Now showing items 208-227 of 2799

  • 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 Battle of the Water Networks II (BWN-II) 

    Marchi, A.; Salomons, E; Ostfeld, A.; Kapelan, Zoran; Simpson, A; Zecchin, A. C.; Maier, H.R.; Wu, Z; Elsayed, S; Song, Y; Walski, T.; Stokes, C; Wu, W; Dandy, G.C.; Alvisi, S; Creaco, Enrico; Franchini, Marco; Saldarriaga, J; Páez, D; Hernandez, David; Bohórquez, J; Bent, R; Coffrin, C; Judi, D; McPherson, T; van Hentenryck, P; Matos, J; Monteiro, A; Matias, N; Yoo, D; Lee, H; Kim, J; Iglesias-Rey, P; Martínez-Solano, F; Mora-Meliá, D; Ribelles-Aguilar, J; Guidolin, Michele; Fu, Guangtao; Reed, P.M.; Wang, Qi; Liu, H; McClymont, K; Johns, Matthew B.; Keedwell, Edward; Kandiah, V; Jasper, M; Drake, K; Shafiee, E; Barandouzi, M; Berglund, A; Brill, D; Mahinthakumar, G; Ranjithan, R; Zechman, E; Morley, Mark S.; Tricarico, Carla; de Marinis, G.; Tolson, B; Khedr, A; Asadzadeh, M (American Society of Civil Engineers, 2013-05-18)
    The Battle of the Water Networks II (BWN-II) is the latest of a series of competitions related to the design and operation of water distribution systems (WDSs) undertaken within the Water Distribution Systems Analysis ...
  • 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 ...
  • A Bayesian framework for verification and recalibration of ensemble forecasts: How uncertain is NAO predictability? 

    Siegert, Stefan; Stephenson, David B.; Sansom, Philip G.; Scaife, Adam A.; Eade, Rosie; Arribas, Alberto (arXiv.org, 2015-04-08)
    Predictability estimates of ensemble prediction systems are uncertain due to limited numbers of past forecasts and observations. To account for such uncertainty, this paper proposes a Bayesian inferential framework that ...
  • Bayesian history matching of complex infectious disease models using emulation: a tutorial and a case study on HIV in Uganda 

    Andrianakis, Ioannis; Vernon, Ian R.; McCreesh, Nicky; McKinley, Trevelyan J.; Oakley, Jeremy E.; Nsubuga, Rebecca N.; Goldstein, Michael; White, Richard G. (Public Library of Science, 2015-01)
    Advances in scientific computing have allowed the development of complex models that are being routinely applied to problems in disease epidemiology, public health and decision making. The utility of these models depends ...
  • 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. ...
  • Bayesian matching for X-ray and infrared sources in the MYStIX project 

    Naylor, T; Broos, PS; Feigelson, ED (American Astronomical Society, 2013-11-14)
    Identifying the infrared counterparts of X-ray sources in Galactic plane fields such as those of the MYStIX project presents particular difficulties due to the high density of infrared sources. This high stellar density ...
  • 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)
  • A Bayesian methodology for estimating uncertainty of decisions in safety-critical systems 

    Schetinin, Vitaly; Fieldsend, Jonathan E.; Partridge, Derek; Krzanowski, Wojtek J.; Everson, Richard M.; Bailey, Trevor C.; Hernandez, Adolfo (IOS Press, 2006)
    Uncertainty of decisions in safety-critical engineering applications can be estimated on the basis of the Bayesian Markov Chain Monte Carlo (MCMC) technique of averaging over decision models. The use of decision tree (DT) ...
  • Bayesian model choice in cumulative link ordinal regression models 

    McKinley, Trevelyan J.; Morters, Michelle K.; Wood, James L. N. (International Society for Bayesian Analysis (ISBA), 2015-01-28)
    The use of the proportional odds (PO) model for ordinal regression is ubiquitous in the literature. If the assumption of parallel lines does not hold for the data, then an alternative is to specify a non-proportional odds ...
  • Bayesian Spectral Analysis with Student-t Noise 

    Christmas, JT (Institute of Electrical and Electronics Engineers (IEEE), 2014-06-01)
    We introduce a Bayesian spectral analysis model for one-dimensional signals where the observation noise is assumed to be Student-t distributed, for robustness to outliers, and we estimate the posterior distributions of the ...
  • 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 ...
  • A BEMT model for a high solidity, hubless and ducted tidal stream turbine 

    Allsop, S; Peyrard, C; Thies, PR (Tidal Energy Research Group, 2016-03)
    A Blade Element Momentum Theory (BEMT) model for ‘conventional’ 3 bladed designs of Tidal Stream Turbine (TST) is presented, with validations from scale model experiments carried out in a cavitation tunnel. Assumptions and ...
  • Benchmarking and developing numerical Finite Element models of volcanic deformation 

    Hickey, J; Gottsmann, J (Elsevier, 2014-06)
    Volcanic deformation during an unrest episode can provide valuable insights into potential magmatic plumbing system dynamics. Paramount to this is a model linking the recorded ground movement to the causative source ...