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In-cylinder pressure measurements serve as the gold standard for combustion diagnostics in Internal Combustion Engines. However, the associated costs render it unfeasible to equip engines with in-cylinder pressure sensors. For spark-ignited engines, using the more affordable in-cylinder ion current measurements as an alternative to the traditional pressure sensors has shown promising results for c
In the rapidly advancing domain of autonomous vehicle technology, the management of intersection traffic emerges as a demanding challenge. This paper describes the development and implementation of a novel testbed designed for the investigation of an autonomous intersection management system (AIMS). The research primarily focuses on the complex coordination required among autonomous vehicles for e
More than ever, Machine Learning (ML) as a subfield of Artificial Intelligence (AI) is on the rise and is finding its way into safety-critical software applications. However, when it comes to quality assurance (QA) and trustworthiness, integrating ML models into software comes with challenges that may not be apparent at first glance. The European Union (EU) aims to tackle this problem with new reg
In this study, we simulate the automatic control of an electric wheelchair for indoor Pac-Man-style navigation using solely thought commands. We delve into the decision-making mechanisms of an operational EEG-based brain computer interface that employs a visual oddball paradigm. We investigate strategies to enhance the efficiency of decision-making processes, aiming to accelerate response times wh
We recently proposed a quantitative group testing (GT) scheme with low-complexity peeling decoding based on low-density parity-check (LDPC) codes. Based on finite length simulations and a density evolution analysis we were able to demonstrate that simple (dv,dc)-regular LDPC codes can be more efficient for GT than existing generalized LDPC (GLDPC) code constructions based on BCH component codes. E
Specular flashes from insect wings are useful for remote diversity assessment, yet their duration limits and constraining factors remain unknown. We studied this using sampling rates in entomological lidar system up to 40 kHz, resolving quick wing flashes down to 130μs duration from 40 m.
In March 2023, the Swedish national Board of Housing, Building and Planning (Boverket) published a proposal for new ventilation rates in Sweden. The supply air should by this be calculated based on an equation using the heated floor area as the main input. It is set as optional to use less ventilation flow if this could be sufficient. However, in a questionnaire to Swedish practitioners within the
This paper presents a novel optimization strategy for fitting the Jiles-Atherton (JA) hysteresis model to experimental stator yoke core loss measurements and locked-rotor IPMSM calculations. The first study aims to identify a single set of JA model parameters that track sample core losses at different magnetization levels at a given frequency: the analytical model is compared with finite element m
Transport electrification in Sweden is moving at a fast pace. Grid impact studies from EVs predominantly consider low-voltage grids. However, as the share of electric cars is rapidly increasing, potential grid impact at higher voltage levels needs to be considered. This paper presents a probabilistic approach to generate aggregated charging profiles for home charging at a sub-transmission grid lev
The physical layer foundations of cell-free massive MIMO (CF-mMIMO) have been well-established. As a next step, researchers are investigating practical and energy-efficient network implementations. This paper focuses on multiple sets of access points (APs) where user equipments (UEs) are served in each set, termed a federation, without inter-federation interference. The combination of federations
Understanding and effectively managing Technical Debt (TD) remains a vital challenge in software engineering. While many studies on code-level TD have been published, few illustrate the business impact of low-quality source code. In this study, we combine two publicly available datasets to study the association between code quality on the one hand, and defect count and implementation time on the o
Robotic systems for manipulation tasks are increasingly expected to be easy to configure for new tasks. While in the past, robot programs were often written statically and tuned manually, the current, faster transition times call for robust, modular and interpretable solutions that also allow a robotic system to learn how to perform a task. We propose the method Behavior-based Bayesian Optimizatio
Research efforts to push the integration density of circuits with technologies that transcend Moore's law have gained significant attention in recent years. This study investigates the silicon area gains of Sequential 3D technology, utilizing the third dimension of integrated circuits by accommodating nMOS and pMOS transistors in two stacked tiers with high-density and low-pitch 3D vias. The effic
Artikeln behandlar fundamentala prestandabegränsningar för strikt kausala tillståndsskattningar hos linjära system som beskrivs av ett ändligt antal modeller. Systemet antas beskrivas korrekt av en av modellerna, men det är okänt vilken av kandidaterna som är korrekt. Vi ger metoder för att beräkna övre- och undre begränsningar på minimax prestanda, defininerad som förstärkningen från störningar tThis article concerns the performance limits of strictly causal state estimation for linear systems with fixed, but uncertain, parameters belonging to a finite set. In particular, we provide upper and lower bounds on the smallest achievable gain from disturbances to the point-wise estimation error. The bounds rely on forward and backward Riccati recursions-one forward recursion for each feasible m
