Národní úložiště šedé literatury Nalezeno 29,711 záznamů.  začátekpředchozí21 - 30dalšíkonec  přejít na záznam: Hledání trvalo 0.97 vteřin. 

Dílčí zpráva IV/2016 - Hodnocení monitoringu napěťodeformačního stavu horninového masivu při dobývání sloje 30 (634) v rámci zkušebního provozu dobývací metody chodba - pilíř v OPJ Dolu ČSM - SEVER
Waclawik, Petr ; Ptáček, Jiří ; Kukutsch, Radovan ; Kajzar, Vlastimil ; Koníček, Petr ; Souček, Kamil ; Staš, Lubomír
Monitoring napěťodeformačního stavu horninového masivu je nezbytným předpokladem pro ověření nové neschválené dobývací metody chodba-pilíř a jejího dalšího použití v podmínkách české části hornoslezské uhelné pánve. Tato dobývací metoda je projektována pouze na základě zkušeností a postupů, které jsou ověřeny v odlišných přírodních podmínkách a hloubkách pod povrchem a proto je nezbytná její verifikace pro podmínky české části hornoslezské pánve na základě geotechnického monitoringu. Předkládaná zpráva je zpracována na základě smlouvy o dílo č. 942/50/10, kde se Ústav Geoniky AV ČR, v.v zavazuje provádět pravidelné vyhodnocování dat monitoringu napěťodeformačního stavu horninového masivu. V souladu s výše uvedenou smlouvou, je zpráva zpracována v 6-ti měsíčním intervalu a navazuje tak na dílčí zprávu III/2015 (Waclawik et al. 2015) předanou odběrateli v dubnu tohoto roku. Průběžné výsledky geotechnického monitoringu, tak jak zkušenosti získané v době dobývání první dobývky V, ukazují na specifika přírodních podmínek v lokalitě zkušebního provozu nové neschválené dobývací metody chodba-pilíř.
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Automata in Infinite-state Formal Verification
Lengál, Ondřej ; Jančar, Petr (oponent) ; Veith, Helmut (oponent) ; Esparza, Javier (oponent) ; Vojnar, Tomáš (vedoucí práce)
The work presented in this thesis focuses on finite state automata over finite words and finite trees, and the use of such automata in formal verification of infinite-state systems. First, we focus on extensions of a previously introduced framework for verifi cation of heap-manipulating programs-in particular programs with complex dynamic data structures-based on tree automata. We propose several extensions to the framework, such as making it fully automated or extending it to consider ordering over data values. Further, we also propose novel decision procedures for two logics that are often used in formal verification: separation logic and weak monadic second order logic of one successor. These decision procedures are based on a translation of the problem into the domain of automata and subsequent manipulation in the target domain. Finally, we have also developed new approaches for efficient manipulation with tree automata, mainly for testing language inclusion and for handling automata with large alphabets, and implemented them in a library for general use. The developed algorithms are used as the key technology to make the above mentioned techniques feasible in practice.

Subspace Modeling of Prosodic Features for Speaker Verification
Kockmann, Marcel ; Kenny, Patrick (oponent) ; Nöth, Elmar (oponent) ; Černocký, Jan (vedoucí práce)
 The thesis investigates into speaker verification by means of prosodic features. This includes an appropriate representation of speech by measurements of pitch, energy and duration of speech sounds. Two diverse parameterization methods are investigated: the first leads to a low-dimensional well-defined set, the second to a large-scale set of heterogeneous prosodic features. The first part of this work concentrates on the development of so called prosodic contour features. Different modeling techniques are developed and investigated, with a special focus on subspace modeling. The second part focuses on a novel subspace modeling technique for the heterogeneous large-scale prosodic features. The model is theoretically derived and experimentally evaluated on official NIST Speaker Recognition Evaluation tasks. Huge improvements over the current state-of-the-art in prosodic speaker verification were obtained. Eventually, a novel fusion method is presented to elegantly combine the two diverse prosodic systems. This technique can also be used to fuse the higher-level systems with a high-performing cepstral system, leading to further significant improvements.

Relational Verification of Programs with Integer Data
Konečný, Filip ; Bouajjani, Ahmed (oponent) ; Jančar, Petr (oponent) ; Vojnar, Tomáš (vedoucí práce)
This work presents novel methods for verification of reachability and termination properties of programs that manipulate unbounded integer data. Most of these methods are based on acceleration techniques which compute transitive closures of program loops. We first present an algorithm that accelerates several classes of integer relations and show that the new method performs up to four orders of magnitude better than the previous ones. On the theoretical side, our framework provides a common solution to the acceleration problem by proving that the considered classes of relations are periodic. Subsequently, we introduce a semi-algorithmic reachability analysis technique that tracks relations between variables of integer programs and applies the proposed acceleration algorithm to compute summaries of procedures in a modular way. Next, we present an alternative approach to reachability analysis that integrates predicate abstraction with our acceleration techniques to increase the likelihood of convergence of the algorithm. We evaluate these algorithms and show that they can handle a number of complex integer programs where previous approaches failed. Finally, we study the termination problem for several classes of program loops and show that it is decidable. Moreover, for some of these classes, we design a polynomial time algorithm that computes the exact set of program configurations from which nonterminating runs exist. We further integrate this algorithm into a semi-algorithmic method that analyzes termination of integer programs, and show that the resulting technique can verify termination properties of several non-trivial integer programs.

Grammars with Restricted Derivation Trees
Koutný, Jiří ; Janoušek, Jan (oponent) ; Vojnar, Tomáš (oponent) ; Meduna, Alexandr (vedoucí práce)
This doctoral thesis studies theoretical properties of grammars with restricted derivation trees. After presenting the state of the art concerning this investigation area, the research is focused on the three main kinds of the restrictions placed upon the derivation trees. First, it introduces completely new investigation area represented by cut-based restriction and examines the generative power of the grammars restricted in this way. Second, it investigates several new properties of path-based restriction placed upon the derivation trees. Specifically, it studies the impact of erasing productions on the generative power of grammars with restricted path and introduces two corresponding normal forms. Then, it describes a new relation between grammars with restricted path and some pseudoknots. Next, it presents a counterargument to the generative power of grammars with controlled path that has been considered as well-known so far. Finally, it introduces a generalization of path-based restriction to not just one but several paths. The model generalized in this way is studied, namely its pumping, closure, and parsing properties.

Evolutionary Approach to Synthesis and Optimization of Ordinary and Polymorphic Circuits
Gajda, Zbyšek ; Schmidt, Jan (oponent) ; Zelinka,, Ivan (oponent) ; Sekanina, Lukáš (vedoucí práce)
This thesis deals with the evolutionary design and optimization of ordinary and polymorphic circuits. New extensions of Cartesian Genetic Programming (CGP) that allow reducing of the computational time and obtaining more compact circuits are proposed and evaluated. Second part of the thesis is focused on new methods for synthesis of polymorphic circuits. Proposed methods, based on polymorphic binary decision diagrams and polymorphic multiplexing, extend the ordinary circuit representations with the aim of including polymorphic gates. In order to reduce the number of gates in circuits synthesized using proposed methods, an evolutionary optimization based on CGP is implemented and evaluated. The implementations of polymorphic circuits optimized by CGP represent the best known solutions if the number of gates is considered as the target criterion.

Metodika aplikace testu obvodu založená na identifikaci testovatelných bloků
Herrman, Tomáš ; Plíva, Zdeněk (oponent) ; Racek, Stanislav (oponent) ; Kotásek, Zdeněk (vedoucí práce)
Dizertační práce se zabývá analýzou číslicových obvodů popsaných na úrovni meziregistrových přenosů. Je v ní zahrnuta pouze problematika související s testovatelností obvodových datových cest, řadičem ovládajícím tok dat těmito cestami se nezabývá. Stěžejní částí práce je návrh konceptu testovatelného bloku (TB), pomocí něhož se obvod rozdělí na části, jež jsou plně testovatelné přes jejich vstupy a výstupy, přes takzvané hraniční registry bloku nebo primární vstupy/výstupy. Přínosem nové metodiky je také redukce počtu registrů v řetězci scan, do něhož jsou zařazeny pouze hraniční registry. Segmentací obvodu dosáhneme také zjednodušení generování testu rozdělením tohoto problému na více menších částí. Navržená metodika pro identifikaci TB v číslicovém obvodu využívá dvou vybraných evolučních algoritmů operujících na formálním modelu obvodu na úrovni RT.

Synchronous Formal Systems Based on Grammars and Transducers
Horáček, Petr ; Janoušek, Jan (oponent) ; Yamamura,, Akihito (oponent) ; Meduna, Alexandr (vedoucí práce)
This doctoral thesis studies synchronous formal systems based on grammars and transducers, investigating both theoretical properties and practical application perspectives. It introduces new concepts and definitions building upon the well-known principles of regulated rewriting and synchronization. An alternate approach to synchronization of context-free grammars is proposed, based on linked rules. This principle is extended to regulated grammars such as scattered context grammars and matrix grammars. Moreover, based on a similar principle, a new type of transducer called the rule-restricted transducer is introduced as a system consisting of a finite automaton and context-free grammar. New theoretical results regarding the generative and accepting power are presented. The last part of the thesis studies linguistically-oriented application perspectives, focusing on natural language translation. The main advantages of the new models are discussed and compared, using select case studies from Czech, English, and Japanese to illustrate.

Extensions to Probabilistic Linear Discriminant Analysis for Speaker Recognition
Plchot, Oldřich ; Fousek, Petr (oponent) ; McCree,, Alan (oponent) ; Burget, Lukáš (vedoucí práce)
This thesis deals with probabilistic models for automatic speaker verification. In particular, the Probabilistic Linear Discriminant Analysis (PLDA) model, which models i--vector representation of speech utterances, is analyzed in detail. The thesis proposes extensions to the standard state-of-the-art PLDA model. The newly proposed Full Posterior Distribution PLDA  models the uncertainty associated with the i--vector generation process. A new discriminative approach to training the speaker verification system based on the~PLDA model is also proposed. When comparing the original PLDA with the model extended by considering the i--vector uncertainty, results obtained with the extended model show up to 20% relative improvement on tests with short segments of speech. As the test segments get longer (more than one minute), the performance gain of the extended model is lower, but it is never worse than the baseline. Training data are, however, usually  available in the form of segments which are sufficiently long and therefore, in such cases, there is no gain from using the extended model  for training. Instead, the training can be performed with the original PLDA model and the extended model can be used if the task is to test on the short segments. The discriminative classifier is based on classifying pairs of i--vectors into two classes representing target and non-target trials. The functional form for obtaining the score for every i--vector pair is derived from the  PLDA model and training is based on the logistic regression minimizing  the cross-entropy error function  between the correct labeling of all trials and the probabilistic labeling proposed by the system. The results obtained with discriminatively trained system are similar to those obtained with generative baseline, but the discriminative approach shows the ability to output better calibrated scores. This property leads to a  better actual verification performance on an unseen evaluation set, which is an important feature for real use scenarios.