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Projects / Programmes source: ARIS

Sinergetika kompleksnih sistemov in procesov (Slovene)

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Periods
January 1, 2009 - December 31, 2014
Research activity

Code Science Field Subfield
2.21.00  Engineering sciences and technologies  Technology driven physics   

Code Science Field
2.11  Engineering and Technology  Other engineering and technologies 
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (13)
no. Code Name and surname Research area Role Period No. of publications
1.  15839  PhD Anamarija Borštnik Bračič  Mathematics  Researcher  2009 - 2013  0 
2.  02272  PhD Andrej Dobnikar  Computer science and informatics  Researcher  2009 - 2014  0 
3.  08782  PhD Edvard Govekar  Manufacturing technologies and systems  Head  2009 - 2014  0 
4.  00800  PhD Igor Grabec  Computer science and informatics  Researcher  2009 - 2011  8 
5.  18081  PhD Janez Gradišek  Mechanical design  Researcher  2009 - 2012  0 
6.  20270  PhD Andrej Jeromen  Computer science and informatics  Researcher  2009 - 2014  0 
7.  32085  PhD Blaž Krese  Computer intensive methods and applications  Researcher  2009 - 2014  0 
8.  34409  PhD Alexander Kuznetsov  Technology driven physics  Junior researcher  2011 - 2014  0 
9.  16109  PhD Uroš Lotrič  Computer science and informatics  Researcher  2009 - 2014  0 
10.  09002  Peter Mužič  Manufacturing technologies and systems  Technical associate  2009 - 2014  0 
11.  15107  PhD Primož Potočnik  Computer science and informatics  Researcher  2009 - 2014  0 
12.  14300  PhD Branko Šter  Computer science and informatics  Researcher  2009 - 2014  0 
13.  28362  PhD Jernej Zupanc  Interdisciplinary research  Junior researcher  2009 - 2011  0 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0782  University of Ljubljana, Faculty of Mechanical Engineering  Ljubljana  1627031  0 
2.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  0 
Significance for science
The main focus of the research is on development and application of synergetic methods in order to describe complex technological processes with the aim of contributing to the understanding and description of physical properties, dynamics and causes of complexity of technological processes. The proposed research program significantly contributes to further establish synergetic methods as a successful scientific approach, thus connecting the fields of physics, probability and statistics, informatics, advanced research methods of complex systems, and technical sciences in terms of theoretical and experimental treatment of complex systems and processes. The latter is of paramount importance in understanding of physical properties, in modelling of dynamic processes, and in understanding of causes of complexity of technological processes, as well as for the development of new advanced technological processes. Thus we actively contribute to the advancement of science in the field of description, characterisation and modelling of dynamics of complex technological processes. Within the context of the proposed research, the instability of manufacturing processes is considered. Investigations of band saw cutting process instabilities, and laser droplet generation and deposition and annular laser beam material processing have been in focus. The results have revealed new development of science in the field of band sawing stability, annular laser beam matter interactions and material processing, as well as in the field of droplet based manufacturing technologies - including new technologies for droplet based micro-joining and 3D additive manufacturing. In the field of the research of predictive methods for the analysis and prediction of time series and fields, we contribute to the development of specific methods for target application domains, thereby contributing to the development of science both in terms of the basic development of methods, as well as in terms of the application of developed methods and models to the target domain areas. Here it is to emphasize the synergetic treatment by combining and connecting various methods into uniform functional predictive systems in the field of complex energetic, business and traffic systems and processes. The selection of relevant features in the data based on generalized information-theoretical measures and data clustering based on ensembles is, due to the promising results obtained, increasingly popular, especially in the case of large data sets. In relation to this, a significant contribution in establishment of the relations and organization of complex data have been achieved based on a novel method for image segmentation using Markov random fields and novel clustering algorithm using Kohonen’s self-organizing map and gravitational algorithm. Within the context of the research and development of methods for multisensory data processing and intelligent adaptronic systems for monitoring, modelling, optimization and control of complex processes, and of methods for non-destructive testing and characterization of loaded materials and products, we contribute to the development of science in the field of advanced signal processing methods for the application to diagnostics of industrial processes and products based on neural networks and modern learning systems. The results were contributed also in the field of development and application of advanced nonlinear features of sensory data, and in the field of multiple sensor data fusion, which is highly important in the development of adaptive systems for monitoring, diagnostics and control of complex systems and processes.
Significance for the country
Based on the results of research program, the improvement and optimization of existing technologies and methods, as well as the development of new approaches with the possibility of direct implementation in a variety of industries have been proposed, which was confirmed by extensive collaboration with industrial partners. The results of the research contribute to practical aspects of the application of knowledge in treatment of complex systems and processes, as well as to the transfer of knowledge to engineering sciences. Within the context of attending professional meetings, and especially through intensive cooperation with partners in Slovenian industry, we contribute to the transfer of the results of the research program to professional and industrial environments. Knowledge learned through the methods of synergetics is, in collaboration with industrial partners, included in the development of adaptronic systems for automated condition monitoring of production processes, for the development of systems for forecasting, predictive control and optimization of processes, and for the optimization of existing and development of new technologies, processes and manufacturing procedures. Thus the developed synergetic approaches and technological methods are introduced into technical and engineering environments in order to solve complex technological problems and to improve the quality control of manufacturing processes and products, thereby contributing to the development of the profession and of engineering practice. The results of research that include the development of predictive methods for the analysis and prediction of time series and fields, the development of multisensory data processing methods and intelligent adaptronic systems for monitoring, modelling, optimization and control of complex processes, and methods for the non-destructive testing and characterization of loaded materials and products, are directly aimed at the monitoring and improving of the quality of products, technological and industrial processes. Our investigations and applications of forecasting methods in the development of systems for the prediction and optimization of states of complex energetic, traffic and business systems, which are essential for the consistent and sustainable development of society, need to be emphasized. Based on the results of the investigation of predictive methods, a modular and general system for short-term forecasting of natural gas consumption has been developed which enables relatively fast adaptation to other forecasting fields (heat consumption in district heating, inventory management systems). Herewith we contribute to the success and competitiveness of enterprises in demanding modern business conditions. Research of synergetics, which includes the research of instability of technological processes and the development of new methods for annular laser material processing, including technology for the generation and deposition of metal droplets, represents high business potential in the field of implementation of complex lead-free micro-joints, fulfilling demanding temperature, corrosion, mechanical and environmental requirements as well as other droplet based additive technologies. Research and development of annular laser and droplet based micro joining technologies and 3D structuring represents a significant development potential for electrical and electronics industries, and aircraft and aerospace industry, as well as for companies which produce functionally demanding components. By using this knowledge, we introduce into the domestic and international industrial environment new scientifically-based methods for the treatment and improvement of technological processes and products, thus contributing to the international competitiveness of Slovenian and European industry.
Most important scientific results Annual report 2009, 2010, 2011, 2012, 2013, final report, complete report on dLib.si
Most important socioeconomically and culturally relevant results Annual report 2009, 2010, 2011, 2012, 2013, final report, complete report on dLib.si
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