Peer-Reviewed Scientific Journal Paper

Abbas, A., Haslgrübler, M., Dogar, A.M., and Ferscha, A.: Micro Activities Recognition in Uncontrolled Environments. MDPI Journal of Applied Sciences, Volume 11, Issue 21, ArticleNo. 10327. MDPI. 2021. https://doi.org/10.3390/app112110327

Abdul Hadi, M., Brillinger, M., Wuwer, M., Schmid, J., Trabesinger, S., Jäger, M. and Haas, F.: Sustainable peak power smoothing and energy-efficient machining process: A thorough analysis based on a case-study. Journal of Cleaner Production, Volume 318, ArticleNo. 128548, Elsevier. 2021. https://doi.org/10.1016/j.jclepro.2021.128548

Abdul-Hadi, M., Brillinger, M., Schmid, J., and Trabesinger, S.: High-Frequency machine datasets captured via Edge Device from Spinner U5-630 milling machine. Journal Data in Brief, ArticleNo. 107670. Elsevier. 2021. https://doi.org/10.1016/j.dib.2021.107670

Brillinger, M., Wuwer, M., Abdul Hadi, M., and Haas, F.: Energy prediction for CNC machining with machine learning. CIRP Journal of Manufacturing Science and Technology, Volume 35, pp. 715-723, Elsevier. 2021. https://doi.org/10.1016/j.cirpj.2021.07.014

Deutscher, J. and Gehring, N.: Output feedback control of coupled linear ODE-PDE-ODE systems. Journal IEEE Transactions on Automatic Control, Volume 66, Issue 10, pp. 4668-4683. IEEE. 2021. https://doi.org/10.1109/TAC.2020.3030763

Dhanoa, V., Walchshofer, C., Hinterreiter, A., Gröller, E., and Streit, M.: Fuzzy Spreadsheet: Understanding and Exploring Uncertainties in Tabular Calculations. Journal IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG). IEEE. 2021. https://doi.org/10.1109/TVCG.2021.3119212

Gashi, M., Ofner, P., Ennsbrunner, H., and Thalmann, S.: Dealing with missing usage data in defect prediction: A case study of a welding supplier. Journal Computers in Industry, Volume 132, ArticleNo. 103505, Elsevier. 2021. https://doi.org/10.1016/j.compind.2021.103505

Gehring, N. and Woittennek, F.: Flatness-Based Output Feedback Tracking Control of a Hyperbolic Distributed-Parameter System. IEEE Control System Letters, Volume 6, pp. 992-997. IEEE. 2021. www.doi.org/10.1109/LCSYS.2021.3087955

Gehring, N.: A Systematic Design of Backstepping-Based State Feedback Controllers for ODE-PDE-ODE Systems. MTNS 2020, 24th International Symposium on Mathematical Theory of Networks and Systems, IFAC Papers Online, Volume 54, Issue 9, pp. 410-415, Elsevier. 2021. https://doi.org/10.1016/j.ifacol.2021.06.157

Hammer, A., Roland, W., Marschik, C., and Steinbichler, G.: Predicting the co-extrusion flow of non-Newtonian fluids through rectangular ducts – A hybrid modeling approach. Journal of non-Newtonian Fluid Mechanics, Volume 295, ArticleNo. 104618. Elsevier. 2021. https://doi.org/10.1016/j.jnnfm.2021.104618

Hammer, A., Roland, W., Zacher, M., Praher, B., Hannesschläger, G., Löw-Baselli, B. and Steinbichler, G.: In-Situ Detection of Interfacial Flow Instabilities in Polymer Co-Extrusion using Optical Coherence Tomography and Ultrasonic Techniques. Journal Polymers, Volume 13, ArticleNo. 2880. MDPI. 2021. https://doi.org/10.3390/polym13172880

Hofer, D., Jäger, M., Mohamed, A., and Küng, J.: A Study on Time Models in Graph Databases for Security Log Analysis. International Journal of Web Information Systems, pp. 427-448, EmeraldInsight. 2021. www.doi.org/10.1108/IJWIS-03-2021-0023

Irscheid, A., Gehring, N., and Rudolph, J.: Trajectory tracking control for a class of 2×2 hyperbolic PDE-ODE systems. MTNS 2020, 24th International Symposium on Mathematical Theory of Networks and Systems, IFAC Papers Online, Volume 54, Issue 9, pp. 416-421. Elsevier. 2021. https://doi.org/10.1016/j.ifacol.2021.06.158

Kajmakovic, A., Diwold, K., Kajtazovic, N., and Zupanc, R.: Challenges in Mitigating Errors in 1oo2D Safety Architecture with COTS Micro-controllers. International Journal on Advances in Systems and Measurements, Volume 13, No. 3 & 4, pp. 250-263. IARIA. 2021. ISSN 1942-261x

Koutroulis, G., Botler, L., Mutlu, B., Diwold, K., Römer, K., and Kern, R.: KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines. ACM Journal Transactions on Intelligent Systems and Technology, Vol. 12, No. 5, ArticleNo. 66, pp. 1-27. ACM. 2021. https://doi.org/10.1145/1122445.1122456

Kretschmer, R., Khelladi, D.E., and Egyed, A.: Transforming abstract to concrete repairs with a generative approach of repair values. Journal of Systems and Software, Volume 175, ArticleNo. 110889. Elsevier. 2021. https://doi.org/10.1016/j.jss.2020.110889

Lovrić, M., Pavlović, K., Vuković, M., Grange, S.K., Haberl, M. and Kern, R.: Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning. Journal on Environmental Pollution, Volume 274, ArticleNo. 115900. Elsevier. 2021. https://doi.org/10.1016/j.envpol.2020.115900

Mangler, J., Diwold, K., Etz, D., Rinderle-Ma, S., Ferscha, A., Reiner, G., Kastner, W., Bougain, S., Pollak, C., and Haslgrübler, M.: Sustainability Through Cognition Aware Safety Systems — Next Level Human-Machine-Interaction. arXiv Journal preprint. 2021. https://doi.org/10.48550/arXiv.2110.07003

Mayr-Dorn, C., Pereszteghy, B., Holzweber, J., and Mayrhofer, M.: Distributed tracing of IPC UA method calls. Journal e&i (Elektrotechnik & Informationstechnik), Volume 138, pp. 349-354. Springer. 2021. https://doi.org/10.1007/s00502-021-00903-3

Suschnigg, J., Mutlu, B., Koutroulis, G., Thalmann, S., Sabol, V., and Schreck. T.: Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations. Elsevier Journal Big Data Research, Volume 26, ArticleNo. 100251. Elsevier. 2021. https://doi.org/10.1016/j.bdr.2021.100251

Vukovic, M., Dhanoa, V., Jäger, M., Walchshofer, C., Küng, J., Krahwinkler, P., Mutlu, B. and Thalmann, S.: A Forecasting Model-Based Discovery of Causal Links of Key Influencing Performance Quality Indicators for Sinter Production Improvement. Journal of Iron & Steel Technology, March 2021, pp. 80-90. 2021.

Walchshofer, C., Hinterreiter, A., Xu, K., Stitz, H., and Streit, M.: Provectories: Embedding-based Analysis of Interaction Provenance Data. Journal IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG). IEEE. 2021. https://doi.org/10.1109/TVCG.2021.3135697

Weichhart, G., Mangler, J., Raschendorfer, A., Mayr-Dorn, C., Huemer, C., Hämmerle, A., and Pichler, A.: An Adaptive System-of-Systems Approach for resilient Manufacturing. Journal e&i (Elektrotechnik & Informationstechnik), Volume 138, pp. 341-348. Springer. 2021. https://doi.org/10.1007/s00502-021-00912-2

J. Xia, W. Lin, G. Jiang, Y. Wang, W. Chen, and T. Schreck.: Visual Clustering Factors in Scatterplots. IEEE Computer Graphics and Applications, Volume 41, Issue 5, pp. 79-89 IEEE. 2021. https://doi.org/10.1109/MCG.2021.3098804

Zia, K., Farooq, U., Shafi, M., and Ferscha, A.: On the effectiveness of multi-feature evacuation systems: an agent-based exploratory simulation study. PeerJ Computer Science 7:e531. 2021. https://doi.org/10.7717/peerj-cs.531

Peer-Reviewed Conference Paper

Abdul-Hadi, M., Brillinger, M., and Weinzerl, M.: Parametric evaluation and cost analysis in an e-axle assembly layout. EAI MMS 2020, 5th EAI International Conference on Management of Manufacturing Systems. Springer. 2021. https://doi.org/10.1007/978-3-030-67241-6_4

Abdul Hadi, M., Brillinger, M., Bloder, M., Bader, M., Ratasich, M., Haas, F., Trabesinger, S., Schmid, J., Weinzerl, M., Hick, H., Kopsch, P., and Armengaud E.: Implementing cognitive technologies in an assembly line based on two case studies. CIRP CATS 2020, 8th CIRP Conference on Assembly Technologies and System, ArticleNo. PROCIR397570. Elsevier. 2021. https://doi.org/10.1016/j.procir.2020.05.268

Abdelrahman, A., Haslgrübler, M., Sopidis, G., Azadi, B., and Ferscha, A.: Privacy Preserving Workflow Detection for Assembly Manufacturing Using Neural Networks based Object Detection. ACM IoT 2021, 11th International Conference on the Internet of Things, pp. 126-133. 2021. ACM. https://doi.org/10.1145/3494322.3494339

Botler, L., Diwold, K., and Römer, K.: A UWB-Based Solution to the Distance Enlargement Fraud Using Hybrid ToF and RSS Measurements. IEEE MASS, 18th International Conference on Mobile Ad Hoc and Smart Systems 2021, pp. 324-334. IEEE. 2021. https://doi.org/10.1109/MASS52906.2021.00049

Guiza, O., Mayr-Dorn, C., Mayrhofer, M., Egyed, A., Rieger, H., and Brandt, F.: Recommending Assembly Work to Station Assignment Based on Historical Data. IEEE ETFA 2021, 26th IEEE International Conference on Emerging Technologies and Factory Automation, p. 1-8. IEEE. 2021. https://doi.org/10.1109/ETFA45728.2021.9613480

Guiza, O., Mayr-Dorn, C., Weichhart, G., Mayrhofer, M., Bahman, B.Z., Egyed, A., Fanta, B., and Gieler, M.: Monitoring of Human-Intensive Assembly Processes Based on Incomplete and Indirect Shopfloor Observations. IEEE INDIN 2021, 19th International Conference on Industrial Informatics, pp. 1-8. IEEE. 2021. https://doi.org/10.1109/INDIN45523.2021.9557551

Guiza, O., Mayr-Dorn, C., Weichhart, G., Mayrhofer, M., Bahman, B.Z., Egyed, A., Fanta, B., and Gieler, M.: Automated Deviation Detection for Partially-Observable Human-Intensive Assembly Processes. IEEE INDIN 2021, 19th International Conference on Industrial Informatics, pp. 1-8. IEEE. 2021. https://doi.org/10.1109/INDIN45523.2021.9557502

Hammer, A., Roland, W., Marschik, C., and Steinbichler, G.: Applying the Shooting Method to Predict the Co-Extrusion Flow of Non-newtonian Fluids through Rectangular Ducts. SPE ANTEC 2021, Society of Plastic Engineering Annual Technical Conference. SPE ANTEC. 2021.

Huber, J., Haslgrübler, H., Schobesberger, M., Ferscha, A., Malisa, V., and Effenberger, G.: Addressing Worker Safety and Accident Prevention with AI. ACM IoT 2021, 11th International Conference on the Internet of Things, pp. 150-157. 2021. ACM. https://doi.org/10.1145/3494322.3494342

Irscheid, A., Gehring, N., Deutscher, J., and Rudolph, J.: Observer design for 2×2 linear hyperbolic PDEs that are bidirectionally coupled with nonlinear ODEs. 2021 European Control Conference (ECC), pp. 2506-2511. 2021. IEEE. https://doi.org/10.23919/ECC54610.2021.9654869

Jekic, N., Mutlu, B., Schreyer, M., Neubert, S., and Schreck T.: Visual Data Analysis of Production Quality Data for Aluminum Casting. HICSS 2021, 54th Hawaii International Conference on System Sciences, pp. 1487-1495. HICSS. 2021. http://doi.org/10.24251/HICSS.2021.179

Jekic, N., Mutlu, B., Schreyer, M., Neubert, S., and Schreck, T.: Similarity Measures for Visual Comparison and Retrieval of Test Data in Aluminum Production. iVAPP 2021, 12th International Conference on Information Visualization Theory and Application, published with VISIGRAPP 2021, 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 210-218. Springer. 2021. https://doi.org/10.5220/0010309302100218

Kuhn, A., Sormann, C., Rossi, M., Erdler, O., and Fraundorfer, F.: DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction. 3DV 2020, International Conference on 3D Vision, pp. 404-413. IEEE. 2021. https://doi.org/10.1109/3DV50981.2020.00050

Mayrhofer, M., Mayr-Dorn, C., Guiza, O., and Egyed, A.: Dynamically Wiring CPPS Software Architectures. ICIT 2021, 22nd International Conference on Industrial Technology, pp. 1060-1067, IEEE. 2021. https://doi.org/10.1109/ICIT46573.2021.9453697

Mayrhofer, M., Mayr-Dorn, C., Guiza, O., and Egyed, A.: Model Assisted Distributed Root Cause Analysis. IEEE ETFA 2021, 26th IEEE International Conference on Emerging Technologies and Factory Automation, p. 1-8. IEEE. 2021. https://doi.org/10.1109/ETFA45728.2021.9613684

Michlmayr, S., Neumann, D., and Zagar, B.: Quality analysis for the production of pelletised materials using Fourier Descriptors. OCM 2021, 5th International Conference on Optical Characterization of Materials, pp. 153-162. KIT Scientific Publishing. 2021. http://dx.doi.org/10.5445/KSP/1000128686

Mutlu, B., Gashi, M., and Sabol, V.: Towards a Task-based Guidance in Exploratory Visual Analytics. HICSS 2021, 54th Hawaii International Conference on System Sciences, pp. 1466-1474. HICSS. 2021. http://www.doi.org/10.24251/HICSS.2021.177

Nadschläger, S., Jäger, M., Hofer, D., and Küng, J.: Placeholder constraint evaluation in simulation graphs. DEXA 2021 Workshops – Database and Expert Systems Applications, 3rd International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs2021), CCIS 1479, pp. 65-69. Springer. 2021. https://doi.org/10.1007/978-3-030-87101-7_7

Nadschläger, S., Hofer, D., Jäger, M., and Küng, J.: Data Structures for a Generic Software System using the Composite Design Pattern. EuroPLoP 21, 26th European Conference on Pattern Languages of Programs, ArticleNo. 1, pp. 1-7. ACM. 2021. https://doi.org/10.1145/3489449.3489972

Roland, W., Hammer, A., Leimhofer, C., Kapshammer, A., and Hild, S.: Application of a novel Testing Device to Characterize the Layer Adhesion of Co-extruded Polymer Sheets. DAS37, 37th Danubia-Adria Symposium on Advances in Experimental Mechanics. Book of Extended Abstracts. 2021. ISBN: 978-3-9504997-0-4. 2021

Roland, W., Stritzinger, U., Albrecht, H., and Steinbichler, G.: Modeling Fully Intermeshing Co-Rotating Twin Screw Extruder Kneading Blocks: Part B. Power Consumption and Viscous Dissipation. SPE ANTEC 2021, Society of Plastic Engineering Annual Technical Conference. SPE ANTEC. 2021.

Sormann, C., Knöbelreiter, P., Kuhn, A., Rossi, M., Pock, T., and Fraundorfer, F.: BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo. 3DV 2020, International Conference on 3D Vision, pp. 394-403. IEEE. 2021. https://doi.org/10.1109/3DV50981.2020.00049

Sormann, C., Rossi, M., Kuhn, A., and Fraundorfer, F.: IB-MVS: An Iterative Algorithm for Deep Multi-View Stereo based on Binary Decisions. BMVC 2021, 32nd British Machine Vision Conference. 2022.

Stoiber, C., Walchshofer, C., Grassinger, F., Stitz, H., Streit, M., and Aigner, W.: Design and Comparative Evaluation of Visualization Onboarding Methods. VINCI 2021, 14th International Symposium on Visual Information Communication and Interaction, ArticleNo. 11, pp. 1-5. ACM. 2021. https://doi.org/10.1145/3481549.3481558

Stritzinger, U., Roland, W., Albrecht, H., and Steinbichler, G.: Modeling Fully Intermeshing Co-Rotating Twin Screw Extruder Kneading Blocks: Part A. Conveying Characteristics. SPE ANTEC 2021, Society of Plastic Engineering Annual Technical Conference. SPE ANTEC. 2021.

Trendafilov, D., Polani, D., and Ferscha, A.: Information-theoretic cost of decision-making in joint action. ICAART 2021, 13th International Conference on Agents and Artificial Intelligence, pp. 304-311. Springer. 2021. https://www.doi.org/10.5220/0010252303040311

Zia, K., Farooq, U., and Ferscha, A.: When the Wisdom of Crowd is Able to Overturn an Unpopular Norm? Lessons Learned from an Agent-Based Simulation. ACM SIGSIM-PADS 2021, Conference on Principles of Advanced Discrete Simulation, pp. 69-79. ACM. 2021. https://doi.org/10.1145/3437959.3459248

Talks & Presentations

Bleicher F., Ferscha A., Haas F., Holzer C., Ramsauer C., Schledjewski R., Schlund S., Sommitsch C., Stockinger M., Otto A., Vössner S., and Zeman K.: ÖWGP Positionspapier 2021, in ÖWGP Österreichische Wissenschaftliche Gesellschaft für Produktionstechnik, 2021.

Ferscha, A.: Kognitive Industriesysteme. UAR Innovation Network 360°. Linz/online, Austria. 2021

Ferscha, A.: Cognitive Wearables: Embedded AI Systems Assisting Workers. Millenium Innovation Days 2021. Lustenau, Austria. 2021

Ferscha, A.: Cognitive Systems. Keynote Doctoral Colloqium of the LMU München Medieninformatik. Venice, Italy. 2021

Ferscha, A.: Cognitive Products. Kurzvortrag Besuch Wissenschaftsdelegation Aachen. JKU Linz, Austria. 2021.

Ferscha, A.: Kognitive Industriesysteme. Werkstoffworkshop European Forum Alpbach. Alpbach, Austria. 2021

Stritzinger, A.: Application of Hybrid Modelling in Polymer Processing – Twin-Screw Extrusion. Digi Tea(m) Time | JKU Linz, Austria. 2021

Bookchapters

Kolar, B., Gehring, N., and Schöberl, M.: On the Calculation of Differential Parametrizations for the Feedforward Control of an Euler-Bernoulli Beam. Journal Dynamics and Control of Advanced Structures and Machines. Advanced Structured Materials, Volume 156. Springer. 2021. https://doi.org/10.1007/978-3-030-79325-8_11

Technical Reports, Patents & Posters

Abdul Hadi, M., Wuwer, M., and Brillinger, M.: Obstaining SUSTAINABILITY through Energy Peak Optimization in NC Machines. Poster @ WSED 2021, World Sustainable Energy Days 2021.

Ember, E., Diwold, K., Römer, K., Boano, C.A., Schuß, M., Frischenschlager, A., and Einfalt, A.: Communication Failover Strategies for Dependable Smart Grid Operation. Poster @ EWSN 2021, International Conference on Embedded Wireless Systems and Networks, pp. 165-166. ACM. 2021. https://dl.acm.org/doi/10.5555/3451271.3451287

Kajmakovic, A., Manfredi, S., Brillinger, M., and Leder, D.: IOT as enabler of workers’ stress detection in manufacturing systems of the future. Poster @ ACM IoT 2021, 11th International Conference on the Internet of Things, pp. 196-199. ACM. 2021. https://doi.org/10.1145/3494322.3494349

Kraus, D., Diwold, K., and Leitgeb, E.: RSSI-based antenna evaluation for robust BLE communication in in-car environments. Poster @ EWSN 2021, International Conference on Embedded Wireless Systems and Networks, pp. 167-168. ACM. 2021. https://dl.acm.org/doi/10.5555/3451271.3451288

Roland, W., Hammer, A., Leimhofer, C., Kapshammer, A., and Hild, S.: Application of a novel Testing Device to Characterize the Layer Adhesion of Co-extruded Polymer Sheets. Poster @ DAS37, 37th Danubia-Adria Symposium on Advances in Experimental Mechanics. 2021.

Salomon, E., Happ-Botler, L., Diwold, K., Boano, C.A., and Römer, K.: Comparison of Channel State Information driven and RSSI-based WiFi Distance Estimation. Poster @ EWSN 2021, International Conference on Embedded Wireless Systems and Networks, pp. 173-174. ACM. 2021. https://dl.acm.org/doi/10.5555/3451271.3451291

Sopidis, G., Abdelrahman, A., Haslgrübler, M., and Ferscha, A.: Micro-Activities Recognition and Macro Worksteps Classification for Industrial IoT Processes. Poster @ ACM IoT 2021, 11th International Conference on the Internet of Things, pp. 126-133. ACM. 2021. https://doi.org/10.1145/3494322.3494356

Awards & Honors

Kajmakovic, A.: Best Poster Award “IOT as enabler of workers’ stress detection in manufacturing systems of the future“. IoT 2021.

Roland, W.: Best Paper Award “Modeling Fully Intermeshing Co-Rotating Twin Screw Extruder Kneading Blocks: Part B. Power Consumption and Viscous Dissipation“. SPE ANTEC 2021.

Salomon, E.: Best Poster Award “Comparison of Channel State Information driven and RSSI-based WiFi Distance Estimation“. EWSN 2021.

Sopidis, G.: Best Poster Award “Micro-Activities Recognition and Macro Worksteps Classification for Industrial IoT Processes“. IoT 2021.

Finished PhD Theses

Shao, Lin: Interactive Visual Analysis and Guidance Methods for Discovering Patterns in High-Dimensional Data

Rathner, Raffael: The Influence of Shear and Elongation Forces in Extrusion Processes

Finished Master Theses

Laube, Markus: Skill Level Detection of Welder on IMU Data

Fleischhacker, Philipp: Validation of Feature Models using Semantic Web Technologies

Salomon, Elisabeth: WiFi-based Distance Estimation using the Channel State Information

Bichler, Stefan: Passive Engineering Process Management Framework

Leder, Dominik: Concept Development and Evaluation of Semi-Automated Riveting Processes

Finished Bachelor Theses

Paar, Mathias: Drehmomentmessung schnelldrehender Systems

Krizic, Mario: C2Akka: Leveraging Actors in Component Based Architectures

Amsüss, Philipp: Experimentelle Untersuchungen am unterfütterten Einschneckenextruder

Greben, Matthias: Signalmonitoring Concept for IO Module Development

Pereszteghy, Benno: Integration von Funktionstracing in OPC-UA

Vergreiner, Bernhard: Safety monitor for the Flash ECC controller in a STM32L4 Application

Morawec, Marie: Versuche an genuteten Einschneckenextrudern mit verschiedenen Barriereschnecken