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Institute of Information Theory and Automation
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Projects
Department: SI
Duration: 2006
- 2011
Grantor: MSMT
The development of the methodology for quality improvement, diagnostics and reliability analysis of production and technological processes, namely with respect to their aplicability in praxis. The advancement of complex analytical methods, leading to increase of competitiveness of industial works.
Department: ZS
Duration: 2006
- 2011
Grantor: MSMT
Projekt je zaměřen na aplikovaný výzkum metodologie SW nástrojů a technologie virtuálního WWW serveru dovolujícího automatizovat generování, konfiguraci a kompilaci SW i HW komponent pro systémy s procesorovým jádrem a specializovanými HW periferiemi, které mohou být na FPGA.
Department: SI
Duration: 2006
- 2008
Grantor: MPO
Development of an intelligent information system of maintenance. The system will possess a modular structure containing both basic tools and functions of maintenance management and modules with advanced analytical methods, and including an adaptive knowledge data-basis.
Department: AS
Duration: 2006
- 2009
Grantor: MSMT
Knowledge elicitation from extensive data files inevitably reduces the extracted information content. Results always serve to a subsequent, often dynamic, decision making. Its quality depends critically on the reduction made.
Department: AS
Duration: 2006
- 2008
Grantor: GACR
Department: ZS
Duration: 2005
- 2007
Grantor: FG
Department: TŘ
Duration: 2005
- 2008
Grantor: MSMT
Department: ZS
Duration: 2005
- 2007
Grantor: FG
Department: ZS
Duration: 2005
- 2008
Grantor:
Department: TŘ
Duration: 2005
- 2011
Grantor: MSMT
Department: SI
Duration: 2005
- 2008
Grantor: GACR
Methods for statistical data analysis and probability modeling play an increasingly important role in learning about natural and social phenomena, especially in connection with the availability and spread of information technology.
Department: ZS
Duration: 2005
- 2011
Grantor: MSMT
Department: AS
Duration: 2005
- 2006
Grantor: FG
Department: TŘ
Duration: 2005
- 2007
Grantor: GACR
Department: E
Duration: 2005
- 2007
Grantor: GACR
The aim of the proposed grant project is the validation of decision models of dynamical economic and financial systems under uncertainty. For handling such tasks probabilistic approaches primarily based on multistage stochastic programming and stochasticdynamic programming are very often employed.