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Torrent Peer Monitoring
Bezděk, David ; Pluskal, Jan (referee) ; Polčák, Libor (advisor)
This master's thesis deals with analysis and implementation of methods for BitTorrent monitoring focusing on the Mainline DHT protocol. The aim of the thesis was to create a system, that will be looking for BitTorrent peers that participe in the illegal file distribution. Another task of the system was to collect and analyze data for counting size of the BitTorrent network. That was achieved by taking over of existing method. The system was designed and implemented as a module for monitoring of cybernetic crime. It also defines an interface for storing and sharing data, that provides data evaluation, easy data manipulation and serves for possible future extensions.
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Geolocation services in Czech Republic
Nováková, Petra ; Zbiejczuk, Adam (advisor) ; Fiala, Jakub (referee)
This bachelor thesis deals with exploitation of geolocation services in the Czech Republic. It is divided in two parts. The theoretical part focuses on location-based services apps and their application in the field of online marketing. The practice part includes a survey focused on the user experience of Foursquare apps and with the similar apps Swarm and also on their opinion on the upgrade of these services that was implemented in 2014. The other part of the thesis is the analysis of four companies which operate active venues on Foursquare used for marketing presentation. The aim of this bachelor thesis is to analyze the current state of the utilization of the geolocation applications especially Foursquare and Swarm in the Czech Republic both from the users` perspective and the perspective of the venues administrators. Powered by TCPDF (www.tcpdf.org)
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Particle Swarm Optimization on GPUs
Záň, Drahoslav ; Petrlík, Jiří (referee) ; Jaroš, Jiří (advisor)
This thesis deals with a population based stochastic optimization technique PSO (Particle Swarm Optimization) and its acceleration. This simple, but very effective technique is designed for solving difficult multidimensional problems in a wide range of applications. The aim of this work is to develop a parallel implementation of this algorithm with an emphasis on acceleration of finding a solution. For this purpose, a graphics card (GPU) providing massive performance was chosen. To evaluate the benefits of the proposed implementation, a CPU and GPU implementation were created for solving a problem derived from the known NP-hard Knapsack problem. The GPU application shows 5 times average and almost 10 times the maximum speedup of computation compared to an optimized CPU application, which it is based on.
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Acceleration of Particle Swarm Optimization Using GPUs
Krézek, Vladimír ; Schwarz, Josef (referee) ; Jaroš, Jiří (advisor)
This work deals with the PSO technique (Particle Swarm Optimization), which is capable to solve complex problems. This technique can be used for solving complex combinatorial problems (the traveling salesman problem, the tasks of knapsack), design of integrated circuits and antennas, in fields such as biomedicine, robotics, artificial intelligence or finance. Although the PSO algorithm is very efficient, the time required to seek out appropriate solutions for real problems often makes the task intractable. The goal of this work is to accelerate the execution time of this algorithm by the usage of Graphics processors (GPU), which offers higher computing potential while preserving the favorable price and size. The boolean satisfiability problem (SAT) was chosen to verify and benchmark the implementation. As the SAT problem belongs to the class of the NP-complete problems, any reduction of the solution time may broaden the class of tractable problems and bring us new interesting knowledge.
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Limitation of swarming mood in beekeeping
SOUKUP, Tomáš
The aim of this paper is to describe the anti-swarming techniques for reducing and utilizing swarming mood in beekeeping. Examining twelve anti-swarming methods and their technical implementation, it lists both their advantages and disadvantages.
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