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This article presents and discusses data from two research methods on journalism in Afghanistan before the Taliban takeover of power in August 2021. News reports from the time of the intra-Afghan peace talks in September 2020 were analyzed using the Peace Journalism model. These were found to be predominantly War Journalism, leaving audiences cognitively primed for violent conflict responses and l
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Aims: To illuminate patients' experiences of being cared for and nurses' experiences of caring for patients in a multiple-bed hospital room. Background: Many patients and healthcare personnel seem to prefer single-bed hospital rooms. However, certain advantages of multiple-bed hospital rooms (MBRs) have also been described. Method: Eight men and eight women being cared for in a multiple-bedroom
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AI Lund lunch seminar: Democratising data analysis with AI
AI Lund lunch seminar: Democratising data analysis with AI
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Convolutional neural networks (CNNs) have made rapid progress in the last years and in fields, such as computer vision, they are considered state-of-the-art. However, CNNs are very computationally intensive. This makes them challenging to use in embedded devices such as smartphones, security cameras and cars. This thesis investigates different neural network compression techniques to see which wi
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Convolutional neural networks (CNNs) have gained popularity in recent years due to their ability to solve complex problems in areas such as image recognition, natural language processing, and speech recognition. However, the computational cost and memory requirements of CNNs are significant challenges for their widespread deployment, particularly in edge devices where power and area budgets are li
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During the last decade there has been a surge of smart devices on markets around the world. The latest trend is devices that can be worn, so called wearable devices. As for other mobile devices, effective localization are of great interest for many different applications of these devices. However they are small and usually set a high demand on energy efficiency, which makes traditional localizatio
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Designing hardware using High Level Synthesis automates parts of the digital hardware design process. By automating the process control is passed from the designer to the tool, thus it is highly important that the tool generates high performance hardware in terms of area and speed. This thesis explores the tool performance of Vivado HLS using two designs implemented anew with High Level Synthesis
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In this thesis, we presented comparisons with respect to Energy Consumption, bandwidth, the Constraint application protocol (CoAP) transaction time and throughput for four different security protocols. We simulated and implemented the Datagram Transport Layer Protection (DTLS) version 1.2, Transport Layer Protocol (TLS) version 1.2 & 1.3, and Object Protection for Restricted RESTful Environmen
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This paper describes the design of a power efficient microarchitecture for transient fault detection in chip multiprocessors (CMPs) We introduce a new per-core dynamic voltage and frequency scaling (DVFS) algorithm for our architecture that significantly reduces power dissipation for redundant execution with a minimal performance overhead. Using cycle accurate simulation combined with a simple fir
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In this paper we present a novel algorithm for onboard radial distortion correction for unmanned aerial vehicles (UAVs) equipped with an inertial measurement unit (IMU), that runs in real-time. This approach makes calibration procedures redundant, thus allowing for exchange of optics extemporaneously. By utilizing the IMU data, the cameras can be aligned with the gravity direction. This allows us
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In this paper we investigate simultaneous radial distortion calibration and motion estimation for vehicles travelling parallel to planar surfaces. This is done by estimating the inter-image homography between two poses, as well as the distortion parameter. Radial distortion correction is often performed as a pre-calibration step; however, accurately estimating the distortion profile without specia
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An integral equation reformulation of the Maxwell transmission problem is presented. The reformulation uses techniques such as tuning of free parameters and augmentation of close-to-rank-deficient operators. It is designed for the eddy current regime and works both for surfaces of genus 0 and 1. Well-conditioned systems and field representations are obtained despite the Maxwell transmission proble
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In this paper we consider the problem of solving geometric reconstruction problems with the L-infinity-norm. Previous work has shown that globally optimal solutions can be computed reliably for a series of such problems. The methods for computing the solutions have relied on the property of quasiconvexity. For quasiconvex problems, checking if there exists a solution below a certain objective valu
