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Expert Systems in the eHealth
Němcová, Michaela ; Provazník, Ivo (referee) ; Sekora, Jiří (advisor)
This work focuses on the use of expert systems in engineering and medicine with the use of eHealth. The aim is the creation of an expert system that utilizes available systems for measuring physiological parameters of a patient, and helps him with the primary examination before visiting the doctor. Part of this work is a description of the problems of expert systems, descriptions of the eHealth and system testing in a doctor’s office. Work created in collaboration with Honeywell.
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Performance Measurement of Selected Drools Tools
Široký, Petr ; Fiedor, Jan (referee) ; Letko, Zdeněk (advisor)
Performance testing is often overlooked. This thesis describes the performance testing of the Drools Expert and Drools Fusion tools. Drools is a Business Logic Integration Platform. Expert and Fusion are parts of this platform, which provide rule based expert system and event processing capabilities respectively. Tests are designed and implemented with main focus on finding performance regression between different versions of Expert and Fusion tools. Results for two versions of these tools are discussed at the end of the thesis.
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Card Game Maryáš For Mobile Devices
Pumprla, Tomáš ; Rychnovský, Lukáš (referee) ; Křivka, Zbyněk (advisor)
This thesis deals with development of application for mobile phones programmed in Java - J2ME. The application is a card game Marias. User can choose play with two other people or with computer which is managed by expert system. This expert system is able to updade its "knowledgebase" via HTTP communication.
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Analysis and Implementation of Virus Pattern Rules
Janeček, Jiří ; Schäfer, Jiří (referee) ; Janoušek, Vladimír (advisor)
This bachelor's thesis deals with analysis and implementation of rules for program, which routes virus samples for their later processing. The expert system is integrated in this program. It was created by using tool called CLIPS. This thesis also describes environment, where program is situated, and importance of component like this in system for virus sample processing. Analyzer has been implemented in C/C++ language.
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Card Game Tarot For Mobile Devices
Sykala, Vít ; Čermák, Martin (referee) ; Křivka, Zbyněk (advisor)
This thesis describes development of the Tarot game for mobile devices. The game is developed in Java - J2ME. The application allows to play Tarot to one through four people. The player intelligence represented by the mobile device is implemented as an expert system. The expert system rules can be changed without necessity to recompile the application. Designed and implemented expert system uses a lightweight version of Prolog language as a knowledge base. The system requires the rules of precisely defined form specified in this thesis.
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Making CLIPS Available from Ruby
Čecho, Jaroslav ; Smrčka, Aleš (referee) ; Letko, Zdeněk (advisor)
This thesis describes a library called rbClips that makes CLIPS functionality available from Ruby. CLIPS is a public domain tool for building expert systems that was originally developed in NASA in 90's. The tool itself is written in C but its user interface is very similar to the Lisp language. Ruby is a modern dynamic scripting language that offers programmer flexible syntax, purely object environment, openness of objects and other interesting features. The library is ment to be used to build expert system for detection of a possibly malicious code in an antivirus software.
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Expert system NPS
Plch, Miroslav ; Polách, Petr (referee) ; Jirsík, Václav (advisor)
The bachelor thesis deals with the suggestion to set a knowledge base for an expert system. Knowledge base is made for the topic of vibrations and sounds inside an automobile. The solution is based on a diagnostic expert system NPS32. The base that is produced can be used to identify the most frequent automobile defects.
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Expert Systems and Advanced Algorithms in Mobile Robots Path Planning
Abbadi, Ahmad ; Šeda, Miloš (referee) ; Volná,, Eva (referee) ; Matoušek, Radomil (advisor)
Metody plánování pohybu jsou významnou součástí robotiky, resp. mobilních robotických platforem. Technicky je realizace plánování pohybu z globální úrovně převedena do posloupnosti akcí na úrovni specifické robotické platformy a definovaného prostředí, včetně omezení. V rámci této práce byla provedena recenze mnoha metod určených pro plánování cest, přičemž hlavním těžištěm byly metody založené na tzv. rychle rostoucích stromech (RRT), prostorovém rozkladu (CD) a využití fuzzy expertních systémů (FES). Dosažené výsledky, resp. prezentované algoritmy, využívají dostupné informace z pracovního prostoru mobilního robotu a jsou aplikovatelné na řešení globální pohybové trajektorie mobilních robotů, resp. k řešení specifických problémů plánování cest s omezením typu úzké koridory či překážky s proměnnou polohou v čase. V práci jsou představeny nové plánovací postupy využívající výhod algoritmů RRT a CD. Navržené metody jsou navíc efektivně rozšířeny s využitím fuzzy expertního systému, který zlepšuje jejich chování. Práce rovněž prezentuje řešení pro plánovací problémy typu identifikace úzkých koridorů, či významných oblastí prostoru řešení s využitím přístupů na bázi dekompozice prostoru. V řešeních jsou částečně zahrnuty sub-optimalizace nalezených cest založené na zkracování nalezené cesty a vyhlazování cesty, resp. nahrazení trajektorie hladkou křivkou, respektující lépe předpokládanou dynamiku mobilního zařízení. Všechny prezentované metody byly implementovány v prostředí Matlab, které sloužilo k simulačnímu ověření efektivnosti vlastních i převzatých metod a k návrhu prostoru řešení včetně omezení (překážky). Získané výsledky byly vyhodnoceny s využitím statistických přístupů v prostředí Minitab a Matlab.
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Artificial Intelligence in Power Oil Transformers Diagnostics
Janda, Ondřej ; Szabó,, Radek (referee) ; Kratochvíl, Petr (referee) ; Hammer, Miloš (advisor)
This dissertation thesis deals with the application of expert systems and soft computing methods in field of power oil transformers. The main work is divided into theoretical and practical part. First, the theoretical part presents the basic elements of the transformer, and approaches to its diagnosis. The work focused mainly on the diagnostics of the insulation system, and diagnostic methods and approaches in this specific area. Next part describes the basics of expert systems and other soft computing methods such as: fuzzy logic, neural networks, genetic algorithms and their combinations and extensions. At the end of the theoretical part, the possibility of optimization approaches by means of artificial intelligence and its application in fuzzy model optimization are described. The practical part begins with description of the used data file that runs through the entire work. The work is then divided into four parts, namely in parts which deal with the expert system for transformer diagnostics, DGA module, prediction module, and optimization using artificial intelligence. The section describing the expert system gives specific information about the particular expert system. The means and techniques used for constructing given system are described, and then the complete system design and description of all subsystems and modules are presented. The next section describes the developed DGA module and all selected approaches to its implementation and expansion. At the end of the chapter, the results of comparison between all implemented methods are evaluated. The third part deals with the prediction module and describes its design and construction, including description of the main parts which are based on the selected predictive approaches. Also, the predictions of selected quantities from the data file are included. There are two predictive approaches being used: the one step prediction, and the multiple step prediction. The comparison of prediction accuracy and computational cost of given methods is presented at the end of this chapter. The last part deals with the possibilities of optimization using artificial intelligence methods, namely differential evolution, PSO, and genetic algorithms. Both the single-objective and the multi-objective optimization are considered. The methods are compared in a series of synthetic tests and then applied to optimize the fuzzy models of DGA tests from an earlier part of this work. The dissertation also includes chapters: "The Aims", "The Contribution of the Work", and a list of publications, products, and projects of the author.
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MODELOVÁNÍ INVESTIČNÍHO ROZHODOVÁNÍ V PODMÍNKÁCH NEJISTOTY A NEURČITOSTI
Soukupová, Ljuba ; Dalík, Josef (advisor)
This doctoral thesis is focused on the problem of investment decision making under uncertainty with computer support. On the basis of theoretical and empirical findings there was designed proposal of artificial intelligence tools implementation into the present methods of investment decision making under uncertainty. Constructive idea of this doctoral thesis is in fuzzy model of investment decision making for non-financial companies investments and implementation of this model into the knowledge base of expert system. Methodology of investment decision making under uncertainty was created on the background of mentioned practice of decision making about investment. Although from the first sight designed methodology appears to be complicated it has proved high effective in practice.
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