|
| |
|
| |
|
|
Multidimensional indexing using the VA-file
Fajt, Stanislav ; Hoksza, David (referee) ; Skopal, Tomáš (advisor)
The goal of this work was to character the indexing structure VA-file and perform the huge variety of this structure examinations. In addition, I have also described a comparison between two data structures, namely VA-File and R-tree, which has been based on the numer of experiments too. In order to analyze/search inquiries by means of the data structure VA-File the algorithm VA-NOA (near optimal algorithm) has been used. In the course of testing high-level multiplicity has been preferred. I made efforts to survey a performance of the indexing structure as widely as possible and achieve a detail view of the comparison between the qualities of the VA-File and R-tree structures. The project has resulted in the implementation of the structure VA-File that has been applied to the experiments. Since this implementation has been properly described, it is possible to see the impact of each of the parameters on the indexing file generation. Furthermore, the data structure effectiveness in the course of searching is defined in terms of multidimensional range inquiries.
|
|
|
Database schema documentation generator
Berka, Lukáš ; Hoksza, David (referee) ; Kopecký, Michal (advisor)
The bachelor thesis discribes design and implementation of database schema documentation generator. It uses Schemagic application to create wellarranged documentation in user-defined output format. Schemagic is used to load information about schema into a XML document. For output documentation HTML, PDF, Postscript, RTF, DocBook and FO (XML file of formating objects) formats are supported. The Gendok application also generates some graphic information, e.g. graphs of dependencies between tables.
|
|
|
Internal IS for travel agency
Selement, Pavel ; Hoksza, David (advisor) ; Žemlička, Michal (referee)
The task of the work is to design and implement an information system for a travel agency. The system is supposed to assist at business of a small travel agency. Editing of capacities, booking and selling, voucher printing and sale statistics are all problems to deal with. Application is designed only for inside use in a travel agency and for its contract partners, it's not intended as a booking software for clients. There are some accountant information and cost items in system because of this focus. Coffers control can be managed thru the application interface and user management is of course also part of this application. The system allows mass import of data due to a lot of data which have to be inserted into it.
|
|
|
Hand Recognition
Malovec, Róbert ; Hoksza, David (referee) ; Štanclová, Jana (advisor)
The research object of this diploma thesis is hand recognition problematics. The first part of this work is dedicated to palm photograph processing and extraction of characteristic features. Extracted features are used as inputs of investigated classification methods. The second part of this work provides detailed description of explored methods and their modifications, which are the research objects. Diploma thesis includes description and experimental results of minimum distance classifier, Bayes naive classifier and method based on neural networks. The aim of this work is the comparison of the particular methods with respect to classification success and time needed for classifier construction and classification of all available patterns. The main approach is to choose the best method, which solves the problem of hand recognition according to our experimental results.
|
|
|
Requirement management tool
Jelen, Martin ; Hoksza, David (referee) ; Kopecký, Michal (advisor)
Managing requirements for software projects is a key task throughout the whole lifetime of the project. Recognizing this, it is the goal of the bachelor thesis to design and implement a tool that simplifies and automates requirements management and provides a clear view of the current state of managed projects as well as their history. It is not intented as a single project management solution but rather to be used with other specialized software. Implemented is the ability to capture the managed project's structure and multiple types of requirements (e.g. functional, performance, usability) with clearly defined relationships. The project's representation can further evolve, all previous versions are stored and changes can be reviewed. Data presentation is accomplished with multiple views of requirements and allows to trace changes through the relationships. Finally, the gathered data may be exported in either structured form for further transformation or as user-readable reports. Requirements, their atributes and types, as well as views on the requirements are highly configurable to provide support to projects independent of development methodology used - from agile approaches with minimum administrative documents to more formalized processes such as RUP.
|
|
|
ER-diagrams editor
Ibrahimová, Nora ; Yaghob, Jakub (advisor) ; Hoksza, David (referee)
The present work describes the implementation of an ER diagram editor, which is meant to help with conceptual modeling learning. The program called ER editor enables users to draw ER diagrams and generate accordant SQL scripts for database creation. This tool can reverse engineer an SQL script as wall. Before generating both ER diagram and SQL script, the source sript/diagram is verified. The work also describes the theoretical priciples of SQL script generation and reverse engineering, including the layout of diagram on canvas. It also features a comparison of the implemented program with similar programs, and other information.
|
|
|
Multidimensional Indexing for relational DBMS
Hoksza, David ; Kopecký, Michal (referee) ; Skopal, Tomáš (advisor)
The goal of this work was to implement a multidimensional indexing method into a database system and compare this method with existing implemtations of multidimensional indexing methods in current database platforms (MSSQL, Oracle, ... ). PostgreSQL was chosen for the implementation, because it suits the requirements of integrating own access methods in a modular way. The active development comunity which this platform unites has also played a part, since it assures help with problems related to the development. Last but not least, PostgreSQL was also chosen because its source code is accessible This was priceless in the effort of understanding the core of PostgreSQL (mainly work with memory), which has direct influence on user defined access methods, especially indexes. An already existing implementation of R-tree over object framework ATOM was used as an indexing method, which allows implementing of persistent tree structures. As a direct consequence of the work, not only has arised the implementation of Rtree in PostgreSQL, but also a generic framework which allows implementing external indexing in PostgreSQL with a minimum knowledge of how PostgreSQL works. The user of the framework implements his/her own persistent searchnig methods and connects these methods to the mentioned framework, which provides...
|
|
|
Machine learning-based identification of separating features in molecular fragments
Ravi, Aakash ; Hoksza, David (advisor) ; Škoda, Petr (referee)
Chosen molecular representation is one of the key parameters of virtual screening campaigns where one is searching in-silico for active molecules with respect to given macromolecular target. Most campaigns employ a molecular representation in which a molecule is represented by the presence or absence of a predefined set of topological fragments. Often, this information is enriched by physiochemical features of these fragments: i.e. the representation distinguishes fragments with identical topology, but different features. Given molecular representation, however, most approaches always use the same static set of features irrespective of the specific target. The goal of this thesis is, given a set of known active and inactive molecules with respect to a target, to study the possibilities of parameterization of a fragment-based molecular representation with feature weights dependent on the given target. In this setting, we are given a very general molecular representation, with targets represented by sets of known active and inactive molecules. We subsequently propose a machine-learning approach that would identify which of the features are relevant for the given target. This will be done using a multi-stage pipeline that includes data preprocessing using statistical imputation and dimensionality...
|
guest ::
