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Ion Current-Based Knock Detection using Convolutional Neural Networks

Engine knock, an abnormal combustion phenomenon, can lead to significant engine damage and reduced performance in spark-ignited internal combustion engines. Traditional knock detection methods using acoustic sensors are prone to errors and limited by their sensitivity to sensor placement and engine noise. This study employs a Convolutional Neural Network (CNN) to classify knocking events using ion

Lagging fires, their implications for the process industry, test methods, and mitigative actions

Lagging fires, also known as insulation fires, pose significant risks in the process industry, arising from the self-heating of leaked combustible liquids within insulation materials. These fires typically initiate through oxidation, leading to smouldering that can escalate into larger fires or serve as ignition sources for other flammable materials. Statistics from the Swedish Contingency Agency

Reshoring before and during the COVID-19 pandemic in an advanced economy

Purpose: The purpose is to investigate how the coronavirus disease 2019 (COVID-19) pandemic changed relocation behavior in an advanced economy. We compare manufacturing relocations before and during the pandemic to identify differences and similarities over time and between offshoring and backshoring. Design/methodology/approach: We use an exploratory longitudinal trend survey approach with data f

Short-Range Propagation Characteristics in an Ice-Covered Lake

This paper examines the short-range propagation characteristics of sound wave propagation in an ice covered lake experiment. The studied measurements were made in February 2024 in the shallow Song-Hua lake in northern China. The experiment illustrates how the wave propagation notably varies as a function of depth and due to changes in the water temperature, but also how the ice cover influences th

Experimental and Computational Analysis of Mode I Fracture in Wood : Likelihood-based inference and finite element model updating

This thesis covers the estimation of the fracture behaviour of the European wood species Norway spruce and birch. The fracture behavior of wood can be quantified through three material parameters: the stiffness, the strength, and the specific fracture energy. In the present work, these parameters are characterized through two methods.The first method is purely experimental and only estimates one pThis thesis covers the estimation of the fracture behaviour of the European woodspecies Norway spruce and birch. The fracture behavior of wood can be quantifiedthrough three material parameters: the stiffness, the strength, and the specific fractureenergy. In the present work, these parameters are characterized through two methods.The first method is purely experimental and only estimates one para

Incomplete markets as correlated distortions

We argue that capital misallocation arises endogenously due to incompleteconsumption insurance. We model risk-averse entrepreneurs withheterogeneous productivity who face idiosyncratic output shocks and choosehow much capital to rent before uncertainty unfolds. We show that incompletemarkets operate as correlated distortions, leading to a reallocation ofcapital from more to less productive firms r

Students’ Reasons for Absence in First-cycle Engineering Education – an Interview Study

Varför kommer inte studenterna på undervisningen?Många lärare på LTH har frågat sig detta eftersom vi ser en tydlig negativ trend: antalet studenter som närvarar på campusförlagda föreläsningar och övningar i grundutbildningen minskar för varje år som går. Eftersom studentnärvaro länge har setts som en nyckelfaktor för studieframgång, kommer det inte som en överraskning att många inom högre utbildThe importance of attendance in higher education has for decades been stressed forstudent performance. However, student absenteeism has in recent years been a growingconcern globally – including in engineering education. Meanwhile, the educationalenvironment has been influenced by the rise of digital learning resources, acceleratedby distance education during COVID-19 pandemic. The changed behavio

Anthropogenic land-use legacies underpin climate change-related risks to forest ecosystems

Forest ecosystems with long-lasting human imprints can emerge worldwide as outcomes of land-use cessation. However, the interaction of these anthropogenic legacies with climate change impacts on forests is not well understood. Here, we set out how anthropogenic land-use legacies that persist in forest properties, following alterations in forest distribution, structure, and composition, can interac

Risk of tree species decline under aridification

The risk of decline due to climate change varies among different tree species, resulting in both winners and losers. However, quantifying the risk of species decline remains a challenging task, particularly due to regional variability in the rate of climate change. Additionally, the diverse evolutionary histories of species have resulted in a variety of distributions, forms, and functions, leading

Begränsa inte forskningens internationalisering

När världen blir osäkrare krävs ett ökat säkerhetsarbete i Sverige, inklusive inom forsknings- och innovationssektorn. Men hur påverkar det vår konkurrenskraft, vår forskning och dess internationella samarbeten? VI måste se till att forskarsamhället förblir öppet i sund balans mellan öppenhet och säkerhet, skriver Tommy Shih, docent på Lunds universitet och Stefan Östlund, vicerektor på KTH.

Loss and damage in tropical fisheries : a systematic review of people, climate, and fisheries

Climate change loss and damage research and policy includes biodiversity loss as a non-economic loss and damage. Yet there is scant understanding of what is loss and damage in tropical fisheries and how it is measured. We conduct the first systematic review of loss and damage in fisheries. The study uses a qualitative interpretivist values–based lens to examine fishers’ intrinsic, instrumental, an

Evaluation of parameters extracted from tissue residue functions in dynamic susceptibility contrast MRI: Healthy volunteers examined during normal breathing and spontaneous hyperventilation

Dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) is the most common MRI method in clinical environments for assessment of perfusion-related parameters. In this study, special emphasis was placed on the shape of the tissue residue function under different physiological conditions. DSC-MRI-based parameters assumed to reflect arterial delay and cerebral oxygen extraction were obta