National Repository of Grey Literature 124 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Benchmarking of evolutionary algorithms
Kostiha, Petr ; Matoušek, Radomil (referee) ; Kůdela, Jakub (advisor)
This thesis focuses on the benchmarking of surrogate-assisted evolutionary algorithms, an area that has not yet been explored as deeply as traditional evolutionary methods. The aim is to identify and analyze the best available algorithms of this type and highlight their potential applications. The paper begins with the definition of an optimization problem, followed by a theoretical overview of benchmarking, its significance, and tools. Subsequently, selected evolutionary methods are detailed and then implemented in MATLAB software for the experimental part of the work. Out of eight tested methods, the SAMSO method proved to be the most effective, along with the LSADE, ESA, and TS-DDEO methods. The results show that these methods offer significant potential for solving complex optimization problems and open up new possibilities for further research in this field.
DIGITAL INFORMATION PANELS NINEPIN BOWLING
Szelke, Ludvík ; Roupec, Jan (referee) ; Matoušek, Radomil (advisor)
This thesis deals with the design of applications used to control, manage and display all the information needed for the smooth operation and play of the game of European bowling. In the first part of this thesis, the history of digital dashboards and the sport of bowling is presented, along with an explanation of the rules for designing applications. The practical part of the thesis presents the initial development of the applications. All the applications are introduced in turn, their structure is explained, and finally their testing is presented.
Robotic selection of 2D objects from a container
Velen, Bohumil ; Parák, Roman (referee) ; Matoušek, Radomil (advisor)
In this thesis, a specific problem of production automation is addressed. Specifically, in this case, it concerns the selection of 2D products from a container by a robot. The thesis briefly presents both the wide range of options that are offered on the market in this regard, and the specific build and programming of a robot that can identify the part, grasp it and manipulate it to get it into the desired position. In this paper, the results of the identification and manipulation of several 2D parts are presented and documented. These experiments have demonstrated the effectiveness of the solution and the practical performance of the machine vision system and the ABB YuMi collaborative robot that was used. This also showed the way to solve similar manipulation tasks in other possible industrial applications.
Voice Control of Industrial and Medical Devices in Noisy Environments
Vymětalíková, Lucie ; Matoušek, Radomil (referee) ; Dobrovský, Ladislav (advisor)
This diploma thesis deals with voice control of industrial and medical devices in noisy environments. Different speech recognition models and methods for noise supression in speech signals are compared. Based on the research and conducted testing, a custom voice control system is designed. The system consists of a wake word detection model and a model for the predefined commands recognition. An audio response for the operator and a script execution based on the recognized commands is also implemented in the system. A modification for automatic door opening of the OpenTube2 laboratory box was designed.
THE CONTROL OF CHAOS: METHODS AND APPLICATIONS
Kořenek, Miroslav ; Dvořák, Jiří (referee) ; Matoušek, Radomil (advisor)
This thesis deals with methods of stabilizing deterministic chaos. The first part provides a brief overview of the problem of deterministic chaos, including the framework used to describe and analyze chaotic systems. Furthermore, the most well-known chaotic systems are described in detail, with the logistic map and the Hénon map selected for experimental stabilization. The description of conventional methods for chaos stabilization, namely TDAS and ETDAS, follows. The principle of their optimization is also explained. Next chapter is dedicated to describing genetic programming and its potential use in chaos stabilization. In the practical part of the thesis, conventional methods and various implementations of genetic programming were applied to stabilize the selected systems. The utilization and experimentation with genetic programming to find stabilizing sequences are the most significant contributions of this work.
Binary masks DLP with DMD chip
Filip, Jakub ; Dostál, Zbyněk (referee) ; Matoušek, Radomil (advisor)
The diploma thesis aims to create a library in the Python programming language, which can control the DLP LightCrafter 9000 EVM evaluation module. Through this library, the potential of the purchased module in the field of high-speed imaging of binary masks should be achieved. The theoretical part of the thesis deals with DLP technology and hardware. The hardware properties are specified in more detail with respect to the purchased module. The following chapters focus on the command control interface and the GUI application, which provide additional information not only about the method of communication between the module and the PC but also about the conditions for achieving the desired outputs. The practical part deals with the analysis of communication between the module and the PC, the processing of digital image data, and the implementation of the library in the Python programming language.
Support vector machines: theory, applications and software implementations
Podtesov, Daniil ; Matoušek, Radomil (referee) ; Kůdela, Jakub (advisor)
This bachelor thesis deals with the problem of machine learning algorithm called support vector machine learning method. The thesis focuses on the theoretical basis required to understand the mechanism of operation of this method, the application of this method in real life and the implementation of this method in various software. Concepts such as optimal separation superplane, linear decision boundary and support vectors are explained. Furthermore, different variants of this method using different kernel functions are described. In the third part of the paper, the method was not only used to show how it works, but also several techniques were used to improve the results of the application of the method.
Accuracy of mathematical calculations using a wider range of computer programs
Ondrouchová, Adéla ; Matoušek, Radomil (referee) ; Dosoudilová, Monika (advisor)
The goal of this thesis is to describe factors which influence the accuracy of mathematical calculations in programming. Main focus is on floating point number format operations, which is regulated by the IEEE-754 standard. This work includes comparison of some calculations in Matlab and Python and also a demonstration of the influence, that processor architecture has on final results.
Machine Vision: Support for Lab Applications
Starý, Vojtěch ; Holoubek, Tomáš (referee) ; Matoušek, Radomil (advisor)
This diploma thesis deals with machine vision problematics and its use for laboratory applications. Machine vision is basically the substitution of human vision for machines using a video camera and a computer. The essence of this thesis is a brief review of machine vision and the issues associated with machine vision systems and brief description of hardware, software and algorithms used for this work. Implementation of machine vision on Raspberry Pi and Cognex platform. Connection of the Raspberry Pi platform with a parent platform (automaton, robot) and subsequent evaluation of the solution.
Lab Automation with SCARA Robot
Machala, Jan ; Lang, Stanislav (referee) ; Matoušek, Radomil (advisor)
The aim of this thesis is to design and program a robotic cell for processing Covid-19 laboratory samples. To prevent the leakage of hazardous substances into the environment, the entire robotic cell is restricted to the space of a laminar box. The Epson LS3-B SCARA robot was chosen for handling the tubes. The robotic cell was designed using a digital twin in the simulation environment of Epson RC+ software. The digital twin facilitated the prototyping of the robot end effector and helped to detect any collisions that may have occurred in the confined space. After successful design using the digital twin, this robot cell was assembled and tested in a real-world environment.

National Repository of Grey Literature : 124 records found   1 - 10nextend  jump to record:
See also: similar author names
4 Matoušek, Radek
1 Matoušek, Radovan
13 Matoušek, Roman
8 Matoušek, Rudolf
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