It has been shown that a partially reflective surface (PRS) antenna with a larger reflection magnitude has a higher antenna gain, based on practical design examples. In this paper, PRS antennas with different reflection magnitudes are analyzed using an intuitive ray-tracing model. It is derived that the larger reflection magnitude enables a smaller phase delay and a more uniform magnitude distribu

We propose a novel non-negative spherical relaxation for optimization problems over binary matrices with injectivity constraints, which in particular has applications in multi-matching and clustering. We relax respective binary matrix constraints to the (high-dimensional) non-negative sphere. To optimize our relaxed problem, we use a conditional power iteration method to iteratively improve the ob

We argue that an information exchange between vehicles via the vehicular communications is the foundation for ethical driving. In other words – autonomous vehicles must be cooperative to be able to resolve ethical dilemmas in a multi-vehicle scenario. We show this by exploring the minimal setting of a longitudinal driving in a formation of three vehicles.

An extension of the feedline is often needed when an antenna is integrated with the roof glass of a car. How much the extension affects the antenna performance depends on the type of antenna and feedline used. This paper studies the effects of coplanar waveguide feedline extension on the performance of a circularly-polarized square slot antenna. Simulation results show a general decrease in the an

Sub-THz deployment is challenging due to high propagation losses, necessitating dense deployment. To reduce cost, RF signal can be distributed via plastic fiber to remote radio units to increase coverage area. In this paper, we propose an antenna-in-package concept for the single-layer substrate on low-cost embedded wafer level ball grid array (eWLB) packages. To suppress the distortion in the bro

The success in the adoption of autonomous vehicles is dependent on their ability to solve rarely occurring safety-critical corner cases. Vehicular communications (V2X) aim at improving safety and efficiency of autonomous driving by adding the capability of explicit inter-vehicular information exchange. We argue that V2X enables another important function, namely the support of ethical driving deci

Due to the large amount of accidents negatively affecting the wellbeing of the survivors and their families, a substantial amount of research is conducted to determine the causes of road accidents. This type of data come in the form of non-negative integers and may be modelled using the Poisson regression model. Unfortunately, the commonly used maximum likelihood estimator is unstable when the exp

This chapter explores the interrelationship between neoliberalism and economic inequality through a comparison of Denmark, Finland, Norway and Sweden, using Sweden as a main case and the other three major Nordic countries as comparative cases. The argument is that the relationship between neoliberalism and inequality isn’t a one-way street, but rather a question of mutual determination. NeoliberalThis chapter explores the interrelationship between neoliberalism and economic inequality through a comparison of Denmark, Finland, Norway and Sweden, using Sweden as a main case and the other three major Nordic countries as comparative cases. The argument is that the relationship between neoliberalism and inequality isn’t a one-way street, but rather a question of mutual determination. Neoliberal

This paper considers the estimation of parameters for the Poisson regression model in the presence of high, but imperfect multicollinearity. To mitigate this problem, we suggest using the Poisson Liu Regression Estimator (PLRE) and propose some new approaches to estimate this shrinkage parameter. The small sample statistical properties of these estimators are systematically scrutinized using Monte

In this chapter, I draw on the artwork LAUREN by Lauren Lee McCarthy and the theoretical ideas of algorithmic intimacies and datafication to reveal the messy contradictions of the datafied home. What I term as the concept of algorithmic intimacies is a way to think anew about the intimate relations between subjects, algorithms, and proximities in data.¹ As the analysis aims to surface, these messy

AbstractThis study investigates the establishment and significance of United Nations (UN) Day, October 24, in Swedish primary and secondary schools from 1948 to 1963. This article conceptualizes the celebrations as knowledge rituals, educative events that foreground practices of knowledge-sharing, reinforcing social bonds and enhancing collective understanding. UN Day knowledge rituals combined ce

The classic statistical method for modelling the rates and proportions is the beta regression model (BRM). The standard maximum likelihood estimator (MLE) is used to estimate the coefficients of the BRM. However, this MLE is very sensitive when the regressors are linearly correlated. Therefore, this study introduces a new beta ridge regression (BRR) estimator as a remedy to the problem of instabil

Den här studien tar sin utgångspunkt i Kazuo Ishiguros dystopiska roman Never Let Me Go. Med teoretiskt stöd från Gert Biestas (2011) tre utbildningsdimensioner – kvalificering, socialisering och subjektifiering – samt barndomssociologins dikotomi being och becoming (Jenks 1982; James, Jenks & Prout 1998), analyseras hur romanen förhåller sig till och problematiserar relationen mellan barndom,

In this letter, we demonstrate low-frequency noise (LFN) characterization of an InAs vertical gate-all-around hafnium-zirconium oxide (HZO) ferroelectric field-effect transistor (FeFET). The LFN characteristics are investigated before and after ferroelectric switching for up to 1000 cycles in the FeFET. The evolution of such cycling reveals distinct differences in the LFN for the two polarization

Present work examined the spatio-temporal variability of total column ozone (TCO) using the Copernicus Atmospheric Monitoring Service (CAMS) reanalysis dataset (2005–2020) over the Indian subcontinent. TCO data from CAMS is evaluated against the TCO from the Atmospheric Infrared Sounder (AIRS) satellite dataset using descriptive statistical analysis. CAMS TCO shows better agreement with AIRS TCO w