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Reflex-plan : a safety monitoring architecture for thinking fast and slow

Ensuring functional safety is crucial for the deployment of autonomous systems in real-life dynamic environments, as they must operate reliably and safely among humans. However, existing safety systems are designed with a closed-world assumption and can over-constrain the system by shutting down the robot at every safety violation, limiting the robot’s ability to complete its tasks. To address thi

Ectopic pregnancies : laparoscopic versus vNOTES approach. Surgical and obstetric outcomes

Introduction: Extrauterine pregnancy (EP), represents a significant challenge in reproductive medicine, manifesting in approximately 2% of all pregnancies, primarily implanting within the fallopian tubes (95%). Surgery remains a cornerstone in the therapeutic options for ectopic pregnancies. The most common surgical approach at the moment is laparoscopy. However a relatively new surgical technique

3D Hand-Eye Calibration for Collaborative Robot Arm : Look at Robot Base Once

Hand-eye calibration is a common problem in the field of collaborative robotics, involving the determination of the transformation matrix between the visual sensor and the robot flange to enable vision-based robotic tasks. However, this process typically requires multiple movements of the robot arm and an external calibration object, making it both time-consuming and inconvenient, especially in sc

Modelling the impact of anthropogenic aerosols on CCN concentrations over a rural boreal forest environment

The radiative properties of clouds depend partially on the cloud droplet number concentration, which is determined by the concentration of cloud condensation nuclei (CCN) when the clouds are formed. In turn, CCN concentrations are determined by the atmospheric particle size distribution and their chemical composition. We use a novel Lagrangian modelling framework to examine the origins and history

Multidimensional diffusion MRI: a new tool for studying brain microstructure and the effects of learning

Multidimensional diffusion MRI is a promising new MRI approach that has the potential to non-invasively give information about brain microstructure at an unprecedented level of detail. The present contribution briefly reviews the salient features of the novel method, its historical background and differences with conventional methods, as well as the remaining challenges that have to be overcome in

Indoor Positioning using Distributed MIMO : Processing Architecture and FPGA Implementation

Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel,

Pre-release experimentation in indie game development : an interview survey

[Background] The game industry faces fierce competition and games are developed on short deadlines and tight budgets. Continuously testing and experimenting with new ideas and features is essential in validating and guiding development toward market viability and success. Such continuous experimentation (CE) requires user data, which is often limited in early development stages. This challenge is

Formation and temperature dependence of highly oxygenated organic molecules (HOMs) from δ3-carene ozonolysis

δ3-carene is a prominent monoterpene in the atmosphere, contributing significantly to secondary organic aerosol (SOA) formation. However, knowledge about δ3-carene oxidation pathways, particularly regarding their ability to form highly oxygenated organic molecules (HOMs), is still limited. In this study, we present HOM measurements during δ3-carene ozonolysis under various conditions in two simula

A Data-driven Riccati Equation

Certainty equivalence adaptive controllers are analysed using a “data-driven Riccati equation”, corresponding to the model-free Bellman equation used in Q-learning. The equation depends quadratically on data correlation matrices. This makes it possible to derive simple sufficient conditions for stability and robustness to unmodeled dynamics in adaptive systems. The paper is concluded by short rema

Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification

The strategy of pre-training a large model on a diverse dataset, then fine-tuning for a particular application has yielded impressive results in computer vision, natural language processing, and robotic control. This strategy has vast potential in adaptive control, where it is necessary to rapidly adapt to changing conditions with limited data. Toward concretely understanding the benefit of pre-tr

Degrees of Freedom for Radiating Systems

Electromagnetic degrees of freedom are instrumental in antenna design, wireless communications, imaging, and scattering. A large number of degrees of freedom enhance control in antenna design, influencing radiation patterns and directivity, while in communication systems, it links to spatial channels for increased data rates, reliability, and resolution in imaging. The correlation between computed

Optimal Control on Positive Cones

An optimal control problem on finite-dimensional positive cones is stated. Under a critical assumption on the cone, the corresponding Bellman equation is satisfied by a linear function, which can be computed by convex optimization. A separate theorem relates the assumption on the cone to the existence of minimal elements in certain subsets of the dual cone. Three special cases are derived as examp

Attack Stealthiness and Detection of Multiagent Systems : A Zero-Sum Formulation

Cybersecurity has in recent years emerged as a paramount concern in the design and operation of industrial systems and civil infrastructures, due mainly to their susceptibility to malicious cyber attacks which take advantage of the vulnerability of communication networks and IT devices. In this paper, we investigate such an attack and counter attack scenario by considering multiagent systems, a so

A novel framework for classification of selection processes in epidemiological research

Background: Selection and selection bias are terms that lack consistent definitions and have varying meaning and usage across disciplines. There is also confusion in current definitions between underlying mechanisms that lead to selection and their consequences. Consequences of selection on study validity must be judged on a case-by-case basis depending on research question, study design and analy

Understanding dependencies: Why safety, security and sustainability are increasingly challenging for cities and regions

Abstract in UndeterminedThe increasing effectiveness and efficiency of modern society is not only beneficial, but also liable for new or increased vulnerabilities. The seemingly ever-increasing complexity of modern society is in other words bringing new challenges for safety, security and sustainability. At the heart of these challenges lay an incremental increase in dependencies between sectors,

Parallelization of MATLAB for Euro50 integrated modeling

MATLAB and its companion product Simulink are commonly used tools insystems modelling and other scientific disciplines. A cross-disciplinaryintegrated MATLAB model is used to study the overall performance of theproposed 50m optical and infrared telescope, Euro50. However thecomputational requirements of this kind of end-to-end simulation of thetelescope's behaviour, exceeds the capability of an in

Training Regions Research Strategy 2011-2013

Abstract in UndeterminedOur world is changing and cities and regions are increasingly understood not only asplaces, but also as vital hubs in national and global networks, through which people,capital, goods and services flow to ensure the functioning of society, as we know it. Peopleand capital are increasingly concentrated in these hubs, which aside of positive effects onefficiency also is assoc