évaluation Les Modèles Hydrologiques face aux "risques Industriels"

    MAGERMANS, POL; Everbecq, Etienne; Grard, Aline; Deliège, Jean-François

  9. Embedded solids of any dimension in the X-FEM. Part II - Imposing Dirichlet boundary conditions

    Duboeuf, Frédéric; Béchet, Eric
    Peer reviewed

  10. Embedded solids of any dimension in the X-FEM. Part I - Building a dedicated P1 function space

    Duboeuf, Frédéric; Béchet, Eric
    Peer reviewed

  11. How to extract the oscillating components of a signal? A wavelet-based approach compared to the Empirical Mode Decomposition

    Deliège, Adrien

  12. Eléments pour une nouvelle ingénierie de l'agriculture

    du Jardin, Patrick
    Peer reviewed

  13. Design sensitivity analysis for shape optimization based on the Lie derivative

    Kuci, Erin; Henrotte, François; Duysinx, Pierre; Geuzaine, Christophe
    Peer reviewed

  14. Studying the impact characteristics of spray droplets on plant surfaces using a multiphase CFD model

    Delele, Mulugeta Admasu; Nuyttens, David; Ambaw, A; Lebeau, Frédéric; Nicolae, Bart; Verboven, Pieter
    Peer reviewed

  15. Efficient Computation of the Minimum of Shape Quality Measures on Curvilinear Finite Elements

    Johnen, Amaury; Geuzaine, Christophe; Toulorge, Thomas; Remacle, Jean-François
    Peer reviewed

  16. Point Clouds as an Efficient Multiscale Layered Spatial Representation

    Poux, Florent; Neuville, Romain; Hallot, Pierre; Billen, Roland
    Peer reviewed

  17. Predicting the dynamic impact behaviour of spray droplets on flat plant surfaces

    Delele, Mulugeta Admasu; Nuyttens, David; Douga, Ashenafitilahun T.; Ambaw Tsige, A.; Lebeau, Frédéric; Nicolae, Bart; Verboven, Pieter
    Peer reviewed

  18. Integration of excimer laser micromachining in a biomedical sensor microfabrication process

    Gailly, Patrick; Hastanin, Juriy; Lenaerts, Cedric; Fleury-Frenette, Karl
    In the frame of the Interreg IV project “MICROBIOMED”, the Centre Spatial de Liège (CSL) participated to the development of an original concept of plasmonic-related instrumentation platform dedicated to diagnostic biosensing tests out of the laboratory. The developed instrumental platform includes both disposable one-use microfluidic affinity biochip and compact optical readout device for biochip monitoring involving mobile Internet devices for data processing and communication. The biochip includes both microfluidic and optical coupling structures formed into a single plastic slab (see Fig. 1). The microfluidic path of the biochip operates in passive capillary pumping mode. The optical detection part involves Surface...

  19. Evaluation du cursus  Sciences industrielles et de l’ingénieur industriel

    Courard, Luc

  20. Sleep and Electroencephalography, Preprocessing and analyses of a specific sleep EEG pattern

    Coppieters't Wallant, Dorothe
    Preprocessing and analyses of a specific sleep EEG pattern. Automatic detection methods, self-adjustable to individuals characteristics, were developed in order to remove artefacts from EEG sleep recordings, detect sleep spindles and analyse NREM power spectrum. Methods are described, assessed and discussed.

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