National Repository of Grey Literature 24 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Systems for remote measurement in power engineering
Hudec, Lukáš ; Mlýnek, Petr (referee) ; Mišurec, Jiří (advisor)
The work deals with the measurement and management in power. Provides an introduction to the problems of remote meter reading, management, and describes the current situation in the field of modern technologies Smart metering and Smart grids. It also analyzed the issue of collection of networks and data collection from a large number of meters over a wide area. For the purpose of data transmission are described GPRS, PLC, DSL, ... Further, there are given options to streamline communication. This area is used hierarchical aggregation. Using k-means algorithm is a program designed to calculate the number of concentrators and their location in the group of meters. The finished program is written in Java. It has a graphical interface and shows how the calculation is conducted. To verify the results of the optimization program is given simulation model in OPNET Modeler tool. Audited results are described in the conclusion and can deduce that using the optimization program is to streamline communications.
The Shortest Graph's Pahts Finding
Jágr, Petr ; Ohlídal, Miloš (referee) ; Jaroš, Jiří (advisor)
The aim of this thesis is finding, comparing and implementation of algorithms for finding the shortest paths between each of pairs of nodes in a graph. For this task I use modifications of existing algorithms to achive the lowest time consumption of the computation. Modifications are established on Dijkstra's and Floyd-Warshall's algorithm. We also familiarize with Bellman-Ford algorithm.
Demonstration of Graph Algorithms
Varadinek, Jakub ; Zámečníková, Eva (referee) ; Křivka, Zbyněk (advisor)
This bachelor thesis deals with the development of the application for demonstration and visualization of several graph algorithms. The application allows the user to create a graph, rate edges or name and layout vertices. The individual algorithms can be performed in created graph for visual observation how the algorithm works. There is also the possibility of stepping through the chosen algorithm and an interactive mode where next steps are selected by the user and the application checks the correctness of these steps.
Shortest Paths in a Graph
Krauter, Michal ; Křivka, Zbyněk (referee) ; Masopust, Tomáš (advisor)
This thesis deals with shortest paths problem in graphs. Shortest paths problem is the basic issue of graph theory with many pracitcal applications. We can divide this problem into two following generalizations: single-source shortest path problem and all-pairs shortest paths problem. This text introduces principles and algorithms for generalizations. We describe both classical and new more efficient methods. It contains information about how some of these algorithms were implemented and offers an experimental comparison of these algorithms.
Graph Theory in Economic Practice
Geško, Dávid ; Půža, Bedřich (referee) ; Novotná, Veronika (advisor)
In Bachelor’s thesis we deal with Traveling salesman person problem. In theoretical part are introduced basic terms of graphs theory and methods to solve Traveling salesman person problem. Practical part draws a comparison among efficiency of several methods solving this problem in environment of real world examples. In summary analysis are these methods evaluated and consequently chosen and implemented most effective method for company, which want to use it to determining most optimized tours for distributing goods.
Application of distributed and stochastic algorithms in network.
Yarmolskyy, Oleksandr ; Kenyeres, Martin (referee) ; Novotný, Bohumil (advisor)
This thesis deals with the distributed and stochastic algorithms including testing their convergence in networks. The theoretical part briefly describes above mentioned algorithms, including their division, problems, advantages and disadvantages. Furthermore, two distributed algorithms and two stochastic algorithms are chosen. The practical part is done by comparing the speed of convergence on various network topologies in Matlab.
Shopping Advisor
Kocourek, Jakub ; Bartík, Vladimír (referee) ; Kolář, Dušan (advisor)
The attached bachelor thesis deals with nding the shortest ways in a shop for the selected purchase. The different technologies of creating web pages are described. As for the state space search algorithms are given for nding the shortest path between two points and for solving the travel salesmen problem. The thesis continues with the description of a design and implementation of application with all used technologies (PHP, Nette, MySQL, JS, JQuery) applying the Dijkstra's algorithm for nding the shortest path and genetic algorithm for solving the travel salesmen problem.
Application of distributed and stochastic algorithms in network.
Yarmolskyy, Oleksandr ; Kenyeres, Martin (referee) ; Škorpil, Vladislav (advisor)
This thesis deals with the distributed and stochastic algorithms, including testing their convergence in networks. The theoretical part briefly describes above mentioned algorithms, including their division, problems, advantages and disadvantages. Futhermore, two distributed algorithms and two stochastic algorithms are chosen. The practical part is done by comparing the speed of convergence on various network topologies in MATLAB.
Heuristics for paths in maps
Kudláčková, Lada ; Mareš, Martin (advisor) ; Kratochvíl, Miroslav (referee)
The content of the thesis is a description of heuristic procedures, which are used to find the shortest paths in the graphs and verify their effec- tiveness on the actual data. It deals with heuristics for Dijkstra's algorithm, especially the A* algorithm, which uses a lower distance-to-target estimate. Heuristics are implemented and tested on the road network of the Czech Re- public. 1
Mobile platform path planning algorithm design
Smolinský, Michal ; Kůdela, Jakub (referee) ; Holoubek, Tomáš (advisor)
The aim of this master's thesis is to create a program of selected laboratory tasks for the mobile robot TurtleBot3 Burger. These tasks are the mapping of an unknown environment and the design of a path planning algorithm using the ROS framework. The first chapters of the work, which describe the field of mobile robotics, the TurtleBot3 Burger robot, the Robotic Operating System, the used path planning algorithms, and The ROS Navigation Stack, are devoted to clarifying the necessary knowledge. After the robot is put into operation, the mapping and path planning task is created. The following chapter is dedicated to verifying the functionality of both tasks, which also includes a comparison of the used path planning algorithms. The evaluation of the application of the algorithms on the TurtleBot3 Burger platform, the benefits of the proposed algorithms and their practical use in a real environment is described in the final chapter of this work.

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