1,720,996 research outputs found
A regional model for estimating the probability distribution of routed peak discharges
Si propone un metodo di analisi regionale per individuare la distribuzione di probabilità delle portate al colmo delle onde di piena laminate a partire da quella delle portate al colmo delle onde di piena in ingresso
Strategie per la qualità: stato dell'arte delle conoscenze e sviluppi di ricerca in ambito internazionale
In-situ Quality Monitoring of Extrusion-based Additive Manufacturing via Random Forests and clustering
The attention towards in-situ sensing in Additive Manufacturing has dramatically increased over the last years, paving the way to a paradigm shift for quality monitoring and control via big data analysis of signals, images and videos. Insitu quality monitoring represents an opportunity for waste reduction and costs savings via inline detection of process flaws, which allows early identification of scraps and the possibility to correct process parameters for a first-time-right production. Despite of this great potential, no clear and assessed methodologies exist to automatically detect out-of-control states and defects occurrence via in-situ image analysis. This paper discusses opportunities and challenges of in-situ monitoring of Extrusion-based Additive Manufacturing processes by presenting a methodology for in-line defect detection based on stochastic textured surface modelling via Random Forests and k-means clustering for control charting. Significant advantages are shown thus presenting an interesting direction for future research
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
Dispelling the Myths Behind First-author Citation Counts
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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