Matching experimental data

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  • CO2 injection has recently been shown to provide significant enhanced oil recovery from naturally fractured reservoirs1. Li et al. (2000) performed CO2 injection at 1750 psig on artificially-fractured cores after water flooding in a dead-oil system. Gravity drainage was suggested to be the dominant recovery mechanism in these tests, with significant tertiary oil recovery after water flooding. The authors observed that the recovery of initial oil at the start of the CO2 injection declined as the rock permeability decreased and the initial water saturation increased....

    pdf0p aries23 29-09-2012 49 8   Download

  • This solution does not require a high computational power. The methodology is a threedimensional map based approach, which uses the 3D map of the surrounding environment and data acquired by a tilting Laser Range Finder (LRF), to pinpoint the robot pose. Experimental results about the accuracy of the proposed method are presented in this paper.

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  • In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels of crowd response which can be correlated to key events.

    pdf10p giamdocamnhac 06-04-2013 48 4   Download

  • The subjects then used an online system to perform the experimental task. A copy of the text specification with the example diagram was placed in front of the computer for easy reference, and the UML experimental diagrams were presented in random order for each subject. The subjects gave a yes/no response to each presented diagram, indicating whether they thought the diagram matched the specification or not: two keys on the keyboard were used for this input. 16 practice diagrams (randomly selected from the 21 experimental diagrams) were presented first.

    pdf9p giamdocamnhac 06-04-2013 29 3   Download

  • We present a new approach to stochastic modeling of constraintbased grammars that is based on loglinear models and uses EM for estimation from unannotated data. The techniques are applied to an LFG grammar for German. Evaluation on an exact match task yields 86% precision for an ambiguity rate of 5.4, and 90% precision on a subcat frame match for an ambiguity rate of 25. Experimental comparison to training from a parsebank shows a 10% gain from EM training.

    pdf8p bunrieu_1 18-04-2013 36 1   Download



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