Sökresultat

Den 13 november 1872 inträffade en extrem översvämning i kustområdena kring Södra Östersjön. Högt vattenstånd i kombination med höga vågor ledde till att cirka 300 personer omkom och fler än 15 000 blev hemlösa. Utmed Skånes kust omkom minst 23 personer, över 100 bostadshus förstördes och hundratals kustfiskare förlorade sin inkomstkälla då båtar och fiskeredskap slogs sönder och drogs ut i havet.On November 13, 1872 an extreme flood occurred in the coastal areas surrounding the South Baltic Sea. An extreme storm surge in combination with high waves caused the death of about 300 people and more than 15,000 people lost their homes. Along the coast of Scania, southern Sweden, at least 23 people were killed and more than 100 houses were destroyed. Hundreds of fishermen lost their source of in

This paper is part of my ongoing doctoral research centered on “Street Art and Cognitive Semiotics: The case of Athens” at the division of Cognitive Semiotics at Lund University. More concretely, in this article, a fresh approach, based on a constructive (verbo-) pictorial argument, is taken to attending the relationship between a cognitive semiotics approach and street art signs in a programmatic

Eye tracking has been used as part of software engineering and computer science research for a long time, and during this time new techniques for machine learning (ML) have emerged. Some of those techniques are applicable to the analysis of eye-tracking data, and to some extent have been applied. However, there is no structured summary available on which ML techniques are used for analysis in diff

Background: In this paper, we share our experiences of using ‘photovoice’ methodology as a way to generate data in intensive care units concerning the place and space of care. We have adapted and modified ‘photovoice’ in researching people's lived experiences of ICU. Researching lived experiences in an intensive care context is challenging because of the complex nature of critical care. Aim: This

The Storage Location Assignment Problem (SLAP) has a significant impact on the efficiency of warehouse operations. We propose a multi-phase optimizer for the SLAP, where the quality of an assignment is based on distance estimates of future-forecasted order-picking. Candidate assignments are first sampled using a Markov Chain accept/reject method. Order-picking Traveling Salesman Problems (TSPs) ar

The main purpose of this brief reflection is to examine the relationship between (a) Muslim communal values of neighborliness, mutual support and responsibility for those living together in a defined, spacial community and b)the built environment and structures of mosques and community gathering spaces, with a focus on how the existence of such a built environment and infrastructure helps to devel

Massive multiple-input multiple-output (MIMO) plays an important role in beyond 5G systems to support high data rate and low latency, especially operating at millimeter-wave frequency bands. In traditional software-based simulators, the simulation time increases exponentially with the number of base station antennas and served users. We propose a hardware-in-loop simulator that combines the flexib

Introduction: Temporal co-ordination between speech and gestures has been thoroughly studied in natural production. In most cases gesture strokes precede or coincide with the stressed syllable in words that they are semantically associated with.Methods: To understand whether processing of speech and gestures is attuned to such temporal coordination, we investigated the effect of delaying, preposin

Massive multiple-input multiple-output (MIMO) technology will continue playing an important role in beyond 5G wireless systems. Fully digital beamforming at the millimeter wave (mmWave) spectrum enables applications that require high data rates and low latency. This paper investigates the development and deployment of mmWave massive MIMO systems in an in-flight cabin environment, from both system

The Storage Location Assignment Problem (SLAP) is of central importance in warehouse operations. An important research challenge lies in generalizing the SLAP such that it is not tied to certain order-picking methodologies, constraints, or warehouse layouts. We propose the OBP-based SLAP, where the quality of a location assignment is obtained by optimizing an Order Batching Problem (OBP). For the

High-precision localization and machine learning (ML) are envisioned to be key technologies in future wireless systems. This paper presents an ML pipeline to solve localization tasks. It consists of multiple parallel processing chains, each trained using a different fingerprint to estimate the position of the user equipment. In this way, ensemble learning can be utilized to fuse all chains to impr

High-precision cellular-based localization is one of the key technologies for next-generation communication systems. In this paper, we investigate the potential of applying machine learning (ML) to a massive multiple-input multiple-output (MIMO) system to enhance localization accuracy. We analyze a new ML-based localization pipeline that has two parallel fully connected neural networks (FCNN). The

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

Most work implies the use of digital systems and tools, thus, digital technology plays a vital role in modern work environments. Even so, ergonomics and usability of IT systems and digital tools used at work are often weak, which causes work-related health problems including physical, visual, cognitive, and stress-related issues. We pose that one important reason for these types of issues is the l