1,721,776 research outputs found
An Application of Artificial Intelligence and Genetic Algorithm to Support the Discovering of Roman Centuriation Remains
No full textMethodologies and technologies for uncovering archaeological ruins and objects have been advanced by the utilization of Artificial Intelligence (AI). AI supports archaeologists to discover remains that are difficult to be identified manually as they must be sought on a vast territory or because they are hidden from direct observation. Here we present a methodology that integrates deep learning, computer vision and genetic algorithm techniques to identify, from large aerial pictures, remains of the Centuriation, which is an ancient Roman system for the division of lands
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Reinforcement Learning-Based Root Planner for Electric Vehicle
No full textElectric Vehicles (EVs) have been identified as the current innovation for sustainable mobility that reduces carbon emissions and pollution. The transition to electric mobility is accelerating, and this means that services and infrastructures must be ready to support the impact of such a change. Smart applications can leverage this transition contributing to a seamless integration of the expected increase of new energy loads into the electric grid assisting users’ behaviour. At the same time, they must comply with the strict regulations in terms of privacy and deal with limited users’ acceptance. In this context, we propose a Policy-Based Reinforcement Learning agent-based route planner that is able to suggest a route to a driver who starts from a location A traveling to a location B minimizing the number of re-charge sessions along the journey
An improved GPU-oriented algorithm for elastostatic analysis with Boundary Element Method
No full textA parallel, Boundary Element Method procedure for elastostatic problems is here illustrated. Starting from a reference collocation-integration algorithm, a preliminary study, mainly devoted to the performance analysis of the method has been first carried out. Subsequently, three main areas that offer potential improvements have been detected. Several enhanced versions of the algorithm, incorporating the suggested modifications, have been tested and numerically characterized on test-cases with varying boundary conditions and mesh density. Finally, a parallel, high-efficiency, GPU-based version, able to process large domains fully featured with internal solutions has been developed and discussed in terms of cost/benefit ratio and overall performance
An Application of Artificial Intelligence to Support the Discovering of Roman Centuriation Remains
No full textArchaeological research that uncovers ancient artifacts is of critical importance, since ruins and objects are the only way to deal with the history of a city. Artificial intelligence techniques can support the archaeologists to discover remains which are difficult to be identified manually as they must be sought on a vast territory or because they are hidden from direct observation. Here we present an original methodology that integrates deep learning and computer vision techniques to identify, from aerial pictures, remains of the Centuriation, that is an ancient Roman system for the division of the territory
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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