Sleep medicine becomes more increasing attention in recent years, especially for the SAS. The primary health implications of SAS are its impact on the cardiovascular system . Generally speaking, it is necessary to stay in the sleep examination room overnight or several nights and need plenty of clinical data to diagnose, which is high-priced and time consuming. This study is based on ECG and EEG signals, moreover the features are obtained from them to observe the interaction, therefore we can estimate correlation coefficient within ECG, EEG., and RDI. Furthermore we also show that higher correlation is found by adjusting the most appropriate bands than ordinary ones[AASM,1996]. Moreover, experimental data are broken into male and female groups and the female patients exhibit lower correlation than male ones.

Sleep medicine, especially for the SAS, has received increasing attention in recent years. One of the primary health implications of SAS is its impact on the cardiovascular system. Due to the fact that 90¢H of the SAS are OSA, the diagnose and treatment for OSA have simulated great interest. It has been shown that HRV (Heart Rate Variability) interacts with the autonomic nervous system, which in turn, correlated with OSA. Consequently, many signal processing methods have been applied to analyze HRV with the hope that features that correlate HRV and OSA can be found. For the reason, the goal of this work is to develop signal processing methods to explore the interaction between HRV and OSA. In performing such tasks, conventional approaches converts HRV signal to analog from by using interpolation. This work will maintain the original digital form of the HRV. Our results will be compared with the results obtained by the conventional analog method. Finally, the HRV band that has the strongest correlation with the OSA will be reported.

Darbe pateikti švietimo duomenų statistinės analizės modeliai ir programinė įranga, kurie palengvina sprendimų priėmimą bei jų pagrindimą sprendžiant švietimo valdymo organizavimo uždavinius. Modeliai ir programinė įranga realizuoti naudojant taikomosios statistikos metodus, objektinio programavimo technologiją ir SAS sistemą. / The statistical analysis models and software of education data for support the decisionmaking is presented in this paper. The models and software were developed using applied statistics methods, object programming technology and software SAS.

This Thesis is focused on the ways of getting information from the World Wide Web source . The Introduction pays attention to the theoretical approach towards data collection options . The main part of the Introduction is engaged in the Web Crawler program as the possibility of data collection from internet and consequently they are followed by alternative methods of data collection. E.g. Google Search API. The next part of the Thesis is dedicated to SAS products and their meanings in the context of reporting and internet monitoring. SAS Intelligence platform is presented as the crucial Company platform In the framework of the platform there could be found concrete SAS solutions. SAS Web Crawler and Semantic Server are described in SAS Content Categorization solution. Whilst the first two parts of Thesis are focused on the theory , the third and closing part pays attention to practical examples. There are illustrated examples of Internet Data collection, which are mainly realized in SAS. The practical part of Thesis follows the theoretical one and it cannot be detached.

O delineamento em blocos completos aumentados geralmente é utilizado quando o experimento apresenta um número relativamente grande de tratamentos a serem avaliados. Neste caso, consideram-se dois grupos: tratamentos comuns e tratamentos regulares. O uso da análise de variância convencional, neste caso gera problemas no momento de serem testadas as hipóteses de interesse, em geral efetuadas pela estatística e principalmente quando se consideram grupos de experimentos em blocos aumentados. O presente trabalho conduzido no DME da ESALQ/USP teve como objetivo desenvolver um procedimento para as análises individuais e a conjunta segundo o delineamento proposto através da aplicação da metodologia utilizada pelo SAS. Através de dados hipotéticos foram consideradas as funções estimáveis e as hipóteses a serem testadas pelas quatro somas de quadrados fornecidas pelo SAS. Calcularam-se, também as esperanças dos quadrados médios, a fim de compor o denominador para a estatística e concluiu-se que: a soma de quadrado tipo I mostrou não ser a mais indicada para o delineamento em estudo tanto na análise individual como na conjunta. A soma de quadrados tipos III parece ser a mais adequada desde que a estatística "F" seja obtida através da opção TEST do comando RANDOM na proc GLM do SAS / not available

O delineamento em blocos completos aumentados geralmente é utilizado quando o experimento apresenta um número relativamente grande de tratamentos a serem avaliados. Neste caso, consideram-se dois grupos: tratamentos comuns e tratamentos regulares. O uso da análise de variância convencional, neste caso gera problemas no momento de serem testadas as hipóteses de interesse, em geral efetuadas pela estatística e principalmente quando se consideram grupos de experimentos em blocos aumentados. O presente trabalho conduzido no DME da ESALQ/USP teve como objetivo desenvolver um procedimento para as análises individuais e a conjunta segundo o delineamento proposto através da aplicação da metodologia utilizada pelo SAS. Através de dados hipotéticos foram consideradas as funções estimáveis e as hipóteses a serem testadas pelas quatro somas de quadrados fornecidas pelo SAS. Calcularam-se, também as esperanças dos quadrados médios, a fim de compor o denominador para a estatística e concluiu-se que: a soma de quadrado tipo I mostrou não ser a mais indicada para o delineamento em estudo tanto na análise individual como na conjunta. A soma de quadrados tipos III parece ser a mais adequada desde que a estatística “F” seja obtida através da opção TEST do comando RANDOM na proc GLM do SAS / not available

Fluid dynamics simulations generally require large computational recourses in form of computer power and time. There are different methods for simulating fluid flows that are more or less demanding, but also more or less accurate. Two well known computational methods are the Reynolds Averaged Navier-Stokes (RANS) and Large Eddy Simulation (LES). RANS computes the timeaveraged flow properties, while LES resolve the large structures (eddies) of the flow directly and model the small ones. Hybrid models are combinations of these two models which have been developed to improve the RANS solutions and shorten the simulation time compared to LES computations. One such model is the Scale Adaptive Simulation (SAS) model which uses the RANS model in steady flow regions, such as close to walls, and a LES like model in unsteady regions with large fluctuations. This study was done for evaluating the SAS model compared to Unsteady RANS (URANS) and LES and their performance compared to measurements from an engineering point of view. This was done by running simulations on two different test cases, one external and one internal flow situation. The first one was flow around a wall-mounted cylinder and the second one was flow through an aorta with a coarctation in the descending aorta. The first test case was used to thoroughly evaluate the SAS model by running many simulations with URANS, SAS and LES with different element types, element sizes and flow parameters. The element types that have been analyzed are; tetrahedral, hexahedral and polyhedral. The results were compared with experiments done by Sumner et al. [7, 8, 9, 10]. The second test case was used for evaluating the SAS model even further on another flow situation. For this test case, only two SAS simulations were performed on two different grids; a structured hexahedral and an unstructured polyhedral. These results were compared with Magnetic Resonance Imaging (MRI) measurements obtained from Linköping University. No conclusion of which one of the simulated cases gives the best overall agreement with experimental results could be concluded from the obtained results. The best prediction of the drag coefficient for the cylinder was obtained for the coarsest polyhedral mesh that was run with LES, with the disagreement 0.4 percent. The best prediction of the Strouhal number was obtained for a URANS simulation performed on the coarsest mesh with an improved grid close to the cylinder surface, generating less than one, with a disagreement of 3 percent compared to measurements. For the meshes used, it was found that the polyhedral mesh gave the best overall results and the tetrahedral mesh gave the worst results for the cylinder case. For the aorta case the SAS model produced velocity components that had acceptable agreement with the MRI-measurements, but gave very poor results for the turbulent kinetic energy. The main conclusion of this thesis was that the SAS model performed better than URANS, but took longer time to compute simulations than LES, which was the model that generated the best overall results.

The following is a thesis for a Master's degree in Electrical Engineering. It presents the design of an FPGA coprocessor for real-time bathymetric synthetic aperture sonar. Bathymetry is the process of finding the height of the seafloor; a problem that requires the computation of a large number of short-length correlations and runs slowly on a conventional microprocessor architecture. It is desirable to generate the seafloor bathymetry in real time for use as a visual aid during data gathering, thus the development of a customised coprocessor is required. The design presented utilises the system-on-chip (SoC) approach to FPGA programming, with a microprocessor, memory, communication cores and custom hardware all contained within a single chip. The merits of SoC design are examined and the details of this implementation are presented. The coprocessor communicates with a host computer over a USB link, receiving raw data as it is collected and sending processed data back to be displayed on-screen. The system was successful as a proof-of-concept, capable of processing an eighth of the area imaged by the sonar in real-time. The results for a simulated scene are presented and the performance of the current system examined with a view to improving its capabilities. While further work is required to implement a complete solution to the problem, the work carried out thus far has provided a solid base for future research.

Thesis--Berlin. Freie Universität. / In Periodical Room.

This thesis examines various alternatives of XML technology utilization in the SAS system, particularly in its BI reporting area. It describes methods for importing and processing data stored in XML format. Especially, it is focused on exporting data in the form of XML documents. In the first part, selected XML-based technologies and specifications are described briefly. Next, there is general description of the SAS system and its BI solution. Following, the essential part of the thesis provides detailed analysis of XML processing alternatives and comparison of their suitability for use in different situations according to current requirements. The thesis also considers possible extension of SAS reporting via third-party tools, which can be achieved using XML. In the final chapters, new reporting-related procedures are proposed in order to extend basic SAS facilities, namely for use with MS Office tools. These procedures are then applied on real-world data proving their practical usability.