1,720,970 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
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
Optimization of algorithms for finding temporal patterens in environment model components for autonomous robots
No full textObsahem této bakalářské práce je komparativní analýza algoritmů používaných v mobilní autonomní robotice pro dynamické mapování a návrh možných postupů pro zlepšení jejich výkonnosti. Popisuje výběr vhodného datasetu a navržení scénářů s cílem nalezení oblastí, ve kterých zkoumané algoritmy dosahují neuspokojivých výsledků, provedení odpovídajících experimentů a analýzu jejich chování v těchto oblastech. Následně jsou v ní představeny postupy při návrhu zacílení těchto nedostatků a ty jsou experimentálně ověřeny v kontextu s předem učiněnými experimenty.This bachelor's thesis contains a comparative analysis of algorithms used in the field of mobile autonomous robotics for dynamical mapping and proposal of possible approaches to improve their performance. It describes the selection of an appropriate dataset and the design of scenarios with the goal of identifying areas where the investigated algorithms perform unsatisfactory results, the execution of corresponding experiments and the analysis of their behaviour in these areas. Furthermore, it presents the design of tried procedures for targeting these deficiencies, and these are experimentally verified in the context of prior experiments
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
Car Detection Methods from 2D LIDAR Data Collected with a Mobile Robot
Get PDFTato práce se zabývá různými přístupy k detekci automobilů parkovacím robotem v reálném světě. Za tímto účelem byly implementovány tři metody strojového učení založené na segmentaci množin bodů (PointNet), segmentaci obrázků (U-Net) a klasifikaci vektorů atributů (SVM) a jedna geometrická metoda pro lokalizaci kol. Porovnání metod je uskutečněno na anotovaném datasetu 2-dimenzionálních měření ze tří LIDAR senzorů instalovaných na mobilním parkovacím robotu. Použití souboru dat nasbíraného při provozu v reálných podmínkách zaručuje kvalitativní vyhodnocení metod s ohledem na robustnost. Experimenty ukázaly velký potenciál sítě U-Net a algoritmu SVM pro úlohu detekce aut. Navržený systém pro evaluaci v reálném čase se skládá z příjmu dat z LIDAR senzorů, klasifikace jednotlivých bodů metodami strojového učení a lokalizace kol detekovaných automobilů.This thesis focuses on the research of various approaches to real-world car detection by a parking robot. For this purpose, three machine learning methods based on the point cloud segmentation (the PointNet), image segmentation (the U-Net), and feature vector classification (the SVM) were implemented, and one geometrical-based method for wheel localization. Methods comparison is held on an annotated dataset of 2D measurements from three LIDAR sensors installed on a mobile parking robot. The use of the dataset collected during operating in real-world scenarios ensures the authoritative evaluation of methods with respect to robustness. Experiments indicated a great potential of the U-Net network and the SVM for the car detection task. The proposed system for real-time evaluation consists of subscription to LIDAR sensors, point-wise classification with machine learning methods, and wheel localization of detected cars
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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