Melampyrum nemorosum agg. is very complicated group of hemiparasitic plants. According to the traditional concept, 15 species is distinguished. Recent molecular analyses show a need of critical taxonomic revision of group and a potential importance of ancient hybridization. Analysis of 3 regions of cpDNA (trnTUGU-trnLUAA, psbA-trnHGUG, rpl32-trnLUAG) and 2 regions of nuclear DNA (Agt1 and At103) reveals well supported lineage with limited geographical distribution. Morphology and genome size of genetically supported lineages were compared.

Title: Influence of velocity model uncertainty in earthquake source inversions Author: Miroslav Halló Department: Department of Geophysics Supervisor: doc. RNDr. František Gallovič, Ph.D., Department of Geophysics Abstract: Earthquake ground motions originate from rupture processes on faults in Earth. Constraints on earthquake source models are important for better un- derstanding of earthquake physics and for assessment of seismic hazard. The source models are inferred from observed waveforms by inverse modeling, which is subject to uncertainty. For large tectonic earthquakes the major source of un- certainty is an imprecise knowledge of crustal velocity model. The research topic of this Thesis is the influence of the velocity model uncertainty on the inferred source models. We perform Monte-Carlo simulations of Green's functions (GFs) in randomly perturbed velocity models to reveal the effects of the imprecise veloc- ity model on the synthetic waveforms. Based on the knowledge gained, we derive closed-form formulas for approximate covariance functions to obtain fast and effective characterization of the GFs' uncertainty. We demonstrate that approxi- mate covariances capture correctly the GF variability as obtained by the Monte- Carlo simulations. The proposed approximate covariance functions are...

Rhabdoviridae family viruses attacking the plant hosts were only described at the angiosperms. In this work, a gymnosperm rhabdoviridae infection was described for the first time ever ? specifically at Ginkgo biloba. Even though there were not observed any kinds of obvious infection symptoms on any of randomly chosen plant samples, through the molecular methods and detection primers the rhabdoviridae infection was proved at six of the plant samples. The acquired nucleotide and amino acid sequences, which were compared with the GenBank sequences, confirm the Rhabdoviridae family viruses occurrence. These given sequences demonstrated a certain analogy with a Strawberry crinkle virus assigned to the genus of Cytorhabdoviruses. The analyses proved a different reciprocal homology among the nucleotide sequences of the individual isolates, and in all likelihood an occurrence of two up to now unknown viruses in the Ginkgo biloba samples was proved for the first time. A definite categorization will be dependent on an acquisition and comparison of other sequences from the isolates genome and also on certain biological characteristics observation.

In this study, the reassociation kinetics of codling moth (Cydia pomonella) was performed in order to characterize the molecular composition of the codling moth (Cydia pomonella) genome and to isolate highly repetitive and unique DNA components. The effectivity of distinct repetitive DNA fractions as a specific competitor in fluerescence in situ hybridization was tested.

Orofacial clefts are frequent congenital anomalies. A combination of genetic and environmental factors contributes to their formation. Orofacial clefts together with growth retardation belong among the indicators of embryo toxicity. This thesis is focused on the potential relationship between birth weight and orofacial clefts of newborns born in Czech Republic. The non-syndromic cleft lip, cleft lip and palate, isolated cleft palate and patients with Pierre-Robin sequence are discussed here. Evaluation of the relationship between the birth weight and orofacial clefts was performed on the base of statistical analysis. The differences were tested in children with different types of orofacial clefts and in cleft patients compared to healthy control. Statistical analysis of variance demonstrated that the type and severity of the cleft (unilateral/ bilateral) does not affect birth weight of newborns with orofacial clefts. Newborns with non-syndromic clefts had reduced birth weight in comparison to healthy controls. Cleft patients with Pierre-Robin sequence (syndromic form of cleft) did not differ in birth weight from healthy children. To verify the results obtained in patients with orofacial clefts that the birth weight is lower in these patients compared to control, two experiments on a chicken model...

This thesis deals with a method of spectrum-spreading of the data signals transmitted in the radio channel. There exist three different ways of spreading application, they uses pseudorandom sequences and also orthogonal sequences. In these systems we can find various kinds of modulations, one of them (Quadrature Phase Shift Keying) is shown at the end of the thesis. Spectrum spreading orthogonal multiplex OFDM is based on this method. The thesis wants to present the principle of the spectrum spreading method and the description of systems, transmitters and receivers that are using this method.

This thesis deals with object tracking in video sequence. It focuses on studying of one object´s motion in static background. Motion is defined by its direction and its speed. It was created 3 operators in RapidMiner to determine it. The operator called AccumulativeDifferenceImage searches a trajectory of motion by technique of accumulative difference image. Operator called OpticalFlow is created to describe type of motion and to find size of location´s transition. The operator called SpeedMeasuing is used for determining of speed, it calculates speed of object by using input´s binary masks in meters by second. In theoretical part of thesis are described the types of segmentation´s methods, basic types of block matching algorithms, attributes of video sequences and problem of recording of motions. In practical part are described implementations of every operator, the testing video sequences and showed results of tests for every operator.

The thesis focuses on issues around communication system with the Direct Spread Spectrum Signal Signal. This work outlines the theoretical analysis of this technique and subsequently is created a communication system concept. The device concept is adjusted so that the device can be used as a laboratory device, presenting the spreading technique. This thesis offers a comprehensive and detailed description of the communication system construction, including design of transmitter, receiver and a common transmission channel. In conclusion are stated the results of devised communication system.

This thesis deals with design, implementation and testing of face recognition system processing video sequences captured by CCTV systems. The use of Local Binary Pattern Histograms (LPBH) and Nearest Neighbor (NN) classifier was suggested according to the survey of face recognition methods. Discrimination power of LBPH features was examined and individual informative features were searched based on Fisher discrimination ratio and mutual correlation. Cluster’s centorid method was utilized for pattern creation because of its best effect on system’s face recognition capability comparing several proposed methods. Software tool for effective face recognition system algorithms performance testing was developed. Video database IFaViD was assembled for training and performance testing of implemented face recognition system.

Knowledge of protein hot spots and the ability to successfully predict them while using only primary protein structure has been a worldwide scientific goal for several decades. This thesis describes the importance of hot spots and sums up advances achieved in this field of study so far. Besides that we introduce hot spot prediction algorithm using only a primary protein structure, based primarily on signal processing techniques. To convert protein sequence to numerical signal we use the EIIP attribute, while further processing is carried out via means of S-transform. The algorithm achieves sensitivity of more than 60 %, positive predictive value exceeds 50 % and the main advantage over competitive algorithms is its simplicity and low computational requirements.