National Repository of Grey Literature 6,423 records found  1 - 10nextend  jump to record: Search took 0.51 seconds. 

Meta-Parameters of Kernel Methods and Their Optimization
Vidnerová, Petra ; Neruda, Roman
In this work we deal with the problem of metalearning for kernel based methods. Among the kernel methods we focus on the support vector machine (SVM), that have become a method of choice in a wide range of practical applications, and on the regularization network (RN) with a sound background in approximation theory. We discuss the role of kernel function in learning, and we explain several search methods for kernel function optimization, including grid search, genetic search and simulated annealing. The proposed methodology is demonstrated on experiments using benchmark data sets.

Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.

Multimedia communication
Vondra, Zdeněk ; Horný, Stanislav (advisor) ; Skrbek, Jan (referee) ; Jurášková, Olga (referee)
Multimedia is a form of communication and sharing knowledge using synergic effect of parallel connected communication channels. Its main use is in producing communications products and services and in design of user interfaces. Main objective of this dissertation is to develop and create a model of multimedia communication for better understanding of the meaning and the purpose of using multimedia forms in communication process. The model will describe a system of elements and parameters of multimedia communication within the internal and external context. Another objective of this dissertation is to develop multimedia communication methodology that will be used for the design, development and evaluations of concepts of multimedia communication. The methodology will be created by applying the model of multimedia communication into the procedure structure. In theoretical way this dissertation is based on analysis of different definitions and approaches to the multimedia communications topic. This is followed by an analysis of communication theories, concepts of media, multimedia, delivery channels, and communication functions. The theoretical part is followed by the outcomes of the research in practice of four different fields of multimedia use. The knowledge gained is analyzed in the following parts in purpose of creating the model of multimedia communication and the methodology which is derived from the model. The methodology is further validated through case studies and the recommendations for further development are formulated. The model and the methodology of multimedia communication created in this dissertation present complex view on multimedia communication topic that is considered as a useful tool for meeting a specific communication purpose. Dissertation provides mechanics for use and study of multimedia communication and also defines the opportunities for further development of the methodology.

Dynamic model of human resources in project management
Hančar, Michal ; Mildeová, Stanislava (advisor) ; Šviráková, Eva (referee)
This thesis is focused on dynamics of soft factors influencing workers during projects. These factors include motivation, workplace atmosphere, team synergy of workers and their emotions, and attribute of project manager who manages the project. Identification of soft factors and their relationships was achieved by examination of scientific literature in psychology and system dynamics. Description of managing project matters was achieved by examination of scientific literature dealing with project management. The main objective of this thesis is to create a dynamic model which simulates behavior of these soft factors influencing the project staff. The primary metric of the model is efficiency of workers participating on the project based on input parameters. Validation of the model was achieved by verification of historic behavior of key elements. Results of validation experiments correspond with historic behavior with roughly 95 % accuracy. At the end of this thesis is presented an ICT project case study. Based on the results of simulation experiments is performed a scenario analysis which tries to bring possible suggestions for project management.

INFLUENCE OF LASER CUTTING AND PUNCHING ON MAGNETIC PROPERTIES\nOF ELECTRICAL STEEL M470-50A
Bulín, Tomáš ; Švábenská, Eva ; Hapla, Miroslav ; Ondrůšek, Č. ; Schneeweiss, Oldřich
Electrical steel M470-50A belongs to the most often used materials in electrical machines. Due to this fact, it is desirable to know the magnetic parameters after processing raw sheets into the required shape. Basic parameters of mechanical, electrical, and magnetic properties of the sheets are usually obtained from the producer but the magnetic properties are changing in dependence on additional machining processes. The aim of this study is to describe changes in parameters of magnetic behavior after punching, laser and spark cutting of the original sheets. The basic information of structure was obtained by optical and scanning electron microscopy. The magnetic parameters were acquired from the measuring of magnetic hysteresis loops in dependence on saturation fields and frequencies. The results are discussed from the point of view of applied\ncutting technology with the aim to obtain the best magnetic parameters and consequently a higher efficiency of the final product. Results can be used as input parameters in simulation of the electrical machine.

HYDROGEN ABSORPTION IN A-Co30Fe55B15
Čermák, Jiří ; Král, Lubomír ; Roupcová, Pavla
Hydrogen solved in amorphous alloys (AAs) influences their magnetic characteristics. AAs are also perspective\nas additives that can improve hydrogen storage kinetic in certain types of ball-milled hydrogen storage\nmaterials (HSMs). Therefore, knowledge of hydrogen solubility and hydrogen sorption kinetics in AAs are of a\ngreat importance for aimed design both AAs with optimal magnetic parameters and HSMs with desired sorption\ncharacteristics. In the present paper, amorphous alloy Co30Fe55B15 (an example of the type a-TM1xTM2y Bz ;\nTM - transition metal) was investigated. Hydrogen concentration c H was measured by Sieverts method in\ntemperature interval from T = 150 °C to T = 350 °C under hydrogen pressure p up to 6 MPa. It was found that\nc H was an increasing function of p and its maximum value was typically 0.5 wt.% H2 at 350 °C and 6 MPa.\nHowever, when the alloy was preliminary hydrogen charged (PHC), the pressure dependence of total c Htot in\nthe first absorption cycle(s) is non-monotonous in dependence on PHC conditions. For the sake of comparison,\nthe same absorption characteristics were measured also in Mg2Ni intermetallic that is a common constituent\nin Mg-based HSMs. Comparing Co30Fe55B15 and Mg2Ni, it was concluded that Co30Fe55B15 shows lower\nhydrogen solubility, but much better absorption kinetics.

ELECTRON BEAM REMELTING OF PLASMA SPRAYED ALUMINA COATINGS
Matějíček, Jiří ; Veverka, J. ; Čížek, J. ; Kouřil, J.
Plasma sprayed alumina coatings find numerous applications in various fields, where they enhance the properties of the base material. Examples include thermal barriers, wear resistance, electrical insulation, and diffusion and corrosion barriers. A typical structure of plasma sprayed coatings, containing a multitude of voids and imperfectly bonded interfaces, gives them unique properties - particularly low thermal conductivity, high strain tolerance, etc. However, for certain applications such as permeation barriers or wear resistance, these voids may be detrimental.\nThis paper reports on the first experiments with remelting of plasma sprayed alumina coatings by electron beam technology, with the purpose of densifying the coatings and thereby eliminating the voids. Throughout the study, several parameters of the e-beam device were varied - beam current, traverse velocity and number of passes. The treated coatings were observed by light and electron microscopy and the thickness, structure and surface morphology of the remelted layer were determined and correlated with the process parameters. Based on the first series of experiments, the e-beam settings leading to dense and smooth remelted layer of sufficient thickness were obtained. In this layer, a change of phase composition and a marked increase in hardness were observed.\n

NUMERICAL SUPPORT FOR SPECIMEN LOADED BY BENDING AND WEDGE SPLITTING FORCES FOR MEASUREMENT OF CONCRETE PROPERTIES
Seitl, Stanislav ; Liedo, R. ; Holušová, T.
Fracture mechanical properties of silicate based materials are performed from various fracture mechanicals tests. For evaluation of parameters, the knowledge about calibration and compliance function is so important. Therefore, in contribution the compliance and calibration curves for a novel test based on combination wedge splitting test (WST) and three-point bend test (3PBT) are introduced. These selected variants exhibit significantly various stress state conditions at the crack tip, or, more generally, in the whole specimen ligament.

Awareness of women about nutrition problems such as breast cancer prevention
STAŇKOVÁ, Denisa
This thesis focuses on the awareness of women of the nutrition issue as the prevention of breast cancer. The aim of this thesis is to find out whether the women have enough information about nutrition and life style as the prevention of breast carcinoma, where they look for information, if they are interested in this issue and whether they consume food that could work as the prevention. Another goal is to detect possible differences in the attitude to the prevention between women without the potential risk and women with the increased risk, i.e. women over 45. Research questions were determined as follows: "What is the knowledge of women about the issues of nutrition as the prevention of breast cancer?", "What is the proportion of the food that has preventive effect on the rise of breast carcinoma and, on the contrary, the food that supports the tumour growth in the eating habits of women?", "Where do women get information on this issue?", "What is the difference in awareness and consumption of food between women without the potential risk and women with the increased risk, i.e. over 45. The thesis is divided into two parts, a theoretical and a practical one. In the theoretical part I focus on the breast anatomy, basic information on breast cancer and risk factors that are divided into influenceble ones and non-influenceble ones. In the most extensive part of my thesis focuses on the influenceble factors, that is nutrition and life style. I focus especially on nutriments, food and other life style factors that are most connected with breast cancer and have antitumour effects or, conversely, support the tumour growth. The practical part was made by means of a questionnaire which I placed on the Internet and handed out in the waiting room at the general practitioner. The questionnaire was anonymous with 34 questions of a closed and semi-enclosed type. Questions concerned nutrition and life style in relation to the risk of breast cancer and were devised to answer previously defined research questions. The questionnaire survey took place in January and February 2013. I acquired 105 filled in questionnaires from which I randomly chose 86 to obtain two numerously equal groups of women without the potential risk and with the increased risk, i.e. over 45. The result of the research part is that women do not have much information on the life style in connection with the breast cancer. Some respondents, while selecting food with preventive effect, were only guessing and often also marked food which was not related to the breast carcinoma at all. About one third of the respondents even believe that nutrition and other factors are not related to this disease at all. One third of the respondents also stated that they had no interest in learning more information on this issue. Women that have some information usually get it from the magazines and from the Internet. In terms of eating habits, the food of most respondents does not reach the needed quantity to have preventive effects. On the other hand, the food and drinks that support tumour growth do not occur on the menu of the respondents very often. While comparing answers of the women younger 45 and the older group of respondents, it was found out that the younger respondents showed greater unawareness of this issue. No significant differences were recorded in other questions. The results of the survey are graphically processed and evaluated in the final part of this thesis. I suppose this thesis is the contribution to clarifying the current situation of this issue. I believe that the topic of my thesis is up-to-date and that I managed to summarize the most significant information regarding this topic and fulfil the aims I set down. I would be very glad if my work led to the contemplation of this issue and subsequently to a more extensive propagation of the breast cancer prevention.

Neural Networks Between Integer and Rational Weights
Šíma, Jiří
The analysis of the computational power of neural networks with the weight parameters between integer and rational numbers is refined. We study an intermediate model of binary-state neural networks with integer weights, corresponding to finite automata, which is extended with an extra analog unit with rational weights, as already two additional analog units allow for Turing universality. We characterize the languages that are accepted by this model in terms of so-called cut languages which are combined in a certain way by usual string operations. We employ this characterization for proving that the languages accepted by neural networks with an analog unit are context-sensitive and we present an explicit example of such non-context-free languages. In addition, we formulate a sufficient condition when these networks accept only regular languages in terms of quasi-periodicity of parameters derived from their weights.
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