|
|
Family Trees Making from Parish Records
Tušimová, Lucia ; Zbořil, František (referee) ; Rozman, Jaroslav (advisor)
This work discusses the field of genealogy, different types of records and data in them. The thesis describes the topic of comparison of data and record linkage. It further it also discusses the design and implementation of the resulting system. The developed system connects people from parish records to larger pedigrees. These are then stored in the form of a graph database. The success of the interconnection of records was tested on the provided data sets.
|
|
|
Efficient Analysis of Stochastic Biochemical Systems
Tušimová, Lucia ; Hruška, Martin (referee) ; Češka, Milan (advisor)
The aim of the thesis is to make computation of the biochemical reaction networks more efficient. Modeling of biochemical systems using numerical methods uses continuous-time Markov chains. The problem is that in biochemical reactions arises an unmanageable amount of states. The fast adaptive uniformization method solves this problem at the cost of a small rounding mistake. This method was implemented in the STORM, which is tool for the analysis of systems involving random or probabilistic phenomena. Consequently, the effectiveness of this method was verified on a set of experiments.
|
|
|
Family Trees Making from Parish Records
Tušimová, Lucia ; Zbořil, František (referee) ; Rozman, Jaroslav (advisor)
This work discusses the field of genealogy, different types of records and data in them. The thesis describes the topic of comparison of data and record linkage. It further it also discusses the design and implementation of the resulting system. The developed system connects people from parish records to larger pedigrees. These are then stored in the form of a graph database. The success of the interconnection of records was tested on the provided data sets.
|
|
|
Efficient Analysis of Stochastic Biochemical Systems
Tušimová, Lucia ; Hruška, Martin (referee) ; Češka, Milan (advisor)
The aim of the thesis is to make computation of the biochemical reaction networks more efficient. Modeling of biochemical systems using numerical methods uses continuous-time Markov chains. The problem is that in biochemical reactions arises an unmanageable amount of states. The fast adaptive uniformization method solves this problem at the cost of a small rounding mistake. This method was implemented in the STORM, which is tool for the analysis of systems involving random or probabilistic phenomena. Consequently, the effectiveness of this method was verified on a set of experiments.
|
guest ::
