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Ll ksmb32 rev160929 0

LL_KSMB32_rev160929 Litteraturlista för Redovisning och ekonomistyrning i serviceverksamheter, 15 hp (KSMB32) Fastställd av styrelsen för institutionen för service management och tjänstevetenskap 2015- 09-09, reviderad 2016-09-29. (Enbart upplagor.) Litteraturlistan börjar gälla 2016-10-01. Ax, Christian, Johansson, Christer & Kullvén, Håkan. (2015). Den nya ekonomistyrningen. Malmö: Liber. [547 s

https://www.ses.lu.se/sites/ses.lu.se/files/ll_ksmb32_rev160929_0.pdf - 2026-06-12

On properties of hydraulic equilibria in district heating networks

District heating networks are an integral part of the energy system in many countries. In future smart energy systems, they are expected to enhance energy flexibility and support the integration of renewable and waste energy sources. An important aspect of these networks is the control of flow rates, which dictates the heat delivered to consumers. This paper concerns the properties of flow rates i

Investigation of relationship between stress and seismic velocities on field scale

A relationship between seismic wave velocities and the stress state of a material have been largely investigated in small scale lab experiments but never on a large field scale. For investigation of this relationship on a larger scale a 3-D seismic array have been built into a full-size railroad embankment model. Using the three component geophones with vertical and horizontal sledgehammer strikes

Time-resolved analysis of nanoparticle composition from alloyed feedstocks

Since its development in the 1980s, spark ablation has been widely used to produce nanoparticles (NPs) in the aerosol phase, effectively eliminating surface contamination common in other generation methods (Schmitt-Ott, 2019). This is a significant advantage, as the surface of NPs plays a crucial role in applications such as sensing and catalysis. Additionally, spark ablation enables the productio

Effect of PEM Fuel Cell Technology Advancement on the Energy Efficiency of a Heavy-Duty Vehicle

Fuel cell hybrid electric vehicles (FCHEVs) are a promising solution for decarbonizing heavy-duty transport by combining hydrogen fuel cells with battery storage to deliver long range, fast refuelling, and high payload capacity. However, many existing simulation models rely on outdated fuel cell parameters, limiting their ability to reflect recent technological improvements and accurately predict

Mitigating Sea Surface Fading with D-MIMO : Experimental Validation

The performance of wireless communications at sea are often limited by fading caused by reflections at the sea surface. The reliability could potentially be improved by employing multiple antennas. We have conducted massive multiple-input multiple-output (MIMO) measurements at sea in order to evaluate the performance. The measurements were conducted at 5.6 GHz with 64 dual-polarized antennas, whic

eduTAP – a Concept and System of Digital Identities for proximity on-site service access

Universities offer a variety of services to students, staff, and affiliates, traditionally managed through physical campus cards. However, increasing mobility requirements and the need for secure, interoperable digital identity solutions call for a modernized approach to service access. This paper introduces eduTAP, an open-source concept and software framework that builds on top of digital wallet

Optimal Sensor Selection for Jammer Identification

Deception jamming is a powerful technique used to disrupt various radar systems. In this work, we propose a novel sensor selection scheme for FDA-MIMO radar systems designed to maximize the likelihood of accurate jammer identification. The approach exploits the inherent delay between a jammer measuring incoming waveforms and its response. This delay induces a slight shift in the perceived distance

LightGlueStick: a Fast and Robust Glue for Joint Point-Line Matching

Lines and points are complementary local features, whose combination has proven effective for applications such as SLAM and Structure-from-Motion. The backbone of these pipelines are the local feature matchers, establishing correspondences across images. Traditionally, point and line matching have been treated as independent tasks. Recently, GlueStick proposed a GNN-based network that simultane-ou

Measuring cohesive law of wood adhesive bonds for engineering of timber joints and products

Accurate prediction of crack growth and strength in glued timber joints and components can be achieved by using cohesive laws in constitutive models. These laws represent the traction-separation relationship that measures the stress transmitted between crack faces in a cohesive zone, and can be obtained directly from experiments. However, studies on measuring the cohesive laws of wood adhesive bon

TinyFoA : Memory Efficient Forward-Only Algorithm for On-Device Learning

Forward-only algorithms offer a promising memory-efficient alternative to Backpropagation (BP) for on-device training. However, state-of-the-art forward-only algorithms, e.g., Forward-Forward (FF), still require a substantial amount of memory during the training process, often exceeding the limits of mobile edge and Internet of Things (IoT) devices. At the same time, existing memory-optimization t

Francesco Palmieri

PhD research project: "Redefining Contemporary Guitar Performance Practice through Spherical Amplification via S.T.OOGE"PhD supervisor: Michael Edward EdgertonInstitution: Malmö Academy of MusicPeriod: November 2023 – October 2027The use of amplification technologies is an integral part of contemporary guitar practice, given the dynamic limitations of the classical guitar and the inherent nature o

https://www.iac.lu.se/research/doctoral-students/francesco-palmieri - 2026-06-11