piwik-script

Intern
    Lehrstuhl für Informatik III

    Usage of AI methods for the parametrization of convergent, deterministic, industrial networks (KIKDIN)

    Partner Siemens Predevelopment Nürnberg
    Funded period July 2019 - September 2019
    Researcher Dr. Michael Seufert
    Alexej Grigorjew M. Sc.

    Project Description

    Within the “KIKDIN” project, the chair of communication networks of the University of Würzburg and SIEMENS investigate the usage of AI methods for the parametrization of convergent, deterministic, industrial networks. The long-term goal is to assign and parametrize network configurations for different application types and different network infrastructures in an automated and dynamic way. The assignment shall be based on statistical methods, which especially includes the usage of machine learning as an AI method.

    Time-Sensitive Networking Components [Source: Farkas J., Introduction to IEEE 802.1 (focus on TSN TG)]

    Figure 1: Time-Sensitive Networking Components [Source: Farkas J., Introduction to IEEE 802.1 (focus on TSN TG)]