4,630 research outputs found

    Dynamic wavelet neural network model for forecasting returns of SHFE copper futures price

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    Session C8: P13Appropriate forecasting of commodity futures price returns is of crucial importance to achieve hedging effectiveness against the returns volatility risk. This paper presents a nonparametric dynamic recurrent wavelet neural network model for forecasting returns of Shanghai Futures Exchange (SHFE) copper futures price. The proposed model employs a wavelet basis function as the activation function for hidden-layer neurons of the neural network. The aim of this arrangement is to incorporate the fractal properties discovered in futures price return series. In the wavelet transform domain, fractal self-similarity information of the returns series over a certain time scale can be extracted. Input variables are analyzed and selected to facilitate effective forecasting. Statistical indices such as normal mean square error (NMSE) are adopted to evaluate forecasting performance of the proposed model. The forecasted result shows that dynamic wavelet neural network has good prediction properties compared with traditional linear statistical model such as ARIMA and other neural network forecasting models.published_or_final_versionThe 7th International Conference on Digital Enterprise Technology (DET 2011), Athens, Greece, 28-30 September 2011. In Proceedings of the 7th DET, 2011, p. 109-11

    Single grain (LRE)-Ba-Cu-O superconductors fabricated by top seeded melt growth in air

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    We have recently reported a practical processing method for the fabrication in air of large, single grain (LRE)-Ba-Cu-O [where LRE Nd, Sm, Eu and Gd] bulk superconductors that exhibit high Tc and high Jc. The process is based initially on the development of a new type of generic seed crystal that can promote effectively the epitaxial nucleation of any (RE)-Ba-Cu-O system and, secondly, by suppressing the formation of (LRE)/Ba solid solution in a controlled manner within large LRE-Ba-Cu-O grains processed in air. In this paper we investigate the degree of homogeneity of large grain Sm-Ba-Cu-O superconductors fabricated by this novel process. The technique offers a significant degree of freedom in terms of processing parameters and reproducibility in the growth of oriented single grains in air and yields bulk samples with significantly improved superconducting and field-trapping properties compared to those processed by conventional top seeded melt growth (TSMG)

    Microstructural evolution in multiseeded YBCO bulk samples grown by the TSMG process

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    Superconducting single-grain YBCO bulk samples with the ability to trap high magnetic fields can be grown using the top-seeded melt-growth process. Multiseeding techniques have the potential to enable larger diameter bulks to be grown, but the performance of these materials is not yet comparable to the single-seeded bulks. Here we carry out detailed three-dimensional microstructural characterisation on a multiseeded sample grown with the seeds aligned in the 0°-0° geometry using high resolution microanalysis techniques. Chemical and structural variations have been correlated with the trapped field distribution in three separate slices of the sample. The top slice of the sample shows four peaks in trapped field, indicating that the current flows in four separate loops rather than in one large loop within the sample. This has been explained by the build-up in insulating Y-211 particles where the growth fronts from the two seeds meet, forming a barrier to current flow, as well as the low Y-211 content (and hence low JcJ_c) of the large cc-axis growth sector.Engineering and Physical Sciences Research Council (Grant ID: EP/K02910X/1

    Isometric contraction of skeletal muscle with multiple parameters

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    2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    The measurement of skeletal muscle with multi-parameters by sonography

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    2004-2005 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

    Different origins of visible luminescence in ZnO nanostructures fabricated by the chemical and evaporation methods

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    Zinc oxide nanostructures were fabricated using chemical and thermal evaporation methods. Scanning electron microscopy (SEM), x-ray diffraction, photoluminescence, and electron paramagnetic resonance (EPR) spectroscopy were used to study the properties of fabricated nanostructures. The nanostructures fabricated by evaporationg methods exhibited green PL from surface centers. The results show that the luminescence in the visible region has different peak positions in samples prepared by chemical and evaporation methods.published_or_final_versio
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