National Repository of Grey Literature 170 records found  beginprevious66 - 75nextend  jump to record: Search took 0.00 seconds. 
Version Control System
Foltýn, Michal ; Holan, Tomáš (advisor) ; Tůma, Petr (referee)
Version control system VCS keeps track of all work and all changes in a set of text files, typically the implementation of a software project, and allows several, widely separated, developers to collaborate. System makes work easier to developers when working on several files and allows them to keep track of all changes that have occurred. System uses client/server architecture and allows users to connect remotely or have client and server on the same machine. Several users can work with system simultaneously. The system runs on Microsoft Windows platform.
Electrical Circuit Simulator
Dušek, Dominik ; Ježek, Pavel (advisor) ; Holan, Tomáš (referee)
The goals of this work were to create an extendable library for electrical circuit simulation and a simple editor for interactive electrical circuit forming.The library was written in C++ language. It uses following methods. Trapezoidal method for solving ordinary differential equations for simulation time-dependable electrical elements.Newton method for solving nonlinear equations for simulation of electrical elements with nonlinear Volt-Ampere characteristics. Modified nodal analysis is used for circuit equation formulation, and modified Gaussian elimination for solving linear equations ergo for solution of modified nodal analysis.Editor was written in C# language. The editor is graphic interface which allows to user forming electrical circuits in diagram representation. The editor also allows simulating electrical circuits via mentioned above library and generating time-vol tage graphs of circuit, from data gained by simulation. In the editor and in the library are implemented these electrical elements: independent voltage sources, independent current sources, ideal resistors, ideal capacitors and ideal inductors.
Creating web startup and introducing the Lean development
Hejl, Tomáš ; Holan, Tomáš (advisor) ; Zavoral, Filip (referee)
This work describes The Lean Development methodology that can be used for managing development without known customer. Moreover, it describes the development of an already finished project - a web application that did not involve this methodology. After that this work finds out which aspects of this development would change, if the Lean Development methods were integrated, and proposes a specific solution for subsequent development, compliant with this methodology. At the end, this work presents the list of activities that the development team must pass when developing without known customer.
Unreal bots with emotions
Bída, Michal ; Brom, Cyril (advisor) ; Holan, Tomáš (referee)
This work is concerned with usage of emotions in artificial inteligence in computer games. It inspects possible benefits of emotions for artificial inteligence in the means of better imitation of human behavior. Main goal of this work is the implementation of an emotion model in the enviroment of the game Unreal Tournament (project UT Emotion Bots) and appraisal of its properties and suitability for the simulation of emotions in FPS games. This work introduces platforms used in the development of the project UT Emotion Bots and it evaluates their suitability for development of artificial inteligence.
Source codes similarity evaluation
Vodsloň, František ; Holan, Tomáš (advisor) ; Dokulil, Jiří (referee)
Purpose of this work is to create an application for source codes similarity measuring. The main purpose of this software is to help user with searching for plagiarism in set of source files. The application will also contain database of uploaded source fi les. User will be able to upload source les into database and compare them with each other, using various criterions and settings. The application is intended mainly for teachers and lectors, who can use it as an useful tool for simpli cation of plagiarism detection in set of homeworks or semestral works.
Ontologický popis inteligentních agentů
Pešková, Klára ; Neruda, Roman (advisor) ; Holan, Tomáš (referee)
In this thesis we present the Pikater multi-agent system, which is designed to provide the researchers an environment for testing various data mining methods, that are the part of the system, as well as let them experiment with their own data mining methods. The system is also capable of recommending a data mining method for the never-before-seen datasets. The algorithm of choosing the best possible method is based on finding the similarities in the datasets and on the system's previous experience with solving similar tasks. Finding the nearest dataset is based on the proposed metric on metadata - the general information about the datasets. To implement our system, we used the JADE platform, agents embed the Weka data mining methods. The communication among individual agents follows the FIPA protocols and the content of the messages is specified by messages ontology.
Harmonic pitch shifting
Cihelková, Tereza ; Holan, Tomáš (advisor) ; Pergel, Martin (referee)
This thesis describes the design and implementation of audio effect for pitch shifting of monophonic singing signals. The effect can generate two pitch shifted voices from input signal in real-time, while preserving formants. Amount of the shift can be controlled via MIDI controller. The effect is implemented as VST module in the form of dynamic-link library. This work also includes theoretical introduction to related DSP techniques.
Support for annotating and classifying particles detected by Timepix3
Čelko, Tomáš ; Mráz, František (advisor) ; Holan, Tomáš (referee)
Hybrid pixel detectors like Timepix3 can capture gigabytes of data on various particles in a second. However, in such measurements, a vast majority of these particles represent already well-known particles. Distinguishing between the types of particles is the first step in searching for extraordinary particles. It is a non-trivial task often done by physicists. Source data consists of clusters that are groups of pixels of the detector hit by a particle or its secondary particles when the particle decays. Manual processing of the data to such an extent is inefficient. We created a set of tools for visualizing clusters, computing properties of clusters, filtering clusters based on their properties, and training neural network classifiers. Trained classifiers can be merged into a tree structure, offering a better utilization of unevenly distributed types of clusters. Based on simulated labeled data, we trained multiple classifiers and evaluated their performance on the test dataset of clusters.
Mobile co-op game Garden War
Vjačka, Matěj ; Holan, Tomáš (advisor) ; Pergel, Martin (referee)
This work focuses on the 2D co-op game Garden War for mobile phones with the operating system Android. It can be played by exactly two players, each of them playing on his own device as one of two available roles. Each of the roles has its different properties and information in-game. Together they must cooperate and face enemies which are controller by artificial intelligence and other traps of the map. Phones will be connected through Bluetooth technology. The game is developed in Unity engine, C # languange, and the .NET platform.

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