Liberalization of Electricity Supply Industry
Tashpulatov, Sherzod
2018 - English
The habilitation thesis consists of papers analyzing the impact of regulatory reforms on market outcomes and bidding behavior of electricity producers. Each paper uses a different methodology to answer various research questions. In the first paper I analyze the impact of price-cap regulation and divestment series on the electricity price during the peak-demand period over trading days. In order to reflect the impact of divestment series, the market share of each incumbent producer is included in the analysis. The next paper analyzes changes in the incentive and disincentive to exercise market power by submitting price bids in excess of marginal production costs during the peak-demand period. I again focus on the peak-demand period over trading days because producers typically exercise market power namely during the periods when demand is at the peak. The third paper investigates another means of raising electricity prices when electricity producers may withhold cheaper production capacity during the peak-demand period compared to a low-demand period on the same trading day. In such a situation the market operator may need to use more expensive production facilities to satisfy demand for electricity. In the last paper I analyze changes in the price level and volatility over different regulatory regime periods. Such an analysis could be important for detecting tacit collusion when, for example, we observe a higher price level associated at the same time with lower volatility.
Keywords:
liberalization; regulation; electricity markets; market power; uniform price auction; price bids; capacity bids; electricity price; skew generalized error distribution; conditional volatility
Available in digital repository of ČVUT.
Liberalization of Electricity Supply Industry
The habilitation thesis consists of papers analyzing the impact of regulatory reforms on market outcomes and bidding behavior of electricity producers. Each paper uses a different methodology to ...
Bezpečnost bioplynových stanic
Trávníček, Petr
2018 - Czech
Keywords:
bioplynové stanice; bioplyn
Available to registered users in the Library of Mendel University.
Bezpečnost bioplynových stanic
Cytokininy, vývoj nových derivátů a jejich použití v biotechnologiích a zemědělství
Plíhalová, Lucie
2018 - Czech
Keywords:
cytokininy; zemědělství; deriváty
Available to registered users in the Library of Mendel University.
Cytokininy, vývoj nových derivátů a jejich použití v biotechnologiích a zemědělství
Využití biostimulantů v zahradnické produkci
Kopta, Tomáš
2018 - Czech
Keywords:
bioaditiva; biostimulanty; houby; probiotické bakterie
Available to registered users in the Library of Mendel University.
Využití biostimulantů v zahradnické produkci
Habilitační práce - soubor architektonických prací
Krejčiřík, Přemysl
2018 - Czech
Keywords:
zahradní architektura; krajinářská architektura; obnova památek; zahradní umění
Available to registered users in the Library of Mendel University.
Habilitační práce - soubor architektonických prací
Vlivy na přesnost automatického měřicího cyklu
2018 -
Keywords:
přesnost měření; povrchová metrologie; zpracování dat; publikace
Available in the ZČU Library.
Vlivy na přesnost automatického měřicího cyklu
Specifika konstruování velkých tvářecích strojů
2018 -
V práci je provedena analýza typických konstrukčních řešení rámů velkých tvářecích strojů
pro volné kování. Jedná se především o hydraulické lisy s označením CKV, CKW a CKZ
o velikosti nad 50 MN. Na základě této analýzy byl vytvořen rámec informací o těchto
tvářecích strojích s cílem popsat specifika konstruování velkých hydraulických lisů pro volné
kování. V práci jsou dále představeny konkrétní projekty, při nichž bylo využito
optimalizačních postupů, které byly ověřovány pomocí virtuálního měření. V závěru práce jsou
uvedeny obecné závěry týkající se specifik konstruování velkých hydraulických lisů pro volné
kování.
Keywords:
free forging; rám velkých tvářecích strojů; analýza; specifika konstruováné
Available in the ZČU Library.
Specifika konstruování velkých tvářecích strojů
V práci je provedena analýza typických konstrukčních řešení rámů velkých tvářecích strojů pro volné kování. Jedná se především o hydraulické lisy s označením CKV, CKW a CKZ o velikosti nad 50 MN. Na ...
Detecting speech disorders in early Parkinson’s disease by acoustic analysis
Rusz, Jan
2018 - English
This interdisciplinary habilitation thesis is focused on the design of the feasible algorithms and
analytical methods based on digital signal processing and advanced statistical analysis that are
sensitive to capture pathological speech changes from very early stages of Parkinson’s disease.
Using objective acoustic analysis, we revealed distinctive speech impairment in patients with
prodromal Parkinson’s disease, newly diagnosed Parkinson’s disease and atypical parkinsonian
syndromes. Our findings suggest that automated vocal analysis may contribute to screening and
diagnostic procedures to identify subjects at high risk of developing Parkinson’s disease and
related neurodegenerative disorders.
Keywords:
Speech and voice disorders; Acoustic analyses; Digital signal processing; Machine learning; Dysarthria; Parkinson's disease; Atypical parkinsonian syndromes; Progressive supranuclear palsy; Multiple system atrophy; REM sleep behavior disorder
Available in digital repository of ČVUT.
Detecting speech disorders in early Parkinson’s disease by acoustic analysis
This interdisciplinary habilitation thesis is focused on the design of the feasible algorithms and analytical methods based on digital signal processing and advanced statistical analysis that ...
LONG–TERM AUTONOMY OF MOBILE ROBOTS IN CHANGING ENVIRONMENTS
Krajník, Tomáš
2018 - English
This habilitation thesis presents research that aims to enable long-term deployment of
mobile robots in changing environments. The presented approaches encompass methods
that ensure robustness of autonomous visual navigation in outdoor environments for prolonged
time periods, spatio-temporal representations that explicitly model the environment
changes over time, and supporting software modules that enable robust and accurate robot
localisation.
The main contribution of the thesis is a novel approach that allows to incorporate
the notion of time into most stationary environment models used in mobile robotics.
This is achieved by representing the uncertainty of the environment states not by fixed
probabilities, but by probabilistic functions of time, represented in the frequency domain.
The method allows to integrate unlimited numbers of sparse and irregular observations
obtained during long-term deployments of mobile robots into memory-efficient models that
reflect the persistence and recurrence of environment variations. The frequency-enhanced
spatio-temporal models allow to predict the future environment states, which improves the
efficiency of mobile robot operation in changing environments. In this thesis, we present a
series of articles, which demonstrate that the proposed approach improves mobile robot
localization, path and task planning, activity recognition, human-robot interaction and
allows for life-long spatio-temporal exploration of perpetually-changing environments.
Available in digital repository of ČVUT.
LONG–TERM AUTONOMY OF MOBILE ROBOTS IN CHANGING ENVIRONMENTS
This habilitation thesis presents research that aims to enable long-term deployment of mobile robots in changing environments. The presented approaches encompass methods that ensure robustness of ...
Challenges and Open Questions of Machine Learning in Computer Security
Pevný, Tomáš
2018 - English
This habilitation thesis presents advancements in machine learning for computer security,
arising from problems in network intrusion detection and steganography.
The thesis put an emphasis on explanation of traits shared by steganalysis, network intrusion
detection, and other security domains, which makes these domains different from
computer vision, speech recognition, and other fields where machine learning is typically
studied. Then, the thesis presents methods developed to at least partially solve the identified
problems with an overall goal to make machine learning based intrusion detection
system viable. Most of them are general in the sense that they can be used outside intrusion
detection and steganalysis on problems with similar constraints.
A common feature of all methods is that they are generally simple, yet surprisingly
effective. According to large-scale experiments they almost always improve the prior art,
which is likely caused by being tailored to security problems and designed for large volumes
of data.
Specifically, the thesis addresses following problems:
anomaly detection with low computational and memory complexity such that efficient
processing of large data is possible;
multiple-instance anomaly detection improving signal-to-noise ration by classifying
larger group of samples;
supervised classification of tree-structured data simplifying their encoding in neural
networks;
clustering of structured data;
supervised training with the emphasis on the precision in top p% of returned data;
and finally explanation of anomalies to help humans understand the nature of anomaly
and speed-up their decision.
Many algorithms and method presented in this thesis are deployed in the real intrusion
detection system protecting millions of computers around the globe.
Available in digital repository of ČVUT.
Challenges and Open Questions of Machine Learning in Computer Security
This habilitation thesis presents advancements in machine learning for computer security, arising from problems in network intrusion detection and steganography. The thesis put an emphasis on ...
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