2,620 research outputs found

    The Future of the Internet III

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    Presents survey results on technology experts' predictions on the Internet's social, political, and economic impact as of 2020, including its effects on integrity and tolerance, intellectual property law, and the division between personal and work lives

    EM based channel estimation in an amplify-and-forward relaying network

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    Cooperative communication offers a way to obtain spatial diversity in a wireless network without increasing hardware demands. The different cooperation protocols proposed in the literature [1] are often studied under the assumption that all channel state information is available at the destination. In a practical scenario, channel estimates need to be derived from the broadcasted signals. In this paper, we study the Amplify-and-Forward protocol and use the expectation-maximization (EM) algorithm to obtain the channel estimates in an iterative way. Our results show that the performance of the system that knows the channels can be approached at the cost of an increased computational complexity. In case a small constellation is used, a low complexity approximation is proposed with a similar performance

    EM based channel estimation in an amplify-and-forward relaying network

    Get PDF
    Cooperative communication offers a way to obtain spatial diversity in a wireless network without increasing hardware demands. The different cooperation protocols proposed in the literature [1] are often studied under the assumption that all channel state information is available at the destination. In a practical scenario, channel estimates need to be derived from the broadcasted signals. In this paper, we study the Amplify-and-Forward protocol and use the expectation-maximization (EM) algorithm to obtain the channel estimates in an iterative way. Our results show that the performance of the system that knows the channels can be approached at the cost of an increased computational complexity. In case a small constellation is used, a low complexity approximation is proposed with a similar performance

    NiFe hydrotalcite-derived catalyst for CO2 reforming of methane: the impact of calcination and reduction temperature

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    Master's thesis in Petroleum engineeringABSTRACT Carbon dioxide (CO2) emissions has become a major environmental concern for today’s society. As energy demand keeps on rising, the transition to cleaner energies is not fast enough to completely reduce greenhouse emissions. Therefore, new solutions must be found. Recently, several researches have been made on one possible solution. Dry reforming of methane (DRM) can utilize methane (CH4) and CO2 two of the most important greenhouse gases for producing valuable syngas as a chemical feedstock for industrial applications. However, DRM process requires a heterogeneous catalyst for its operation and despite the efforts, a suitable catalyst viable from an economical point of view is yet to be found. Recently, studies on Ni-Fe based Hydrotalcite (HT)-derived compounds have presented promising results. In this study a series of bimetallic Ni-Fe HT-derived catalysts with Ni loading of 20 wt.% and Fe/Ni molar ratio of 0.1 were prepared by coprecipitation at high supersaturation (fast injection method) and calcined at different temperatures. The catalysts were characterized by X-ray diffraction (XRD), nitrogen adsorption-desorption, temperature programmed reduction (TPR), and hydrogen chemisorption. The rise in calcination temperature generated an increase on crystallite size and reduction peak. On other hand, effects on surface area followed a bell tendency. Calcined catalysts performance over activity and stability at different reduction temperatures were studied for a DRM reaction at a temperature of 700 °C, atmospheric pressure and a gas hourly space velocity (GHSV) of 120,000 mL.g-1.h-1. Calcination at 600 °C was found to be the overall best performer achieving the highest conversions with good signs of stabilit

    Rethinking De-Perimeterisation: Problem Analysis And Solutions

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    For businesses, the traditional security approach is the hard-shell model: an organisation secures all its assets using a fixed security border, trusting the inside, and distrusting the outside. However, as technologies and business processes change, this model looses its attractiveness. In a networked world, “inside” and “outside” can no longer be clearly distinguished. The Jericho Forum - an industry consortium part of the Open Group – coined this process deperimeterisation and suggested an approach aimed at securing data rather than complete systems and infrastructures. We do not question the reality of de-perimeterisation; however, we believe that the existing analysis of the exact problem, as well as the usefulness of the proposed solutions have fallen short: first, there is no linear process of blurring boundaries, in which security mechanisms are placed at lower and lower levels, until they only surround data. To the contrary, we experience a cyclic process of connecting and disconnecting of systems. As conditions change, the basic trade-off between accountability and business opportunities is made (and should be made) every time again. Apart from that, data level security has several limitations to start with, and there is a big potential for solving security problems differently: by rearranging the responsibilities between businesses and individuals. The results of this analysis can be useful for security professionals who need to trade off different security mechanisms for their organisations and their information systems
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