Number of found documents: 1482
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Adaptace programového vybavení pro hodnocení radiologických důsledků mimořádných úniků radionuklidů ze skladů vyhořelého jaderného paliva
Pecha, Petr; Pechová, E.
2018 - Czech
Revize implicitní grupy radionuklidů a rozšíření o typické postulované mimořádné úniky ze skladů vyhořelého paliva. bylo provedeno rozšíření databáze radionuklidů systému HARP o další nejdůležitější dlouhodobé radionuklidy. V zásadě se jednalo o výběr štěpných a aktivačních produktů a dále o transurany ze skupiny aktinidů. Jsou konstatovány velké neurčitosti v odhadech zdrojových členů úniku pro případy vyhořelého paliva. Je provedeno vzájemné srovnání pro obálkové scénáře s výsledky evropského environmentálního kódu COSYMA pro rozšířenou grupu transuranů.. Analysis of implicit group of radionuclides and its extension included nuclides with long half-llive of decay. Selection from spent fuel inventories. Selection from fision products, transurans an actinide group. Estimation of possible uncertainties. Comparison analysis is done betřween HARP and European COSYMA codes. Keywords: Spent fuel; discharges from repository; radiological impact Fulltext is available at external website.
Adaptace programového vybavení pro hodnocení radiologických důsledků mimořádných úniků radionuklidů ze skladů vyhořelého jaderného paliva

Revize implicitní grupy radionuklidů a rozšíření o typické postulované mimořádné úniky ze skladů vyhořelého paliva. bylo provedeno rozšíření databáze radionuklidů systému HARP o další nejdůležitější ...

Pecha, Petr; Pechová, E.
Ústav teorie informace a automatizace, 2018

Validation of comprehensive energy management system based on cloud-sourced information
Nedoma, P.; Herda, Z.; Franc, Z.; Plíhal, Jiří
2018 - English
The main research activity was devoted to develop an application that would enable testing interface between OIKOS board (based on the AURIXTM) and the dissemination module represented by Skoda vehicle demonstrator through serial port RS232. The testing was based on sending the GPS coordinates to the OIKOS unit and receiving recommended speed profile for the given track. While dissemination unit has received GPS coordinates, AURIX chip has sent back messages with prediction of possible speed profile. Further tasks included verification other forms of transmission, such as Wi-Fi, Bluetooth, Ethernet.\n\n Keywords: OIKOS board; dissemination module; GPS Fulltext is available at external website.
Validation of comprehensive energy management system based on cloud-sourced information

The main research activity was devoted to develop an application that would enable testing interface between OIKOS board (based on the AURIXTM) and the dissemination module represented by Skoda ...

Nedoma, P.; Herda, Z.; Franc, Z.; Plíhal, Jiří
Ústav teorie informace a automatizace, 2018

Automatizovaný softwarový systém pro logopedickou terapii
Paroubková, M.; Bílková, Zuzana; Novozámský, Adam; Dominec, A.; Zitová, Barbara
2018 - Czech
Představení automatizovaného softwarového systému pro logopedickou terapii dětí i dospělých (Assistl). Introduction of an automated software system for speech therapy of children and adults (Assistl). Keywords: speech therapy; tongue; motor speech disorders Fulltext is available at external website.
Automatizovaný softwarový systém pro logopedickou terapii

Představení automatizovaného softwarového systému pro logopedickou terapii dětí i dospělých (Assistl)....

Paroubková, M.; Bílková, Zuzana; Novozámský, Adam; Dominec, A.; Zitová, Barbara
Ústav teorie informace a automatizace, 2018

Experiment: Cooperative Decision Making via Reinforcement Learning
Berka, Milan
2018 - English
This report inspects cooperative decision making task using reinforcement learning. It serves for comparison with methodology based on fully probabilistic design of decision strategies. Keywords: decision making; reinforcement learning; cooperation Fulltext is available at external website.
Experiment: Cooperative Decision Making via Reinforcement Learning

This report inspects cooperative decision making task using reinforcement learning. It serves for comparison with methodology based on fully probabilistic design of decision strategies.

Berka, Milan
Ústav teorie informace a automatizace, 2018

Heuristics in blind source separation
Kautský, Václav; Štěch, Jakub
2018 - English
This paper deals with application of heuristic algorithms (DEBR, MCRS) in blind source separation (BSS). BSS methods focus on a separation of the (source) signal from a linear mixture. The idea of using heuristic algorithms is introduced on the independent component extraction (ICE) model. The motivation for considering heuristics is to obtain an initial guess needed by many ICE algorithms. Moreover, the comparison of this initialization, and other algorithms accuracy is performed.\n Keywords: Blind Source Separation; DEBR; Independent Component Extraction Fulltext is available at external website.
Heuristics in blind source separation

This paper deals with application of heuristic algorithms (DEBR, MCRS) in blind source separation (BSS). BSS methods focus on a separation of the (source) signal from a linear mixture. The idea of ...

Kautský, Václav; Štěch, Jakub
Ústav teorie informace a automatizace, 2018

Two Algorithms for Risk-averse Reformulation of Multi-stage Stochastic Programming Problems
Šmíd, Martin; Kozmík, Václav
2018 - English
Many real-life applications lead to risk-averse multi-stage stochastic problems, therefore effective solution of these problems is of great importance. Many tools can be used to their solution (GAMS, Coin-OR, APML or, for smaller problems, Excel), it is, however, mostly up to researcher to reformulate the problem into its deterministic equivalent. Moreover, such solutions are usually one-time, not easy to modify for different applications. We overcome these problems by providing a front-end software package, written in C++, which enables to enter problem definitions in a way close to their mathematical definition. Creating of a deterministic equivalent (and its solution) is up to the computer. In particular, our code is able to solve linear multi-stage with Multi-period Mean-CVaR or Nested Mean-CVaR criteria. In the present paper, we describe the algorithms, transforming these problems into their deterministic equivalents. Keywords: Multi-stage stochastic programming; deterministic equivalent; multi-period CVaR; nested CVaR; optimization algorithm Fulltext is available at external website.
Two Algorithms for Risk-averse Reformulation of Multi-stage Stochastic Programming Problems

Many real-life applications lead to risk-averse multi-stage stochastic problems, therefore effective solution of these problems is of great importance. Many tools can be used to their solution (GAMS, ...

Šmíd, Martin; Kozmík, Václav
Ústav teorie informace a automatizace, 2018

Problem of competing risks with covariates: Application to an unemployment study
Volf, Petr
2018 - English
The study deals with the methods of statistical analysis in the situation of competing risks in the presence of regression. First, the problem of identification of marginal and joint distributions of competing random variables is recalled. The main objective is then to demonstrate that the parameters and, in particular, the correlation of competing variables, may depend on covariates. The approach is applied to solution of a real example with unemployment data. The model uses the Gauss copula and Cox’s regression model. Keywords: statistical analysis; competing risks; unemployment study Fulltext is available at external website.
Problem of competing risks with covariates: Application to an unemployment study

The study deals with the methods of statistical analysis in the situation of competing risks in the presence of regression. First, the problem of identification of marginal and joint distributions of ...

Volf, Petr
Ústav teorie informace a automatizace, 2018

Balancing Exploitation and Exploration via Fully Probabilistic Design of Decision Policies
Kárný, Miroslav; Hůla, František
2018 - English
Adaptive decision making learns an environment model serving a design of a decision policy. The policy-generated actions influence both the acquired reward and the future knowledge. The optimal policy properly balances exploitation with exploration. The inherent dimensionality\ncurse of decision making under incomplete knowledge prevents the realisation of the optimal design. Keywords: Exploitation; Exploration; Bayesian estimation; Adaptive systems; Fully probabilistic design; Kullback-Leibler divergence; Decision policy; Markov decision process Fulltext is available at external website.
Balancing Exploitation and Exploration via Fully Probabilistic Design of Decision Policies

Adaptive decision making learns an environment model serving a design of a decision policy. The policy-generated actions influence both the acquired reward and the future knowledge. The optimal policy ...

Kárný, Miroslav; Hůla, František
Ústav teorie informace a automatizace, 2018

Comparison of Shenoy’s Expectation Operator with Probabilistic Transforms and Perez’ Barycenter
Jiroušek, R.; Kratochvíl, Václav
2018 - English
Shenoy’s paper published in this Proceedings of WUPES 2018 introduces an operator that gives instructions how to compute an expected value in the Dempster-Shafer theory of evidence. Up to now, there was no direct way to get the expected value of a utility function in D-S theory. If eeded, one had to find a probability mass function corresponding to the considered belief function, and then - using this probability mass function - to compute the classical probabilistic expectation. In this paper, we take four different approaches to defining probabilistic representatives of a belief function and compare which one yields to the best approximations of Shenoy’s expected values of various utility functions. The achieved results support our conjecture that there does not exist a probabilistic representative of a belief function that would yield the same expectations as the Shenoy’s new operator. Keywords: expected utility; Dempster-Shafer theory; Shenoy's operator Fulltext is available at external website.
Comparison of Shenoy’s Expectation Operator with Probabilistic Transforms and Perez’ Barycenter

Shenoy’s paper published in this Proceedings of WUPES 2018 introduces an operator that gives instructions how to compute an expected value in the Dempster-Shafer theory of evidence. Up to now, there ...

Jiroušek, R.; Kratochvíl, Václav
Ústav teorie informace a automatizace, 2018

DCTOOL-A4
Bakule, Lubomír; Papík, Martin; Rehák, Branislav
2018 - English
DCTOOL-A4 report presents draft of a manuscript, which is intended to be submitted for publication. The report provides a novel systematic approach to the analysis of asymptotic stability for output event-triggered uncertain centralized control systems. A class of nonlinear but nominally linear systems possessing unknown time-varying bounded uncertainties with known bounds is considered. Uncertainties are allowed in all system matrices. Original LMI-based suffi cient conditions are derived to guarantee asymptotic stability of closed-loop systems with both static output and observer-based feedback loop under even-triggered control. Both these output feedback strategies are extended to model-based uncertain control systems with\nquantized measurements. A logarithmic quantizer is considered. The Lyapunov-based approach and convex optimization serve as the main methods to derive the asymptotic LMI-based stability conditions. Bounds on the inter-event times to avoid the Zeno-effect are proved for all the cases considered. Finally, feasibility and effi ciency of the proposed strategies is demonstrated by providing numerical examples. Keywords: event-triggered control; networked control systems; large scale complex systems Available at various institutes of the ASCR
DCTOOL-A4

DCTOOL-A4 report presents draft of a manuscript, which is intended to be submitted for publication. The report provides a novel systematic approach to the analysis of asymptotic stability for output ...

Bakule, Lubomír; Papík, Martin; Rehák, Branislav
Ústav teorie informace a automatizace, 2018

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