čas: 16.10.2021 19:25:33
Obnovit | RAW
Department of Computing and Control Engineering
List of available PhD theses
Advanced Methods of Adaptive Filtering for Novelty Detection
The topic of the work is focused on the development and implementation of the methodology of so-called novelty detection in process data. The project is based on the analysis of selected real (complex) process data. The work assumes (i) study of advanced methods of signal analysis, (ii) design of specific methods and algorithms for adaptive data filtering and novelty detection using the Extrem Seeking Entropy method (iii) implementation and verification.
Advanced Signal Processing Methods in Development of Virtual Control Board
The project is devoted to design of virtual control board of selected real technological process. The work is based on analysis of selected biomedical data, 3D modelling and virtual reality. The project assumes (i) study of advanced methods of biomedical signal analysis and 3D modelling (ii) the proposal of specific algorithms for virtualisation, 3D modelling and process control, (iii) implementation and verification.
Advanced methods of facial data analysis for the evaluation of the rehabilitation process
Analysis of biomedical data is currently in great demand, but at the same time quite a difficult task. The project is based on cooperation with the University Hospital Královské Vinohrady and is focused on capturing 3D facial data of patients after depth surgery and analysis of this data. The work assumes (i) the study of advanced methods of image analysis, (ii) the design of a specific methodology and algorithm for data acquisition using various HW tools: Kinect, mobile phone, etc.), (iii) processing of these biomedical data and (iv) implementation and verification in a hospital environment.
Application of data mining methods for monitoring and control of biotechnological processes
In the research of biotechnological processes, experimental data of various structure and quality are generated. However, this highly heterogeneous data contains important information about the properties of these processes. This work is focused on the study and application of selected methods in the field of artificial intelligence and machine learning in the processing of this data. The acquired knowledge will then be used for advanced monitoring and control of the selected model biotechnological process.
Application of spatial analysis methods for forensic sciences
Most of the data processed within the forensic sciences also includes a spatial component indicating the position of the described objects (eg GPS data). An important part of computer processing of this type of data thus includes the application of advanced methods of spatial analysis to determine selected contexts contained in the data. This work is specifically focused on advanced data processing and analysis describing the findings of various types of projectiles in the investigated terrain.
Design of high performance flexible supercapacitors based on cellulose nanofibrils and conductive polymers
The present project aims at designing of novel, flexible and lightweight electrodes based on sustainable materials. Electrodes will be then used for development of high performance supercapacitors with tailored structure and high capacitance. Herein, the emerging bio-sourced cellulose nanofibrils (CNF) will be employed as a matrix to prepare supercapacitor electrodes with electrically conducting polymers (ECP) and nanofillers (e.g. carbon nanomaterials). CNF will act as a mechanical skeleton capable of high deformation and as a useful template for tailoring functionalities and preparing porous networks in form of films. New approaches of polymer/nanofiller compatibilization will be investigated to combine together different materials and different properties into free-standing CNF-ECP based electrode films with optimal morphology and properties. The electrodes exhibiting the best capacitances, flexibility and thermal stability will be used in fabrication and testing of supercapacitor devices.
Development of modern electromagnetic radiation shields as passive protection of information against eavesdropping
The proliferation of modern electronics, integrated circuits, microprocessors and communication and computer technology in general brings with it a high risk of disclosing critical information about the infrastructure in which these elements are used. In the extreme case, there may be a leak or takeover of administrative privileges, which can be misused for digital vandalism, disclosure of important information or attacks on the infrastructure itself. One of the very effective and difficult to detect methods of these attacks is the remote eavesdropping on information that is emanated from electronic devices in the form of electric or magnetic fields. With the development of inexpensive radio technology and as a result of readily available libraries and signal processing algorithms, such an attack may no longer be the sole domain of rich, state-sponsored organizations, but may gradually be adopted by the mainstream hacking community and misused for criminal purposes.
The aim of this work is to explore the possibilities and develop and test light and flexible protective shields based on modern nanomaterials, which will serve as an effective passive protection of electronic devices against remote eavesdropping. For this purpose, new composite materials based on electrically conductive nanoparticles with magnetic properties will be prepared. The possibilities of their compatibility with the carrier, chemical structure and morphology, mechanical, electrical and magnetic properties and methods and the possibilities of their processing into the required shape and form suitable for use in miniature electronics will be studied. The experiments will also include testing passive shields in simulated and real conditions and evaluating their ability to dampen electromagnetic waves emitted by electronic devices.
Elaboration of environmentally benign composites for shielding of electromagnetic interference
The project deals with design of environmentally benign composites in form of flexible free-standing films for electromagnetic interference (EMI) shielding application. The composites will be prepared from bio-sourced cellulose fillers and efficient receptors of EMI (e.g. supramolecular conducting polymers, carbon nanotubes, graphene, etc.) Novel approaches of matrix/receptor compatibilization will be designed. In addition, fundamental aspects governing the behavior of the composites will be studied to understand the interactions occurring between the phases of the composites and the structure-properties relationships. Thorough experiments in the DC and AC electrical field on the composites and their components will be performed to reveal patterns driving the resulting shielding efficiency. Finally, the synergetic effect of both receptors leading to the controllable EMI shielding efficiency by absorption or reflection will be studied.
Micro-cybernetics and Micro-robotics in chemistry
The topic of the work is focused on the development and management of the so-called microrobots and their formations. The project is based on cooperation with the Institute of Chemical Engineering, where they have been dealing with the movement of microparticles for a long time. The work assumes (i) the study of advanced methods of electron microscope image analysis, (ii) the design of specific methods and algorithms for guiding, controlling and optimizing the path of motion of microrobots and (iii) the implementation and verification.
Natural Fibre Reinforced Thermoplactics for Structural Applications
The recent increase in use of woven fibre composites is a direct outcome of technical advances in materials development and manufacturing technologies. This class of composites is of intense interest for applications in operational structures, where durability and damage tolerance are first-rank considerations; thus, understanding damage is of key importance for applications where the ability to maintain structural health during operational life andthusincreasing overall reliability are top priorities. In spite of this, the study of their mechanical properties, in particular the damage resistance of these materials, is still in its infancy, and one of the main sourcesof conservatism in their use is uncertainty regarding damage characterization and failure initiation. Existing work on short (unwoven) vegetal-fibre composites shows that incorporation of vegetal fibres shows great promise. This study will focus on fabrication and failure characterization vianNon-DdestructiveEevaluation (NDE) of an emerging class of laminated composite materials, viz. those based on a thermoplastic matrix reinforced with woven vegetable-based fibre fabric layers. A particular focus will be given to flax fibre fabrics included in a thermoplastic acrylic matrix byvVacuum-aAssistedrResiniInfusion (VARI). Such composites have the following advantages: i) the use of bio-based and biodegradable fibres as replacement for conventional synthetic fibres, ii) the use of a recyclable matrix by crushing/reshaping or depolymerisation, iii) therRoom-tTemperature (RT) manufacturing process that may limit thermal degradation of the flax fibre (including its physicochemical treatment) despite the inherent heat release induced by the matrix polymerization. To reach optimal mechanical properties in terms of stress transfer from matrix to fibre, good fibre-matrix interface compatibilization and adhesion will be required. Once composite manufacturing is optimized, a manufacturability of these materials and their failure during their life cycle will be performed.
Protective shields for autonomous systems against electromagnetic interference
The rapid advent of autonomous systems such as robotic assistants, drones or self-driving vehicles has inevitably brought with it an increase in the use of positioning devices, such as microwave sensors, or advanced lidar, radar or radio technology. This also increases the likelihood of the occurrence of undesired interferences of this electromagnetic wave with the integrated circuits of the autonomous device, which may in turn lead to an increased probability of the occurrence of dangerous phenomena, including accidents and loss of life.
The aim of this work is therefore to develop new materials for the attenuation of electromagnetic interference and to apply them as protective shields in the operating area of the electromagnetic spectrum of existing positioning systems. The work will focus on the search, synthesis and characterization of suitable electrical and magnetic materials and their nanostructured analogues and the subsequent design, manufacture and testing of new lightweight and flexible shields. Part of the work will also be modelling and evaluation of the shielding efficiency of protective shields in simulated and real conditions of operation of autonomous systems.
Sensor arrays of tactile temperature and pressure sensors
Tactile temperature or pressure sensors are devices used in robotics to evaluate the robot's interaction with other objects. These include, for example, manipulating an object, measuring the slip of a gripped object, determining the coordinates of the position of the object or measuring the magnitude of the force acting on the object. The extreme case is complex tactile systems, the purpose of which is to simulate and replace human touch. The sensors used for these purposes must be sufficiently miniature, sensitive to small changes in pressure, must have favorable dynamic properties and time and operational stability of the parameters. Due to the expected high density of tactile sensors connected in simple applications, there must be the possibility of their operation in the form of sensor arrays and data processing using advanced mathematical and statistical algorithms. Last but not least, the cost of producing them must be reasonable so that they can be easily replaced in the event of wear.
The aim of this work is therefore to develop new types of tactile temperature and pressure sensors based on modern nanomaterials, which can be used in experiments with the measurement of temporally and spatially distributed forces acting on the matrix of sensors. Part of the work will be the preparation, characterization and processing of thermoelectric and piezoresistive materials based on organic nanostructured semiconductors and carbon nanostructures. Testing of these substances will include, inter alia, structural, chemical and mechanical analysis and measurement of electrical properties in both direct and alternating electric fields. Selected materials will then be processed into sensitive sensors. Part of this work will also be the design of sensor arrays and their testing and signal processing using advanced algorithms.
Software sensors for monitoring of bioprocesses
The quality of process control of biotechnological production processes used in the pharmacy and food industry is often constrained by the limited possibilities of on-line measurement of key process parameters (e.g. cell concentration, growth rate, production rate, etc.). One possible solution is the use of software sensors to continually estimate the values of key process indicators from on-line measurable process variables. The proposed work is focused on the study and application of the above methods for advanced monitoring of a selected biotechnological process.
Synthesis and characterization of composite materials for silicon-based batteries
Silicon is considered as the most promising anode material for the next-generation Li-ion batteries because of its high theoretical specific capacity, wide elemental abundance and low discharge potential. Yet there are still too many serious issues that must be resolved before Si-based batteries are utilized, mostly related to the huge volume expansion of Si upon lithiation and the formation of the superficial oxide layer. Here we propose to develop tailored conductive and flexible matrixes based on nanoengineered Si nanocrystals (SiNC) embedded in a conductive and flexible carbon-based matrix that would incorporate a combination of binding, elastic, and conducting properties. Fundamental mechanisms related to the initial and long-term degradation of capacity in the nanosilicon materials will be investigated and conclusions will be drawn.
The importance of topological indices for determining the similarity of molecules
Using molecular descriptors, it is possible to mathematically describe molecules. This is applied in many fields where it is necessary to look for new substances with specific properties or to predict unknown properties of substances. An important type of molecular descriptors are the so-called topological indices, which characterize a given molecule according to its size, degree of branching and overall shape. The work assumes (i) study of various types of molecular descriptors, especially topological indices (ii) study of correlations of specific topological indices with properties of molecules (iii) comparison of algorithmic complexity for calculation of specific topological indices (iv) implementation of selected algorithms for calculation of specific topological indices.