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Suche nach „[Contribution]“ hat 1626 Publikationen gefunden
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    DigitalAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Wolfgang Dorner, Mariann Juha

    Museumsapps - Individualität versus Plattformstrategie

    Digital Humanities Austria 2018

    2020

    ISBN: 978-3-7001-8668-7

    DigitalAngewandte Wirtschaftswissenschaften

    Beitrag (Sammelband oder Tagungsband)

    Monica I. Ciolacu, Leon Binder, P. M. Svasta, D. Stoichescu, I. Tache

    Education 4.0 - Jump to Innovation IoT in Higher Education

    Proceedings of the 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging (SIITME) [Oct 23-26, 2019; Cluj-Napoca, Romania], New York, NY, USA

    2020

    DOI: 10.1109/SIITME47687.2019.8990825

    Abstract anzeigen

    Artificial Intelligence (AI) will play a key role in Higher Education. Our contribution leads the road to innovation within IoT for Education 4.0, using a system comprising smartwatch data, health data, learning analytics and Artificial Intelligence. By using embedded sensors from wearable devices, we can add value to Education 4.0. Smartwatches are IoT devices, equipped with a multitude of embedded sensors collecting distraction-free huge amounts of real-time data during students’ learning. In our paper we highlight advantages of wrist-based wearables like smartwatches for Education 4.0. We develop a User Experience Questionnaire for the measurement of acceptance of advanced electronic technology in Higher Education. We identify as experiment’s results the most important sensors and protocols for Education 4.0.

    DigitalAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Monica I. Ciolacu, Leon Binder, Heribert Popp

    Enabling IoT in Education 4.0 with Biosensors from Wearables and Artificial Intelligence

    Proceedings of the 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging (SIITME) [Oct 23-26, 2019; Cluj-Napoca, Romania], New York, NY, USA

    2020

    DOI: 10.1109/SIITME47687.2019.8990763

    Abstract anzeigen

    A major challenge for Education 4.0 is to make use of wearable devices for helping students in monitoring their learning behavior and their activities (steps, heart rate variability, and heart rate) in real-time. The first aim of this paper is to present our implementation of adaptivity and Artificial Intelligence (AI) methods within the Education 4.0 process. In this work, we investigate embedded biosensors (noninvasive, low-cost, and distraction-free) used in smartphones and smartwatches. The next objective is to enable IoT for Higher Education, i.e. a novel system assisted by AI that takes embedded biosensor data and environmental data into account in order to estimate students’ wellbeing and health. In this regard, we propose a framework that uses wearable devices to collect data with biofeedback methods to support students’ academic success.

    DigitalTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    T. Wimmer, Michael Scholz

    Online Product Descriptions - Boost for your Sales?

    14. Internationale Tagung Wirtschaftsinformatik, Siegen

    2019

    DigitalTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    A. Keller, Michael Scholz

    Trading on Cryptocurrency Markets: Analyzing the Behavior of Bitcoin Investors

    Proceedings of the 40th International Conference on Information Systems

    2019

    MobilAngewandte Wirtschaftswissenschaften

    Beitrag (Sammelband oder Tagungsband)

    Johannes Klühspies

    Ein Bahnhof ist das Zugangstor zur Mobilität

    Geschäftsbericht 2018 des Zweckverbands Kommunale Verkehrssicherheit Oberpfalz

    2019

    DigitalMaschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    Peter Landstorfer, Gabriel Herl, Jochen Hiller

    Investigation of Non-circular Scanning Trajectories in Robot-based Industrial X-ray Computed Tomography of Multi-material Objects

    16th International Conference on Informatics in Control, Automation and Robotics (ICINCO) [29-31 July, 2019; Prague, Czech Republic]

    2019

    DigitalMaschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    Peter Landstorfer, Jochen Hiller, Matthias Herbst

    Investigation of positioning accuracy of industrial robots for robotic-based X-ray computed tomography

    iCT 2019 9th Conference on Industrial Computed Tomography (iCT) [13-15 February, 2019; Padua, Italy]

    2019

    Abstract anzeigen

    In this research work we investigated the accuracy of a standard industrial robot. We wanted to find out, how accurate an X-RayComputed Tomography (CT) scan can be performed when using such a robot as a manipulator. The accuracy was measuredusing a laser-interferometer. The measured deviations were used to run an X-Ray simulation via Fraunhofer EZRT’s ScorpiusX-Lab. Metrological analysis was performed as a measure for the quality of the simulated CT-scan. The metrological deviationsreflect the feasible accuracy of a CT-scan in a real CT-setup.

    DigitalMaschinenbau und Mechatronik

    Beitrag (Sammelband oder Tagungsband)

    Gabriel Herl, Jochen Hiller, T. Sauer

    Artifact reduction in X-ray computed tomography by multipositional data fusion using local image quality measures

    iCT 2019 9th Conference on Industrial Computed Tomography (iCT) [13-15 February, 2019; Padua, Italy]

    2019

    Abstract anzeigen

    Metal artifacts are still a major problem in X-ray industrial computed tomography. In order to reduce metal artifacts and increase the image quality of X-ray CT-scans, we suggest using projection data from multiple scans with differently positioned object orientations. We present two different approaches for multipositional CT, which are especially effective for multimaterial objects with high absorbing metal parts. On one hand, we reconstruct the different scans separatly, estimate the local quality of the resulting volumes and then fuse these volumes to an optimized volume. On the other hand, we introduce smART (shrinking merged Algebraic Reconstruction Technique) and merge sinograms of different scans, estimate the reliability of each projection pixel and then reconstruct the merged sinogram with an adapted SART reconstruction method. We demonstrate our approaches on simulations and on measurement data and are able to show a significant reduction of image artifacts qualitatively and quantitatively with the help of dimensional measurement results.

    Angewandte Wirtschaftswissenschaften

    Beitrag (Sammelband oder Tagungsband)

    Josef Scherer

    (Compliance-) Risiko-Managementsystem 4.0 – Die digitale Transformation von Normen, Richtlinien und Standards

    FIRM Jahrbuch 2019

    2019

    DigitalAngewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    Katharina Heydn, Marc-Philipp Dietrich, Marcus Barkowsky, Götz Winterfeldt, S. Mammen, A. Nüchter

    The Golden Bullet: A Comparative Study for Target Acquisition, Pointing and Shooting

    Proceedings of the 2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) [4-6 Sept. 2019; Vienna, Austria]

    2019

    DOI: 10.1109/VS-Games.2019.8864589

    Abstract anzeigen

    In this study, we evaluate an interaction sequence performed by six modalities consisting of desktop-based (DB) and virtual reality (VR) environments using different input devices. For the given study, we implemented a vertical prototype of a first person shooter (FPS) game scenario, focusing on the genre-defining point-and-shoot mechanic. We introduce measures to evaluate the success of the according interaction sequence (times for target acquisition, pointing, shooting, overall net time, and number of shots) and conduct experiments to record and compare the users' performances. We show that interacting using head-tracking for landscape-rotation is performing similarly to the input of a screen-centered mouse and also yielded shortest times in target acquisition and pointing. Although using head-tracking for target acquisition and pointing was most efficient, subjects rated the modality using head-tracking for target acquisition and a 3DOF Controller for pointing best. Eye-tracking (ET) yields promising results, but calibration issues need to be resolved to enhance reliability and overall user experience.

    DigitalAngewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    L. Tiotsop, E. Masala, A. Aldahlooh, G. Wallendael, Marcus Barkowsky

    Computing Quality-of-Experience Ranges for Video Quality Estimation

    Proceedings of the 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX) [5-7 June 2019; Berlin]

    2019

    DOI: 10.1109/QoMEX.2019.8743303

    Abstract anzeigen

    Typically, the measurement of the Quality of Experience for video sequences aims at a single value, in most cases the Mean Opinion Score (MOS). Predicting this value using various algorithms has been widely studied. However, deviation from the MOS is often handled as an unpredictable error. The approach in this contribution estimates intervals of video quality instead of the single valued MOS. Well-known video quality estimators are fused together to output a lower and upper border for the expected video quality, on the basis of a model derived from a well-known subjectively annotated dataset. Results on different datasets provide insight on the suitability of the well-known estimators for this particular approach.

    GesundNachhaltigEuropan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    S. Markov, Georg Steckenbauer, Markus Pillmayer, Marcus Herntrei

    Austria: The forest as a touristic landscape

    International Handbook of Forest Therapy

    2019

    ISBN: 978-1-5275-3955-6

    GesundNachhaltigEuropan Campus Rottal-Inn

    Beitrag (Sammelband oder Tagungsband)

    Georg Steckenbauer, R. Weisböck-Erdheim, S. Tischler, C. Pichler, A. Hartl

    Nutzung und Inszenierung natürlicher Ressourcen im Gesundheitstourismus

    Experience Design im Tourismus – eine Branche im Wandel, Wiesbaden

    2019

    ISBN: 978-3-658-24512-2

    DigitalAngewandte InformatikTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    Sandra Gabert

    Digitales Dorf

    Untertitel, Deggendorf

    2019

    NachhaltigAngewandte Naturwissenschaften und WirtschaftsingenieurwesenTC Teisnach Sensorik

    Beitrag (Sammelband oder Tagungsband)

    Gerald Fütterer, Michael Wagner, Lucas Bauer, Simon Wittl

    4-Schiefspiegel-Teleskop: Justage und Stabilitätsaspekte

    Untertitel, Deggendorf

    2019

    NachhaltigAngewandte Naturwissenschaften und WirtschaftsingenieurwesenIPH Teisnach

    Beitrag (Sammelband oder Tagungsband)

    Gerald Fütterer, Michael Wagner, Lucas Bauer, Simon Wittl

    Four-Tilted-Mirror Telescope: Alignment and Stability Aspects

    Forschungsbericht 2018/2019 der Technischen Hochschule Deggendorf, Deggendorf

    2019

    NachhaltigAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Javier Valdés

    The role of policy on the Chilean sustainable energy transition in historical perspective

    Proceedings of Energy and Society in Transition: 2nd International Conference on Energy Research and Social Science (28 May, 2019; Arizona State University, Tempe, AZ, USA)

    2019

    DigitalNachhaltigAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Jane Wuth, Javier Valdés, Luis Ramirez Camargo, Wolfgang Dorner

    Energy Modelling in Rural Areas with Spatial and Temporal Data in Germany and Czech Republic

    Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM2019) [May 3-5, 2019; Heraklion, Crete, Greece], vol. Vol. 1

    2019

    Abstract anzeigen

    One of the major challenges for the energy transition is to reconcile variable renewable energy production with stochastically changing energy demand including the pursued changes in e.g. transport like electro mobility. This requires smart systems that should be designed to minimize balancing and transmission costs. The design and modelling of such systems requires high resolution energy generation and demand data, which usually either do not exist or is not available. Methodologies to address this lack of data populate scientific literature but its replicability is limited by an inadequate level of detail in the description of the methodologies and to a larger extent by the absence or low quality of basic data. This manuscript summarizes severalyears of research in energy modelling using Geographical Information Systems as well as spatial and temporal data of the rural areas in Bavaria (Germany) and the Czech Republic. Data requirements for energy demand and energy supply including different types of users and technologies are addressed. Irreconcilable data gaps are presented, examples to fill data gaps as well as recommendations for future necessary developments are provided

    NachhaltigAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    M. Roithner, Jane Wuth, Luis Ramirez Camargo

    Using spatiotemporal data to evaluate renewable electricity self-sufficiency of municipalities and states in Bavaria and the Czech Republic

    Geophysical Research Abstracts, vol. 21

    2019

    Abstract anzeigen

    Photovoltaics and wind power are the fastest growing and best established renewable energy technologies of today. Both are usually presented as the preferred option for energy systems to reach high shares of renewables but their integration is not an easy task due to their varying availability and its grid's feed-in. This work presents the likelihood of municipalities in Bavaria (Germany) and federal states in the Czech Republic to reach high penetration of photovoltaics and wind power until 2050 by taking into account demographic changes and alternative regulatory developments. To accomplish this, spatial development potential of wind power for three different sizes of turbines (10m, 50m and 137m) and free-standing photovoltaics are calculated for the whole study area using a mix of official and open data. Time series of electricity generation are constructed for every single potential area using physical models of the technologies. These models rely on solar radiation, temperature and wind speed time series from the COSMO-REA6 regional reanalysis as input data. Moreover, current total electricity demand per type of sector (residential, agricultural and industrial) is distributed in space using population and land use data from the LUISA territorial modelling platform of the European Commission. The population and land use forecast of the latter data set is utilized to estimate electricity demand per administrative unit for 2030 and 2050. The yearly values of electricity demand for each administrative unit are transformed into hourly electricity demand time series using German and Czech standard load profiles. Finally, an optimization model is employed to estimate if the local renewable potential per administrative unit together with storage systems are sufficient to cover the local demand under current and future conditions. Results are presented using maps covering the whole study area. These do not only show that massive storage systems would be required in order to supply electricity only based on photovoltaics and wind power, but also that the feasibility of achieving this could be considerably different between geographic and climatic areas with similar conditions.