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Expert systems ES for home study and evaluation
Novák, Jaroslav ; Honzík, Petr (referee) ; Jirsík, Václav (advisor)
This master thesis contains the basic information about knowledge and expert systems. The thesis contains theoretic text about architecture of the expert systems and representation knowledge. The text regarding on representation knowledge contains examples of different ways of knowledge representation for expert systems. In the next part is described the design and all functions of the expert systems. This expert system uses frames representation.
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Mobile Based Data Acquisition and Anomaly Detection
Ondrášek, Michael ; Holek, Radovan (referee) ; Honzík, Petr (advisor)
The work deals with the implementation of the specific architecture to detect anomalies in the classroom or in commercial use. The system consists of three parts: Measurement module, mobile applications and server part. Transmission between the measuring module of the server and the evaluation is carried out simultaneously with the visuals on the mobile device. All system components are implemented with the minimum cost and maximum expandability. All the necessary computing power is concentrated in the server part because of usability with multiple simultaneously operating mobile clients. Emphasis is placed on the solution architecture and the possibility of using the system as a whole, or selected portions separately. Finally, experiments are designed for the presentation of selected methods for anomaly detection.
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Data Preprocessing
Vašíček, Radek ; Beran, Jan (referee) ; Honzík, Petr (advisor)
This thesis surveys on problems preprocessing data. Forepart deal with view and description characteristic tests for description attributes, methods for work with data and attributes. Second part work describes work with program Rapidminer. It pays pay attention to single functions preprocessing in this programme describes their function. Third part equate to results with using methods preprocessing and without using data preprocessing.
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Pre-Amplifier for MEMS Microphone
Ryšavý, Jindřich ; Honzík, Petr (referee) ; Schimmel, Jiří (advisor)
Thesis discusses the possibility of using MEMS microphones in measuring systems. Describes the characteristics of MEMS components and shows possible realization of analog to digital signal convertor when a microphone with analog output is used. Design of the amplifier is made with respect to low noise and low power consumption. Also is shown the possibility of using antialliasing filter as microphone frequency response correction at the same time.
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Software demo of unsupervised learning
Slezák, Milan ; Sáblík, Václav (referee) ; Honzík, Petr (advisor)
The bachelor's thesis introduces the use of unsupervised learning and presents possibilities of cluster analysis. Software demo of unsupervised learning is a part of this thesis. This program was made as a teaching aid. It consists several input databases with different data distributions on the basis of which it is possible to explain very easily elementary principles of cluster analysis and differences between hierarchical clustering and partitional clustering.
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Traffic Model
Bilan, Martin ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
This Master thesis was created as research for project GA 102/09/1897 Security in car traffic - BAD, which is i.a. considers testing of continuousness of traffic with dynamically updated navigation. Main goal of project is simulator of traffic infrastructure creation. Simulators are two. One of them evaluate trafiic flow on bigger network of roads and crossroads. Second one simulate behaviour of cars during passage of crossroads. In this project is as well parsed theory of traffic activity and mentioned theoretical principles on which are built both simulators.
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Design and Testing of Stochastic Navigation in Traffic Simulator TRASI
Erben, Vojtěch ; Drahanský, Martin (referee) ; Honzík, Petr (advisor)
The thesis deals with the design and implementation of routing algorithms in trafic simulator TRASI. These algorithms are capable of planning vehicle's route by giving a set of crossroads that vehicle needs to go through. Furthermore, this work deals with design and implementation of stochastic navigation including implementation of communication between vehicles. Stochastic navigation suggests several alternative routes based on a traffic event. From these routes is randomly (stochastically) choosen one based on information about the throughput of particular found routes. In the introduction of this work is described the traffic simulator TRASI, it's user interface and basic control interface. Further is described theory of traffic flow on macroscopic and microscopic level, followed by the descripion of algorithms for oriented graphs traversal and their implementation in the simulator. In the following parts of this thesis is described communication layer, that takes care of the communication between vehicles, and it's implementation. Further is described design and implementation of stochastic navigation. In the final chapter is done verification of the functionality of the simulator and tests of particular routing algorithms.
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Unsupervised learning
Kantor, Jan ; Sáblík, Václav (referee) ; Honzík, Petr (advisor)
The purpose of this work has been to describe some techniques which are normally used for cluster data analysis process of unsupervised learning. The thesis consists of two parts. The first part of thesis has been focused on some algorithms theory describing advantages and disadvantages of each discussed method and validation of clusters quality. There are many ways how to estimate and compute clustering quality based on internal and external knowledge which is mentioned in this part. A good technique of clustering quality validation is one of the most important parts in cluster analysis. The second part of thesis deals with implementation of different clustering techniques and programs on real datasets and their comparison with true dataset partitioning and published related work.
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