Filtyp
Feedforward control loops are used in numerous applications to correct process variables. While feedforward control loops correct process variables according to the expected behavior of a system at any given setpoint, feedback loops require measurements of the output to correct deviations from the setpoint. At MAX IV, a generic multi-dimensional input and output feedforward controller was implemen
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
Recent methods on privacy-preserving image-based localization use a random line parameterization to protect the privacy of query images and database maps. The lifting of points to lines effectively drops one of the two geometric constraints traditionally used with point-to-point correspondences in structure-based localization. This leads to a significant loss of accuracy for the privacy-preserving
Introduction: Analysis of an individual’s immunoglobulin (IG) gene repertoire requires the use of high-quality germline gene reference sets. When sets only contain alleles supported by strong evidence, AIRR sequencing (AIRR-seq) data analysis is more accurate and studies of the evolution of IG genes, their allelic variants and the expressed immune repertoire is therefore facilitated. Methods: The
In this paper, we present a novel algorithmic and hardware co-design approach specifically tailored for efficient 2D convolution implementations, a crucial operation in convolutional neural networks (CNNs). Our method addresses the limitations of existing software-based solutions and hardware-based architectures, delivering significant improvements in asymptotic behavior for generic convolution ca
Beyond-5G wireless communication systems will feature advanced, key technologies such as large intelligent surfaces (LISs) composed of a very large number of antenna elements. The concomitant tremendous data rate requirements, due to the communication between these antennas, necessitate careful algorithm-architecture codesign. This paper presents an application-specific integrated circuit (ASIC) a
Based on the results of an on-going monitoring program of 1612 MHz OH masers in OH/IR stars, we determined a lifetime encompassing late AGB and early post-AGB evolution of at least 4500 years. Fading of the OH masers observed with the Nançay Radio Telescope is detected in several post-AGB OH/IR stars on timescales of decades, while AllWISE/NEOWISE light curves taken almost in parallel show diverse
The anticipated continuation of the last three decades of growth of global demand for high-speed high-coverage mobile data, calls for massive investments in cellular infrastructure, for the ongoing roll out of the fifth generation of mobile systems, but also later for the sixth generation. A key enabler, for the high-speed part, is for the cellular system to move up in frequency and support commun
The main purpose of this brief reflection is to examine the relationship between (a) Muslim communal values of neighborliness, mutual support and responsibility for those living together in a defined, spacial community and b)the built environment and structures of mosques and community gathering spaces, with a focus on how the existence of such a built environment and infrastructure helps to devel
Sport-related concussion (SRC) is a serious injury in youth team sports, including handball. While research on the prevention of SRC has made progress over the past 5 years, prevention strategies are lacking in handball. The aim was to explore and develop strategies focusing on information, rules and training that may prevent concussion in youth handball by incorporating knowledge from experts and
High-fidelity numerical simulations of partial differential equations (PDEs) given a restricted computational budget can significantly limit the number of parameter configurations considered and/or time window evaluated. Multi-fidelity surrogate modelling aims to leverage less accurate, lower-fidelity models that are computationally inexpensive in order to enhance predictive accuracy when high-fid
Uncertainty quantification (UQ) tasks, such as sensitivity analysis and parameter estimation, entail a huge computational complexity when dealing with input-output maps involving the solution of nonlinear differential problems, because of the need to query expensive numerical solvers repeatedly. Projection-based reduced order models (ROMs), such as the Galerkin-reduced basis (RB) method, have been
A data-driven method combined with the formulations of boundary integral equations is developed for the frequency-domain analysis of parametrized acoustic systems, arising from the spatial discretization of the linear Helmholtz equation. The method derives surrogate models for the approximation of frequency response functions at selected field points via the construction of neural networks with ra
