Publications related to Wind data extrapolation and stochastic field statistics estimation via compressive sampling and low rank matrix recovery methods

Related publications (18)

Inkjet-Printed Soft Intelligent Medical Bracelet for Simultaneous Real-Time Sweat Potassium (K+), Sodium (Na+), and Skin Temperature Analysis

Sandro Carrara, Ata Jedari Golparvar, Ali Meimandi

Truly wearable, fully flexible, and multiparametric sweat analysis with soft and socially discrete packaging offers tremendous potential to enable the next generation of noninvasive digital biomarkers analysis. Several examples of miniaturized potentiometr ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Editorial: Structural sensing for asset management

Eugen Brühwiler, Numa Joy Bertola

2023

Differential Evolution and Fuzzy-Logic-Based Predictive Algorithm for V2G Charging Stations

Emilio Maddalena

This work proposes a differential evolution algorithm to control a vehicle-to-grid (V2G) system based on photovoltaic generation and energy cost curves, and constraints associated with the power converters' operation, battery charging strategy, and initial ...

2023

Influence of gravity connections and damper activation forces on the seismic behavior of steel CBF buildings with dissipative floor connectors

Dimitrios Lignos, Martina Paronesso

This paper investigates the influence of typical gravity connections on the seismic demands of steel concentrically braced frame (CBF) buildings with friction dampers as dissipative floor connectors. The investigated connections include (i) typical shear t ...

WILEY2023

Behavioral adaptations to cold environments: A comparative study of active nomadic and modern sedentary lifestyles

Dolaana Khovalyg, Arnab Chatterjee

Modern occupants hardly use their capacity to adapt to the wide range of thermal environments due to living in well-insulated buildings with indoor climatization. However, climate change with associated health hazards necessitates exploring the limits of h ...

PERGAMON-ELSEVIER SCIENCE LTD2023

High-throughput computational solvent screening for lignocellulosic biomass processing

Jeremy Luterbacher, Anastasiia Komarova, Arpa Ghosh

Lignocellulose is one of the most promising renewable bioresources for the production of chemicals. For sustainable and competitive biorefineries, effective valorization of all biomass fractions is crucial. However, current efforts in lignocellulose fracti ...

2023

Evaporating water-cooled methanation reactor for solid-oxide stack-based power-to-methane systems: Design, experiment and modeling

Jan Van Herle, Philippe Aubin

The power-to-methane process using a solid-oxide electrolyser, followed by an exothermic methanation reactor, is effective for the production of an energy carrier (synthesis methane) that can be readily stored and transported at a large scale. A significan ...

ELSEVIER SCIENCE SA2023

Parametric Studies of the EU DEMO Central Solenoid

Pierluigi Bruzzone, Kamil Sedlák, Xabier Sarasola Martin

The Central Solenoid (CS) is at the core of the EU DEMO tokamak, and has a strong impact on the tokamak design and the overall machine size. By ramping its current, the CS generates a change of magnetic flux, which initiates the plasma, and induces and con ...

IEEE Institute of Electrical and Electronics Engineers2023

Development of a magnetic calcium-alginate hydrogel-sphere encapsulated with Fe-Mn-Zr ternary metal composite for heavy metal adsorption

Xinyi Huang

Heavy metal contamination has become one of the greatest global environmental problems. In this study, a magnetic calcium-alginate hydrogel-sphere encapsulated with Fe-Mn-Zr ternary-metal composite (MCHETC) was prepared through a combined co-precipitation ...

2023

Facilitated machine learning for image-based fruit quality assessment

Fernando Perez Cruz

Image-based machine learning models can be used to make the sorting and grading of agricultural products more efficient. In many regions, implementing such systems can be difficult due to the lack of centralization and automation of postharvest supply chai ...

2023

Large-scale benchmarks of the time-warp/graph-theoretical kinetic Monte Carlo approach for distributed on-lattice simulations of catalytic kinetics

Giannis Savva

Motivated by the need to perform large-scale kinetic Monte Carlo (KMC) simulations, in the context of unravelling complex phenomena such as catalyst reconstruction and pattern formation, we extend the work of Ravipati et al. [S. Ravipati, G. D. Savva, I.-A ...

2023

The Wavelet Compressibility of Compound Poisson Processes

Julien René Fageot, Shayan Aziznejad

In this paper, we precisely quantify the wavelet compressibility of compound Poisson processes. To that end, we expand the given random process over the Haar wavelet basis and we analyse its asymptotic approximation properties. By only considering the nonz ...

2022

Development of Kilowatt THz Gyrotrons for Pulsed Dynamic Nuclear Polarization - Cavity Design Code Phaedra -

Stefano Alberti, Jean-Philippe Hogge, Jérémy Genoud

A significant effort has recently been initiated at ETHZ for the development of high frequency, high power, frequency-agile gyrotrons for DNP-NMR spectroscopy. In this context an in house cavity interaction code is under development. In this paper, some de ...

IEEE2022

Distributed model predictive control of buildings and energy hubs

Colin Neil Jones

Model predictive control (MPC) strategies can be applied to the coordination of energy hubs to reduce their energy consumption. Despite the effectiveness of these techniques, their potential for energy savings are potentially underutilized due to the fact ...

ELSEVIER SCIENCE SA2022

Depth Estimation for Egocentric Rehabilitation Monitoring Using Deep Learning Algorithms

Kamiar Aminian

Upper limb impairment is one of the most common problems for people with neurological disabilities, affecting their activity, quality of life (QOL), and independence. Objective assessment of upper limb performance is a promising way to help patients with n ...

MDPI2022

Identification of AC Distribution Networks With Recursive Least Squares and Optimal Design of Experiment

Giancarlo Ferrari Trecate, Pulkit Nahata

The increasing penetration of intermittent distributed energy resources in power networks calls for novel planning and control methodologies which hinge on detailed knowledge of the grid. However, reliable information concerning the system topology and par ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Comprehensive Design-oriented FDSOI EKV Model

Christian Enz, Hung-Chi Han, Antonio D'Amico

The work presents the comprehensive design-oriented EKV model for FDSOI technologies, including the backgate effects and geometry dependence. Despite its simplicity, the model correctly captures not only the dependence of the threshold voltage versus the b ...

IEEE2022

On Analog Silicon Photomultipliers in Standard 55-nm BCD Technology for LiDAR Applications

Edoardo Charbon, Francesco Gramuglia, Myung Jae Lee, Pouyan Keshavarzian, Tommaso Milanese, Jiuxuan Zhao

We present an analog silicon photomultiplier (SiPM) based on a standard 55-nm Bipolar-CMOS-DMOS (BCD) technology. The SiPM is composed of 16 x 16 single-photon avalanche diodes (SPADs) and measures 0.29 x 0.32 mm(2). Each SPAD cell is passively quenched by ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022