Cette thèse porte sur l'étude des techniques d'estimation Bayesienne non-linéaire, et leur applications aux problèmes de synchronisation pour des systèmes de communication par satellite, ainsi qu'au calcul des bornes Bayesiennes pour le problème de synchronisation suréchantillonné. D'abord, on présente le filtrage de Kalman et les méthodes particulaires, et l'on propose une nouvelle vue d'ensemble des méthodes déterministes. Ensuite, on établie la modélisation pour le probléme de la synchronisation fractionnée dans des systémes satellite, et l'on calcule la borne de Cramér-Rao Bayesienne pour le probléme d'estimation de phase, et la borne de Cramér-Rao hybride pour le probléme d'estimation conjointe de phase et d'offset de fréquence. Dans un deuxième temps, on applique les méthodes de filtrage (Kalman, particulaires et déterministes) aux problèmes d'estimation de phase, d'estimation conjointe de phase et d'offset de fréquence, d'estimation de délai et d'estimation de phase avec des bruits non-Gaussiens. Les méthodes proposées ont montré de bonnes performances pour nos problèmes de synchronisation. On présente aussi dans cette thèse, trois études liées aux travaux principaux. Le premier concerne l'estimation conjointe des gains complexes et du délai dans un canal de Rayleigh à variations lentes pour des signaux CPM. Le deuxième présente l'utilisation des méthodes déterministes pour la localisation avec un réseau de capteurs. Et finalement, le troisième présente le couplage GNSS/INS ultra précis et une solution déterministes à cette problèmatique.

<p><b>Background and aims:</b> Type 2 diabetes mellitus is connected with elevated glucose levels, which cause impaired glucose-stimulated insulin secretion (GSIS) and degeneration of β-cells. Mechanisms for such glucotoxic effects were explored in the present study.</p><p><b>Materials and methods:</b> INS-1E cells were cultured for 5 days in 5.5, 11, 20 or 27 mM glucose in the presence or absence of AMPK-agonist AICAR. GSIS was determined from INS-1E cells and islets obtained from type 2 diabetes and control donors. Human islets and INS-1E cells were functionally characterized (GSIS) and protein profiled (SELDI-TOF MS). Glucose-induced <i>de novo</i> synthesis of fatty acyls (HR-MAS NMR spectroscopy), fatty acid composition (GC-MS), triglyceride content and specific proteins (Western blotting) were determined in INS-1E cells.</p><p><b>Results:</b> Impaired GSIS was observed from INS-1E cells exposed to chronic hyperglycaemia and islets isolated from type 2 diabetics compared to INS-1E cells cultured at normal glucose levels and control islets, respectively. Several glucose-regulated proteins were found when type 2 diabetes and control islets or mitochondria from INS-1E cells cultured at different glucose concentrations were protein profiled. Glucose induced lipid <i>de novo</i> synthesis of both saturated and unsaturated fatty acids in specific proportions. Glucose-induced impairment of function and mass was reverted by inclusion of AICAR, which lowered levels of pro-apoptotic protein CHOP but left triglyceride content unaffected.</p><p><b>Conclusions:</b> Impaired GSIS and increased apoptosis observed in β-cells after prolonged exposure to elevated glucose concentrations involved accumulation of lipid species in specific proportions, AMPK-inactivation, ER-stress activation and complex, coordinated changes in expression patterns of mitochondrial and human islet proteins.</p>

<b>Background and aims:</b> Type 2 diabetes mellitus is connected with elevated glucose levels, which cause impaired glucose-stimulated insulin secretion (GSIS) and degeneration of β-cells. Mechanisms for such glucotoxic effects were explored in the present study. <b>Materials and methods:</b> INS-1E cells were cultured for 5 days in 5.5, 11, 20 or 27 mM glucose in the presence or absence of AMPK-agonist AICAR. GSIS was determined from INS-1E cells and islets obtained from type 2 diabetes and control donors. Human islets and INS-1E cells were functionally characterized (GSIS) and protein profiled (SELDI-TOF MS). Glucose-induced de novo synthesis of fatty acyls (HR-MAS NMR spectroscopy), fatty acid composition (GC-MS), triglyceride content and specific proteins (Western blotting) were determined in INS-1E cells. <b>Results:</b> Impaired GSIS was observed from INS-1E cells exposed to chronic hyperglycaemia and islets isolated from type 2 diabetics compared to INS-1E cells cultured at normal glucose levels and control islets, respectively. Several glucose-regulated proteins were found when type 2 diabetes and control islets or mitochondria from INS-1E cells cultured at different glucose concentrations were protein profiled. Glucose induced lipid de novo synthesis of both saturated and unsaturated fatty acids in specific proportions. Glucose-induced impairment of function and mass was reverted by inclusion of AICAR, which lowered levels of pro-apoptotic protein CHOP but left triglyceride content unaffected. <b>Conclusions:</b> Impaired GSIS and increased apoptosis observed in β-cells after prolonged exposure to elevated glucose concentrations involved accumulation of lipid species in specific proportions, AMPK-inactivation, ER-stress activation and complex, coordinated changes in expression patterns of mitochondrial and human islet proteins.

Throughout the last decade, vehicle localization has been attracting significant attention in a wide range of applications, including Navigation Systems, Road Tolling, Smart Parking, and Collision Avoidance. To deliver on their requirements, these applications need specific localization accuracy. However, current localization techniques lack the required accuracy, especially for mission critical applications. Although various approaches for improving localization accuracy have been reported in the literature, there is still a need for more efficient and more effective measures that can ascribe some level of accuracy to the localization process. These measures will enable localization systems to manage the localization process and resources so as to achieve the highest accuracy possible, and to mitigate the impact of inadequate accuracy on the target application. In this thesis, a framework for fusing different localization techniques is introduced in order to estimate the location of a vehicle along with location integrity assessment that captures the impact of the measurement conditions on the localization quality. Knowledge about estimate integrity allows the system to plan the use of its localization resources so as to match the target accuracy of the application. The framework introduced provides the tools that would allow for modeling the impact of the operation conditions on estimate accuracy and integrity, as such it enables more robust system performance in three steps. First, localization system parameters are utilized to contrive a feature space that constitutes probable accuracy classes. Due to the strong overlap among accuracy classes in the feature space, a hierarchical classification strategy is developed to address the class ambiguity problem via the class unfolding approach (HCCU). HCCU strategy is proven to be superior with respect to other hierarchical configuration. Furthermore, a Context Based Accuracy Classification (CBAC) algorithm is introduced to enhance the performance of the classification process. In this algorithm, knowledge about the surrounding environment is utilized to optimize classification performance as a function of the observation conditions. Second, a task-driven integrity (TDI) model is developed to enable the applications modules to be aware of the trust level of the localization output. Typically, this trust level functions in the measurement conditions; therefore, the TDI model monitors specific parameter(s) in the localization technique and, accordingly, infers the impact of the change in the environmental conditions on the quality of the localization process. A generalized TDI solution is also introduced to handle the cases where sufficient information about the sensing parameters is unavailable. Finally, the produce of the employed localization techniques (i.e., location estimates, accuracy, and integrity level assessment) needs to be fused. Nevertheless, these techniques are hybrid and their pieces of information are conflicting in many situations. Therefore, a novel evidence structure model called Spatial Evidence Structure Model (SESM) is developed and used in constructing a frame of discernment comprising discretized spatial data. SESM-based fusion paradigms are capable of performing a fusion process using the information provided by the techniques employed. Both the location estimate accuracy and aggregated integrity resultant from the fusion process demonstrate superiority over the employing localization techniques. Furthermore, a context aware task-driven resource allocation mechanism is developed to manage the fusion process. The main objective of this mechanism is to optimize the usage of system resources and achieve a task-driven performance. Extensive experimental work is conducted on real-life and simulated data to validate models developed in this thesis. It is evident from the experimental results that task-driven integrity assessment and control is applicable and effective on hybrid localization systems.

Chronic hyperlipidemia (lipotoxicity) and hyperglycemia (glucotoxicity) have recently been shown to induce Endoplasmic Reticulum (ER) stress, which may contribute to pancreatic beta-cell dysfunction in type 2 diabetes. This thesis examined the involvement of ER stress in beta-cell lipotoxicity and glucotoxicity. Although chronic treatment with saturated free fatty acids (FFA) in vitro induced ER stress, altering ER stress by increasing or knocking-down GRP78 chaperone expression had no effect on apoptosis induction. Conversely, overexpression of ER chaperones rescued the reduction in proinsulin protein levels caused by chronic exposure to high glucose, although it had no effect on the decreased insulin mRNA levels and proinsulin translation rate. Thus, ER stress is likely not the main mechanism involved in saturated FFA-induced beta-cell apoptosis in vitro, but it may contribute to glucotoxic effects on proinsulin levels. These findings have increased our understanding of the link between ER stress and beta-cell dysfunction in type 2 diabetes.

Chronic hyperlipidemia (lipotoxicity) and hyperglycemia (glucotoxicity) have recently been shown to induce Endoplasmic Reticulum (ER) stress, which may contribute to pancreatic beta-cell dysfunction in type 2 diabetes. This thesis examined the involvement of ER stress in beta-cell lipotoxicity and glucotoxicity. Although chronic treatment with saturated free fatty acids (FFA) in vitro induced ER stress, altering ER stress by increasing or knocking-down GRP78 chaperone expression had no effect on apoptosis induction. Conversely, overexpression of ER chaperones rescued the reduction in proinsulin protein levels caused by chronic exposure to high glucose, although it had no effect on the decreased insulin mRNA levels and proinsulin translation rate. Thus, ER stress is likely not the main mechanism involved in saturated FFA-induced beta-cell apoptosis in vitro, but it may contribute to glucotoxic effects on proinsulin levels. These findings have increased our understanding of the link between ER stress and beta-cell dysfunction in type 2 diabetes.

Inertial Measurement Unit (IMU) and Global Positioning System (GPS) receivers are sensors that are widely used for land vehicle navigation. GPS receivers provide position and/or velocity data to any user on the Earth&rsquo / s surface independent of his position. Yet, there are some conditions that the receiver encounters difficulties, such as weather conditions and some blockage problems due to buildings, trees etc. Due to these difficulties, GPS receivers&rsquo / errors increase. On the other hand, IMU works with respect to Newton&rsquo / s laws. Thus, in stark contrast with other navigation sensors (i.e. radar, ultrasonic sensors etc.), it is not corrupted by external signals. Owing to this feature, IMU is used in almost all navigation applications. However, it has some disadvantages such as possible alignment errors, computational errors and instrumentation errors (e.g., bias, scale factor, random noise, nonlinearity etc.). Therefore, a fusion or integration of GPS and IMU provides a more accurate navigation data compared to only GPS or only IMU navigation data. v In this thesis, loosely coupled GPS/IMU integration systems are implemented using feed forward and feedback configurations. The mechanization equations, which convert the IMU navigation data (i.e. acceleration and angular velocity components) with respect to an inertial reference frame to position, velocity and orientation data with respect to any desired frame, are derived for the geographical frame. In other words, the mechanization equations convert the IMU data to the Inertial Navigation System (INS) data. Concerning this conversion, error model of INS is developed using the perturbation of the mechanization equations and adding the IMU&rsquo / s sensor&rsquo / s error model to the perturbed mechanization equation. Based on this error model, a Kalman filter is constructed. Finally, current navigation data is calculated using IMU data with the help of the mechanization equations. GPS receiver supplies external measurement data to Kalman filter. Kalman filter estimates the error of INS using the error mathematical model and current navigation data is updated using Kalman filter error estimates. Within the scope of this study, some real experimental tests are carried out using the software developed as a part of this study. The test results verify that feedback GPS/INS integration is more accurate and reliable than feed forward GPS/INS. In addition, some tests are carried out to observe the results when the GPS receiver&rsquo / s data lost. In these tests also, the feedback GPS/INS integration is observed to have better performance than the feed forward GPS/INS integration.

In der vorliegenden Arbeit wird der These nachgegangen, dass sich Baugemeinschaften als Wohnform, die von der Gemeinschaft und dem Zusammenleben geprägt ist, im Hinblick auf den demographischen Wandel und dessen Auswirkungen sich zum lebenslangen Bewohnen eignet. Untersucht wurden die baulichen und architektonischen, aber auch sozialen und organisatorischen Gegebenheiten am Beispiel 13 Dresdner Baugemeinschaften. Am Ende liegen Maßnahmen und Empfehlunen für künftige Bauherren und Planer vor. / The present study traces the hypothesis that joint building ventures as a form of living, that is affected by the community and the cohabit, in view of the demographic change and its effects, are suit to lifelong occupancy. To be proved are the structural and architectural, but also the social and organizational conditions using the example of 13 joint building ventures in Dresden. Finally there are measures and recommendations for future building owners and architects on hand.

The Nashville Civil Rights Movement was one of the most dynamic local movements of the early 1960s, producing the most capable student leaders of the period 1960 to 1965. Despite such a feat, the historical record has largely overlooked this phenomenon. What circumstances allowed Nashville to produce such a dynamic movement whose youth leadership of John Lewis, Diane Nash, Bernard LaFayette, and James Bevel had no parallel? How was this small cadre able to influence movement developments on local and a national level? In order to address these critical research questions, standard historical methods of inquiry will be employed. These include the use of secondary sources, primarily Civil Rights Movement histories and memoirs, scholarly articles, and dissertations and theses. The primary sources used include public lectures, articles from various periodicals, extant interviews, numerous manuscript collections, and a variety of audio and video recordings. No original interviews were conducted because of the availability of extensive high quality interviews. This dissertation will demonstrate that the Nashville Movement evolved out of the formation of independent Black churches and college that over time became the primary sites of resistance to racial discrimination, starting in the Nineteenth Century. By the late 1950s, Nashville’s Black college attracted the students who became the driving force of a local movement that quickly established itself at the forefront of the Civil Rights Movement. Nashville’s forefront status was due to an intentional leadership training program based upon nonviolence. As a result of the training, leaders had a profound impact upon nearly every major movement development up to 1965, including the sit-ins, the Freedom Rides, the March on Washington, the birth of SNCC, the emergence of Black Power, the direction of the SCLC after 1962, the thinking of Dr. Martin Luther King, Jr., the Birmingham campaign, and the Selma voting rights campaign. In addition, the Nashville activists helped eliminate fear as an obstacle to Black freedom. These activists also revealed new relationship dynamics between students and adults and merged nonviolent direct action with voter registration, a combination considered incompatible.

Throughout the last decade, vehicle localization has been attracting significant attention in a wide range of applications, including Navigation Systems, Road Tolling, Smart Parking, and Collision Avoidance. To deliver on their requirements, these applications need specific localization accuracy. However, current localization techniques lack the required accuracy, especially for mission critical applications. Although various approaches for improving localization accuracy have been reported in the literature, there is still a need for more efficient and more effective measures that can ascribe some level of accuracy to the localization process. These measures will enable localization systems to manage the localization process and resources so as to achieve the highest accuracy possible, and to mitigate the impact of inadequate accuracy on the target application. In this thesis, a framework for fusing different localization techniques is introduced in order to estimate the location of a vehicle along with location integrity assessment that captures the impact of the measurement conditions on the localization quality. Knowledge about estimate integrity allows the system to plan the use of its localization resources so as to match the target accuracy of the application. The framework introduced provides the tools that would allow for modeling the impact of the operation conditions on estimate accuracy and integrity, as such it enables more robust system performance in three steps. First, localization system parameters are utilized to contrive a feature space that constitutes probable accuracy classes. Due to the strong overlap among accuracy classes in the feature space, a hierarchical classification strategy is developed to address the class ambiguity problem via the class unfolding approach (HCCU). HCCU strategy is proven to be superior with respect to other hierarchical configuration. Furthermore, a Context Based Accuracy Classification (CBAC) algorithm is introduced to enhance the performance of the classification process. In this algorithm, knowledge about the surrounding environment is utilized to optimize classification performance as a function of the observation conditions. Second, a task-driven integrity (TDI) model is developed to enable the applications modules to be aware of the trust level of the localization output. Typically, this trust level functions in the measurement conditions; therefore, the TDI model monitors specific parameter(s) in the localization technique and, accordingly, infers the impact of the change in the environmental conditions on the quality of the localization process. A generalized TDI solution is also introduced to handle the cases where sufficient information about the sensing parameters is unavailable. Finally, the produce of the employed localization techniques (i.e., location estimates, accuracy, and integrity level assessment) needs to be fused. Nevertheless, these techniques are hybrid and their pieces of information are conflicting in many situations. Therefore, a novel evidence structure model called Spatial Evidence Structure Model (SESM) is developed and used in constructing a frame of discernment comprising discretized spatial data. SESM-based fusion paradigms are capable of performing a fusion process using the information provided by the techniques employed. Both the location estimate accuracy and aggregated integrity resultant from the fusion process demonstrate superiority over the employing localization techniques. Furthermore, a context aware task-driven resource allocation mechanism is developed to manage the fusion process. The main objective of this mechanism is to optimize the usage of system resources and achieve a task-driven performance. Extensive experimental work is conducted on real-life and simulated data to validate models developed in this thesis. It is evident from the experimental results that task-driven integrity assessment and control is applicable and effective on hybrid localization systems.