1,721,013 research outputs found
Monokulare visuelle Odometrie auf einem autonomen Miniaturschiff
Diese Arbeit befasst sich mit einem monokularen visuellen Odomometrie-Verfahren für autonome Schiffe. In dieser Arbeit ist der Kontext ein autonomes Miniaturschiff. Das Verfahren nimmt eine Inertial-Measurement-Unit (IMU) zu Hilfe. In der Arbeit wird das verwendete Verfahren erklärt. Um das Verfahren zu testen, wird ein Softwareentwurf vorgestellt, der das Verfahren auf dem Miniaturschiff implementiert. Bei ersten Tests
hat sich heraus gestellt, dass das verwendete Verfahren teilweise noch sehr experimentell ist. Daher wurden in dieser Arbeit Anpassungen und Erweiterungen, teilweise unter Zuhilfenahme des Autors des Verfahrens, gemacht. Das Verfahren konnte unter diesen Anpassungen auf die Qualität der ermittelten Positionen und der dafür benötigte Rechenzeit getestet werden. Die Rechenleistung auf dem Miniaturschiff ist ausreichend. Die Bestimmung der Bewegungsrichtung funktioniert mit einer Genauigkeit von bis zu 10°. Die Bestimmung der Bewegungslänge funktioniert hingegen nicht. Diese Arbeit versucht die Gründe dafür zu analysieren. Im Ausblick wird eine Verbesserung vorgeschlagen.This thesis concerns a monocular visual odomometry method for autonomous ships. In this work the context is an autonomous miniature ship. The method uses an Inertial-Measurement-Unit (IMU). The used method is explained. To test the method a software design is presented which implements the method on the miniature ship. During first tests it turned out that the used method is partly still very experimental. Therefore, in this thesis adjustments and extensions were made, partly with the help of the author of the method. The procedure could be tested under these modifications regarding the quality of the determined positions and the required computing time. The computing power on the miniature ship is sufficient. The determination of the direction of movement works with an accuracy of up to 10°. The determination of the length of movement, however, does not work. This work tries to analyse the reasons for this. In the outlook
an improvement is proposed
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
Klassifikation auf Basis von EEG-Daten, automatisiert durch maschinelles Lernen
Die Eignung von Machine Learning Verfahren im Bereich der Medizin ist bereits bewiesen. Inwiefern sich ein einzelnesVerfahren für die Problemlösung des jeweiligen Anwendungsbereiches eignet, ist meist von dem zu lösenden Problem abhängig und nicht zuletzt auch von dem Charakteristikum des gewählten Verfahrens. Im Bereich der Elektroenzephalographie ist diese Eignung bereits durch viele Verfahren gezeigt worden. Die involvierten Machine Learning Verfahren gilt es in einer hinreichenden Analyse und anhand eines Beispiels
gegenüberzustellen und ihre Vor- und Nachteile näher zu beleuchten.The suitability of machine learning procedures in the field of medicine has already been proven. The extent to which a single method is suitable for solving the problem of the respective application area usually depends on the problem to be solved and, last but not least, on the characteristic of the chosen method. In the field of electroencephalography, this suitability has already been demonstrated by many procedures. The machine learning procedures involved must be compared in a sufficient analysis and on the basis of an
example and their advantages and disadvantages must be examined in more detail
Surface reconstruction for mapping applications from LiDAR point clouds
The demand for high-definition (HD) maps has risen significantly, extending into diverse applications. This work presents an algorithmic approach to geometry generation for HD Maps by leveraging mobile LiDAR point cloud data. The algorithm integrates surface reconstruction, HDBSCAN-based clustering, spline fitting, and outline detection. Through rigorous evaluation against ground truth data, the algorithm’s accuracy and efficiency are assessed on a purpose-built datasets with ground truth.Die Nachfrage nach hochauflösenden (HD) Karten ist erheblich gestiegen und erstreckt sich auf verschiedene Anwendungen. Diese Arbeit stellt einen algorithmischen Ansatz zur Erzeugung von Geometrie für HD-Karten vor, welcher mobile LiDAR-Punktwolkendaten als Basis nutzt. Der Algorithmus integriert Oberflächenrekonstruktion, HDBSCANbasiertes Clustering, Spline-Fitting und Umrisserkennung. Die Genauigkeit und Effizienz des Algorithmus werden anhand von eigens erstellten Datensatzes mit Ground Truth bewertet
Entwicklung und Simulation einer quadrupeden Roboterplattform zur Untersuchung von Gangarten
Diese Arbeit widmet sich der Weiterentwicklung und Simulation einer quadrupeden Roboterplattform. Hierbei werden von der Ansteuerung der Hardware und Simulation über die Kinematik bis hin zur Entwicklung einfacher Gangarten viele Aspekte der Robotik behandelt. Mehrere Reihen von Experimenten bewerten die Genauigkeit von Bewegungen des Roboters und der Simulation. In der Simulation wird nachgewiesen, dass der
Roboter in der Lage ist, einfache Gangarten zu nutzen. Zudem wird anhand der Gangarten Schritt und Trott gezeigt, dass eine Bewertung der Qualität von Gangarten anhand von drei beispielhaften Metriken möglich ist.This thesis is dedicated to the development and simulation of a quadruped robot platform. It covers many aspects of robotics, from hardware control and simulation, to kinematics and the development of simple gaits. Several series of experiments show the accuracy of the robot and the simulation. Using the simulation, it is shown that the robot is able to use simple gaits like walk and trot. An evaluation of the quality of gaits based on three exemplary metrics is also shown
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