InformaApp - Publikationen

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.

Digital Angewandte Informatik TC 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.

Digital TC Grafenau

Beitrag (Sammelband oder Tagungsband)

T. Wimmer, Michael Scholz

Online Product Descriptions - Boost for your Sales?

14. Internationale Tagung Wirtschaftsinformatik, Siegen

2019

Digital TC 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

Mobil Angewandte Wirtschaftswissenschaften

Beitrag (Sammelband oder Tagungsband)

Johannes Klühspies

Ein Bahnhof ist das Zugangstor zur Mobilität

Geschäftsbericht 2018 des Zweckverbands Kommunale Verkehrssicherheit Oberpfalz

2019

Digital Maschinenbau 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

Digital Maschinenbau 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.

Digital Maschinenbau 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.

Publikationen

Fakultät

Standort

Institut

Suche nach „[Contribution]“ hat 1746 Publikationen gefunden

Über