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Proposal of prediction model sales of selected food commodities
Řešetková, Dagmar ; Dostál, Petr (referee) ; Krčmarský, Miroslav (referee) ; Zelinka, Ivan (referee) ; Rais, Karel (advisor)
The dissertation is generally focused on the use of artificial intelligence tools in practice and with regard to the focus of study in the field of Management and Business Economics at using the tools of artificial intelligence in corporate practice, as a tool for decision support at the operational and tactical level management. In the narrower sense, the task deals with the proposal of the prediction sales model of selected food commodities. The proposed model is designed to serve as a substitute for a human expert in support decision-making process in the purchase of selected commodities, especially when training new staff and extend the currently used methods of managerial decision-making about artificial intelligence tools for company management and existing employees. The aim of this dissertation is the design prediction sales model of selected food commodities (apples and potatoes) for specific wholesale of fruit and vegetable operating in the Czech Republic. To become familiar with the behaviour of selected commodities were used primary and secondary research as well and knowledge gained from Czech and foreign literature sources and research. The resulting predictive model is developed using statistical analysis of time series and the sales prediction proceeds using the tools of artificial intelligence and is modeled by an artificial neural network. The dissertation in the practical part also contains proposals for the use of the prediction model and partial processing procedures for: • practice, • theory, • pedagogical activities.
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THE METODOLOGY OF CLIENT SOLVENCY ASSESSMENT IN INSURANCE BUSINESS
Doskočil, Radek ; Dostál, Petr (advisor)
This dissertation thesis deals with problems of identifying client’s solvency in the insurance business and is drawn for the insurance companies needs. The main target of this work is a construction of methodology, which will provide managers a tool to support their decision making in cases of client solvency assessment. The basic theoretical background, an overview of the current state of the analyzed subject and the description of utilized methods are presented in the introductory part of this work. In following parts of this work is introduced a real database of insurance company’s clients, which serves as a basis to accomplish the defined goal. The source data were subject to a necessary analysis to determine the cross-correlations and variables entering the decision-making model. A large variety of traditional statistical methods, including relevant software were used to analyze the data. Decision-making model was formed with the help of artificial intelligence methods, especially fuzzy logic. The technical realization of the model was made using MATLAB software. The process of insurance company’s client solvency assessment methodology creation is described in detail and elaborated into phases. The fundamental part of the methodology, decision-making model, can be easily modified and adapted to the end user’s specific needs. The text also includes a verification and implementation of the model, an interpretation of the results, a comprehensive client solvency assessment methodology process in insurance business and the definition of contribution of this methodology to practice, theory and pedagogy.
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MODELOVÁNÍ INVESTIČNÍHO ROZHODOVÁNÍ V PODMÍNKÁCH NEJISTOTY A NEURČITOSTI
Soukupová, Ljuba ; Dalík, Josef (advisor)
This doctoral thesis is focused on the problem of investment decision making under uncertainty with computer support. On the basis of theoretical and empirical findings there was designed proposal of artificial intelligence tools implementation into the present methods of investment decision making under uncertainty. Constructive idea of this doctoral thesis is in fuzzy model of investment decision making for non-financial companies investments and implementation of this model into the knowledge base of expert system. Methodology of investment decision making under uncertainty was created on the background of mentioned practice of decision making about investment. Although from the first sight designed methodology appears to be complicated it has proved high effective in practice.
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Evaluation of Selected Software Tools for Modeling the Leakage of Hazardous Substances in Accidents in the Chemical Industry
Hrušková, Veronika ; Martincová, Jana Victoria (referee) ; Adamec, Vladimír (advisor)
The thesis is aimed at the modeling of releases of hazardous substances to the designated software tools. The work consists of three parts. The first part is theoretical, which deals with hazardous substances and their legislation, accidents in industry, physical models of leakage and dispersion of hazardous substances and factors influencing their spread in the air and finally software tools. The second part, experimental, describes some software tools and their subsequent modeling. The third part is devoted to the results of modeling and analysis of selected software tools. The aim of the thesis is to analyze selected software tools for modeling the release of hazardous substances, to compare their explanatory power and potential use.
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Traffic flow modelling
Ježková, Jitka ; Opluštil, Zdeněk (referee) ; Kisela, Tomáš (advisor)
Tato diplomová práce prezentuje problematiku dopravního toku a jeho modelování. Zabývá se především několika LWR modely, které následně rozebírá a hledá řešení pro počáteční úlohy. Ukazuje se, že ne pro všechny počáteční úlohy lze řešení definovat na celém prostoru, ale jen v určitém okolí počáteční křivky. Proto je dále odvozena metoda výpočtu velikosti tohoto okolí a to nejen zcela obecně, ale i pro dané modely. Teoretický rozbor LWR modelů a řešení počátečních úloh jsou demonstrovány několika příklady, které zřetelně ukazují, jak se dopravní tok simulovaný danými modely chová.
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Modelling and Verification of Piezoelectric Generator
Lán, Radek ; Singule, Vladislav (referee) ; Hadaš, Zdeněk (advisor)
This master's thesis deals with the development and verification of the model of the piezoelectric generator, incl. determination of its parameters. This mathematical model should be used as a tool for development of new devices, especially for analysis of applicability of available energy source (vibration) and for design of device itself. At first the review of energy harvesting is described deeply. Subsequently piezoelectric generators and the ways how we can model them, are depicted in details. The methodology of parameters estimation and model development is presented in state space or in MATLAB/Simulink environment and applied on the commercial generator Midé V21BL. A device has been made within the scope of the thesis, which can be used as an universal tool in experiments with generator. Finally the model is applied on the analysis of energy yield from man's walk and there is also brief introduction to model modifications.
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Model of electric furnance for heat-resistant material processing
Franek, Lešek ; Malounek, Petr (referee) ; Dvořáček, Martin (advisor)
Content of the document is to create model of kiln, compare result with the real kiln. There is described 3D design in SolidWorks application, creation of a physical model in COMSOL Multiphysics and its export to Simulink. Subsequently is described the Simulink scheme, functions of program parts and visualization in B&R Automation Studio. The obtained results are compared with measured values. There is also described the design of a controller with a off-line identification.
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Controlling of Nanostructure Temperature by Light Absorption
Kovács, Roland ; Schmidt,, Eduard (referee) ; Kalousek, Radek (advisor)
The thesis deals with a new versatile strategy which is aimed to heat up rapidly the nanostructures with the help of a focused light beam utilizing localized plasmons (collective oscillation of electrons). By local heating, the growth of the semiconductor nanowires can be initiated and controlled at any arbitrarily prespecified location down to the single nanostructure level in a chamber at room-temperature. The aim of the work is to study electromagnetic field in the selected structures, especially in metal nanospheres by using numeric calculations and computations of the thermal field in the vicinity of these illuminated nanostructures. Electromagnetic phenomena is simulated in Lumerical and the temperature field in COMSOL.
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Mathematical Programming Models for Optimal Control Problems
Dražka, Jan ; Mrázková, Eva (referee) ; Popela, Pavel (advisor)
This thesis deals with optimization of a vehicle’s (racing) drive on a track. The model of a vehicle and a track is built in this thesis. The first chapter is devoted to the fastest pass problem formulation. The problem optimizes (in the least time) the vehicle’s drive from a start line to a finish line. The problem is formulated as an optimal control theory problem. In the second chapter the optimal control theory problem is suitably discretised and transformed into a nonlinear programming problem. The transformation of the fastest pass problem into nonlinear programming problem, its detailed and illustrative derivation and reformulation form the main part of the thesis. Third chapter presents the implementation and solution of the problem using GAMS and MATLAB. This thesis is a part of a specific research project on which the author has participated. The main contribution of the author is an original formulation of the fastest pass problem as a nonlinear programming problem and its implementation and solving using GAMS.
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