National Repository of Grey Literature 86 records found  beginprevious74 - 83next  jump to record: Search took 0.01 seconds. 
QRS Complex Detector
Kubík, Adam ; Provazník, Ivo (referee) ; Smital, Lukáš (advisor)
The aim of my thesis is to introduce issue of detection of QRS complex by squaring and envelope detection. The first part focuses on creation and scanning of heart electrical activity. Afterwards, the most frequent types of disturbance of EKG signal and their filtering are described. The second part is about real application of signal filtration and emphasis of QRS complexes using the methods which are mentioned above. Practical part is externalized in Matlab program. And signals from CSE library are used to test efficiency of the detectors.
Marketing systems of construction SMEs
Muškát, Petr ; Vejtasa, Jan (referee) ; Dohnal, Radek (advisor)
The main objective of this thesis is to create an effective database system, which also serves as a source of information. The proposed system aims to facilitate and simplify the clarity of internal company information, about customers but also their employees. Then there is also the possibility to control workforce planning for individual contracts and globally but also meeting their the deadlines. We can notforget the marketing approach of the company and its public promotion.
Signal Processing Using Sound Card with ASIO System
Polanský, Štěpán ; Schimmel, Jiří (referee) ; Rumánek, Jaroslav (advisor)
This work is introduction of professional system ASIO which serves signal processing. It contains list of functions and applications. It clears up important theory of signal processing by personal comuputer and considerable conceptions. Work is engaged in possibilities of real time signal processing. Work contains procedure of realization the application interface for sound processing via language c++, basic methods for programing with ASIO driver and analyse of sound effects.
Analysis of cytology images
Pavlík, Jan ; Blaha, Milan (referee) ; Kolář, Radim (advisor)
This master’s thesis is focused on automating the process of differential leukocyte count in peripherial blood using image processing. It deals with the design of the processing of digital images - from scanning and image preprocessing, segmentation nucleus and cytoplasm, feature selection and classifier, including testing on a set of images that were scanned in the context of this work. This work introduces used segmentation methods and classification procedures which separate nucleus and the cytoplasm of leukocytes. A statistical analysis is performed on the basis of these structures. Following adequate statistical parameters, a set of features has been chosen. This data then go through a classification process realized by three artificial neural networks. Overall were classified 5 types of leukocytes: neutropfiles, lymphocytes, monocytes, eosinophiles and basophiles. The sensitivity and specificity of the classification made for 4 out of 5 leukocyte types (neutropfiles, lymphocytes, monocytes, eosinophiles) is higher than 90 %. Sensitivity of classiffication basophiles was evaluated at 75 % and specificity at 67 %. The total ability of classification has been tested on 111 leukocytes and was approximately 91% successful. All algorithms were created in the MATLAB program.
Simulation scenarios in NS2 demonstrating knowledge of BGP and multicast
Sobotka, David ; Komosný, Dan (referee) ; Jeřábek, Jan (advisor)
Network simulation can be beneficial not only in solving problems while applying new standards or recommendations, but also primarily an aid in understanding and verifying knowledge of behaviour of communications protocols. The aim of the thesis is to create illustrative tasks in the simulation environment, Network Simulator 2 (NS-2), which are designed to verify the behavior of BGP and multicast. Created tasks are above all devoted to BGP, which is the cornerstone of routing information of all IP networks conglomerate, the Internet. The first two tasks designed for BGP use the implementation of ns-BGP and the remaining are based on the implementation of BGP++. The tasks verify both the function of basic attributes of the protocol, influencing the decision making process when routing information (AS_PATH, MED, LOCAL_PREF, WEIGHT), and furthermore the methods or parameters affecting the efficiency of the process of routing and a reduction of excessive network traffic (BGP confederation, routing, aggregation, MRAI). The last task regards multicast, more specifically the type of DM, which is a group of the so-called Dense Mode. The task illustrates how to join/leave groups and spread messages of types GRAFT and PRUNE under a constant data stream.
Measurement of Deflection of Filtration Fabric
Baňoch, Ondřej ; Gajdoš, Petr (referee) ; Brandejs, Jan (advisor)
This bachelor thesis deals with measurements of deflection of filter fabrics of rotating disc filters segment. The main goal is established dependence of deflection of filter fabrics of the pressure at different preload. First part reviews different types of filter devices and their functions. Main focus is on rotation filter discs and their rotation parts. In the next part different filter fabrics are described, different ways of their production and examination of some of their characteristics. The measurements of deflection of fabrics are documented as well as used methodology. In the final part the data obtained from the measurements are evaluated and possible application in manufacture is discussed.
Data assimilation methods used in the ASIM module
Šmídl, Václav ; Hofman, Radek ; Pecha, Petr
Comprehensive review of data assimilation methods for improvement of the model predictions of consequences of a radiation accident. The methods of the numerical optimization techniques and sequential Monte Carlo techniques are implemented. Applications in the field of consequence assessments are presented.
Implementing the new structural model of the Czech national bank
Andrle, Michal ; Hlédik, Tibor ; Kameník, Ondra ; Vlček, Jan
The purpose of the paper is to introduce the new "g3" structural model of the Czech National Bank and illustrate how it is used for forecasting and policy analysis. In the paper writers highlight the most important and unusual features of the model and discuss tools and procedures that help us in forecasting and assessing the economy with the model.
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Nesting of Data Assimilation Cycles into the Recursive Model Predictions
Pecha, Petr ; Kuča, P.
Model errors analysis, influence of variability of important meteorological inputs. Specific features of introduction of advanced assimilation techniques based on merging of all available associated information including real observations incoming from terrain.
State estimation with missing data and bounded uncertainty
Pavelková, Lenka
The paper deals with two problems in the state estimation: (i) bounded uncertainty and (ii) missing measurement data. An algorithm for the state estimation of the discrete-time state space model whose uncertainties are bounded is proposed here. The algorithm also copes with situations when some data for identification are missing. The Bayesian approach is used and maximum a posteriori probability estimates are evaluated in the discrete time instants. The proposed estimation algorithm is applied to the estimation of vehicle position when incomplete data from global positioning system together with complete data from the inertial measurement unit are at disposal.

National Repository of Grey Literature : 86 records found   beginprevious74 - 83next  jump to record:
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