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Application for Statistical Analysis of ICS Communication
Chimenti, Andrea ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
This work aims to present the design and implementation of an application for statistical analysis of network traffic in ICS (Industrial Control Systems) communication. In the first place, the work presents Industrial Control Systems and some of their most common protocols. The protocol IEC 104 is described in more detail. This is followed by an introduction to the basic methods of descriptive statistics, that can be used to analyze industrial communication. For this purpose, several CSV datasets, that capture fragments of industrial communication, have been used. These datasets are used to show how some of the previously described statistical methods can be used. The work then describes the implementation of an application, which allows to analyze the datasets and obtain various statistics and a visual representation of the data. The main objective of the application is to make it easier for the user to find stable characteristics that can be used for anomaly and attack detection. Finally, the benefits that the application brings are demonstrated on a set of datasets containing different types of attacks.
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Bankruptcy Prediction Modelling in the Agriculture Business
Pokorný, Petr ; Peter,, Markovič, (referee) ; Karas, Michal (advisor)
This master’s thesis is focused on problematic within the prediction of bankruptcy of companies operating in the field of agriculture in Czech republic. First part consists of introduction to companies that do business in field of agriculture and it describes bankruptcy models that are used in academicals sphere. Other part of thesis is divided into two sub-parts. First part is dedicated to an application of data into models of bankruptcy and their evaluation. Second part is focused on improvement of the best model and its main goal is to maximize the precision of the bankruptcy.
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Analysis of economic data using statistical methods
Grigoryeva, Ekaterina ; Novotná, Veronika (referee) ; Michalíková, Eva (advisor)
This bachelor's work deals with the assessment of the economic indicators of Samsung Electronics Czech and Slovak, s.r.o." using statistical and financial analysis methods. A quality assessment of the operation of the selected business is carried out in the thesis, the findings of the draft measures should improve its economic situation. Methods and tools for analyzing the business will be discussed both theoretically and practically. The conclusion of the thesis will give a full overview of the financial situation of the business.
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Research of modern articulation features for the analysis of hypokinetic dysarthria
Vrba, Filip ; Zvončák, Vojtěch (referee) ; Galáž, Zoltán (advisor)
This thesis deals with hypokinetic dysarthria, as a disorder of motor speech, which occurs in approximately 70% of patients with Parkinson’s disease (PD). Two newly designed speech parameters for quantification of articulation within HD are analysed in this thesis. This parameters were validated on recording of both healthy and PD speakers. The theoretical part describes conventional and used methods of speech signal processing, parameterization and statistical analysis. In the part of the system implementation is described practical design of new parameters and also methods of their statistical evaluation by correlation analysis and machine learning. The aim of this work is to design new speech parameters for HD diagnostics. The proposed system was implemented in MATLAB software environment.
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Objectification of the Test 3F - dysarthric profile based on acoustic analysis
Bezůšek, Marek ; Galáž, Zoltán (referee) ; Mekyska, Jiří (advisor)
Test 3F is used to diagnose the extent of motor speech disorder – dysarthria for czech speakers. The evaluation of dysarthric speech is distorted by subjective assessment. The motivation behind this thesis is that there are not many automatic and objective analysis tools that can be used to evaluate phonation, articulation, prosody and respiration of speech disorder. The aim of this diploma thesis is to identify, implement and test acoustic features of speech that could be used to objectify and automate the evaluation. These features should be easily interpretable by the clinician. It is assumed that the evaluation could be more precise because of the detailed analysis that acoustic features provide. The performance of these features was tested on database of 151 czech speakers that consists of 51 healthy speakers and 100 patients. Statistical analysis and methods of machine learning were used to identify the correlation between features and subjective assesment. 27 of total 30 speech tasks of Test 3F were identified as suitable for automatic evaluation. Within the scope of this thesis only 10 tasks of Test 3F were tested because only a limited part of the database could be preprocessed. The result of statistical analysis is 14 features that were most useful for the test evaluation. The most significant features are: MET (respiration), relF0SD (intonation), relSEOVR (voice intensity – prosody). The lowest prediction error of the machine learning regression models was 7.14 %. The conclusion is that the evaluation of most of the tasks of Test 3F can be automated. The results of analysis of 10 tasks shows that the most significant factor in dysarthria evaluation is limited expiration, monotone voice and low variabilty of speech intensity.
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Autonomous Control of Cars
Čurda, Vojtěch ; Bidlo, Michal (referee) ; Strnadel, Josef (advisor)
The purpose of this bachelor's thesis is to create a model of a self-driving vehicle, along with its surroundings. At first, the thesis outlines the vehicle automation and the system modeling problematics. The thesis then shows the design of said model, as well as its implementation. The model was implemented in UPPAAL Stratego - a tool that is used for modeling, validation and verification of real-time systems, in which the model is implemented as networks of timed automata. The result is a model of a self-driving vehicle, that can drive itself on a motorway with an arbitrary amount of traffic lanes. The self-driving vehicle reacts appropriately to the movement of other vehicles on the motorway and can change its speed according to speed limiting traffic signs. The behaviour of the model is then validated with the help of statistical analysis, which is done using the verification language embedded in the mentioned tool. The model is tested in specific scenarios, as well as random scenarios, where the self-driving vehicle is set into a regular traffic.
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The Analysis of Factors Affecting Electricity Consumption
Seiml, Jan ; Mařica, Lukáš (referee) ; Toman, Petr (advisor)
The aim of this thesis is to describe the course of consumption of electricity. One of the feasible ways of description is statistical analysis, which enables to calculate statistically significant factors and their combinations that contributed to the course of consumption of electricity. These factors may be used for modulation of future electricity consumption, and therefore also for long-time prediction. The second chapter discusses the expansion of electricity usage in the Czech Republic from the turn of the 19th century until nowadays. The chapter describes the development of transmission system, development of electricity consumption in the sectors of the national economy, possibilities of using electric energy, and overall balance of electricity and sources of energy. The third chapter presents an overview of usage and consumption of electrical energy in the neighboring European countries as well as in the most interesting countries of the World. The fourth chapter contains statistical analysis. The first part of the chapter details a list of the analyzed quantities of individual consumptions, of the investigated factors, and the analyzed countries. Further, the chapter explains the method of statistical analysis via using simple and multiple regression and its subsequent application and evaluation for the Czech Republic and the others European countries. According to the result, it is GDP that has the main impact on the trends in the course of consumption of electricity. However, it is necessary to consider other factors influencing the consumption of electricity, too, and not rely solely on GDP in terms of long-time prediction of electricity consumption. The fifth chapter discusses the reduction of electricity consumption and savings, which can be both political and macroeconomic result. Quantification of savings is not always unequivocal and any cost-saving actions can lead to an increase in electricity consumption, which can, in effect, be bigger than any possible savings.
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Assessing of the Financial Situation of a Company Using Time Series
Pech, Jan ; Císařová, Miluše (referee) ; Doubravský, Karel (advisor)
Abstract Master’s thesis about „Assessing of the financial situation of a company using time series” focuses on a detailed assessment of the economic situation of the state-owned enterprise DIAMO between years 2005–2014. The theoretical part describes methods and indicators of strategic, financial and statistical analyses, which are in the next chapter sequentially applied on the analysed company. The content of the final chapter introduce proposals of elimination of the risk areas of the state-owned enterprise, while the greatest emphasis will be applied on the issue of rising shares of receivables and liabilities to total assets and ensuring positive economic result in corporate profit. The main object of this master’s thesis is assessing financial efficiency of state-owned enterprise DIAMO, afterward identifying risk areas and introducing possible precautions, which will lead to overall greater economic health of the enterprise itself.
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Testing of Cutting Tools for Multi-Axis Machining at Machining Centres
Dvořáček, Jan ; Mrkvica, Ivan (referee) ; Janáč, Alexander (referee) ; Píška, Miroslav (advisor)
The thesis is focused on testing of the cutting tools for machining on five axis machine tools and possibility of implementation of designed experiments in this area. The theoretical section focuses attention on analysis of specific features during five axis machining, including chip cross section and particularity of tool testing under high speed cutting conditions with consideration of dynamic stability of cutting tools. In the thesis force loading of the tool is discussed as well as its measurement process, considering force development caused by tool wear and data analysis. Description of designed experiment and its application to the area of tool testing is included as well. All theoretical predictions are followed by experimental verifying by extensive number of experimental tests, including evaluation of cutting tool condition, influence of hard coatings on cutting power of the tools, etc. For each of testing conditions are designed specific methods of processing of gathered data as well as evaluation of power of the cutting tools. Gathered data were processed by means of statistical evaluation and by statistical methods of designed experiments. The thesis contains also the extensive number of records and analysis, documented by means of light microscopy as well as electron microscopy.
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Evolutionary engineering of polyhydroxyalkanoates producing bacteria
Nováčková, Ivana ; Kovalčík, Adriána (referee) ; Obruča, Stanislav (advisor)
This diploma thesis deals with the application of evolutionary engineering to PHA producing bacterial strains. The aim of the thesis is to prepare strains adapted to levulinic acid, a selected stress factor, by methods of evolutionary engineering, and then to characterize these strains. The theoretical part deals with evolutionary engineering and polyhydroxyalkanoates predominantly. The bacterial strain Cupriavidus necator H16 was used for evolutionary experiments. Levulinic acid and levulinic acid in the presence of the MMS mutagen were applied to prepare adapted strains. Selection of mutants was evaluated on the basis of growth potential and PHA content in biomass. Polymers produced by five obtained PHA-producing mutants and control were characterized using GC-FID, SEC-MALS, DSC and FT-IR. It was found that a higher content of 3HV in the copolymer led to a lower crystallinity and hence to a lower melting point, nevertheless, only the copolymer of the M0151 strain did not fit this trend. In addition to the characteristics of the polymers, the strains themselves were evaluated from the biochemical point of view by determining the activities of selected enzymes of the citrate, glyoxalate and 2-methylcitrate cycle, selected enzymes generating NADPH, levulic acid catabolism enzyme and PHA biosynthesis enzymes. On the basis of the obtained data, the possible adaptation strategies were discussed, when the E0575 strain was most differentiated from original culture. Values of specific enzyme activities were subjected to AHC and PCA statistical analysis methods.
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