Software Technologie und Anwendungen Research Center Hagenberg
Publikationen
Extended Regression Models for Predicting the Pumping Capability and Viscous Dissipation of Two-Dimensional Flows in Single-Screw Extrusion
W. Roland, M. Kommenda, C. Marschik, J. Miethlinger - Extended Regression Models for Predicting the Pumping Capability and Viscous Dissipation of Two-Dimensional Flows in Single-Screw Extrusion - Polymers, Vol. 11, No. 2, 2019
Generally, numerical methods are required to model the non-Newtonian flow of polymer melts in single-screw extruders. Existing approximation equations for…
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New Approaches for Equalizing the Granulate Size and Bulk Density in Mechanical Recycling Using Heuristic Approaches Based on Specific Data Analyses
M. Aigner, L. Kammerer, F. Schieder, G. K. Kronberger - New Approaches for Equalizing the Granulate Size and Bulk Density in Mechanical Recycling Using Heuristic Approaches Based on Specific Data Analyses - Proceedings of SPE ANTEC 2019, Detroit, Vereinigte Staaten von Amerika, 2019, pp. 1-7
Exactly defined and constant granulates become more and more important in recycling business. The material is very often mixed with virgin granulate, sold on…
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Analyzing the potential of Virtual Reality for engineering design review
J. Wolfartsberger - Analyzing the potential of Virtual Reality for engineering design review - Automation in Construction, 2019, pp. 27-37
Lost in Translation: Machine Translation and Text-To-Speech in Industry 4.0
J. D. Hallewell Haslwanter, M. Heiml, J. Wolfartsberger - Lost in Translation: Machine Translation and Text-To-Speech in Industry 4.0 - Proceedings of the 12th PErvasive Technologies Related to Assistive Environments Conference, Rhodos, Griechenland, 2019, pp. 10
Small lot sizes are becoming more common in modern manufacturing. Rather than automate every possible product variant, companies may rely on manual assembly to…
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Local Optimization and Complexity Control for Symbolic Regression
M. Kommenda - Local Optimization and Complexity Control for Symbolic Regression - Phd Thesis, Johannes Kepler Universität, Österreich, 2018, pp. 1-157
Symbolische Regression ist ein datenbasiertes, maschinelles Lernverfahren bei dem Vorhersagemodelle in Form mathematischer Ausdrücke ohne vorgegebener…
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Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems
G. K. Kronberger, M. Kommenda, E. Lughofer, S. Saminger-Platz, A. Promberger, F. Nickel, S. M. Winkler, M. Affenzeller - Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems - Applied Soft Computing, 2018, pp. 610-624
Tribological systems are mechanical systems that rely on friction to transmit forces. The design and dimensioning of such systems requires prediction of…
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Schema Analysis in Tree-based Genetic Programming
B. Burlacu, M. Affenzeller, M. Kommenda, G. K. Kronberger, S. M. Winkler - Schema Analysis in Tree-based Genetic Programming in Genetic Programming in Theory and Practice XV (Contributions to Book: Part/Chapter/Section 2), - Springer International Publishing, 2018, pp. 17-37
In this chapter we adopt the concept of schemata from schema theory and use it to analyze population dynamics in genetic programming for symbolic regression.…
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Schema-based Diversification in Genetic Programming
B. Burlacu, M. Affenzeller - Schema-based Diversification in Genetic Programming - GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, Kyoto, Japan, Japan, 2018, pp. 1111-1118
In genetic programming (GP), population diversity represents a key aspect of evolutionary search and a major factor in algorithm performance. In this paper we…
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Novel Robustness Measures for Engineering Design Optimisation
P. Fleck, M. Kommenda, T. Prante, M. Affenzeller - Novel Robustness Measures for Engineering Design Optimisation - International Journal of Simulation and Process Modelling, Vol. 13, No. 4, 2018
This paper presents novel robustness measures to analyse and compare the robustness of solutions for constrained optimisation problems in the field of…
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Key factors in the engineering process for systems for aging in place contributing to low usability and success
J. D. Hallewell Haslwanter, G. Fitzpatrick, K. Miesenberger - Key factors in the engineering process for systems for aging in place contributing to low usability and success - Journal of Enabling Technologies, Vol. 12, No. 4, 2018, pp. 11
Purpose – Digital systems for independent aging, support and care are not being adopted as hoped. This paper examined the results of three studies to derive…
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Experiences with an Assistive System for Manual Assembly
J. D. Hallewell Haslwanter, B. Blazevski - Experiences with an Assistive System for Manual Assembly - Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Griechenland, 2018, pp. 46-49
Small lot sizes in modern manufacturing present new challenges for people doing complex manual assembly tasks, as every item produced may be different.…
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Supporting the Development of Assistive Systems for Older People
J. D. Hallewell Haslwanter, M. Garschall - Supporting the Development of Assistive Systems for Older People - Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Griechenland, 2018, pp. 287-288
Assistive technologies to support aging in place are being widely promoted due to changing demographics. Although much time and money has been invested in the…
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Co-smonauts: Game Interfaces for Elderly People in Co-located and Collaborative Play
F. Gattringer, B. Stiglbauer, M. Rührlinger, M. Lankes, J. Hagler - Co-smonauts: Game Interfaces for Elderly People in Co-located and Collaborative Play - CGAT 2018, Singapore, Singapur, 2018, pp. 8-14
This paper illustrates the impact of different game interface approaches for older persons in a collaborative and co-located setting. Concretely, we…
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Review of Telecare Technologies for Older People
J. D. Hallewell Haslwanter - Review of Telecare Technologies for Older People - Computers Helping People with Special Needs: 16th International Conference, ICCHP 2018, Linz, Austria, July 11-13, 2018, Proceedings, Part II, Linz, Österreich, 2018, pp. 407-415
This paper reviews technology to support aging in place. Although the populations in many countries are aging and various funding programmes have supported…
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TOWARDS RETOOLING THE MICROSOFT HOLOLENS AS OUTDOOR AR AND MR DEVICE
C. Praschl, O. Krauss, G. Zwettler - TOWARDS RETOOLING THE MICROSOFT HOLOLENS AS OUTDOOR AR AND MR DEVICE - Proceedings of the 30th European Modeling and Simulation Symposium EMSS2018, Budapest, Hungary, Ungarn, 2018, pp. 126-135
Diese wissenschaftliche Arbeit beschäftigt sich mit generischen Ansätzen für die Ermittlung der außerräumlichen Position und Orientierung eines Augmented…
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Modeling Sensor Networks for Predictive Maintenance
J. Zenisek, J. Wolfartsberger, C. Sievi, M. Affenzeller - Modeling Sensor Networks for Predictive Maintenance - On The Move to Meaningful Internet Systems: OTM 2018 Workshops (Lecture Notes in Computer Science, LNCS 11231), Valletta, Malta, 2018, pp. 184-188
Predictive Maintenance is one of the most intensively investigated topics in the current Industry 4.0 movement. It aims at scheduling maintenance actions based…
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Teaching Better Requirements Engineering Using LEGO® Serious Play™
H. Mayr - Teaching Better Requirements Engineering Using LEGO® Serious Play™ - Proc. 9th Intl. Conf. on Society and Information Technologies (ICSIT 2018), Orlando, Vereinigte Staaten von Amerika, 2018, pp. 126-131
CharmeRT: Boosting Peptide Identifications by Chimeric Spectra Identification and Retention Time Prediction
V. Dorfer, S. Maltsev, S. M. Winkler, K. Mechtler - CharmeRT: Boosting Peptide Identifications by Chimeric Spectra Identification and Retention Time Prediction - Journal of Proteome Research, 2018, pp. 2581-2589
Coeluting peptides are still a major challenge for the identification and validation of MS/MS spectra, but carry great potential. To tackle these problems, we…
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Proceedings of the EuBIC developer's meeting 2018
S. Willems, D. Bouyssie, D. Deforce, V. Dorfer, V. Gorshkov, D. Kopczynski, K. Laukens, M. Locard-Paulet, V. Schwämmle, J. Uszkoreit, D. Valkenborg, M. Vaudel, W. Bittremieux - Proceedings of the EuBIC developer's meeting 2018 - Journal of Proteomics, 2018, pp. 25-27
The inaugural European Bioinformatics Community (EuBIC) developer's meeting was held from January 9th to January 12th 2018 in Ghent, Belgium. While the meeting…
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Expanding the Use of Spectral Libraries in Proteomics
E. W. Deutsch, Y. Perez-Riverol, R. J. Chalkley, M. Wilhelm, S. Tate, T. Sachsenberg, M. Walzer, L. Käll, B. Delanghe, S. Böcker, E. L. Schymanski, P. Wilmes, V. Dorfer, B. Küster, P. Volders, N. Jehmlich, J. Vissers, D. W. Wolan, A. Y. Wang, L. Mendoza, J. Shofstahl, A. W. Dowsey, J. Griss, R. Salek, S. Neumann, P. Binz, H. Lam, J. Vizcaíno, N. Bandeira, H. Röst - Expanding the Use of Spectral Libraries in Proteomics - Journal of Proteome Research, 2018, pp. 4051-4060
The 2017 Dagstuhl Seminar on Computational Proteomics provided an opportunity for a broad discussion on the current state and future directions of the…
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Sensor-based Modeling of Radial Fans
F. Holzinger, M. Kommenda, E. Strumpf, J. Langer, J. Zenisek, M. Affenzeller - Sensor-based Modeling of Radial Fans - Proceedings of the 30th European Modeling and Simulation Symposium EMSS2018, Budapest, Hungary, Ungarn, 2018, pp. 322-330
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