1,720,968 research outputs found

    MUBIDUS-I: A multibiometric and multipurpose dataset

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    Individual biometric traits can seldom fulfill the requirements of security systems in the wild, so researchers were led to investigate multi-biometric/multi-modal systems. This has produced increasing demand for datasets suitable for validating multi-trait and multi-modal biometric systems. Recent devices available for image acquisition and processing can provide a wide range of data sources for biometric applications. The purpose of this work is to present a new multi-biometric dataset that includes a number of traits and acquisition devices wider than most existing datasets. It includes images and videos acquired from 80 subjects in an indoor and outdoor environment, in controlled and non-controlled conditions. Traits such as face, periocular regions, ear, iris, and others are acquired by cameras, mobile devices, and a drone. The data are structured to support experiments adhering to the most common protocols in the literature

    Remote 3D face reconstruction by means of autonomous unmanned aerial vehicles

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    The 3D face model of an individual includes a rich amount of information useful in many application scenarios. Currently, the 3D reconstruction from images is obtained through multiple acquisitions at different distances and angles in a controlled environment. “In the wild’ conditions, or inadequate acquisition systems, can make 3D reconstruction a strongly error-prone problem. This paper illustrates a system that creates 3D face models from images taken by unmanned aerial vehicles in a completely automatic way. The proposed method is adaptive, dynamic, and contactless. No human intervention is required for image acquisition. Experimental results are described—in particular, the comparison between the ideal 3D reconstructions, obtained in controlled and cooperative conditions, and the reconstructions obtained by the drone during flight at different resolutions. The results show good overlap of the models and a low co-registration error. Given the free mobility of the UAVs, the system is suitable, among other applications, for biometrics and open-air access control over large areas

    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

    Environmental monitoring and assessment: A multi-scale and multiparameter case study in Campania Region (S Italy) on the recreational seawater quality evaluation

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    Multiple recreational seawater pollution episodes affected the coasts of Campania region (Southern Italy) during the 2019 summer season (May through September). The region’s population detected evidence of this pollution by a change in the water colour (to green–brown).This pollution was only partially revealed by conventional monitoring and standardized indicators performed by the Campania Region Environmental Protection Agency (ARPAC). Starting with this evidence, a multidisciplinary team that included representatives from both Italian and United States universities, the Regional Environmental Protection Agency, and the Italian Coast Guard, studied the phenomenon and found all three actors of the environmental model source-path-target. The research was performed using the Multi-level and Multi-parametric monitoring (MUM3) framework, following a bottom-up approach, comprising both onsite and remote sampled and sensed data, that begins at the surface level and scales up to determine the extent as well as the source of the pollution. By this approach, the presence of a microalgae bloom (Pyramimonas spp. and Euglena spp.) has been disclosed and it has been related to the higher amount of nutrients loading by river inflows, due to the precipitation anomalies occurred in May 2019 in that site. This study represents the first application of a real testbed of the MUM3 framework that follows a bottom-up approach showing the added value of this multi-scale and multiparameter methodology for environmental monitoring and assessment, where conventional methods often fail

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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