Search Results (48)
Chirality and nanoparticles enforced stabilization of topological defects in liquid crystals
Of our main interest in this work is the stabilization of assemblies of topological defects (TDs) in liquid crystals (LCs). Due to the topological origin of TDs, the physics of defects is of interest for all branches of physics, including condensed matter systems, particle physics, and cosmology. LCs represent an …
Optical emission spectroscopy as a tool for monitoring cold atmospheric pressure plasma processes
Non-equilibrium atmospheric pressure plasmas are used in many areas, such as food and agriculture, plasma medicine, plasma surface modification, material synthesis and deposition. Because of their versatility, many plasma setups have been developed. Of greater interest are those that operate at atmospheric pressure, like atmospheric pressure plasma jets (APPJs). Regarding …
Classification of wireless links using machine learning techniques
Due to the nature of the wireless transmission medium, wireless communications are characterised by notably larger losses of data packets than wired communications. The quality of wireless links is highly dependent on channel variations, interference and even transceiver imperfections. Such link uncertainty instigated the development of numerous techniques that can …
Surfaces and interfaces in the growth of SrTiO3 on Si by pulsed laser deposition
SrTiO3 (STO) thin films are used as buffer layers that enable epitaxial integration of various functional oxides with silicon. When pulsed laser deposition (PLD) is used to grow STO on Si, a thin amorphous layer is formed at the STO-Si interface that limits the use of such heterostructures in certain …
Parametrična in neparametrična metoda za nastavljanje parametrov PI/PID regulatorjev za integrirne procese na podlagi amplitudnega optimuma
Integrating systems are commonly found in power and paper mills, aerospace control systems, storage tanks, distillation columns, chemical reactors, and petroleum industries. Due to their open-loop instability resulting in an unconstrained output for a constrained input, efficient control of integrating processes is challenging. Control of integrating processes has attracted the …
Femtosecond relaxation dynamics in collective-electronic-state materials: cuprate and iron-pnictide superconductors and charge-density wave systems
This thesis covers a study of the photoexcited relaxation dynamics in superconducting ironbased pnictides, cuprates and charge-density wave systems by means of femtosecond laser spectroscopy. To examine the temperature and fluence dependence of photoinduced reflectivity transients ΔR/R in iron-based pnictides and cuprates, we apply a standard double pump-probe technique, while …
Investigations and separation of various contributions to dielectric response of advanced ceramic and polymeric materials
Dielectric materials, used to control and store charges and electric energy, play a key role in modern electronics and electric power systems. Dielectric spectroscopy is a versatile method, well-suited for detection, separation and characterization of various contributions to dielectric response of advanced ceramic and polymeric materials, as it enables understanding …
Study of polar ordering in ordered and partial disordered ferroelectric systems
This work presents experimental studies of ordering phenomena, electromechanical and electrocaloric properties in single crystal, ceramic and solid solution relaxor ferroelectrics and single crystal ferroelectric materials. The main aim of investigations is to prove the existence of a liquid-vapor critical point in these systems and to verify its impact on …
Effect of coupling between external factors and building materials' properties on living conditions deterioration in low-energy buildings
Buildings are complex systems as external factors are linked to, and have an effect on the characteristics of a building. In this dissertation, the focus is on the connection between external factors and the building’s characteristics, which have an impact on the living conditions, durability and energy efficiency of a …
Algorithms for Learning Regression Trees and Ensembles on Evolving Data Streams
In this thesis we address the problem of learning various types of decision trees from timechanging data streams. In particular, we study online machine learning algorithms for learning regression trees, linear model trees, option trees for regression, multi-target model trees, and ensembles of model trees from data streams. These are …