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Computers are increasingly used for implementing controlalgorithms in safety-critical embedded applications, such asengine control, braking control and flight surfacecontrol. Addressing the consequent coupling of control performancewith computer related errors, this paper develops a composite computerdependability/control theory methodology for analyzing the effectsdata errors have on control syst
Nobelpriset i fysik 2023 Fysikern Anne L'Huillier är Lunds universitets första Nobelpristagare. Hon fick Nobelpriset i fysik tillsammans med Pierre Agostini och Ferenc Krausz. År 1987 gjorde Anne L'Huillier en banbrytande upptäckt. Genom att skicka infrarött laserljus genom en ädelgas kunde hon se ett stort antal olika så kallade övertoner av ljus. Dessa uppstod genom att ljuset från lasern växelv
https://www.lu.se/forskning/nobelpris - 2026-07-06
The overall aim of the current project is to investigate the possibility of using people's mobile phones to locate people in a tunnel environment, both during normal operation and during an emergency. As part of the project, a technology for locating people based on Wi-Fi communication between access points in a tunnel and the user's mobile phone is investigated. To examine the precision of the lo
A common and growing issue in scientific research and industry is that of storing and sharing ever-increasing datasets. In this paper we document the development and applications of Baler - a Machine Learning based tool for tailored compression of data across multiple disciplines.
Fundamental to regulatory guidelines is to identify chemicals that are implicated with adverse human health effects and inform public health risk assessors about “acceptable ranges” of such environmental exposures (e.g., from consumer products and pesticides). The process is made more difficult when accounting for complex human exposures to multiple environmental chemicals. Herein we propose a new
Background: As technology is advancing, so are the possibilities for new data collection methods in research, potentially improving data quality and validity of the results. In Sweden, a system using frequent repeated data collection using text messages, SMS Track, has been used in clinical research for more than a decade. In this paper, compliance with repeated text message questions was examined
Network theory can be employed in two ways in archaeology: it can be used to analyse archaeological data, or it can be used to model a historical process for the purpose of simulating the data. This paper focuses on the first approach. In such analyses, similar archaeological contexts are often connected to form a similarity network. Similarity is treated as a proxy for social or causal relationsh
Banks hold capital to guard against unexpected surges in losses and long freezes in financial markets. The minimum level of capital is set by banking regulators as a function of the banks’ own estimates of their risk exposures. As a result, a great challenge for both banks and regulators is to validate internal risk models. We show that a large fraction of US and international banks uses contamina
This thesis treats regression analysis when either the dependent or the independent variable is censored. We deal with quantile regression when the dependent variable is censored. Using the independence between the true values and the censoring limits the quantile function for the true values can be rewritten as another quantile function of the observed, censored values, where the quantile value i
Popular Abstract in Swedish Många av dagens stora folksjukdomar, såsom cancer, diabetes och hjärt-kärlsjukdomar, kopplas i allt högre grad samman med olika riskfaktorer som beror på förändringar i arvsmassan. Dessa nya kopplingar har möjliggjorts tack vare den extrema utveckling av genetiska mätmetoder som har skett under de senaste 15 åren. Med de nya metoderna kan förekomsten och aktiviteten hosThis thesis deals with methods for extracting robust and relevant information from high-dimensional data sets, and statistically guided visualization methods for representing the data in an informative and easily accessible way. High-dimensional data sets are becoming increasingly prevalent in many different scientific disciplines. In this thesis, we focus particularly on so called "omics" data. T
Digital elevation models (DEMs) can be captured and analysed by various methods. Elevation capturing with RTK-GPS and airborne laser scanning is presented and evaluated in terms of height accuracy of raw data and interpolated DEMs for study sites in Sweden and Germany. Applications for precision agriculture are based on the connection of land surface and the movement of water in the landscape. Thr
Bias caused by collecting and processing bulk samples is largely independent of what fossil clade or mineral is searched for. Instead, different methods bias the data to a different, frequently very large, degree. Furthermore, biases accumulate with each recovery step, and the sum may be extreme unless appropriate methods to minimize it are employed. The effects depend on what the data are used fo
The before/after study of physiological and biochemical parameters was used to delineate the effects of VDT data entry work on operators. Twenty-nine healthy Chinese students were chosen and divided at random into the simple and the complicated data entry group. The subjects were instructed to work as quickly and correctly as possible according to the 'Data Entry Work Programme’ for 150min. Work p
The accurate processing of complex liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) data from biological samples is a major challenge for metabolomics, proteomics, and related approaches. Here, we present the pipelines and systems for threshold-avoiding quantification (PASTAQ) LC-MS/MS preprocessing toolset, which allows highly accurate quantification of data-dependent acquisit
Storskaliga datacenter utgör en ny energiintensiv industri. Detta examensarbete undersöker datacenters kvalitativa potential att delta i efterfrågestyrning och gör en uppskattning av vilken i vilken storleksordning denna kraftreserv skulle kunna vara i Europa år 2030. En sammanställning av forskning om strategier för grön laststyrning visar att driften av datacenter kan utformas så att elförbrukniLarge-scale data centers are a new energy intensive industry. In this master thesis, the qualitative potential of engaging data centers in future demand-response schemes is assessed, and the magnitude of the power reserve available for this purpose is estimated for Europe 2030. A research survey of green workload management strategies shows that data centers can be operated in a way that aligns th
Vehicles equipped with sensors can participate inmobile crowdsourcing applications. Vehicular Ad Hoc Networks(VANETs) based on Dedicated Short Range Communication(DSRC) are used to carry sensing data. However, multi-hoptransmissions for gathering data to Road Side Units (RSUs) inVANETs suffer from low data rate and long end-to-end delay,which can hardly meet the QoS requirements of delay-sensitive
Data assimilation methods provide a rigorous statistical framework for constraining parametric uncertainty in land surface models (LSMs), which in turn helps to improve their predictive capability and to identify areas in which the representation of physical processes is inadequate. The increase in the number of available datasets in recent years allows us to address different aspects of the model
