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This paper presents NMCu-CNN, a near-memory computing (NMC) co-processor for the hardware acceleration of convolutional neural networks (CNNs) on a low-power, flexible MCU platform. The scalable architecture and the selected platform enable adaptability to the rapidly evolving Edge AIoT landscape, where energy and performance requirements are constrained. Application-tailored NMC units, equipped w
In this paper, we provide the following simple equivalent condition for a nonsymmetric Algebraic Riccati Equation to admit a stabilizing cone-preserving solution: an associated coefficient matrix must be stable. The result holds under the assumption that said matrix be cross-positive on a proper cone, and it both extends and completes a corresponding sufficient condition for nonnegative matrices i
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
Network coherence generally refers to the emergence of simple aggregated dynamical behaviors, despite heterogeneity in the dynamics of the subsystems that constitute the network. In this paper, we develop a general frequency domain framework to analyze and quantify the level of network coherence that a system exhibits by relating coherence with a low-rank property of the system's input–output resp
We present an explicit solution to the discrete-time Bellman equation for minimax optimal control of positive systems under unconstrained disturbances. The primary contribution of our result relies on deducing a bound for the disturbance penalty, which characterizes the existence of a finite solution to the problem class. Moreover, this constraint on the disturbance penalty reveals that, in scenar
The automotive domain is becoming increasingly complex through the integration of new technologies. As a result, cybersecurity is recognized as a pressing issue. This study focuses on the ISO/SAE 21434:2021 standard for road vehicles cybersecurity engineering, evaluating the effectiveness of the standard’s risk assessment approach. The standard suggests a set of assessment steps, and previous rese
The problem of substructure characteristic modes is developed using a scattering matrix-based formulation, generalizing subregion characteristic mode decomposition to arbitrary computational tools. It is shown that the modes of the scattering formulation are identical to the modes of the classical formulation based on the background Green’s function for lossless systems under conditions where both
Conventional Quality of Service(QoS) measurements are incapable to meet the demand for analysing communication performance on timeliness of information in Industrial Control Networks with many connected subsystems. The Age of Information (AoI) and the Age of Actuation (AoA) give a promise to be a solution. Many recent research articles cover theoretical aspects and analyse performance characterist
The semiconductor industry is pivotal to Europe's economy, especially within the industrial and automotive sectors. However, Europe faces a significant shortfall in chip design capabilities, marked by a severe skilled labor shortage and lagging contributions in the design value chain segment. This paper explores the role of European universities and academic initiatives in enhancing chip design ed
This paper presents the exploration of GPU-accelerated block-wise decompositions for zero-forcing (ZF) based QR and Cholesky methods applied to massive multiple-input multiple-output (MIMO) uplink detection algorithms. Three algorithms are evaluated: ZF with block Cholesky decomposition, ZF with block QR decomposition (QRD), and minimum mean square error (MMSE) with block Cholesky decomposition. T
With the growing need to process large volumes of data, edge computing near data collection sources has become increasingly important. However, the resource constraints of edge devices require more efficient data processing techniques. Near-memory computing (NMC) presents an efficient solution, especially for data-intensive applications, by enabling processing that is both energy-efficient and har
In order to avoid extensive machine learning models selection and optimizations, Automated Machine Learning (AutoML) has arisen as a practical and efficient way to apply machine learning to many different application areas. Data poisoning is a real threat to the accuracy of machine learning models in different settings, and it has in recent research studies been shown that the usage of AutoML can
Full-duplex (FD) communication improves spectral efficiency by allowing simultaneous transmission and reception on the same frequency band. This paper analyzes a two-tier network consisting of macrocells and picocells, where base stations (BSs) operate in FD mode while users operate in half-duplex (HD) mode. However, interference remains a major challenge in these systems, significantly impacting
A multi-variable adaptive controller is derived as the explicit solution to a minimax dynamic game. The minimizing player selects the control action as a function of past state measurements and inputs. The maximizing player selects disturbances and model parameters for the underlying linear time-invariant dynamics. This leads to a Bellman equation that can be solved explicitly for the case with un
Page 1 of 2 Department of Biology Education- Bachelor's and Master's level COURSE ANALYSIS Date 2024-03-06 Main Teacher: Lars Råberg Number of students: 36 + omreg Number of answers: 23 Grades (inkl omreg): 1st exam:14 G, 17 VG, 6 U 2nd exam: 6 G, 2U Course Analysis: Immunology BIOR85 autumn 2023 Summary of the course evaluation Overall the students were pleased with the course (grade 4.4). All as
Conference abstracts Content Summary of research abstracts presented during the thematic parallel sessions and poster session. 1. Overarching theme: Knowledge for Sustainable Development 2. Theme I: Knowledge on crisis and resilience in the sustainability context 3. Theme II: Knowledge on communicating uncertainty and ambiguity in sustainability research 4. Theme III: Knowledge about justice and e
Intake of Energy and Protein is Associated with Overweight Risk at Age 5.5 Years: Results from the Prospective TEDDY Study Intake of Energy and Protein is Associated with Overweight Risk at Age 5.5 Years: Results from the Prospective TEDDY Study Andreas Beyerlein1,2, Ulla M. Uusitalo3, Suvi M. Virtanen4,5,6,7, Kendra Vehik3, Jimin Yang3, Christiane Winkler1,2, Mathilde Kersting8, Sibylle Koletzko9
https://www.teddy.lu.se/sites/teddy.lu.se/files/2021-11/71%2010262018_679_71_MP111_Beyerlein_Obesity_2017.pdf - 2026-07-18
nutrients Article Daily Intake of Milk Powder and Risk of Celiac Disease in Early Childhood: A Nested Case-Control Study Elin M. Hård af Segerstad 1, Hye-Seung Lee 2, Carin Andrén Aronsson 1 ID , Jimin Yang 2, Ulla Uusitalo 2, Ingegerd Sjöholm 3, Marilyn Rayner 3 ID , Kalle Kurppa 4, Suvi M. Virtanen 5, Jill M. Norris 6, Daniel Agardh 1,* ID and on behalf of the TEDDY Study Group 1 The Diabetes an
