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We study and solve the previously unstudied problem of finding both sender and receiver positions from time of arrival (TOA) measurements when there is a difference in dimensionality between the affine subspaces spanned by receivers and senders. Anchor-free TOA network calibration has uses both in sound, radio and radio strength applications. Using linear techniques and requiring only a minimal nu
Fibrin gel structure has been shown to be dependent on the thrombin concentration as well as the rate of thrombin generation. Accordingly, factor VIII (FVIII)and FIX-deficient plasma (hemophilia A and B) form loose fibrin clots with high permeability constants. By adding rFVIIa in vitro to FVIII-deficient plasma containing platelets (frozen and thawed), the fibrin gel permeability constant normali
Structure from sound can be phrased as the problem of determining the position of a number of microphones and a number of sound sources given only the recorded sounds. In this paper we study minimal structure from sound problems in both TOA (time of arrival) and TDOA (time difference of arrival) settings with collinear constraints on e.g. the microphone positions. Three such minimal cases are anal
Description: Python® is a free open-source language and environment that has great potential in scientific computing. Computing with Python presents the programming language in close connection wit mathematical applications. The approach of the book is concept based rather than a systematic introduction to the language. It is written for a mathematical readership and is aimed at students with a ma
In this paper we consider a mobile platform performing partial hand-eye calibration and Simultaneous Localisation and Mapping (SLAM) using images of the floor along with the assumptions of planar motion and constant internal camera parameters. The method used is based on a direct parametrisation of the camera motion, combined with an iterative scheme for determining the motion parameters from inte
This thesis explores the effects of institutional arrangements for innovation in clusters. Clusters have become one of the most popular concepts in innovation policy studies in recent years. They have been ascribed as places with structures that reduce transaction costs, and enable innovation processes due to the prevalence of different types of externalities. The focus of this dissertation is on
Purpose: We evaluated the significance of focal prostate cancer found in sextant biopsies in men participating in a biennial prostate specific antigen (PSA) based screening program. Materials and Methods: In 1995, 10,000 men 50 to 65 years old were randomized to biennial screening with PSA testing. Sextant biopsies were recommended when total PSA was 3 ng/ml or greater at screening rounds 1 and 2,
Aims To describe clinical and demographic characteristics at baseline of a European cohort of adults with congenital heart disease (CHD) and to assess mortality and morbidity in a 5 year follow-up period. Methods and results Data collected as part of the Euro Heart Survey on adult CHD was analysed. This entailed information transcribed from the files of 4110 patients diagnosed with one of eight co
The main idea of this paper is to use distances between camera positions to recover the trajectory of a mobile robot. We consider a mobile platform equipped with a single fixed camera using images of the floor and their associated inter-image homographies to find these distances. We show that under the assumptions that the camera is rigidly mounted with a constant tilt and travelling at a constant
Length and area regularization are commonplace for inverse problems today. It has however turned out to be much more difficult to incorporate a curvature prior. In this paper we propose several improvements to a recently proposed framework based on global optimization. We identify and solve an issue with extraneous arcs in the original formulation by introducing region consistency constraints. The
We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.
Lay judges are used in the Swedish courts to attain a democratic representation of judges, but the system has received criticism for giving weight to political affiliation in a role that ought to be unpolitical. The aim of this study is to investigate politicization of the laymen system through lay judges’ own perspectives of their roles, and their views of the structure of the lay judge system. H
The aim of this thesis is to build an understanding of the current instruments and mechanisms governing global supply chains and to identify the governance gaps in the protection of labour rights. In order to fully understand the implications of globalization on labour law, the thesis undertakes a theoretical framework drawing on transnational labour law perspectives and a conceptual analysis of g
This study aims to describe how pupils' achievement scores can be affected by the school that the pupil goes to and the pupil's well-being. The participants in this study were upper secondary school pupils. The participants were doing their last year in upper secondary school and they are pupils that have reached the age of 18 years. Questionnaires were used for this study. This method ent
It is frustrating for every reasonable human being to observe scenes of exploitation around the world in respect of children, because of their either naivety or vulnerability. It is unacceptable that still in the 21st century, children do not benefit from the protection, attention and love they deserve. An estimated 300 million children worldwide are subject to violence, exploitation and abuse inc
Jump models switch infrequently between states to fit a sequence of data while taking the ordering of the data into account We propose a new framework for joint feature selection, parameter and state-sequence estimation in jump models. Feature selection is necessary in high-dimensional settings where the number of features is large compared to the number of observations and the underlying states d
Understanding the loss surface of neural networks is essential for the design of models with predictable performance and their success in applications. Experimental results suggest that sufficiently deep and wide neural networks are not negatively impacted by suboptimal local minima. Despite recent progress, the reason for this outcome is not fully understood. Could deep networks have very few, if
In this paper we study the problem of estimating receiver and sender positions using time-difference-of-arrival measurements. For this, we use a stratified, two-tiered approach. In the first step the problem is converted to a low-rank matrix estimation problem. We present new, efficient solvers for the minimal problems of this low-rank problem. These solvers are used in a hypothesis and test manne
