L’estimation quantitative des précipitations à l’échelle locale est une nécessité sociétale, à cause de l’augmentation des dégâts provoqués par des inondations exacerbées par l’urbanisation croissante. Or, des estimations locales sont particulièrement difficiles à réaliser à cause de la forte variabilité des précipitations. De plus, ce genre d’estimation est sollicité par de petits organismes tels qu’une commune, pour lesquels il n’est pas envisageable d’utiliser des instruments à la pointe de la recherche technologique à cause de leur coût prohibitif. Ainsi, il est nécessaire de développer des méthodes d’estimation quantitative des précipitations applicables à un dispositif expérimental de prix abordable. Dans ce but, un dispositif expérimental innovant est utilisé dans cette thèse. Il est constitué d’instruments de mesure directe, au sol, tels que des pluviomètres et des disdromètres, et d’un prototype de radar à balayage horizontal basé sur un radar nautique commercial, associé à un MRR (Micro Rain Radar) à visée verticale qui fournissent une estimation en altitude de la pluie, respectivement sur une surface donnée et le long d’un profil vertical. Le radar à balayage horizontal est un radar en bande X, c’est-à-dire qu’il fonctionne à une longueur d’onde lui procurant une très haute résolution radiale, mais qui est très atténuée par les précipitations. Le MRR permet d’obtenir une description précise de la microphysique des précipitations et sert de relais entre les mesures au sol et les mesures en altitude du radar en bande X. Ces deux radars étant novateurs, une grande partie de cette thèse consiste à valider leurs mesures : étalonnage, filtrage d’échos aberrants, correction de l’atténuation, etc. Une fois les mesures rendues exploitables, cette thèse se focalise sur l’étude de la variabilité des précipitations afin de proposer et développer différentes méthodes de classification, selon leur type ou leur variations locales, et de vérifier leur potentiel pour l’amélioration de l’estimation des précipitations. Les résultats montrent que cet objectif ne peut être atteint que si la qualité des mesures des radars est encore améliorée : moins d’échos parasites pour le radar en bande X et prise en compte du vent vertical pour le MRR. / Due to the increase of damage associated with floods enhanced by expanding urbanisation, the quantitative estimation of precipitation on a local scale is a societal need. However, such estimations are difficult because of the high variability of precipitation. Moreover, these estimations are requested by small organisations such as local authorities which cannot afford top level research instruments. Hence, new methods of estimation applicable to a cheap experimental set are needed. Toward this goal, an innovative experimental set is used in this work. It consists of ground instruments such as raingauges and disdrometers, and two radars, a prototype of a scanning radar based on a modified marine radar and a vertically pointing MRR (Micro Rain Radar), which give estimation of rain aloft, over an area and along a profile, respectively. The scanning radar works at X-band, meaning that it uses a longwave very attenuated by precipitation, but which provides a high range resolution. The MRR yields a detailed description of microphysics of precipitation and fills the gap between ground measurements and X-band radar measurements aloft. As both these radars are innovative, a large part of this PhD thesis was spent on the measurements validation : radar calibration, abnormal echoes filtering, attenuation consideration, etc. Using these corrected measurements, this PhD focus then on the study of the variability of precipitation, and aims to propose and develop several classification methods based on precipitation type or local variability, and to check their potential for the improvement of precipitation estimation. Results show that this goal can be reached only if the radar measurements quality is further improved : less interference echoes for the X-band radar, and consideration of vertical wind for the MRR.

The aim of this Master’s thesis is to develop a theoretical introduction to the issue of the image flow time sampling, taking into account the various factors that affect sampling. Furthermore, there is proposed idea diagram of the model, which will simulate the events described, and created the model in the programming environment Matlab. Finally, there are defined the labs that will support teaching dealing with the imaging systems.

Rendering shadows of transparent objects in real-time applications is difficult. The number of usable methods is limited by the available computing power. Depth Peeling and Dual Depth Peeling methods are described in this document. These allow rendering of transparent objects without the need of sorting them. Deep Shadow Maps are described as a method for rendering shadows of transparent objects. These methods were used to create an demonstration application. This application provides rendering of transparent objects and their shadows, including colored ones. The Application is build upon OpenGL and Qt framework. Evaluation of rendering speed according to various parameters is also part of this work.

V interaktivních aplikacích jsou stíny tradičně zobrazovány s pomocí algoritmu založeným na stínových mapách. Nevýhodou toho algoritmu je, že stínová mapa, reprezentovaná texturou, má pouze omezené rozlišení. To může vést k nepěkným vizuálním artefaktům objevujících se na hranách stínů. Tato práce představuje postup, který je založen na vylepšené deformaci textury. To umožní zobrazit scénu obsahující složité světelné zdroje, zredukovat artefakty na hranicích stínů a také vylepšit kvalitu stínů bez ohledu na typu scény a její konfiguraci.

Electrical bioimpedance spectroscopy (EBIS) has been used to assess the status or composition of various types of tissue, and examples of EBIS include body composition analysis (BCA) and tissue characterisation for skin cancer detection. EBIS is a non-invasive method that has the potential to provide a large amount of information for diagnosis or monitoring purposes, such as the monitoring of pulmonary oedema, i.e., fluid accumulation in the lungs. However, in many cases, systems based on EBIS have not become generally accepted in clinical practice. Possible reasons behind the low acceptance of EBIS could involve inaccurate models; artefacts, such as those from movements; measurement errors; and estimation errors. Previous thoracic EBIS measurements aimed at pulmonary oedema have shown some uncertainties in their results, making it difficult to produce trustworthy monitoring methods. The current research hypothesis was that these uncertainties mostly originate from estimation errors. In particular, time-varying behaviours of the thorax, e.g., respiratory and cardiac activity, can cause estimation errors, which make it tricky to detect the slowly varying behaviour of this system, i.e., pulmonary oedema. The aim of this thesis is to investigate potential sources of estimation error in transthoracic impedance spectroscopy (TIS) for pulmonary oedema detection and to propose methods to prevent or compensate for these errors.   This work is mainly focused on two aspects of impedance spectrum estimation: first, the problems associated with the delay between estimations of spectrum samples in the frequency-sweep technique and second, the influence of undersampling (a result of impedance estimation times) when estimating an EBIS spectrum. The delay between frequency sweeps can produce huge errors when analysing EBIS spectra, but its effect decreases with averaging or low-pass filtering, which is a common and simple method for monitoring the time-invariant behaviour of a system. The results show the importance of the undersampling effect as the main estimation error that can cause uncertainty in TIS measurements.  The best time for dealing with this error is during the design process, when the system can be designed to avoid this error or with the possibility to compensate for the error during analysis. A case study of monitoring pulmonary oedema is used to assess the effect of these two estimation errors. However, the results can be generalised to any case for identifying the slowly varying behaviour of physiological systems that also display higher frequency variations.  Finally, some suggestions for designing an EBIS measurement system and analysis methods to avoid or compensate for these estimation errors are discussed. / <p>QC 20140604</p>

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This research considers the problem of cooperatively identifying the active bands in a wideband spectrum using the sparse Fast Fourier Transform (sFFT). Existing research has focused primarily on Compressed Sensing (CS) and Multi-Coset (MC) sampling, but recent developments in the sFFT have shown that a sparsely occupied spectrum can be efficiently reconstructed using multiple co-prime analog-to-digital converters (ADC) that sample below the Nyquist rate. Specifically, this research utilizes the Robust Fast Fourier Aliasing-based Sparse Transform (R-FFAST) and extends this algorithm for use in cooperative wideband spectrum sensing (CWSS). Unlike previous approaches that implement the sFFT for spectrum sensing, the R-FFAST framework was developed and analyzed using the mutual coherence and the restricted isometry property (RIP) from CS theory. This leads to reliable support estimation in the presence of additive white Gaussian noise (AWGN) while mitigating the computational complexity of CS reconstruction algorithms. This research makes the following contributions. First, this research extends the signal model from single tones to multi-band signals with clustered support. Second, it shows that each stage in the R-FFAST front-end can be decomposed into individual nodes that form a fully distributed cooperative network. Lastly, this research empirically develops a constant false alarm rate (CFAR) detector that is used to identify the active frequency bins during the reconstruction process. The primary result of this research is showing that reliable spectrum detection is only possible when the average sampling rate of the cooperative network is greater than or equal to the sparsity of the spectrum. Simulation results are provided to demonstrate the effectiveness of the proposed framework and validate the findings of this research. / Electrical and Computer Engineering

Based on different sampling theorem, for example classic Shannon’s sampling theorem and Papoulis’ generalized sampling theorem, signals are processed by the sampling devices without loss of information. As an interface between radio receiver front-ends and digital signal processing blocks, sampling devices play a dominant role in digital radio communications. Under the concept of Software Defined Radio (SDR), radio systems are going through the second evolution that mixes analog, digital and software technologies in modern radio designs. One design goal of SDR is to put the A/D converter as close as possible to the antenna. BandPass Sampling (BPS) enables one to have an interface between the RF or the higher IF signal and the A/D converter, and it might be a solution to SDR. However, three sources of performance degradation present in BPS systems, harmful signal spectral overlapping, noise aliasing and sampling timing jitter, hinder the conventional BPS theory from practical circuit implementations. In this thesis work, Generalized Quadrature BandPass Sampling (GQBPS) is first invented and comprehensively studied with focus on the noise aliasing problem. GQBPS consists of both BPS and FIR filtering that can use either real or complex coefficients. By well-designed FIR filtering, GQBPS can also perform frequency down-conversion in addition to noise aliasing reduction. GQBPS is a nonuniform sampling method in most cases. With respect to real circuit implementations, uniform sampling is easier to be realized compared to nonuniform sampling. GQBPS has been also extended to Generalized Uniform BandPass Sampling (GUBPS). GUBPS shares the same property of noise aliasing suppression as GQBPS besides that the samples are uniformly spaced. Due to the moving average operation of FIR filtering, the effect of sampling jitter is also reduced to a certain degree in GQBPS and GUBPS. By choosing a suitable sampling rate, harmful signal spectral overlapping can be avoided. Due to the property of quadrature sampling, the “self image” problem caused by I/Q mismatches is eliminated. Comprehensive theoretical analyses and program simulations on GQBPS and GUBPS have been done based on a general mathematic model. Circuit architecture to implementing GUBPS in Switched-Capacitor circuit technique has been proposed and analyzed. To improve the selectivity at the sampling output, FIR filtering is extended by adding a 1st order complex IIR filter in the implementation. GQBPS and GUBPS operate in voltage-mode. Besides voltage sampling, BPS can also be realized by charge sampling in current-mode. Most other research groups in this area are focusing on bandpass charge sampling. However, the theoretical analysis shows that our GQBPS and GUBPS in voltage mode are more efficient to suppress noise aliasing as compared to bandpass charge sampling with embedded filtering. The aliasing bands of sampled-data spectrum are always weighted by continuous-frequency factors for bandpass charge sampling with embedded filtering while discrete-frequency factors for GQBPS and GUBPS. The transmission zeros of intrinsic filtering will eliminate the corresponding whole aliasing bands of both signal and noise in GQBPS and GUBPS, while it will only cause notches at a limited set of frequencies in bandpass charge sampling. In addition, charge sampling performs an intrinsic continuous-time sinc function that always includes lowpass filtering. This is a drawback for a bandpass input signal. / QC 20100921

Η παρούσα Εργασία εκπονήθηκε στον Τομέα Ρευστών της Σχολής Μηχανολόγων Μηχανικών του ΕΘΝΙΚΟΥ ΜΕΤΣΟΒΙΟΥ ΠΟΛΥΤΕΧΝΕΙΟΥ. Η εργασία αποσκοπεί: Α) Στην εξοικείωση των συμμετασχόντων με τον έγχρωμο υπερηχοκαρδιογραφο Vivid 7 της GE. Β) Στον έλεγχο της αξιοπιστίας των μεθόδων έγχρωμου Doppler (Color Doppler), παλμικού Doppler και M-mode στο υπολογισμό της παροχής και την σύγκριση μεταξύ τους. Γ) Στην εύρεση πιθανών αιτιών στις αποκλίσεις των μεθόδων, έτσι ώστε οι κώδικες που αναπτύχθηκαν σε MATLAB για έγχρωμο Doppler και Μ-mode να βελτιωθούν στο μέλλον. Δ) Στην δημιουργία μιας αρχικής βάσης δεδομένων για τις παροχές και τις διαμέτρους που μετρούνται in vivo προεγχειρητικά σε χοίρους, που χρησιμοποιούνται σε ερευνητικό πρόγραμμα ΠΕΝΕΔ. Η Εργασία χωρίζεται σε τρία μέρη. Στο πρώτο μέρος γίνεται μια θεωρητική προσέγγιση του θέματος, με ανάλυση της αρχής Doppler, καθώς και των μεθόδων μέτρησης και απεικόνισης με συστήματα Doppler. Στο δεύτερο μέρος παρουσιάζεται η πειραματική διαδικασία, τόσο η δική μας, όσο και παλαιότερες. Στο τρίτο μέρος παρουσιάζονται κάποια αποτελέσματα και συμπεράσματα των δικών μας πειραμάτων. / The present project was elaborated at National Technical University of Athens, School of Mechanical Engineering, Fluids Section, and it aims at: A)The familiarization of the participants with the Color Vivid7 Dimension, Cardiovascular Ultrasound System of GE B)The control of credibility of the methods of Color Doppler, Pulsed Wave Doppler and M-Mode at the calculation of flow and their comparison C)The finding of possible causes of the deviations of these methods, with the intention of MATLAB Color and M-Mode Doppler codes improvement D)The creation of a database concerning flows and diameters calculated in vivo, prior to the surgery, in pigs used at a Research Program of Athens Academy Medical-Biological Center. This Project is divided in three parts. On first part a theoritical approach of the issue is presented, analyzing the Doppler Principal, as well as the methods used for Doppler Imaging. On the second part the experimental procedures are presented, both ours and of others. On the third part a number of results and conclusions are presented.

This Master's thesis deals with design and a realisation of a device controlling an OLED display, Densitron DD-25664-1A. This display has a resolution of 256 x 64 pixels and allows displaying of 4-bit grayscale. The proposed utility software implements the initialization and termination functions, two sets of fonts { Latin and Greek letters and functions for rendering graphics and text. The result of the project is a device with the controlling software.