output
19992026
most citedSecondary Frequency and Voltage Control of Islanded Microgrids via Distributed Averaging

976 citations

Showing 2021Show all

81 papers · 1 filter

eess.SP2021

Beamspace MIMO for Satellite Swarms

Maik Röper, Bho Matthiesen, Dirk Wübben +2

Systems of small distributed satellites in low Earth orbit (LEO) transmitting cooperatively to a multiple antenna ground station (GS) are investigated. These satellite swarms have…

eess.SP2021★ 3 cited

Statistics of the Effective Massive MIMO Channel in Correlated Rician Fading

Jens Abraham, Pablo Ramirez-Espinosa, Torbjörn Ekman

Massive MIMO base stations use multiple spatial diversity branches, which are often assumed to be uncorrelated in theoretical work. Correlated branches are considered seldom since…

eess.SY2021★ 35 cited

Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes

Christian Schilling, Marcelo Forets, Sebastian Guadalupe

We study the verification problem for closed-loop dynamical systems with neural-network controllers (NNCS). This problem is commonly reduced to computing the set of reachable state…

cs.NI2021★ 3 cited

No Free Lunch: Balancing Learning and Exploitation at the Network Edge

Federico Mason, Federico Chiariotti, Andrea Zanella

Over the last few years, the DRL paradigm has been widely adopted for 5G and beyond network optimization because of its extreme adaptability to many different scenarios. However, c…

cs.LG2021★ 61 cited

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version

David Campos, Tung Kieu, Chenjuan Guo +4

With the sweeping digitalization of societal, medical, industrial, and scientific processes, sensing technologies are being deployed that produce increasing volumes of time series…

eess.AS2021★ 7 cited

Joint Far- and Near-End Speech Intelligibility Enhancement based on the Approximated Speech Intelligibility Index

Andreas Jonas Fuglsig, Jan Østergaard, Jesper Jensen +3

This paper considers speech enhancement of signals picked up in one noisy environment which must be presented to a listener in another noisy environment. Recently, it has been show…

eess.SY2021★ 31 cited

Edge Computing and Communication for Energy-Efficient Earth Surveillance with LEO Satellites

Marc Martinez-Gost, Israel Leyva-Mayorga, Ana Pérez-Neira +3

Modern satellites deployed in low Earth orbit (LEO) accommodate processing payloads that can be exploited for edge computing. Furthermore, by implementing inter-satellite links, th…

math.NA2021★ 9 cited

Conservative Time Discretization: A Comparative Study

Marcelo Forets, Christian Schilling

We present the first review of methods to overapproximate the set of reachable states of linear time-invariant systems subject to uncertain initial states and input signals for sho…

eess.IV2021★ 19 cited

Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis

Avan Suinesiaputra, Charlene A Mauger, Bharath Ambale-Venkatesh +9

The shape and motion of the heart provide essential clues to understanding the mechanisms of cardiovascular disease. With the advent of large-scale cardiac imaging data, statistica…

cond-mat.mes-hall2021★ 13 cited

Exciton absorption, band structure, and optical emission in biased bilayer graphene

Mikkel Ohm Sauer, Thomas Garm Pedersen

Biased bilayer graphene (BBG) is a variable band gap semiconductor, with a strongly field-dependent band gap of up to , making it of particular interest for grap…

cond-mat.mes-hall2021★ 6 cited

Dynamic polarizability of low-dimensional excitons

Thomas Garm Pedersen

Excitons in low-dimensional materials behave mathematically as confined hydrogen atoms. An appealing unified description of confinement in quantum wells or wires, etc., is found by…

cs.IT2021★ 1 cited

Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices

Anders E. Kalør, Daniel Michelsanti, Federico Chiariotti +2

A central use case for the Internet of Things (IoT) is the adoption of sensors to monitor physical processes, such as the environment and industrial manufacturing processes, where…

cs.LG2021

Active Learning of Markov Decision Processes using Baum-Welch algorithm (Extended)

Giovanni Bacci, Anna Ingólfsdóttir, Kim Larsen +1

Cyber-physical systems (CPSs) are naturally modelled as reactive systems with nondeterministic and probabilistic dynamics. Model-based verification techniques have proved effective…

cs.IT2021★ 31 cited

Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users

Fabio Saggese, Marco Moretti, Petar Popovski

5G technology allows heterogeneous services to share the wireless spectrum within the same radio access network. In this context, spectrum slicing of the shared radio resources is…

cs.GR2021★ 4 cited

Stochastic Rounding for Image Interpolation and Scan Conversion

Olivier Rukundo, Samuel Emil Schmidt

The stochastic rounding (SR) function is proposed to evaluate and demonstrate the effects of stochastically rounding row and column subscripts in image interpolation and scan conve…

physics.space-ph2021★ 14 cited

ADBSat: Verification and validation of a novel panel method for quick aerodynamic analysis of satellites

Luciana Sinpetru, Nicholas H. Crisp, Peter C. E. Roberts +7

We present the validation of ADBSat, a novel implementation of the panel method including a fast pseudo-shading algorithm, that can quickly and accurately determine the forces and…

cs.MS2021★ 18 cited

LazySets.jl: Scalable Symbolic-Numeric Set Computations

Marcelo Forets, Christian Schilling

LazySets.jl is a Julia library that provides ways to symbolically represent sets of points as geometric shapes, with a special focus on convex sets and polyhedral approximations. L…

cs.DC2021★ 20 cited

Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs

Beatriz Soret, Lam D. Nguyen, Jan Seeger +7

An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous devices that can collaboratively execute semi-autonomous IoT applications, examples of which include highly aut…

eess.SY2021★ 118 cited

Generalized Multivariable Grid-Forming Control Design for Power Converters

Meng Chen, Dao Zhou, Ali Tayyebi +3

The grid-forming converter is an important unit in the future power system with more inverter-interfaced generators. However, improving its performance is still a key challenge. Th…

math.OC2021

Safe Dynamic Programming

Rafal Wisniewski, Manuela L. Bujorianu

We incorporate safety specifications into dynamic programming. Explicitly, we address the minimization problem of a Markov decision process up to a stopping time with safety constr…

eess.SP2021★ 85 cited

Machine Learning-Based 3D Channel Modeling for U2V mmWave Communications

Kai Mao, Qiuming Zhu, Maozhong Song +4

Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide flexible link and high data rate for future communication networks. By considering the new features…

eess.SP2021

Polarimetric Room Electromagnetics

Troels Pedersen, Ramoni Adeogun

A polarimetric model for the power delay spectrum for inroom communication is proposed. The proposed model describes the gradual depolarization of the signal with delay. The model…

cs.RO2021★ 23 cited

Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images

Galadrielle Humblot-Renaux, Letizia Marchegiani, Thomas B. Moeslund +1

This work tackles scene understanding for outdoor robotic navigation, solely relying on images captured by an on-board camera. Conventional visual scene understanding interprets th…

cs.NI2021★ 3 cited

Signaling Design for Cooperative Resource Allocation and its Impact to Reliability

Rasmus Liborius Bruun, C. Santiago Morejón García, Troels B. Sørensen +3

Decentralized cooperative resource allocation schemes for robotic swarms are essential to enable high reliability in high throughput data exchanges. These cooperative schemes requi…