Wagener, Andreas (2018)
Nerdwärts.de.
Blockchain und Künstliche Intelligenz sind derzeit die „Buzzwords“ schlechthin, wenn es um Gegenwart und Zukunft der Digitalisierung geht. Das Zusammenspiel dieser beiden Technologien dürfte jedoch für eine völlig neue Qualität in der Digitalen Transformation sorgen – zum Beispiel in der Medienbranche.
Wolff, Dietmar (2018)
sgp INSIDER 12/2018, S. S. 25.
Wagener, Andreas (2018)
Industry of Things.
Dr. Andreas Wagener, Professor für Digitales Marketing an der Hochschule Hof, prognostiziert, dass zukünftig direkte Transaktionen zwischen "Dingen" möglich werden. Außerdem hält er völlig neue Anwendungen, z.B. im Micropayment für denkbar.
Wagener, Andreas (2018)
Nerdwärts.de.
Die digitalen Schlüsseltechnologien „Künstliche Intelligenz“ (KI) und „Blockchain“ sind derzeit in aller Munde. Spannend wird es aber, wenn diese beiden Felder zusammenwachsen. Daraus ergeben sich insbesondere für das Internet der Dinge interessante Perspektiven. Sind wir auf dem Weg zu einer weiteren industriellen Revolution – der Industrie 5.0?
Stolz, Andreas; Müller-Czygan, Günter (2018)
Automation Blue, S. S. 45-48.
Müller-Czygan, Günter (2018)
gwf Praxisbuch Wasser 4.0, S. S. 24-32.
Wogenstein, Florian; Gaul, Charly; Kropp, Peter; Scheidt, Jörg; Siebenhaar, Yannic; Drescher, Johannes (2018)
Wogenstein, Florian; Gaul, Charly; Kropp, Peter; Scheidt, Jörg; Siebenhaar, Yannic...
it - Information Technology 2018 60 (1), S. S. 11-19.
DOI: 10.1515/itit-2017-0016
In this paper we introduce the design and technical implementation of the citizen science project Migraine Radar. The goal of the project is to establish a large collection of migraine attack data in order to explore the trigger factors of migraine attacks. A main focus is the investigation of the influence of environmental factors like weather or changes in the geomagnetic activity on the frequency of migraine attacks. After registering with the project, participants report their migraine attack data using a web app or one of the smartphone apps implemented for Android and iOS. As a benefit, the system serves as a personal headache calendar and participants have access to statistics and individualized reports about their attacks. For scientific analysis the data are pre-processed and provided to the researchers in an anonymized way.
Stark, Carsten (2018)
Public Administration in Brazil and Germany. Comparative Perspectives on Education, the Relation to the Public and Currant Challenges..
Wagener, Andreas (2018)
Wolff, Dietmar / Göbel, Richard (Hrsg.): Digitalisierung – Segen oder Fluch.
Wagener, Andreas (2018)
dpr – Digital Publishing Report, Nr. 1/2018, Trends 2018, S. S. 11.
Weber, Beatrix (2018)
Begleitforschung Smart Data: Big Data, Smart Data, Next?, S. S. 88-91.
Weber, Beatrix (2018)
Digitalisierung - Segen oder Fluch?, S. S. 101-123.
Wolff, Dietmar (2018)
Der Paritätische Sachsen-Anhalt, Blickpunkte 01/2018, S. S. 36-37.
Wolff, Dietmar; Göbel, Richard (2018)
Wolff, Dietmar (2018)
Digitaler Wandel in der Sozialwirtschaft - Grundlagen-Strategien-Praxis, S. S. 45-56.
Wolff, Dietmar (2018)
SOZIALwirtschaft 1/2018.
Stark, Carsten (2018)
Organizational Integrity. Individual Misconduct and the Legal Structure of Society. Springer International: Cham 2018.
Stark, Carsten (2018)
in: Möltgen u.a.(Hrsg.), Public Administration in Brazil and Germany. Comparative Perspectives on Education, the Relation to the Public and Currant Challenges..
Plenk, Valentin; Lang, Sascha; Wogenstein, Florian (2017)
International Journal On Advances in Software 10 (3 und 4), S. 167-179.
This paper proposes to make complex production machines more user-friendly. Improved machines help the operator in case of an error message or a process event by displaying recommendations, such as “at the last 10 occurrences of this event the operators performed the following keystrokes”. The messages are generated from statistical data on former user- interaction and previous process-events. The data represents the knowledge of all the machine operators. The data is gathered by logging user-interaction and process-events during regular operation of the production machine. This approach allows to store the operators’ expert knowledge in the production machine without human intervention.
Darr, Willi (2017)
Alfons-Goppel-Platz 1
95028 Hof
T +49 9281 409 - 4690
valentin.plenk[at]hof-university.de