1,720,965 research outputs found
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
Use of cognitive context-aware agents for the Social Internet of Things
No full textThe concept of an Internet of Things (IoT) is already mature, enough to start evolving towards an Internet of Everything (IoE), over which humans, objects and virtual items can be inter- connected. For this to be feasible though, there is the need for a framework which not only supports the interconnection between the entities of this Internet, but also allows the meaningful interaction between them. In particular, the smart IoE entities should be able to exchange data and information in order to fulfill their owners’ needs. A solution to this problem constitutes Social Internet of Things (SIoT), which is the convergence of Social Networks and Internet of Things, and enables the creation of social relations between the smart objects. This thesis introduces a distributed SIoT platform that consists of cognitive software agents, which represent the IoE entities. These software agents have as goal to fulfill human needs. As a result, they consist of multiple software components capable of: (a) extracting context information from raw data, and (b) managing cognitively the social relations based on their needs, which are produced by analyzing their goals. The aforementioned components are based, respectively, in the following state-of-the-art technologies: (a) a Deep Learning model for human activity recognition, and (b) a cognitive decentralized mechanism, which utilizes the Semantic Web technologies and the Publish-Subscribe pattern. Furthermore, in order to materialize the proposed SIoT solution, two software tools were developed. The first one is called Sem-SHUI and constitutes the user’s interface (e.g., the User Agent) with the SIoT ecosystem, since it is capable of sending direct orders or injecting semantic rules that will alter the behavior of the software agents. The second one is an agent-based SIoT simulator, called ASSIST, and displays the SIoT ecosystem, i.e., the existing SIoT Agents and all the formed relationships between them. Moreover, ASSIST enables the developers to change the semantic rules concerning the service discovery and the network navigability.Finally, to test the proposed Deep Learning architecture, we used two public available HAR datasets, showing that the proposed model outperforms other state-of-the-art Deep Learning human activity recognition methods. The presented SIoT solution was examined by taking into consideration three use cases, utilizing the developed SIoT tools.Η έννοια του Διαδικτύου των Πραγμάτων (Internet of Things; IoT) είναι ήδη ώριμη, ώστε να ξεκινήσει να εξελίσσεται προς το Διαδίκτυο των Πάντων (Internet of Everything; IoE), μέσω του οποίου μπορούν να διασυνδεθούν άνθρωποι, αντικείμενα, ακόμη και εικονικά αντικείμενα ή εφαρμογές. Όμως για να καταστεί αυτό εφικτό, υπάρχει η ανάγκη για ένα πλαίσιο λογισμικού που θα στηρίζει όχι μόνο τη διασύνδεση μεταξύ των οντοτήτων του Διαδικτύου, αλλά θα επιτρέπει και την ουσιαστική αλληλεπίδραση μεταξύ τους. Συγκεκριμένα, οι διάφορες οντότητες μπορούν να ανταλλάσσουν δεδομένα και πληροφορίες έχοντας ως στόχο να καλύψουν τις ανάγκες των χρηστών τους. Λύση σε αυτό το πρόβλημα αποτελεί το Κοινωνικό Διαδίκτυο των Πραγμάτων (Social Internet of Things; SIoT), το οποίο αποτελεί σύγκλιση των Κοινωνικών Δικτύων και του Διαδικτύου των Πραγμάτων, και επιτρέπει το σχηματισμό σχέσεων φιλίας μεταξύ των αντικειμένων. Στην παρούσα διδακτορική διατριβή παρουσιάζεται μία κατανεμημένη πλατφόρμα που αποτελείται από γνωσιακούς πράκτορες λογισμικού, οι οποίοι εκπροσωπούν τις οντότητες του ΙοΕ. Οι προτεινόμενοι πράκτορες λογισμικού έχουν ως στόχο την κάλυψη των ανθρώπινων αναγκών. Για αυτό το λόγο αποτελούνται από συστατικά στοιχεία λογισμικού ικανά να: (α) εξάγουν πληροφορίες πλαισίου από ακατέργαστα δεδομένα του ΙοΤ, και (β) να διαχειρίζονται γνωσιακά τις κοινωνικές τους σχέσεις με βάση τις ανάγκες τους, οι οποίες προκύπτουν από την ανάλυση των στόχων τους. Τα παραπάνω συστατικά στοιχεία λογισμικού βασίζονται αντιστοίχως σε: (α) ένα μοντέλο Βαθιάς Μάθησης (Deep Learning) για την αναγνώριση των ανθρώπινων δραστηριοτήτων, (β) έναν ευφυή κατανεμημένο μηχανισμό που κάνει χρήση των τεχνολογιών του Σημασιολογικού Ιστού και του προτύπου Δημοσίευσης-Συνδρομής (Publish-Subscribe pattern). Για την υλοποίηση της προτεινόμενης λύσης για το Κοινωνικό Διαδίκτυο των Πραγμάτων, αναπτύχθηκαν δύο εργαλεία λογισμικού. Το πρώτο ονομάζεται Sem-SHUI και αποτελεί τη διεπαφή του χρήστη (δηλ., τον Πράκτορα Χρήστη) με το οικοσύστημα του SIoT, καθώς μπορεί να στείλει εντολές και να εισάγει σημασιολογικούς κανόνες που θα καθορίσουν τη συμπεριφορά των γνωσιακών πρακτόρων λογισμικού. Το δεύτερο είναι ένας προσομοιωτής του προτεινόμενου SIoT περιβάλλοντος και ονομάζεται ASSIST. Στόχος του ASSIST είναι να απεικονίσει γραφικά τις κοινωνικές σχέσεις των οντοτήτων του SIoT και να δώσει τη δυνατότητα στους προγραμματιστές να πειραματιστούν, αλλάζοντας τους κανόνες των πρακτόρων λογισμικού σχετικά με την ανακάλυψη υπηρεσιών και την πλοήγηση δικτύου.Τέλος, για την αξιολόγηση της SIoT πλατφόρμας και των επιμέρους συστατικών της στοιχείων χρησιμοποιήθηκαν δεδομένα από αισθητήρες φορετών/κινητών συσκευών, καθώς επίσης και τρία σενάρια χρήσης, τα οποία υποστηρίζονται από τα αναπτυχθέντα εργαλεία λογισμικού
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
Χρήση γνωσιακών πρακτόρων με επίγνωση πλαισίου για τη δημιουργία Κοινωνικού Διαδικτύου των Πραγμάτων
Full text linkAppropriate 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
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