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Original title in Czech: TeleinformatikaFEKTAbbreviation: PP-TLIAcad. year: 2016/2017
Programme: Electrical Engineering and Communication
Length of Study: 4 years
Accredited from: 25.7.2007Accredited until: 31.12.2020
Profile
The aim of the studies is to prepare top-class scientific personalities that will be able to provide solution to challenging problems of science and technology in the field of information technologies in telecommunications. Another aim is to teach graduates the methods of scientific work, to make their knowledge of higher mathematics and physics more profound, and to furnish students with theoretical, experimental and practical knowledge from the field of teleinformatics.
Key learning outcomes
Graduates of doctoral studies in the field of teleinformatics are fit to work as scientific and research workers in the development, design and operation departments of research and development institutes, and telecommunications companies, where they can make full creative use of their knowledge and skills. The graduate is capable of solving independently sophisticated problems of science and technology in the field of teleinformatics. In view of the scope of his theoretical education the graduate is capable of adapting to practice requirements in both fundamental and applied research.
Occupational profiles of graduates with examples
This field of study focuses on the science education of doctoral students with profound theoretical foundations in converging communication and in formation technologies. The main part of the study includes course in theoretical informatics and telecommunication technology. In the area of teleinformatics the student has much knowledge of communication and information technologies, data transmissions and their security, inclusive of using and designing the related software. He is well versed in operating systems, computer languages, database systems, distributed applications and the like. He can cope with the algorithmization of tasks on a high level and can propose new technological solutions of telecommunication devices, information systems and support services.
Guarantor
prof. Ing. Zdeněk Smékal, CSc.
Issued topics of Doctoral Study Program
The studying of the properties of sound intensity probe, which is also used for localization of sound source, will be first step. The research of the adaptive noise cancellation (ANC) algorithm used in two-channel speech enhancement systems will be the next step. The purpose is to design and test a new adaptive algorithm, which partially utilizing the directional properties of the sound intensity probe for speech quality enhancement.
Tutor: Sysel Petr, doc. Ing., Ph.D.
The goal of the dissertation thesis is to design an effective steganography method which will be practically undetectable by current detection methods and which will be sufficiently robust to withstand the modifications produced by a censor.
Tutor: Burda Karel, doc. Ing., CSc.
The thesis is focused on definition and analysis of textural features in images of sedimentary grains acquired by electron microscope device. The main goal of the work is to objectivize and to automatize the estimation of exoscopic parameters of given grains with the purpose to statistically classify the grains into different classes based on a geomorphological processes which contributed to form a given analysed grain structure.
Tutor: Říha Kamil, doc. Ing., Ph.D.
The scope of the Ph.D. thesis is the analysis of current state and the prediction of service data flow profile progress in modern mobile networks, both in current and in future ones. The goal of the research will be the analysis of subscriber service profiles and getting pieces of information from it. The mobile network performance evaluation from the perspective of user application data flows will be another partial topic of the thesis.
Tutor: Novotný Vít, doc. Ing., Ph.D.
Today we are witnesses of massive deployment of fourth generation mobile networks. The scope of the Ph.D. thesis is the study and consecutive analysis of control procedures (signalling) both in experimental network at UTKO and also in real mobile networks, the research of causes of unsuccessful or long lasting procedures and the design of techniques for mobile network optimization.
Musical expression is the art of playing or singing music with emotional communication. Expression include dynamic indications, such as forte or piano, phrasing, differing qualities of timbre and articulation, colour, intensity, energy and excitement. All of these devices are at the service of the composer's intention and they can best be interpreted by the performer. The goal of a dissertation is to analyze the works in terms of a agogics comparing different interpretations, whether they are musicians and conductors. Comparison should include not only different interpretive approaches, but also the historical and social context that it affects.
Tutor: Smékal Zdeněk, prof. Ing., CSc.
Anonymous networks (darknets) are networks accessible by non-standard communication protocols and applications, such as Tor (The onion router), I2P (Invisible Internet Project), and Freenet. The purpose of such networks is to provide anonymity for the users and their data. The study topic will focus on analysis of the security threads in darknets. Methods for prevention of such attacks will be proposed.
Tutor: Komosný Dan, prof. Ing., Ph.D.
The focus of the thesis is to optimise the design means of preparation of the aperiodic optical diffractive structures in the fibre waveguides aimed to the construction of the sensors and spectral filters. The thesis will utilise and show the design and verification of the necessary modifications of the present mask based fibre grating exposition systems to allow for the exposition of the diffractive structures by use of the interferometric method. Forming the LP aperiodic structures will be experimentally shown and acquired features compared to the Bragg grating features. The design model for forming the desired functionality grating is expected to be composed. The means for the control of the grating properties and for the fast evaluation of the spectral changes of the aperiodic diffractive structures will be designed and experimentally verified. Reference: Kayshyap, R.: Fiber Bragg Gratings. AP, San Diego, 1999.ISBN 0-12-400560-8 Othonos, A, Kyriacos, K.: Fiber Bragg Gratings, fundamentaks and applications in telecommunications and sensing. AH, Norwood, 1999. ISBN0-89006-344-3
Tutor: Urban František, doc. Ing., CSc.
Methods for recursive state estimation are critically based on models of the state evolution process and the measurement process. In practice, these models are often unknown, and moreover the parameters of the models may be time-varying. The goal of this thesis is to investigate the use of methods for sparse Bayesian learning, such as the relevance vector machine, for estimating (learning) the state evolution and measurement models in a simple state estimation scenario. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)
Tutor: Burget Radim, doc. Ing., Ph.D.
The particle filter is a computationally feasible technique for sequential Bayesian estimation in arbitrary nonlinear/non-Gaussian scenarios. The box particle filter is a recent variant of the particle filter with significantly reduced complexity. The goal of this thesis is to develop a distributed version of the box particle filter, and to investigate the application of box particle techniques to belief propagation message passing and/or to Bayesian filters based on random finite sets, such as the PHD filter or the multi-Bernoulli filter.
The work focuses on analysis, modelling of systems and lines for narrowband data transmission over power lines. These transmissions are useful primarily for telemetric and control systems in the energy sector, smart homes, smart grids and remote metering. The main goal is to design new methods for topology determination of power grid with discovering the actual transmission function. Secondary goal is the design of a method for noise ratios determination on power lines and their elimination.
Tutor: Mišurec Jiří, prof. Ing., CSc.
Current wireless networks have to already face a significant increase of specific type of data traffic generated by automated devices and systems without human interaction. This type of mobile data will be even more dominant in future generations of mobile networks such as 5G networks. For this reason, it is necessary to conduct a thorough analysis of all the specifics and requirements in order to efficiently operate these Machine-to-Machine (M2M) services in mobile networks. Therefore, it is highly needed to propose a methodology for the optimal parameters setting in mobile network to provide a required quality of service on the one hand and to avoid the overprovisioning on the other. At the same time, also the energy efficiency of these connections and overall quality of service assurance have to be taken into account.
Tutor: Hošek Jiří, doc. Ing., Ph.D.
The need to complete the missing segment of an audio signal is an interesting task with the practical use (restoration of recordings, dropouts in VoIP calls, etc.). Current methods are capable of high quality interpolation of signals that are stationary in the vicinity of the missing section and have harmonic character. The study would focus on improving these methods by advanced signal processing approaches. Psyhcoacoustic viewpoint of the problem should be covered as well.
Tutor: Rajmic Pavel, prof. Mgr., Ph.D.
The work is focused on the design of A/D and D/A converters working in the current mode. The aim is to design a suitable structure of number-current and current-number converters without internal current-voltage and voltage-current conversions with respect to enhancing the bandwidth in comparison with converters working in the voltage mode. Part of the work is also the design and analysis of current-mode antialiasing filters. The design will start from unconventional circuit element structures such as current conveyors (CCI, CCII, CCIII) with simple or floating output, current feedback amplifiers (CFA) or transconductance amplifiers (OTA, BOTA, DBTA). Requirements to be met by the candidate: the knowledge of circuit theory and simulation programs (MicroCap, PSpice).
Tutor: Lattenberg Ivo, doc. Ing., Ph.D.
Current data networks become more and more complex and cumbersome for both design and management due to the increasing demands for universality, high performance, efficiency, reliability and security. The scope of the Ph.D. thesis is the research of current development trends in the field, design and verification of new approaches to modern data network solutions for both current and near future needs for electronic form of communication.
Nowadays, the classic operating systems are used on dedicated devices that usually have restricted resources and only a limited set of functions is required. The study topic is focused on the optimization of the use of OS Linux on such devices, for example Raspberry Pi.
Massive development and utilization of wireless technologies require new ways how to use the frequency spectrum. Along with this, there is a growing need for higher bandwidth with wider radio channel. Following this, several radio technologies working in ultra-high frequencies (i.e. millimetre wave band) have been introduced recently. This part of the spectrum brings many benefits, especially in the form of high transmission speeds, but also a large number of challenges and open issues. Therefore, this doctoral thesis will deal with design and analysis of advanced communications featuring millimetre waves, which are expected to be deployed in the future Internet of Things (IoT) or smart wearables applications. The main task of the doctoral candidate will be therefore to analyse the current situation in this research area and then propose an optimal solution of wireless communication module with high potential for application in envisioned services as Augmented Reality or eHealth.
With the increasing amount of mobile data traffic, the need for highly efficient algorithms to manage radio resources in the next generation of mobile networks is even more evident. Moreover, the ability to self-organize network parameters is the important element of future cellular networks, mainly because the significant complexity of these networks. A complex structure of the future cellular networks (containing e.g. femto cells or communications simultaneously utilizing more radio access technologies) imposes new challenges in management of the networks. With the growing network size and complexity increases also the amount of resources that are needed to maintaining the network. Following that, the main task of the doctoral thesis is to survey state of the art and consequently design new algorithms for radio resources management in 4G mobile networks. The proposed algorithms will be verified and evaluated by selected simulation tools and also directly in the experimental LTE network.
The aim is to analyse the aspects of protection in a frame of distributed systems and their algorithms with an emphasis on a potential safety risk. The design and optimization of new protection techniques for these systems is expected on the basis of obtained observation. Optimization involves the proposals of both mechanisms to improve the distributed systems and the procedures to either minimize or prevent the negatives effects affecting the functions of such is expected to propose the mathematical tools to describe the novel mechanisms. It is supposed to simulate or experimentally verify the functionality of the proposed solutions.
Tutor: Škorpil Vladislav, doc. Ing., CSc.
The work is focused on improving the communication speed and communication range of PLC (Power Line Communication) systems in three scenarios: PLC for home networks and automation; PLC for smart metering; and PLC on high-voltage power lines. The main challenge of this work is to design a PLC systems for these scenarios including external sources of interferences, frequency and time variability of network and specific elements and parameters of power lines. The PLC channel for given scenarios will be characterized including also design of adaptive methods, code schematics and optimization of modular schemes for effective PLC communication.
The work is focused on measurement, simulation and compensation of chromatic dispersion (CD) and polarization mode dispersion (PMD) in single-mode optical fibers. Higher bitrates use narrow pulses close to each other and dispersion causes their spreading. Causes more distortion and therefore it is a limiting factor for high-speed transmission systems. The most used methods for chromatic dispersion compensation are compensations with dispersion-compensating fiber (DCF), fiber Bragg grating (FBG) or higher-order mode fiber (HOM). Since polarization mode dispersion is quite random phenomenon, it is difficult to eliminate. Nevertheless, there are some methods how to mitigate the effect of PMD. One of the possibilities is to use FEC (forward error correction) coding, wavelengths redundancy in WDM (wavelength division multiplexing) networks or other optical and electrical compensation methods.
Tutor: Filka Miloslav, prof. Ing., CSc.
In this thesis, an agent network performing distributed tracking of one or several targets using an active localization method is considered. The transmitted waveform is reflected by scatterers such as walls of buildings or rooms, leading to multipath propagation. The goal of this thesis is to develop a distributed target tracking method with implicit estimation of the multipath parameters, possibly using knowledge of a map (floor plan) of the environment. This work will be based on an existing distributed tracking method using belief propagation message passing and a consensus scheme. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)
The scenario considered in this thesis is a network of agents that collaborate in order to track a moving target in a decentralized manner. Here, "decentralized" means that there is no central unit collecting and processing all the measurements, and only agents that are spatially close are able to communicate. In such a decentralized tracking scenario, exchanging statistical information between the agents can be simplified considerably if the statistical distributions are sparse. The goal of this thesis is to develop and study the application of compressed sensing methods to the task of exchanging sparse statistical distributions. (Collaboration partner: Prof. Franz Hlawatsch, TU Wien)
The work is focused on the feature analysis of current-mode electronic frequency filters. The aim is to design algoritmizable methods that lead to finding features of filters generally defined by the schematic. It will be necessary to evaluate the available feature ranges, e.g. quality, pass-band current transfer, dynamic range within a defined supply voltage, sensitivity, etc. In the case of finding the quality range, the point is to find the extremes of a multi-variable non-linear function. Mathematical tools (e.g. Maple or MathCAD) will first be used for this purpose; afterwards the algorithm itself will be designed. Requirements to be met by the candidate: algorithm thinking, the knowledge of computer programming and circuit theory.
The work focuses on a design, simulation and realization of fiber-optic sensors. These systems use conventional single-mode telecommunication fiber, multimode fiber, plastic POF (Plastic Optical Fiber), microstructure fiber, or other special types of fibers as a sensor or fiber serves as a transmission medium from sensors. By using of scattering phenomena (Raman scattering, Brillouin scattering, Rayleigh scattering), eventually by change of some parameters of an optical signal (changes in intensity, phase, polarization, spectrum, etc.) it is possible to obtain information about many physical quantities along the optical fiber.
The topic deals with analog electronic circuits of fractional order. These circuits are characterized by non-integer power of a complex variable in the characteristic equation. The aim is to find new frequency filters, oscillators, synthetic immittance elements, PID controllers and other fractional-order circuits. These circuits will provide more general characteristics compared to their integer-order counterparts. Mathematical description, modeling, implementation and practical use of these circuits are also included.
Tutor: Kubánek David, doc. Ing., Ph.D.
The thesis is focused on research of new fully-differential and single-ended analogue structures with minimum transistor number. The goal is to design solutions (frequency filters, oscillators, etc.) with high-frequency operational frequencies in band over 100 MHz. The workability of designed solutions will be confirmed by simulations and/or by experimental measurements.
Tutor: Jeřábek Jan, doc. Ing., Ph.D.
The goal of the dissertation thesis is to analyze feasible entropy sources, techniques of an entropy accumulation, techniques of bit sequences derivation and techniques of statistical corrections. Next goal is to suggest optimal designs for hybrid random bit generators for common scenarios.
Many demanding tasks can be formulated as optimization problems - segmentation, denoising, decompression, dequantization, classification.
The thesis is focused on research of novel structures of chemical current conveyors and their utilization as sensors in biomedical systems. The aim is to design novel structures of chemical current conveyors of first-, second-, third-generation or with voltage differencing inputs and their utilization in measurement systems for sensing basic biomedical quantities.
Tutor: Herencsár Norbert, doc. Ing., Ph.D.
The main challenge of this work will be to design an intelligent communication system for managing the power grid and for early identification of threats in energy infrastructure to secure a fast recovery of power supply. That means to make a research in the area of appropriate communication channels, also to design and develop low-power communication units with independent power supply on measured power sources.
The work will be focused on analysis of the current error control systems in wired and wireless transmission systems and design of alternative approaches using LDPC (Low-Density Parity-Check) codes. The goal will be mainly to utilize new codes and approaches. Today the CRC code and the RS-code with interleaving are often used. Based on this groundwork the new approaches to solving these systems will be introduced.
Tutor: Šilhavý Pavel, doc. Ing., Ph.D.
OS Linux is used for implementing a great number of network services in the Internet, such as large-scale data repositories. The student will analyse the access to these services. Using the data obtained, modifications will be proposed to optimize the running of the network services in OS Linux.
The goal of Ph.D. thesis is the research of current methods for mobile network performance assessment, their critical evaluation from the point of view of how difficult and costly the measurements are, and the design of new methods that utilize data obtained by data flow analysis from common subscribers. The design of new key performance indicators that reflects current demands on mobile networks and the design of algorithms how to calculate them are additional goals of the thesis
The goal of the dissertation thesis is to design a general model for data backup. Different backup systems and different backup strategies must be quantitatively evaluated by this model.
The topic is focused on privacy protection and authentication using modern cryptography. The student will learn the fundamentals of modern cryptographic protocol construction. This knowledge will be later used during the construction of own systems for secure authentication, their optimization and related implementation aspects concerning tamper-proof devices.
Tutor: Hajný Jan, doc. Ing., Ph.D.
Multitone modulations are today frequently used modulation techniques, e.g. in ADSL, VDSL, PLC, DVB-T, DVB-T2, WLAN IEEE 802.11a, g, n technologies. In all the above mentioned systems the known and well described modulation DMT (Discrete MultiTone) or OFDM (Orthogonal Frequency Division Multiplexing) is used. The work will be focused on possibilities of utilization of multicarrier modulations in optical transmission systems.
A wide spectrum of brain diseases (e.g. Parkinson’s and Alzheimer’s disease, dementia with Lewy bodies, essential tremor) is reflected in handwriting/drawing. It is possible to observe disrupted dynamics, improper coordination of muscles, cognitive deficits, etc. Thanks to the state-of-the-art graphic tablets it is already possible to sufficiently digitize handwriting/drawing and perform paraclinical analysis that can be used for disease diagnosis and monitoring. The aim of this work is to design new methods of parameterization and statistical handwriting/drawing processing that can be used for different dysgraphia’s dimensions description, and that will be used for monitoring of disease progress.
Tutor: Mekyska Jiří, doc. Ing., Ph.D.
In an object-based audio system, the different sound elements are bundled with metadata to form audio objects. This metadata then describes how the sound element should be reproduced to the listener, by defining its position in the 3D field, regardless the sound reinforcement system. Currently there are a number of approaches for positioning the audio objects, particularly ambisonics, VBAP, DirAC, and wavefield synthesis. Each of them has its advantages and disadvantages. The aim of this doctoral thesis is to analyze the possibilities of using these methods in real installations and to design and test new algorithms for positioning audio objects in 3D space.
Tutor: Schimmel Jiří, doc. Ing., Ph.D.
The scope of the Ph.D. thesis is a research of methods for generation of sparse and narrow optical pulses with power range from tens of miliwatts up to ones of watts and analysis of properties of particular generators including the design of new solutions
The thesis is focused on research and optimization of analog circuit structures (frequency filters, oscillators, synthetic inductors, etc.) only on transistor level. The aim is to design a low-voltage and low-power applications by using of influences of transistor parasitics that work in frequency range tens of MHz. The workability of proposed circuits will be proved by SPICE simulations and/or via experiments.
In many areas of audio signal processing, eg. in speech processing, lossy coding of audio signals or in objective assessment of the sound quality, methods based on a model of human hearing are used. The aim of the study is research of these methods for use in other areas, especially for analysis of the sound of musical instruments and for analysis of the listening rooms, and research of modification of existing models of human hearing for applications in these areas.
Parkinson’s disease is the second most frequent neurodegenerative disorder, which is characteristic by several motor and non-motor features. In the case of motor ones we can observe resting tremor, freezing of gait, improper coordination of movements, frequent falls, problems with stability, etc. The state-of-the-art devices like smartphones, smartwatches and smartbracelets are able to acquire information about movement that can be further processed. The aim of this work is to research parameterization methods of signals coming from gyroscopes and accelerometers, and use these methods for treatment effect monitoring, treatment individualization and patient’s health assessment.
Peer-to-peer networks are commonly used for data transfer between a large number of the Internet users. These networks have a number of issues to be solved, such as implementation of the security measures on all the nodes and optimization of the logical topology. Example peer-to-peer networks are BitTorrent, Bitcoin and Skype.
The study topic deals with open-source network operating systems. An analysis of the threads and attacks on operating systems will be done. The student will propose methods for prevention of such attacks.
This topic would include cooperation with EPFL Lausanne.
The thesis is focused on possibilities of simulation and emulation of general mem-systems (memresistors especially, then memcapacitors and meminductors) in SPICE simulators, useful for various type of application. Models and emulator of several types should be analyzed (numeric, analytical, behavioral, of fractional order) a when considering both the analog and digital techniques. During synthesis, it is advised to use the methods of automated design and verification. Attention should be also focused on experimental verification of particular solutions, especially in area of analog signal processing.
Design of communication infrastructure of Smart Grid is a complex issue, where the role models and simulations are crucial. The main focus of the work is to design a comprehensive model for considered communication variants for smart grid in the energy sector. This model should be tested in the simulation environment. Choosing an appropriate technology is for DSOs the hardest task. This reason leads to the next task of the work to design and experimentally verify the methodology of evaluation of ICT technologies in smart grid.
The spatiotemporal visualization method display the cumulative development of the sound field as a function of direction by forward-integrating the energy in the impulse response in short time frames. The motivation for the approach is the presentation of spatial sound field of listening rooms in format that enables quick comparison between rooms and emphasizes subjectively important aspects of the room.The aim of this work is to find new objective metrics using the spatiotemporal analysis and compare them with the subjective assessment of the quality of the listening room.
The fundamental frequency is the one of the important parameters of the speech signal. Its estimation is due to the nonstationary of speech signal quite difficult. Empirical mode decomposition is an advanced method for analyzing nonstationary signals based on signal decomposition into intrinsic mode functions adapted to the base signal content. The instantaneous frequency, among other parameters, can be determine using the Hilbert transform. The content of the dissertation research will be research of the basic method of detection frequency tone and its comparison with other known methods.
First step for analysis of images (especially for biomedical use) image segmentation. The objective of this thesis is to develop a method based on machine learning, with with the help of the machine training will learn how to segment an image according to the given template. With the help of massively parallel hardware more advanced approaches can be explored when compared to possibilities of conventional processors.
The topic aims at the research into utilization of resistive-capacitive elements with distributed parameters (RC-EDP) in electrical circuits especially with modern active elements (conveyors, current amplifiers etc.). In particular it will include design of so-called fractal circuits which have non-integer order of transfer or immittance function and which can be implemented by RC-EDPs. It is expected proposing new frequency filters, oscillators, synthetic immittance elements and other circuits. The aim will be improving properties compared to existing circuits (reducing dimensions, increasing response speed, decreasing power consumption etc.) and moreover obtaining characteristics that cannot be realized by classical elements or only at the cost of using complex structures.
Trend of modern data networks is characterized by transition from specialize hardware based network components towards components based on powerful unified hardware that can be customized by software and its configuration to particular network function. Thanks to virtualization platforms it is possible to introduce it in distributed form. The goal of PhD thesis is to make research of potential of network function virtualization, and design of new network applications.
The study topic is focused on data-mining of the freely accessible information available on social networks, such as Facebook or Twitter. This information will be used for modification of IP communication by analysing the behaviour of Internet users. An example use is for prevention of cyber-criminality.
The study topic is focused on research methods for measurement and evaluation data parameters of heterogeneous communication networks in terms of end-user access to the Internet and other services.
Tutor: Zeman Václav, doc. Ing., Ph.D.
Apriori known signal characteristics can be used to accelerate the measurements of MRI scans. The study would focus on the use of these properties and their inherited techniques.
The aim is to analyse the up-to-date development and trends in the area of cyber security management / information management. The research will be focused especially on ISO/IEC 27 000 standards, COBIT®, ITIL® and other relevant frameworks. The practical part of research will be focused on implementation of surveyed standards, methodologies, libraries and other frameworks in Microsoft Server environment, in order to prevent cyber attacks. Based on the findings is expected proposal of innovative management methods in the area of cyber / information security. Research requires knowledge of information/cyber security management, networking, cryptography, and last but not least, the experience with the management and administration of MS Server 2012.
The rapid development of advanced wireless technologies opens the door for new services and applications. One of the fastest-growing areas is called Wearables including applications like smart watches, glasses with augmented reality, sports supplements, etc. Wearables are closely connected with to their user and provide him with previously unthinkable features and services. As communication channel, the wearables mostly utilize modern wireless or mobile technologies. Since it is a relatively new industry, but rapidly growing, there are numbers of problems as ensuring the required level of quality of service (QoS), secure sharing of sensitive data or satisfying user requirements. Following this, the thesis will deal with the proposal and subsequent practical verification of effective communication platform, which will take into account all the above requirements. The proposed platform and associated communication algorithms will be tested and evaluated by selected simulation tools and also directly under experimental conditions.
Telematic systems are particularly common in transport. Research into telematic systems based on the Internet protocol will be focused on the design of sophisticated, i.e. well-considered, formally well-developed and complicated methods that use IP systems in various areas. Surveillance and protection systems, systems of paying the fare, information systems and interactive applications, etc. are supposed in particular. Localization by GPS, vehicle diagnostics, and vehicle monitoring on ortho-maps in real situations are in the focus. Sophisticated telematic systems will be software simulated, optimized and subsequently hardware realized in the form of functional specimens. Communication between two cars without a driver intervention, collision avoidance, information transmission about traffic from the places cars left are expected. A highly accurate navigation system based on Galileo system (GNSS) for controlling functional blocks of cars are considered.
This topic is focused on design of two-ports, filtering circuits especially and oscillators for instance, with possibility to externally and electronically change significant parameters of the circuit and in the case of filter also change of type of frequency response. Design with fractional-order element sis also expected. Available active elements are supposed to be used as it is or in modified variants. Simulations not only with simple models but also with transistor-level structures are expected. When verified by experimental measurement, behavioural modelling is preferred.
Material recognition is applied in many sectors of industry, for example for the quality control of raw materials. Elemental composition of material can be measured using laser induced breakdown spectroscopy (LIBS). The objective of the thesis is to propose signal processing methods with the use of machine learning to recognize a type of the material.
Transmission parameters NGA - Next Generation Access (NGA networks) are dependent on many factors - on the operational load, on the structure of transmitted services and many other parameters, which change over time. Various IP services transmitted over the network NGA are sensitive to the change of transmission and qualitative parameters of NGA infrastructure. The need for monitoring the transmission parameters of NGA networks grows over time, its depends on the location / node / element / network segment, depends on the transferred services and also depends on the connection (backhaul) network and backbone network NGN (Next Generation Network). The aim is to choose the appropriate test methodology, to design a diagnostic method and technical solutions, ie. performance of appropriate diagnostic and measure equipment including data collection and evaluation gained results. Toto by bylopro Bc. David Grenar
The vulnerability of the IEEE 802.11, attacks on the security methods and the methods for its effectiveness. Wireless network security issues expected standards IEEE 802.11. A detailed introduction to these standards, describe the various types of wireless security, including their properties and the subsequent theoretical analysis. The implementation of the attacks on the various methods of modern security algorithms, emphasis will be placed on the identification of weaknesses of 802.11 protocols. On the basis of the findings will be designed and tested security more effective. Attention will be paid to the security quality of service QoS in 802.11 networks. The network will be subject to examination by appropriate programs and simulators (Opnet Modeler, NS2). Will also be examined according to modern services (IP phones, the transmission of video, voice, multimedia) to delay and to be performed, including an overall analysis to the QoS optimization.
The theme is focused on the research of novel methods for analysis of incomplete spatial information captured in digital images. These source data can be represented by temporal or spatial sequences eventually by a single image whereas the analysis should result from a given scene geometry.
Parkinson's disease (PD) is the second most common neurodegenerative disorder which is characterized by different motor and non-motor clinical symptoms. The motor symptom includes hypokinetic dysarthria (HD), which occurs in 90% of patients. HD generally impairs motor realization of speech and affects the area of phonation, articulation, prosody, fluency and faciokinesis. Motor and cognitive functions are evaluated using different scales, for example. UPDRS (Unified Parkinson's Disease Rating Scale), FOG (Freezing of Gait), MMSE (Mini-Mental State Examination), etc. The aim of this thesis is to research new methods of HD parameterization of statistics by which it would be possible to estimate the values of different speech scales used to describe PN, and predict their change over time.
The trend in decreasing the supply voltage and energy consumption of electronic devices causes increased demands on analogue active elements that are employed in function blocks, which are processing signals of amplitudes close to the noise level. To reject the noise, the fully-differential circuit solutions are used with advantage. The dissertation thesis is focused on the design of frequency filters referred to as pseudo-differential that compared to fully-differential solutions feature less complex circuit realization, however, other characteristic parameters are maintained.
Tutor: Koton Jaroslav, prof. Ing., Ph.D.
The aim is to analyse the up-to-date development and trends in the area of converged networks, mainly the problems of protection against cybernetic attacks. The areas of 5G mobile, SDN and consequential transmission technologies are seemed to be among the advanced possibilities. The design of innovative or new protection methods is supposed to be on the basis of obtained observation. Research requires a summary of networks area, practice with MATALB or SCILAB programs, or knowledge of at least one of VHDL, C or Java languages, system FPGA, evolutionary algorithms, etc.
The work will focus on research in the field of IP telephony security. It will include an analysis of protocols that providing VoIP telephony, known attacks, design and verification of new attacks. On the basis of the analyses will be proposed approaches to eliminate or minimize the impact of researched attacks on VoIP traffic. Individual approaches will be tested in practical implementations.
The topic is focused on the description of cryptographic modules and on the research of the influence of side channels on the security of these modules.
Hypokinetic dysarthria is a disruption of motor speech realization which is manifested in different fields like phonation, articulation, prosody or speech fluency. Patients with HD usually speak monotonously, with lowered intensity, poor voice quality, improper pausing and articulation, dysprosody, etc. A scale of dysgraphia rating and assessment exists in Czech language. Thanks to it we can propose effective treatment methods. The speech disorders can be sufficiently assessed using Test 3F that describes dysarthria in 3 domains: F1 faciokinesis, F2 phonorespiration, F3 phonetics. The resulting dysarthric index DX is rating the dysgraphia. The aim of this work is to research speech parameters that significantly correlate with particular 3F Test scores and that can be used for objective dysgraphia rating and monitoring in time.