1,721,140 research outputs found
Evaluation of road pavement conditions by Deep Neural Networks (DNN): an experimental application
No full textMonitoring the actual conditions of transport infrastructures is a priority for asset owners and administrators to ensure structural stability, operational safety and to prevent damages and deterioration. Currently, most protocols for assessing roads pavement conditions are based on visual on-site inspection conducted by specialized operators and, rarely, the local application of ground-based technologies and sensors such as terrestrial laser scanners (TLSs). However, the high costs of maintenance operations and on-site surveys still limit the application of these advanced procedures at the network level. Accordingly, the definition of innovative methodologies and procedures for continuous monitoring operations, especially for road pavements monitoring purposes, is still an open challenge.
This research aims at investigating the viability of an automatic methodology for the detection and classification of pavement distresses based on Machine Learning (ML) models. More specifically, the methodology is based on the latest generation of Deep Neural Networks (DNN) algorithms, among which “YOLO v5”, and “Faster R-CNN”. To this purpose, an experimental evaluation is conducted by the acquisition and the processing of a publicly open-source dataset made available within the context of the “IEEE Global Road Damage Detection Challenge” (GRDDC2020). The implementation of the presented approach provides a technologically enhanced and reliable methodology for the provision of the identification and localization of roads damages to be more rapidly processed and conclusively actioned by asset owners and management agencies giving crucial information that could be implemented for the prioritisation of maintenance activities within Pavements Management Systems (PMSs).
The outcomes of this study demonstrate that ML approaches and DNN algorithms, can be applied to complement Non-Destructive Remote Sensing technologies (e.g., ground-penetrating radars, Laser Scanners, satellite radar interferometry), localizing automatically the pavement damages, thereby paving the way for integrated approaches in the smart monitoring of infrastructure assets
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
