INDIN

Keyphrases

Publications

2023

Christos Anagnostopoulos, Georgios Mylonas, Apostolos P. Fournaris, Christos Koulamas
A Design Approach and Prototype Implementation for Factory Monitoring Based on Virtual and Augmented Reality at the Edge of Industry 4.0. INDIN (2023)
Chi Ho Li, Shu Lun Mak, Chi Chung Lee, T. T. Lee, Norton H. Y. Yuen, Wai Fan Tang
A Review of 5G Building Management Technologies and Applications in Smart Campus. INDIN (2023)
Felix Specht, Jens Otto, Daniel Ratz
Generation of Synthetic Data to Improve Security Monitoring for Cyber-Physical Production Systems. INDIN (2023)
Axel Sikora, Fabian Sowieja, E. Jubin Sebastian, Manuel Schappacher, Wacime Hadrich
Automated Physical TestBeds (APTB 2.0): Enabling Reliable and Efficient Testing of Wireless Communication Networks for IoT and Industry 4.0. INDIN (2023)
Thomas Decker, Michael Lebacher, Volker Tresp
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. INDIN (2023)
Simon Schindler, Martin Uray, Stefan Huber
A Mini Review on the utilization of Reinforcement Learning with OPC UA. INDIN (2023)
Tiago Ribeiro, João Paulo Coelho, Luísa Jorge, Joaquim Sardão, José Gonçalves, Higor Vendramini Rosse
Modelling with NGSI-LD: the VALLPASS project case study. INDIN (2023)
Yacine Belguermi, Patrice Wira, Gilles Hermann
A multi-output LSTM-CNN learning scheme for power disaggregation within a NILM framework. INDIN (2023)
Julius Wötner, Helene Dörksen, Miriam Pein-Hackelbusch
Key Indicators for the Discrimination of Wines by Electronic Noses. INDIN (2023)
Omar Ismail, Alexander Fay
Optimizing Virtual Commissioning of a Robotic System using Process Mining and Footprints Conformance Checking. INDIN (2023)
Padma Iyenghar, Michael Kieviet, Elke Pulvermüller, Juergen Wuebbelmann
A Chatbot Assistant for Reducing Risk in Machinery Design. INDIN (2023)
Sebastian Kropatschek, Siegfried Hollerer, David Hoffman, Dietmar Winkler, Arndt Lüder, Thilo Sauter, Wolfgang Kastner, Stefan Biffl
Combining Models for Safety and Security Concerns in Automating Digital Production. INDIN (2023)
Christoph Binder, Ambra Calà, Jan Vollmar, Christian Neureiter, Arndt Lüder
Model-driven Engineering of flexible Production Systems with the RAMI Toolbox. INDIN (2023)
Izhar Oswaldo Escudero-Ornelas, Divya Tiwari, Michael Farnsworth, Ze Zhang, Ashutosh Tiwari
Hybrid Computational Framework for Fault Detection in Coil Winding Manufacturing Process Using Knowledge Distillation. INDIN (2023)
Marco Wagenstetter, Thomas Aicher, Arvid Hellmich, Steffen Ihlenfeldt
Design requirements for a modular framework of industrial surface defect detection system designs in the context of machined, automotive workpieces. INDIN (2023)
Melisa López, Sebastian Bro Damsgaard, Akif Kabaci, Weifan Zhang, Himanshu Sharma, Sepideh Valiollahi, Ignacio Rodriguez, Preben Mogensen
Towards the 5G-Enabled Factories of the Future. INDIN (2023)
Marcel Dix, Gianluca Manca, Kenneth Chigozie Okafor, Reuben Borrison, Konstantin Kirchheim, Divyasheel Sharma, Kr Chandrika, Deepti Maduskar, Frank Ortmeier
Measuring the Robustness of ML Models Against Data Quality Issues in Industrial Time Series Data. INDIN (2023)
William J. Tubbs, Mehmet Mercangöz
Using Prior Knowledge to Improve Adaptive Real Time Exploration and Optimization. INDIN (2023)
Marco Ehrlich, Andre Bröring, Christian Diedrich, Jürgen Jasperneite, Wolfgang Kastner, Henning Trsek
Determining the Target Security Level for Automated Security Risk Assessments. INDIN (2023)
Franc Pouhela, Dennis Krummacker, Hans D. Schotten
Entity Component System Architecture for Scalable, Modular, and Power-Efficient IoT-Brokers. INDIN (2023)
Jörn Tebbe, Thomas Pawlik, Marc Trilling, Jannis Löbner, Markus Lange-Hegermann, Jan Schneider
Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system. INDIN (2023)
Xiaofei Wang, Herbert Schuster, Reuben Borrison, Benjamin Klöpper
Technical Debt Management in Industrial ML - State of Practice and Management Model Proposal. INDIN (2023)
Michael Gundall, Christopher Huber, Hans D. Schotten
Extended Reference Broadcast Infrastructure Synchronization Protocol in 5G and Beyond. INDIN (2023)
Raphael Hanselle, Martin Griese, Rainer Rasche, Thomas Schulte
HIL Simulation of the Positioning Control for an Automated Driving Monorail Vehicle. INDIN (2023)
Francesco Tosoni, Nicola Dall'Ora, Enrico Fraccaroli, Sara Vinco, Franco Fummi
Thermal Digital Twin of a Multi-Domain System for Discovering Mechanical Faulty Behaviors. INDIN (2023)
Marlon Löppenberg, Andreas Schwung
Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes. INDIN (2023)
Siegfried Hollerer, Wolfgang Kastner, Thilo Sauter
Safety and Security: A Field of Tension in Industrial Practice. INDIN (2023)
Arvind Merwaday, Rath Vannithamby, Mark Eisen, Susruth Sudhakaran, Dave A. T. Cavalcanti, Valerio Frascolla
Communication-Control Co-design for Robotic Manipulation in 5G Industrial IoT. INDIN (2023)
Kathrin Land, Luis Gustavo Nardin, Birgit Vogel-Heuser
Increasing Robustness of Agents' Decision-Making in Production Automation using Sanctioning. INDIN (2023)
Johannes Metzler, Fouad Bahrpeyma, Dirk Reichelt
. INDIN (2023)
Pushparaj Bhosale, Wolfgang Kastner, Thilo Sauter
Integrated Safety-Security Risk Assessment for Production Systems: A Use Case Using Bayesian Belief Networks. INDIN (2023)
Constanze Hasterok, Jan Hermes, Benedikt Stratmann
Re - A novel simulation framework for drifting regression data. INDIN (2023)
Alexander Rommel, Dominik Hauf, Florian Kerber
Development of a CAD-based automated worker guidance system. INDIN (2023)
Fatemeh Stodt, Christoph Reich, Axel Sikora, Dominik Welte
Trust Management System for Hybrid Industrial Blockchains. INDIN (2023)
Christopher Beck, Luca Brodo, Camila Belen Quintanilla Docmac, Stefan Henkler, Achim Rettberg, Kristian Rother
Introducing a group-based remote laboratory for embedded education. INDIN (2023)
Chao Ouyang, Haijun Zhang, Xiangyu Mu, Zhou Wu, Wei Dai
E-VarifocalNet: A Lightweight Model to Detect Insulators and Their Defects under Power Grid Surveillance. INDIN (2023)
Carl Willy Mehling, Sven Pieper, Steffen Ihlenfeldt
Concept of a causality-driven fault diagnosis system for cyber-physical production systems. INDIN (2023)
Kanako Amano, Anna Komori, Saki Nakazawa, Yuka Kato
Adaptive Navigation Method for Mobile Robots in Various Environments using Multiple Control Policies. INDIN (2023)
Alexander Keusch, Thomas Hiessl, Martin Joksch, Axel Sündermann, Daniel Schall, Stefan Schulte
Edge Intelligence for Detecting Deviations in Batch-based Industrial Processes. INDIN (2023)
Ederson Ribas Machado, Max Feldman, Ivan Müller
A Container-based Architecture to Provide Services from SDR Devices. INDIN (2023)
Fiorella Sibona, Jelle Luijkx, Bas van der Heijden, Laura Ferranti, Marina Indri
EValueAction: a proposal for policy evaluation in simulation to support interactive imitation learning. INDIN (2023)
Robin Mroß, Aron Schnakenbeck, Marcus Völker, Alexander Fay, Stefan Kowalewski
GRAFCET Reduction Techniques for Model Checking. INDIN (2023)
Burhan Kara, M. Sarmad Qureshi, Zeynep Basaran Bundur, Ozkan Bebek
Designing Redundant Cable-Driven Parallel Robots for Additive Manufacturing using End-Effector Compliance Index. INDIN (2023)
Buse Sibel Korkmaz, Tong Liu, Mehmet Mercangöz
Adaptive Real-Time Exploration and Optimization of Safety-Critical Industrial Systems with Ensemble Learning. INDIN (2023)
Steven Koppert, Maximilian Bause, Christian Henke, Ansgar Trächtler
Learning the Automated Setup of Profile Wrapping Lines for New Products from Few Past Setups. INDIN (2023)
Sebastian Eilermann, Leon Wehmeier, Oliver Niggemann, Andreas Deuter
KIAAA: An AI Assistant for Teaching Programming in the Field of Automation. INDIN (2023)
Aron Schnakenbeck, Robin Mroß, Marcus Völker, Stefan Kowalewski, Alexander Fay
A Control Flow based Static Analysis of GRAFCET using Abstract Interpretation. INDIN (2023)
Luciano Lorenti, Davide Dalle Pezze, Jacopo Andreoli, Chiara Masiero, Natalie Gentner, Yao Yang, Gian Antonio Susto
Predictive Maintenance in the Industry: A Comparative Study on Deep Learning-based Remaining Useful Life Estimation. INDIN (2023)
Benjamin Uhrich, Nikolai Hlubek, Tim Häntschel, Erhard Rahm
Using differential equation inspired machine learning for valve faults prediction. INDIN (2023)
Moritz Allmendinger, Nicolaj C. Stache, Frank Tränkle
Integration of Reinforcement Learning into Fluid Control Systems. INDIN (2023)