1,720,957 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
Contribution to the generation of 3D-colour maps of natural environments from data from a multi-sensor system for drone
No full textCes travaux de thèse sont des travaux préliminaires à la construction de cartes 3D-couleur. Ils visent à résoudre la problématique de fusion des données LiDAR et de l'imagerie optique acquises depuis un drone. Deux prérequis sont identifiés. Ceux-ci consistent, d'une part, à caractériser les erreurs de mesure des données hétérogènes issues des capteurs, et d'autre part, à aligner géométriquement ces-dernières.Dans un premier temps, nous proposons le développement d'un modèle de prédiction de l'incertitude de mesure LiDAR prenant en compte l'influence de l'empreinte laser. Une nouvelle méthode sans référence est introduite dans le but de valider ce modèle de prédiction. Une deuxième méthode utilisant un plan de référence valide l'adéquation de l'utilisation de la méthode sans référence.Dans un second temps, nous proposons une nouvelle méthode d'étalonnage du système multicapteur composé d'un LiDAR, d'une caméra, d'un système de navigation inertielle et d'un système de positionnement par satellites. La performance de cette méthode est évaluée sur des données synthétiques et réelles. Elle présente l'avantage d'être entièrement automatique, ne nécessite pas de mire d'étalonnage ou de point de contrôle au sol et peut opérer indifféremment en milieu naturel ou urbain. La flexibilité de cette méthode lui permet d'être mise en œuvre rapidement avant chaque acquisition.Finalement, nous proposons une méthode permettant de générer des cartes 3D-couleur sous forme de nuages de points colorisés. Nos expériences montrent que l'alignement géométrique des données permet d'améliorer fortement la qualité des cartes 3D-couleurs. Si on regarde plus attentivement ces cartes 3D-couleur, il persiste des erreurs de colorisation dues principalement à la non prise en compte des erreurs de mesure. L'exploitation du modèle de prédiction de l'incertitude de mesure LiDAR proposé pour la construction des cartes 3D-couleur serait donc la suite logique de ces travaux.These thesis works are preliminary works to the construction of 3D-colour maps. They aim to solve the problem of combining LiDAR data and optical imagery acquired from a drone. Two prerequisites are identified. These consist, on the one hand, in characterizing the measurement errors of heterogeneous data from the sensors and, on the other hand, in geometrically aligning the latter.First, we propose the development of a LiDAR measurement uncertainty prediction model that takes into account the influence of the laser footprint. A new method without reference is introduced to validate this prediction model. A second method using a reference plane validates the adequacy of the use of the method without reference.In a second step, we propose a new method for calibrating the multi-sensor system consisting of a LiDAR, a camera, an inertial navigation system and a global satellite navigation system. The performance of this method is evaluated on synthetic and real data. It has the advantage of being fully automatic, does not require a calibration object or ground control point and can operate in either natural or urban environments. The flexibility of this method allows it to be implemented quickly before each acquisition.Finally, we propose a method to generate 3D-color maps in the form of colored point clouds. Our experiments show that geometric data alignment significantly improves the quality of 3D-color maps. If we look more closely at these 3D-colour maps, there are still colorization errors due mainly to the failure to take into account measurement errors. The use of the proposed LiDAR measurement uncertainty prediction model in the construction of 3D-color maps would therefore be the logical continuation of this work
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
Contribution à la génération de cartes 3D-couleur de milieux naturels à partir de données d'un système multicapteur pour drone
No full textThese thesis works are preliminary works to the construction of 3D-colour maps. They aim to solve the problem of combining LiDAR data and optical imagery acquired from a drone. Two prerequisites are identified. These consist, on the one hand, in characterizing the measurement errors of heterogeneous data from the sensors and, on the other hand, in geometrically aligning the latter.First, we propose the development of a LiDAR measurement uncertainty prediction model that takes into account the influence of the laser footprint. A new method without reference is introduced to validate this prediction model. A second method using a reference plane validates the adequacy of the use of the method without reference.In a second step, we propose a new method for calibrating the multi-sensor system consisting of a LiDAR, a camera, an inertial navigation system and a global satellite navigation system. The performance of this method is evaluated on synthetic and real data. It has the advantage of being fully automatic, does not require a calibration object or ground control point and can operate in either natural or urban environments. The flexibility of this method allows it to be implemented quickly before each acquisition.Finally, we propose a method to generate 3D-color maps in the form of colored point clouds. Our experiments show that geometric data alignment significantly improves the quality of 3D-color maps. If we look more closely at these 3D-colour maps, there are still colorization errors due mainly to the failure to take into account measurement errors. The use of the proposed LiDAR measurement uncertainty prediction model in the construction of 3D-color maps would therefore be the logical continuation of this work.Ces travaux de thèse sont des travaux préliminaires à la construction de cartes 3D-couleur. Ils visent à résoudre la problématique de fusion des données LiDAR et de l'imagerie optique acquises depuis un drone. Deux prérequis sont identifiés. Ceux-ci consistent, d'une part, à caractériser les erreurs de mesure des données hétérogènes issues des capteurs, et d'autre part, à aligner géométriquement ces-dernières.Dans un premier temps, nous proposons le développement d'un modèle de prédiction de l'incertitude de mesure LiDAR prenant en compte l'influence de l'empreinte laser. Une nouvelle méthode sans référence est introduite dans le but de valider ce modèle de prédiction. Une deuxième méthode utilisant un plan de référence valide l'adéquation de l'utilisation de la méthode sans référence.Dans un second temps, nous proposons une nouvelle méthode d'étalonnage du système multicapteur composé d'un LiDAR, d'une caméra, d'un système de navigation inertielle et d'un système de positionnement par satellites. La performance de cette méthode est évaluée sur des données synthétiques et réelles. Elle présente l'avantage d'être entièrement automatique, ne nécessite pas de mire d'étalonnage ou de point de contrôle au sol et peut opérer indifféremment en milieu naturel ou urbain. La flexibilité de cette méthode lui permet d'être mise en œuvre rapidement avant chaque acquisition.Finalement, nous proposons une méthode permettant de générer des cartes 3D-couleur sous forme de nuages de points colorisés. Nos expériences montrent que l'alignement géométrique des données permet d'améliorer fortement la qualité des cartes 3D-couleurs. Si on regarde plus attentivement ces cartes 3D-couleur, il persiste des erreurs de colorisation dues principalement à la non prise en compte des erreurs de mesure. L'exploitation du modèle de prédiction de l'incertitude de mesure LiDAR proposé pour la construction des cartes 3D-couleur serait donc la suite logique de ces travaux
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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