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Water is used in a way as if it were available infinitely. Droughts, increased rainfall or flooding already lead to water shortages and, thus, deprive entire population groups of the basis of their livelihoods. There is a growing fear that conflicts over water will increase, especially in arid climate zones, because life without water - whether for humans, animals or plants - is not possible.
More than 60 % of the African population depend on land and water resources for their livelihoods through pastoralism, fishing and farming. The water levels of rivers and lakes are decreasing. Hence, the rural population which is dependent on land and water move towards water-rich and humid areas. This internal migration increases the pressure on available water resources. Driven by the desire to strengthen the economic development, African governments align their political agendas with the promotion of macro international and national economic projects.
This doctoral thesis examines the complex interrelationships between water shortages, governance, vulnerability, adaptive capacity and violent and non-violent conflicts at Lake Naivasha in Kenya and Lake Wamala in Uganda. In order to satisfy the overall complexity, this doctoral thesis combines various theoretical and empirical aspects in which a variety of methods are applied to different geographical regions, across disciplines, and cultural and political boundaries.
The investigation reveals that Lake Naivasha is more affected by violent conflicts than Lake Wamala. Reasons for this include population growth, historically grown ethnic conflicts, corruption and the preferential treatment of national and international economic actors. The most common conflict response tools are raiding and the blockage of water access. However, deathly encounters, destruction of property and cattle slaughtering are increasingly used to gain access to water and land.
The insufficient implementation of the political system and the governments’ prioritization to foster economic development results, on the one hand, in the commercialization of water resources and increases, on the other hand, non-violent conflict between national and sub-national political actors. While corruption, economic favours and patronage defuse this conflict, resource access becomes more difficult for the local population. Resulting thereof, a final hypothesis is developed which states that the localization of the political conflict aggravates the water situation for the local population and, thereby, favours violent conflicts over water access and water use in water-rich areas.
The Internet of Things is still one of the most relevant topics in the field of economics and research powered by the increasing demand of innovative services. Cost reductions in manufacturing of IoT hardware and the development of completely new communication ways has led to the point of bil-lions of devices connected to the internet. But in order to rule this new IoT landscape a standardized solution to conquer these challenges must be developed, the IoT Architecture.
This thesis examines the structure, purpose and requirements of IoT Architecture Models in the global IoT landscape and proposes an overview across the selected ones. For that purpose, a struc-tured literature analysis on this topic is conducted within this thesis, including an analysis on three existing research approaches trying to frame this topic and a tool supported evaluation of IoT Archi-tecture literature with over 200 accessed documents.
Furthermore, a coding of literature with the help of the specialised coding tool ATLAS.ti 8 is conduct-ed on 30 different IoT Architecture Models. In a final step these Architecture Models are categorized and compared to each other showing that the environment of IoT and its Architectures gets even more complex the further the research goes.
English prepositions take only a small proportion of the language but play a substantial role. Although prepositions are of course also frequently used in English textbooks for secondary school, students fail to incidentally acquire them and often show low achievements in using prepositions correctly. The strategy commonly employed by language instructors is teaching the multiple senses of prepositions by rote which fails to help the students to draw links between the different meanings in usage. New findings in Cognitive Linguistics (CL) suggest a different approach to teaching prepositions and thus might have a strong impact on the methodologies of foreign language teaching and learning on the aspects of meaningful learning. Based on the Theory of Domains (Langacker, 1987), the notions of image schemas (Johnson, 1987) as well as the Conceptual Metaphor Theory (Lakoff & Johnson, 1980), the present study developed a CL-inspired approach to teaching prepositions, which was compared to the traditional teaching method by an empirical study conducted in a German school setting. Referring to the participants from the higher track and the medium track, who are at different proficiency levels, the results indicate that the CL-inspired teaching approach improved students" performance significantly more than the traditional approach in all the cases for the higher track and in some cases for the medium track. Thus, these findings open up a new perspective of the CL-inspired meaningful learning approach on language teaching. In addition, the CL-inspired approach demonstrates the unification of the integrated model of text and picture comprehension (the ITPC model) in integrating the new knowledge with related prior knowledge in the cognitive structure. According to the learning procedure of the ITPC model, the image schema as visual image is first perceived through the sensory register, then is processed in the working memory by conceptual metaphor, and finally it is integrated with cognitive schemata in the long term memory. Moreover, deep-seated factors, such as transfer of mother tongue, the difficulty of teaching materials, and the influence of prior knowledge, have strong effects on the acquisition of English prepositions.
Das Hauptziel der vorliegenden Arbeit ist die Absicherung der Qualität eines pharmazeutischen Produktionsprozesses durch die Überprüfung des Volumens mikroskopischer Polymerstäbchen mit einem hochgenauen 3D Messverfahren. Die Polymerstäbchen werden für pharmazeutische Anwendungen hergestellt. Aus Gründen der Qualitätssicherung muss das Istgewicht überprüft werden. Derzeit werden die Polymerstäbchen stichprobenartig mit einer hochpräzisen Waage gewogen. Für die nächste Generation von Polymeren wird angenommen, dass die Produktabmessungen weiter reduziert werden sollen und die Produktionstoleranzen auf 2,5% gesenkt werden. Die daraus resultierenden Genauigkeitsanforderungen übersteigen jedoch die Möglichkeiten der Wiegetechnik. Bei homogenen Materialien ist die Masse proportional zum Volumen. Aus diesem Grund kommt dessen Bestimmung als Alternative in Frage. Dies verschafft Zugang zu optischen Messverfahren und deren Flexibilität und Genauigkeitpotenzial. Für den Entwurf eines auf die Fragestellung angepassten Messkonzeptes sind weiterhin von Bedeutung, dass das Objekt kontaktlos, mit einer Taktzeit von maximal fünf Sekunden vermessen und das Volumen approximiert wird. Die Querschnitte der Polymerstäbchen sind etwa kreisförmig. Aufgrund der Herstellung der Fragmente kann nicht davon ausgegangen werden, dass die Anlageflächen orthogonal zur Symmetrieachse des Objektes sind. Daher muss analysiert werden, wie sich kleine Abweichungen von kreisförmigen Querschnitten sowie die nicht idealen Anlageflächen auswirken. Die maximale Standardabweichung für das Volumen, die nicht überschritten werden sollte, beträgt 2,5%. Dies entspricht einer maximalen Abweichung der Querschnittsfläche um 1106 µm² (Fehlerfortpfanzung). Als Bewertungskriterium wird der Korrelationskoeffzient zwischen den gemessenen Volumina und den Massen bestimmt. Ein ideales Ergebnis wäre 100%. Die Messung zielt auf einen Koeffzienten von 98% ab. Um dies zu erreichen, ist ein präzises Messverfahren für Volumen erforderlich. Basierend auf dem aktuellen Stand der Technik können die vorhandenen optischen Messverfahren nicht verwendet werden. Das Polymerstäbchen wird von einer Kamera im Durchlicht beobachtet. Daher sind der Durchmesser und die Länge sichtbar. Das Objekt wird mittels einer mechanischen Vorrichtung um die Längsachse gedreht. So können Bilder von allen Seiten aufgenommen werden. Der Durchmesser und die Länge werden mit der Bildverarbeitung berechnet. Das neue Konzept vereint die Vorteile der Verfahren: Es ist unempfindlich gegen Farb-/Helligkeitsänderungen und die Bilder können in beliebiger Anzahl aufgenommen werden. Außerdem sind die Erfassung und Auswertung wesentlich schneller. Es wird ein Entwurf und die Umsetzung einer Lösung zur hochpräzisen Volumenmessung von Polymerstäbchen mit optischer Messtechnik und Bildverarbeitung ausgearbeitet. Diese spezielle Prozesslösung in der Prozesslinie (inline) sollte eine 100%ige Qualitätskontrolle während der Produktion garantieren. Die Zykluszeiten des Systems sollte fünf Sekunden pro Polymerstäbchen nicht überschreiten. Die Rahmenbedienungen für den Prozess sind durch die Materialeigenschaften des Objekts, die geringe Objektgröße (Breite = 199 µm, Länge = 935 µm bis 1683 µm) und die undeffinierte Querschnittsform (durch den Trocknungsprozess) vorgegeben. Darüber hinaus sollten die Kosten für den Prozess nicht zu hoch sein. Der Messaufbau sollte klein sein und ohne Sicherheitsvorkehrungen oder Abschirmungen arbeiten. Das entstandene System nimmt die Objekte in verschiedenen Winkelschritten auf, wertet mit Hilfe der Bildverarbeitung die Aufnahmen aus und approximiert das Volumen. Der Korrelationskoffizient zwischen Volumen und Gewicht beträgt für 77 Polymerstäbchen mit einem Gewicht von 37 µg bis 80 µg 99; 87%. Mit Hilfe eines Referenzsystems kann die Genauigkeit der Messung bestimmt werden. Die Standardabweichung sollte maximal 2,5% betragen. Das entstandene System erzielt eine maximale Volumenabweichung von 1,7%. Die Volumenvermessung erfüllt alle Anforderungen und kann somit als Alternative für die Waage verwendet werden.
3D-models are getting more important in many areas such as multimedia applications, robotics or film industries. Of particular interest is the creation of 3D-models from a series of monocular images. This is because the cameras that are required for this purpose are becoming cheaper, smaller and more sophisticated at the same time. Increasingly often, suitable cameras are already integrated in devices like smartphones, tablet PCs or cars for example. Hence, there is a great potential for applications of this reconstruction technique.
This thesis is based on the use of a series of images that were taken with arncalibrated camera. The first step is to extract point correspondences from this image series making use of the well-known SURF- and A-KAZE-features. Starting from the point correspondences, it is possible to reconstruct a 3D-Modell with different algorithms that consists of a point cloud and camera poses. To reduce errors in the 3D-model, this thesis especially focuses on explaining the bundle adjustment algorithm, which is being used for a non-linear error minimization of a cost function.
The thesis also introduces the application for the 3D-reconstruction and the visualization of the results, that was developed in the course of this thesis.
The implemented system is evaluated based on statistics and the newly aquiredrnknowledge is presented. The thesis concludes with a summary of its results, and a number of ideas for potential future applications and developments.
3D-Curve-Skeletons are often used, because the object surface repesentation is less complex and also needs less computing power in further processing, compared to the representation created by the Medial Axis Transformation introduced 1967 by Harry Blum.
This theses aims at developing a 3D curve skelton approximation algorithm that keeps these advantages and is also able to handle different scenarios of the object surface input data.
Today, augmented reality is becoming more and more important in several areas like industrial sectors, medicine, or tourism. This gain of importance can easily be explained by its powerful extension of real world content. Therefore, augmented realty became a way to explain and enhance the real world information. Yet, to create a system which can enhance a scene with additional information, the relation between the system and the real world must be known. In order to establish this relationship a commonly used method is optical tracking. The system calculates its relation to the real world from camera images. To do so, a reference which is known is needed in the scene to serve as an orientation. Today, this is mostly a 2D-marker or a 2D-texture. These are placed in the real world scenery to serve as a reference. But, this is an intrusion in the scene. That is why it is desirable that the system works without such an additional aid. An strategy without manipulating the scene is object-tracking. In this approach, any object from the scene can be used as a reference for the system. As an object is far more complex than a marker, it is harder for the system to establish its relationship with the real world. That is why most methods for 3D-object-tracking reduce the object by not using the whole object as reference. The focus of this thesis is to research how a whole object can be used as a reference in a way that either the system or the camera can be moved in any 360 degree angle around the object without loosing the relation to the real world. As a basis the augmented reality framework, the so called VisionLib, is used. Extensions to this system for 360 degree tracking are implemented in different ways and analyzed in the scope of this work. Also, the different extensions are compared. The best results were achieved by improving the reinitialization process. With this extension, current camera images of the scene are given to the system. With the hek of these images, the system can calculate the relation to the real world faster in case the relation went missing.
The mitral valve is one of four human heart valves. It is located in the left heart and acts as a unidirectional passageway for blood between the left atrium and the left ventricle. A correctly functioning mitral valve prevents a backflow of blood into the pulmonary circulation (lungs) and thus constitutes a vital part of the cardiac cycle. Pathologies of the mitral valve can manifest in a variety of symptoms with severity ranging from chest pain and fatigue to pulmonary edema (fluid accumulation in the tissue and air space of lungs), which may ultimately cause respiratory failure.
Malfunctioning mitral valves can be restored through complex surgical interventions, which greatly benefit from intensive planning and pre-operative analysis. Visualization techniques provide a possibility to enhance such preparation processes and can also facilitate post-operative evaluation. The work at hand extends current research in this field, building upon patient-specific mitral valve segmentations developed at the German Cancer Research Center, which result in triangulated 3D models of the valve surface. The core of this work will be the construction of a 2D-view of these models through global parameterization, a method that can be used to establish a bijective mapping between a planar parameter domain and a surface embedded in higher dimensions.
A flat representation of the mitral valve provides physicians with a view of the whole surface at once, similar to a map. This allows assessment of the valve's area and shape without the need for different viewing angles. Parts of the valve that are occluded by geometry in 3D become visible in 2D.
An additional contribution of this work will be the exploration of different visualizations of the 3D and 2D mitral valve representations. Features of the valve can be highlighted by associating them with specified colors, which can for instance directly convey pathology indicators.
Quality and effectiveness of the proposed methods were evaluated through a survey conducted at the Heidelberg University Hospital.
In this work the Navier-Stokes equations for non-stationary incompressible
flow of the Newtonian fluid in time dependent domain are studied. The geometry of the flow domain changes in time according to fluid properties such as stress tensor. The motivation for our study comes from medicine—the simulation of blood flow in arteries and veins.
After choosing an appropriate mathematical model of the flow in a domain with viscoelastic compliant walls, we deal with its theoretical analysis. We prove the existence of a weak solution using the weak compressible approximation in a moving domain with given deformation function. In our approach the fluid-structure interface condition is treated using a permeable-wall approach decoupling the fluid and the deformable structure.
Finally we present some numerical experiments illustrating the convergence of the iteration with respect to the domain deformation function as well as the behavior of the moving wall for decreased permeability.
In this thesis, the methods of a feasibility study are applied to analyze whether or not the foundation of an academic based startup focusing on IT-consulting is possible. For this purpose the concept of consulting, the demand for the offering of consulting services as well as the relevant market are analyzed. Furthermore, empirical research through face-to-face interviews with IT-companies located in the region of Koblenz is utilized in order to gain further insight about the feasibility of said business venture. The result of the research is to be presented in a concrete recommendation for further actions.