La gestion d’énergie est un sujet de plus en plus important dans notre société. Nous faisons actuellement face à un nombre croissant de problèmes tels que l’épuisement des réserves pétrolières, le réchauffement climatique ou encore la diminution de la qualité de l’énergie (principalement due aux coupures pendant les pics de consommation). Les smartgrids sont une des solutions à ces problèmes. En ajoutant une communication bidirectionnelle et de nouvelles capacités en matière de technologies de l’information et de la communication, il est possible de créer un système autonome de gestion intelligente de l’énergie.Les travaux décrits dans ce mémoire s'intéressent particulièrement à la gestion des microgrids à l'aide de systèmes multi-agents (SMA). Les microgrids sont des réseaux de faibles puissances, composés de petits producteurs d’énergie décentralisés (éventuellement renouvelables) et de consommateurs. Ces réseaux peuvent être reliés (ou non) au réseau global ce qui ajoute à leur complexité. De par leurs complexités et leurs répartitions géographiques, les smartgrids, comme les microgrids, ne peuvent pas être gérés facilement par des systèmes centralisés. Les intelligences artificielles distribuées et plus particulièrement les SMA apparaissent comme un moyen cohérent de résoudre les problèmes liés aux smartgrids.Dans un premier temps, nous avons défini une approche mettant en oeuvre des boucles de rétroaction. Une boucle de rétroaction apparaît dans les systèmes complexes qui peuvent être définis avec plusieurs niveaux d'abstraction. Deux niveaux sont ainsi en interaction. Le niveau micro regroupe un ensemble d'agents ayant des comportements qui, une fois combinés, influeront sur l'état du système. Le niveau macro traite ces influences pour définir un nouvel état du système qui influera sur le comportement des agents du niveau micro. Cette boucle de rétroaction permet de séparer les comportements sur plusieurs niveaux.Cette approche est utilisée pour définir un problème de gestion offre-demande dans un microgrid. Ce problème permet de prendre en compte un ensemble d'objectifs qui sont actuellement traités de manière indépendante. Enfin, une application utilisant un SMA a été développée. Cette approche peut s'intégrer dans ce problème. Elle a pour but d'assurer la stabilité du réseau à tout instant grâce au contrôle de systèmes de stockage.Dans un second temps, un simulateur de réseau électrique permettant le contrôle dynamique des périphériques a été développé. Ce simulateur repose sur trois grands principes. Le premier est une modélisation à base d’agents du simulateur lui-même, pour représenter la complexité des réseaux électriques. Le second principe repose sur l’utilisation du paradigme holonique afin de prendre en compte les multiples niveaux inhérents aux réseaux électriques. Enfin, le troisième principe est inspiré du modelé influence/réaction et propose une technique qui permet de gérer les actions simultanées, éventuellement conflictuelles, au sein des SMA. / Energy management is, nowadays, a subject of uttermost importance. Indeed, we are facing growing concerns such as petroleum reserve depletion, earth global warming or power quality (e.g. avoiding blackouts during peak times). Smart grids is an attempt to solve such problems, by adding to power grids bidirectional communications and ICT capabilities in order to provide an intelligent autonomic management for the grid.This thesis focuses on the management of microgrids thanks to multiagent systems (MAS). Microgrids are low-power networks, composed of small and decentralized energy producers (possibly renewable) and consumers. These networks can be connected to the main grid or islanded, this make them more complex. Due to their complexity and their geographical distribution, smart grids and microgrids can not be easily managed by a centralized system. Distributed artificial intelligences especially MAS appear to be a solution to resolve problems related to smart grids.Firstly we defined an approach implementing feedback loops. These feedback loops exist in complex systems which can be defined with several abstraction levels. Two levels are interacting. The micro-level contains a set of agents owning behaviours that can be combined. The result of the combination imapct the state of the system. The macro-level processes these influences to define a new state of the system which will imapct the agents behaviours at the micro-level.This feedback loop separates behaviours on several levels.This approach is used to defined a demand and supply matching problem in microgrid. This problem afford to manage a set of goals which currently are independently processed. Finally, an application is developed using MAS that ensures grid stability thanks to storage systems. This application was thought to be integrated to the approach detailed above.Secondly, a grid simulator id developed. This simulator allows dynamic control of devices. It is based on three main principles.• An agent-based model of the simulator to represent the complexity of electrical networks. • The use of the holonic paradigm to take into account the multiple levels inherent to power grids. • The use of the influence/reaction model and offers a technology that can manage simultaneous actions, possibly conflicting, in MAS.

La biologie moléculaire et, plus spécifiquement, la régulation de l’expression génique ont été révolutionnées par la découverte des microARN (miARN). Ces petits ARN d’une vingtaine de nucléotides sont impliqués dans la majorité des processus cellulaires et leur expression est dérégulée dans plusieurs maladies, comme le cancer. Un miARN reconnaît ses cibles principalement par son noyau, ce qui lui permet de réguler simultanément la traduction de centaines d’ARN messagers. Nos travaux ont montré l’existence d’une boucle de rétro-activation négative, entre deux miARN du polycistron miR-17-92 et trois facteurs de transcription de la famille E2F. E2F1, 2 et 3 induisent la transcription de miR-20 et miR-17 qui par la suite inhibent leur traduction. Nos résultats suggèrent l’implication de cette boucle dans la résistance à l’apoptose induite par E2F1 dans les cellules du cancer de la prostate, ce qui expliquerait en partie le potentiel oncogénique du polycistron miR-17-92. L’étude de ce motif de régulation nous a donc permis de réaliser le potentiel incroyable qu’ont les miARN à inhiber la traduction de plusieurs gènes. Basé sur les règles de reconnaissance des miARN, nous avons développé et validé MultiTar. Cet outil bioinformatique permet de trouver la séquence d’un miARN artificiel ayant le potentiel d’inhiber la traduction de gènes d’intérêts choisis par l’utilisateur. Afin de valider MultiTar, nous avons généré des multitargets pouvant inhiber l’expression des trois E2F, ce qui nous a permis de comparer leur efficacité à celle de miR-20. Nos miARN artificiels ont la capacité d’inhiber la traduction des E2F et de neutraliser leur fonction redondante de la progression du cycle cellulaire de façon similaire ou supérieur à miR-20. La fonctionnalité de notre programme, ouvre la voie à une stratégie flexible pouvant cibler le caractère multigénique de différents processus cellulaires ou maladies complexes, tel que le cancer. L’utilisation de miARN artificiels pourrait donc représenter une alternative intéressante aux stratégies déjà existantes, qui sont limitées à inhiber des cibles uniques. En plus d’élucider un réseau de régulation complexe impliquant les miARN, nous avons pu tirer profit de leur potentiel d’inhibition par la conception de miARN artificiels. / miRNAs are powerful regulators of gene expression in mammals. These small RNAs of around 20 nucleotides are involved in several cellular processes and diseases. MiRNAs recognize their targets mainly by a region comprising nucleotides 2-8, known as the seed. This characteristic gives them the potential to inhibit hundreds of messenger RNAs. Our first goal was to better characterize the complex network involving miRNAs in the regulation of gene expression. To achieve this, we studied the relation between a family of transcription factors, the E2Fs, and a family of miRNAs, the miR-17-92 cluster. Our results suggest a negative feedback loop involving miR-17, miR-20a, E2F1, E2F2 and E2F3. In this loop E2F1, 2 and 3 activate the transcription of the two miRNAs that inhibit their translation in return. The inhibition of the antiapoptotic function of E2F1 by miR-17 and miR-20 in a prostate cancer context, could explain the oncogenic potential of the miR-17-92 cluster that was previously reported. Studying the miR-20/E2F feedback loop made us realize how powerful was the ability of miRNAs to inhibit several targets. To overcome the lack of efficient tools able to inhibit simultaneously the expression of multiple genes, our second goal was to develop MultiTar, an algorithm able to design artificial miRNAs that target a set of predetermined genes. MultiTar was validated in silico, using known targets of endogenous miRNAs and in vivo, taking advantage of our experience with the E2F context. We designed artificial miRNAs against E2F1-3 and expressed them both in normal human fibroblasts and prostate cancer cells where they inhibited cell proliferation and induced cellular senescence. The observed phenotypes were precisely those known for inhibiting E2F activities. Hence, MultiTar can efficiently design artificial micro RNAs able to target multiple genes and is thus a flexible tool that can address the issue of multigenic diseases and complex cellular processes. The use of multitargets could be an alternative to overcome the limits of drugs or siRNAs that are designed generally to regulate only one target.

This work builds up on the greatest minds of Cambridge Holography: Adrian Cable, Edward Buckley, Jonathan Freeman, and Christoph Bay. Cable and Buckley, developed an OSPR algorithm which was the first to provide high-quality real-time hologram generation using general-purpose hardware while Freeman designed a method to correct arbitrary aberrations. As ingenious as the method was, the calculations were extensively lengthy. Addressing this issue, a variant of OSPR suited for correcting spatially-varying aberration is presented. The algorithm combines the approaches of Cable, Buckley and Freeman to provide real-time hologram generation while incorporating various corrections (aberration, distortion, and pixel shape envelope). A high-performance implementation on a mid-range GPU achieved hologram generation up to 12 fps. Following topic studied is an adaptive optical correction. This work attempts to construct a set of methods, forming an automated testbed for holographic projectors. Each model, after exiting the production line is placed on such testbed, having all of its imperfections characterized. Once calibrated, each model is able to display highest-quality image throughout its life-span. An application of this work to industry was carried in collaboration with Dr Phillip Hands (University of Edinburgh) and LumeJET. Three demonstrators are constructed intending for a cost-effective system for holographic lithography. They are characterized using the developed testbed. Using the supersampled Adaptive OSPR algorithm, the diffraction limit was surpassed 2.75 times allowing to increase the patterning area. This combines approaches of Cable, Buckley, Freeman and Bay to achieve a wide field-of-view and high pixel-count replay field using off-the-shelf components. This thesis is finished describing the work on 3D holography carried with Penteract28. It is shown that the 2D hologram in the presence of spatially-varying aberrations is mathematically equivalent to a 3D hologram. The same implementation of the algorithm can be used to provide real-time 3D hologram generation.

Self-adaptive systems are capable of autonomously adjusting their behavior at runtime to accomplish particular adaptation goals. The most common way to realize self-adaption is using a feedback loop(s) which contains four actions: collect runtime data from the system and its environment, analyze the collected data, decide if an adaptation plan is required, and act according to the adaptation plan for achieving the adaptation goals. Existing approaches achieve the adaptation goals by using formal methods, and exhaustively verify all the available adaptation options, i.e., adaptation space. However, verifying the entire adaptation space is often not feasible since it requires time and resources. In this thesis, we present an approach which uses machine learning to reduce the adaptation space in self-adaptive systems. The approach integrates with the feedback loop and selects a subset of the adaptation options that are valid in the current situation. The approach is applied on the simulator of a self-adaptive Internet of Things application which is deployed in KU Leuven, Belgium. We compare our results with a formal model based self-adaptation approach called ActivFORMS. The results show that on average the adaptation space is reduced by 81.2% and the adaptation time by 85% compared to ActivFORMS while achieving the same quality guarantees.

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Aufgrund des weltweit steigenden Energiebedarfs, dessen Deckung derzeit größtenteils auf fossilen Brennstoffen basiert, ist es nötig geworden, die Entwicklung alternativer Möglichkeiten zur Erzeugung von Elektroenergie als Primärenergie voranzutreiben. Eine dieser alternativen Möglichkeiten ist die Brennstoffezellentechnologie, welche sowohl in stationären als auch mobilen Anwendungen zum Einsatz kommen kann. Ihrer weitreichenden Verbreitung stehen bislang die aufgrund des großen Fertigungsaufwandes hohen Herstellungskosten der benötigten Komponenten im Wege. Hierzu zählen die Gasdiffusionslagen des weit verbreiteten Typs der wasserstoffbetriebenen Polymerelektrolytbrennstoffzelle. Es treten zwischen den einzelnen Fertigungsschritten im Herstellungsprozess dieser Gasdiffusionslagen Wechselwirkungen auf, die zu unerwünschten Materialveränderungen führen. Die Ursachen dieser Wechselwirkungen sind nicht vollends verstanden. Eine Vertiefung des Verständnisses der Herstellungsprozesse soll die Grundlage für eine Optimierung der Prozessführung bilden. Es sollen eine Kostenreduktion sowie eine Leistungssteigerung der Gasdiffusionslagen ermöglicht werden.:1 Einleitung 1 2 Stand der Technik 5 2.1 Brennstoffzellen 5 2.2 Gasdiffusionslagen 11 3 Problemstellung und Zielsetzung 17 4 Analyse und Klassifizierung von GDL-Fehlern 20 4.1 Fehlerklassifizierung 22 4.2 Fehleridentifizierung 26 4.3 Auswahl zu analysierender Fehlerbilder 27 4.4 Charakteristika der ausgewählten Fehlerbilder 42 4.4.1 Bahndeformationen 42 4.4.2 Umlaufende Verdickungen von Wickeln in Umfangsrichtung 44 4.4.3 Längs- und Queraufrauhungen sowie Rauhspuren 45 5 Theoretische Grundlagen 49 5.1 Physikalische und mechanische Grundlagen 49 5.1.1 Zug-, Biege- und Druckspannungen in Warenbahnen 49 5.1.2 Elastizitäts- und Kompressionsmoduli 52 5.1.3 Elastizität und Plastizität 53 5.1.4 Umformmechanismen im GDL-Basisvliesstoff und Versagensarten von Fasern 54 5.2 Statistik 55 5.2.1 Korrelationsanalyse 55 5.2.2 Regressionsanalyse 56 5.2.3 Zweistichproben-t-Tests und Konfidenzintervalle 56 5.2.4 Stichprobenumfang 57 5.3 Qualitätsregelkreise 58 6 Eingesetzte Untersuchungsmethoden 60 6.1 Mechanische Eigenschaften 64 6.1.1 Höchstzugkraft und Höchstzugkraftdehnung 64 6.1.2 Elastizitätsmodul und Kompressibilität 66 6.1.3 Elastische und plastische Deformation bei Zugbelastungen 67 6.1.4 Flächenmasse 70 6.1.5 Biegesteifigkeit 72 6.1.6 Dickenmessung 74 6.2 Thermische Eigenschaften 75 6.2.1 Wärmeleitfähigkeit 75 6.3 Bildgebende Verfahren 78 6.3.1 Schliffbildmikroskopie 78 6.3.2 Rasterelektronenmikroskopie 78 6.3.3 µ-Computertomographie 79 7 Herstellungsverfahren der untersuchten Gasdiffusionslagen im Überblick 81 8 Basisvliesstoffherstellung 84 8.1 Prozess der Vliesbildung und Verfestigung 84 8.2 Charakterisierung des GDL-Basisvliesstoffes 90 8.3 Fehlerbilder des GDL-Basisvliesstoffes 103 9 Dickenkalibrierung 113 9.1 Prozess der Dickenkalibrierung des GDL-Basisvliesstoffes 113 9.2 Charakterisierung des dickenkalibrierten GDL-Basisvliesstoffes 120 9.3 Fehlerbilder des dickenkalibrierten GDL-Basisvliesstoffes 130 9.3.1 Prozessbeobachtung 130 9.3.2 Hypothesenbildung und Verifikation 135 9.3.3 Maßnahmen zur Fehlervermeidung 146 10 Carbonisierung 156 10.1 Prozess der Carbonisierung 156 10.2 Charakterisierung carbonisierten GDL-Substrates 157 10.3 Fehlerbilder im Carbonisierprozess 163 11 Data Mining für die GDL-Herstellung 167 11.1 Datenerhebung 167 11.2 Auszuwertende Parameter 172 11.3 Ergebnisse der Parameteranalysen 173 12 Qualitätsregelkreise zum GDL-Produktionsprozess 178 12.1 Wulstbildung und Längsaufrauhung 178 12.2 Queraufrauhung 181 13 Zusammenfassung und Ausblick 184 14 Literaturverzeichnis 186 15 Abbildungsverzeichnis 192 16 Abkürzungsverzeichnis 201 17 Formelverzeichnis 203 18 Anlagenverzeichnis 204 / Due to worldwide increasing energy consumption, which is mainly covered by fossile fuels nowadays, it has become a necessity to further develop alternative possibilities to create electricity as primary energy. One alternative technology to accomplish this is fuel cell technology which can be used in stationary as well as in mobile applications. One aspect hindering its widespread use is the high manufacturing cost of the needed components due to the complicated production processes. Among these are gad diffusion layers of the commonly used hydrogen-driven polymer electrolyte fuel cells. There are interactions occurring between the several production steps leading to unwanted changes in material properties. The causes of these interactions are not completely understood. A deeper understanding of these shall be the basis for optimizations in process design and therefore cost reductions and improvements in performance of gas diffusion layers can be achieved.:1 Einleitung 1 2 Stand der Technik 5 2.1 Brennstoffzellen 5 2.2 Gasdiffusionslagen 11 3 Problemstellung und Zielsetzung 17 4 Analyse und Klassifizierung von GDL-Fehlern 20 4.1 Fehlerklassifizierung 22 4.2 Fehleridentifizierung 26 4.3 Auswahl zu analysierender Fehlerbilder 27 4.4 Charakteristika der ausgewählten Fehlerbilder 42 4.4.1 Bahndeformationen 42 4.4.2 Umlaufende Verdickungen von Wickeln in Umfangsrichtung 44 4.4.3 Längs- und Queraufrauhungen sowie Rauhspuren 45 5 Theoretische Grundlagen 49 5.1 Physikalische und mechanische Grundlagen 49 5.1.1 Zug-, Biege- und Druckspannungen in Warenbahnen 49 5.1.2 Elastizitäts- und Kompressionsmoduli 52 5.1.3 Elastizität und Plastizität 53 5.1.4 Umformmechanismen im GDL-Basisvliesstoff und Versagensarten von Fasern 54 5.2 Statistik 55 5.2.1 Korrelationsanalyse 55 5.2.2 Regressionsanalyse 56 5.2.3 Zweistichproben-t-Tests und Konfidenzintervalle 56 5.2.4 Stichprobenumfang 57 5.3 Qualitätsregelkreise 58 6 Eingesetzte Untersuchungsmethoden 60 6.1 Mechanische Eigenschaften 64 6.1.1 Höchstzugkraft und Höchstzugkraftdehnung 64 6.1.2 Elastizitätsmodul und Kompressibilität 66 6.1.3 Elastische und plastische Deformation bei Zugbelastungen 67 6.1.4 Flächenmasse 70 6.1.5 Biegesteifigkeit 72 6.1.6 Dickenmessung 74 6.2 Thermische Eigenschaften 75 6.2.1 Wärmeleitfähigkeit 75 6.3 Bildgebende Verfahren 78 6.3.1 Schliffbildmikroskopie 78 6.3.2 Rasterelektronenmikroskopie 78 6.3.3 µ-Computertomographie 79 7 Herstellungsverfahren der untersuchten Gasdiffusionslagen im Überblick 81 8 Basisvliesstoffherstellung 84 8.1 Prozess der Vliesbildung und Verfestigung 84 8.2 Charakterisierung des GDL-Basisvliesstoffes 90 8.3 Fehlerbilder des GDL-Basisvliesstoffes 103 9 Dickenkalibrierung 113 9.1 Prozess der Dickenkalibrierung des GDL-Basisvliesstoffes 113 9.2 Charakterisierung des dickenkalibrierten GDL-Basisvliesstoffes 120 9.3 Fehlerbilder des dickenkalibrierten GDL-Basisvliesstoffes 130 9.3.1 Prozessbeobachtung 130 9.3.2 Hypothesenbildung und Verifikation 135 9.3.3 Maßnahmen zur Fehlervermeidung 146 10 Carbonisierung 156 10.1 Prozess der Carbonisierung 156 10.2 Charakterisierung carbonisierten GDL-Substrates 157 10.3 Fehlerbilder im Carbonisierprozess 163 11 Data Mining für die GDL-Herstellung 167 11.1 Datenerhebung 167 11.2 Auszuwertende Parameter 172 11.3 Ergebnisse der Parameteranalysen 173 12 Qualitätsregelkreise zum GDL-Produktionsprozess 178 12.1 Wulstbildung und Längsaufrauhung 178 12.2 Queraufrauhung 181 13 Zusammenfassung und Ausblick 184 14 Literaturverzeichnis 186 15 Abbildungsverzeichnis 192 16 Abkürzungsverzeichnis 201 17 Formelverzeichnis 203 18 Anlagenverzeichnis 204

<p dir="ltr">Ultra-scaled, always-on, smart, wearable and implantable (WI) therapeutic platforms define the research frontier of modern personalized medicine. The WI platform integrates real-time sensing with on-demand therapy and is ideally suited for real-time management of chronic diseases like diabetes. Traditional blood tracking methods, such as glucometers, are insufficient due to their once-in-a-while measurements and the imprecision of insulin injections, which can lead to severe complications. To address these challenges, researchers have been developing smart and minimally invasive microneedle (MN) components for pain-free glucose detection and drug delivery, potentially functioning as an "artificial pancreas". Inspired by natural body homeostasis, these platforms must be accurate and responsive for immediate corrective interventions. However, artificial MN patches often have slow readings due to factors like MN morphology and composition that remain poorly understood, hindering their optimization and integration into real-time monitoring devices. Despite extensive, iterative experimental efforts worldwide, a holistic framework incorporating the interaction between MN sensing and therapy with fluctuating natural body functions is missing. In this thesis, we propose a generalized framework for glycemic management based on the interaction between biological processes and MN-based operations. The results, incorporating theoretical insights from the 1960s and recent advancements in MN technology, are platform-agnostic. This generality offers a unique template to interpret experimental observations, justify the recent introduction of drugs like GLP-1 cocktails, and optimize platforms for accurate and fast disease management. </p>

A slab-coupled optical fiber sensor (SCOS) falls into a narrow class of all-dielectric optical fiber electric field sensors, which makes it a perfect candidate for measurements of high electric fields in environments where presence of conductors is highly perturbing to the system under test. Its nonlinear response to high fields requires a new nonlinear calibration technique. A nonlinear calibration method is explained and demonstrated to successfully measure high electric fields, as well as high voltages with dynamic range up to 50 dB. Furthermore, a SCOS can be fitted into narrow spaces and make highly localized measurements due to its small size. This allows a SCOS to be integrated inside a standard high voltage coaxial cable, such as RG-218. Effects of partial discharge and arcing is minimized by development of a fabrication method to avoid introduction of impurities, especially air-bubbles, into the cable during SCOS insertion. Low perturbation of the measured voltage is shown by simulating the introduced voltage reflections to be on the order of –50 dB. It is also shown that a SCOS can be inserted into other cables without significant perturbation to the voltage. A complete high voltage and high electric field measurement system is built based on the high-voltage modifications of the SCOS technology. The coaxial SCOS is enhanced for robustness. Enhancements include packaging a SCOS into stronger ceramic trough, strengthening the fiber with kevlar reinforced furcation tubing and protecting the sensor with metal braces and protective shells. The interrogator is protected from electromagnetic interference with an RF-shielded box. Reduction in power losses introduced by the new PANDA-SCOS technology allows interrogator bandwidths to be increased up to 1.2 GHz. The whole measurement process is streamlined with dedicated software, developed specifically for high voltage and electric field measurements with support for the nonlinear calibration.

A slab-coupled optical fiber sensor (SCOS) falls into a narrow class of all-dielectric optical fiber electric field sensors, which makes it a perfect candidate for measurements of high electric fields in environments where presence of conductors is highly perturbing to the system under test. Its nonlinear response to high fields requires a new nonlinear calibration technique. A nonlinear calibration method is explained and demonstrated to successfully measure high electric fields, as well as high voltages with dynamic range up to 50 dB. Furthermore, a SCOS can be fitted into narrow spaces and make highly localized measurements due to its small size. This allows a SCOS to be integrated inside a standard high voltage coaxial cable, such as RG-218. Effects of partial discharge and arcing is minimized by development of a fabrication method to avoid introduction of impurities, especially air-bubbles, into the cable during SCOS insertion. Low perturbation of the measured voltage is shown by simulating the introduced voltage reflections to be on the order of −50 dB. It is also shown that a SCOS can be inserted into other cables without significant perturbation to the voltage.A complete high voltage and high electric field measurement system is built based on the high-voltage modifications of the SCOS technology. The coaxial SCOS is enhanced for robustness. Enhancements include packaging a SCOS into stronger ceramic trough, strengthening the fiber with kevlar reinforced furcation tubing and protecting the sensor with metal braces and protective shells. The interrogator is protected from electromagnetic interference with an RF-shielded box. Reduction in power losses introduced by the new PANDA-SCOS technology allows interrogator bandwidths to be increased up to 1.2 GHz. The whole measurement process is streamlined with dedicated software, developed specifically for high voltage and electric field measurements with support for the nonlinear calibration.

As an object at the boundary between virtual and physical reality, the screen exists both as a displayer and as a thing displayed, thus functioning as a mediator. The screen's virtual imagery produces a sense of immersion in its viewer, yet at the same time the materiality of the screen produces a sense of rejection from the viewer's complete involvement in the virtual world. The experience of the screen is thus an oscillation between these two states of immersion and rejection. Nowadays, as interactivity becomes a central component of the relationship between viewers and many artworks, the viewer experience of the screen is changing. Unlike the screen experience in non-interactive artworks, such as the traditional static screen of painting or the moving screen of video art in the 1970s, interactive media screen experiences can provide viewers with a more immersive, immediate, and therefore, more intense experience. For example, many digital media artworks provide an interactive experience for viewers by capturing their face or body though real-time computer vision techniques. In this situation, as the camera and the monitor in the artwork encapsulate the interactor's body in an instant feedback loop, the interactor becomes a part of the interface mechanism and responds to the artwork as the system leads or even provokes them. This thesis claims that this kind of direct mirroring in interactive screen-based media artworks does not allow the viewer the critical distance or time needed for self-reflection. The thesis examines the previous aesthetics of spatial and temporal perception, such as presentness and instantaneousness, and the notions of passage and of psychological perception such as reflection, reflexiveness and auratic experience, looking at how these aesthetics can be integrated into new media screen experiences. Based on this theoretical research, the thesis claims that interactive screen spaces can act as a site for expression and representation, both through a doubling effect between the physical and virtual worlds, and through manifold spatial and temporal mappings with the screen experience. These claims are further supported through exploration of screen-based media installations created by the author since 2003.