Cette thèse porte sur l’optimisation des techniques de compression d'images fixes et de vidéos en vue de la caractérisation des matériaux pour des applications dans le domaine de la mécanique, et s’inscrit dans le cadre du projet de recherche MEgABIt (MEchAnic Big Images Technology) soutenu par l’Université Polytechnique Hauts-de-France. L’objectif scientifique du projet MEgABIt est d’investiguer dans l’aptitude à compresser de gros volumes de flux de données issues d’instrumentation mécanique de déformations à grands volumes tant spatiaux que fréquentiels. Nous proposons de concevoir des algorithmes originaux de traitement dans l’espace compressé afin de rendre possible au niveau calculatoire l’évaluation des paramètres mécaniques, tout en préservant le maximum d’informations fournis par les systèmes d’acquisitions (imagerie à grande vitesse, tomographie 3D). La compression pertinente de la mesure de déformation des matériaux en haute définition et en grande dynamique doit permettre le calcul optimal de paramètres morpho-mécaniques sans entraîner la perte des caractéristiques essentielles du contenu des images de surface mécaniques, ce qui pourrait conduire à une analyse ou une classification erronée. Dans cette thèse, nous utilisons le standard HEVC (High Efficiency Video Coding) à la pointe des technologies de compression actuelles avant l'analyse, la classification ou le traitement permettant l'évaluation des paramètres mécaniques. Nous avons tout d’abord quantifié l’impact de la compression des séquences vidéos issues d’une caméra ultra-rapide. Les résultats expérimentaux obtenus ont montré que des taux de compression allant jusque 100 :1 pouvaient être appliqués sans dégradation significative de la réponse mécanique de surface du matériau mesurée par l’outil d’analyse VIC-2D. Finalement, nous avons développé une méthode de classification originale dans le domaine compressé d’une base d’images de topographie de surface. Le descripteur d'image topographique est obtenu à partir des modes de prédiction calculés par la prédiction intra-image appliquée lors de la compression sans pertes HEVC des images. La machine à vecteurs de support (SVM) a également été introduite pour renforcer les performances du système proposé. Les résultats expérimentaux montrent que le classificateur dans le domaine compressé est robuste pour la classification de nos six catégories de topographies mécaniques différentes basées sur des méthodologies d'analyse simples ou multi-échelles, pour des taux de compression sans perte obtenus allant jusque 6: 1 en fonction de la complexité de l'image. Nous avons également évalué les effets des types de filtrage de surface (filtres passe-haut, passe-bas et passe-bande) et de l'échelle d'analyse sur l'efficacité du classifieur proposé. La grande échelle des composantes haute fréquence du profil de surface est la mieux appropriée pour classer notre base d’images topographiques avec une précision atteignant 96%. / This PhD. thesis focuses on the optimization of fixed image and video compression techniques for the characterization of materials in mechanical science applications, and it constitutes a part of MEgABIt (MEchAnic Big Images Technology) research project supported by the Polytechnic University Hauts-de-France (UPHF). The scientific objective of the MEgABIt project is to investigate the ability to compress large volumes of data flows from mechanical instrumentation of deformations with large volumes both in the spatial and frequency domain. We propose to design original processing algorithms for data processing in the compressed domain in order to make possible at the computational level the evaluation of the mechanical parameters, while preserving the maximum of information provided by the acquisitions systems (high-speed imaging, tomography 3D). In order to be relevant image compression should allow the optimal computation of morpho-mechanical parameters without causing the loss of the essential characteristics of the contents of the mechanical surface images, which could lead to wrong analysis or classification. In this thesis, we use the state-of-the-art HEVC standard prior to image analysis, classification or storage processing in order to make the evaluation of the mechanical parameters possible at the computational level. We first quantify the impact of compression of video sequences from a high-speed camera. The experimental results obtained show that compression ratios up to 100: 1 could be applied without significant degradation of the mechanical surface response of the material measured by the VIC-2D analysis tool. Then, we develop an original classification method in the compressed domain of a surface topography database. The topographical image descriptor is obtained from the prediction modes calculated by intra-image prediction applied during the lossless HEVC compression of the images. The Support vector machine (SVM) is also introduced for strengthening the performance of the proposed system. Experimental results show that the compressed-domain topographies classifier is robust for classifying the six different mechanical topographies either based on single or multi-scale analyzing methodologies. The achieved lossless compression ratios up to 6:1 depend on image complexity. We evaluate the effects of surface filtering types (high-pass, low-pass, and band-pass filter) and the scale of analysis on the efficiency of the proposed compressed-domain classifier. We verify that the high analysis scale of high-frequency components of the surface profile is more appropriate for classifying our surface topographies with accuracy of 96 %.

Innovation in wireless communication has resulted in accelerating demand for smartphones using multiple communications protocols such as WiFi, Bluetooth and the many cellular standards deployed around the world. The variety of frequency, bandwidth and power requirements associated with each standard typically calls for the implementation of separate radio frequency (RF) front end hardware for each standard. This is a less-than-ideal solution in terms of cost and device area. Software-defined radio (SDR) promises to solve this problem by allowing the RF hardware to be digitally reconfigurable to adapt to any wireless standard. The application of machine learning and cognition algorithms to SDR will enable cognitive radios and cognitive wireless networks, which will be able to intelligently adapt to user needs and surrounding radio spectrum conditions. The challenge of fully reconfigurable transceivers is in implementing digitally-controlled RF circuits which have comparable performance to their fixed-frequency counterparts. Switching-mode power amplifiers (SMPA) are likely to be an important part of fully reconfigurable transmitters since their switching operation provides inherent compatibility with digital circuits, with the added benefit of very high efficiency. As a step to understanding the RF requirements of high efficiency and switching PAs, an inverse class F PA in push-pull configuration is implemented. This configuration is chosen for its similarity to the current mode class D (CMCD) topology. The fabricated PA achieves a peak drain efficiency of over 75% with 42.7 dBm (18.6 W) output power at 2.46 GHz. Since SMPAs cannot directly provide the linearity required by current and future wireless communications standards, amplitude information must be encoded into the RF signal in a different way. Given the superior time resolution of digital integrated circuit (IC) technology, a logical solution is to encode this information into the timing of the signal. The two most common techniques for doing so are pulse width modulation and delta-sigma modulation. However, the design of delta-sigma modulators requires simulation as part of the design process due to the lack of closed-form relationships between modulator parameters (such as resolution and oversampling) and performance figures (such as coding efficiency and signal quality). In particular, the coding efficiency is often ignored although it is an important part of ensuring transmitter efficiency with respect to the desired signal. A study of these relationships is carried out to observe the tradeoffs between them. It is found that increasing the speed or complexity of a DS modulated system does not necessarily translate to performance benefits as one might expect. These observations can have a strong impact on design choices at the system level.

Innovation in wireless communication has resulted in accelerating demand for smartphones using multiple communications protocols such as WiFi, Bluetooth and the many cellular standards deployed around the world. The variety of frequency, bandwidth and power requirements associated with each standard typically calls for the implementation of separate radio frequency (RF) front end hardware for each standard. This is a less-than-ideal solution in terms of cost and device area. Software-defined radio (SDR) promises to solve this problem by allowing the RF hardware to be digitally reconfigurable to adapt to any wireless standard. The application of machine learning and cognition algorithms to SDR will enable cognitive radios and cognitive wireless networks, which will be able to intelligently adapt to user needs and surrounding radio spectrum conditions. The challenge of fully reconfigurable transceivers is in implementing digitally-controlled RF circuits which have comparable performance to their fixed-frequency counterparts. Switching-mode power amplifiers (SMPA) are likely to be an important part of fully reconfigurable transmitters since their switching operation provides inherent compatibility with digital circuits, with the added benefit of very high efficiency. As a step to understanding the RF requirements of high efficiency and switching PAs, an inverse class F PA in push-pull configuration is implemented. This configuration is chosen for its similarity to the current mode class D (CMCD) topology. The fabricated PA achieves a peak drain efficiency of over 75% with 42.7 dBm (18.6 W) output power at 2.46 GHz. Since SMPAs cannot directly provide the linearity required by current and future wireless communications standards, amplitude information must be encoded into the RF signal in a different way. Given the superior time resolution of digital integrated circuit (IC) technology, a logical solution is to encode this information into the timing of the signal. The two most common techniques for doing so are pulse width modulation and delta-sigma modulation. However, the design of delta-sigma modulators requires simulation as part of the design process due to the lack of closed-form relationships between modulator parameters (such as resolution and oversampling) and performance figures (such as coding efficiency and signal quality). In particular, the coding efficiency is often ignored although it is an important part of ensuring transmitter efficiency with respect to the desired signal. A study of these relationships is carried out to observe the tradeoffs between them. It is found that increasing the speed or complexity of a DS modulated system does not necessarily translate to performance benefits as one might expect. These observations can have a strong impact on design choices at the system level.

This thesis introduces a new photovoltaic (PV) system architecture employing low voltage parallel-connected PV panels interfaced to a high voltage regulated DC bus of a three-phase grid-tied inverter. The concept provides several improvements over existing technologies in terms of cost, safety, reliability, and modularity. A novel resonant mode DC-DC boost converter topology is proposed to enable the PV modules to deliver power to the fixed DC bus. The topology offers high step-up capabilities and a nearly constant efficiency over a wide operating range. A reduced sensor maximum power point tracking (MPPT) controller is developed for the converter to maximize energy harvesting of the PV panels. The reduced sensor algorithm can be generally applied to the class of converters employing pulse frequency modulation control. A ZigBee wireless communication system is implemented to provide advanced control, monitoring and protection features. A testbench for a low cost 500 $W$ smart microconverter is designed and implemented, demonstrating the viability of the system architecture.

This thesis introduces a new photovoltaic (PV) system architecture employing low voltage parallel-connected PV panels interfaced to a high voltage regulated DC bus of a three-phase grid-tied inverter. The concept provides several improvements over existing technologies in terms of cost, safety, reliability, and modularity. A novel resonant mode DC-DC boost converter topology is proposed to enable the PV modules to deliver power to the fixed DC bus. The topology offers high step-up capabilities and a nearly constant efficiency over a wide operating range. A reduced sensor maximum power point tracking (MPPT) controller is developed for the converter to maximize energy harvesting of the PV panels. The reduced sensor algorithm can be generally applied to the class of converters employing pulse frequency modulation control. A ZigBee wireless communication system is implemented to provide advanced control, monitoring and protection features. A testbench for a low cost 500 $W$ smart microconverter is designed and implemented, demonstrating the viability of the system architecture.

Avec un encombrement minimal et rendement de 99% les transformateurs planars haute fréquence sont des solutions technologiques importantes pour les systèmes de conversion et de conditionnement de l’énergie électrique en électronique de puissance. L’objectif de l’étude consiste à rechercher un modèle du composant permettant à la fois de simuler son comportement dans un circuit d’électronique de puissance et d’optimiser ses performances lors de sa conception. Les modèles proposés prennent en compte les propriétés physiques et géométriques du composant. Les validations sont basées sur des confrontations avec les mesures. Une autre motivation forte de ce travail est que les modélisations numériques doivent prendre en compte simultanément les effets des courants induits et les capacités parasites, ce qui conduit, en haute fréquence, à des besoins prohibitifs en termes de capacité mémoire ou de temps de calcul. En se limitant aux transformateurs planar. La modélisation (dite LEEC) présentée ici s’appuie sur une discrétisation à échelle intermédiaire : spire par spire, c’est-à-dire couche par couche. Elle assemble deux approches analytiques déjà introduites par l’équipe : la première traite les aspects électrocinétiques (incluant les courants induits) et magnétiques et l’autre les aspects électrostatiques. Les circuits à constantes localisées basés sur la méthode LEEC montrent un très bon accord avec toutes les mesures jusqu’à 40 MHz. Des outils numériques sont aussi développés pour faciliter l’obtention de ces différents circuits en partant : soit de la description du composant, soit de mesures d’impédances. Pour compléter, la représentation des capacités d’un transformateur quelconque, développée en plusieurs étapes par l’équipe, est résumée et des précautions expérimentales originales appliquées à l’impédancemétrie sont exposées dans le détail. D’autres travaux visant à élargir le champ d’application de la méthode LEEC sont également présentés. / With a small footprint and volumes and 99% efficiency the high frequency Planar transformers are solutions for major power conversion systems in power electronics. The objective of the study is to find Models to both simulate its behavior in a power electronics circuit and optimize its performance during its design. The proposed models take into account the physical and geometrical properties of the component. Validations are based on confrontation with measurements. Another strong motivation of this work is the numerical modeling must take into account both the effects of induced currents and parasitic capacitances, this level of modeling needs prohibitive sizes in terms of memory and computation time. Modeling (called LEEP) presented here is based on a intermediate scale discretization: turn by turn (conducting layer by conducting layer). It combines two analytical approaches already introduced by our team: the first deals with aspects electrokinetic (including induced currents) and magnetic and electrostatic aspects. Lumped circuits based on the method LEEC show a very good agreement with measurements up to 40 MHz. Software tools are also being developed to facilitate the achievement of these circuits either from the component description, or impedance measurements. In order to complete the modeling the capacitive behavior of any transformer is presented (historical development by our team is also shown in details). New experimental precautions and methodology for impedance measurements is detailed in this work. Other works aiming to extend the LEEC model are also shown.

Master thesis deals with design controllable switching power source. Device is supplied and controlled via USB bus of PC. The required output parameters are specified by user in a computer application. The teoretical part includes method of USB communication and introduction to switching power sources with focus on a Sepic topologii. The practical part describe individual circuit solution which contains of a complete device. Is analyzed in detail the proposal Sepic converter circuit and controling by microcontroller. The work also includes the design of microcontroller and computer applications. The result of this thesis is a functional device on which is the performed measurement.

In this paper, electrification of hydraulic systems is proposed using high-efficiency permanent magnet (PM) motors and wide bandgap power electronic drives. Direct driven hydraulics (DDH) is selected because of its higher efficiency compared to other conventional technologies such as valve-controlled systems. The DDH is directly driven by a servomotor. The ratings and design guidelines for a servomotor used in DDH applications are provided in this paper. Specifically, a surface permanent magnet synchronous machine (SPMSM) is designed. Finally, a state-of-the-art inverter using silicon carbide wide bandgap devices are designed for high performance operation.

With the rapid development of microprocessor and semiconductor technology, industry continues to update the requirements for power supplies. For telecommunication and computing system applications, power supplies require increasing current level while the supply voltage keeps decreasing. For example, the Intel's CPU core voltage decreased from 2 volt in 1999 to 1 volt in 2005 while the supply current increased from 20A in 1999 to up to 100A in 2005. As a result, low-voltage high-current high efficiency dc-dc converters with high power-density are demanded for state-of-the-art applications and also the future applications. Half-bridge dc-dc converter with current-doubler rectification is regarded as a good topology that is suitable for high-current low-voltage applications. There are three control schemes for half-bridge dc-dc converters and in order to provide a valid unified analog model for optimal compensator design, the analog state-space modeling and small signal modeling are studied in the dissertation and unified state-space and analog small signal model are derived. In addition, the digital control gains a lot of attentions due to its flexibility and re-programmability. In this dissertation, a unified digital small signal model for half-bridge dc-dc converter with current doubler rectifier is also developed and the digital compensator based on the derived model is implemented and verified by the experiments with the TI DSP chip. In addition, although current doubler rectifier is widely used in industry, the key issue is the current sharing between two inductors. The current imbalance is well studied and solved in non-isolated multi-phase buck converters, yet few discusse this issue in the current doubler rectification topology within academia and industry. This dissertation analyze the current sharing issue in comparison with multi-phase buck and one modified current doubler rectifier topology is proposed to achieve passive current sharing. The performance is evaluated with half bridge dc-dc converter; good current sharing is achieved without additional circuitry. Due to increasing demands for high-efficiency high-power-density low-voltage high current topologies for future applications, the thermal management is challenging. Since the secondary-side conduction loss dominates the overall power loss in low-voltage high-current isolated dc-dc converters, a novel current tripler rectification topology is proposed. Theoretical analysis, comparison and experimental results verify that the proposed rectification technique has good thermal management and well-distributed power dissipation, simplified magnetic design and low copper loss for inductors and transformer. That is due to the fact that the load current is better distributed in three inductors and the rms current in transformer windings is reduced. Another challenge in telecommunication and computing applications is fast transient response of the converter to the increasing slew-rate of load current change. For instance, from Intel's roadmap, it can be observed that the current slew rate of the age regulator has dramatically increased from 25A/uS in 1999 to 400A/us in 2005. One of the solutions to achieve fast transient response is secondary-side control technique to eliminate the delay of optocoupler to increase the system bandwidth. Active-clamp half bridge dc-dc converter with secondary-side control is presented and one industry standard 16th prototype is built and tested; good efficiency and transient response are shown in the experimental section. However, one key issue for implementation of secondary-side control is start-up. A new zero-voltage-switching buck-flyback isolated dc-dc converter with synchronous rectification is proposed, and it is only suitable for start-up circuit for secondary-side controlled converter, but also for house-keeping power supplies and standalone power supplies requiring multi-outputs.

Denna rapport presenterar en utvärdering av en centrifugal luftrenare från företaget Airission som användes i en infektionsavdelning på Karolinska Universitetssjukhuset. Airissions luftrenare rensar bort partiklar och aerosoler, genom så kallad centrifugalteknologi, en relativt oprövad teknologi för luftrening. Målet var att undersöka och försöka verifiera luftrenarens funktion och prestanda samt jämföra den med en konventionell luftrenare som använder traditionella tvåstegsfilter för att rena luft.För att utföra studien användes ett bioaerosolmätinstrument som i realtid mäter partikelnivåerna i rummet. Testerna utfördes under olika driftförhållanden och tidsintervall med luftrenare påslagen respektive avstängd. Datainsamlingen och analysen inkluderade beräkningen av medelvärdet, jämförelse av partikelnivåerna mellan de olika testfallen och beräkning av standardavvikelsen.Resultaten visade att Airissions centrifugala luftrenare fungerar väl för rening av luft från partiklar och aerosoler. Reningseffektiviteten var jämförbar med en konventionell luftrenare. Den var mer effektiv än en konventionell luftrenare utan användning av högeffektiva luftfilter, mer allmänt känt som HEPA-filter. En signifikant minskning av antalet partiklar i luften observerades medan luftrenaren var i drift. Det uppstod dock en del komplikationer vid appliceringen av HEPA-filtret, vilka kunde ha haft en negativ påverkan på båda luftrenarna. Sammanfattningsvis visar analysen att den tillämpade centrifugalteknologin hos Airissions luftrenare fungerar väl. Jämförelsen av den konventionella luftrenaren visar vissa fördelar med en luftrenare som använder centrifugal teknologi - både gällande effektivitet och kvalitet.Denna rapport bidrar till kunskapen om luftreningslösningar för att förbättra luftkvaliteten och minska spridningen av luftburna sjukdomar, framför allt i sjukhusmiljöer. Resultaten kan vara till nytta för fortsatt forskning och utveckling av mer effektiva luftrenare som i sin tur ger ett bättre skydd för patienter och sjukhuspersonal som exponeras för luftburna smittämnen. / This report presents an evaluation of a centrifugal air purifier from the company Airission used in an infectious ward at Karolinska University Hospital. Airission's air purifier removes particles and aerosols using centrifugal technology, a relatively untested technology for air purification. The goal was to investigate and attempt to verify the functionality and performance of the air purifier and compare it to a conventional air purifier that uses traditional two-stage filters for air purification.To conduct the study, a bioaerosol measuring instrument was used to measure real-time particle levels in the room. The tests were performed under different operating conditions and time intervals with the air purifier turned on and off. Data collection and analysis included calculating the mean values, comparing the particle levels between different test cases, and calculating the standard deviation.The results showed that Airission's centrifugal air purifier effectively purifies air from particles and aerosols. The purification efficiency was comparable to a conventional air purifier. It was more effective than a conventional air purifier without the use of highefficiency air filters, commonly known as HEPA filters. A significant reduction in the number of particles in the air was observed while the air purifier was in operation. However, some complications arose during the application of the HEPA filter, which could have had a negative impact on both air purifiers.In summary, the analysis demonstrates that the applied centrifugal technology in Airission's air purifier works well. The comparison with the conventional air purifier shows certain advantages of an air purifier that uses centrifugal technology - in terms of both efficiency and quality.This report contributes to the knowledge of air purification solutions to improve air quality and reduce the spread of airborne diseases, especially in hospital environments. The results can be useful for further research and development of more effective air purifiers, which in turn provide better protection for patients and hospital staff exposed to airborne pathogens.