Publikationen


6358 Publikationen gefunden
    GesundAngewandte Gesundheitswissenschaften

    Zeitschriftenartikel

    N. Schmidkonz, Doris Eberhardt

    Mit Leadership zur personenzentrierten Vermittlung von Gesundheitsinformationen

    Ein Praxisentwicklungsprojekt zur Förderung selbständiger Bewegung nach Kniegelenksimplantation

    PADUA - Die Fachzeitschrift für Pflegepädagogik, Patientenedukation und -bildung, vol. 15, no. 1, pp. 31-37

    2020

    GesundAngewandte Gesundheitswissenschaften

    Zeitschriftenartikel

    C. Kölblin, Doris Eberhardt

    Bedürfnisgerechte Information von Angehörigen kritisch Kranker

    Eine Analyse des Informationsangebots auf Webseiten bayrischer Intensivstationen

    PADUA - Die Fachzeitschrift für Pflegepädagogik, Patientenedukation und -bildung, vol. 15, no. 1, pp. 15-22

    2020

    DigitalMaschinenbau und Mechatronik

    Zeitschriftenartikel

    F. Heilmeier, R. Koos, Peter Hornberger, Jochen Hiller, et al.

    Calibration of cast-in Fibre-Bragg-Gratings for internal strain measurements in cast aluminium by using neutron diffraction

    [Submitted for publication]

    Measurement

    2020

    MobilNachhaltigEuropan Campus Rottal-Inn

    Sonstiges

    Georg Steckenbauer

    Tourism Naturally Conference (TNC) 2020

    Session Chair/Member of the Scientific Committee. Colorado State University; University of Derby; Technische Hochschule Deggendorf; University of Sunderland; Central China Normal University; Università di Pisa

    2020

    NachhaltigElektrotechnik und MedientechnikIQMA

    Zeitschriftenartikel

    Christoph Metzke, Werner Frammelsberger, Jonas Weber, F. Kühnel, K. Zhu, M. Lanza, Günther Benstetter

    On the Limits of Scanning Thermal Microscopy of Ultrathin Films

    Materials, vol. 13, no. 3

    2020

    DOI: 10.3390/ma13030518

    Abstract anzeigen

    Heat transfer processes in micro- and nanoscale devices have become more and more important during the last decades. Scanning thermal microscopy (SThM) is an atomic force microscopy (AFM) based method for analyzing local thermal conductivities of layers with thicknesses in the range of several nm to µm. In this work, we investigate ultrathin films of hexagonal boron nitride (h-BN), copper iodide in zincblende structure (γ-CuI) and some test sample structures fabricated of silicon (Si) and silicon dioxide (SiO2) using SThM. Specifically, we analyze and discuss the influence of the sample topography, the touching angle between probe tip and sample, and the probe tip temperature on the acquired results. In essence, our findings indicate that SThM measurements include artefacts that are not associated with the thermal properties of the film under investigation. We discuss possible ways of influence, as well as the magnitudes involved. Furthermore, we suggest necessary measuring conditions that make qualitative SThM measurements of ultrathin films of h-BN with thicknesses at or below 23 nm possible.

    NachhaltigElektrotechnik und MedientechnikIQMA

    Zeitschriftenartikel

    W. Ni, L. Liu, Y. Zhang, C. Niu, H. Fan, G. Song, D. Liu, Günther Benstetter, G. Lei

    Effect of intermittent He/D ion irradiations on W nano-fuzz growth over W targets

    Vacuum, vol. 173, no. March

    2020

    DOI: 10.1016/j.vacuum.2019.109146

    Abstract anzeigen

    The intermittent He/D ion irradiations of polycrystalline W have been performed at the ion energy of 50 eV by changing the time of the single irradiations and the irradiation temperature. All irradiated W specimens have been observed by scanning electron microscopy, and the effect of intermittent He/D ion irradiations on the W fuzz growth has been analyzed. The W fuzz growth over W targets does not show the clear dependence on the intermittent He/D ion irradiations, where the He/D ion fluence of the single irradiations typically varies from 5.0 × 1024 to 2.5 × 1025/m2. However, a slight change in the W surface temperature during the single He ion irradiations significantly affects the W fuzz growth rate. Analysis indicates that W fuzz growth is significantly affected by the total He ion fluence varying from 5.0 × 1024 to 5.0 × 1025/m2 and the irradiation temperature varying from 1100 to 1450 K. This current study will play a crucial role in understanding the W fuzz growth under the periodic He/D ion irradiations of W divertor in fusion reactors, such as ELMs.

    DigitalAngewandte InformatikTC Grafenau

    Zeitschriftenartikel

    Ali Fallah Tehrani, M. Strickert, Diane Ahrens

    Class of Monotone Kernelized Classifiers on the basis of the Choquet Integral

    Expert Systems, vol. 37, no. First published: 21 January 2020, pp. 1-15

    2020

    DOI: 10.1111/exsy.12506

    Abstract anzeigen

    The key property of monotone classifiers is that increasing (decreasing) input values lead to increasing (decreasing) the output value. Preserving monotonicity for a classifier typically requires many constraints to be respected by modeling approaches such as artificial intelligence techniques. The type of constraints strongly depends on the modeling assumptions. Of course, for sophisticated models such conditions might be very complex. In this study we present a new family of kernels that we call it Choquet kernels. Henceforth it allows for employing popular kernel‐based methods such as support vector machines. Instead of a naïve approach with exponential computational complexity we propose an equivalent formulation with quadratic time in the number of attributes. Furthermore, since coefficients derived from kernel solutions are not necessarily monotone in the dual form, different approaches are proposed to monotonize coefficients. Finally experiments illustrate beneficial properties of the Choquet kernels.

    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 InformatikAngewandte Wirtschaftswissenschaften

    Zeitschriftenartikel

    M. Kretschmann, Andreas Fischer, Benedikt Elser

    Extracting Keywords from Publication Abstracts for an Automated Researcher Recommendation System

    Digitale Welt, vol. 4, no. 1, pp. 20-25

    2020

    DOI: 10.1007/s42354-019-0227-2

    Abstract anzeigen

    This paper presents an automated keyword assignment system for scientific abstracts. That system is applied to paper abstracts collected in a local publication database and used to drive a researcher recommendation system. Problems like low data volume and missing keywords are discussed. For remediation, training is performed on an extended data set based on large online publication databases. Additionally a closer look at label imbalance in the dataset is taken. Ten multi-label classification algorithms for assigning keywords from a given catalogue to a scientific abstract are compared. The usage of binary relevance as transformation method with LightGBM as classifier yields the best results. Random oversampling before the training phase additionally increases the F1-Score by around 5-6%.

    DigitalAngewandte InformatikTC Grafenau

    Zeitschriftenartikel

    Ali Fallah Tehrani, M. Strickert, Diane Ahrens

    A Class of Monotone Kernelized Classifiers on the Basis of the Chopuet Integral

    [Accepted for publication]

    Expert Systems

    2020

    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.

    NachhaltigTC Freyung

    Zeitschriftenartikel

    A. Poque González, Y. Masip Macia, Javier Valdés, Luis Ramirez Camargo

    Cogeneración en Chile: Capacidades, desarrollo y perspectivas

    [Status: In Press]

    Avances en Energías Renovables y Medio Ambiente (AVERMA)

    2020

    Abstract anzeigen

    RESUMEN: En Chile, el proyecto de cogeneración más antiguo data de 1930 y operó hasta el año 1997. Sin embargo, pese a que la tecnología lleva introducida largo tiempo, pocos son los estudios que han analizado el potencial de CHP y su evolución. Un primer paso para el estudio del potencial del país es la creación de un catastro que incluya la capacidad instalada. El interés de este ejercicio radica en el potencial de integración de mayores cantidades de CHP en el sistema eléctrico con el objetivo de hacer frente a la intermitencia de fuentes de energía no convencionales. Además, las plantas CHP pueden ayudar a alcanzar los objetivos de eficiencia energética gracias a la posibilidad de los generadores de volcar a la red tanto la electricidad como calor no consumido en los procesos productivos. Sin embargo, para que esto ocurra es necesario el desarrollo de un marco regulatorio acorde a las capacidades y características de las plantas de CHP. El objetivo de este artículo es precisamente identificar las características de las instalaciones en industrias específicas, así como su evolución, con el objetivo de extrapolar los datos al resto de la economía y obtener un potencial de CHP para el país. Para ello, se han hecho consultas de catastros anteriores, así como entrevistas con empresas para conocer el estado actual del parque de plantas de CHP en el país. Palabras clave: cogeneración, eficiencia energética, flexibilidad del sistema eléctrico 1.

    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

    Zeitschriftenartikel

    Michael Scholz, C. Brenner, O. Hinz

    AKEGIS: automatic keyword generation for sponsored search advertising in online retailing

    Decision Support Systems, vol. 119, no. April, pp. 96-106

    2019

    DOI: 10.1016/j.dss.2019.02.001

    Abstract anzeigen

    Sponsored search advertisers face several complex decisions when planning and implementing a new sponsored search advertising campaign. These decisions include the selection of keywords, the definition of landing pages, and the formulation of bidding strategies. Relatively low attention has been paid on supporting the selection of keywords in recent research and most studies on sponsored search advertising focus on the formulation of bidding strategies and strategies for budget planning. We present a novel approach for automatically generating sponsored search keywords that relies on the theory of consumer search behavior. Our approach uses an online store's internal search log to extract keywords used by consumers within their search process, because recent research has shown that especially consumers with a high conversion probability that exhibit goal-directed instead of exploratory search patterns use an online store's internal search engine. We empirically test our approach based on a store's internal search engine and identify the effects of this approach by comparing it to a state-of-the-art approach. Our analysis reveals that our approach substantially increased the number of profitable keywords, improved the store's conversion rate by approximately 41%, and decreased the average cost per click by more than 70%.

    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

    DigitalAngewandte WirtschaftswissenschaftenGMRC

    Buch (Monographie)

    Josef Scherer

    Das interessiert Kapitalgeber: Antifragilität und der „Achilleskörper“ des Ordentlichen Kaufmanns

    Vermeidung der persönlichen Haftung für Missmanagement am Beispiel „Governance, Risk und Compliance („GRC“)“ und Geschäftsprozessdigitalisierung

    2019

    Angewandte Wirtschaftswissenschaften

    Buch (Monographie)

    Johannes Klühspies, M. Hoffmann, D. Fuchsberger

    Schloss Nymphenburg ‐ Potentiale und Barrieren einer Nominierung als UNESCO Weltkulturerbe

    2019

    DOI: 10.13140/RG.2.2.15842.89289

    Abstract anzeigen

    Über Jahrhunderte und Kulturepochen hinweg spielte Schloss Nymphenburg eine entscheidende Rolle auf der Bühne der europäischen Kultur. Im Gesamtensemble von Kanälen, Schleusen, Brunnhäusern und Fontänen manifestieren sich dreihundert Jahre europäischer Technikgeschichte in München. Mit imposanten 632 Metern Fassadenbreite übertrifft das Schloss Nymphenburg zudem sämtliche Schlossbauten Europas, auch Versailles. Nymphenburg gilt als Ort der Erfindung des Rokokostils, es repräsentiert einen Markstein in Biedermeier und Romantik. Die sogenannten Parkburgen sind einzigartige kunstgeschichtliche Preziosen. Wegen dieses einzigartigen, außergewöhnlichen sowie universellen Wertes bestehen grundsätzlich gute Chancen für eine erfolgreiche Nominierung als Weltkulturerbe der UNESCO. Allerdings wird diese Perspektive durch die Planung eines modernistischen Museumsbaus („BIOTOPIA“) (2020) gefährdet. Teilabriss und Neubau im Altbaubestand des Schlosses bedrohen das idealtypische, auf strenge Symmetrie basierende, barocke Ensemble. Strukturen und Materialien werden gravierend verändert. Würde BIOTOPIA tatsächlich in den historischen Bestand Nymphenburgs hineingebaut, dürfte eine Bewerbung als UNESCO Weltkulturerbe dauerhaft unmöglich werden. Durch die bauliche Zerstörung des Nymphenburger Ensembles (durch ein neues Museum am falschen Ort) drohen sich München und der Freistaat Bayern eines kulturellen Erbes ersten Rangs zu berauben.

    DigitalDEG-DLM2IQW

    Buch (Monographie)

    Matthias Vollroth

    Technisches Konzept Automatisierte Vorlesungsaufzeichnungen für das Projekt DEG-DLM2

    2019

    DigitalDEG-DLM2IQW

    Buch (Monographie)

    Andreas Gegenfurtner, Christian Ebner

    Langfristige Transfereffekte wissenschaftlicher Weiterbildung für nicht-traditionell Studierende im Blended Learning-Design

    2019