13 Zentrale Universitätseinrichtungen

Permanent URI for this collectionhttps://elib.uni-stuttgart.de/handle/11682/14

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    Visualizing Optimization Trajectories
    (2019) Hägele, David
    Nonlinear constraint optimization has many applications in technical, scientific as well as economic fields. Understanding solver behavior can help to improve solvers, choose appropriate hyperparameters, and formulate better performing nonlinear programs. This thesis proposes a visual analytics tool for analyzing constraint optimization problems. The optimization process is depicted by a set of two-dimensional trajectories, representing the trace of intermediate solutions during the optimization process. This allows us to obtain an overview of the evolution of the optimization process. To support detailed analysis, supplemental views are added to show the constraints violations and areas of feasible solution. Furthermore, different interaction techniques are implemented to facilitate the exploration process. To showcase the usefulness of the approach, findings from an exemplary analysis based on optimization logs of robot motion planning are presented.
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    Requirements for finding research data and software
    (2019) Hermann, Sibylle; Iglezakis, Dorothea; Seeland, Anett
    Research results in simulation engineering are primarily based on software - from small scripts written by a single researcher to big software projects developed at the researchers institute or by an international community. Usually the research results are published in a publication, whereas the underlying software and data resulting from the software is not available. Consequently, the results which are discussed in an article can be difficult to reproduce. Initiatives like the FAIR data principles try to give an idea how research data can be stored in order to reuse research results. This article describes how the FAIR data principles may be applied for research software in simulation engineering and give an idea how infrastructure services can help researchers handling their research software.
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    Visual Parameter Space Analysis for Classification Models
    (2019) Heyen, Frank
    We present a batch training and visualization system that enables users to visually compare different classifiers and parameter configurations in their performance and behavior. Our approach is plugin-based and classifier-agnostic and allows users to add their own datasets and classifier implementations. It provides multiple visualizations, including a multivariate ranking, a similarity map, a scatterplot that shows correlations between parameters and scores, as well as a training history chart. We enable users to interactively filter, highlight, colorize, sort, and group the displayed data. Using an iterative process, we developed our approach over the course of six months in cooperation with domain experts who apply machine learning for natural language processing. Our evaluation consists of two pair analytics studies and a survey with students. It demonstrates the effectiveness and usability of the implementation and shows desire to use it from domain experts, teachers and students.
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    Promotionsordnung der Universität Stuttgart vom 01. März 2019
    (2019)
    Auf Grund von § 38 Abs. 4 des Landeshochschulgesetzes vom 1. Januar 2005 (GBl. S. 1), zuletzt geändert durch Gesetz vom 13. März 2018 (GBl. S. 85) hat der Senat der Universität Stuttgart am 13. Februar 2019 die nachstehende Neufassung der Promotionsordnung beschlossen. Der Rektor hat seine Zustimmung gemäß § 38 Abs. 4 des Landeshochschulgesetzes am 01. März 2019, Az.: 7841.170, erteilt.
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    Kulturdenkmal Universitätsbibliothek Stuttgart : Funktional. Flexibel. Transparent.
    (Stuttgart : Universitätsbibliothek Stuttgart, 2019) Rambach, Christiane; Wiatrowski, Frank
    60 Jahre nach Grundsteinlegung wurde 2018 die Universitätsbibliothek Stuttgart auf dem Campus Stadtmitte unter Denkmalschutz gestellt. Geplant und gebaut von 1958 bis 1961 steht sie beispielhaft für die Architektur der deutschen Nachkriegsmoderne. US-amerikanische Vorbilder und Bibliotheksbauten der schweizerischen Moderne prägten Gestaltung und Planung des Architekten Hans Volkart (1895-1965).
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    Interaction concepts for collaborative reviewing and editing of large-scale 3D-models in AR/VR applications
    (2019) Wruszczak, André
    Even though a large number of Augmented reality (AR)/Virtual reality (VR) applications already exist in the entertainment industry, their usefulness still need to be further examined outside of gaming and movies. Due to the current limitations of AR hardware, modern concepts for user interfaces and user experiences have to be evaluated and designed in order for them to become a sufficient base for developing precise, efficient and enjoyable tools. Especially the difficulty of properly visualizing large-scale 3D-models on the current screens of AR devices, demand a new set of methods on how to look at and navigate around them. As opposed to AR, is VR an isolating experience, requiring the conception of new collaborative approaches to allow working productively in a team. For this purpose the note and management tool is recommend in order to provide methods for sequential and parallel collaboration in AR/VR applications.
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    Evaluation of 2D combination of eye-tracking metrics for task distinction
    (2019) Metin, Caglar Mehmet
    Eye-tracking techniques enable researchers to observe human behaviors by using eye tracking metrics. Machine learning is one of the techniques used in task inference. However, in our research in order to decrease the effort to analyze the task inference, we consider two combinations of different metrics on a two-dimensional scatter plot. Also, we analyze the data with K-Means clustering and correlation analysis to determine the task inference. Two-dimensional scatter plot let the analyst interact with the data in a better manner. In this thesis, we reduced the metrics dimensions, for example, calculating the mean value of the fixation durations that gave us a single value. We examined a few metrics such as crossings of saccades, first fixation duration after the onset of a stimulus, fixation duration mean, and fixation duration median. Furthermore, we created some custom metrics specifically for this research to analyze the tasks for the participants better. Next, we developed a simple game. In the game, there were three game modes for building distinctive gaze behavior. Those game modes include changes in the color tint information, size changes of the stimulus, and as a control mode, a text-only representation which does not contain any color or size differences. Finally, we made a study with six participants. They played our game to give us a dataset which we can work in the analysis with K-means clustering. Nevertheless, the results were promising and helpful in distinguishing human behavior on different tasks. However, this research is not enough for task inference, and there are further improvements which could achieve a better result than the current state.
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