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From Sound to Structure : Robust Localization of Sources, Sensors, and Surroundings

The topic of this thesis is how to infer geometric information using sound data. Achieving this requires solving several subproblems. First, signal processing of the recorded sound is needed to compute measurements of primitive geometric relations. Secondly, robust estimation is needed to go from primitive geometric measurements to more useful higher-level information such as the locations of micr

Reflex-plan : a safety monitoring architecture for thinking fast and slow

Ensuring functional safety is crucial for the deployment of autonomous systems in real-life dynamic environments, as they must operate reliably and safely among humans. However, existing safety systems are designed with a closed-world assumption and can over-constrain the system by shutting down the robot at every safety violation, limiting the robot’s ability to complete its tasks. To address thi

The impact of common and rare genetic variants on bradyarrhythmia development

To broaden our understanding of bradyarrhythmias and conduction disease, we performed common variant genome-wide association analyses in up to 1.3 million individuals and rare variant burden testing in 460,000 individuals for sinus node dysfunction (SND), distal conduction disease (DCD) and pacemaker (PM) implantation. We identified 13, 31 and 21 common variant loci for SND, DCD and PM, respective

Evaluation of a new prediction model for the estimation of risk of obstetrical anal sphincter injuries

Background: Obstetrical anal sphincter injuries are complications of vaginal birth that have the potential to cause substantial maternal morbidity. Predicting these injuries might help to improve maternal care as well as antenatal counseling and patient education. Previous attempts to create prediction models have in many cases involved variables only known postpartum, which limits their use in an

Adaptive multipath-based SLAM for distributed MIMO systems

Localizing users and mapping the environment using radio signals is a key task in emerging applications such as reliable communications, location-aware security, and safety critical navigation. Recently introduced multipath-based simultaneous localization and mapping (MP-SLAM) can jointly localize a mobile agent and the reflective surfaces in radio frequency (RF) environments. Most existing MP-SLA

Posterior Cramér-Rao bounds on localization and mapping errors in distributed MIMO SLAM

Radio-frequency simultaneous localization and mapping (RF-SLAM) methods jointly infer the position of mobile transmitters and receivers in wireless networks, together with a geometric map of the propagation environment. An inferred map of specular surfaces can be used to exploit non-line-of-sight components of the multipath channel to increase robustness, bypass obstructions, and improve overall c

A century of theories of balancing selection

Traits that affect organismal fitness are often highly genetically variable. This genetic variation is vital for populations to adapt to their environments, but it is also surprising given that nature – after all – ‘selects’ the best genotypes at the expense of those that fall short. Explaining the extensive genetic variation of fitness-related traits is thus a longstanding puzzle in evolutionary

Higher hospital level does not improve 30-day survival after road traffic accidents

Globally, road traffic accidents (RTAs) remain a major cause of death, particularly among individuals aged 15–30 years. While Sweden has been at the forefront of traffic safety through the Vision Zero initiative, in-hospital management remains crucial in determining RTA outcomes. Drawing on North American evidence suggesting improved survival at trauma centres, the Swedish healthcare system has in

3D Hand-Eye Calibration for Collaborative Robot Arm : Look at Robot Base Once

Hand-eye calibration is a common problem in the field of collaborative robotics, involving the determination of the transformation matrix between the visual sensor and the robot flange to enable vision-based robotic tasks. However, this process typically requires multiple movements of the robot arm and an external calibration object, making it both time-consuming and inconvenient, especially in sc

The Impact of Semi-supervised Learning on Line Segment Detection

In this paper we present a method for line segment detection in images, based on a semi-supervised framework. Leveraging the use of a consistency loss based on differently augmented and perturbed unlabeled images with a small amount of labeled data, we show comparable results to fully supervised methods. This opens up application scenarios where annotation is difficult or expensive, and for domain

A Wideband Small-Footprint Platform-Insensitive Monopolar Patch Based on Slot-Assisted High-Order Mode Tailoring

A wideband, compact monopolar patch antenna with an inherent filtering response is presented in this paper. By employing a slot-assisted mode-tailoring technique, the field distributions of several higher-order modes at the patch center are engineered to produce a stable monopolar radiation pattern with enhanced bandwidth. The closed-form analysis indicates that increasing the current intensity at

Afterload system design for functional donor heart assessment

Heart transplantation is a life-saving procedure for patients with end-stage heart failure. However, conservative acceptance criteria result in most donated hearts being discarded. Enabling clinicians to assess heart function after organ procurement can pave the way for the safe use of hearts that are currently rejected. This thesis focuses on improving techniques for the direct, controlled assess

Active and Passive Integrated Filters for Multi-GHz 6G Baseband Applications

This paper presents the design and comparison of an active Gm-C and a passive baseband filter for 6G applications. Both presented circuits are 5th-order differential low-pass filters with 3-dB cut-off frequencies of 4.9 and 4.7 GHz, respectively, implemented in a 22 nm FD-SOI CMOS technology. The active filter uses back-gate tuning to optimize the transfer function, and achieves a measured in-band

Highly Hygroscopic Aerosols Facilitate Summer and Early-Autumn Cloud Formation at Extremely Low Concentrations Over the Central Arctic Ocean

Arctic clouds are sensitive to atmospheric particles since these are sometimes in such low concentrations that clouds cannot always form under supersaturated water vapor conditions. This is especially true in the late summer, when aerosol concentrations are generally very low in the high Arctic. The environment changes rapidly around freeze-up as the open waters close and snow starts accumulating

A Technique to Increase the Linearity of the Bootstrapped Switch

We present a detailed investigation into a source of distortion that affects the classic bootstrapped switch. Our analysis reveals that the transition phase between track mode and hold mode is a critical factor in causing the distortion. To address this issue, we propose a novel technique that effectively mitigates the problem. Our results, based on simulations conducted using a 22-nm FDSOI CMOS p

Maternal origin matters : Country of birth as a risk factor for obstetric anal sphincter injuries

Objective: Obstetric anal sphincter injuries (OASIS) are severe complications to vaginal births with potential long-term consequences. Maternal origin has been proposed to affect the overall risk, but the association and underlying explanation are uncertain. The objective was to assess the association between maternal country of birth and OASIS. Methods: A Swedish nationwide cohort study including

Gas-to-Particle Partitioning of Products from Ozonolysis of Δ3-Carene and the Effect of Temperature and Relative Humidity

Formation of oxidized products from Δ3-carene (C10H16) ozonolysis and their gas-to-particle partitioning at three temperatures (0, 10, and 20 °C) under dry conditions (<2% RH) and also at 10 °C under humid (78% RH) conditions were studied using a time-of-flight chemical ionization mass spectrometer (ToF-CIMS) combined with a filter inlet for gases and aerosols (FIGAERO). The Δ3-carene ozonolysis p

An Empirically Grounded Path Forward for Scenario-Based Testing of Autonomous Driving Systems

Testing of autonomous driving systems (ADS) is a crucial, yet complex task that requires different approaches to ensure the safety and reliability of the system in various driving scenarios. Currently, there is a lack of understanding of the industry practices for testing such systems, and also the related challenges. To this end, we conduct a secondary analysis of our previous exploratory study,

Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements

Distributed multiple-input multiple-output (D-MIMO) is a promising technology for simultaneous communication and positioning. However, phase synchronization between multiple access points in D-MIMO is challenging and methods that function without the need for phase synchronization are highly desired. Therefore, we present a method for D-MIMO that performs direct positioning of a moving device base