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Framework for Analysis of Changes in Data Structures of Core Routers
Bednářová, Marie ; Martínek, Tomáš (referee) ; Matoušek, Jiří (advisor)
Páteřní směrovače jsou síťová zařízení, která v kontextu výkonnosti musejí držet krok s požadavky nových internetových služeb a aplikací. Jeden z faktorů, který výkonnost směrovače ovlivňuje, je klasifikační algoritmus, který je součástí procesu přeposílání příchozích paketů na základě jejich cílové IP adresy. Každá adresa je předložena Forwarding Information Base (FIB), která implementuje algoritmus Longest Prefix Matching (LPM) - hledání nejdelšího shodného prefixu. FIB tabulka obsahuje prefixy všech dosažitelných sítí z daného směrovače a na základě poskytnuté IP adresy pak rozhodne, kam daný paket dále přeposlat, aby dorazil na místo určení. Existuje několik LPM algoritmů s různými vlastnostmi, jako je rychlost vyhledávání, náročnost na paměť, náročnost na aktualizaci, a další. FIB tabulka se v průběhu provozu směrovače aktualizuje na základě změn ve Routing Information Base (RIB). Tyto změny jsou prováděny na základě směrovacích informací, které si mezi sebou směrovače vyměňují. Z těchto poznatků vychází téma této práce, které se věnuje tomu jak, dynamické jsou změny datových struktur FIB tabulek v páteřních směrovačích. Tato práce se věnuje návrhu a implementaci frameworku, který je možné použít jako pomocný nástroj pro vyhodnocování LPM algoritmů, na základě toho, jak daný algoritmus mění datové struktury FIB tabulek v páteřních směrovačích. Test je prováděn pomocí simulace, kdy LPM algoritmus je nejprve umístěn do zjednodušeného modelu směrovače jako implementace FIB tabulky. Poté, na základě zpráv protokolu BGP (Border Gateway Protocol), bude algoritmus aktualizovat datovou strukturu FIB tabulky. Celá simulace je monitorována a účinky změn jsou zaznamenávány. Na konci simulace jsou poskytnuty výsledné statistiky. Framework dále umožňuje změnit implementaci LPM algoritmu a také nastavení samotné simulace. Nakonec je funkčnost frameworku prověřena na základě experimentů.
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Design, Creation and Implementation of Software Applications in the Corporate Environment
Kučera, Ján ; Koch, Miloš (referee) ; Novák, Lukáš (advisor)
Aim of this thesis is to design and implement a backend for internal web application that will be responsible for the aggregation of statistics and visualization of given statistics. The outcome of this thesis will also be executable as a stand-alone script for specific data. Outputs of said web application are going to help upper management with decision-making in the area of online gambling games, especially their development, modification, and modernization. This thesis will evaluate design, implementation and economic value of the given web application for the company in comparison to alternatives.
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Culture in numbers 2023
Dedera, Milan ; NIPOS, Národní informační a poradenské středisko pro kulturu
Statistika kultury se zabývá zjišťováním údajů o činnosti kulturních subjektů (např. návštěvnost, kapacita, vzdělávací akce, vydané publikace, výpůjčky, čtenáři). V předkládané brožuře jsou zveřejněny vybrané údaje za následující obory: divadlo, galerie, muzea a památníky, hvězdárny, planetária a astronomické pozorovatelny, veřejné knihovny, památkové objekty zpřístupněné za vstupné, neperiodické publikace a periodický tisk. Údaje ekonomické povahy jsou k dispozici pouze za subjekty veřejného sektoru, kulturní subjekty v soukromém sektoru je neposkytují.
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Modelling and Analysis of Logistics Processes by Applying Process and Data Mining Techniques
Rudnitckaia, Julia ; Wang, Hao (referee) ; Zendulka, Jaroslav (referee) ; Hruška, Tomáš (advisor)
In this thesis, we propose an approach for modelling hidden and unknown processes and subprocesses in the example of a seaport logistics area. Having the underlying process model makes it possible to exploit more advanced algorithms since deviations and main paths are becoming visible and better controlled. The obtained model is the foundation for the core research of this work and will be enriched with key performing indicators and their forecast by applying advanced process mining, statistics, and machine learning techniques. The main difference of the approach is that we take as a target variable not any specific value, but the object - a process variant or a process type with a set of parameters. Bottleneck analysis, from one side, and predictive analysis, on the other hand, are enforced with context-aware information, especially with these additional objective process attributes. Furthermore, the support of the descriptive ("As is") current process model with certain notation and the integration with relevant bottleneck and predictive methods compromise the advantages of the approach. The work primarily focuses on the design of algorithms and methods for supporting logistics data analysis. However, it can be adjusted and applied to other areas accordingly, which makes the approach flexible and versatile. The result of the work is the framework for unstructured process modelling and the key process parameters predictive method. This analysis of processes with their attributes might be used for decision-making systems and process maps in future.
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Analysis of Economic Indicators Using Statistical Methods
Picka, Václav ; Vaníček, Jiří (referee) ; Doubravský, Karel (advisor)
The thesis is focused on the analysis of economic indicators of Brno Transport Company, Inc. using statistical methods. The issue of time series, regression analysis and selected economic indicators is illustrated in the theoretical part. In the practical part the indicators will be analyzed using time series and regression analysis associated with their predictions for the future. The last part contains recommendations for possible determination of strategies and business objectives.
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Analysis of Economic Data Using Statistical Methods
Klímová, Lenka ; Antoš, Marek (referee) ; Michalíková, Eva (advisor)
The teoretical part of the thesis focuses on timeline and also on economic issues of mainly ratio indicators and their interpratation. The aim of this work is to analyze and evaluate selected economic indicators of the company, using timeline analysis and regressive analysis. The analysis is related to value prediction of selected economic indicators which I predicted for the next two years (2014 and 2015). Based on the detected values I proposed measures for successful future development of the company. I have processed the data using Gretl and Microsoft Excel programs.
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Analysis and Aggregation of Czech Parliament Data
Talašová, Irena ; Burget, Radek (referee) ; Očenášek, Pavel (advisor)
The aim of this work is to create a variety of statistics and reports on the functioning of Parliament of Czech Republic. Data for these statistics are gathered from the pages of the Czech Parliament and stored in to a database. Results are presented mainly in the form of tables, graphs and other methods on a publicly accessible Web site. Results should be as clear as possible, comprehensible and provide interesting and unusual information.
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System for automatic evaluation of email messages
Frkal, Jan ; Červenka, Vladimír (referee) ; Koutný, Martin (advisor)
This diploma thesis deals with the design and realisation of system for automatic evaluation of e-mail messages. The system works with PHP language and MySQL database. It also allows automatic synchronisation. During the synchronisation e-mail messages are downloaded and saved using IMAP or POP3 protocol. Subsequently, the messages are analysed. During the analysis the reports are classified into types, according to pre-defined keywords. The system also works with black lists and white lists. If the sender of an e-mail is during the synchronisation found in the blacklist, that e-mail will be skipped. On the contrary, if the sender of an e-mail is found within the white list, that e-mail will be excluded from keyword matching and from the list is type and category loaded. Most of the values from the carried out evaluation of the e-mails can be clearly seen in advanced statistics. Pie charts and numerical statistics are available. Access to the system is protected by a login. Therefore, login can only registered users.
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The Use of Statistical Methods for Data Processing
Krygielová, Lucie ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This thesis deals with the optimization of the supply process of a small business, especially with determining the optimal inventory level and demand forecasting, using tools of time series analysis. The final part gives a description of the creation of the program that is used to calculate individual indicators and forecasts. The aim is to increase the efficiency of the supply process, thereby reducing operating costs of the company.
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