The thesis examines the foreign direct investment (FDI) inflows in the Middle East and North Africa (MENA) region and, in order to achieve a better understanding of how MENA economies may attract FDI, attempts to identify their possible location-specific de-terminants. The analysis is based on the results of the cross-section OLS regression meth-od. The examined empirical model is based on the eclectic theory developed by John Dun-ning and the previous empirical studies. To test the relevant location-specific determinants of FDI inflows into MENA region, eighteen countries are sampled for the period 1996-2006. The results of the regression analysis show that physical infrastructure and trade openness are significant determinants of FDI in the MENA countries.

Foreign Direct Investment is seen as a critical source of capital inflow and a stimulant of economic growth in many developing nations. It brings with it benefits such as job creation, technology and knowledge transfers just to mention a few. Thus many African countries are keen in finding ways of attracting FDI. The main objective of this paper is to empirically examine the determinants of foreign direct investment (FDI) by incorporating an econometric method based on cross-sectional data from 41 African countries over the period 2002-2007. More precisely, this research intends to answer the following question: what are the relevant determinants that promote FDI inflows in Africa? Among the several determinants of FDI, the finding suggests that market size and natural resource predominance are the main determinants of FDI into Africa.

<p><p>The thesis examines the foreign direct investment (FDI) inflows in the Middle East and North Africa (MENA) region and, in order to achieve a better understanding of how MENA economies may attract FDI, attempts to identify their possible location-specific de-terminants. The analysis is based on the results of the cross-section OLS regression meth-od. The examined empirical model is based on the eclectic theory developed by John Dun-ning and the previous empirical studies. To test the relevant location-specific determinants of FDI inflows into MENA region, eighteen countries are sampled for the period 1996-2006. The results of the regression analysis show that physical infrastructure and trade openness are significant determinants of FDI in the MENA countries.</p></p>

The release of the location-based game Pokemon Go saw the creators breaking world records for most revenue grossed by a mobile game within its first month. With location-based games and services such as Pokemon Go becoming mainstream, new opportunities in the market have been opened. But as location-based services become more popular there is a need for research and development of UX-design to keep up. Regarding location-based services there are multiple important questions in the field. For example, how are map interactions made intuitive and how are elements that interact with the map designed for the best user experience? Questions such as these will be explored in this thesis. This thesis is done in collaboration with the company Exenze which develops a location-based mobile game called Oknytt - Jakten på amuletten (Oknytt - The hunt for the amulet). The game is tailored to specific outdoor areas of the company's clients' choosing, such as campsites, parks or playgrounds. As of the writing of this thesis, the way of creating a level for Oknytt was very complex and took a lot of time. Exenze wanted an easier way to create levels, in which clients could make make their own levels; hence, the aim of this study was to create a user interface in which a non-professional user could create their own fun, engaging, and safe level for Oknytt. The method of this thesis consisted of development and testing of a low fidelity prototype, a mid fidelity prototype and a high fidelity prototype. The resulting high fidelity prototype divided the complex task of creating a level on a specific location into four dependable sub-tasks; finding a place, marking the game zone, marking areas that were unsafe for children, and managing collectibles. These sub-tasks were made into steps in a Wizard with one added step for filling billing information. The prototype was generally well received by users. Most of the problems in the interface had to do with the marking of game zones as well as marking areas that were unsafe for children.

<p>  </p> <p>There has been a growing interest within the aerospace industry for shifting towards a digital twin approach, for reliable assessment of individual components during the product lifecycle - across design, manufacturing, and in-service maintenance, repair & overhaul (MRO) stages. The transition towards digital twins relies on continuous updating of the product lifecycle datasets and interoperable exchange of data applicable to components, thereby permitting engineers to utilize current state information to make more-informed downstream decisions. In this thesis, we primarily develop a framework to store, track, update, and retrieve product lifecycle data applicable to a serialized component, its features, and individual locations. </p> <p>From a structural integrity standpoint, the fatigue performance of a component is inherently tied to the component geometry, its material state, and applied loading conditions. The manufacturing process controls the underlying material microstructure, which in turn governs the mechanical properties and ultimately the performance. The processing also controls the residual stress distributions within the component volume, which influences the durability and damage tolerance of the component. Hence, we have demonstrated multiple use cases for fatigue life assessment of critical aerospace components, by using the developed framework for efficiently tracking and retrieving (i) the current geometric state, (ii) the material microstructure state, and (iii) residual stress distributions.</p> <p>Model-based definitions (MBDs) present opportunities to capture both geometric and non-geometric data using 3D computer-aided design (CAD) models, with the overarching aim to disseminate product information across different stages of the lifecycle. MBDs can potentially eliminate error-prone information exchange associated with traditional paper-based drawings and improve the fidelity of component details, captured using 3D CAD models. However, current CAD capabilities limit associating the material information with the component’s shape definition. Furthermore, the material attributes of interest, viz., material microstructures and residual stress distributions, can vary across the component volume. To this end, in the first part of the thesis, we implement a CAD-based tool to store and retrieve metadata using point objects within a CAD model, thereby creating associations to spatial locations within the component. The tool is illustrated for storage and retrieval of bulk residual stresses developed during the manufacturing of a turbine disk component, acquired from process modeling and characterization. Further, variations in residual stress distribution owing to process model uncertainties have been captured as separate instances of the disk’s CAD models to represent part-to-part variability as an analogy to track individual serialized components for digital twins. The propagation of varying residual stresses from these CAD models within the damage tolerance analysis performed at critical locations in the disk has been demonstrated. The combination of geometric and non-geometric data inside the MBD, via storage of spatial and feature varying information, presents opportunities to create digital replica or digital twin(s) of actual component(s) with location-specific material state information.</p> <p>To fully realize a digital twin description of components, it is crucial to dynamically update information tied to a component as it evolves across the lifecycle, and subsequently track and retrieve current state information. Hence, in the second part of the thesis, we propose a dynamic data linking approach to include material information within the MBDs. As opposed to storing material datasets directly within the CAD model in the previous approach, we externally store and update the material datasets and create data linkages between material datasets and features within the CAD models. To this end, we develop a model-based feature information network (MFIN), a software agnostic framework for linking, updating, searching, and retrieving of relevant information across a product’s lifecycle. The use case of a damage tolerance analysis for a compressor bladed-disk (blisk) is demonstrated, wherein Ti-6Al-4V blade(s) are linear friction welded to the Ti-6Al-4V disk, comprising well-defined regions exhibiting grain refinement and high residuals stresses. By capturing the location-specific microstructural information and residual stress fields at the weld regions, this information was accessed within the MFIN and used for downstream damage tolerant analysis. The introduction of the MFIN framework facilitates access to dynamically evolving as well as location-specific data for use within physics-based models.</p> <p>In the third part of thesis, we extend the MFIN framework to enable a physics-based, microstructure sensitive and location-specific fatigue life analysis of a component. Traditionally, aerospace components are treated as monolithic structures during lifing, wherein microstructural information at individual locations are not necessarily considered. The resulting fatigue life estimates are conservative and associated with large uncertainty bounds, especially in components with gradient microstructures or distinct location-specific microstructures, thereby leading to under usage of the component’s capabilities. To improve precision in the fatigue estimates, a location-specific lifing framework is enabled via MFIN, for tracking and retrieval of microstructural information at distinct locations for subsequent use within a crystal plasticity-based fatigue life prediction model. A use case for lifing dual-microstructure heat treated LSHR turbine disk component is demonstrated at two locations, near the bore (fine grains) and near the rim (coarse grains) regions. We employ the framework to access (a) the grain size statistics and (b) the macroscopic strain fields to inform precise boundary conditions for the crystal plasticity finite-element analysis. The illustrated approach to conduct a location-specific predictive analysis of components presents opportunities for tailoring the manufacturing process and resulting microstructures to meet the component’s targeted requirements.</p> <p>For reliably conducting structural integrity analysis of a component, it is crucial to utilize their precise geometric description. The component geometries encounter variations from nominal design geometries, post manufacturing or after service. However, traditionally, stress analyses are based on nominal part geometries during assessment of these components. In the last part of the thesis, we expand the MFIN framework to dynamically capture deviations in the part geometry via physical measurements, to create a new instance of the CAD model and the associated structural analysis. This automated workflow enables engineers for improved decision-making by assessing (i) as-manufactured part geometries that fall outside of specification requirements during the materials review board or (ii) in-service damages in parts during the MRO stages of the lifecycle. We demonstrate a use case to assess the structural integrity of a turbofan blade that had experienced foreign object damage (FOD) during service. The as-designed geometry was updated based on coordinate measurements of the damaged blade surfaces, by applying a NURBS surface fit, and subsequently utilized for downstream finite-element stress analysis. The ramifications of the FOD on the local stresses within the part are illustrated, providing critical information to the engineers for their MRO decisions. The automated flow of information from geometric inspection within structural analysis, enabled by MFIN, presents opportunities for effectively assessing products by utilizing their current geometries and improving decision-making during the product lifecycle.</p>