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Temperature Profile in Reflow Soldering and Influence of Different PCBś and ComponentsThermal Capacities
Procházka, Martin ; Špinka, Jiří (referee) ; Starý, Jiří (advisor)
This thesis mainly deals with the prediction of temperature on the components and the PCB during reflow soldering. The theoretical part describes the particular solder reflow process, types of heat transfer and temperature profiles. The practical part is divided into forecasting temperatures if the conveyor is stopped and the temperature predictions when the conveyor is in motion. In both parts of the measured temperature is compared with the predicted temperatures, which show the success rate of prediction. The last part of this work is part of the simulation, which helps in proper understanding of the issues discussed.
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Risk Management of Bank Credit System and Decision Making Process
Skovajsa, Radek ; Kryštof, Zdeněk (referee) ; Čižinská, Romana (advisor)
The theoretical part of this thesis describes the development of Czech banking sector, especially with emphasis on post-revolutionary rebirth within the new conditions of market economy. The following part demonstrates the decision-making credit account process of a bank on a particular case study based on the methodics and procedures leading up to maximal elimination of credit risk. At the same time, the author presents a partially modified internal opinion on a decision of particular business transaction. It is accented that every decision of a bank must comply with the regulations of CNB. The conclusion of the thesis affirms the maximal efforts of domestic banks to minimalize risks within their decision-making credit account processes, which is mirrored in current stability in the development of Czech banking sector.
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Optimization of the Bank Loan Application
Skovajsa, Radek ; Kořínková, Martina (referee) ; Čižinská, Romana (advisor)
The work is based both on theoretical basis and practical working processes of banks for assessing client's financial standing in Czech market environment. Basic preconditions for successful credit allocation to a business entity will be set along with evaluation of the importance of information from a credit requisition form's compulsory enclosure. A detailed analysis of the client's economy from a bank perspective will be succeeded by identification of critical risks and positives of an applicant's financial position.
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Assessing Selected Indicators Using Statistical Methods
Maulová, Kristýna ; Součková, Markéta (referee) ; Doubravský, Karel (advisor)
This bachelor thesis deals with an evaluation of the financial situation of the company 2G - spol. s r.o. - Přikrývky a polštáře using statistical methods. The first part contains theoretical starting points of the thesis, which define the necessary terms of financial analysis and statistical methods, such as the method of regression analysis and time series. In the second part of the thesis, this theory is applied in practice to the mentioned company, where selected financial indicators are analyzed and prediction of future development of these indicators is determined. On the basis of this analysis and evaluation, subsequently, they are submitted own proposals to improve the current state of the selected company.
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Mobile App with Predictions of e-Sports Matches
Věčorek, David ; Szentandrási, István (referee) ; Herout, Adam (advisor)
E-Sports, also known as progaming (professional gaming) has grown a lot in the last few years. Professional gamers are regularly attending tournaments watched by hundreds of thousands of fans and with prize pools of millions of dollars. There are many video broadcasts of those events and recently betting on e-Sports has also become available. The main goal of this thesis was to create a mobile app for OS Android, which aims to utilize this growth and create a service of providing predictions of results of the e-Sports matches, similar to that existing in regular sports. The application in its current form receives the predictions via Google Cloud Messaging service and shows an Android notification on their arrival. The predictions are then stored on the device into SQLite database so they are available for further view and filtering. After the matches are finished, their results are shown in comparison to the predictions and balance of the predictions is calculated. Users can display information about their subscriptions and predictions under that subscriptions. The app was created in Android Studio IDE with appearance based on the material design guidelines. The app was tested on several devices of different brand and Android version, then it was placed on Google Play for open beta testing. In the future the app will be offered to the users of the service of providing predictions of results of the e-Sports matches.
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Prediction of Selected Parameters of Rotational Kinematics Pairs of Machine Tools
Marek, Tomáš ; Šooš, Ĺubomír (referee) ; Kolář, Petr (referee) ; Blecha, Petr (advisor)
The dissertation thesis is used as a methodology for prediction of selected parameters of rotational kinematic pairs of machine tools. The motivation for its writing has been continually increasing requirements for parameters (performance, accuracy, static and dynamic stiffness) of machine tools. The methodology takes into account the availability of suitable measuring devices and description of the design of rotary kinematic pairs. It will be useable for predicting the behavior of rotational kinematic pairs, even at the design stage by applying results to the machine design. The work is processed so that first is used a system approach to suggest methodology for prediction of the behavior of rotary kinematic pair in CNC machine tools, planning measurement strategy and verifying the results, including applications for specific kinematic chain of the selected machine. Based on this system approach and the resulting methodology, the measurement of the rotary kinematic pair was performed. The results of the system approach and measurement are generalized in the form of recommendations for designers of machining centers, allowing to increase the accuracy of the rotational kinematic pair.
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Algorithmic Trading Using Twitter Data
Kříž, Jakub ; Plchot, Oldřich (referee) ; Szőke, Igor (advisor)
This master's thesis describes creation of prediction system. This system predicts future market development based on stock exchange data and twitter messages analysis. Tweets from two different sources are analysed by mood dictionaries or via recurrent neural networks. This analysis results and technical analysis of stock exchange data results are used in multilayer neural network for prediction. A business strategy is created and tested based on results of this prediction. Design and implementation of prediction system is described in this thesis. This system achieved revenue increase more than 25 % of some business strategies by tweets analysis. However this improvement applies for certain data and timeframe.
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Prediction of gravity quantities values based on the terrestrial measurements and digital elevation model
Letko, Ivan ; Doudová, Lenka (referee) ; Machotka, Radovan (advisor)
The main objective of this master thesis is random equipartition concentration of measured gravimetric points in the area of interest pursuant by digital terrain model. Remove-Compute-Restore method was used for this purpose. In this thesis normal acceleration of gravity, topographic effect and Faye anomaly were subtracted from measured gravity. The result is Bouguer anomaly with general topographic effect which is interpolated for concentration points. We obtained predicated values of gravity after the restoration of subtracted effects. The main result of the thesis is the map of real gravity and precision evaluation of used method. Furthermore, the reductions of gravity, interpolation methods in programme ArcGIS, Remove-Compute-Restore method and the term of digital terrain model are explained in the thesis.
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Assessment of Selected Company Indicators Using Statistical Methods
Rozkydal, Štěpán ; Michalíková, Eva (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with the assessment of selected financial indicators of the company STAVOČ spol. s r.o. using statistical methods in the years 2013–2020. In the theoretical part, financial indicators, time series analysis, regression analysis and correlation analysis are defined. In the analytical part, the theoretical knowledge is applied to the analysis of selected financial indicators. Some financial indicators are then subjected to statistical analysis on which the prediction of values of indicators for the following two years is carried out or the dependency between the selected indicators is determined. In the last part of the thesis, measures leading to the improvement of the current economic situation of the company are suggested.
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