1,721,058 research outputs found

    SUPERHUB approach on exploiting mobility patterns for smart urban applications

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    Real-time traffic and transportation data are key factors for improving urban mobility services. With the emergence of smartphones, traditional data sources such as cameras and road sensors could be replaced with innovative approaches centred around smartphone users. The SUPERHUB project proposes a novel user centric approach for gathering, processing and consuming information in order to provide ecological-friendly multi-modal journey planning. Traffic sensing and Floating Car Data are addressed by two different methodologies to provide historical and real-time traffic analysis then merged to provide a unified traffic model called Speed Profile. In this paper, we present our innovative approach in aggregating different heterogeneous sources to identify mobility patterns, speed and traffic flow. Then we discuss its business benefits and its applications

    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

    Quantifying persistent behavior in earth's apparent resistivity time series

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    The multiple segmenting method (MSM) has been applied to investigate the scaling behaviour in the Earth's apparent resistivity time series, measured in a seismic area of southern Italy. The study of apparent resistivity represents one of the most important scientific challenges in the studies devoted to the geophysical monitoring. Our results show that apparent resistivity is characterized by a persistent scaling behvaiour at all the periods considered, with the scaling exponent tending approximately to 0.5

    Discriminating climatological regimes in rainfall time series by using the Fisher-Shannon method

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    The Fisher-Shannon (FS) information plane, defined by the Fisher information measure (FIM) and the Shannon entropy power (Nx), was robustly used to investigate the complex dynamics of 8 long monthly rainfall time series in central Argentina, recorded from 1860 to 2006. In the FS plane, the rainfall series seem to aggregate into three different clusters corresponding to three different climatological regimes in central Argentina. Our findings suggest the use of the statistical quantity defined by the FS information plane as a tool to discriminate among different climatological regimes.Fil: Pierini, Jorge Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaFil: Scian, Beatriz Viviana. Universidad Nacional del Sur; ArgentinaFil: Lovallo, M.. ARPAB; ItaliaFil: Telesca L. Institute of Methodologies for Environmental Analysis; Itali
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