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It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions. This paper proposes a method to adapt camera parameters according to a normalizing flow-based out-of-distibution detector. A small-scale study is conducted which shows that adapting camera parameters according to this out-of-distibution detector leads to an average increase of 3 to 4% poin
Context: DevOps has recently become a mainstream solution for bridging the gaps between development (Dev) and operations (Ops) enabling cross-functional collaboration. The DevOps concept of continuous monitoring may bring a lot of benefits to development teams such as early detection of run-time errors and various performance anomalies. Objective: We aim to explore deep learning (DL) solutions for
Assertions are one of the most useful automated techniques for checking program’s behaviour and hence have been used for different verification and validation tasks. We provide an overview of the last two decades of research involving ‘assertions’ in software testing. Based on a term–based search, we filtered the inclusion of relevant papers and synthesised them w.r.t. the problem addressed, the s
Background: Estimating excess mortality and years of life lost (YLL) attributed to coronavirus disease 19 (COVID-19) infection provides a comprehensive picture of the mortality burden on society. We aimed to estimate the impact of the COVID-19 pandemic on age- and sex-specific excess mortality and YLL in Sweden during the first 17 months of the pandemic. Methods: In this population-based observati
Background Additional to a child's genetic inheritance, environmental exposures are associated with schizophrenia. Many are broadly described as childhood adversity; modelling the combined impact of these is complex. We aimed to develop and validate a scale on childhood adversity, independent of genetic and other environmental liabilities, for use in schizophrenia risk analysis models, using data
Advanced cellular communication systems provide increased potential for opportunistic high-accuracy positioning. In this paper, long-term evolution (LTE) downlink signals from two commercial base stations (BS) are received by a massive antenna array mounted on a passenger vehicle. Multipath component (MPC) parameters, like delays and angle-of-arrival (AOA) are extracted from the received signals o
Three-dimensional city models are increasingly being used for analyses and simulations. To enable such applications, it is necessary to standardise semantically richer city models and, in some cases, to connect the models with external data sources. In this study, we describe the development of a new Swedish specification for 3D city models, denoted as 3CIM, which is a joint effort between the thr
Purpose: Dichotic speech tests are commonly used in audiological assessments of children with suspected listening difficulties, which may have a range of origins. In Sweden, today, one in four primary schoolchildren has a foreign background, which means that a large proportion of children will be assessed through the medium of a language that they speak at school, but it is not the language they r
Intrinsically disordered proteins (IDPs) have a broad energy landscape and consequently sample many different conformations in solution. The innate flexibility of IDPs is exploited in their biological function, and in many instances allows a single IDP to regulate a range of processes in vivo. Due to their highly flexible nature, characterizing the structural properties of IDPs is not straightforw
Ground-level ozone (O3), formed via complex photochemistry involving nitrogen oxides (NOx) and volatile organic compounds (VOCs), is a critical secondary pollutant and oxidant. Therefore, understanding whether the formation of O3 is NOx- or VOC-limited is essential for effective air quality management. Recently, we demonstrated that the distribution of highly oxygenated organic molecules (HOMs) ca
The proof of the pudding lies in eating, and that is why 6G testbeds are essential in the progress toward the next generation of wireless networks. Theoretical research toward 6G wireless networks proposes advanced technologies to serve new applications and drastically improve energy performance. Testbeds are indispensable to validate these new technologies under more realistic conditions. This ar
The number of degrees of freedom is a crucial parameter in many electromagnetic problems. In for example modern communication systems spatial diversity is often employed through multiple beams to enhance capacity and reliability. However, while the degrees of freedom can be computed, their connection to physical quantities is not as easily understood. To address this issue, this paper proposes a s
Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel,
[Background] The game industry faces fierce competition and games are developed on short deadlines and tight budgets. Continuously testing and experimenting with new ideas and features is essential in validating and guiding development toward market viability and success. Such continuous experimentation (CE) requires user data, which is often limited in early development stages. This challenge is
Aiming for the sixth generation (6G) wireless communications, distributed massive multiple-input multiple-output (MIMO) systems hold significant potential for spatial multiplexing. In order to evaluate the ability of a distributed massive MIMO system to spatially separate closely spaced users, this paper presents an indoor channel measurement campaign. The measurements are carried out at a carrier
δ3-carene is a prominent monoterpene in the atmosphere, contributing significantly to secondary organic aerosol (SOA) formation. However, knowledge about δ3-carene oxidation pathways, particularly regarding their ability to form highly oxygenated organic molecules (HOMs), is still limited. In this study, we present HOM measurements during δ3-carene ozonolysis under various conditions in two simula
Battery-free IoT devices are becoming increasingly interesting for environmental and practical reasons, with ambient backscatter as one of the candidate technologies. We present a class of balanced transmission patterns for ambient backscatter communication (BSC) and evaluate their performance under different signal-to-interference ratios and fading conditions. These patterns allow for bit synchro
In this paper, we develop an uncertainty-aware decision-making and motion-planning method for an autonomous ego vehicle in forced merging scenarios, considering the motion uncertainty of surrounding vehicles. The method dynamically captures the uncertainty of surrounding vehicles by online estimation of their acceleration bounds, enabling a reactive but rapid understanding of the uncertainty chara
This paper gives an overview of the approach of working methods at the Aedas R&D Computational Design and Research [CDR] Group. It first contextualizes research in architectural practice and tries to propose an explanation for the difficulties in implementing it; then explains the evolution of the groups' computing approach from bespoke to heuristic sets of lightweight applications. It conclud
