Publikationen


Suche nach „[Digital]“ hat 1018 Publikationen gefunden
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    DigitalAngewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    M. Thurner, Patrick Glauner

    Digitalization in Mechanical Engineering

    Innovative Technologies for Market Leadership: Investing in the Future

    2020

    ISBN: 978-3-030-41308-8

    DigitalAngewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    Patrick Glauner

    Unlocking the Power of Artificial Intelligence for Your Business

    Innovative Technologies for Market Leadership: Investing in the Future

    2020

    ISBN: 978-3-030-41308-8

    DigitalAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    C. Hoermann, Raphaela Pagany, K. Kirchner, Wolfgang Dorner, M. Heurich, I. Storch

    Predicting the risk of deer-vehicle collisions by inferring rules learnt from deer experience and movement patterns in the vicinity of roads

    [Accepted for publication]

    Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

    2020

    DigitalAngewandte InformatikTC Freyung

    Beitrag (Sammelband oder Tagungsband)

    Raphaela Pagany, Javier Valdés, Wolfgang Dorner

    Risk prediction of wildlife-vehicle collisions comparing machine learning methods and data use

    [Accepted for publication]

    Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]

    2020

    DigitalAngewandte InformatikTC Freyung

    Zeitschriftenartikel

    J. Trager, L. Kalová, Raphaela Pagany, Wolfgang Dorner

    Warning apps for road safety – a technological and economical perspective for autonomous driving

    [Article submitted]

    International Journal of Human–Computer Interaction

    2020

    DigitalAngewandte InformatikTC Freyung

    Zeitschriftenartikel

    Raphaela Pagany

    Wildlife-vehicle collisions—Influencing factors, data collection and research methods

    [Article submitted]

    Biological Conservation

    2020

    DigitalInstitut für Existenzgründung

    Beitrag (Sammelband oder Tagungsband)

    Thomas Bartscher, W. Büning

    Entzauberung von Latenzen

    Change-Tools, Bonn

    2020

    ISBN: 978-3936075397

    DigitalFraunhofer AWZ CTMTMaschinenbau und Mechatronik

    Zeitschriftenartikel

    F. Heilmeier, R. Koos, Peter Hornberger, Jochen Hiller, K. Weraneck, M. Jakobi, A. Koch, W. Volk

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

    Measurement, vol. 163, no. 15 October 2020

    2020

    DOI: 10.1016/j.measurement.2020.107939

    Abstract anzeigen

    Fibre Bragg gratings (FBGs) are utilized to function as internal strain sensors during casting, solidification and cooling of two hypoeutectic Al alloys and technically pure Al. In situ neutron diffraction experiments were conducted simultaneously onsite the STRESS-SPEC instrument at the Research-Neutron Source (MLZ) in Garching. The experimental data correlated with structural finite element simulation and X-ray micro tomography (CT) elucidates the mechanisms of this measurement system. The presented work offers a new practical approach to measure in-situ strains during casting of Al alloys by using FBG-based sensors. The FBG strain results correlate with the Al(311) peak obtained by neutron diffraction which is furthermore used for calibration. The examination of interactions between fibres and surrounding cast Al by finite element simulation and CT of the cast specimens enables the application of the sensors for unequivocal strain measurements in castings as well as the characterization of alloys during solidification.

    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

    Marco Kretschmann, Andreas Fischer, Benedikt Elser

    Extracting Keywords from Publication Abstracts for an Automated Researcher Recommendation System

    Digitale Welt (Proceedings of the First International Symposium on Applied Artificial Intelligence in Conjunction with DIGICON), 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 Informatik

    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 InformatikTC 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.

    DigitalNachhaltigAngewandte WirtschaftswissenschaftenTC Grafenau

    Beitrag (Sammelband oder Tagungsband)

    S. Goisser, J. Krause, Michael Fernandes, H. Mempel

    Determination of tomato quality attributes using portable NIR-sensors

    Proceedings of OCM 2019: 4th International Conference on Optical Characterization of Materials (13-14 March, 2019; Karlsruhe), Karlsruhe

    2019

    ISBN: 978-3-7315-0864-9

    DOI: 10.5445/KSP/1000087509

    Abstract anzeigen

    As part of a research project a multidisciplinary approach of different research institutes is followed to investigate the possibility of using a commercially available miniaturized NIR-sensor for the determination of tomato fruit quality parameters in postharvest. Correlation of spectra and tomato reference values of firmness, dry matter and total soluble solids showed good prediction accuracy. Additionally the decline of firmness over storage time with respect to storage temperature of tomatoes could be modelled. Therefore, the decline of firmness as an indicator for shelf-life can be predicted using this portable NIR-Sensor.

    DigitalNachhaltigExtern

    Beitrag (Sammelband oder Tagungsband)

    Anton Schmailzl, S. Hüntelmann, T. Loose, Johannes Käsbauer, F. Maiwald, S. Hierl

    Potentials of the ALE-Method for Modeling Plastics Welding Processes, in Particular for the Quasi-Simultaneous Laser Transmission Welding

    Mathematical Modelling of Weld Phenomena 12, Graz, Österreich, vol. 12

    2019

    ISBN: 978-3-85125-615-4

    DOI: 10.3217/978-3-85125-615-4-51

    Abstract anzeigen

    The Arbitrary-Lagrangian-Eulerian-Method (ALE-Method) offers the possibility to model the quasi-simultaneous laser transmission welding of plastics, in which a squeeze-flow of molten plastic occurs. It is of great interest to get a deeper understanding of the fluid-structure-interactions in the welding zone, since the occurring squeeze-flow transports heated material out of the joining zone, causing a temperature decrease inside. In addition, the numerical modelling offers the possibility to investigate the flow conditions in the joining zone. The aim of this article is to show the potentials of the ALE-Method to simulate the quasi-simultaneous laser transmission welding with the commercially available software LS-DYNA. The central challenge is to realize a bi-directional thermo-mechanically coupled simulation, which considers the comparatively high thermal expansion and calculates the interactions of solid and melted plastic correctly. Finally, the potentials of the ALE element formulations for the mathematical description of welding processes are shown, especially for those with a squeeze-flow.

    DigitalNachhaltigExtern

    Beitrag (Sammelband oder Tagungsband)

    T. Heberholz, Anton Prihodovsky, M. Nowottnick

    Influence of a New Abnormal (CuNi)6Sn5 / (NiCu)3Sn4 Layer Growth at Temperatures Above 175°C in Tin Silver Based Lead-Free Solder Joints

    Proceedings of the SMTA International Conference 2019 (22-26 September 2019; Rosemont, IL, USA)

    2019

    DigitalNachhaltigExtern

    Beitrag (Sammelband oder Tagungsband)

    B. Quandt, Korbinian Schröcker, S. Hierl

    Prozessüberwachung beim quasi-simultanen Laser-Durchstrahlschweißen glasfaserverstärkter Thermoplaste

    9. Landshuter Leichtbau-Colloquium (2019), Landshut, vol. 9

    2019

    ISBN: 978-3-9818439-2-7

    DigitalNachhaltigExtern

    Beitrag (Sammelband oder Tagungsband)

    Anton Schmailzl, B. Quandt, S. Hierl, M. Schmidt

    Correlation between Joint Strength and Process Temperature in Quasi-Simultaneous Laser Transmission Welding of Polyamide 6

    Proceedings of LiM2019 - Lasers in Manufacturing (23 June 2019, Munich)

    2019

    DigitalNachhaltigExtern

    Zeitschriftenartikel

    Johannes Käsbauer, Anton Schmailzl, U. Weber, S. Hierl, T. Jaus, M. Schwalme

    Simulationsgestütze Evaluierung von Strahloszillationsmustern beim quasi-simultanen Laser-Durchstrahlschweißen.

    Joining Plastics - Fügen von Kunststoffen, no. 2, pp. 102-109

    2019

    DigitalNachhaltigAngewandte Gesundheitswissenschaften

    Zeitschriftenartikel

    Alexandra Glufke, Horst Kunhardt

    Länger leben zu Hause mit digital-technischer Unterstützung – das Projekt DeinHaus 4.0 Niederbayern

    Bavarian Journal of Applied Sciences (Rubrik Schlaglichter), vol. 5, no. 1, pp. 476-481

    2019

    DOI: 10.25929/bjas.v5i1.73

    Abstract anzeigen

    Das Projekt DeinHaus 4.0 – länger leben zuhause an der Technischen Hochschule Deggendorf (THD) ist Teil einer Projektreihe des Bayerischen Staatsministeriums für Gesundheit und Pflege. Durch den Einsatz digital-technischer Assistenz-Systeme soll es Menschen mit Hilfs- und Unterstützungsbedarf ermöglicht werden, lange selbtsbestimmt, autonom, sicher und mit hoher Lebensqualität in der eigenen Häuslichkeit wohnen zu bleiben.