Estimativa da evapotranspiração da cultura do Tagetes patula pelo método da razão de Bowen, em ambiente protegido e a campo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Uso das rotações de givens modificadas como um método direto para obtenção e atualização das soluções em sistemas com acumulação seqüencial de dados

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Thermochemical equilibrium modeling of a biomass downdraft gasifier: Constrained and unconstrained non-stoichiometric models

The objective of this work is to develop a non-stoichiometric equilibrium model to study parameter effects in the gasification process of a feedstock in downdraft gasifiers. The non-stoichiometric equilibrium model is also known as the Gibbs free energy minimization method. Four models were developed and tested. First a pure non-stoichiometric equilibrium model called M1 was developed; then the methane content was constrained by correlating experimental data and generating the model M2. A kinetic constraint that determines the apparent gasification rate was considered for model M3 and finally the two aforementioned constraints were implemented together in model M4. Models M2 and M4 showed to be the more accurate among the four developed models with mean RMS (root mean square error) values of 1.25 each.Also the gasification of Brazilian Pinus elliottii in a downdraft gasifier with air as gasification agent was studied. The input parameters considered were: (a) equivalence ratio (0.28-035); (b) moisture content (5-20%); (c) gasification time (30-120 min) and carbon conversion efficiency (80-100%). (C) 2014 Elsevier Ltd. All rights reserved.

Uma investigação do minos e sua aplicação ao problema de fluxo de potência ótimo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Aplicação do conceito de geração distribuída a um sistema fotovoltaico residencial

This work presents a study about distributed generation using photovoltaic systems in the context of smart grids. The characteristics of a Smart Grid and the several aspects this concept involves - distributed generation among them - are discussed. There are also examples of equipment, like smart meters, and of national and international projects. The specificities of distributed generation and the rules and standards necessary in this sort of installation are talked through with focus in the solar energy generation method. Regarding photovoltaic systems, the working principles of the panels are presented, along with its main electrical characteristics and the technologies available. Finally there is a study concerning the sizing of a distributed generation system that involves photovoltaic panels in a residential plant. An analysis of the costs and return of investment period is made about the specific case in consideration.

Transmissão indutiva de energia eletromagnética sem fios, para aplicações em postos de abastecimento de veículos elétricos puros: modelação para o elemento eletromagnético

Pós-graduação em Engenharia Elétrica - FEIS

Estudo da combustão do óleo pirolítico de pneus

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Matrix-vector multiplication and triangular linear solver using GPGPU for symmetric positive definite matrices derived from elliptic equations

The modern GPUs are well suited for intensive computational tasks and massive parallel computation. Sparse matrix multiplication and linear triangular solver are the most important and heavily used kernels in scientific computation, and several challenges in developing a high performance kernel with the two modules is investigated. The main interest it to solve linear systems derived from the elliptic equations with triangular elements. The resulting linear system has a symmetric positive definite matrix. The sparse matrix is stored in the compressed sparse row (CSR) format. It is proposed a CUDA algorithm to execute the matrix vector multiplication using directly the CSR format. A dependence tree algorithm is used to determine which variables the linear triangular solver can determine in parallel. To increase the number of the parallel threads, a coloring graph algorithm is implemented to reorder the mesh numbering in a pre-processing phase. The proposed method is compared with parallel and serial available libraries. The results show that the proposed method improves the computation cost of the matrix vector multiplication. The pre-processing associated with the triangular solver needs to be executed just once in the proposed method. The conjugate gradient method was implemented and showed similar convergence rate for all the compared methods. The proposed method showed significant smaller execution time.

Magnetic Properties of γ - Fe2O3 Nanoparticles at the Verge of Nucleation Process.

A low-energy new method based in a one-step synthesis at room temperature produces very small maghemite nanopar ticles. The fast neutralization reaction (co-precipitation) of a ferric solution (FeCl3 aqueous) in a basic medium (NH4OH concentrated) produces an intermediate phase, presumably two-line ferrihydrite, that in oxidizing conditions is transformed to maghemite nanopar ticles. That “primordial soup” is characterized by small atom arrangements that are the base for maghemite tiny crystals. The final product of the reaction was characterized by X-ray diffraction, high-resolution transmission electron microscopy, X-ray absorption fine structure, Mössbauer spectroscopy, and magnetometry.

Mode coupling for precise measurements of the electronic g-factor of hydrogen-like ions in Penning traps

The g-factor is a constant which connects the magnetic moment $vec{mu}$ of a charged particle, of charge q and mass m, with its angular momentum $vec{J}$. Thus, the magnetic moment can be writen $ vec{mu}_J=g_Jfrac{q}{2m}vec{J}$. The g-factor for a free particle of spin s=1/2 should take the value g=2. But due to quantum electro-dynamical effects it deviates from this value by a small amount, the so called g-factor anomaly $a_e$, which is of the order of $10^{-3}$ for the free electron. This deviation is even bigger if the electron is exposed to high electric fields. Therefore highly charged ions, where electric field strength gets values on the order of $10^{13}-10^{16}$V/cm at the position of the bound electron, are an interesting field of investigations to test QED-calculations. In previous experiments [H"aff00,Ver04] using a single hydrogen-like ion confined in a Penning trap an accuracy of few parts in $10^{-9}$ was obtained. In the present work a new method for precise measurement of magnetic the electronic g-factor of hydrogen-like ions is discussed. Due to the unavoidable magnetic field inhomogeneity in a Penning trap, a very important contribution to the systematic uncertainty in the previous measurements arose from the elevated energy of the ion required for the measurement of its motional frequencies. Then it was necessary to extrapolate the result to vanishing energies. In the new method the energy in the cyclotron degree of freedom is reduced to the minimum attainable energy. This method consist in measuring the reduced cyclotron frequency $nu_{+}$ indirectly by coupling the axial to the reduced cyclotron motion by irradiation of the radio frequency $nu_{coup}=nu_{+}-nu_{ax}+delta$ where $delta$ is, in principle, an unknown detuning that can be obtained from the knowledge of the coupling process. Then the only unknown parameter is the desired value of $nu_+$. As a test, a measurement with, for simplicity, artificially increased axial energy was performed yielding the result $g_{exp}=2.000~047~020~8(24)(44)$. This is in perfect agreement with both the theoretical result $g_{theo}=2.000~047~020~2(6)$ and the previous experimental result $g_{exp1}=2.000~047~025~4(15)(44).$ In the experimental results the second error-bar is due to the uncertainty in the accepted value for the electron's mass. Thus, with the new method a higher accuracy in the g-factor could lead by comparison to the theoretical value to an improved value of the electron's mass. [H"af00] H. H"affner et al., Phys. Rev. Lett. 85 (2000) 5308 [Ver04] J. Verd'u et al., Phys. Rev. Lett. 92 (2004) 093002-1

Kinematic description of the rupture from strong motion data: strategies for a robust inversion

We present a non linear technique to invert strong motion records with the aim of obtaining the final slip and rupture velocity distributions on the fault plane. In this thesis, the ground motion simulation is obtained evaluating the representation integral in the frequency. The Green’s tractions are computed using the discrete wave-number integration technique that provides the full wave-field in a 1D layered propagation medium. The representation integral is computed through a finite elements technique, based on a Delaunay’s triangulation on the fault plane. The rupture velocity is defined on a coarser regular grid and rupture times are computed by integration of the eikonal equation. For the inversion, the slip distribution is parameterized by 2D overlapping Gaussian functions, which can easily relate the spectrum of the possible solutions with the minimum resolvable wavelength, related to source-station distribution and data processing. The inverse problem is solved by a two-step procedure aimed at separating the computation of the rupture velocity from the evaluation of the slip distribution, the latter being a linear problem, when the rupture velocity is fixed. The non-linear step is solved by optimization of an L2 misfit function between synthetic and real seismograms, and solution is searched by the use of the Neighbourhood Algorithm. The conjugate gradient method is used to solve the linear step instead. The developed methodology has been applied to the M7.2, Iwate Nairiku Miyagi, Japan, earthquake. The estimated magnitude seismic moment is 2.6326 dyne∙cm that corresponds to a moment magnitude MW 6.9 while the mean the rupture velocity is 2.0 km/s. A large slip patch extends from the hypocenter to the southern shallow part of the fault plane. A second relatively large slip patch is found in the northern shallow part. Finally, we gave a quantitative estimation of errors associates with the parameters.

Iterative regularization methods for ill-posed problems

This Ph.D thesis focuses on iterative regularization methods for regularizing linear and nonlinear ill-posed problems. Regarding linear problems, three new stopping rules for the Conjugate Gradient method applied to the normal equations are proposed and tested in many numerical simulations, including some tomographic images reconstruction problems. Regarding nonlinear problems, convergence and convergence rate results are provided for a Newton-type method with a modified version of Landweber iteration as an inner iteration in a Banach space setting.

Bioinformatische Identifizierung und Charakterisierung von Zyklin-abhängigen Kinasen und Zyklinen des Parasiten Eimeria tenella und deren Nutzung im rationalen Wirkstoffdesign

Parasiten der Apicomplexa umfassen sowohl humanpathogene, als auch tierpathogene Protozoen. Beispiele für wichtige Vertreter human- und tierpathogener Parasiten sind Plasmodium falciparum und Eimeria tenella. E. tenella verursacht die Kokzidiose des Hühnchens, eine Darmerkrankung die weltweit für Verluste in einer geschätzten Höhe von bis zu 3 Milliarden US$ verantwortlich zeichnet. Eine prophylaktische Vakzinierung gegen diese Krankheit ist ökonomisch meist ineffizient, und eine Behandlung mit Kokzidiostatika wird durch häufige Resistenzbildung gegen bekannte Wirkstoffe erschwert. Diese Situation erfordert die Entwicklung neuer kostengünstiger Alternativen. Geeignete Zielproteine für die Entwicklung neuartiger Arzneistoffe zur Behandlung der Kokzidiose sind die Zyklin-abhängigen Kinasen (CDKs), zu denen auch die CDK-related Kinase 2 (EtCRK2) aus E. tenella gehört. Diese Proteine sind maßgeblich an der Regulation des Zellzyklus beteiligt. Durch chemische Validierung mit dem CDK Inhibitor Flavopiridol konnte nachgewiesen werden, dass ein Funktionsverlust von CDKs in E. tenella die Vermehrung des Parasiten in Zellkultur inhibiert. E. tenella CDKs sind daher als Zielproteine für die Entwicklung einer Chemotherapie der Kokzidiose geeignet. Mittels bioinformatischer Tiefenanalysen sollten CDK Proteine im Parasiten E. tenella identifiziert werden. Das Genom von E. tenella liegt in Rohfassung vor [ftp://ftp.sanger.ac.uk]. Jedoch waren zum Zeitpunkt dieser Arbeiten viele Sequenzen des Genoms noch nicht annotiert. Homologe CDK Proteine von E. tenella konnten durch den Vergleich von Sequenzinformationen mit anderen Organismen der Apicomplexa identifiziert und analysiert werden. Durch diese Analysen konnten neben der bereits bekannten EtCRK2, drei weitere, bislang nicht annotierte CDKs in E. tenella identifiziert werden (EtCRK1, EtCRK3 sowie EtMRK). Darüber hinaus wurde eine Analyse der entsprechenden Zykline – der Aktivatoren der CDKs – bezüglich Funktion und Struktur, sowie eine Datenbanksuche nach bisher nicht beschriebenen Zyklinen in E. tenella durchgeführt. Diese Suchen ergaben vier neue potentielle Zykline für E. tenella, wovon EtCYC3a als Aktivator der EtCRK2 von María L. Suárez Fernández (Intervet Innovation GmbH, Schwabenheim) bestätigt werden konnte. Sequenzvergleiche lassen vermuten, dass auch EtCYC1 und EtCYC3b in der Lage sind, EtCRK2 zu aktivieren. Außerdem ist anzunehmen, dass EtCYC4 als Aktivator der EtCRK1 fungiert. Ein weiterer Schwerpunkt der vorliegenden Arbeit war die Suche und Optimierung nach neuen Inhibitoren von CDKs aus E. tenella. In vorangegangenen Arbeiten konnten bereits Inhibitoren der EtCRK2 gefunden werden [BEYER, 2007]. Mittels Substruktur- und Ähnlichkeitssuchen konnten im Rahmen dieser Arbeit weitere Inhibitoren der EtCRK2 identifiziert werden. Vier dieser Strukturklassen erfüllen die Kriterien einer Leitstruktur. Eine dieser Leitstrukturen gehört zur Strukturklasse der Benzimidazol-Carbonitrile und ist bislang nicht als Inhibitor anderer Kinasen beschrieben. Diese neu identifizierte Leitstruktur konnte in silico weiter optimiert werden. Im Rahmen dieser Arbeit wurden Bindungsenergien von Vertretern dieser Strukturklasse berechnet, um einen wahrscheinlichen Bindemodus vorherzusagen. Für die weiterführende in silico Optimierung wurde eine virtuelle kombinatorische Substanzbibliothek dieser Klasse erstellt. Die Auswahl geeigneter Verbindungen für eine chemische Synthese erfolgte durch molekulares Docking unter Nutzung von Homologiemodellen der EtCRK2. Darüber hinaus wurde ein in silico Screening nach potentiellen Inhibitoren der PfMRK und EtMRK durchgeführt. Dabei konnten weitere interessante virtuelle Hit-Strukturen aus einer Substanzdatenbank kommerziell erhältlicher Verbindungen gefunden werden. Durch dieses virtuelle Screening konnten jeweils sieben Verbindungen als virtuelle Hits der PfMRK sowie der EtMRK identifiziert werden. Die Häufung von Strukturklassen mit bekannter CDK Aktivität deutet darauf hin, dass während des virtuellen Screenings eine Anreicherung von CDK Inhibitoren stattgefunden hat. Diese Ergebnisse lassen auf eine Weiterentwicklung neuer Wirkstoffe gegen Kokzidiose und Malaria hoffen.

Regularization methods for the solution of a nonlinear least-squares problem in tomography

In this work we study a polyenergetic and multimaterial model for the breast image reconstruction in Digital Tomosynthesis, taking into consideration the variety of the materials forming the object and the polyenergetic nature of the X-rays beam. The modelling of the problem leads to the resolution of a high-dimensional nonlinear least-squares problem that, due to its nature of inverse ill-posed problem, needs some kind of regularization. We test two main classes of methods: the Levenberg-Marquardt method (together with the Conjugate Gradient method for the computation of the descent direction) and two limited-memory BFGS-like methods (L-BFGS). We perform some experiments for different values of the regularization parameter (constant or varying at each iteration), tolerances and stop conditions. Finally, we analyse the performance of the several methods comparing relative errors, iterations number, times and the qualities of the reconstructed images.

Application and assessment of a robust elastic motion correction algorithm to dynamic MRI

The purpose of this study was to assess the performance of a new motion correction algorithm. Twenty-five dynamic MR mammography (MRM) data sets and 25 contrast-enhanced three-dimensional peripheral MR angiographic (MRA) data sets which were affected by patient motion of varying severeness were selected retrospectively from routine examinations. Anonymized data were registered by a new experimental elastic motion correction algorithm. The algorithm works by computing a similarity measure for the two volumes that takes into account expected signal changes due to the presence of a contrast agent while penalizing other signal changes caused by patient motion. A conjugate gradient method is used to find the best possible set of motion parameters that maximizes the similarity measures across the entire volume. Images before and after correction were visually evaluated and scored by experienced radiologists with respect to reduction of motion, improvement of image quality, disappearance of existing lesions or creation of artifactual lesions. It was found that the correction improves image quality (76% for MRM and 96% for MRA) and diagnosability (60% for MRM and 96% for MRA).