Institute of Information Theory and Automation


Výsledky Soutěže o nejlepší publikaci a aplikaci ÚTIA 2012

KATEGORIE: Publikace všeobecné

1. cena

Bartels S., Kružík M.: An efficient approach to the numerical solution of rate-independent problems with nonconvex energies. In: Multiscale Model. Simul., vol. 9, No. 3, pp. 1276-1300, 2011

Brzeźniak, Z., Ondreját, M.: Weak Solutions to Stochastic Wave Equations with Values in Riemannian Manifolds. In: Communications in Partial Differetial Equations, 36: 1624-1653, 2011

Práce přihlášené do Soutěže o nejlepší publikaci a aplikaci ÚTIA 2012

(v abecedním pořadí podle prvního autora)

Historical publications of AS department

V. Peterka, J. Krýže, and A. Fořtová. Numerical solution of Wiener-Hopf equation in statistical identification of linear dynamic systems. Kybernetika, 2:331-346, 1966. Download.

Bayesian soft sensor: a tool for on-line estimation of the key process variable in cold rolling mills

One of the key objectives of any rolling mill control system is to keep the thickness of the processed material within the prescribed tolerance band, which can be as low as +-10 micrometers for thin strips. Failure to comply with the tolerances results in losses which, according to experts estimate, might go up to 10% of the profit for poorly equipped rolling mills. Unfortunately, no practical direct measurement of the gauge within the rolling gap is possible. Strip thickness can be measured 50--100cm after the rolling gap with a high transport delay (20--120 samples).

Models with strictly bounded noise

A state space model is frequently used for a description of real systems. Usually, some state variables are hidden and cannot be measured directly and some model parameters are unknown. Then, the need for learning, i.e., the state filtering and parameter estimation, arises. Probabilistic models provide a suitable description of the always uncertain reality and call for such approaches as Bayesian learning. Uncertainties are standardly modelled by the Gaussian distribution. This leads to Kalman-filter-based algorithms.

Current projects:

Car transport: Fuel consumption optimization

This research project aims at optimization of fuel consumption both from the economical and ecological points of view.




Research positions open - 31.10.2008
The deadline for applications already passed. The applicants will be notified via email by the 31st October.
Uzavření poslucháren - 13.06.2008
V přednáškové místnosti č.4 začala 12.6.2008 demontáž audiovizuální techniky a místnost je tedy od tohoto data nepřístupná.

Učebna číslo 25 zůstane přístupná do středy 25.6.2008, kdy z ní bude odstěhován nábytek a zbylá AV technika.

Geometric Aspects of Conditional Independence and Information - 13.03.2008

location: Max Planck Institute for Mathematics in the Sciences
date: March 13 - 14, 2008
www: link

Přednáška Petra Somola - 18.01.2008
Petr Somol

Konání: 18.ledna (pátek) v 10:00 bude v rámci semináře ZOI pořádaná přednáška Petra Somola

Are Better Feature Selection Methods Actually Better?

One of hot topics discussed recently in relation to pattern recognition techniques is the question of actual performance of modern feature selection methods.

10th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, Liblice, Czech Republic, Sept. 15th-18th 2007 - 15.09.2007

The Czech-Japan seminar have become already a traditional meeting of scientists whose research interests concern methods for decision support in environment with uncertainty and their application in economics and engineering. Seminars are regularly held alternatively in Japan and the Czech Republic since 1999.

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Institute of Information Theory and Automation