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Educational Game of Motivation on the Android Platform
Kučera, Martin ; Očenášek, Pavel (referee) ; Kreslíková, Jitka (advisor)
The aim of the dissertation is to create a prototype of an educational game which should help students with the choice of future their studies. To this end, the game introduces the topic of logic systems in a non-threating interactive way with clear illustrative examples. The theoretical part of the work deals with the background knowledge necessary in order to design the game. It explains logic systems, gates, flip-flop circuits, and explores various aspects of game genres with primary focus on puzzle games and their history. In addition, the dissertation presents some of the issues related to cross-platform development of games for both mobile and computer platforms, and provides brief descriptions of several popular cross-platform libraries. Lastly, the work introduces and compares several chosen applications created as a supplementary material for teaching logic system.
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IRC Logbot
Průša, Vojtěch ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
p { margin-bottom: 0.1in; direction: ltr; color: rgb(0, 0, 0); line-height: 120%; }p.western { font-family: "Times New Roman",serif; font-size: 11pt; }p.cjk { font-family: "Times New Roman",serif; font-size: 11pt; }p.ctl { font-family: "Times New Roman",serif; font-size: 12pt; }a:link { color: rgb(0, 0, 255); } For web application development it is currently possible to use the full range of web technologies. Older technologies have been replaced by new ones and we need to keep up with the current trend in application development for safety, reliability and low resource consumption. The aim of this work is to create a functional IRC logging boot application that supports multichannel recording, rotate records and search them with keywords and design a suitable user interface. The technologies used should be the Scala programming language, the React JavaScript library, the Docker container tool and the OpenShift platform. Describe the use of technologies to make it easy to create other applications on a similar principle using modern web technologies.
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Scala Programming Language and Its Use for Data Analysis
Kohout, Tomáš ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with comparing the Scala programming language with other commonly used languages for data analysis. These languages are evaluated on the basis of the following categories: data manipulation and visualization, machine learning and concurent processing capabilities. The evaluation then shows the strengths and weaknesses of Scala. The strengths will be demonstrated on application for email categorization.
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Network Traces Analysis Using Apache Spark
Béder, Michal ; Veselý, Vladimír (referee) ; Ryšavý, Ondřej (advisor)
The aim of this thesis is to show how to design and implement an application for network traces analysis using Apache Spark distributed system. Implementation can be divided into three parts - loading data from a distributed HDFS storage, supported network protocols analysis and distributed data processing. As a data visualization tool is used web-based notebook Apache Zeppelin. The resulting application is able to analyze individual packets as well as the entire flows. It supports JSON and pcap as input data formats. The goal of the application is to allow Big Data processing. The greatest impact on its performance has the input data format and allocation of the available cores.
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Model Driven Development of Spark Tasks by Means of Eclipse Acceleo
Šalgovič, Marek ; Bartík, Vladimír (referee) ; Rychlý, Marek (advisor)
Táto diplomová práca sa zaoberá modelom riadeným vývojom Big Data úloh v prostredí Apache Spark. Na začiatok je čitateľovi predstavený framework Apache Spark a potrebné detaily. Ďalej sa priblíži problematika modelom riadeného vývoja a popíšu sa jeho výhody a nevýhody. V druhej časti je popísaný navrhnutý meta-model pre modelovanie úloh Sparku. Detailne sú popísané vlastnosti navrhnutého profilového diagramu, ktorý rozširuje diagram tried. Následne je implementovaný generátor kódu, ktorého vstup sú modely vyhovujúce navrhnutému meta-modelu. Práca taktiež obsahuje príklady modelov a ich vyhodnotenie.
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Model Driven Development of Spark Tasks by Means of Eclipse Acceleo
Šalgovič, Marek ; Bartík, Vladimír (referee) ; Rychlý, Marek (advisor)
Táto diplomová práca sa zaoberá modelom riadeným vývojom Big Data úloh v prostredí Apache Spark. Na začiatok je čitateľovi predstavený framework Apache Spark a potrebné detaily. Ďalej sa priblíži problematika modelom riadeného vývoja a popíšu sa jeho výhody a nevýhody. V druhej časti je popísaný navrhnutý meta-model pre modelovanie úloh Sparku. Detailne sú popísané vlastnosti navrhnutého profilového diagramu, ktorý rozširuje diagram tried. Následne je implementovaný generátor kódu, ktorého vstup sú modely vyhovujúce navrhnutému meta-modelu. Práca taktiež obsahuje príklady modelov a ich vyhodnotenie.
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Scala Programming Language and Its Use for Data Analysis
Kohout, Tomáš ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
This thesis deals with comparing the Scala programming language with other commonly used languages for data analysis. These languages are evaluated on the basis of the following categories: data manipulation and visualization, machine learning and concurent processing capabilities. The evaluation then shows the strengths and weaknesses of Scala. The strengths will be demonstrated on application for email categorization.
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Network Traces Analysis Using Apache Spark
Béder, Michal ; Veselý, Vladimír (referee) ; Ryšavý, Ondřej (advisor)
The aim of this thesis is to show how to design and implement an application for network traces analysis using Apache Spark distributed system. Implementation can be divided into three parts - loading data from a distributed HDFS storage, supported network protocols analysis and distributed data processing. As a data visualization tool is used web-based notebook Apache Zeppelin. The resulting application is able to analyze individual packets as well as the entire flows. It supports JSON and pcap as input data formats. The goal of the application is to allow Big Data processing. The greatest impact on its performance has the input data format and allocation of the available cores.
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IRC Logbot
Průša, Vojtěch ; Rychlý, Marek (referee) ; Burget, Radek (advisor)
p { margin-bottom: 0.1in; direction: ltr; color: rgb(0, 0, 0); line-height: 120%; }p.western { font-family: "Times New Roman",serif; font-size: 11pt; }p.cjk { font-family: "Times New Roman",serif; font-size: 11pt; }p.ctl { font-family: "Times New Roman",serif; font-size: 12pt; }a:link { color: rgb(0, 0, 255); } For web application development it is currently possible to use the full range of web technologies. Older technologies have been replaced by new ones and we need to keep up with the current trend in application development for safety, reliability and low resource consumption. The aim of this work is to create a functional IRC logging boot application that supports multichannel recording, rotate records and search them with keywords and design a suitable user interface. The technologies used should be the Scala programming language, the React JavaScript library, the Docker container tool and the OpenShift platform. Describe the use of technologies to make it easy to create other applications on a similar principle using modern web technologies.
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OpenMP for Java
Bělohlávek, Petr ; Steinhauser, Antonín (advisor) ; Kruliš, Martin (referee)
Due to its backward compatibility, multi-threaded programming in Java is often performed ineffectively and repels inexperienced programmers from development of parallel applications. This thesis introduces omp4j - an OpenMP-like preprocessor that supports Java language standards 6, 7 and 8 without any runtime dependencies. Furthermore, the thesis develops a scalable and portable solution for all commonly used JDKs. The combination of the syntax and bytecode analyses is employed by the preprocessor in order to parallelize the source code. The developed project may be used either as a CLI utility or as a third-party library for Java and Scala projects. The latter possibility is demonstrated in an online demo which was developed together with the project website - www.omp4j.org. Additionally, the performance evaluation, which discusses various aspects of the implemented preprocessor, is presented and the comparisons to the related C++ and Java solutions are elaborated. In comparison to the similar projects, significantly better scalability of omp4j is proven at significance level alpha = 0.01 for some of the benchmarks. Powered by TCPDF (www.tcpdf.org)
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