Publikationsserver der Technischen Hochschule Augsburg
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Entwicklung der Kommunikation für ein Telemetriesystem zur Beobachtung im rotierenden System
No full textDeveloping a Low-Power Sensor- and Actorplatform
No full textDespite platforms like Arduino, which ease the development of embedded applications, there are very few solutions for the simple development of low-power and remote controlled applications.
This work discusses the existing alternatives and a new approach of creating a solution for easy, no-code development of such appliances.
Different applicable technologies are compared, and an overview about the overall architecture and existing implementations into projects are given
Entwicklung eines neuronalen Netzes zur Sentimentanalyse und Emotionserkennung in digitalen Texten
No full textDigitale textbasierte Kommunikation steht vor der Herausforderung, trotz fehlender Kommu-
nikationshilfen wie Mimik und Gestik, reibungslos und möglichst ohne Missverständnisse zu
funktionieren. Mittels dem Einsatz künstlicher Intelligenz bzw. neuronaler Netze kann dieser
Mangel gelindert werden. Durch die Verwendung eines KI-Assistenten kann zwischenmenschli-
che digitale Kommunikation erfolgreicher und effektiver gestaltet werden, indem Nutzern eine
Verständnishilfe bereitgestellt wird. Im Rahmen dieser Arbeit werden verschiedene Methoden der
maschinellen Sprachverarbeitung sowie Arten neuronaler Netze auf ihre Eignung der Sentiment-
und Emotionsklassifikation verglichen. Anschließend wird ein neuronales Netz trainiert und in
eine prototypische Anwendung integriert, die das Modell als KI-Assistenten nutzt. Die Anwendung
wird in Form einer Browser-Erweiterung präsentiert.Digital text-based communication faces the challenge of functioning smoothly and, if possible,
without misunderstandings, despite the lack of communication aids such as facial expressions
and gestures. This deficiency can be alleviated by using artificial intelligence or neural networks.
By using an AI assistant, interpersonal digital communication can be made more successful and
effective by providing users with a means of understanding. This thesis compares various methods
of natural language processing and types of neural networks for their suitability for sentiment and
emotion classification. A neural network is then trained and integrated into a prototype application
that uses the model as an AI assistant. The application is presented as a browser extension
Novel Injector Technology with Advanced Modular Conceptual Design to Achieve Superior Material Feed in Jet Milling Systems
No full textThis paper explores a new principle for counter jet milling, whereby material is fed precisely guided into the free jet of Laval nozzles. By developing this concept, elaborating a modular prototype, and using rapid prototyping, calcium carbonate's feeding and milling behaviour in a multiphase flow was analysed under real conditions. Through experimental studies, the advantages of the next-generation system compared to classical feeding utilising a dosing screw were proven to be considerably more efficient. In addition, it was possible to determine actual firing zones using delamination tests performed on the MultiNo¨ 1050 counter jet mill manufactured by Aufbereitungstechnologie Noll GmbH, Bobingen, which represents a key basis for future optimisations and studies relating to large-scale industrial grinding processes
