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Electronic module for acoustic detection
Maršál, Martin ; Klusáček, Jan (referee) ; Havránek, Zdeněk (advisor)
This diploma thesis deals with the design and implementation of an electronic module for acoustic detection. The module has the task of detecting a predetermined acoustic signals through them learned classification model. The module is used mainly for security purposes. To identify and classify the proposed model using machine learning techniques. Given the possibility of retraining for a different set of sounds, the module becomes a universal sound detector. With acoustic sound using the digital MEMS microphone, for which it is designed and implemented conversion filter. The resulting system is implemented into firmware microcontroller with real time operating system. The various functions of the system are realized with regard to the possible optimization (less powerful MCU or battery power). The module transmits the detection results of the master station via Ethernet network. In the case of multiple modules connected to the network to create a distributed system, which is designed for precise time synchronization using PTP protocol defined by the IEEE-1588 standard.
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Application of Mean Normalized Stochastic Gradient Descent for Speech Recognition
Klusáček, Jan ; Hradiš, Michal (referee) ; Pešán, Jan (advisor)
Umělé neuronové sítě jsou v posledních letech na vzestupu. Jednou z možných optimalizačních technik je mean-normalized stochastic gradient descent, který navrhli Wiesler a spol. [1]. Tato práce dále vysvětluje a zkoumá tuto metodu na problému klasifikace fonémů. Ne všechny závěry Wieslera a spol. byly potvrzeny. Mean-normalized SGD je vhodné použít pouze pokud je síť dostatečně velká, nepříliš hluboká a pracuje-li se sigmoidou jako nelineárním prvkem. V ostatních případech mean-normalized SGD mírně zhoršuje výkon neuronové sítě. Proto nemůže být doporučena jako obecná optimalizační technika. [1] Simon Wiesler, Alexander Richard, Ralf Schluter, and Hermann Ney. Mean-normalized stochastic gradient for large-scale deep learning. In Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pages 180{184. IEEE, 2014.
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3D data
Klusáček, Jan ; Janáková, Ilona (referee) ; Richter, Miloslav (advisor)
The goal of this thesis is to design methods for acquisition of three dimensional model of object using illumination by laser streak which is read by camera. The first part describes theoretical principle and points out some problems which are linked to this method. Followed by description of interfaces which can be used for acquisition of image from camera. Next part is focused on more detailed description of DirectShow interface which is used in this thesis. Description of concrete methods designated for processing acquired image, calibration and composition of three dimensional model are also topics of this work. The Last part describes device which was created to verificate and automatize designed methods.
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Effect of HFS Based Feature Selection on Cluster Analysis
Malásek, Jan ; Klusáček, Jan (referee) ; Honzík, Petr (advisor)
Master´s thesis is focused on cluster analysis. Clustering has its roots in many areas, including data mining, statistics, biology and machine learning. The aim of this thesis is to elaborate a recherche of cluster analysis methods, methods for determining number of clusters and a short survey of feature selection methods for unsupervised learning. The very important part of this thesis is software realization for comparing different cluster analysis methods focused on finding optimal number of clusters and sorting data points into correct classes. The program also consists of feature selection HFS method implementation. Experimental methods validation was processed in Matlab environment. The end of master´s thesis compares success of clustering methods using data with known output classes and assesses contribution of feature selection HFS method for unsupervised learning for quality of cluster analysis.
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Feature Selection Based on Dynamic Mutual Information
Manga, Marek ; Klusáček, Jan (referee) ; Honzík, Petr (advisor)
This work analyzes and discuss a issue of implementation feature selection method called Dynamic mutual information (DMIFS). Original description of the DMIFS contains several irregularities, therefore DMIFS can not be implemented exactly as original method. Results of implemented DMIFS is compared with results of original DMIFS. This results shows that implemented DMIFS is similar to the DMIFS. Next part of the work describes design of two new methods based on the DMIFS. The first method called DmRMR merges mRMR and DMIFS. Better performance but worse stability of DmRMR was proved by several tests. The second method called WDMIFS is weighted version of the DMIFS based on AdaBoost algorithm. The WDMIFS has worse performance than DMIFS. Finnaly, manual for implementing DMIFS to RapidMiner and Weka is provided.
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Artificial neural network RCE
Maceček, Aleš ; Klusáček, Jan (referee) ; Jirsík, Václav (advisor)
This paper is focused on an artificial neural network RCE, especially describing the topology, properties and learning algorithm of the network. This paper describes program uTeachRCE developed for learning the RCE network and program RCEin3D, which is created to visualize the RCE network in 3D space. The RCE network is compared with a multilayer neural network with a learning algorithm backpropagation in the practical application of recognition letters. For a descriptions of the letters were chosen moments invariant to rotation, translation and scaling image.
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Ingelligent Import of OSM into the Traffic Simulator TRASI
Muzika, Dávid ; Klusáček, Jan (referee) ; Honzík, Petr (advisor)
The thesis deals with the design and implementation of algorithms for import maps into the simulator TRASI. These algorithms are capable of import map from map portal OpenStreetMaps to the simulation environment. The work deals with adjusting the internal structure of the imported intersections, so that their structure was correct according to the rules of traffic. The work deals with the design and implementation of differential evolution for the design of the structure of intersections.
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Date acquire system for Micropel's PLC network
Klusáček, Jan ; Valach, Soběslav (referee) ; Macho, Tomáš (advisor)
This paper deals with desgin and implementation of hardware and software for data acquisition device. Device is based on single board computer FoxBoard G20 which is placed on custom board which provide RS485 interface and short-term UPS. Device is runing Linux with device driver which enabling communication with Micropel PLCs across RS485 bus. Data are read from PLCs are saved to database and afterwards presented to user via web interface.
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Ekonomická analýza podniku vykupujícího dříví
Klusáček, Jan
Thesis is focused on problematics purchase of wood, exactly determinating of purchase price of wood in two ways: puchase forest stand and purchase forest and land. In calculating purchase price are agreed all factors wich has influence on value including tax value. In thesis are publicated way of purchase wich are used in Czech Republic. Component of thesis is bussines plan with prediction outlay and earnings for one year by presumed montly output. Result of thesis publicated wich outlay has influence on finally purchase price a differnce tax value in two ways of purchase.
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Analýza nezaměstnanosti a jejích důsledků v okrese Frýdek-Místek
Sajdáková, Soňa ; Nezdařilová, Eva (advisor) ; Klusáček, Jan (referee)
V diplomové práci se zabývám analýzou nezaměstnanosti v okrese Frýdek-Místek. V první části analyzuji nezaměstnanost podle dosaženého vzdělání, pohlaví, věku a podle délky evidence na úřadu práce. Druhá část je věnována dotazníkovému šetření, které probíhalo v měsíci září 2006 na Úřadu práce ve Frýdku-Místku. Výsledkem mé práce jsou doporučení a návrhy ve formě čerpání prostředků z Evropského sociálního fondu, systému investičních pobídek, snížení prostředků v oblasti pasivní politiky zaměstnanosti a její navýšení v oblasti aktivní politiky zaměstnanosti, zrušení či zastavení růstu minimální mzdy a dále také ve formě podpory počítačové gramotnosti s cílem zefektivnit způsob vyhledávání práce prostřednictvím nových technologií, především internetu.
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