The aim of this thesis is to recognize a walking person in a sequence of images by defining his or her reference points to compare the course of their movement and then to identify the scanned person. Methods „k-means“ and „mean shift“ are used to obtain the silhouette of the person. However “environment model estimation” method is used here before those mentioned above. It is a type of a difference method and it helps to specify the scanning area and shortens the time of segmentation. During the search for the reference points the thesis focuses on three areas: the centre of the head and both ankle joints. Those points are later determined on the previous image sequence and compared with the real locations of the centre of the head and ankle joints marked by the user. The thesis also focuses on comparing the movement courses of those points and tries to identify the people whose walks are being scanned. Problematic situations which occurred during the whole process are analyzed in the end. The result of the thesis is an algorithm which can locate a moving person in an image sequence (video) and determine the reference points (centre of the head and ankles) to compare them and identify the scanned person.

This work deals with the on-line identification of permanent magnet synchronous motor parameters. There is discussed the use of four different identification algorithms based on the least squares method and MRAS. The functionality of the algorithms is verified in Matlab - Simulink environment. Simulation results are compared in terms of rate and accuracy of identification, resistance to noise and other factors.

This diploma thesis deals with the identification of persons by their fingerprints. In the beginning, there is a brief overview of biometric methods. The issue of fingerprints and their automatic processing is very extensive and addresses a large amount of literature. This work describes the various stages processing fingerprints from receiving a fingerprint scan through the methods of enhancing fingerprint, binarization, the detection of minutiae to compare two fingerprints. After a short introduction of biometric techniques is briefly introduced the history of fingerprints as an instrument for identification of persons. Subsequently, there is the description of problems of obtaining fingerprints from older methods that require the transmission medium, to methods of obtaining fingerprints directly into a digital format. There are described basic principles of sensors and the principle of their function. Next part deals with methods of processing digital fingerprint images. These are methods for fingerprint image enhancement, methods for image thresholding, thinning of ridge lines, detection of global and local characteristics of the fingerprint. The next section introduces the basic methods of comparison and classification of fingerprints. The practical part describes the specific implementation of fingerprint processing chain. For each processing stage is implemented one selected method. The result is an application that allows displaying the output of each phase, the comparison of fingerprints 1:1 and also finds a fingerprint in the database, by comparing one fingerprint with many.

This thesis deals with problem of experimental identification using principles of artificial intelligence and development of nonlinear models. It shows how to estimate parameters of nonlinear models and it compares different types of nonlinear models based on analytical analysis which were developed from measured data in simulation and real system motors with flexible component.

Master thesis is focused on the philosophy of design adaptive controller. In the theoretic part are described parts of the adaptive controller, which belongs parts as online identification by recursive least-squares method and PSD controller, which can set its parameters according to identified system (use Z-N method). The part of control system with transport delay is situated at the conclusion of the theoretic part, there are focused on Smith predictor. Practical part is focused on verification of all algorithms, which was performed on models and real systems.

This work focuses on the theory of artificial neural networks: the history, individual ways of learning and architecture of networks. It is also necessary to desribe the image processing blocks from scanning and image processing through segmentation to object recognition. The next part is focused on connecting the previous two parts, and therefore on the use of neural networks in image processing, specifically the identification of objects. In the practical part of the work is designed the user application for recognizing characters such as numbers, uppercase and lowercase letters.

Master thesis is focused on the philosophy of design adaptive controller. In the theoretic part are described parts of the adaptive controller, which belongs parts as online identification by recursive least-squares method and PSD controller, which can set its parameters according to identified system (use Z-N method). The part of control system with transport delay is situated at the conclusion of the theoretic part, there are focused on Smith predictor. Practical part is focused on verification of all algorithms, which was performed on models and real systems.

Introduce grauation work contains the detail characteristic of the marking of material elements incoming to store and work out from store. The main part of the work is aimed to shortening working time during material entry and work out from store. On ground ride out analyse has been suggested optimal soluti-on implementation marking of material elements into production company. Optimal type barcode has been designed and time schedule to implementation marking of material elements has been described. The technic-economical analysis proposed solution SAP console describing type and price component need to implementation this solution.

The aim of the thesis “Proposal of the Stock Holding Process according to ČSN ISO 9001:2000” is to analyze the current process of stock holding in a particular company and compare it with the requirements of quality management system according to the norm ČSN ISO 9001:2000. The theoretical part consists of on analysis of the existing knowledge in the area of warehousing, a definition of quality management and basic concepts of quality management related to stock holding in a company. The practical part of the thesis describes a procedure of making the analyzed processes of stock holding more effective.

The master's thesis describes working procedures of the pharmaceutical warehousing and distribution, analyses actual methods of communication and identification and shows the weaknesses of this system. The work offers possible innovations, actual trends in the field of the automatic identification, warehouse management and proposes taking advantage of combination of voice recognition and bar-codes system. The thesis describes the new technology implementation, continuing the current practice and update of standard operating procedures.