Zriadenie Fakulty informatiky a informaÄnÃ½ch technolÃ³giÃ - FIIT STU

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46 <strong>STU</strong> Faculty of Informatics and Information Technologies7.4 Research Laboratoriescompare individual filters with each other and also with gradient descentmethod Truncated Backpropagation Through Time (BPTT(h)).I show the results are consistently better when comparing recurrentneural networks trained by these advanced methods with BPTT(h). Inthe like manner, Extended Kalman Filter achieves worse results comparedto the other filters, which on the other hand achieve comparableresults with each other. I describe how to speed up their computationby utilizing the graphics card. My work is one of the first (if not thefirst) that focuses on recurrent neural network training utilizing theprocessor on graphics card.Laboratory of Database TechnologiesManager: M.GalbavýContact:miroslav.galbavy@stuba.skDescription: The laboratory is oriented towards support of research tasks, whichuse in some stages of solution a database environment, or which dealwith security issues of database and information systems. Further applicationis in database application including multimedia applications,Global Information Systems, on-line transaction processing, on-lineanalytical processing, data-mining, data warehouses, internet accessto databases, applications of CASE systems. The laboratory isequipped with SUN Enterprise 250 server and tens of SunRay workstationsand some PC’s. Software equipment includes database environmentOracle 8.1.6, MySQL, PostgreSQL, MS SQL Server, andProgress v8.Laboratory of Intelligent Embedded SystemsManager: Š. KozákContact:stefan.kozak@stuba.skDescription: The aim of the laboratory is the development of advanced soft techniquesand principles and their broad and far-reaching applications topractical embedded systems in industries. In the Laboratory of IntelligentEmbedded Systems researchers are developing smart systemsand transmitters, electronic devices, and control-and-decision-makingsoftware and algorithms to empower embedded systems performanceusing artificial intelligence methods. The big challenge of the researchwork in the laboratory is to develop efficient methods andsoftware and hardware tools which can be used in industries to enhancethe product design process, make time-to-market shorter andimprove overall quality of the final products.Laboratory of Modelling and SimulationManager: Š. KozákContact:stefan.kozak@stuba.sk
Annual report 2009 47Description:The laboratory is oriented towards support of teaching modelling,simulation and control, using mainly Matlab and Simuling with varioustoolboxes for intelligent control, life fuzzy, neural and evolutionarytoolboxes. It provides advanced research and education programin development of novel approaches and their applications in modelling,simulation and control of continuous-time, discrete-time, discreteevents and hybrid systems. The education is adapted to thecurrent demand of the industries in Slovakia (power industry, gas andcar industries, health care, banking) and aims to training specialists tobe able to cope with today’s problems and to design appropriate solutions.Various basic and applied research projects dealing with challenginginterdisciplinary problems are solved in this laboratory.Grid Computing LaboratoryManager: L. HudecContact:ladislav.hudec@stuba.skDescription: The research and teaching laboratory is devoted to teaching distributedprocessing and parallel programming graduate modules and experimentallab for project on Grid Computing and its components.Grid consists of two independent parts. The first part is testing gridequipped 20 CPUs, 1Gb network interconnection, front-end serverwith UPS and Globus Toolkit software. The second part is productiongrid equipped 40 CPUs, 1Gb network connection, front-end serverwith UPS and Globus Toolkit software. Grid is connected to Internetand is going to be as a part of SlovakGrid national grid structure.7.5 Research ProjectsStudy of Co-evolution between Genes and Memes using Artificial Life Methods andReplicator Theory (VEGA, 1/0804/08)Project leader: V. KvasničkaMembers:Supported by:J. Pospíchal, Š. Babinec, J. Laca, P. Lacko, P. TrebatickýScientific Grant Agency of the Ministry of Education of Slovak Republicand the Slovak Academy of SciencesDuration: January 2008 – December 2010Description:Evolutionary methods of artificial life and replicator theory will beused to study co-evolution between genes and memes. A populationwill be composed of complexes built from one gene and one meme:the complex will be called an m-gene. The propagation of m-genes inthe population will be based on following three elementary operations:replication (m-gene is replicated onto another m-gene − a descendent,which may contains a mutated version of the parental m-gene; interaction (a memetic transfer from a donor to an acceptor) andextinction (m-gene is eliminated out of the population. By computationalsimulations “in silico” we shall study a co-evolution betweenmemes and genes and identify various mechanisms of evolution ofmemes in population. The results of this study will enable to identify
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Zriadenie Fakulty informatiky a informaÄnÃ½ch technolÃ³giÃ - FIIT STU