1,720,975 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Morphometrische Analyse mikro-skaliger Karstformen (Scallops) mittels Structure from Motion Verfahren
No full textScallops sind mikroskalige Lösungsformen, die in Höhlen vorkommen. Eine wichtige Eigenschaft von Scallops ist, dass deren morphometrischen Eigenschaften wie Größe bzw. Länge verwendet werden können um auf frühere Fließgeschwindigkeiten rückschließen zu können. Dafür wird jedoch eine gewisse Menge an statistisch aussagekräftigen Samples benötigt. In der Regel werden Scallops und deren morphometrische Eigenschaften in sehr zeitaufwändiger manueller Arbeit erhoben. Alternative photographische Aufnahmen können die Ergebnisse verfälschen da Verzerrungen aufgrund der Form der Wand entstehen können. Moderne Methoden, wie das Terrestrische Laserscanning (TLS), sind aufgrund des benötigten Equipments sehr unhandlich und haben die Schwierigkeit, dass gewisse Eigenschaften von Höhlen, wie etwa Nässe und Platzmangel, die Aufnahme erschweren. Es wird eine Methode präsentiert, die diese Schwierigkeiten anspricht, indem mithilfe der Structure from Motion (SfM) Methode großflächige hochaufgelöste Geländemodelle von Höhlenwänden abgeleitet werden. Als Testgebiete wurden dafür vier Höhlenwände in der Lurgrotte im Mittelsteirischen Karst in Österreich ausgewählt. Die generierten Modelle werden anschließend dazu verwendet, um drei verschiedene Methoden der automatischen Ableitung von Scallops zu evaluieren. Eine dieser Methoden stützt sich dabei auf das Prinzip der binären Klassifikation mittles Schwellenwert, während sich die anderen zwei Algorithmen auf die Klassifikation verschiedener morphometrischer Eigenschaften stützen (morphological classification und der geomorphons Ansatz). Letzterer erzielte die validesten Ergebnisse und wurde bei einer finalen Untersuchung noch näher betrachtet. Hierfür wurden die automatisch abgeleiteten Formen und die daraus resultierenden morphometrischen Analysen mit den manuell digitalisierten Scallops sowie deren Eigenschaften verglichen. Das Ergebnis zeigte eine hohe Übereinstimmung und somit eine Eignung der Methode bei der Kartierung von Scallops.Scallops are micro-scale dissolution karstic features which provide information on local paleo-flow conditions for the area where they are located, based on their size and orientation. A minimum number of samples is needed for valid calculations to be made. Up to now, dependency on manual measurements have been recognized to be tedious and time-consuming tasks. Alternatively, identifications with photographs are imperfect as cave walls are generally not straight surfaces, which results in distortions. Furthermore, the specific setting of caves place some practical restrictions on the utility of equipment as such that Terrestrial Laser Scanners (TLS), for example, are very cumbersome and delicate. The current study addresses these known challenges by generation of large-scale high-resolution digital elevation models (DEM) of scallop walls in caves using the photogrammetric Structure from Motion (SfM) method. The approach is demonstrated on four walls with distinguishable scallops located in the Lurgrotte in the Central Styrian Karst in Austria. The generated DEMs are used to assess the ability of three different methodological approaches for automatic scallop delineation. One method is based on a binary classification using a defined threshold, while the other two classification methods are based on morphometric characteristics of the walls surface (morphological classification and geomorphons approach). The latter resulted in the highest number of successfully delineated scallops for all of the walls that were evaluated. In a subsequent step, these forms were used to infer two morphological properties of scallops, namely size and orientation. The comparison of the automatically delineated scallops and the following morphometric analysis showed very good accordance with digitized scallops and their orientation, and hence the applicability of the proposed methods.submitted by: Ariane Droin, MSc. BSc.Abweichender Titel laut Übersetzung des Verfassers/der VerfasserinZusammenfassungen in Deutsch und EnglischMasterarbeit Karl-Franzens-Universität Graz 2021 3.03
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Semantic labelling of building types A comparison of two approaches using Random Forest and Deep Learning
No full textKnowledge about semantic building types is crucial for various applications, especially in the context of sustainable regional and urban planning. Official information containing semantic building type is scarce, most often only available for urban areas and inhomogeneous. Hence, the present thesis presents two methodological approaches to conduct semantic classification of building types based on different available data sources to generate homogeneous information on semantic building types for large-scale applications. Based on the assumption that footprint data of buildings containing height information is available, the first framework evaluates the performance of semantic building type classification using the machine learning classifier Random Forest. Semantic classification is conducted for residential buildings, differentiating four semantic classes using morphometric and topological features: Single-Family Homes - Detached Buildings, Semi-Detached Buildings, Terraced Buildings, and Multi-Family Homes - Apartment Buildings. Several set-ups were carried out using different sets of features and applying the algorithm on data with different geographical, and hence structural, context. Classification results showing high accuracies for almost every employed set-up are promising. However, if no building footprint data is available another approach for semantic building type classification is presented. Using Fully Convolutional Neural Networks, a Deep Learning architecture, semantic segmentation of aerial images, based only on the spectral characteristics, is conducted. Three semantic classes are differentiated: Auxiliary Buildings, Non-Residential Buildings and Residential Buildings. A first evaluation of this approach for semantic buildings type classification shows very promising results
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
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