1. PhD. thesis: Big Data analytics: use of Data Mining prediction methods and techniques to knowledge discovery from databases for process control needs
Supervisor: Prof. Ing. Pavol Tanuška, PhD, pavol.tanuska@stuba.sk
Anotation: Due to the large amount of data processed, it is necessary to look for efficient approaches of obtaining data useful for real-time control. The dissertation thesis is focused on area of Big Data for industry. The main aim of dissertation thesis is designing of models enabling data mining using neural networks and other prediction methods and techniques. The gained knowledge will be interpreted to help improve the key process control parameters.
Characteristics of supervisor: Pavol Tanuska, (Member IACSIT 2009, IEEE 2010, IAENG 2010) received his PhD degree in 2000; since 2013 he is the Professor in Institute of Applied Informatics, Automation and Mechatronics at the Slovak University of Technology, Trnava, Slovakia.
His research and development activities include the field of Big Data, especially data collection, processing and analysis of an extremely large amount of data in order to knowledge discovery for the needs of production systems control.
He has published over 200 scientific and technical papers in national and international conference proceedings and journals.
- Citations in Web of Science and SCOPUS: 110
- Scientific papers in Web of Science a SCOPUS: 65
- Scientific papers in Current Contens: 7
- Several requested lectures at foreign universities and institutions (Germany, Belgium)
He has participated in many major engineering projects for industrial companies.
He has been involved in several scientific and research projects and grants for VEGA, KEGA and APVV agencies, as well as for DAAD (Germany).
The most important publications of supervisor:
- VRÁBEĽ, Róbert - ABAS, Marcel - TANUŠKA, Pavol - VAŽAN, Pavel - KEBÍSEK, Michal - ELIÁŠ, Michal - ŠUTOVÁ, Zuzana - PAVLIAK, Dušan. Mathematical approach to security risk assessment. In Mathematical Problems in Engineering. Volume 2015, (2015), ISSN 1024-123X. In database: MLJ; SCOPUS; WOS; DOI: DOI: 10.1155/2015/417597.
- VAŽAN, Pavel - JANÍKOVÁ, Dominika - TANUŠKA, Pavol - KEBÍSEK, Michal - ČERVEŇANSKÁ, Zuzana. Using data mining methods for manufacturing process control. In IFAC-PapersOnLine. Vol. 50, 20th World congress on the International Federation of Automatic Control. Toulouse, France. July 9-14, 2017 (2017), pp. 6352-6357. ISSN 2405-8963. In database: SCOPUS: DOI: 10.1016/j.ifacol.2017.08.986; WOS.
- KEBÍSEK, Michal - ŠPENDLA, Lukáš - TANUŠKA, Pavol. Analysis of temperature impact on production process with focus on data integration and transformation. In Software engineering trends and techniques in intelligent systems: proceedings of the 6th Computer Science on-line conference 2017 (CSOC 2017), Prague, Czech Republic, 26. - 29. 04. 2017. Vol. 3. 1.Cham: Springer International Publishing AG, 2017, ISSN 2194-5357. ISBN 978-3-319-57140-9. In database: SCOPUS: DOI: 10.1007/978-3-319-57141-6_34; WOS.
- ŠPENDLA, Lukáš - KEBÍSEK, Michal - TANUŠKA, Pavol - HRČKA, Lukáš. Concept of predictive maintenance of production systems in accordance with Industry 4.0. In SAMI 2017: IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, January, 26-28, 2017, Herľany, Slovakia. 1. vyd: IEEE, 2017, CD-ROM, s. 000405-000409. ISBN 978-1-5090-5654-5. In database: SCOPUS: DOI: 10.1109/SAMI.2017.7880343; WOS.
More information https://is.stuba.sk/pracoviste/prehled_temat.pl?detail=81072;pracoviste=60
Institute: Institute of Applied Informatics, Automation and Mechatronics
Study program: Process Automation and Informatization
2. PhD. thesis: Usage of Big Data in the complex processes control of industrial companies
Supervisor: Doc. Ing. Michal Kebisek, PhD., michal.kebisek@stuba.sk
Anotation: The Industry 4.0 concept includes components that are designed to interconnect machines, devices, enterprise applications, or entire production lines. It also includes tools for collecting and storing large volumes of data, which brings a new possibilities for control, usage and management of production processes. The main topic of dissertation thesis will be proposal of analytic platform to collect, process and analyse big volumes of structured and unstructured data for process control. Hadoop, NoSQL technologies and Internet of Things will be employed to allow Big Data analytics to be effectively used. Proposed analytic platform, utilising statistical and inductive learning techniques, e.g. neural networks, decision trees, cluster analysis, etc., will provide possibilities for discovering new, potentially useful knowledge from the data, for complex process control of industrial companies.
Characteristics of supervisor: Data Mining, Big Data, Database Design, Computer Integrated Manufacturing – collecting, processing and analysing of structured and unstructured data with focus on knowledge discovery in production process control.
The most important publications of supervisor:
- VRÁBEĽ, Róbert - ABAS, Marcel - KOPČEK, Michal - KEBÍSEK, Michal. Active Control of Oscillation Patterns in the Presence of Multiarmed Pitchfork Structure of the Critical Manifold of Singularly Perturbed System. In Mathematical Problems in Engineering. Vol. 2013 (2013), s.online, ISSN 1024-123X (2013: 1.082 - IF). In database: SCOPUS; WOS.
- VRÁBEĽ, Róbert - ABAS, Marcel - TANUŠKA, Pavol - VAŽAN, Pavel - KEBÍSEK, Michal - ELIÁŠ, Michal - ŠUTOVÁ, Zuzana - PAVLIAK, Dušan. Mathematical approach to security risk assessment. In Mathematical Problems in Engineering. Volume 2015, (2015), ISSN 1024-123X. In database: MLJ; SCOPUS; WOS; DOI: DOI: 10.1155/2015/417597.
- VAŽAN, Pavel - JANÍKOVÁ, Dominika - TANUŠKA, Pavol - KEBÍSEK, Michal - ČERVEŇANSKÁ, Zuzana. Using data mining methods for manufacturing process control. In IFAC-PapersOnLine. Vol. 50, 20th World congress on the International Federation of Automatic Control. Toulouse, France. July 9-14, 2017 (2017), pp. 6352-6357. ISSN 2405-8963. In database: SCOPUS: DOI: 10.1016/j.ifacol.2017.08.986; WOS.
- KEBÍSEK, Michal - ŠPENDLA, Lukáš - TANUŠKA, Pavol. Analysis of temperature impact on production process with focus on data integration and transformation. In Software engineering trends and techniques in intelligent systems: proceedings of the 6th Computer Science on-line conference 2017 (CSOC 2017), Prague, Czech Republic, 26. - 29. 04. 2017. Vol. 3. 1.Cham: Springer International Publishing AG, 2017, ISSN 2194-5357. ISBN 978-3-319-57140-9. In database: SCOPUS: DOI: 10.1007/978-3-319-57141-6_34; WOS.
- ŠPENDLA, Lukáš - KEBÍSEK, Michal - TANUŠKA, Pavol - HRČKA, Lukáš. Concept of predictive maintenance of production systems in accordance with Industry 4.0. In SAMI 2017: IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, January, 26-28, 2017, Herľany, Slovakia. 1. vyd: IEEE, 2017, CD-ROM, s. 000405-000409. ISBN 978-1-5090-5654-5. In database: SCOPUS: DOI: 10.1109/SAMI.2017.7880343; WOS.
More information https://is.stuba.sk/pracoviste/prehled_temat.pl?detail=81112;pracoviste=60
Institute: Institute of Applied Informatics, Automation and Mechatronics
Study program: Process Automation and Informatization, Modeling and Simulation of Processes
3. PhD. thesis: Modelling, simulation and stabilization of mechanical systems
Supervisor: Doc. Mgr. Róbert Vrábeľ, PhD., robert.vrabel@stuba.sk
Anotation: The aim of the dissertation thesis will be to derive and analyse mathematical models of dynamical systems described by using Euler-Lagrange formalism (overhead cranes, robotic arms, etc.). Their controllability, observability and asymptotic stabilization in the MATLAB environment will be investigated and the possibility of creating a general software application for this type of problems.
Characteristics of supervisor: Róbert Vrábeľ is an associate professor in the Institute of Applied Informatics, Automation and Mechatronics of Faculty of Materials Science and Technology in Trnava. He works in the areas of Applied Mathematical Analysis and Dynamical Systems. His research interests include Qualitative Analysis of Ordinary Differential Equations, Modeling and Simulation, and Nonlinear Control.
The most important publications of supervisor:
- Logarithmic norm-based analysis of robust asymptotic stability of nonlinear dynamical systems, By: Vrabel, R., COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION Volume: 80 Article Number: UNSP 104957 Published: JAN 2020
- Stabilisation and state trajectory tracking problem for nonlinear control systems in the presence of disturbances, By: Vrabel, R., INTERNATIONAL JOURNAL OF CONTROL Volume: 92 Issue: 3 Pages: 540-548 Published: MAR 4 2019
- Eigenvalue Based Approach for Assessment of Global Robustness of Nonlinear Dynamical Systems, By: Vrabel, Robert, SYMMETRY-BASEL Volume: 11 Issue: 4 Article Number: 569 Published: APR 2019
- On local asymptotic stabilization of the nonlinear systems with time-varying perturbations by state-feedback control, By: Vrabel, Robert, INTERNATIONAL JOURNAL OF GENERAL SYSTEMS Volume: 48 Issue: 1 Pages: 80-89 Published: JAN 2 2019
- Local null controllability of the control-affine nonlinear systems with time-varying disturbances, By: Vrabel, Robert, EUROPEAN JOURNAL OF CONTROL Volume: 40 Pages: 80-86 Published: MAR 2018
More information https://is.stuba.sk/pracoviste/prehled_temat.pl?detail=81204;pracoviste=60
Institute: Institute of Applied Informatics, Automation and Mechatronics
Study program: Process Automation and Informatization, Modeling and Simulation of Processes
4. PhD. thesis: Proactive simulation in production system control
Supervisor: Prof. Ing. Pavel Važan. PhD., pavel.vazan@stuba.sk
Anotation: The objective of the thesis will be to use the concept of a digital twin and to propose a proactive way to control of the production system at MES level. It will be necessary to resolve the system of data acquisition from an existing production process that will be used in simulations to verify the achievement of the objectives of the production plan. The simulation results allow to review the control and the necessary data will be sent back to the MES to update the production process. From the point of view of the operational level of management, the result of the work will be the usage of on-line simulation in production control.
Characteristics of supervisor: Professor in Institute of Applied Informatics, Automation and Mechatronics at the Slovak University of Technology, Trnava, Slovakia. His pedagogical and scientific research orientation is focused on: Systems Modelling and Simulation, Process Optimization, Production System Control, Data Mining.
The most important publications of supervisor:
- VAŽAN, Pavel - JANÍKOVÁ, Dominika - TANUŠKA, Pavol - KEBÍSEK, Michal - ČERVEŇANSKÁ, Zuzana. Using data mining methods for manufacturing process control. In IFAC-PapersOnLine. Vol. 50, 20th World congress on the International Federation of Automatic Control. Toulouse, France. July 9-14, 2017 (2017), s. 6352-6357. ISSN 2405-8963. IN: SCOPUS: DOI: 10.1016/j.ifacol.2017.08.986 ..
- SCHREIBER, Peter - TANUŠKA, Pavol - VRÁBEĽ, Róbert - VAŽAN, Pavel. A Heat Transfer Approach to the Calculation of Residual Power of Used Nuclear Fuel. In Nuclear Technology. Vol. 185, No 2 (2014), s. 208-215. ISSN 0029-5450. IN: CC, Web of Science, Master Journal List, Scopus (kategória A)
- VAŽAN, Pavel - ČERVEŇANSKÁ, Zuzana. Comparison of the Scalarization Approaches in Many-Objective Simulation-Based Optimization in Production System Control. In CSIT 2018 : 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT2018), 11-14 September 2018, Lviv, Ukraine. 1. vyd. Lviv : Veža i Ko, 2018, S. 56-59. ISBN 978-1-5386-6463-6. In: IEEE ; SCOPUS: 2-s2.0-85058036934 ; WOS: 000456268700020.
- VRÁBEĽ, Róbert - ABAS, Marcel - TANUŠKA, Pavol - VAŽAN, Pavel - KEBÍSEK, Michal - ELIÁŠ, Michal - ŠUTOVÁ, Zuzana - PAVLIAK, Dušan. Mathematical approach to security risk assessment. In Mathematical Problems in Engineering. Volume 2015, (2015), [11] s. ISSN 1024-123X. In: MLJ ; SCOPUS ; WOS ; DOI: DOI: 10.1155/2015/417597.
- VAŽAN, Pavel. The Application of Simulation Methods in Manufacturing System Control. 2nd rev. ed. Köthen : Hochschule Anhalt, 2013. 144 s. Scientific monograph: <https://is.stuba.sk/vv/pub_priloha.pl?id=273983>. ISBN 978-3-86011-061-4.
More information https://is.stuba.sk/pracoviste/prehled_temat.pl?detail=81203;pracoviste=60
Institute: Institute of Applied Informatics, Automation and Mechatronics
Study program: Process Automation and Informatization, Modeling and Simulation of Processes
5. PhD. thesis: Deep learning in Industry 4.0
Supervisor: Doc. Ing. Peter Schreiber, CSc., peter.schreiber@stuba.sk
Anotation: The goal of this thesis is to document and comment a deep learning (DL) and a concept of Industry 4.0, to find common points of this areas and possibilities of using DL in Industry 4.0. A pilot solution of chosen task will be required.
Characteristics of supervisor: Associate professor in Institute of Applied Informatics, Automation and Mechatronics at the Slovak University of Technology, Trnava, Slovakia. His pedagogical and scientific research orientation is focused on: intelligent control methods, Neural networks and genetic algorithms, Artificial intelligence.
The most important publications of supervisor:
- ZAHRADNÍKOVÁ, Barbora - DUCHOVIČOVÁ, Soňa - SCHREIBER, Peter. Facial composite systems: review. In Artificial Intelligence Review. Vol. 49, iss.1 (2018), s. 131-152. ISSN 0269-2821 (2018: 5.095 - IF, Q1 - JCR Best Q, 1.055 - SJR, Q1 - SJR Best Q). In: CC: 000422667300006 ; DOI: 10.1007/s10462-016-9519-1 ; WOS ; SCOPUS ; MLJ.
- ZAHRADNÍKOVÁ, Barbora - DUCHOVIČOVÁ, Soňa - SCHREIBER, Peter. Generating facial composites from principal components. In 2015 IACSIT Barcelona Conferences [elektronický zdroj] : Selected, peer reviewed papers from 2015 The 3rd International conference on Control, Mechatronics and Automation, 2015 International conference on Information and Multimedia Technology, 2015 International conference on Frontiers of Signal Processing. December 21-22 in Barcelona, Spain. [b.m] : IACSIT, 2015, CD-ROM, [5]s. In: DOI: http://dx.doi.org/10.1051/matecconf/20164204006 ; WOS: WOS:000372745100036 ; SCOPUS.
- ZAHRADNÍKOVÁ, Barbora - ŠUTOVÁ, Zuzana - SCHREIBER, Peter. Interactive evolution of facial composites. In IFAC-PapersOnLine. Vol. 50, 20th World congress on the International Federation of Automatic Control. Toulouse, France. July 9-14, 2017 (2017), s. 12278-12283. ISSN 2405-8963 (2017: 0.260 - SJR, Q3 - SJR Best Q). In: WOS: WOS:000423965100448 ; SCOPUS.
- LIBOŠVÁROVÁ, Adriána - SCHREIBER, Peter - ŠPENDLA, Lukáš. Optimizing technical system from the safety and economic aspect by genetic algorithms. In INES 2017 [electronic source] : 21st IEEE International Conference on Intelligent Engineering Systems. October 20-23, 2017, Larnaca, Cyprus. 1. vyd : IEEE, 2017, USB key, s. 000175-000180. ISBN 978-1-4799-7678-2. In: WOS: WOS:000418333800030 ; SCOPUS.
- IRING, Peter - SCHREIBER, Peter. Use of sigmoid functions in genetic algorithms for velocity profile optimization of mobile robot. In Proceedings of the IEEE 19th International Conference on Intelligent Engineering Systems, September 3-5, 2015, Bratislava [elektronic source] : INES 2015. 1. ed. [s.l.] : IEEE, 2015, USB, s. 201-206. ISBN 978-1-4673-7938-0. In: SCOPUS: DOI: 10.1109/INES.2015.7329707 ; WOS.
More information https://is.stuba.sk/pracoviste/prehled_temat.pl?detail=81451;pracoviste=60
Institute: Institute of Applied Informatics, Automation and Mechatronics
Study program: Process Automation and Informatization