1,720,968 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
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
Depth data analysis for fall detection
Get PDFStürze sind ein Hauptgrund für unfallbedingte Todesfälle in der Gruppe der Personen über 64. Im Falle eines Sturzes ist sofortige Hilfe notwendig, um die Morbiditäts- und Sterblichkeitsrate zu minimieren. Statistiken zeigen jedoch, dass jedes zweite Sturzopfer nicht in der Lage ist, ohne Hilfe wieder aufzustehen. Das Ziel der Sturzerkennung ist es, schnelle Hilfe zu garantieren, indem diese im Falle eines Sturzes automatisch angefordert wird. Sturzerkennung ist ein aktives Forschungsfeld; Limitationen aktueller Methoden schränken die Anwendbarkeit in der Praxis jedoch noch ein. In dieser Diplomarbeit wird ein neues System zur Sturzerkennung vorgestellt, das ,versucht, diese Einschränkungen zu lösen. Dazu wird auf aktuelle Sensortechnologie zurückgegriffen, die Tiefendaten liefert. Diese hat mehrere Vorteile gegenüber Alternativen, insbesondere ist sie unauffällig, bewahrt die Privatsphäre und funktioniert unabhängig von Lichtverhältnissen, wodurch eine kontinuierliche Überwachung ermöglicht wird. Tiefendaten sind aussagekräftig und erlauben dadurch eine zuverlässige Sturzerkennung. Dieser Sachverhalt wird mittels einer quantitativen Analyse verifiziert, im Zuge derer auch die Einschränkungen der Technologie sowie die Qualität der generierten Daten bewertet wird. Das vorgestellte Sturzerkennungssystem legt einen Fokus auf effektive Algorithmen zur Erkennung und Verfolgung von Personen, da die dadurch ermöglichte temporäre Analyse die Leistungsfähigkeit der Sturzerkennung steigert. Zu diesem Zweck wurde ein neuer Algorithmus zur Bewegungserkennung in Tiefendaten entwickelt, der insbesondere hinsichtlich Sturzerkennung leistungsfähiger als aktuelle Algorithmen ist. Weiters stellt diese Diplomarbeit einen effizienten Ansatz zur Erkennung und Verfolgung mehrerer Personen in Tiefendaten vor. Das entwickelte Sturzerkennungssystem ist einfach zu installieren, muss nicht konfiguriert werden, und ist auf kostengünstiger Hardware lauffähig, was die Akzeptanz in der Praxis fördert. Diese Diplomarbeit zeigt, dass Tiefendaten eine zuverlässige Sturzerkennung ermöglichen. Dies wird mittels einer umfangreichen Sturzdatenbank überprüft. Zum Zeitpunkt des Verfassens dieses Berichtes wird das vorgestellte System in vier Staaten in der Praxis evaluiert, vorläufige Resultate sind vielversprechend.Falls are a leading cause for accidental deaths among persons aged 65 or older. Fall victims require immediate assistance in order to minimize morbidity and mortality rates. However, statistically every other fall victim is unable to get back up without help. The aim of fall detection is to ensure fast assistance by automatically informing caretakers in case of falls. Different methods have been proposed for this purpose, but there are still unresolved issues that limit the applicability of fall detection systems in practice. This thesis introduces a new fall detection system using current depth-sensing technology, with the aim of addressing these limitations. This sensor technology has several advantages over alternatives; it is unobtrusive, preserves the privacy of subjects, and works independently of lighting conditions, allowing for continuous monitoring. The generated data enables powerful scene analysis and, consequently, reliable fall detection. The applicability of this technology is verified by means of a quantitative analysis, in order to assess its limitations and data quality. In contrast to existing methods, the proposed system emphasizes person detection and tracking, which allows for robust temporal analysis and thus improved fall detection performance. To this end, this work also proposes a new motion detection algorithm optimized for depth data and fall detection. It is shown that this algorithm performs better than the state of the art on this type of data. Furthermore, this work contributes to the research field of tracking by introducing effective means for tracking multiple persons. The proposed system is easy to set up, plug and play, and can run on inexpensive low-end hardware, promoting broad acceptance. This work shows that reliable fall detection in depth data is possible, as verified on a comprehensive fall database. At the time of writing, the system is tested under practical conditions in four countries, with promising first 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
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