Publications related to Network analyzer (electrical)

Broadband Air-Coupled Ultrasound Emitter and Receiver Enable Simultaneous Measurement of Thickness and Speed of Sound in Solids

Air-coupled ultrasound sensors have advantages over contact ultrasound sensors when a sample should not become contaminated or influenced by the couplant or the measurement has to be a fast and automated inline process. Thereby, air-coupled transducers mus ...

MDPI2023

Latent Space Slicing for Enhanced Entropy Modeling in Learning-Based Point Cloud Geometry Compression

Touradj Ebrahimi, Davi Nachtigall Lazzarotto

The growing adoption of point clouds as an imaging modality has stimulated the search for efficient solutions for compression. Learning-based algorithms have been reporting increasingly better performance and are drawing the attention from the research com ...

IEEE2022

EMC Impact of Disturbances Generated by Multiple Sources

Farhad Rachidi-Haeri, Marcos Rubinstein, Hamidreza Karami

In this paper, the impact of an increasing number of arbitrary electrical/electronic devices on the overall radiated emissions is investigated. Understanding and quantifying such an impact are prerequisites to the proper evaluation of electromagnetic compa ...

2022

Role of stochastic noise and generalization error in the time propagation of neural-network quantum states

Giuseppe Carleo

Neural-network quantum states (NQS) have been shown to be a suitable variational ansatz to simulate out-of-equilibrium dynamics in two-dimensional systems using timedependent variational Monte Carlo (t-VMC). In particular, stable and accurate time propagat ...

SCIPOST FOUNDATION2022

Analysis of the Effectiveness of the Series Inductor Integration Into the MFT for SST Applications

Drazen Dujic, Marko Mogorovic

This paper analyzes the effectiveness of the integration of the series inductor into the medium frequency transformer used for series resonant or dual active bridge converters - galvanically isolated DC-DC converters for high-power medium-voltage (solid st ...

2020

A scalable, line-independent control design algorithm for voltage and frequency stabilization in AC islanded microgrids

Giancarlo Ferrari Trecate, Michele Tucci

We propose a decentralized control synthesis procedure for stabilizing voltage and frequency in AC Islanded microGrids (ImGs) composed of Distributed Generation Units (DGUs) and loads interconnected through power lines. The presented approach enables Plug- ...

2020

Data driven building of realistic neuron model using IBEA and CMA evolution strategies

Henry Markram, Werner Alfons Hilda Van Geit, Tanguy Pierre Louis Damart

Recently the building of large neuronal circuits from realistic neuron models has gained traction. This bottom-up approach relies on the accurate description of the primitive elements composing the brain such as neurons and astrocytes, that are then aggreg ...

ACM2020

Residual Parameter Transfer for Deep Domain Adaptation

Pascal Fua, Mathieu Salzmann, Artem Rozantsev

The goal of Deep Domain Adaptation is to make it possible to use Deep Nets trained in one domain where there is enough annotated training data in another where there is little or none. Most current approaches have focused on learning feature representation ...

2018

Design of Full-Metal Polarizing Screen Based on Circuit Modeling

Maria Garcia Vigueras

A polarizing sheet based on a fully metallic structure is here reported for the first time. The polarizer consists of a doubly-periodic arrangement of squared-wave guide sections enclosed by two perforated screens. Though the waveguide sections are highly ...

IEEE2018

Total ionizing dose effects on a 28 nm Hi-K metal-gate CMOS technology up to 1 Grad

Chunmin Zhang, Alessandro Pezzotta

This paper presents the results of an irradiation study on single transistors manufactured in a 28 nm high-k commercial CMOS technology up to 1 Grad. Both nMOSFET and pMOSFET transistors have been irradiated and electrical parameters have been measured. Fo ...

2017

On The Robustness of a Neural Network

Rachid Guerraoui, El Mahdi El Mhamdi, Sébastien Louis Alexandre Rouault

With the development of neural networks based machine learning and their usage in mission critical applications, voices are rising against the \textit{black box} aspect of neural networks as it becomes crucial to understand their limits and capabilities. W ...

2017

Sensorless Electroacoustic Absorbers Through Synthesized Impedance Control for Damping Low-Frequency Modes in Cavities

Hervé Lissek, Romain Boulandet, Etienne Thierry Jean-Luc Rivet

This paper presents a concept of sensorless electroacoustic absorber for damping the low-frequency modes in a cavity such as a duct or a room. Taking advantage of the reciprocity of the voice coil transducer, it is shown that a synthetic electrical admitta ...

S Hirzel Verlag2016

RANS computations for identification of 1-D cavitation model parameters: application to full load cavitation vortex rope

François Avellan, Christophe Nicolet, Andres Müller, Sébastien Alligné

Due to the massive penetration of alternative renewable energies, hydropower is a key energy conversion technology for stabilizing the electrical power network by using hydraulic machines at off design operating conditions. At full load, the axisymmetric c ...

International Association For Hydraulic Research2016

Characterization and modeling of nanoscale MOSFET for ultra-low power RF IC design

Maria-Anna Chalkiadaki

The evolution and characteristics of the electronics is directly linked to the technological and societal progress. Today, there is a huge variety of electronic solutions offered, with the RF low-power systems, such as wireless sensor networks, wireless bo ...

EPFL2016

Optimization of low-head hydropower recovery in water supply networks

Irene Almeida Samora

Small scale hydropower is emerging as a decentralized source to satisfy local demand for electricity. The interest in micro-hydropower, which refers to installed power below 100 kW, is increasing since this is a solution with low environmental impact. Wate ...

EPFL2016

Electronic properties of transition-metal dichalcogenides

Andras Kis

Graphene is not the only prominent example of two-dimensional (2D) materials. Due to their interesting combination of high mechanical strength and optical transparency, direct bandgap and atomic scale thickness transition-metal dichalcogenides (TMDCs) are ...

Cambridge Univ Press2015

Separating the impact of oxygen and water on the long-term stability of n-channel perylene diimide thin-film transistors

Klaus Kern, Hagen Klauk, Ralf Thomas Weitz

A detailed understanding for the mechanisms that control degradation of the electrical performance of organic thin-film transistors (TFTs) during exposure to various environments, such as oxygen and humidity, is still developing. This is particularly true ...

Elsevier Science Bv2015

Development of a system for part quality prediction and process parameters adjustment in wire electrical discharge machining

Olcay Akten

In the past decades, wire electric discharge machining (W-EDM) has undergone a number of techno-logical developments aimed at improving its process performance. Still the current practice of W-EDM is not defect-free and results in a number of surface relat ...

EPFL2015

Modal Analysis Applied to the Stability Study of Hydroelectric Systems with Modular Structures

Pedro Camilo de Oliveira e Silva

Power plants experience distinct dynamic behaviors according to the primary source of energy. Whereas thermal power plants have a slow dynamic, modern renewables such as wind and solar PV are subject to very fast variations, due to environmental factors. T ...

EPFL2015

When Can Two Unlabeled Networks Be Aligned Under Partial Overlap?

Matthias Grossglauser, Ehsan Kazemi, Lyudmila Yartseva

Network alignment refers to the problem of matching the vertex sets of two unlabeled graphs, which can be viewed as a generalization of the classic graph isomorphism problem. Network alignment has applications in several fields, including social network an ...

2015