Filtyp
Spatial relationships are a comprehensive and essential part of geographical information management and GIS. Topological relationships are a subgroup of the spatial relationships. They are defined by the fact that they do not break under topological transformations, meaning they remain when stretching, twisting or crumbling the underlying space. Topological relationships are for instance relations
This thesis, written at Scania CV AB in Södertälje, Sweden, during the spring of 2015, treats the subject of Solid State Fuses and the possibility to use these in heavy vehicles. A Solid State Fuse is a device containing only solid state components, implementing a function to protect wiring harness and connectors from damage caused by electrical faults. The device should contain circuit breakers a
The six participants, two in Sweden and four in Denmark, interviewed for this thesis are all organizational outsiders: they consult organizations on how to create diverse workplaces. The empirical, qualitative material is analyzed within an interdisciplinary framework consisting of feminist, queer, anti-racist, affect and critical diversity theories. The focus of the thesis concerns resistance fro
The majority of the current 3GPP and M2M networks use or will use IPv6 for accessing the internet. These IPv6 networks use Neighbor Discovery as defined in RFC 4861 to identify their neighbors on the link and see if they are active. The increase in the complexity of wireless networks and introduction of battery operated devices sets forth notable challenges to certain assumptions in the RFC 4861.
Processors grow more and more complex, even more so in the field of GPUs, where the instruction set, in general, is not publicly available. This enables them to change more rapidly than CPUs, since backwards compatibility is not an issue. In this thesis multiple approaches are investigated for code generation for a clause-based GPU. An optional pre-scheduler is implemented, together with two appro
Education is by the UN stated to be the foundation to creating sustainable development. Lately, there has been a tremendous increase in the use of information and communications technology (ICT) for educational purposes worldwide, but as many countries lag behind both in terms of uptake and usage of ICT, this limits their populations’ chances to participate. Given this, the aim of this thesis was
While perovskite solar cells have become increasingly more efficient and popular, electrical characterisation of the semiconductor properties of perovskites has been limited due to the instability of the material. In this work, multiple approaches for creating such electrical test structures from perovskites are discussed. The chemical processing limitations for perovskites are laid out and common
Thin-Film Transistor (TFT) technology refers to process and manufacture transistors, circuits, Integrated circuits (ICs) using thin-film organic or metal-oxide semiconductors on different substrates, such as flexible plastic foils and rigid glass substrates. TFT technology is attractive and used for applications requiring flexible, ultrathin ICs to enable seamless integration into devices. TFT t
In the last 30 years, a new mobile communications generation has been developed every 7 to 10 years. The last one that is currently under development is the Fifth Generation. This generation aims to fulfill a wide range of requirements for different use cases. To that end, a new radio access technology called New Radio (NR) has been developed. The main design principle behind NR is to allow enoug
This thesis concerns the evaluation of cost functionals on H2 when designing optimal controllers using finite Youla parameterizations and convex optimization. We propose to compute inner products of stable, strictly proper systems via solving Sylvester equations. The properties of different state space realizations of Laguerre filters, when performing Ritz expansions of the optimal controller are
Multiple modern methods of statistical feature extraction and machine learning are applied to classification of encoding and retrieval of episodic memories using electroencephalogram (EEG) recordings. Raw data, different time-frequency methods, and multiclass common spatial patterns are used for statistical feature extraction. For each type of feature extraction multiple machine learning algorithm
Sedan 1970-talet har antalet rapporterade cancerfall dubblerats, dels på grund av förändrade levnadsvanor och dels på grund av bättre screeningmetoder som upptäcker cancern i tidigt skede. Tidig upptäckt av cancern i kombination med utvecklad cancerbehandling har bidragit till att risken för att avlida av cancer har minskat. Cancerbehandling sker huvudsakligen genom operation, strålbehandling elle
Wireless Power Transfer (WPT) technology has experienced phenomenal success in the application of wireless charging of smartphones. With the Qi Specification becoming the dominant standard, wireless charging's convenience goes beyond cable-free charging to facilitate interoperability between chargers and devices from different vendors. For wireless charging to operate correctly, the power tr
Failure often captures public attention, especially in an intelligence context were the consequences can be devastating and the successes are rarely visible. Understanding failure is important if we are to prevent it and both the field of organizational theory and the field of intelligence have been interested in the nature of failure. This study aimed to further the understanding of intelligence
Polymers of N-substituted glycine (NSG) or as they are also called, peptoids, have shown potential in biomedical applications due to proteolytic resistance, among other interesting properties. In this thesis project, two synthetic routes have been performed and evaluated to achieve a better understanding of large-scale syntheses of peptoids as a bioinert coating for nanoparticles. The primary fo
Multiple modern methods of statistical feature extraction and machine learning are applied to classification of encoding and retrieval of episodic memories us- ing electroencephalogram (EEG) recordings. Raw data, different time-frequency methods, and multiclass common spatial patterns are used for statistical feature ex- traction. For each type of feature extraction multiple machine learning algor
Since the purchasing expenditure of many companies is such a large part of the total cost and 99,8 % of companies are classified as Small and Medium Sized Enterprises (SME), one might expect that theories on purchasing strategy would not only be conducted for large companies but also SMEs. In order to fill this gap in theory, this thesis aims to create a purchasing strategy framework for SMEs in t
Many people today possess a private digital photo collection. Such collections are often just chronologically sorted. One way to make photo browsing more interesting would be to suggest semantically related photos to a currently viewed photo, and if, in addition, such a relationship could be justified in words, that would create extra value for the user. To find a solution to this problem, the ap
