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Vakgroep Algemene Elektriciteit en Instrumentatie (VUB-ELEC)
seadatanet.maris2.nl/v_edmo/print.asp?n_code=2070
wwwtw.vub.ac.be/elec
English name: Fundamental Electricity and Instrumentation
Parent institute: Vrije Universiteit Brussel; Faculteit Ingenieurswetenschappen (VUB-IR), more

Thesaurus terms (2) : Acoustics; Ultrasonics
Geographical term : ISE, Ecuador, Guayaquil
Address:
Pleinlaan 2
1050 Elsene
Belgium
Tel.: +32-(0)2-629 27 67
Fax: +32-(0)2-629 28 50
E-mail:
 Publications | Projects 
 
Type: Scientific
Abstract:
The research in the department is structured around four main topics:

  1. Set-up of computer controlled measurement systems, design of new intelligent instruments, processing of the measured data and the implementation of A.I. techniques in instruments for the automatic interpretation of the acquired measurements, with a lot of applications in earth science. The research in telecommunication deals with voice coded transmissions (telephony) and with robust coded digital transmission. And in the field of underwater acoustics, fundamental and applied research is carried out in the field of the modelling of marine systems, marine acoustics, subbottom profiling and sediment classification.
  2. Study and development of basic concepts on identification theory with applications towards linear, non-linear, lumped and distributed systems and covering the disciplines of mechanics and electrical power engineering. Special attention is devoted to the design of optimal experiments.
  3. The study of the modelling and the development of vectorial measurements methods for non-linear microwave telecommunication components and systems are central in the research. Implementation of engineering and physics concepts for the improving of image quality evaluation and dose in radiology.In the field of underwater acoustics important research projects are developed since 1985. Fundamental as well as applied research is carried out in the field of the modelling of marine systems, marine acoustics, subbottom profiling and sediment classification. Marine environmental studies based on GIS-techniques are of prime importance in this group as well.
  4. Identification of biogeochemical signals & systems (IBiSS):
    - Pre- and post-signal processing of solid substrate measurements
    - Parameter estimation and constrained optimization of climatological and ecological models
    - Validation of environmental models

The long term goal is to build measurement based models for environmental systems. The current trend is to build more complex models in order to simulate the ‘real’ world, while a ‘good’ model is not necessarily the most complex model. On the contrary, it only needs that complexity, which is supported by experimental measurements. It has to be able to describe all significant variation in the data, without modelling the stochastic measurement uncertainties. These models are used for two purposes: (i) to extract the maximum amount of significant information out of noisy measurements; (ii) to make future predictions.
Publications (22)  Top | Projects 
    ( 21 peer reviewed ) split up filter
  • Peer reviewed article Mishra, V.K.; Dutta, B.; Goh, M.; Figueira, J.R.; Greco, S. (2021). A robust ranking of maritime connectivity: revisiting UNCTAD's liner shipping connectivity index (LSCI). Maritime Economics & Logistics 23: 424-443. https://hdl.handle.net/10.1057/s41278-021-00185-8, more
  • Peer reviewed article Lay-Ekuakille, A.; Durickovic, I.; Lanzolla, A.; Morello, R.; De Capua, C.; Girao, P.S.; Postolache, O.; Massaro, A.; Van Biesen, L. (2019). Effluents, surface and subterranean waters monitoring: review and advances. Measurement 137: 566-579. https://dx.doi.org/10.1016/j.measurement.2019.01.052, more
  • Peer reviewed article Sinnesael, M.; Zivanovic, M.; De Vleeschouwer, D.; Claeys, P.; Schoukens, J. (2016). Astronomical component estimation (ACE v.1) by time-variant sinusoidal modeling. Geosci. Model Dev. 9(10): 3517-3531. https://dx.doi.org/10.5194/gmd-9-3517-2016, more
  • Peer reviewed article Hijbeek, R.; Koedam, N.; Khan, M.N.I.; Schoukens, J.; Dahdouh-Guebas, F.; Khan, M.N.I. (2013). An evaluation of plotless sampling using vegetation simulations and field data from a mangrove forest. PLoS One 8(6): e67201. https://dx.doi.org/10.1371/journal.pone.0067201, more
  • Peer reviewed article Joly-Turquin, G.; Dubois, P.; Leyzour, S.; Pernet, P.; De Ridder, F.; Pintelon, R.; Guillou, M. (2013). Contrasting relationships between pyloric caecum and gonad growth in the starfish Asterias rubens: combined field and experimental approaches. J. Mar. Biol. Ass. U.K. 93(4): 1073-1086. dx.doi.org/10.1017/S0025315412000124, more
  • Peer reviewed article Beelaerts, V.; Bauwens, M.; Pintelon, R. (2012). Time series reconstruction from unequally spaced natural archive data. Math. Geosc. 44(3): 283-307. https://dx.doi.org/10.1007/s11004-012-9385-6, more
  • Peer reviewed article Bauwens, M.; Ohlsson, H.; Barbé, K.; Beelaerts, V.; Dehairs, F.; Schoukens, J. (2011). On climate reconstruction using bivalves: three methods to interpret the chemical signature of a shell. Comput. Methods Programs Biomed. 104(2): 104-111. http://dx.doi.org/10.1016/j.cmpb.2010.08.020, more
  • Peer reviewed article Beelaerts, V.; Bauwens, M.; Versteegh, E.; Dehairs, F.; Pintelon, R. (2011). Periodic time-series modeling of environmental proxy records with guaranteed positive growth rate estimation. Math. Geosc. 43(6): 635-662. http://dx.doi.org/10.1007/s11004-011-9352-7, more
  • Peer reviewed article Bauwens, M.; Ohlsson, H.; Barbé, K.; Beelaerts, V.; Schoukens, J.; Dehairs, F. (2010). A nonlinear multi-proxy model based on manifold learning to reconstruct water temperature from high resolution trace element profiles in biogenic carbonates. Geosci. Model Dev. 3(2): 653-667. http://dx.doi.org/10.5194/gmd-3-653-2010, more
  • Peer reviewed article Beelaerts, V.; De Ridder, F.; Schmitz, N.; Bauwens, M.; Pintelon, R. (2010). Time-series reconstruction from natural archive data with the averaging effect taken into account. Math. Geosc. 42(6): 705-722. https://dx.doi.org/10.1007/s11004-010-9292-7, more
  • Peer reviewed article Beelaerts, V.; De Ridder, F.; Schmitz, N.; Bauwens, M.; Dehairs, F.; Schoukens, J.; Pintelon, R. (2009). On the elimination of bias averaging-errors in proxy records. Math. Geosc. 41(2): 129-144. https://dx.doi.org/10.1007/s11004-008-9193-1, more
  • Peer reviewed article de Brauwere, A.; De Ridder, F.; Gourgue, O.; Lambrechts, J.; Comblen, R.; Pintelon, R.; Passerat, J.; Servais, P.; Elskens, M.; Baeyens, W.; Kärnä, T.; de Brye, B.; Deleersnijder, E. (2009). Design of a sampling strategy to optimally calibrate a reactive transport model: Exploring the potential for Escherichia coli in the Scheldt Estuary. Environ. Model. Softw. 24(8): 969-981. dx.doi.org/10.1016/j.envsoft.2009.02.004, more
  • Peer reviewed article de Brauwere, A.; De Ridder, F.; Pintelon, R.; Schoukens, J.; Dehairs, F. (2009). A comparative study of methods to reconstruct a periodic time series from an environmental proxy record. Earth-Sci. Rev. 95(3-4): 97-118. dx.doi.org/10.1016/j.earscirev.2009.04.002, more
  • Peer reviewed article de Brauwere, A.; De Ridder, F.; Pintelon, R.; Meersmans, J.; Schoukens, J.; Dehairs, F.A. (2008). Identification of a periodic time series from an environmental proxy record. Comput. Geosci. 34(12): 1781-1790. https://dx.doi.org/10.1016/j.cageo.2008.01.007, more
  • Peer reviewed article de Brauwere, A.; Jacquet, S.H.M.; De Ridder, F.; Dehairs, F.; Pintelon, R.; Schoukens, J.; Baeyens, W. (2007). Water mass distributions in the Southern Ocean derived from a parametric analysis of mixing water masses. J. Geophys. Res. 112(C02021): 16 pp. dx.doi.org/10.1029/2006JC003742, more
  • Peer reviewed article De Brauwere, A.; Jacquet, S.H.M.; De Ridder, F.; Dehairs, F.; Pintelon, R.; Schoukens, J.; Baeyens, W. (2006). A parametric method for water mass analysis applied to the Southern Ocean. Geochim. Cosmochim. Acta 70(18): A134-A134. dx.doi.org/10.1016/j.gca.2006.06.284, more
  • Peer reviewed article de Brauwere, A.; De Ridder, F.; Elskens, M.; Schoukens, J.; Pintelon, R.; Baeyens, W.F.J. (2005). Refined parameter and uncertainty estimation when both variables are subject to error. Case study: estimation of Si consumption and regeneration rates in a marine environment. J. Mar. Syst. 55(3-4): 205-221. dx.doi.org/10.1016/j.jmarsys.2004.09.006, more
  • Peer reviewed article Verheyden, A.; De Ridder, F.; Schmitz, N.; Beeckman, H.; Koedam, N. (2005). High-resolution time series of vessel density in Kenyan mangrove trees reveal a link with climate. New Phytol. 167(2): 425-435. dx.doi.org/10.1111/j.1469-8137.2005.01415.x, more
  • Peer reviewed article De Ridder, F.; Pintelon, R.; Schoukens, J.; Gillikin, D.P.; André, L.; Baeyens, W.F.J.; de Brauwere, A.; Dehairs, F.A. (2004). Decoding nonlinear growth rates in biogenic environmental archives. Geochem. Geophys. Geosyst. 5(12): Q12015 (16 pp.). dx.doi.org/10.1029/2004GC000771, more
  • Peer reviewed article Temsamani, A.B.; Vandenplas, S.; Van Biesen, L. (2001). Estimation of underwater acoustic fields at high frequencies, in: IEEE OCEANS, 2001. MTS/IEEE Conference and Exhibition. Oceans (New York), 1-4: pp. 1562-1572, more
  • Peer reviewed article Vandenplas, S.; Temsamani, A.B.; Van Biesen, L. (2001). Estimation of sediment properties using frequency domain identification and marine acoustics, in: IEEE OCEANS, 2001. MTS/IEEE Conference and Exhibition. Oceans (New York), 1-4: pp. 697-706, more
  • Ohlsson, H.; Bauwens, M.; Ljung, L. (2009). On manifolds, climate reconstruction and bivalve shells, in: Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference. pp. 5738-5743. https://dx.doi.org/10.1109/CDC.2009.5400866, more
Projects (9)  Top | Publications 
  • Application of a Spectral Estimation System for the Determination of Cyclicities on Continental sediments, more
  • Automisation of acoustic laboratory experiments in a watertank to be used in the research for the improvement of measurement methods for the characterization of stratified marine media using system identification techniques, more
  • Characterisation and identification of sediments in shallow water by means of high frequency accoustic 'remote sensing', more
  • Development of a multidisciplinary geographical informationsystem (GIS) in the area of Guayaquil in order to monitor the modellisation of the Guayas estuarium and the Estero Salado, more
  • Fundamental study of functional relations between acoustical and sedimentological properties of marine sediments, more
  • Optimalisation of scaled ultrasone experiments for the identification of golfreproduction models for layered marine systems, more
  • POSEIDON: The Remote Detection of Sediment Instability of the European Continental Margin and Slope, more
  • Resolutieverhogende lokalisatietechnieken voor navigatie, more
  • SIGMA: Sediment Identification for Geotechnics by Marine Acoustics, more
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Publications | Projects