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Original title in Czech: Kybernetika, automatizace a měřeníFEKTAbbreviation: PP-KAMAcad. year: 2011/2012
Programme: Electrical Engineering and Communication
Length of Study: 4 years
Profile
Goals of this program are to educate most qualified specialists for research and scientific development as well.
Key learning outcomes
Graduates have outstanding knowledge in special area, determined by his/her PhD. project. Special orientation is given by thesis;graduates are qualified for high positions in all branch. Leader of research team,managers in industry.
Occupational profiles of graduates with examples
The graduate of the subject field obtains broad knowledge of subject of cybernetics control and/or measuremet. The knowledge is build mainly on theoretical background of the subject. Moreover the graduate will obtain deep special knowledge aimed in direction of his/her thesis. The graduate will be able to perform scientific and/or applied research based on up to date theoretical knowledge. The graduate will be able to organize and lead a team of researchers in the studied subject.
Guarantor
prof. Ing. Pavel Václavek, Ph.D.
Issued topics of Doctoral Study Program
This work is focused on the advanced signal processing methods for time localization and identification acoustic emission event in noisy environment. The main aim of the thesis is an analysis and optimization of algorithm based on Wigner-Ville distribution and Hilbert-Huang transformation for nonstationary diagnostic signal.
Tutor: Beneš Petr, doc. Ing., Ph.D.
The goal of the work is analysis and synthesis of control algorithm and navigation techniques for control and navigation microcopters designed for reconnaissance missions in indoor space or in urban areas. Both linear and nonlinear methods of control methods should be studied and compared as to their feasibility. Similarly various means of navigation should be considered together with possibility of their fusion. Final control system should enable an easy human operation or fully autonomous flight of the robot.
Tutor: Šolc František, prof. Ing., CSc.
The aims of the thesis are design and implementation of an evolutionary programming algorithm based on the new evolution theory – the frozen plasticity (Flegr, 1998). The main features of the new approach are coding of the solution into the whole population of individuals, application of game theory in the process of evolution and existence of two states of the population (frozen, plastic) that distinguish the local optimization from the escape from the local optimum. The skills required are: knowledge in parallel programming using multi-core computers and grids; knowledge of optimization algorithms and their decentralized applications; knowledge of the game theory and evolution theories.
Tutor: Honzík Petr, Ing., Ph.D.
Methods for diagnosis of technical systems based on model of the system and model of the environment. Research in the field of low level diagnosis of systems where methods are based on generic desrtiption of system, relevant physical properties, static and dynamic properties of the system, static and dynamic properties of the environment aiming to enable estimation of validity of the system output data. In the elementary case the system is a simple sensor. Basic literature: De Kleer J, Kurien J.: Fundamentals of model-based diagnosis. Proceedings of IFAC-SAFEPROCESS 2003, June 2003, Washington, pp 1-12 Thagard, P., Cameron S.:Abductive reasoning: Logic, visual thinking, and coherence, 1997, zdroj: http://cogprints.org/671/
Tutor: Fiedler Petr, doc. Ing., Ph.D.
Familiarize yourself with autonomous indoor navigation methods and algorithms for mobile robots. Focus mainly to so-called SLAM (Self-localisation and Mapping) methods using lidars - laser proximity scanners, inertial navigation and odometry. Propose and realize your own method for indoor navigation in unknown environment with six degrees-of-freedom (6-DOF). Make a proposal of an appropriate methodic for 6-DOF selflocalisation testing. Choose a matching method/s and make careful comparison of your method with a reference method.
Tutor: Žalud Luděk, prof. Ing., Ph.D.
Nowadays, each new vehicle is equipped with more than 40 embedded processors. More and more cars in the future will be equipped with Wi-Fi, 3G or UMTS facilities. These facts are important from two points of view. Firstly it will appeal for new generation of Intelligent Transport Control Systems (ITCS) based on vehicle on-board communication and calculation capabilities which permits to consider it as an intelligent sensor helping to estimate the traffic network state. Secondly the necessary bandwidth allocated to this communication will transform an ad hoc traffic network of vehicles equipped with sensors and on-board processing and storage capability to an ad hoc cluster of sensors and grid computers. So based on the information gathered by each individual vehicle and its sharing make possible constructing of a scalable and costly reduced Intelligent Traffic Control System (ITCS) with the objective to render our traffic network more fluid, more sure and thus reduce the need for its (costly) capacity increasing. The focus of this PhD will be the Optimal On-board Dedicated Calculator (ODC) resources allocation with respect to the state of traffic network, echo-friendly and control objectives. Optimization of the Hybrid Electrical Vehicle on-board energy sources composed of batteries and super capacities, with respect to traffic network state will be considered as case study.
Tutor: Zezulka František, prof. Ing., CSc.
This work is focused on the analysis and optimization of algorithms for communication and MAC in wireless distributed systems. The analysis and optimization are with the near real-time communication for different data flows demands (isochronous, period, aperiodic, ...) and optimization of power consumption. The solution is based on a model of existing access control mechanisms TDMA and CSMA, providing quantification of energy consumption of the mechanisms for different data flows.
Tutor: Kučera Pavel, Ing., Ph.D.
Familiarize yourself with autonomous outdoor self-localisation and navigation methods. Focus mainly to so-called SLAM (Self-localisation and Mapping) methods using 3D laser proximity scanners (lidars), inertial navigation and global satellite navigation systems, including real-time kinamatics. Propose and realize your own method for outdoor navigation in unknown environment with six degrees-of-freedom (6-DOF). Make a proposal of an appropriate methodic for 6-DOF selflocalisation testing. Choose a matching method/s and make careful comparison of your method with a reference method.
Procedures and algorithms designed to analyze the measured data.
The topic of the thesis follows the need for research and verification of non-contact measurement methods under the subpixel accuracy. The main aim of the thesis is a theoretical platform of interpolation methods intended for accurate measurements of dimensions and orientations of objects in the image. The achieved measuring accuracy shall exceed the nominal resolution of sensor such as CCD. Statistical methods of subpixel interpolation can be based both on the isolated pixels (PSF influence), as well as on the boundary representation of objects. Accuracy verification of the proposed methods has to be made on some typical application such as sub-pixel correlation for area-based matching.
Tutor: Horák Karel, Ing., Ph.D.
Methods for diagnosis of technical systems based on ontologies and data fusion. Ontology based description of a system and its components enables to use data fusion methods for purposes of diagnosis. Aim of the work is to define suitable ontology and define diagnostic engine working above this ontology. Basic literature: Mitchell, H.B, Multi-Sensor Data Fusion: An Introduction, Springer, 2007
This topic is focused to the uncertainty measurement of the calibration system for vibration transducers.