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Justifying Genocide
As Stefan Ihrig shows in this first comprehensive study, many Germans sympathized with the Ottomans’ longstanding repression of the Armenians and with the Turks’ program of extermination during World War I. In the Nazis’ version of history, the Armenian Genocide was justifiable because it had made possible the astonishing rise of the New Turkey.
Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.
Justifying Genocide
The Armenian Genocide and the Nazi Holocaust are often thought to be separated by a large distance in time and space. But Stefan Ihrig shows that they were much more connected than previously thought. Bismarck and then Wilhelm II staked their foreign policy on close relations with a stable Ottoman Empire. To the extent that the Armenians were restless under Ottoman rule, they were a problem for Germany too. From the 1890s onward Germany became accustomed to excusing violence against Armenians, even accepting it as a foreign policy necessity. For many Germans, the Armenians represented an explicitly racial problem and despite the Armenians’ Christianity, Germans portrayed them as the “Jew...
Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle
This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.
Process simulation of wet compression moulding for continuous fibre-reinforced polymers
Interdisciplinary development approaches for system-efficient lightweight design unite a comprehensive understanding of materials, processes and methods. This applies particularly to continuous fibre-reinforced plastics (CoFRPs), which offer high weight-specific material properties and enable load path-optimised designs. This thesis is dedicated to understanding and modelling Wet Compression Moulding (WCM) to facilitate large-volume production of CoFRP structural components.
Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches
With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative mileage to qualitative test coverage by aggregating the results of both knowledge-based and data-driven test platforms. The validity of the test domain can be extended cost-effectively throughout the software development process to achieve meaningful test termination criteria.
El Talmud de Viena
Esther, hija de una familia de orígenes judíos, nace el mismo día en que se firma el Tratado de Versalles, que pone fin a la devastadora Primera Guerra Mundial. Su padre, el doctor Paul Dukas, obsesionado con su ascenso personal y profesional, y convertido al cristianismo, descubrirá muy pronto que el pasado judío de un hombre no se perdona fácilmente. La historia de Esther, así como la de los Goldman —portadores del Talmud de Viena— o la de los mellizos Gessner —que ven en el auge del partido nazi un instrumento idóneo para medrar—, es el hilo conductor de esta apasionante novela que muestra los avatares del pueblo judío en un periodo crucial del siglo XX: desde la promesa,...
AI and IoT Meet Mobile Machines: Towards a Smart Working Site
Infrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT).
The Russian Roots of Nazism
This book analyses the contributions of 'White émigrés', anti-Bolshevik Russian exiles, to Nazism.
Fiber-dependent injection molding simulation of discontinuous reinforced polymers
This work presents novel simulation techniques for injection molding of fiber reinforced polymers. These include approaches for anisotropic flow modeling, hydrodynamic forces from fluid on fibers, contact forces between fibers, a novel fiber breakage modeling approach and anisotropic warpage analysis. Due to the coupling of fiber breakage and anisotropic flow modeling, the fiber breakage directly influences the modeled cavity pressure, which is validated with experimental data.
