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Projects / Programmes source: ARIS

Computer Systems, Methodologies, and Intelligent Services

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

Code Science Field Subfield
2.07.00  Engineering sciences and technologies  Computer science and informatics   

Code Science Field
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 

Code Science Field
1.02  Natural Sciences  Computer and information sciences 
Keywords
digital signal and image processing, biomedical engineering, computational geometry, computer graphics, artificial intelligence, computer-aided geometrical design, programming languages, compilers, computer architectures, distributed processing, Internet programming
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 (46)
no. Code Name and surname Research area Role Period No. of publications
1.  35932  Mladen Borovič  Computer science and informatics  Technical associate  2013 - 2014  64 
2.  23982  PhD Borko Bošković  Computer science and informatics  Researcher  2011 - 2014  230 
3.  23980  MSc Albin Bregant  Computer science and informatics  Technical associate  2014  38 
4.  16118  PhD Janez Brest  Computer science and informatics  Researcher  2009 - 2014  466 
5.  36293  Damjan Casar    Technical associate  2013  0 
6.  20206  PhD Boris Cigale  Systems and cybernetics  Researcher  2009 - 2014  161 
7.  32107  PhD Ines Čeh  Computer science and informatics  Junior researcher  2009 - 2012  25 
8.  22707  PhD Matej Črepinšek  Computer science and informatics  Researcher  2009 - 2014  260 
9.  24680  PhD Vid Domiter  Computer science and informatics  Researcher  2009 - 2011  34 
10.  31054  PhD Iztok Fister  Computer science and informatics  Researcher  2009 - 2014  316 
11.  33285  PhD Simon Gangl  Computer science and informatics  Junior researcher  2010 - 2014  9 
12.  20321  PhD Matej Gomboši  Computer science and informatics  Researcher  2009 - 2011  182 
13.  03792  PhD Nikola Guid  Computer science and informatics  Researcher  2009 - 2014  461 
14.  21301  PhD Aleš Holobar  Systems and cybernetics  Researcher  2009 - 2014  501 
15.  36450  PhD Denis Horvat  Computer science and informatics  Junior researcher  2013 - 2014  26 
16.  25672  Marjan Horvat    Technical associate  2009 - 2014  23 
17.  29574  PhD Dejan Hrnčič  Computer science and informatics  Junior researcher  2009 - 2012  34 
18.  27564  PhD Rok Istenič  Computer science and informatics  Researcher  2009 - 2011  40 
19.  37447  PhD David Jesenko  Computer science and informatics  Junior researcher  2014  46 
20.  22438  PhD Gregor Klajnšek  Computer science and informatics  Researcher  2009 - 2011  59 
21.  16259  PhD Simon Kolmanič  Computer science and informatics  Researcher  2009 - 2014  191 
22.  23454  PhD Tomaž Kosar  Computer science and informatics  Researcher  2009 - 2014  246 
23.  21317  PhD Sebastian Krivograd  Computer science and informatics  Researcher  2009 - 2011  81 
24.  18433  PhD Mitja Lenič  Computer intensive methods and applications  Researcher  2009  164 
25.  21318  PhD Bogdan Lipuš  Computer science and informatics  Researcher  2011 - 2014  54 
26.  33709  PhD Niko Lukač  Computer science and informatics  Junior researcher  2012 - 2014  202 
27.  11191  PhD Marjan Mernik  Computer science and informatics  Researcher  2009 - 2014  690 
28.  36506  PhD Uroš Mlakar  Computer science and informatics  Technical associate  2013 - 2014  64 
29.  29243  PhD Domen Mongus  Computer science and informatics  Researcher  2009 - 2014  278 
30.  21601  Jurij Munda    Technical associate  2009 - 2014  33 
31.  28693  Denis Obrul  Computer science and informatics  Technical associate  2009 - 2012  26 
32.  06823  PhD Milan Ojsteršek  Computer science and informatics  Researcher  2009 - 2014  526 
33.  15671  PhD David Podgorelec  Computer science and informatics  Researcher  2009 - 2013  214 
34.  15801  PhD Božidar Potočnik  Systems and cybernetics  Researcher  2009 - 2014  312 
35.  08638  PhD Krista Rizman Žalik  Computer science and informatics  Researcher  2009 - 2014  186 
36.  18726  PhD Damjan Strnad  Computer science and informatics  Researcher  2009 - 2014  231 
37.  26035  PhD Denis Špelič  Computer science and informatics  Researcher  2009 - 2014  62 
38.  30949  PhD Sebastijan Šprager  Computer science and informatics  Researcher  2009 - 2013  69 
39.  25098  Simon Tutek    Technical associate  2009 - 2013  12 
40.  31574  Marko Višić    Technical associate  2009 - 2012  0 
41.  28880  PhD Aleš Zamuda  Computer science and informatics  Researcher  2012 - 2014  226 
42.  08061  PhD Damjan Zazula  Systems and cybernetics  Researcher  2009 - 2014  789 
43.  06671  PhD Borut Žalik  Computer science and informatics  Head  2009 - 2014  851 
44.  31475  Denis Žganec  Computer science and informatics  Technical associate  2014  18 
45.  33994  PhD Danijel Žlaus  Computer science and informatics  Technical associate  2011  23 
46.  03041  PhD Viljem Žumer  Computer science and informatics  Researcher  2009 - 2012  493 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0796  University of Maribor, Faculty of Electrical Engineering and Computer Science  Maribor  5089638003  27,549 
Abstract
The Computer Systems, Methodologies, and Intelligent Services group, supported by the governmental programme funding, comprises researchers from five laboratories of the Institute for Computer Science at the Faculty of Electrical Engineering and Computer Science of the University of Maribor. The group pursues two global objectives: firstly, to do scientific research in the fields developed by the individual laboratories, and secondly, to utilize the heterogeneous background and diverse knowledge for synergetic effects. Our scientific research is oriented in the following topics whereat widely competitive results may be expected: - Development of new methodologies for domain-specific languages - Inference about the context-free grammars - Heuristic approaches in graphics and geometric modelling - 3D and 4D compression of graphic and geometric data - Introduction of the Internet personalisation systems and vertical services - Decomposition of complex signals in the cases with less measurements than sources - Analysis of magnetic resonance and ultrasound medical images - Development of virtual environments for training and education The group as a whole tends to take advantage of its complementary knowledge and synergy for the development of intelligent Internet services. We are going to construct a backbone with common vertical services, which will be used by the intelligent solutions with different, aforementioned topics. The system of intelligent services will be publicly accessible and will be developed throughout the existence of the programme group, according to our own expectation and design as well as according to the interaction with the users.
Significance for science
Ubiquitous computing and intelligent services build on ever-more demanding approaches that process sets of signals and images from human living and business environment. Scientific research we conduct contributes new theoretical and practical grounds. Most prominent are the methods for the decomposition of compound signals. Highest-ranked is our convolution kernel compensation method (CKC) which can, the only in the world, decompose surface electromyograms even in dynamic contractions. Advanced decomposition has also been derived for fibre-optic and inertial signals acquired by unobtrusive sensors. Scientific community recognises the efficiency of our detection and recognition approaches in medical imaging. Most success was achieved by 2D and 3D-based reconstruction of ovarian follicles from ultrasound images. Differential evolution was used in the reconstruction of numerically coded procedural models from images of natural trees, which we improved this time with effective encoding of local auxiliary matrix parameters in a procedural model. Thus, we have significantly reduced the dimensionality of the challenge and also added a reconstruction on real trees from photographs of nature, where we automatically detected, extracted, and aligned the reference tree from a photo. We have also shown that it is possible using the reconstructed tree morphology to perform animation of tree sway in the wind and add different patterns of leaves for such tree. The use of Ellenberg ecological indicators in ForestMAS is an important novelty inside the succession models with a lot of potential for further development. Our research in the field of domain-specific languages has been internationally recognized at research level (high number of citations, Editor-In-Chief of Computer Languages, Systems and Structures journal) as well as at business level (we are currently in contacts with USA company about development of proprietary domain-specific language). Furthermore, our research already leads to competitive advantages of Slovenian software companies. We are collaborating with the successful company DEWESoft, where a domain-specific modeling language Sequencer has been developed, which is already successfully used by DEWESoft in measurement systems. The developed semantic and linguistic infrastructure can be used in research areas of text categorization, semantic search, recommendation systems and similar text detection systems.
Significance for the country
Progress of information and communication technologies and biomedical engineering was recognised strategically crucial for the development of Slovenia. We derived services that are based on innovation in the design of new devices, approaches, and algorithms in these fields. Highest relevance appertains to our unique system for decomposition surface electromyograms, which shows first commercial results. Its development depends on part Slovenian funding. A similar observation is valid for the system of unobtrusive sensors that assess human functional-health parameters in the living environment. Also our solutions in the field of ultrasound and X-ray imaging have been accepted by the Slovenian partners. The algorithm meta-GA for parameter control of neural network for fire analysis of steel frame enables the better modeling of steel behavior during fires and consequently improves fire protection building of objects in civil engineering. Interestinglly, steel exhibits very unusual wavy behavior which is a very difficult to model by a close form empirical models when heated to temperatures between 250° C and 600° C. Therefore, the empirical model was replaced with neural network and its parameters were tunned with the meta-GA. Planning the sports training sessions enable amateur and recreative athletes predicting the program of sports training sessions from data obtained with sportswatches during preparation on the more important competitions without expensive and usually busy trainers. Visualization of landscape changes obtained by ForestMAS simulator can make decisive influence on land use policy. The national infrastructure of open acces is a treasury of knowledge provided by Slovenian universities and other research institutions. We expect, that the nature of open availability of this content will improve the visibility and impact of Slovenian research activities.
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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