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Gaze-control and gaze-assistance in software development tools have so far been explored in the setting of code editing, but other developer activities like code review could also benefit from this kind of tool support.In this paper, we present GANDER, a platform for user studies on gaze-assisted code review. As a proof of concept, we extend the platform with an assistant that highlights name rela
We present a detailed investigation into a source of distortion that affects the classic bootstrapped switch. Our analysis reveals that the transition phase between track mode and hold mode is a critical factor in causing the distortion. To address this issue, we propose a novel technique that effectively mitigates the problem. Our results, based on simulations conducted using a 22-nm FDSOI CMOS p
This paper presents the design and comparison of an active Gm-C and a passive baseband filter for 6G applications. Both presented circuits are 5th-order differential low-pass filters with 3-dB cut-off frequencies of 4.9 and 4.7 GHz, respectively, implemented in a 22 nm FD-SOI CMOS technology. The active filter uses back-gate tuning to optimize the transfer function, and achieves a measured in-band
Semiconductor technology constantly advances, enabling integrated circuits (ICs) with increasingly numerous, faster, and smaller transistors. While this progress offers many benefits, it also presents new challenges, such as tighter margins, wear-outs, and process variations. To effectively tackle these challenges, the conventional approach of using external test instruments during manufacturing t
Distributed multiple-input multiple-output (D-MIMO) is a promising technology for simultaneous communication and positioning. However, phase synchronization between multiple access points in D-MIMO is challenging and methods that function without the need for phase synchronization are highly desired. Therefore, we present a method for D-MIMO that performs direct positioning of a moving device base
Replacing fossil fuels with renewable energy sources, such as offshore wind, is crucial to mitigating climate change. The ambitious federal targets on offshore wind set by the United States’s (US) Biden Administration will, however, increasingly impact the 129 million citizens living within local communities in coastal regions. Achieving social acceptance is therefore critical to reaching the US’
The issue that this study analyses is the assessment of the standardisation effects on SMEs. To address this problem, the purpose of the study was to explore the motivation of Swedish SMEs to acquire management standards introduced by ISO. To gather data, interviews with 3 Swedish SMEs were conducted. The interviews were transcribed and analysed. The collected data and conducted analysis led to th
Skuldtyngd – Unga vuxna och skuldens dimensioner Policy brief #2, januari 2023 Skuldtyngd – Unga vuxna och skuldens dimensioner POLICY BRIEF #4, JAN 2025 | TEMA: ÖVERSKULDSÄTTNING SOM SOCIALT PROBLEM Skuldtyngd – Unga vuxna och skuldens dimensioner Policy brief #4, JAN 2025 | TEMA: Överskuldsättning som socialt problem Skuldtyngd är ett forskningsprojekt som startade 2021 och pågår till och med 20
https://www.soch.lu.se/sites/soch.lu.se/files/2025-01/Skuldtyngd,%20policybrief%204,%20jan%202025.pdf - 2026-07-04
A wideband, compact monopolar patch antenna with an inherent filtering response is presented in this paper. By employing a slot-assisted mode-tailoring technique, the field distributions of several higher-order modes at the patch center are engineered to produce a stable monopolar radiation pattern with enhanced bandwidth. The closed-form analysis indicates that increasing the current intensity at
The saturation of the IJTAG concept and its approval as the IEEE 1687 standard in 2014 has generated a wave of research activities and created demand for a set of appropriate and challenging benchmarks. This paper presents such a set developed by an industrial and academic consortium and constructed in a way that facilitates objective comparison of experimental results across research groups as we
This paper proposes an alternative semi-analytical Fourier modal method adapted for general periodic anisotropic gratings made of dielectrics with moderate to low index profiles corresponding to materials ranging from conventional dielectric 3D printing materials to ceramic materials. The proposed method is closely related to the classical rigorous coupled wave analysis built on scattering matrice
Access to detailed network data is often constrained by access-controlled datasets or by extensive manual labour. Using aerial imagery and a simplified OpenStreetMap road-level graph, a novel approach is proposed to extract lane-level road topology graphs at signalized intersections based on detection of common road objects, classification of lane attributes, and a simultaneous lane-to-lane connec
In order for any learning-based model to be considered reliable, it needs a well-behaved uncertainty or confidence estimate. Most modern neural networks do produce a confidence estimate in the form of their softmax output probability. However, the softmax probability is invalid for out-of-distribution data. Gaussian processes are known to produce a well-behaved confidence estimate that is aware of
At Dagsmosse in south-central Sweden, evidence from well-preserved Mesolithic wetland sites (10,200–7000 cal a BP) demonstrates occupation continuity among Hunter-Gatherer-Fisher (HGF) communities in wetland areas. This study presents detailed environmental reconstructions of the Dagsmosse basin, where Mesolithic fishing and dwelling activities were recorded. Focusing on the Preboreal–Boreal biozo
Variational Mode Decomposition (VMD) is a powerful formalism for the time-scale analysis of vibration signals from rotating machinery. However, its performance is often compromised by complex parameter configuration, where subjective manual tuning leads to mode mixing or information loss. In this study, we present a physics-guided framework that generalizes VMD optimization across diverse operatin
A prerequisite for the design and evaluation of wireless systems is the understanding of propagation channels. While abundant propagation knowledge exists for bands below 6 GHz, the same is not true for millimeter-wave frequencies. In this paper, we present the design, implementation and measurement-based verification of a re-configurable 27.5-29.5 GHz channel sounder. Based on the switched array
The state-of-the-art machine learning techniques come with limited, if at all any, formal correctness guarantees. This has been demonstrated by adversarial examples in the deep learning domain. To address this challenge, here, we propose a scalable robustness verification framework for Deep Neural Networks (DNNs). The framework relies on Linear Programming (LP) engines and builds on decades of adv
