activity
20202026
most citedA Survey on Anomaly Detection for Technical Systems using LSTM Networks

442 citations · 902 across the 47 of their papers we have counts for

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Showing 2024Show all

10 papers · 1 filter

eess.SY2024

Efficient Creation of Behavior Models with Variable Modeling Depths Used in Digital Twins

Valentin Stegmaier, Walter Schaaf, Nasser Jazdi +1

Behavior models form an integral component of Digital Twins. The specific characteristics of these models may vary depending on the use case. One of these key characteristics is th…

cs.ET2024

A Survey on Performance, Current and Future Usage of Vehicle-To-Everything Communication Standards

Falk Dettinger, Matthias Weiß, Daniel Dittler +3

Wireless communication between road users is essential for environmental perception, reasoning, and mission planning to enable fully autonomous vehicles, and thus improve road safe…

eess.SY2024★ 3 cited

Control Industrial Automation System with Large Language Model Agents

Yuchen Xia, Nasser Jazdi, Jize Zhang +2

Traditional industrial automation systems require specialized expertise to operate and complex reprogramming to adapt to new processes. Large language models offer the intelligence…

cs.AI2024★ 1 cited

Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility

Yuchen Xia, Jize Zhang, Nasser Jazdi +1

This paper introduces a novel approach to integrating large language model (LLM) agents into automated production systems, aimed at enhancing task automation and flexibility. We or…

cs.SE2024

Tackling Erosion in Variant-Rich Software Systems: Challenges and Approaches

Johannes Stümpfle, Nasser Jazdi, Michael Weyrich

Software product lines (SPL) have emerged as a pivotal paradigm in software engineering, enabling the efficient development of variant-rich software systems. Consistently updating…

cs.CE2024★ 33 cited

Knowledge Graphs in the Digital Twin: A Systematic Literature Review About the Combination of Semantic Technologies and Simulation in Industrial Automation

Franz Georg Listl, Daniel Dittler, Gary Hildebrandt +3

The ongoing digitization of the industrial sector has reached a pivotal juncture with the emergence of Digital Twins, offering a digital representation of physical assets and proce…

cs.CE2024★ 9 cited

Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle

Daniel Dittler, Valentin Stegmaier, Nasser Jazdi +1

The concept of the Digital Twin, which in the context of this paper is the virtual representation of a production system or its components, can be used as a "digital playground" to…

cs.AI2024★ 1 cited

LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins

Yuchen Xia, Daniel Dittler, Nasser Jazdi +2

This paper presents a novel design of a multi-agent system framework that applies large language models (LLMs) to automate the parametrization of simulation models in digital twins…

cs.ET2024★ 4 cited

Simulating Cloud Environments of Connected Vehicles for Anomaly Detection

M. Weiß, J. Stümpfle, F. Dettinger +2

The emergence of connected vehicles is driven by increasing customer and regulatory demands. To meet these, more complex software applications, some of which require service-based…

cs.AI2024★ 84 cited

Generation of Asset Administration Shell with Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0

Yuchen Xia, Zhewen Xiao, Nasser Jazdi +1

This research introduces a novel approach for achieving semantic interoperability in digital twins and assisting the creation of Asset Administration Shell (AAS) as digital twin mo…