Frontiers in Neuroscience, 2020 Stable and efficient coordination in physical human-robot interaction requires consideration of human feedback behavior. In unpredictable tasks, where voluntary cognitive feedback is too slow to guarantee desired task execution, the human must rely on ...
Hendrik Börner +2 more
doaj +1 more source
Adaptive Power Flow Prediction Based on Machine Learning
Energies, 2021 Power flow analysis is an inevitable methodology in the planning and operation of the power grid. It has been performed for the transmission system, however, along with the penetration of the distributed energy resources, the target has been expanded to ...
Jingyeong Park +4 more
doaj +1 more source
Low-parametric Induced Current-Magnetic Resonance Electrical Impedance Tomography for quantitative conductivity estimation of brain tissues using a priori information: a simulation study [PDF]
, 2010 Accurate estimation of the human head conductivity is important for the diagnosis and therapy of brain diseases. Induced Current - Magnetic Resonance Electrical Impedance Tomography (IC-MREIT) is a recently developed non-invasive technique for ...
Crevecoeur, Guillaume +2 more
core +2 more sources
Impedance Acquisition of Proton Exchange Membrane Fuel Cell Using Deeper Learning Network
Energies, 2023 Electrochemical impedance is a powerful technique for elucidating the multi-scale polarization process of the proton exchange membrane (PEM) fuel cell from a frequency domain perspective.
Jiaping Xie +5 more
doaj +1 more source
Real time parameter estimation for power quality control and intelligent protection of grid-connected power electronic converters [PDF]
, 2014 This paper presents a method to identify power system impedance in real-time using signals obtained from grid- connected power electronic converters. The proposed impedance estimation has potential applications in renewable/distributed energy systems ...
Abusorrah, Abdullah +3 more
core +2 more sources
Grid Impedance Estimation Using Several Short-Term Low Power Signal Injections [PDF]
AUT Journal of Electrical Engineering, 2018 In this paper, a signal processing method is proposed to estimate the low and high-frequency impedances of power systems using several short-term low power signal injections for a frequency range of 0-150 kHz.
M. M. AlyanNezhadi +2 more
doaj +1 more source
A Method for Monitoring State-of-Charge of Lithium-Ion Cells Using Multi-Sine Signal Excitation
Batteries, 2021 In this paper, a method for monitoring SoC of a lithium-ion battery cell through continuous impedance measurement during cell operation is introduced.
Jonghyeon Kim, Julia Kowal
doaj +1 more source
Neural control for constrained human-robot interaction with human motion intention estimation and impedance learning [PDF]
, 2018 In this paper, an impedance control strategy is proposed for a rigid robot collaborating with human by considering impedance learning and human motion intention estimation.
He, Wei +4 more
core +1 more source
Low-cost electrochemical impedance spectroscopy system for corrosion monitoring of metallic antiquities and works of art [PDF]
, 1999 Electrochemical impedance spectroscopy (EIS) is recognized to be a powerful and noninvasive technique to test the integrity of protective coatings on memorials, but commercial EIS systems are rather costly though versatile devices. This paper describes a
Angelini, Emma Paola Maria Virginia +5 more
core +1 more source
Practical Characterization of Cell-Electrode Electrical Models in Bio-Impedance Assays [PDF]
, 2018 This paper presents the fitting process followed to adjust the parameters of the electrical model associated to a cell-electrode system in Electrical Cell-substrate Impedance Spectroscopy (ECIS) technique, to the experimental results from cell-culture ...
Daza Navarro, María Paula +7 more
core +1 more source