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Jag ringer mina broder

Ur ” Jag ringer mina bröder” av Jonas Hassen Khemiri Jag ringer mina bröder och säger: Det hände en så sjuk sak nyss. Jag var på väg hem när jag fick syn på en väldigt misstänkt individ. Han hade svart hår och en ovanligt stor ryggsäck och hans ansikte var täckt av en Palestinaschal. Paus. Jag ringer mina bröder och säger: Det tog bråkdelen av en sekund innan jag insåg att det var min spegelbild.

https://www.thm.lu.se/sites/thm.lu.se/files/jag_ringer_mina_broder.pdf - 2026-05-28

Lyapunov analyses for first-order methods : Theory, automation, and algorithm design

This thesis, comprising four research papers, contributes to the field of systematic and computer-aided analyses and design of first-order methods. The first two papers focus on developing new methodologies, while the remaining two apply these techniques to refine complexity and convergence results, as well as to design new methods. A central theme of the work is the use of Lyapunov-type analyses,

Parallel axis split tasks for bounding volume construction with OpenMP®

Many algorithms in computer graphics make use of acceleration structures such as Bounding Volume Hierarchies (BVHs) to speed up performance critical tasks, such as collision detection or ray-tracing. However, while the typical algorithms for constructing BVHs are relatively simple, actually implementing them for performance critical systems is still challenging. Further, to construct them as quick

On the Dynamic Behavior of the Network SIR Epidemic Model

In this article, we study a susceptible–infected–recovered (SIR) epidemic model on a network of n interacting subpopulations. We analyze the transient and asymptotic behavior of the infection dynamics in each node of the network. In contrast to the classical scalar epidemic SIR model, where the infection curve is known to be unimodal (either always decreasing over time, or initially increasing unt

Methods and Tools for Robust Optimal Control of Batch Chromatographic Separation Processes

This contribution concerns the development of generic methods and tools for robust optimal control of high-pressure liquid chromatographic separation processes. The proposed methodology exploits a deterministic robust formulation, that employs a linearization of the uncertainty set, based on Lyapunov differential equations to generate optimal elution trajectories in the presence of uncertainty. Co

Brain Activity in Predictive Sensorimotor Control for Landings: an EEG Pilot Study

Landing from a jump is related to predictive sensorimotor control. Frontal, central and parietal brain areas are known to play a role in this process based on online sensory feedback. This can be measured by EEG. However, there is only limited knowledge about brain activity during predictive preparation for drop landings (DL). The purpose is to demonstrate changes in brain activity in preparation

Randomly Punctured LDPC Codes

In this paper, we present a random puncturing analysis of low-density parity-check (LDPC) code ensembles. We derive a simple analytic expression for the iterative belief propagation (BP) decoding threshold of a randomly punctured LDPC code ensemble on the binary erasure channel (BEC) and show that, with respect to the BP threshold, the strength and suitability of an LDPC code ensemble for random p

Computational analysis and verifications of characteristic modes in real materials

Despite its long history, the Theory of Characteristic Modes has only been utilized in antenna design for perfect electric conductors. This is due to computational problems associated with dielectrics and magnetic materials. In particular, the symmetric form of the PMCHWT surface formulation for the Method of Moments (MoM) solves for both external (real) and internal (non-real) resonances of a str

Effect of Pre-Chamber Volume and Nozzle Diameter on Pre-Chamber Ignition in Heavy Duty Natural Gas Engines

It has previously been shown by the authors that the pre-chamber ignition technique operating with fuel-rich pre-chamber combustion strategy is a very effective means of extending the lean limit of combustion with excess air in heavy duty natural gas engines in order to improve indicated efficiency and reduce emissions. This article presents a study of the influence of pre-chamber volume and nozzl

Impedance Matching for VSC-HVDC Damping Controller Gain Selection

The impedance matching concept is employed in this paper to select the optimum gain of a VSC-HVDC damping controller. The damping controller of the DC link is based on control of active power in proportion to the difference in local frequency at the VSC-HVDC converter stations. To explain impedance matching, the small-disturbance electro-mechanical dynamics of a power system is transformed to an e

Characteristic mode analysis of planar dipole antennas

Planar monopole antennas are popular due to their attractive properties, but their operating mechanisms are still not well understood. Based on image theory, planar monopoles can be analyzed using their dipole counterparts. Here, the bandwidth and radiation pattern of planar dipoles is studied in detail using characteristic mode analysis for different design parameters. The results show that insig

Effect of salt seed particle surface area, composition and phase on secondary organic aerosol mass yields in oxidation flow reactors

Atmospheric particulate water is ubiquitous, affecting particle transport and uptake of gases. Yet, research on the effect of water on secondary organic aerosol (SOA) mass yields is not consistent. In this study, the SOA mass yields of an α-pinene and m-xylene mixture, at a concentration of 60 μgm-3, were examined using an oxidation flow reactor operated at a relative humidity (RH) of 60% and a re

Start of low temperature reactions detection based on motoring pressure prediction for partially premixed combustion

Partially premixed combustion aims to reduce NOx and particulate matter emission without fuel consumption penalty. Low temperature reactions are important for the partially premixed combustion. In the current study, a self-adaptive strategy is introduced to predict the motoring pressure by means of an equivalent isentropic index. The start of the low temperature reactions is detected when the pres

Certifying MIP-Based Presolve Reductions for 0–1 Integer Linear Programs

It is well known that reformulating the original problem can be crucial for the performance of mixed-integer programming (MIP) solvers. To ensure correctness, all transformations must preserve the feasibility status and optimal value of the problem, but there is currently no established methodology to express and verify the equivalence of two mixed-integer programs. In this work, we take a first s

Packet-Type Aware Scheduling of Moldable Streaming Tasks on Multicore Systems with DVFS

We introduce a novel approach for energy-efficient scheduling of data-dependent stream programs with packet types on multicore architectures with voltage and frequency scaling. To have the given application meet specific throughput demands while minimizing energy consumption, we enhance the existing crown scheduling by packet-type dependent parameters. Formulation as an integer linear program gene

Application Specific Instruction-set Processors for Massive MIMO Systems

This is an undeniable fact now that wireless systems pervade all aspects of our lives. These systems are evolving at a rapid clip, connecting more people and devices every single day that goes by. This growth is further fueled by the users’ insatiable appetite for more traffic, be it for online gaming, watching high-fidelity video, downloading huge files, live- streaming and many more uses. With t

FORWARD-BACKWARD SPLITTING WITH DEVIATIONS FOR MONOTONE INCLUSIONS

We propose and study a weakly convergent variant of the forward-backward algorithm for solving structured monotone inclusion problems. Our algorithm features a per-iteration deviation vector, providing additional degrees of freedom. The only requirement on the deviation vector to guarantee convergence is that its norm is bounded by a quantity that can be computed online. This approach offers great