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In multipath routing, maximization of the cardinality K of the disjoint-path set for a given source and destination assuming an upper bound on the differential delay D is one of the key factors enabling its practical applications. In the paper we study such an optimization problem for multipath routing involving maximization of K under the D constraint as the primary objective, and then minimizati
According to the Swedish higher ordinance of education the development of autonomy of PhD students is of high importance. Graduates should be able to formulate new ideas and to independently assess and evaluate scientific results. Therefore it is interesting to investigate how the relationship between student and supervisor impacts the development of autonomy. In this work, we have evaluated the i
OBJECTIVES: Acute aortic dissection type A is a life-threatening condition, warranting immediate surgery. Presentation with sudden chest pain confers a risk of misdiagnosis as acute coronary syndrome resulting in subsequent potent antiplatelet treatment. We investigated the impact of dual antiplatelet therapy (DAPT) on bleeding and mortality using the Nordic Consortium for Acute Type A Aortic Diss
An unbroken digital data flow would save substantial resources in the built environment process. In this study, which is part of a larger Swedish project, data delivery specifications and methods to integrate BIM and geodata are developed and tested with the aim to facilitate such an unbroken data flow. The main focus areas of the study are: (1) specifications that enables building permission appl
In recent years, great progress has been made on the problem of 3D scene reconstruction using depth sensors. On a large scale, these reconstructions look impressive, but often many fine details are lacking due to limitations in the sensor resolution. In this paper we combine two well-known principles for recovery of 3D models, namely fusion of depth images with photometric stereo to enhance the de
In this thesis, we draw inspiration from both classical system identification and modern machine learning in order to solve estimation problems for real-world, physical systems. The main approach to estimation and learning adopted is optimization based. Concepts such as regularization will be utilized for encoding of prior knowledge and basis-function expansions will be used to add nonlinear model
Pairwise comparison of sound and radio signals can be used to estimate the distance between two units that send and receive signals. In a similar way it is possible to estimate differences of distances by correlating two received signals. There are essentially two groups of such methods, namely methods that are robust to noise and reverberation, but give limited precision and sub-sample refinement
Lung cancer is a common cancer type associated with poor prognosis. Even in the group of patients with earlystage tumors, for which curative treatment is possible, lung cancer recurrence is frequent. The aim of this thesis was to investigate the potential prognostic role of mutations in tumor specimens, blood-based proteins and circulating tumor DNA.In study I, we performed EGFR mutation detection
Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated wit
Peak to average power (PAPR) reduction of OFDM signals is critical in order to improve power amplifier (PA) efficiency in base stations. For massive MIMO, the complexity of these methods can become a real bottleneck in implementing low power digital signal processing chains. In this work, we consider an antenna reservation technique, which uses a low complexity clipping method to reduce signal pea
The damping ratio is a key performance measure in systems that can be modelled as networks of masses and springs. We derive a lower bound on this quantity that applies to such networks when the masses are subject to viscous damping. The result allows the size of the damping ratio to be understood as a function of the system parameters. We use this to derive a decentralised criterion which, if sati
Macroalgae cultivation shows potential for the application as emerging feedstock for microbial fermentation to produce biochemicals. However, metal residues in macroalgae might affect the fermentation capacity of relevant microorganisms. This aspect is currently not considered when selecting macroalgae and microorganism species for microbial fermentation. To consider this aspect for selecting viab
An algorithm is said to be certifying if it outputs, together with a solution to the problem it solves, a proof that this solution is correct. We explain how state of the art maximum clique, maximum weighted clique, maximal clique enumeration and maximum common (connected) induced subgraph algorithms can be turned into certifying solvers by using pseudo-Boolean models and cutting planes proofs, an
