1,720,981 research outputs found

    DTNperf_3: A further enhanced tool for Delay-/Disruption- Tolerant Networking Performance evaluation

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    Delay-/Disruption- Tolerant Networking (DTN) was first conceived to cope with the impairments of Inter-Planetary Internet. Then its scope was enlarged to cover all “challenged networks”, where long delays, disruption, link intermittency and other challenges prevent, or make difficult, the use of ordinary Internet architecture. To assess DTN performance in such heterogeneous scenarios as space communications (including both satellite and deep space) and wireless sensor networks, it is essential to develop suitable evaluation tools, with highly flexible use. In this paper we present the third major release of DTNperf, a client-server evaluation tool designed to assess goodput and to provide logs in DTN Bundle Protocol (BP) architectures. It has been greatly extended in many respects, including full support of both DTN2 and ION (the BP reference implementation and that developed by NASA JPL, respectively). The aim of the paper is to present both new and enhanced features and a variety of application examples, mainly focused on satellite and space communications, in order to promote its use within the DTN community. DTNperf_3 is to be included in DTN2, as were previous versions, and for the first time also in ION

    Il malato immaginato

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    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    L’accertamento medico-legale

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    L'accertamento della condotta colposa civile e penale, derivante dalle molteplici attività e prestazioni che caratterizzano l'esercizio della professione sanitaria, imputabili alla struttura, ai personale medico e agli altri operatori di categoria, rappresenta il "sistema" della responsabilità sanitaria, radicalmente rivoluzionato dalla legge 24/2017 cd. Legge Gelli-Bianco. Il volume, partendo da questo nuovo assetto normativo, contribuisce a fornire una lettura pratica di tutti gli aspetti giuridici sostanziali e procedurali di questa complessa materia, evidenziandone luci ed ombre interpretative alla luce di quello che è stato il dibattito dottrinale e giurisprudenziale avvenuto negli anni passati, nonché dei primi orientamenti post riforma di merito e di legittimità, soprattutto in ambito di colpa medica penale. La trattazione affronta, altresì, le questioni legate agli oneri assicurativi del rischio sanitario e, in particolare, quelle riferite alle principali discipline specialistiche clinico-sanitarie, e dà ampio spazio alla complessa tematica dell¿accertamento medico legale e delle linee guida come strumento di indirizzo per valutazione in ambito clinico. Importante è anche l'impatto che la recente legge n. 219 del 14 dicembre 2017 ha prodotto rispetto al tema della responsabilità per mancato consenso informato

    Forecasting the Usage of Household Appliances Through Power Meter Sensors for Demand Management in the Smart Grid

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    Electricity demand management mechanisms are expected to play a key role in smart grid infrastructures to reduce buildings power demand at peak hours, by means of dynamic pricing strategies. Unfortunately these kinds of mechanisms require the users to manually set a lot of configuration parameters, thereby reducing the usability of these solutions. In this paper we propose a system, developed within the BEE Project, for predicting the usage of household appliances in order to automatically provide inputs to electricity management mechanism, exactly in the same way a user could do. In our architecture we use a wireless power meter sensor network to monitor home appliances consumption. Data provided by sensors are then processed every 24 hours to forecast which devices will be used on the next day, at what time and for how long. This information represents just the input parameters required by load demand management systems, hence avoiding complex manual settings by the user
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