Thesis supervisor: Gergely Bencsik
Location of studies (in Hungarian): Eötvös Loránd University, Faculty of Informatics Abbreviation of location of studies: IK
Description of the research topic:
The task is to create an Industry 4.0 framework. The data of different machines and sensors are coming online through an integrated network. Further task is to create the integrated network, too. Data are store in a database. The next task is to create the controlling module of framework. The module is based on neural network and machine learning models and methods. The framework must be implemented with given machines and sensors. The machines and data sources are available for the research.
The framework must ensure that new machines or sensors can be attached automatically at all levels. If a new machine is attached, then the data must be automatically uploaded into the database without any modification. Recalibration of command and control tasks should also be done automatically. In the case of new sensors, providing the possibility of automatic retraining of the neural network is an additional task.
Required language skills: Hungarian or English Recommended language skills (in Hungarian): English Further requirements: Presence in Szombathely is mandatory.
Number of students who can be accepted: 2
Deadline for application: 2023-05-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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