This thesis is concerned with creation of designer for graphical user interface used in mobile devices. The application for these devices will be used for controlling system of intelligent electroinstallation. The thesis describes an existing solution of an intelligent electroinstallation provided by ELKO EP, s.r.o. It also contains detailed design of a prototype of an application to be used on mobile device and a desktop application used for graphical design.

Main objective of this graduation thesis is clarification of informations about human emontions and its recognition and classification on basis of generally known methods. Among generally known methods belongs classification based on mimic and pantomimic expression basis and on voice tone basis. This graduation thesis is primary focused on human emotions recoginition and classification on text messages analysis. Specifically anger and joy. A Czech database in lemma form was crated for this method and it contains emotion functional words. It was made by translation of English emotion functional words and it is divided to emotion key words, emotion modification words and emotion phrases. Also was made special database of neutral words, which are removed from emotions classification except emotion phrases comparation. A degrees were assigned to emotion key words and phrases and this assignment was made by more people. That guarantee better objectivity of the database. Values of single emotion words and phrases might be influenced by emotion modification words, words that contains gradation, negation or punctuation. Output of this graduation thesis is application in JAVA language. That application after insertion input text message compare single words with all available databases and count resultant emotion rate for joy and anger emotions. Evaluation involve also single words, sentences and paragraphs. Application was designed in NetBeans with Swing GUI Builder.

This diploma thesis is focused on network monitoring. The theoretical part describes using of detection and prevention systems, properties of these systems, their components and detection techniques. Next part of the thesis is focused on EndaceProbe analyzer and analytic application EndaceVision. Also web services, programming language WSDL and protocol SOAP are described. The practical part is focused on creating three laboratory exercises for network monitoring and for using EndaceProbe. Components of the exercises are the traffic generator IXIA and Cisco switches with the application of remote switched port analyzer. There are also used web services EndaceProbe, programming language WSDL and SOAP protocol.

This master's thesis deals with questions of the data mining and an extension of a data mining system in the Oracle environment developed at FIT. So far, this system cannot apply to real-life conditions as there are no data mining modules available. This system's core application design includes an interface allowing the addition of mining modules. Until now, this interface has been tested on a sample mining module only; this module has not been executing any activity just demonstrating the use of this interface. The main focus of this thesis is the study of this interface and the implementation of a functional mining module testing the applicability of the implemented interface. Association rule mining module was selected for implementation.

This diploma thesis deals with component-based software development using an advanced process object methodology in problem domains with multilayer process logic. In the present study, the corporate process domain Human resources management (HRM -- Human Resource Management) was analysed and its process and data modelling on selected process subsystems was carried out. It is modelling was brought to a successful conclusion by creating target software in the form of a component system applying the object methodology Unified Process (UP) with associated dominance of development of component systems. The obtained component system of the Human Resource Management domain was physically implemented using the Java NetBeans Platform component model

This master thesis is mainly focused on the backup systems and describes each individual backup techniques in detail. Next main point of this thesis, is explaining functionality of IPv4 and FTP, which are closely related to the topic. Outcome is a backup application written in Java language, which is capable of backup files on FTP server or on local/ network storage area. Backup application also allows settings for automatic backup and restoring files from the storage area. Finally there was made a measurment, where were point out advantages and disadvantages of transfer mediums and where was practically shown a logic of creating the backup system. Goal was a creation of multiplatform backup application.

System for data mining Fit-Miner is now dependant on only one specific DBMS. This master’s thesis  deals with analysis of implementation that works with database, modules and functions for data mining. Next it shows the set of changes which will allow FIT-Miner to work with another DBMS. And finally, a description of the implementation of these changes.

This diploma thesis deals with the data mining and the creation of data mining unit for data mining system, which is beeing developed at FIT. This is a client application consisting of a kernel and its graphical user interface and independent mining modules. The application uses support of Oracle Data Mining. The data mining system is implemented in Java language and its graphical user interface is built on NetBeans platform. The content of this work will be the introduction into the issue of knowledge discovery and then the presentation of the chosen Bayesian classification method, for which there will subsequently be implemented the stand-alone data mining module. Furthermore, the implementation of this module will be described.

The master's thesis deals with the knowledge discover in databases and with the extending of the data mining systems in the Oracle environment developed at the VUT FIT. The system kernel conception incorporates an interface that enables the adding of data mining modules. The objective of the thesis is to learn this interface and implement and embed the data mining module for decision-tree classification into the application. In addition, the thesis compares the application with similar commercial product SAS Enterprise Miner

Två grundläggande paradigm inom datavetenskap är objektorienterad programmering och relationsdatabasteknik. En kombinering av applikationer gjorda i ett objektorienterat programmeringsspråk med den beständighet och funktionalitet som ges av relationsdatabaser är en möjlig vidareutveckling av ens kunskaper inom dessa områden. Kombinationen av dessa båda förutnämnda paradigm innebär åtminstone ett problem som uppkommer då en relationsdatabas lagrar data i tabeller och en objektorienterad applikation lagrar data i objekt. Detta problem kallas objekt/relations paradigmens missanpassning. På grund av detta problem så måste kopplingen mellan paradigmen skötas av ett ramverk av något slag. I vår rapport så undersöker vi två av de ramverk som behandlar kopplingen mellan paradigmen. Specifikt i våran studie kommer vi att fokusera på kvalitetsattributet användbarhet. De ramverk som vi undersöker heter Java Database Connectivity (JDBC) och Hibernate. Båda dessa verktyg är skapade för det objektorienterade programmeringsspråket Java. / Two of the fundamental paradigms within computer science are object oriented programming and relational databases. A combination of an object oriented application with the persistence and functionality provided by relational databases is a further development of one’s knowledge within these areas. The combination of the two aforementioned paradigms will yield at least one problem, which occurs because in a database data is stored in tables whereas an object oriented application stores data in objects. This problem is called the object/relational paradigm mismatch. Because of this problem the connection between the paradigms must be handled by some kind of framework. In our report we investigate two of the frameworks which handle the connection between the paradigms. Specifically in our study we will focus on the quality attribute usability of the two frameworks and conduct a comparison between these two. The frameworks we investigate are called Java Database Connectivity (JDBC) and Hibernate. Both of these tools are created for the object oriented programming language Java.