La théorie covariance de la fonctionnelle de la densité (CDF), basée sur un petit nombre de paramètres ajustables, a été utilisée avec succès pour décrire l’état fondamental et les états excités des noyaux de la carte nucléaire, pour A>12. Cette approche permet de décrire les systèmes nucléaires finis avec un Lagrangien hadronique universel résolu dans le cadre de l'approche Relativiste-Hartree-Fock-Bologuibov (RHFB). Ce modèle est également utilisé pour l'étude des étoiles compactes, car il peut être étendu à des densités élevées où la relativité restreinte ne peut pas être ignoré. Ce modèle peut également être étendu pour inclure la contribution des hypérons et ainsi que d'autres particules exotiques. Dans ce travail, la description et des prédictions basées sur l'approche RHFB pour les noyaux dans des conditions extrêmes de la masse, d'isospin et de température sont présentés.Dans la première partie de cette thèse, nous explorons l'apparition de nouvelles fermetures de couches sphériques pour des noyaux super-lourds, où les fermetures de couches sont caractérisées en termes de gap à deux nucléons. Les résultats dépendent légèrement des Lagrangians effectifs utilisés, mais les nombres magiques au-delà de ^{208} Pb sont prédit pour un nombre de protons Z=120 et 138, et pour un nombre de neutrons N=172, 184, 228, et 258. Les effets de couche sont sensibles à différents termes de champ de moyen, tels que le couplage spin-orbite, la masse scalaire et la masses effective, ainsi que l'interaction de tensorielle de Lorentz. Ces termes ont des poids différents dans les Lagrangians effectifs employées, expliquant les variations, somme toute petites, dans leurs prédictions. Employant le modèle RHFB le plus avancé, nous avons trouvé que le nucléide ^{304} 120 est favorisée comme étant le prochain noyau sphérique doublement magique au-delà de ^{208} Pb.Dans la deuxième partie de cette thèse, nous étudions l'apparition de nouveaux nombres magiques pour les noyaux de masse intermédiaire riches en neutrons, et nous analysons le rôle des interactions pseudo-vecteur et de tensorielle de Lorentz. Basé sur la transformation de Foldy-Wouthuysen, nous discutons en détail le rôle joué par les différents termes des interactions pseudo-vecteur et de tensorielle de Lorentz. Dans l'apparition des nouveaux nombres magiques N=16 , 32 et 34. Les noyaux ^{24} O ^{48} Si et ^{52,54} Ca sont prédits avec un grand gap au niveau de Fermi et un gap d'appariement zéro (^{24} O,^{54}Ca ) ou quasi-nul (^{48} Si,^{54} Ca), les rendant candidats pour de nouveaux nombres magiques des noyaux riches en neutrons. Nous constatons que les interactions de Lorentz pseudo-vecteur et tensorielle induisent des évolutions très spécifiques des énergies à une particule, ce qui pourrait signer la présence et la nécessité d'approches relativistes avec des interactions d'échanges de mésons.Dans la dernière partie de cette thèse, nous étudions les transitions de phase et excitations thermiques des deux noyaux stables et faiblement liés. Les prédictions de divers Lagrangiens relativistes et des différentes interactions d'appariement sont discutées. La température critique de la transition d'appariement dépend linéairement du gap d'appariement à température nulle, et cette dépendance est similaire pour une interaction de portée nulle ou bien finie. Les calculs présentés montrent des caractéristiques intéressantes des corrélations d'appariement à température finie, comme la persistance d'appariement et les phénomènes de re-entrance superfluide. En outre, nous analysons la réponse thermique de certains noyaux.En conclusion, le travail présenté dans cette thèse montre des résultats très intéressants et nouveaux pour trois des questions les plus importantes en physique nucléaire: la quête d'un nouvel îlot de stabilité dans la région des super-lourds, l'apparition de nouveaux nombres magiques dans les noyaux exotiques, et la réponse d'un système finis aux excitations thermiques. / The covariant density functional (CDF) theory with a few number of parameters has been successfully employed to describe ground-state and excited-states of nuclei over the entire nuclear landscape for A > 12. It describes finite nuclear systems with a universal hadronic Lagrangian, which is solved considering the relativistic-Hartree-Fock-Bologuibov approach (RHFB). This model is also employed for the study of compact stars, since it can be extended to high densities where special relativity cannot be ignore. This model can also be extended to include the contribution of hyperons and as well as other exotic particles. In this work, the description and some predictions based on RHFB approach for nuclei under extreme conditions of mass, isospin and temperature are presented.In the first part, we explore the occurrence of spherical shell closures for superheavy nuclei, where shell closures are characterized in terms of two-nucleon gaps. The results depend slightly on the effective Lagrangians used, but the magic numbers beyond ^{208}Pb are generally predicted to be Z = 120 and 138 for protons, and N = 172, 184, 228, and 258 for neutrons. Shell effects are sensitive to various terms of the mean-field, such as the spin-orbit coupling, the scalar and the effective masses, as well as the Lorentz-tensor interaction. These terms have different weights in the effective Lagrangians employed, explaining the (relatively small) variations in the predictions. Employing the most advanced RHFB model, we founded that the nuclide ^{304}120 is favored as being the next spherical doubly-magic nucleus beyond ^{208}Pb.In the second part, we investigate the formation of new shell gaps in intermediate mass neutron-rich nuclei, and analyze the role of the Lorentz pseudo-vector and tensor interactions. Based on the Foldy-Wouthuysen transformation, we discuss in detail the role played by the different terms of the Lorentz pseudo-vector and tensor interactions in the appearance of the N=16, 32 and 34 shell gaps. The nuclei ^{24}O, ^{48}Si and ^{52,54}Ca are predicted with a large shell gap and zero (^{24}O, ^{52}Ca) or almost zero (^{48}Si, ^{54}Ca) pairing gap, making them candidates for new magic numbers in neutron rich nuclei. We find that the Lorentz pseudo-vector and tensor interactions induce very specific evolutions of single-particle energies, which could clearly sign their presence and reveal the need for relativistic approaches with exchange interactions.In the last part, we study the phase transitions and thermal excitations of both stable and weakly-bound nuclei. The predictions of various relativistic Lagrangians and different pairing interactions are discussed. The critical temperature of the pairing transition is found to depend linearly on the zero-temperature pairing gap, and this dependence is similar for a zero-range or a finite-range pairing interaction. The present calculations show interesting features of the pairing correlations at finite temperature, such as the pairing persistence and pairing re-entrance phenomena. Also, we analyze the thermal response of some nuclei.In conclusion, the work presented in this thesis shown interesting and new results for three of the most important questions in nuclear physics: the quest for a new island of stability in the superheavy region, the appearance of new magic numbers in exotic nuclei, and the response of finite-systems to thermal excitations.

This thesis deals with image colorization and image super-resolution using neural networks. It briefly explains neural networks principles and summarizes current approaches in this domain. It also describes the design, implementation and training of various neural network architectures. The best implemented architecture can colorize images, in particular, works well with outdoor areas. The architecture for image super-resolution with residual blocks that was trained with a perceptual loss function performs a double increase in image resolution (4x more pixels in total). Part of this thesis is also an implementation of a web application that uses trained models for image modification.

This diploma thesis deals with image super-resolution with conservation of good quality. Firstly, there are described state of the art methods dealing with this problem, as well as principles of neural networks with focus on convolutional ones. Finally, there is described a few models of convolutional neural network for image super-resolution to double size, which have been trained, tested and compared on newly created database with pictures of people.

Cette thèse présente une étude expérimentale des propriétés électroniques de deux matériaux topologiques, notamment l’isolant topologique tridimensionnel irradié Bi₂Te₃ et le super-réseau topologique naturel Sb₂Te. Les deux systèmes ont été étudiés par des techniques basées sur la spectroscopie de photoémission. Les composés Bi₂Te₃ ont été irradiés par des faisceaux d’électrons de haute énergie. L’irradiation avec des faisceaux d’électrons est une approche très prometteuse pour réaliser des matériaux qui sont vraiment isolants dans le volume, afin de mettre en évidence le transport quantique dans les états de surface protégés. En étudiant une série d’échantillons de Bi₂Te₃ par la technique de spectroscopie de photoémission résolue en temps et en angle (trARPES), nous montrons que les propriétés topologiques des états de surface de Dirac sont conservées après irradiation électronique, mais leurs dynamiques ultra-rapides de relaxation sont très sensibles aux modifications reliées aux propriétés du volume. De plus, nous avons étudié la structure électronique des bandes occupées et inoccupées du Sb₂Te. En utilisant la microscopie de photoémission d’électrons à balayage (SPEM), nous avons constamment trouvé diverses régions non équivalentes sur la même surface après avoir clivé plusieurs monocristaux de Sb₂Te. Nous avons pu identifier trois terminaisons distinctes caractérisées par différents rapports stœchiométriques de surface Sb/Te et possédant des différences claires dans leurs structures de bandes. Pour la terminaison dominante riche en tellure, nous avons également fourni une observation directe des états électroniques excités et de leurs dynamiques de relaxation en ayant recours à la technique trARPES. Nos résultats indiquent clairement que la structure électronique de surface est fortement affectée par les propriétés du volume du super-réseau. Par conséquent, pour les deux systèmes, nous montrons que la structure électronique de surface est absolument connectée aux propriétés du volume. / This thesis presents an experimental study of the electronic properties of two topological materials, namely, the irradiated three-dimensional topological insulator Bi₂Te₃ and the natural topological superlattice phase Sb₂Te. Both systems were investigated by techniques based on photoemission spectroscopy. The Bi₂Te₃ compounds have been irradiated by high-energy electron beams. Irradiation with electron beams is a very promising approach to realize materials that are really insulating in the bulk, in order to emphasize the quantum transport in the protected surface states. By studying a series of samples of Bi₂Te₃ using time- and angle-resolved photoemission spectroscopy (trARPES) we show that, while the topological properties of the Dirac surface states are preserved after electron irradiation, their ultrafast relaxation dynamics are very sensitive to the related modifications of the bulk properties. Furthermore, we have studied the occupied and unoccupied electronic band structure of Sb₂Te. Using scanning photoemission microscopy (SPEM), we have consistently found various nonequivalent regions on the same surface after cleaving several Sb₂Te single crystals. We were able to identify three distinct terminations characterized by different Sb/Te surface stoichiometric ratios and with clear differences in their band structure. For the dominating Te-rich termination, we also provided a direct observation of the excited electronic states and of their relaxation dynamics by means of trARPES. Our results clearly indicate that the surface electronic structure is strongly affected by the bulk properties of the superlattice. Therefore, for both systems, we show that the surface electronic structure is absolutely connected to the bulk properties.

Computer vision is a key component of any autonomous system. Real world computer vision applications rely on a proper and accurate detection and classification of objects. A detection algorithm that doesn’t guarantee reasonable detection accuracy is not applicable in real time scenarios where safety is the main objective. Factors that impact detection accuracy are illumination conditions and image resolution. Both contribute to degradation of objects and lead to low classifications and detection accuracy. Recent development of Convolutional Neural Networks (CNNs) based algorithms offers possibilities for low-light (LL) image enhancement and super resolution (SR) image generation which makes it possible to combine such models in order to improve image quality and increase detection accuracy. This thesis evaluates different CNNs models for SR generation and LL enhancement by comparing generated images against ground truth images. To quantify the impact of the respective model on detection accuracy, a detection procedure was evaluated on generated images. Experimental results evaluated on images selected from NoghtOwls and Caltech Pedestrian datasets proved that super resolution image generation and low-light image enhancement improve detection accuracy by a substantial margin. Additionally, it has been proven that a cascade of SR generation and LL enhancement further boosts detection accuracy. However, the main drawback of such cascades is related to an increased computational time which limits possibilities for a range of real time applications. / Datorseende är en nyckelkomponent i alla autonoma system. Applikationer för datorseende i realtid är beroende av en korrekt detektering och klassificering av objekt. En detekteringsalgoritm som inte kan garantera rimlig noggrannhet är inte tillämpningsbar i realtidsscenarier, där huvudmålet är säkerhet. Faktorer som påverkar detekteringsnoggrannheten är belysningförhållanden och bildupplösning. Dessa bidrar till degradering av objekt och leder till låg klassificerings- och detekteringsnoggrannhet. Senaste utvecklingar av Convolutional Neural Networks (CNNs) -baserade algoritmer erbjuder möjligheter för förbättring av bilder med dålig belysning och bildgenerering med superupplösning vilket gör det möjligt att kombinera sådana modeller för att förbättra bildkvaliteten och öka detekteringsnoggrannheten. I denna uppsats utvärderas olika CNN-modeller för superupplösning och förbättring av bilder med dålig belysning genom att jämföra genererade bilder med det faktiska data. För att kvantifiera inverkan av respektive modell på detektionsnoggrannhet utvärderades en detekteringsprocedur på genererade bilder. Experimentella resultat utvärderades på bilder utvalda från NoghtOwls och Caltech datauppsättningar för fotgängare och visade att bildgenerering med superupplösning och bildförbättring i svagt ljus förbättrar noggrannheten med en betydande marginal. Dessutom har det bevisats att en kaskad av superupplösning-generering och förbättring av bilder med dålig belysning ytterligare ökar noggrannheten. Den största nackdelen med sådana kaskader är relaterad till en ökad beräkningstid som begränsar möjligheterna för en rad realtidsapplikationer.

<div>The research includes machine Learning and Deep Learning Approaches to Print Defect Detection, Face Set Recognition and Face Alignment, and Visual-Enhancement in Space and Time. This thesis consists of six parts which are related to 6 projects:</div><div><br></div><div>In Chapter 1, the first project focuses on detection of local printing defects including gray spots and solid spots. We propose a coarse-to-fine method to detect local defects in a block-wise manner and aggregate the blockwise attributes to generate the feature vector of the whole test page for a further ranking task. In the detection part, we first select candidate regions by thresholding a single feature. Then more detailed features of candidate blocks are calculated and sent to a decision tree that is previously trained on our training dataset. The final result is given by the decision tree model to control the false alarm rate while maintaining the required miss rate.</div><div><br></div><div>Chapter 2 introduces face set recognition and Chapter 3 is about face alignment. In order to reduce the computational complexity of comparing face sets, we propose a deep neural network that can compute and aggregate the face feature vectors with different weights. As for face alignment, our goal is to solve the jittering of landmark locations when applied on video. We propose metrics and corresponding methods around this goal.</div><div><br></div><div>In recent years, mobile photography has become increasingly prevalent in our lives with social media due to its high portability and convenience. However, many challenges still exist in distributing high-quality mobile images and videos under the limit of data capacity, hardware storage, and network bandwidth. Therefore, we have been exploring enhancement techniques to improve the image and video qualities, considering both effectiveness and efficiency for a wide variety of applications, including WhatsApp, Portal, TikTok, even the printing industry. Chapter 4 introduces single image super-resolution to handle real-world images with various degradations, and its influence on several downstream high-level computer vision tasks. Next, Chapter 5 studies on headshot image restoration with multiple references, which is an application of visual enhancement under more specific scenarios. Finally, as a step towards the temporal domain enhancement, the Zooming SlowMo framework for fast and accurate space-time video super-resolution will be introduced in Chapter 6.</div>

A K-band integrated super-regenerative amplifier (SRA) in a 130nm SiGe BiCMOS technology is designed and characterized. The circuit is based on a novel stacked transistor differential cross-coupled oscillator topology, with a controllable tail current for quenching the oscillations. The fabricated integrated circuit (IC) occupies an area of 0.63mm2, and operates at the free-running center frequency of 25.3 GHz. Characterization results show circuit operation from a minimum input power level required for a phase coherent output as −110 dBm, and the input power level corresponding to the linear to logarithmic mode transition of −85 dBm, the lowest reported for K-band integrated logarithmic mode SRAs to date to the knowledge of the authors. The measured output power is 7.8dBm into a 100 differential load. The power consumption of the circuit is 110mW with no quench signal applied, and 38mW with 30 % duty cycle quenching. The quench waveform designed for the reported measurement result is also discussed.

10 SUMMARY Proteins represent one of the basic building blocks of all organisms. To understand their function at the molecular level is one the critical goals of current biological, biochemical and biophysical research. It is important to characterise all aspects that affect the localisation of proteins into different compartments with specific functions, the dynamic structure of proteins and their role in multiprotein assemblies, because altering these properties can lead to various diseases. Most of the proteomic studies are nowadays performed using biochemical approaches that allow us to study multicellular organism or tissue at once. The disadvantage of these methods is complex preparation of sample and the need for a large number of cells, which leads to the loss of information at the molecular level and in individual cells. On the contrary, microscopy can provide rather detailed information about proteins of interest and at the level of a single cell. A variety of fluorescence microscopy methods in combination with recombinant DNA techniques were applied to elucidate subcellular localisation of transmembrane adaptor proteins (TRAPs) in human lymphocytes and their nanoscopic organisation at the plasma membrane. Linker of activation of T lymphocytes (LAT), phosphoprotein associated with...

Es werden Möglichkeiten untersucht, das Kaltstart- und Warmlaufverhalten von Ottomotoren mit Sekundärlufteinblasung zu optimieren. Das für die Untersuchungen eingesetzte, innovative Sekundärlufteinblasesystem mittels Sekundärluftlader weist aufgrund der Baugröße, des Gewichts, der Leistungsfähigkeit und insbesondere der einfachen, thermodynamischen Betätigung Potenziale auf, die bisher eingesetzte Sekundärluftpumpe zu ersetzen. Den experimentellen Untersuchungen wurde die Entwicklung der Abgasgesetzgebung sowie eine theoretische Betrachtung der Entstehungsmechanismen von Abgasemissionen vorangestellt. Mittels eines Simulationsmodells werden die Abhängigkeiten des Sekundärluftladers von den motorischen Randbedingungen abgebildet. Somit kann eine Vorauswahl für das Luftmassenförderverhalten des Sekundärluftladers bei unterschiedlichen Einsatzbereichen getroffen werden. Die im Start- und Warmlauf, ebenso im Lastwechsel, gemessenen Ergebnisse wurden zur Analyse der Emissionsverbesserungsmechanismen eingesetzt. Insbesondere der Einblasezeitpunkt der Sekundärluft und das Hochlaufverhalten des Sekundärluftsystems zeigen einen enormen Einfluss auf die Höhe der Rohemissionen. Eine Gegenüberstellung aller gemessenen Varianten mit Sekundärluftpumpe und Sekundärluftlader zeigt einen deutlichen Emissionsvorteil des Sekundärluftladersystems. Zusätzlich bewirkt der Sekundärluftlader, durch die Bordnetzentlastung eine Motorlastabsenkung bei verbessertem Ansprechverhalten und höherem Sekundärluftmassenstrom. Ergebnis ist eine Verringerung der HC-Rohemissionen zwischen 20% und 30%. Die Vorteile im Gewicht und Bauvolumen sowie der geringere Verkabelungsaufwand runden die deutlichen Vorteile des Sekundärluftladers gegenüber der Sekundärluftpumpe ab. Durchgeführte Untersuchungen bei Tieftemperatur (-7°C) und unter Höhenbedingungen haben ebenfalls Vorteile gegenüber der Sekundärluftpumpe ausgewiesen. Die theoretische Abschätzung des Einsatzfeldes für den Sekundärluftlader ist ab einem Hubraum von 1,2°l Hubraum durchgeführt und als positiv bewertet worden. / The paper investigates possible ways of optimizing the cold-start and warm-up performance of gasoline engines with secondary air injection. Due to its size, weight, performance capability, and especially its simple, thermodynamic operation the innovative secondary air injection system used for the investigations and featuring a secondary air charger has the potential to replace the secondary air pump used to date. The experimental investigations are preceded by the development of exhaust emission legislation and a theoretical analysis of the process leading to exhaust emissions. A simulation model is used to illustrate the dependencies of the secondary air charger on boundary engine conditions. Consequently it is possible to make a preselection for the air mass conducting properties of the secondary air charger in various fields of application. The results obtained by measurement in starting, warm-up, and in load changes, were used to analyze the emission improvement processes. The level of raw emissions is affected enormously by the time of injection of secondary air and the acceleration performance of the secondary air system. A comparison of all the measured variants with the secondary air pump and secondary air charger indicates that the secondary air charger system has a distinct emission advantage. In addition, by relieving the vehicle power supply the secondary air charger brings about a reduction in engine load, improved response, and higher secondary air mass flow. The result is a 20% to 30% reduction in raw HC emissions. The significant advantages over the secondary air pump are rounded off by benefits in terms of weight and bulk volume and a reduction in the amount of wiring. Tests conducted at low temperature (-7°C) and under high altitude conditions have also indicated advantages over the secondary air pump.

This thesis project aims to target the increasing number of people who live, work and transit through the densely populated metropolises that, fused together, create megaregions. These individuals, an already big and ever increasing number of people, are the so-called super-commuters, members of the workforce whose commutes surpass the figures of 90 minutes or, alternatively, 145 km in a single-way.As it happens with others who live in the same geographical region, they experience the need or wish of working in the dense urban centres that offer plenty of job opportunities, but little housing opportunities. This lack of housing paired with its very high and ever increasing prices forces these people to disperse and to search for living places farther away from their workplaces, thus trading convenience and free time for long commutes. Super-commuting is indeed showing a growing trend, not only in the number of super-commuters themselves but also in the duration of commutes.Commutes are getting lengthier for a number of reasons, such as increasingly comfortable vehicles, technological advancements that help render commuting time either productive or entertaining.However, in a post-pandemic society, many companies are also offering their employees the chance to adopt hybrid work modes with more days spent working from home - which makes workers consider living farther away from their workplaces as they need to commute less (number of times). It is an undeniable fact that the longer the commute, the less free time one worker has, either for resting or doing something productive. It is also true that in an increasingly fast-paced technological world, people have also increasing difficulties in separating their professional and personal lives. Therefore, the approach of this thesis project goes through offering people the chance to make the most out of their commutes, so as to free more of their time when not commuting or working - time to spend with their loved ones or to be used to do whatever they would like. To achieve that, this project contemplates the use of autonomous technologies expected to become more widespread within the automotive industry; as by rendering vehicles autonomous would free people from driving and let them allocate their time to other tasks. This thesis project offers a holistic proposal of a premium commuting service targeted to super-commuters living and working within the Northern California megaregion. This service would connect peripheral communities directly to the Bay Area, where most companies are located, through a door-to-hub service.It focuses on how users of this service might experience their commutes by presenting case studies of three different types of professionals with diverse needs, and exploring how they would use it as a means of making their commutes as convenient and efficient as possible. The process herein exposed goes through the various stages of design development, from research to ideation and leading to a final proposal, consisting of a service, mobile booking app and exterior + interior design of a vehicle.