|
|
Mobile applications for subjective measurement QoE of streaming video
Šeda, Pavel ; Hošek, Jiří (referee) ; Kováč, Dominik (advisor)
This thesis is focused on the subjective measurement of the quality of experience on streaming video through a mobile application. After wide analysis of possibilities how to realize subjective measurement of quality of experience, the mobile and web application were created. These tools enable to obtain user ratings of streaming videos and then evaluate them. The user ratings are stored to the central database via secured REST API.
|
|
|
Modules for Manual Penetration Testing of a Web Application
Heriban, Radoslav ; Martinásek, Zdeněk (referee) ; Šeda, Pavel (advisor)
The main goal of this master's thesis was development of Burp Suite extension capable of interacting with various other automated tools, accompanied with development of a web application. Chapter two contains analysis of tools commonly used in penetration testing that could benefit from the ability to share Burp Suites data or functionality. The programming languages used were Java and JavaScript. The extension acts as a gateway to inner functionality of Burp Suite. It enables exfiltration of in memory objects such as sitemap, proxy history or found issues in JSON format to other tools, and also listens for incoming data that can be inserted into it's existing modules such as Repeater, Scanner, Spider or Comparer. Frontend application was written using JavaScript library React. The web application offers a graphical visualization of issue data.
|
|
| |
|
|
Measuring of data communication parameters in computer networks
Šeda, Pavel ; Hošek, Jiří (referee) ; Skořepa, Michal (advisor)
Master‘s thesis is focused on basic characteristics of data transmissions in computer networks. In forepart I digestedly described basic characteristics computer networks, metods of their measurement and valuation. Computer networks type LAN as well as wireless computer networks Wifi, are mentioned. In second part I realized my own proposition of basic characteristics measurement. This proposition is used for SW applications development. Main goal of these applications is measurement of packet delay, packet jitter, paket loss and available bandwidth. I described details of SW applications and realized measurement of real computer networks in the end.
|
|
|
Relational and NoSQL database for collecting data from IoT devices
Tomiczek, Roman ; Štůsek, Martin (referee) ; Šeda, Pavel (advisor)
This bachelor work is focused on the analysis of the relational and NoSQL (Not only SQL) databases for collecting a huge amount of data from IoT (Internet of Things) device. Theoretical part contains an introduction to the problematic of the relational and NoSQL databases. The relational database describes fundamental principles, relational algebra, normal forms and so on. The non-relational database characterises the main properties and describes different types of typologies. It deals with the NoSQL documentation databases called Elasticsearch as well. Practical part contains a proposal and realization of the MySQL database, realization non-relational database Elasticsearch as well as JavaFx application for measurement of database parameters. Further contains results of the measurement of parameters and properties of databases.
|
|
|
Use of databases for the analysis of malware represented by behavioral graph
Muzikant, Petr ; Šeda, Pavel (referee) ; Hajný, Jan (advisor)
This Bachelor’s thesis deals with problematics of a behavioral detection, its main component called behavioral shield and processing a telemetry data flowing from this shield. Special attention is also paid to a multithreaded application since it was used to optimize the thesis results. Main goal of the thesis is selection of the right database system given the nature of the data and implementation of a tool allowing data processsing and extensible filtering. Thesis is divided into theoretical introductions of mentioned problematics and into two practical parts about the selection of database system (based on measurements) and the tool for processing and filtering data (including its optimization). At the end is also included short chapter about the problems during the implementation with theirs solutions. Bachelors thesis took place in the cooperation with Avast Software s.r.o.
|
|
|
Integration of ITSM Applications Using Web Services and IBM Cloud
Gryc, Václav ; Hošek, Jiří (referee) ; Šeda, Pavel (advisor)
This thesis is focused on developing software with ITSM integration features. The aim of this work is to design a suitable software architecture for integration applications in a cloud environment. Due to the use of the solution for many customers, emphasis is placed on sustainability and reusability. After wide technology analysis, a web application has been created that is fully configurable to meet a wide range of customer needs. It is decided to use the Node.js environment and the Loopback 4 framework for application development. To ensure lower costs for the operation of cloud resources, compared to competing technologies such as Java. The entire system is deployed in IBM Cloud. The resulting application is put into production by IBM.
|
|
|
FEM for fast machining simulation
Šeda, Pavel ; Madaj, Martin (referee) ; Zouhar, Jan (advisor)
The work will be focused on FEM for fast machining simulation. Introduction described the theoretical basis of FEM. The various methods (implicit, explicit) and the individual programs (ANSYS Ls-Dyna, Abaqus, Deform, AdvantEdge). At the end of the model calculation will be made for orthogonal cutting, which will be created in Ansys Worbench, counted in a computer program LS-DYNA and the results displayed in the LS-PrePost.
|
|
|
Image similarity measuring using deep learning
Štarha, Dominik ; Šeda, Pavel (referee) ; Rajnoha, Martin (advisor)
This master´s thesis deals with the reseach of technologies using deep learning method, being able to use when processing image data. Specific focus of the work is to evaluate the suitability and effectiveness of deep learning when comparing two image input data. The first – theoretical – part consists of the introduction to neural networks and deep learning. Also, it contains a description of available methods, their benefits and principles, used for processing image data. The second - practical - part of the thesis contains a proposal a appropriate model of Siamese networks to solve the problem of comparing two input image data and evaluating their similarity. The output of this work is an evaluation of several possible model configurations and highlighting the best-performing model parameters.
|
|
|
Implementation of a Service for Processing Diagnostic Data From a Car
Szymutko, Jaromír ; Pokorný, Jiří (referee) ; Šeda, Pavel (advisor)
This bachelor's thesis is focused on the development of a web application designed for gathering and processing diagnostic and informative data from a vehicle. The backend was developed in Java with the support of the Spring framework. This part of the application contains all the application logic and provides a connection to the database. The frontend was developed as HTML templates with CSS style sheets. Dynamic elements were implemented as JavaScript scripts. The application supports user registration, user login, registration of the vehicle, and adding information to the user's profile. It also presents diagnostic and informative data from the vehicle in a user-friendly way by using tables and plots.
|
guest ::
