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Methods for Optimal Model Fitting and Sensor Calibration

The problem of fitting models to measured data has been studied extensively, not least in the field of computer vision. A central problem in this field is the difficulty in reliably find corresponding structures and points in different images, resulting in outlier data. This thesis presents theoretical results improving the understanding of the connection between model parameter estimation and pos

Political Theologies at the End of the World

This article engages critically with one of the more original and thought-provoking efforts of recent years to respond philosophically to the current predicament of the world: Thomas Lynch’s 2019 study Apocalyptic Political Theology. While agreeing with Lynch that the urgency of our times calls for more radical approaches than cautious dialogue or reformist adaptation, it nonetheless argues that a

Testing variational estimation of process parameters and initial conditions of an earth system model

We present a variational assimilation system around a coarse resolution Earth System Model (ESM) and apply it for estimating initial conditions and parameters of the model. The system is based on derivative information that is efficiently provided by the ESM's adjoint, which has been generated through automatic differentiation of the model's source code. In our variational approach, the length of

Beyond the Politics of Numbness

Against the backdrop of Gaza and Europe’s muted response, this essay reflects on Elad Lapidot’s challenge to recognize the violence hidden in the language of peace.

Emergency Power for Wind Turbine Yaw System - Project initialization tool

The Yaw Power Backup System (YPBS) is a safety system that needs to be incorporated in the Wind Power Plant (WPP) in order to provide emergency power during a power outage. The YPBS enables the Wind Turbine Generator (WTG) to perform a yawing operation in extreme weather conditions. The yawing operation ensures the rotor is aligned with incoming wind, minimizing the acting forces on the blades and

Kommunernas planmonopol - En studie av fem skånska kommuner med bostadsbrist

År 2020 anger 212 av 286 kommuner i Sverige att de har ett underskott på bostäder i kommunen som helhet. Sveriges befolkning ökar och bostadsbeståndet hänger inte med. I studien syftar bostadsbristen till definitionen som är skillnaden mellan vad som kollektivt uppfattas som en godtagbar bostadssituation och det faktiska läget på marknaden. Situationer som inte kollektivt anses vara godtagbara bosThe housing responsibility in Sweden is primarily controlled by the municipalities. The municipalities in Sweden have a monopoly on controlling land use with detailed development plans. The population rises every day and the majority of the Swedish municipalities confirms having lack of housing. This study has been made in order to investigate how five municipalities work with their housing respon

Machine Vision for Road Pavement Applications Bitumen Coverage and Grain Size Estimation

In this thesis some research questions regarding durability and quality of roads has been investigated. The questions are analyzed from an image analysis point of view and aims to be a complement to existing methods for analyzing asphalt. One important factor for the durability of the asphalt layer on roads is the affinity between the stones in the asphalt and the binder that holds the stones tog

TOA sensor network self-calibration for receiver and transmitter spaces with difference in dimension

We study and solve the previously unstudied problem of finding both transmitter and receiver positions using only time of arrival (TOA) measurements when there is a difference in dimensionality between the affine subspaces spanned by receivers and transmitters. Anchor-free TOA network calibration has uses both in radio, radio strength and sound applications, such as calibrating ad hoc microphone a

Local Refinement for Stereo Regularization

Stereo matching is an inherently difficult problem due to ambiguous and noisy texture. The non-convexity and non- differentiability makes local linear (or quadratic) approximations poor, thereby preventing the use of standard local descent methods. Therefore recent methods are predominantly based on discretization and/or random sampling of some class of approximating surfaces (e.g. planes). While

Generalized Boundaries from Multiple Image Interpretations

Boundary detection is a fundamental computer vision problem that is essential for a variety of tasks, such as contour and region segmentation, symmetry detection and object recognition and categorization. We propose a generalized formulation for boundary detection, with closed-form solution, applicable to the localization of different types of boundaries, such as object edges in natural images and

A Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients

Patients waiting for heart transplantation due to a failing heart can get a left ventricular assist device (LVAD) implanted through open chest surgery. The device consists of a pump that pumps blood from the left ventricle into the aorta. To get the correct rotation speed of the pump, the physicians consider a number of measurements as well as a sequence of echocardiographic images. The important

Exploratory study of EEG burst characteristics in preterm infants

In this paper, we study machine learning techniques and features of electroencephalography activity bursts for predicting outcome in extremely preterm infants. It was previously shown that the distribution of interburst interval durations predicts clinical outcome, but in previous work the information within the bursts has been neglected. In this paper, we perform exploratory analysis of feature e

Segmentation of Medical Images, Applications in Echocardiography and Nuclear Medicine

Segmentation is an important task in all kinds of image analysis. In medical image analysis segmentation has a great clinical value since the aim could be to localize organs or pathologies in order to raise the quality of diagnoses. This thesis consists of three papers where different segmentation techniques have been applied to different imaging modalities. In the first paper a full computer assi

AN AUTOMATIC SYSTEM FOR MICROPHONE SELF-LOCALIZATION USING AMBIENT SOUND

In this paper, we develop a system for microphone selflocalization based on ambient sound, without any assumptions on the 3D locations of the microphones and sound sources. We aim at developing a system capable of dealing with multiple moving sound sources. We will show that this is possible given that there are instances where there are only one dominating sound source. In the first step of the s

Shortest Paths with Curvature and Torsion

This paper describes a method of finding thin, elongated structures in images and volumes. We use shortest paths to minimize very general functionals of higher-order curve properties, such as curvature and torsion. Our globally optimal method uses line graphs and its runtime is polynomial in the size of the discretization, often in the order of seconds on a single computer. To our knowledge, we ar

Deep network for the integrated 3D sensing of multiple people in natural images

We present MubyNet - a feed-forward, multitask, bottom up system for the integrated localization, as well as 3d pose and shape estimation, of multiple people in monocular images. The challenge is the formal modeling of the problem that intrinsically requires discrete and continuous computation, e.g. grouping people vs. predicting 3d pose. The model identifies human body structures (joints and limb

EN SMÄLL I HUVUDET ? DONALD DAVIDSON OCH DEN BOKSTAVLIGA METAFORTEORIN

Metaforen har genom historien fängslat filosofer, och redan på Aristoteles tid fördes en diskussion kring metaforens plats i språket och vad metaforer kan tänkas betyda. Innan man börjar undersöka detta bör man nog först och främst stanna till och fråga sig vad en metafor egentligen är. Det finns ett otal metaforer och variationerna är oändliga, men i regel består en metafor av ett eller flera obj

Kategorihantering; ett verktyg för att skapa framtidens ekologiska frukt- och grönthylla?

Titel: Kategorihantering; ett verktyg för att skapa framtidens ekologiska frukt- och grönthylla? Institution: Institutionen för Service Management, Campus Helsingborg, Lunds Universitet Nivå: Magisteruppsats VT 2009. 15 poäng Författare: Martin Lundqvist, Calin Roman och Marcus Stridhammar Handledare: Mikael Bergmasth och Birgitta Olsson Syfte och bidrag: Vårt syfte med studien är följande; att un