1,721,004 research outputs found
A domain adaptation methodology for enhancing the classification of structural condition states in continuously monitored historical domes
Full text linkThe unavailability of labeled data has always been the main limitation of data-driven solutions for monitoring the health state of full-scale structures. In this area, domain adaptation (DA) solutions have occasionally been proposed in recent years, which allow the sharing of data sets between distinct but similar systems. This paper presents a novel computational methodology to evaluate the condition state of historical buildings subjected to continuous monitoring. The DA method, specifically transfer component analysis, is used to maintain correlations between two data domains with low relevance, thereby improving the accuracy of classification models. Additionally, it is shown that the kernelized Bayesian transfer learning can enhance classification accuracy beyond what is achievable with a support vector machine. The paper is completed with a real-world application to the classification of data sets from two Italian Baroque churches, both characterized by imposing oval masonry domes, but equipped with very different monitoring systems
Dynamic Identification of Large Thin Shell Structures in Concrete
Full text linkThe paper presents the results of a recent testing campaign carried out on the vaulted structures built by Pier
Luigi Nervi in Torino Esposizioni. Nervi’s halls are a spatial structure masterpiece, admired for their daring and innovative conception. The technological achievements of the 20th century have allowed conceiving unprecedented large
scale and complex structures. However, the experimental nature of numerous innovative structural and spatial configurations adopted by the designers of the time have revealed over time intrinsic fragilities that, when neglected, have
threatened their long-term structural integrity.
In addition, 20th century’s structures were usually conceived without accounting for seismic actions, but only for
static configurations, in accordance with the technical standards of the time. Therefore, it is of crucial importance to assess the dynamic behavior of these structures to understand their vulnerability and plan their correct preservation
measures.
Due to its complex configuration, the setup of dynamic testing campaign for Hall B built by Nervi presented many
challenges, including: i) the complex optimization problems due to the spatial characters of the vaulted structure; ii) the
possible effects of damage degradation or anomalies.
The aims of this investigation were to investigate the behavior of historical spatial structures to seismic actions; and
to detect the presence of possible structural anomalies
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
Multiple lesions of the conduction system in a case of cardiac rhabdomyosarcoma with complex arrhythmias. An anatomic and clinical study.
No full textAnatomic and electrocardiographic correlations in a case of primary cardiac rhabdomyosarcoma are examined. Interatrial and atrioventricular conduction disturbances were associated with multiple lesions involving the alleged internodal pathways, together with atrial-atrioventricular nodal connections. The clinicopathologic findings seem to be consistent with the hypotheses of the functional and morphologic value of Bachmann's fascicle, and of the inherent pathways of interatrial and internodal conduction in health and disease
Misclassification error rejection in structural models for spatial architectures
Full text linkVibration mode pairing via modal coupling and modal assurance criteria is a task encountered in different applications of Structural Health Monitoring. Above these, Sensitivity Analysis, and Model Updating need a correct estimation of the pairing between a reference set of vibration modes (that can be both numerical or experimental) and different sets of numerical vibration modes, generated by the variations of structural model parameters. The incorrect pairing, or coupling, results in error propagation during the sensitivity analysis or model updating, generating biased results. In this paper, the authors propose a reliable and efficient method to reduce the effects of mode pairing (i.e., mode coupling) errors in the calculation of the sensitivity of modal data to mechanical parameter variations, even under complex conditions such as complex numerical models of spatial structures, where the vibration modes are characterized by, for example, high-order mode shapes and high probability of confusing correlated mode shapes. The proposed method is based on the conjunction application of Hilbert-Huang Transform to remove outliers, and Gaussian Mixture Models to alleviate the elimination of meaningful information during the outliers rejection phase. In particular, knowing the actual sensitivity of the vibration modes not only allows to optimize the subsequent automatic model updating phase, but even before that, it allows to optimize the design of a permanent monitoring system, for example by predicting the direction and position of the sensors which maximize the extractable modal information considering that the mechanical parameters are continuously subjected to Environmental and Operational Variations, or again, would allow the optimization of extended experimental campaigns, suggesting additional number of mechanical tests for those structural components which most influence the modal behavior of the structure
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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