Filtyp
The policy used to implement a control algorithm in a real-time system can significantly affect the quality of control. In this paper, we present a method to adapt the controller implementation, with the objective to improve the system’s performance under real-time faults. Our method compensates for missing state updates by adapting the controller parameters according to the number of consecutivel
This letter proposes a co-designed millimeter-wave (mm-wave) and sub-6GHz antenna system. The antenna system consists of four 28GHz mm-wave arrays with reconfigurable radiation patterns and two sub-6GHz antennas fed with two corner capacitive coupling elements (CCEs). Each corner CCE is formed by the connected ground planes of two mm-wave arrays in the shared-aperture configuration. The two CCEs a
Aims: To investigate associations between trust in the healthcare system and all-cause, cardiovascular, cancer and other causes mortality. Study design: Prospective cohort study. Methods: A public health questionnaire was conducted in 2008 in Scania, the southernmost part of Sweden, with a 54.1% participation rate with a postal questionnaire and three reminders. In this study 24,833 respondents we
Contact-rich manipulation tasks remain a hard problem in robotics that requires interaction with unstructured environments. Reinforcement Learning (RL) is one potential solution to such problems, as it has been successfully demonstrated on complex continuous control tasks. Nevertheless, current state-of-the-art methods require policy training in simulation to prevent undesired behavior and later d
This study aimed to disentangle the influence of information status and referential form on the distribution of gestures in sustained discourse. Previous research shows that new/less accessible rather than old/more accessible information, expressed by rich rather than lean referential forms, is more likely to be accompanied by gestures. However, earlier studies have drawn on correlational results.
Automated testing is a safeguard against software regression and provides huge benefits. However, it is yet a challenging subject. Among others, there is a risk that the test cases are too specific, thus making them inefficient. There are many forms of undesirable behaviour that are compatible with a typical program’s specification, that however, harm users. An efficient test should provide most p
This thesis studies two families of methods for finding zeros of finite sums of monotone operators, the first being variance-reduced stochastic gradient (VRSG) methods. This is a large family of algorithms that use random sampling to improve the convergence rate compared to more traditional approaches. We examine the optimal sampling distributions and their interaction with the epoch length. Speci
Cloud computing has quickly grown to become an essential component in many modern-day software applications. It allows consumers, such as a provider of some web service, to quickly and on demand obtain the necessary computational resources to run their applications. It is desirable for these service providers to keep the running cost of their cloud application low while adhering to various perform
Computational methods to understand interactions in bio-complex systems are however limited to time-scales typically much shorter than in Nature. For example, on the nanoscale level, interactions between nanoparticles (NPs)/molecules/peptides and membranes are central in complex biomolecular processes such as membrane-coated NPs or cellular uptake. This can be remedied by the application of e.g. J
The contributions from anions and cations from salt are inseparable in their perturbation of molecular systems by experimental and computational methods, rendering it difficult to dissect the effects exerted by the anions and cations individually. Here we investigate the solvation of a small molecule, caffeine, and its perturbation by monovalent salts from various parts of the Hofmeister series. U
Researchers have envisioned and pioneered data-driven programming assistance for developers based on their interaction with the tools via multiple sensors such as eye trackers, microphones, and AI. However, these new sensors gather sensitive data from programmers, to what extent users can accept them and in what form they may work well are largely unclear. Meanwhile, developer tools such as static
We study optimal seeding problems for binary super-modular network games. The system planner's objective is to design a minimal cost seeding guaranteeing that at least a predefined fraction of the players adopt a certain action in every Nash equilibrium. Since the problem is known to be NP-hard and its exact solution would require full knowledge of the network structure, we focus on approximate so
This is the software artifact for the paper "Efficient Demand Evaluation of Fixed-Point Attributes Using Static Analysis" published in SLE 2024.This artifact supports the evaluation of a new demand-driven algorithm for efficient circular Reference Attribute Grammar evaluation, specifically designed to improve performance of higly circular applications, e.g., dataflow analyses for Java. The artifac
This article considers state estimation of rigid-body dynamics where the positions q are available to measurement but where the angular velocities ̇or accelerations are not available to measurement. Using a stability-oriented approach to model-based design of state estimation for Euler–Lagrange systems and rigid-body dynamics, state estimation based on position measurement is shown to guarantee se
After the COVID-19 pandemic, during which teachers developed a lot of online course material, teachers worldwide are challenged with how to combine online teaching with classroom teaching in an efficient way. This paper presents Discussion seminars, a teaching activity that structures discussions clearly, making it easy for students and teachers to follow the discussion. The paper puts Discussion
Effective preprocessing of electroencephalography (EEG) data is fundamental for deriving meaningful insights. Independent component analysis (ICA) serves as an important step in this process by aiming to eliminate undesirable artifacts from EEG data. However, the decision on which and how many components to be removed remains somewhat arbitrary, despite the availability of both automatic and manua
