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Now showing items 81-100 of 1380

  • Automated Detection of Pipe Bursts and other Events in Water Distribution Systems 

    Romano, Michele; Kapelan, Zoran; Savic, Dragan (American Society of Civil Engineers, 2012)
    This paper presents a new methodology for the automated near real-time detection of pipe bursts and other events which induce similar abnormal pressure/flow variations (e.g., unauthorised consumptions) at the District ...
  • Automatic multi-objective sectorization of a water distribution network 

    De Paola, F.; Fontana, N.; Galdiero, E.; Giugni, M.; Savic, Dragan; Sorgenti Degli Uberti, G. (Elsevier, 2014)
    This paper deals with optimization of Water Distribution Networks (WDNs) by establishing District Metered Areas (DMAs). A methodological approach for the automatic partitioning of a WDN into DMAs is presented and discussed. ...
  • Babinet’s principle and the band structure of surface waves on patterned metal arrays 

    Edmunds, James D.; Taylor, Melita C.; Hibbins, Alastair P.; Sambles, J. Roy; Youngs, I.J. (American Institute of Physics, 2010)
    The microwave response of an array of square metal patches and its complementary structure, an array of square holes, has been experimentally studied. The resonant phenomena, which yield either enhanced transmission or ...
  • Back to the future: Assessing the impact of the 2004 flood in Dhaka in 2050 

    Khan, David M.; Taher, Imtiaz; Veerbeek, William; Chen, Albert S.; Hammond, Michael J.; Djordjevic, Slobodan; Butler, David (Centre for Water Systems, University of Exeter, 2013)
    Planning to make a city flood resilient needs proper assessment of the future conditions. Urban growth models are being used as a planning tool for City development. Within the CORFU project flood management strategies ...
  • Backflow in the relaxation of a hybrid aligned nematic cell 

    Jewell, Sharon A.; Sambles, J. Roy (American Institute of Physics, 2003)
    The optical convergent-beam technique has been used to measure the changing director profile in a 4.6 µm ZLI-2293 filled hybrid aligned nematic cell when a 7 Vrms ac voltage was removed. The relaxation process has been ...
  • Balancing of parallel U-shaped assembly lines 

    Kucukkoc, Ibrahim; Zhang, David Z. (Elsevier, 2015-06-11)
    A new hybrid assembly line design, called Parallel U-shaped Assembly Line system, is introduced and characterised along with numerical examples for the first time. Different from existing studies on U-shaped lines, we ...
  • Band gaps in jagged and straight graphene nanoribbons tunable by an external electric field 

    Saroka, V.A.; Batrakov, K.G.; Demin, V.A.; Chernozatonskii, L.A. (IOP Publishing, 2015)
    Band gap control by an external field is useful in various optical, infrared and THz applications. However, widely tunable band gaps are still not practical due to a variety of reasons. Using the orthogonal tight-binding ...
  • Baseline geochemistry of Devonian low-grade metasedimentary rocks in Cornwall: preliminary data and environmental significance. 

    Scott, P.W.; Reid, K.S.; Shail, R.K.; Scrivener, R.C. (The Ussher Society, 2003)
    Geochemical baseline data provide information on the state of the environment before modification by mining and other anthropogenic activities. A summary of the analyses of 41 elements on 100 samples from Devonian ...
  • Battle of background leakage assessment for Water Networks (BBLAWN) at WDSA conference 2014 

    Giustolisi, O.; Berardi, L.; Laucelli, D.; Savic, Dragan; Walski, T.; Brunone, B. (Elsevier, 2014)
    The Battle of Background Leakage Assessment for Water Networks (BBLAWN) is the fifth in a series of "Battle Competitions" dating back to the Battle of the Water Networks (BWN) in 1985 and, more recently, the Battle of the ...
  • The Bayesian Decision Tree Technique with a Sweeping Strategy 

    Schetinin, Vitaly; Fieldsend, Jonathan E.; Partridge, Derek; Krzanowski, Wojtek J.; Everson, Richard M.; Bailey, Trevor C.; Hernandez, Adolfo (2004)
    The uncertainty of classification outcomes is of crucial importance for many safety critical applications including, for example, medical diagnostics. In such applications the uncertainty of classification can be reliably ...
  • Bayesian detection of planetary transits. A modified version of the Gregory-Loredo method for Bayesian periodic signal detection 

    Aigrain, Suzanne; Favata, F. (EDP Sciences, 2002)
    The detection of planetary transits in stellar photometric light-curves is poised to become the main method for finding substantial numbers of terrestrial planets. The French-European mission COROT (foreseen for launch in ...
  • Bayesian estimation and classification with incomplete data using mixture models 

    Zhang, Jufen; Everson, Richard M. (IEEE, 2004)
    Reasoning from data in practical problems is frequently hampered by missing observations. Mixture models provide a powerful general semi-parametric method for modelling densities and have close links to radial basis function ...
  • A Bayesian Framework for Active Learning 

    Fredlund, Richard; Everson, Richard M.; Fieldsend, Jonathan E. (Institute of Electrical and Electronics Engineers (IEEE), 2010)
    We describe a Bayesian framework for active learning for non-separable data, which incorporates a query density to explicitly model how new data is to be sampled. The model makes no assumption of independence between queried ...
  • Bayesian inductively learned modules for safety critical systems 

    Fieldsend, Jonathan E.; Bailey, Trevor C.; Everson, Richard M.; Krzanowski, Wojtek J.; Partridge, Derek; Schetinin, Vitaly (Interface Foundation of North America, Inc., 2003)
    This work examines the use of Bayesian inductively learned software modules for safety critical systems. Central to the safety critical application is the desire to generate confidence measures associated with predictions. ...
  • A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems 

    Schetinin, Vitaly; Fieldsend, Jonathan E.; Partridge, Derek; Krzanowski, Wojtek J.; Bailey, Trevor C.; Everson, Richard M.; Hernandez, Adolfo (IOS Press, 2006)
  • Bayesian unsupervised learning with multiple data types 

    Agius, Phaedra; Ying, Yiming; Campbell, Colin (Walter de Gruyter, 2009)
    We propose Bayesian generative models for unsupervised learning with two types of data and an assumed dependency of one type of data on the other. We consider two algorithmic ap- proaches, based on a correspondence model ...
  • Benchmarking energy consumption and CO2 emissions from rainwater harvesting systems: an improved method by proxy 

    Ward, Sarah; Butler, David; Memon, Fayyaz (IWA (International Water Association), 2010)
    Life cycle analyses (LCAs) show the main operational energy contribution for rainwater-harvesting (RWH) systems come from ultraviolet (UV) disinfection and pumping rainwater from tank to building. Simple methods of estimating ...
  • The Benefits of Laser Scanning & 3D Modelling in Accident Investigation: In a Mining Context 

    Foster, PJ; Jobling-Purser, J; Coggan, John; Eyre, Matthew (Maney on behalf of the Institute and The AusIMM, 2015-06-16)
    Accurate reconstruction of the facts and causes surrounding accidents is critical if the mining industry is to learn from incidents and prevent future events. Effective accident investigation and training are essential ...
  • A bias-corrected decomposition of the Brier score 

    Ferro, Christopher A.T.; Fricker, T.E. (Royal Meteorological Society, 2012)
    The Brier score is a widely used measure of performance for probabilistic forecasts of event occurrences and is often decomposed additively into three terms that quantify the reliability and resolution of the forecasts and ...
  • Biclustering models for structured microarray data 

    Turner, Heather L.; Bailey, Trevor C.; Krzanowski, Wojtek J.; Hemingway, Cheryl A. (IEEE, 2005)
    Microarrays have become a standard tool for investigating gene function and more complex microarray experiments are increasingly being conducted. For example, an experiment may involve samples from several groups or may ...