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Web Interface for a Database of Events
Hanzlík, Tomáš ; Křivka, Zbyněk (referee) ; Burget, Radek (advisor)
This work includes the design and implementation of a web application that serves as an interface between users and data aggregated from social networks. In the web interface, an emphasis is placed on displaying large amounts of data and browsing through filters. It consists of the JavaScript client part written in Vue.js and Nuxt.js and the server part of the Django REST framework that serves as a data source.
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Web Application for Graphical Description and Execution of Spark Tasks
Hmeľár, Jozef ; Burget, Radek (referee) ; Rychlý, Marek (advisor)
This master's thesis deals with Big data processing in distributed system Apache Spark using tools, which allow remotely entry and execution of Spark tasks through web inter- face. Author describes the environment of Spark in the first part, in the next he focuses on the Apache Livy project, which offers REST API to run Spark tasks. Contemporary solutions that allow interactive data analysis are presented. Author further describes his own application design for interactive entry and launch of Spark tasks using graph repre- sentation of them. Author further describes the web part of the application as well as the server part of the application. In next section author presents the implementation of both parts and, last but not least, the demonstration of the result achieved on a typical task. The created application provides an intuitive interface for comfortable working with the Apache Spark environment, creating custom components, and also a number of other options that are standard in today's web applications.
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The Grid
Gajdošík, Andreas ; Magid, Václav (referee) ; Krekovič, Slavomír (advisor)
Work aims at consequences of fully developed infrastructure of web 2.0 and its wide social acceptance, which with cheap computing power leads to massive data interpretation. In relation to that this work uses public Facebook's data about user activity at right wing oriented Facebook pages which gathers and statisticaly analyzes. Result is then showed at web page which is designed to look close to the look of extreme right wing webs. Positive first sight impression of right wing sympathizers is then eroded with not so good empirical statistics. Under 100 users are commenting quite often so this right wing craziness looks like a small movement in the end. Therefore Grid stands somewhere between amateur sociol research and artistic intervention into public media space.
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The algorithm for the detection of positive and negative text
Musil, David ; Harár, Pavol (referee) ; Povoda, Lukáš (advisor)
As information and communication technology develops swiftly, amount of information produced by various sources grows as well. Sorting and obtaining knowledge from this data requires significant effort which is not ensured easily by a human, meaning machine processing is taking place. Acquiring emotion from text data is an interesting area of research and it’s going through considerable expansion while being used widely. Purpose of this thesis is to create a system for positive and negative emotion detection from text along with evaluation of its performance. System was created with Java programming language and it allows training with use of large amount of data (known as Big Data), exploiting Spark library. Thesis describes structure and handling text from database used as source of input data. Classificator model was created with use of Support Vector Machines and optimized by the n-grams method.
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Distributed Forensic Digital Data Repository
Josefík, Martin ; Burget, Radek (referee) ; Rychlý, Marek (advisor)
This work deals with the design of distributed repository aimed at storing digital forensic data. The theoretical part of the thesis describes digital forensics and what is its purpose. There are also explained Big data, suitable storages, their properties, advantages and disadvantages, in this part. The main part of the thesis deals with the design and implementation of distributed storage for digital forensic data. The design is also focused in suitable indexing of stored data, and supporting new types of digital forensic data. The performance of implemented system was evaluated for chosen type of digital forensic data PCAP files.
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Design of a Solution for Effective Analysis of Security Data
Podlesný, Šimon ; Gardian, Ján (referee) ; Luhan, Jan (advisor)
The goal of this thesis is to design architecture capable of processing big data with focus on data leaks. For this purpose multiple data storage systems were described a and compared. The proposed architecture can load, process, store and access data for analytic purposes while taking into account authentication and authorisation of users and principles of modern agile infrastructure.
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A Monitoring and Aggregation Device for Large Amounts of Industry Data
Held, Oliver ; Pánek, Richard (referee) ; Smrž, Pavel (advisor)
This bachelor thesis describes hardware and software development of a monitoring device for the collection of industrial big data. The device is based on the development BeagleBone Black kit together with vibration sensors, temperature sensors and strain gauges. The objective of the thesis is to design a device with respect to low production cost, simplicity and possible modularity. The I2C bus and embedded AD converter are used for the collection of the data from the sensors. The data is sent to remote server using UDP protocol. Furthermore, custom strain gauge module is designed and tested. The practical contribution of the thesis is to test the platform functionality, that includes collection, aggregation and transfer of the data.
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Industry 4.0 in according Design and Application of Production Machines
Serykh, Pavel ; Szabari, Mikuláš (referee) ; Knoflíček, Radek (advisor)
This Bachelor thesis is focused on the theme of CNC manufacturing machines and their use in accordance with the principles of Industry 4.0. The first part is a search of the current state in the field of the most frequently used CNC production machines in engineering according to their design and application. In the second part described principles, basic attributes and key technologies of Industry 4.0, defined concept. The last part is on top of the project conceptual workplace with CNC manufacturing machines in the premises of the technical high school VUTBR in accordance with the principles and tenets of Industry 4.0 and the evaluation of the results achieved.
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Computational tasks for Parallel data processing course
Horečný, Peter ; Rajnoha, Martin (referee) ; Mašek, Jan (advisor)
The goal of this thesis was to create laboratory excercises for subject „Parallel data processing“, which will introduce options and capabilities of Apache Spark technology to the students. The excercises focus on work with basic operations and data preprocessing, work with concepts and algorithms of machine learning. By following the instructions, the students will solve real world situations problems by using algorithms for linear regression, classification, clustering and frequent patterns. This will show them the real usage and advantages of Spark. As an input data, there will be databases of czech and slovak companies with a lot of information provided, which need to be prepared, filtered and sorted for next processing in the first excercise. The students will also get known with functional programming, because the are not whole programs in excercises, but just the pieces of instructions, which are not repeated in the following excercises. They will get a comprehensive overview about possibilities of Spark by getting over all the excercices.
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Industry 4.0 and Industrial Robots in Machinary
Kotrba, Martin ; Vetiška, Jan (referee) ; Knoflíček, Radek (advisor)
The aim of this work is to describe the principles of the Industry 4.0 initiative defaced by the Ministry of Industry and Trade. Creating a search of the current state of industrial robots and manipulators according to their design and application. Design an ideological robotic workplace at BUT premises in kontext with Industry 4.0
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