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Genetic Algorithms and Scheduling
Škrabal, Ondřej ; Popela, Pavel (referee) ; Roupec, Jan (advisor)
This work deals with scheduling problem in particular plastic production service. The solution is based on heuristic algorithms, programming languages C + +, C # and is built on the .NET framework and LINQ to XML. It provides the users with comparisons of the heuristic approach with genetic algorithms applied to production problem. All methods results are compared in relation to hand-arranged plans.
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Rabdom number generators
Mikulka, Zdeněk ; Schimmel, Jiří (referee) ; Zeman, Václav (advisor)
This thesis concerns with methods of pseudorandom numbers generation. It focus on software generators. There are pseudorandom number generators divided according to the way of generation and described single types. The next part describes methods of testing for quality of random and pseudorandom number generators. They are divided into theoretical and statistical tests. Some of these tests are used on available generators. The evaluation is based on results of these tests.
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Asymmetric-Key Cryptography in Embedded Systems
Záhorský, Matej ; Kula, Michal (referee) ; Nosko, Svetozár (advisor)
Účelom tejto práce je prieskum a implementácia existujúceho asymetrického kryptografického algoritmu v FPGA a vyhodnotenie jeho výkonu. Prvá kapitola sa zameriava na vstavané systémy a FPGA, pričom popisuje ich štruktúru a použitie. V druhej kapitole je porovnanie kryptografických algoritmov a ich vlastností, ktoré umožňujú ich použitie vo vstavaných systémoch. Fázy návrhu a implementácie v tomto projekte popisujú a implementujú riešenie, ktoré zahŕňa výber a integráciu podpisovacieho algorithmu v FPGA. Dodatočné optimalizácie na zvýšenie výkonu sú taktiež naimplementované vo forme hardvérovej akcelerácie, ktoré sú zároveň porovnané s pôvodným algoritmom v kapitole vyhodnotenia.
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Genetic Algorithms and Scheduling
Škrabal, Ondřej ; Popela, Pavel (referee) ; Roupec, Jan (advisor)
This work deals with scheduling problem in particular plastic production service. The solution is based on heuristic algorithms, programming languages C + +, C # and is built on the .NET framework and LINQ to XML. It provides the users with comparisons of the heuristic approach with genetic algorithms applied to production problem. All methods results are compared in relation to hand-arranged plans.
|
|
|
Rabdom number generators
Mikulka, Zdeněk ; Schimmel, Jiří (referee) ; Zeman, Václav (advisor)
This thesis concerns with methods of pseudorandom numbers generation. It focus on software generators. There are pseudorandom number generators divided according to the way of generation and described single types. The next part describes methods of testing for quality of random and pseudorandom number generators. They are divided into theoretical and statistical tests. Some of these tests are used on available generators. The evaluation is based on results of these tests.
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