As time and technology evolves, the applications of cloud computing increase in our daily life. SaaS enterprise applications also increase in business context. The success of the information systems in the cloud era relies on the proper selection and combination of Web Services. This is especially true for complex business processes, which often require effective and efficient way to reuse existing functions. Following the study in (Li Jianxiang, 2011), which proposes the model of General Service Pattern, we aim to evaluate the General Service Pattern model using real processes in land administration. The evaluation metrics include time and correctness. The study shows that the use of General Service Pattern significantly shorten the time required to construct land administration processes, when compared to the design from scratch and the design by providing similar processes. . The correctness of the yielded processes is also higher than the other two methods. We therefore conclude that General Process Pattern is a promising model.

Mathematica 8 introduces a free-form language input as the new method of calculation. Enter everyday English - no syntax, you can get results. It is a new entry point of the mma workflow, including the world's most advanced statistical computing power and the most advanced image processing. In this paper, we investigate the applications of Mathematica 8.0 in probability and statistics including dynamic module, descriptive statistics and data visualization, probability distribution and hypothesis testing. Moreover, we provide related examples by retrieving the data of built-in system or textbooks.

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To research the interaction between the elements of the traffic safety system “Traffic Participant – Vehicle – Road (Traffic Environment)” and the influencing factors, and to provide recommendations for the improvement of traffic safety in Lithuania. The following main problems were solved in the research: • to research the models applied for the analysis of traffic safety system; • to identify the key factors influencing the traffic safety system reliability; • to perform reaction tests of traffic participants, during which the driver’s reaction time in usual situations and in potentially dangerous or unforeseen situations is identified, i.e. while talking on a mobile phone, distractions, headlight dazzle at night, and other situations; • based on mathematical calculation methods and the tests performed, to identify the factors influencing the driver’s reaction time; • based on traffic accident data on certain main roads and by applying statistical mathematical packages, to identify the factors affecting the number of traffic accidents; • after analyzing the factors affecting the traffic safety system, to formulate substantiated trends for the improvement of traffic safety and to implement that traffic safety improvement means for these trends; • to assess the efficiency of traffic safety improvement means.

A Wald type test with the wrong dispersion matrix is used when the dispersion matrix is not a consistent estimator of the asymptotic covariance matrixof the test statistic. One class of such tests occurs when there are k groups and it is assumed that the population covariance matrices from the k groups are equal, but the common covariance matrix assumption does not hold. The pooled t test, one way AVOVA F test, and one way MANOVA F test are examples of this class. Two bootstrap confidence regions are modified to obtain large sample Wald type tests with the wrong dispersion matrix.

No description available.

This thesis aims to tune the control parameters of a bio-inspired guidance system designed to confer a tactical behavior to unmanned aerial vehicles (UAVs). This bio-inspired guidance system is capable of reducing exposure to threats, while traversing previously uncharted, and potentially hostile territories. UAVs employing this guidance system may exhibit a more or less tactical behavior by tuning 9 user-defined parameters within specified intervals. Although the UAV's behavior can be easily forecasted whenever all parameters are set to exhibit the most cautious behavior or the most reckless behavior, it is difficult to devise a taxonomy of flight behavior whenever these parameters are not set at the boundaries of their admissible intervals. The scope of this thesis is to analyze and forecast the UAV's behavior as a function of these user-defined parameters. To this goal, the Taguchi analysis method is employed to deduce those parameters that affect the UAV's behavior more than others. Successively, 81 software-in-the-loop simulations have been performed to analyze the UAV's behavior as a function of the most influential user-defined parameters. Finally, 10 flight tests were performed to validate the numerical results. / Master of Science / This thesis aims to tune the control parameters of a bio-inspired guidance system designed to confer a tactical behavior to unmanned aerial vehicles (UAVs). This bio-inspired guidance system is capable of reducing exposure to threats, while traversing previously uncharted, and potentially hostile territories. UAVs employing this guidance system may exhibit a more or less tactical behavior by tuning 9 user-defined parameters within specified intervals. Although the UAV's behavior can be easily forecasted whenever all parameters are set to exhibit the most cautious behavior or the most reckless behavior, it is difficult to devise a taxonomy of flight behavior whenever these parameters are not set at the boundaries of their admissible intervals. The scope of this thesis is to analyze and forecast the UAV's behavior as a function of these user-defined parameters. To this goal, the Taguchi analysis method is employed to deduce those parameters that affect the UAV's behavior more than others. Successively, 81 software-in-the-loop simulations have been performed to analyze the UAV's behavior as a function of the most influential user-defined parameters. Finally, 10 flight tests were performed to validate the numerical results.

The following main problems were solved in the research: • The factors negatively influencing the traffic safety system efficient interaction and reliability were identified. • Reliability of reaction calculations of the traffic participants. • Application of ANOVA in the research of the traffic participant’s reactions. • Application of the SAS software package in the research of the traffic accident causes. • Identification of factors influencing the formation of the traffic participant’s behaviour.

This doctoral thesis deals with the kinesiological analysis of the athletic run - sprint. The aim of the thesis is the time characteristics comparison and switching on of the muscles which are working during the sprint before and after the performance of special running exercises. It is becoming much more important to use the special training procedures during training sessions. The special running exercises are performed almost daily during training sessions of sprinters. The question is to what extent their performance is evident on the activation of muscles. The qualitative and quantitative results show the activation of muscles during sprint before and after the performance of the special running exercises. The main tool of the research was the surface EMG analysis of muscles during a 30-metre long sprint. The content of the research were two comparative analysis, where 8 proband participated - interindividual and intraindividual. During the evaluation process we considered the quantitative and qualitative components. On the basic of the reached results we may say that there is no diference between the run before and after the performance of special running exercises. Keywords: Sprint, special running exercises, electromyography, ANOVA

Le marché mondial des semi-conducteurs connait une croissance continue due à l'essor de l'électronique grand public et entraîne dans son sillage le marché des mémoires non volatiles. L'importance de ces produits mémoires est accentuée depuis le début des années 2000 par la mise sur le marché de produits nomades tels que les smartphones ou plus récemment les produits de l’internet des objets. De par leurs performances et leur fiabilité, la technologie Flash constitue, à l'heure actuelle, la référence en matière de mémoire non volatile. Cependant, le coût élevé des équipements en microélectronique rend impossible leur amortissement sur une génération technologique. Ceci incite l’industriel à adapter des équipements d’ancienne génération à des procédés de fabrication plus exigeants. Cette stratégie n’est pas sans conséquence sur la dispersion des caractéristiques physiques (dimension géométrique, épaisseur…) et électriques (courant, tension…) des dispositifs. Dans ce contexte, le sujet de ma thèse est d’optimiser et de réduire la variabilité d’une nouvelle architecture mémoire non volatile ultra basse consommation.Cette étude vise à poursuivre les travaux entamés par STMicroelectronics sur le développement, l’étude et la mise en œuvre de boucles de contrôle de type Run-to-Run (R2R) sur une nouvelle cellule mémoire ultra basse consommation. Afin d’assurer la mise en place d’une régulation pertinente, il est indispensable de pouvoir simuler l’influence des étapes du procédé de fabrication sur le comportement électrique des cellules en s’appuyant sur l’utilisation d’outils statistiques ainsi que sur une caractérisation électrique pointue. / The global semiconductor market is experiencing steady growth due to the development of consumer electronics and the wake of the non-volatile memory market. The importance of these memory products has been accentuated since the beginning of the 2000s by the introduction of nomadic products such as smartphones or, more recently, the Internet of things. Because of their performance and reliability, Flash technology is currently the standard for non-volatile memory. However, the high cost of microelectronic equipment makes it impossible to depreciate them on a technological generation. This encourages industry to adapt equipment from an older generation to more demanding manufacturing processes. This strategy is not without consequence on the spread of the physical characteristics (geometric dimension, thickness ...) and electrical (current, voltage ...) of the devices. In this context, the subject of my thesis is “Optimization and reduction of the variability of a new architecture ultra-low power non-volatile memory”.This study aims to continue the work begun by STMicroelectronics on the improvement, study and implementation of Run-to-Run (R2R) control loops on a new ultra-low power memory cell. In order to ensure the implementation of a relevant regulation, it is essential to be able to simulate the process manufacturing influence on the electrical behavior of the cells, using statistical tools as well as the electric characterization.