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The presence of steroid estrogens in the environment has been studied intensively for two decades because of their possible deleterious effects on living organisms at very low (ng/L) concentrations. To determine concentrations of steroid estrogens and the estrogenic potential of environmental samples, sophisticated and sensitive analytical techniques as well as …

Titanium dioxide (TiO2) in nanoparticle form has recently gained a lot of attention, in both the scientific and industrial communities. This is due to the fact that it exhibits various interesting chemical and physical characteristics, for example, a high photocatalytic activity and the absorption of incident UV light. Many applications …

A new approach for the synthesis of silver (Ag), platinum (Pt) and gold (Au) nanoparticles and their composites with hydroxyapatite (HAp) is developed via a sonochemical process. The major goal was to design physicochemical properties of material in order to achieve: (i) intensive antibacterial activity and (ii) maximal reduction of …

The task of mathematical modeling of dynamic systems from observed system behavior, widely known under the name of system identification, breaks down into two subtasks. The first task, referred to as structure identification, is to specify the model structure, i.e., the functional form of the model. In practice, the model …

SRAM-based FPGAs have become an attractive solution for many applications where a short development time, low-cost for low-production volumes, and in-the-field-programming ability are important issues. The flexibility of SRAM-based FPGAs comes from the adoption of a configuration memory that defines the operations of the circuit that the FPGA implements. It …

In this thesis we demonstrate a new, simple, and ecient method for the solid-state synthesis of oxides with a complex chemical composition. We modify the traditional solidstate synthesis method, which is used in the majority of ceramics laboratories around the world, in order to prepare multi-metallic oxide powders from classic …

Can a model constructed by machine learning or data mining programs be trusted? For example, it is known that a decision tree model can contain less-credible parts caused by pathologies in induction algorithms, noise and missing values in data, or simply because of the complexity of a domain. Such models …

This thesis addresses the task of formalizing and implementing the process of semi-automatic ontology construction. We propose a theoretical framework for formalizing the ontology construction process. The process is described as a sequence of operators applied to the ontology. Several types of common operators are identified and each type is …

It is hard to imagine the management of any system without monitoring it as a process of continuously gathering data and performing real-time analyses. In general, monitoring can improve the estimation of the current state, optimization of the business processes, identification of the critical elements and new opportunities, and prediction …

This dissertation addresses the problem of parameter estimation of stochastic, discrete-time, state-space models from input and output data. This class of problems can be found in many modern engineering applications, where the relationships in the real world processes have to be inferred from the observed data and available prior knowledge. …