1,724,831 research outputs found

    Strategic Analysis of Wal-Mart

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    Submitted by Susan McElrath ([email protected]) on 2011-03-09T17:19:08Z No. of bitstreams: 1 Yang, Fan 2009S.pdf: 1692272 bytes, checksum: eb5db5ba3499281641c54c2ef0c9f7f0 (MD5)Made available in DSpace on 2011-03-09T17:19:09Z (GMT). No. of bitstreams: 1 Yang, Fan 2009S.pdf: 1692272 bytes, checksum: eb5db5ba3499281641c54c2ef0c9f7f0 (MD5

    Yang, Fan

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    Yang, Fan

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    Optimal Capital Structure and Risk Management Policies of Banks that use CoCo Futures to Hedge Financial Sector Risk

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    This file contains the Matlab code used in the paper ‘Optimal Capital Structure and Risk Management Policies of Banks that use CoCo Futures to Hedge Financial Sector Risk’ written by Robert Goldstein and Fan Yang

    Dataset for the article: "Measured Behaviour of a Memristor-Based Tuneable Instrumentation Amplifier"

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    The excel file includes the measured data used for generating the Fig 2 to 5 in the paper &#39;Measured Behaviour of a Memristor-Based Tuneable Instrumentation Amplifier&#39;. The PNG file inclues the Fig 2 to 5 in the paper which were generated based on the data in the excel file. The figures are as follows: Fig2. Impedance-frequency function of TiOx/Al2O3 10&times;10&micro;m2 memristor devices. Fig3. Gain response of the instrumentation amplifier for a set of memristor resistances and a based line given by 30k&Omega; discrete resistor. Fig4. THD+N of the instrumentation amplifier with input signal amplitude from 30mV to 300mV. Fig5. THD+N of the instrumentation amplifier uses 3 memristors compare with uses 1 memristor.</span

    Optimal control in partially observable complex social systems

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    We live in a world full of complex social systems. Achieving optimal control in a complex social system is challenging due to the difficulty in modeling and optimization. To capture the complex social system dynamics accurately and succinctly, we model the decision-making problem as a partially observable discrete event decision process. To withstand the curse of dimensionality in highdimensional belief state spaces and to optimize the problem in an amenable searching space, we investigate the connections between the value function of a partially observable decision process and that in the corresponding fully-observable scenario, and reduce the optimal control of a partially observable discrete event decision process to a policy optimization with a specially formed fully observable decision process and a belief state estimation. When tested in real-world transportation scenarios, in comparison with other state-of-the-art approaches, our proposed algorithm leads to the least average time on-road, the largest number of vehicles at work during work hours and the fewest training epochs to converge to the highest total rewards per episode

    Measured behaviour of a memristor-based tuneable instrumentation amplifier

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    A memristor-based tuneable instrumentation amplifier whose gain value can be adjusted by memristor is implemented and measured. While memristive devices are suitable for implementing reconfigurable circuit designs, their non-linear characteristic and parasitic capacitance can impact performance. In this work, an instrumentation amplifier is built on breadboard using off-the-shelf OpAmps and packaged memristor devices and its performance is assessed. Results are compared with an identical design that preplaces memristors with resistors (losing reconfigurability in the process), to reveal the effects arising from the memristor's characteristics. Effects on frequency response, common mode rejection ratio (CMRR) and total harmonic distortion plus noise (THD+N) are observed. The memristor-based instrumentation amplifier begins to be affected by the non-linearity of the device only when the base OpAmps have a THD value below 0.3%. The bandwidth of the instrumentation amplifier is limited by the parasitic capacitance of memristors, and CMRR has small variation when using memristor to replace the original gain resistor. The THD+N value is large compared with identical design, but it is also found that by applying multiple memristors the increasing of THD+N can be relieved.</p

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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