1,721,030 research outputs found

    An efficient framework for distributed computing in heterogeneous beowulf clusters and cluster-management

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    In the context of existing approaches to cluster computing we present a newly developed modular framework `SimpleHydra' for rapid deployment and management of Beowulf clusters. Instead of focusing only the pure computation tasks on homogeneous clusters (i.e. clusters with identically set up nodes), this framework aims to ease the configuration of heterogeneous clusters and to provide a low-level / high-level object-oriented API for low-latency distributed computing. Our framework does not make any restrictions regarding the hardware and minimizes the use of external libraries to the case of special modules. In addition to that our framework enables the user to develop highly dynamic cluster topologies. We describe the framework's general structure as well as time critical elements, give application examples in the `Big-Data' context during a research project and briefly discuss additional features. Furthermore we give a thorough theoretical time/space complexity analysis of our implemented methods and general approaches

    Driver Stress Response to Self-driving Vehicles and Takeover Request – An Expert Assessment

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    A self-driving car that operates on the SAE automation level 3 or 4 can navigate through different traffic conditions without human input. If such a system is on its operating limits, it will emit a takeover request before shutting down. This request will likely generate a physical response of the driver. Our goal is to shed light on the stress perception of drivers in various scenarios. To this end, we have carried out a feasibility study for preparation. Two subjects drove an autonomous vehicle and during the ride ECG signals were recorded, and afterwards evaluated. Unfortunately, the stress reaction to takeover requests could not be investigated, due to the poor function of the autonomous driving mode from the vehicle, however the reaction to autopilot misconduct without warning to the driver could be investigated instead

    Fusion of texture and contour based methods for object recognition

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    We propose a new approach to object detection based on data fusion of texture and edge information. A self organizing Kohonen map is used as the coupling element of the different representations. Therefore, an extension of the proposed architecture incorporating other features, even features not derived from vision modules, is straight forward. It simplifies to a redefinition of the local feature vectors and a retraining of the network structure. The resulting hypotheses of object locations generated by the detection process are finally inspected by a neural network classifier based on co-occurence matrices

    Fusion textur- und konturbasierter Methoden zur Segmentierung

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    In der vorliegenden Arbeit wird ein Verfahren vorgestellt, welches textur- und konturbasierte Verfahren zur Segmentierung fusioniert. Als Kopplungsmatrix wird eine selbstorganisierte Karte nach Kohonen verwendet. Eine verbesserte Objekt- zu Hintergrundtrennung im Vergleich zu Einzelalgorithmen wird demonstriert

    Bewegungssteuerung autonomer Fahrzeuge mit neuronalen Feldern

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    Fahrerassistenzsysteme werden eingesetzt, um dem Fahrer eines Kraftfahrzeugs Handlungsabläufe abzunehmen. Diese Handlungsabläufe werden definiert durch eine Aufgabenstellung, die vom Fahrer an das Fahrerassi- stenzsystem übergeben oder systembedingt gelöst wird. Bei komplexen Fahreras- sistenzsystemen ist an eine autonome Navigation im Straßenverkehr gedacht. Es wird ein neues Verfahren vorgestellt, welches eine Bewegungssteuerung eines autonomen Fahrzeugs durchführen kann. Es werden der Lenkwinkel und die Ge- schwindigkeit beeinflußt. Für diese Aufgabe wird ein dynamischer Ansatz aus dem Bereich der neuronalen Felder gewählt. Relevante Attribute für den Fahrt- verlauf auf unterschiedlichem Abstraktionsniveau können dabei einfach (additiv) verarbeitet werden

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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
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