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Projects / Programmes source: ARIS

Computer Structures and Systems

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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
2.02  Engineering and Technology  Electrical engineering, Electronic engineering, Information engineering 
Keywords
information technologies, design automation, computing structures, system-on-chip, embedded systems, testing, optimization methods
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.  11983  PhD Anton Biasizzo  Computer science and informatics  Researcher  2009 - 2014  149 
2.  17040  PhD Uroš Kač  Computer science and informatics  Researcher  2009 - 2011  35 
3.  22314  PhD Peter Korošec  Computer science and informatics  Researcher  2009 - 2014  238 
4.  10824  PhD Barbara Koroušić Seljak  Computer science and informatics  Researcher  2009 - 2014  339 
5.  06856  PhD Stanislav Kovačič  Systems and cybernetics  Head  2012 - 2014  390 
6.  29530  PhD Uroš Legat  Computer science and informatics  Junior researcher  2009 - 2012  24 
7.  27734  PhD Peter Mrak  Manufacturing technologies and systems  Junior researcher in economics  2009 - 2010  39 
8.  05601  PhD Franc Novak  Computer science and informatics  Researcher  2009 - 2014  316 
9.  18291  PhD Gregor Papa  Computer science and informatics  Researcher  2009 - 2014  352 
10.  09862  PhD Jurij Šilc  Computer science and informatics  Researcher  2009 - 2014  359 
11.  28488  PhD Katerina Tashkova  Computer science and informatics  Junior researcher  2009 - 2011  28 
12.  11972  PhD Drago Torkar  Computer science and informatics  Researcher  2009 - 2014  91 
13.  30891  PhD Vida Vukašinović  Computer science and informatics  Researcher  2009 - 2014  58 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  90,742 
Abstract
New silicon technologies allow implementation of complex devices composed of heterogeneous cores, massive memory, communication networks, electro-mechanical sub-assemblies and intelligent sensors, which requires new multidisciplinary design approaches and introduces numerous problems in design and test. The proposed research programme addresses these problems and is primarily focused on the subjects in which we have gained experience in our earlier research work. A processor core is one of the basic blocks of a modern system-on-chip (SoC), therefore the basic knowledge of processor architectures is imperative for the proposed research programme. Following the progress in this field for a number of years, we concentrate on the problem of task scheduling and resource allocation in multithreaded systems. In the area of embedded systems we address problems of dynamic reconfiguration in real-time. We aim to explore the potential for rapid embedded reconfiguration in terms of predictability, reliability and power consumption searching for adequate technologies, such as real-time operating systems, programming languages, hardware platforms for experimental work and prototyping. High-level systhesis faces complex combinatorial problems including parameters that are mutually dependent. Consequently, optimization of the design is often subject to analysis of extensive space of possible solutions. A typical example is concurrent resource allocation of the computing structure synthesized for a given target algorithm. Conventional approaches are often non-adequate, therefore we investigate alternative approaches based on metaheuristic algorithms. System-on-Chip (SoC) design integrates large reusable blocks (i.e. cores) that have been designed and verified in earlier applications in practice. The cores put together in a SoC provide a wide range of functions, like CPUs, DSPs, interfaces, controllers, memories, etc. and normally originate from different core providers which makes the problem of testing rather challenging to the SoC designer. Technical problems (i.e., testability problems due to the limited access of internal points, built-in self-test design, high frequency signal integrity, etc.) as well as problems related to intellectual property issues initiated development of IEEE P1500 (Standard for Embedded Core Test). In collaboration with Laboratoire d'informatique, de robotique et de microelectronique de Montpellier (LIRMM) we explore possibilities of its extension to mixed-signal devices. We also develop new approaches to functional test and built-in self-test for digital systems as well as mixed-signal test approaches based on oscillation test technique optionally supported by IEEE 1149.4 test infrastructure.
Significance for science
The research of system design and test was focused on reconfigurable computing structures. As an initial step toward the design of a self-repairable reconfigurable system, we developed a mechanism for internal FPGA configuration check and repair with low hardware overhead. The proposed recovery mechanism occupies less hardware resources and has shorter fault recovery time than the solutions reported so far. We developed built-in self-test solutions for testing an embedded ADC core in a system-on-chip using the popular histogram-based technique. Developed solutions targeted at minimized hardware overhead, minimized test time and scalability. We also studied the oscillation based test approach for a possible application in a built-in self-test of the embedded ADC core in a system-on-chip. We investigated the measurement conditions and noticed an inherent measurement uncertainty, which has to be considered when deriving the parameters from the oscillation frequency. We further elaborated this issue and derived a theoretical background for computing the measurement uncertainty of the approach. An important part of our research activities is related to the development of metaheuristic optimization methods and their applications. We have developed a new Continuous Differential Ant-Stigmergy Algorithm (CDASA) suitable for solving continuous numerical optimization problems on several real-world applications. We have used this approach to the problem of parameter estimation of nonlinear dynamic systems represented by ordinary differential equations. More precisely, we address the parameter estimation of the dynamics of Rab5-to-Rab7 conversion in endocytosis. We worked on the parameter-less and self-adaptive control of the optimization algorithms. The effectiveness of the approach, where the user does not need any specific knowledge on control parameter setting, was tested in the context of multi-criteria optimization. In the field of pattern recognition we continued collaboration with the Department of Environmental Sciences. We investigated the dependence of radon concentrations on seismological events. We applied the method developed in the past which can distinguish radon concentration anomalies due to earthquakes to the ones due to other environmental parameters, to newly adopted data and achieved a positive result in over 70% cases. We co-organized several conferences: - BIOMA (Bioinspired Optimization Methods and their Applications), 2010, 2012, 2014. The conferences included the presentations and discussions on the newest theoretical and practical results on nature-inspired optimization methods and their applications. - PPSN XIII (Parallel Problem Solving from Nature), 2014. This biennial conference is one of the most important conferences, with a wide response in the field of natural computing. It brings together researchers and practitioners from the field of natural computing. In addition to keynote and regular presentations, the conference featured workshops and tutorials covering advanced topics in this field. - Human-computer Interaction in Information Society (2013, 2014). The conference promotes the society of Slovenian human-computer interaction researchers. - EuroFIR Nexus 2013 and the Workshop of EuroFIR/EuroDISH on Food Matching. The delegates from several European research centers discussed the problem of food data matching from the computer support point of view.
Significance for the country
The most important contributions were made in collaboration with production companies through the implementation of our solutions for better energy and transportation/logistics efficiency, and in the health sector through the implementation of our solutions for effective nutritional data processing. We continued with our active role in the transfer of new technologies and innovative solutions into Slovenian companies, like BSH, Domel, Ema, Eta Cerkno, Gorenje, Harpha Sea, Hidria, Hyb, Luka Koper, Sonce.net, Tesnila, Trimo, Xlab, and others. We have developed and applied several versions of the advanced algorithms and structures for data processing: - applications for product planning and management; - a tool for the simulation and optimisation (temperatures inside a refrigerator); - a quality-control machine-vision solution for various parts (rubber parts); - extending the product functionalities and improving their usability (household appliances); - a machine-vision system for the health-care support (human-knee pendulum test); - the open platform for clinical nutrition for supporting the health and agri-food sectors. Our research further directly influenced the following socio-economic objectives: - Increase in industrial competitiveness through new processing techniques: the developed massive-data processing algorithms in coordination with effective user interfaces formed new self-organising processing techniques to improve the production efficiency and competitiveness of the industry. - Nutritional influence on human health: the developed massive-data processing algorithms and techniques for high-performance computing for open and big food data allowed the wide availability of important food-composition data to prevent an increase in the extent of life-style diseases. - Patents: our innovative research results will be patented and offered to companies to establish their position in the market. Members of the program group are actively involved in undergraduate and graduate study programs of: - Faculty of Electrical Engineering, University of Ljubljana, - Faculty of Electrical Engineering and Computer Science, University of Maribor, - Faculty of Mathematics, Natural Sciences and Information Technologies Koper, University of Primorska, - Jožef Stefan International Postgraduate School.
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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