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Institute of Information Theory and Automation
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Projects
Department: SI
Duration: 2016
- 2019
Grantor: MPO
Department: E
Duration: 2016
- 2018
Grantor: GACR
The project will develop a new measures of dependence between economic variables, which will allow to study the frequency dependent dznamics of correlations in different quantiles of joint distribution.
Department: AS
Duration: 2016
- 2018
Grantor: GACR
Rapid development of information and computer technology as well as availability of multiple, very
frequently incompatible, informational sources have caused that decision makers (both humans and
devices) are overloaded with information. Their imperfectness (i.e.
Department: AS
Duration: 2016
- 2018
Grantor: GACR
Systems of partial differential equations (PDE) and ordinary differential equations (ODE) are studied from
the point of view of Dynamical systems methods. Many problems from biology, chemistry, mechanics,
control, information transmission, economics and other fields are changing in time and so they can be
described by different types of Dynamical systems.
Department: E
Duration: 2015
- 2017
Grantor: GACR
The aim of the project is to create a dynamical structural model of a mortgage portfolio consisting of multiple tranches. A default of a
loan will be driven by a sum of three factors: an overall one, a tranche specific one and an individual one. Analogously, a loss (given default)
of individual mortgages will be driven by a sum of three factors (possibly standing for a collateral value).
Department: ZS
Duration: 2015
- 2017
Grantor: GACR
The proposed project deals with the issues of clustering and classification from the viewpoint of Bayesian methodology and using the recursive mixture estimation theory.
Department: MTR
Duration: 2015
- 2017
Grantor: FG
The main aim of the project is to deepen and extend the mathematical foundations for adequate modeling of vague quantifiers as fuzzy quantifiers in the framework of MFL.
Department: ZOI
Duration: 2015
- 2017
Grantor: GACR
The project falls into the area of image analysis and object recognition. We mainly focus on two important connected areas: object description by invariant features and image fusion. The theoretical concept is based on the formulation of all tasks as optimization problems and looking for proper cost functions and algorithms for their maximization.
Department: ZOI
Duration: 2015
- 2020
Grantor:
This research program is a part of the AV21 Strategy of the CAS.
Department: SI
Duration: 2015
- 2017
Grantor: GACR
Department: E
Duration: 2015
- 2017
Grantor: GACR
Department: AS
Duration: 2014
- 2017
Grantor: MSMT
This proposal brings together experts in information theory with experts in atmospheric dispersion modelling, to tackle a particularly difficult and highly relevant scientific problem.
Department: ZS
Duration: 2014
- 2017
Grantor: TACR
The aim of this project is to define parameters representing skid resistance and longitudinal road unevenness on the base of evaluation vehicle data, available on CAN bus and that are shared between different vehicle assistant systems like ABS or ASR, e.g.
Department: ZOI
Duration: 2014
- 2017
Grantor: TACR
The goal of the project is to develop a sophisticated software for videokymography (VKG) which will enable automatic evaluation of medical videokymographic recordings of vibrating vocal folds and arrive at correct medical diagnosis. Further goal is to develop a certified method of VKG evaluation to be used in clinical practice.
Department: ZOI
Duration: 2014
- 2017
Grantor: TACR
The aim of the proposed project is the development of a new ultrasonic equipment (US), allowing early detection of breast cancer and reduce the need to use the ionizing radiation during examinations. The aim is to eliminate the disadvantages of current ultrasonic systems in the diagnosis of breast cancer, which hinders its use.