Publications related to Linear circuit

Graph generative deep learning models with an application to circuit topologies

Modern integrated circuits are tiny yet incredibly complex technological artifacts, composed of millions and billions of individual structures working in unison. Managing their complexity and facilitating their design drove part of the co-evolution of mode ...

EPFL2024

Gate unit for a gate-commutated thyristor and integrated gate-commutated thyristor

Drazen Dujic, Jakub Kucka

The invention relates to a gate unit (22) for controlling a gate commutated thyristor (21), comprising: - a voltage selector (26) for selectively applying a high supply potential (Vpos), a middle supply potential (Vmid), and a low supply potential (Vneg); ...

2023

Instruction-Level Power Side-Channel Leakage Evaluation of Soft-Core CPUs on Shared FPGAs

Mathias Josef Payer, Mirjana Stojilovic, Shashwat Shrivastava, Ognjen Glamocanin, Jinwei Yao, Nour Ardo

Side-channel disassembly attacks recover CPU instructions from power or electromagnetic side-channel traces measured during code execution. These attacks typically rely on physical access, proximity to the victim device, and high sampling rate measuring in ...

2023

Cardiovascular monitoring system

Marco Mattavelli, Catherine Dehollain, Diego Ruben Barrettino, Kerim Türe, Mustafa Besirli

A cardiovascular monitoring system for measuring at least cardiac output comprises an implantable unit (2) configured for placement in a section of artery of a patient and a portable external unit (1) configured for mounting against or close to a patient's ...

2022

Comparison of Two in Pixel Source Follower Schemes for Deep Subelectron Noise CMOS Image Sensors

Christian Enz, Assim Boukhayma, Antonino Caizzone, Andrea Kraxner, Minhao Yang, Daniel Mathias Bold

This paper compares two in-pixel source follower stage designs for low noise CMOS image sensors embedded both on a same 5 mm by 5 mm chip fabricated in a 180 nm CIS process. The presented chip embeds two pixel variants, one based on a body-effect-canceled ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Compact, spatial-mode-interaction-free, ultralow-loss, nonlinear photonic integrated circuits

Tobias Kippenberg, Rui Ning Wang, Xinru Ji, Zheru Qiu, Junqiu Liu, Jijun He

Multi-mode waveguides are ubiquitously used in integrated photonics. Although interaction among different spatial waveguide eigenmodes can induce novel nonlinear phenomena, spatial mode interaction is typically undesired. Adiabatic bends, such as Euler ben ...

NATURE PORTFOLIO2022

Study of the enhanced electricity output of a sliding droplet-based triboelectric nanogenerator for droplet sensor design

Jürgen Brugger, Xia Liu, Wei Xu, Xiaopeng Li

Triboelectric nanogenerators are establishing themselves as promising candidates for realizing high-efficient energy harvesting from largely available droplets. However, the conventional droplet-based liquid-solid triboelectric nanogenerator (DLS-TENG) has ...

Elsevier2022

Further Results on Efficient Implementations of Block Cipher Linear Layers

Subhadeep Banik

At the FSE conference of ToSC 2018, Kranz et al. presented their results on shortest linear programs for the linear layers of several well known block ciphers in literature. Shortest linear programs are essentially the minimum number of 2-input xor gates r ...

2021

Integrated turnkey soliton microcombs

Tobias Kippenberg, Rui Ning Wang, Junqiu Liu, Jijun He, Tianyi Liu, Chao Xiang

Optical frequency combs have a wide range of applications in science and technology(1). An important development for miniature and integrated comb systems is the formation of dissipative Kerr solitons in coherently pumped high-quality-factor optical micror ...

NATURE RESEARCH2020

Autonomous oil flow generated by self-oscillating polymer gels

Vito Cacucciolo

The previously reported gel and polymer actuators require external inputs, such as batteries, circuits, electronic circuits, etc., compared with autonomous motions produced by the living organisms. To realize the spontaneous motions, here, we propose to in ...

Nature Research2020

A Review of Microelectronic Systems and Circuit Techniques for Electrical Neural Recording Aimed at Closed-Loop Epilepsy Control

Alexandre Schmid, Reza Ranjandish

Closed-loop implantable electronics offer a new trend in therapeutic systems aimed at controlling some neurological diseases such as epilepsy. Seizures are detected and electrical stimulation applied to the brain or groups of nerves. To this aim, the signa ...

2020

3D Smith chart constant quality factor semi-circles contours for positive and negative resistance circuits

Mihai Adrian Ionescu, Andrei Müller

The article firstly proves that the constant quality factor (Q) contours for passive circuits, while represented on a 2D Smith chart, form circle arcs on a coaxal circle family. Furthermore, these circle arcs represent semi-circles families in the north he ...

2020

Active Phase-Conjugating Rotman Lens With Reflection Amplifiers for Backscattering Enhancement

Pouyan Keshavarzian

Active retrodirective antenna arrays find a variety of use in applications involving wireless communication and sensing systems. This article presents a novel active version of the phase-conjugating Rotman lens with negative conductance amplifiers for appl ...

Institute of Electrical and Electronics Engineers2020

Aqueous effluent treatment system

Jeremy Luterbacher, Gaël Peng, Frédéric Edouard Juillard, Lionel Bertschy

Aqueous effluent treatment system (2) including a separation reactor (4) having a reactor chamber fluidly connected to an aqueous effluent source (3), connected via a pump (5) to an inlet (34) of the reactor chamber, a fluid extraction system (6) connected ...

2020

More Results on Shortest Linear Programs

Subhadeep Banik

At the FSE conference of ToSC 2018, Kranz et al. presented their results on shortest linear programs for the linear layers of several well known block ciphers in literature. Shortest linear programs are essentially the minimum number of 2-input xor gates r ...

2019

3D Smith charts scattering parameters frequency-dependent orientation analysis and complex-scalar multi-parameter characterization applied to Peano reconfigurable vanadium dioxide inductors

Mihai Adrian Ionescu, Andreas Schueler, Anna Krammer, Josef Andreas Schuler, Junrui Zhang, Montserrat Fernandez-Bolanos Badia, Emanuele Andrea Casu, Matteo Cavalieri, Andrei Müller

Recently, the field of Metal-Insulator-Transition (MIT) materials has emerged as an unconventional solution for novel energy efficient electronic functions, such as steep slope subthermionic switches, neuromorphic hardware, reconfigurable radiofrequency fu ...

Nature Research2019

Low-Power Design of Digital VLSI Circuits around the Point of First Failure

Andrea Bonetti

As an increase of intelligent and self-powered devices is forecasted for our future everyday life, the implementation of energy-autonomous devices that can wirelessly communicate data from sensors is crucial. Even though techniques such as voltage scaling ...

EPFL2019

Training fully connected networks with resistive memories: impact of device failures

Giorgio Cristiano, Massimo Giordano, Martina Bodini

Hardware accelerators based on two-terminal non-volatile memories (NVMs) can potentially provide competitive speed and accuracy for the training of fully connected deep neural networks (FC-DNNs), with respect to GPUs and other digital accelerators. We rece ...

2019

A high sensitivity low-power capacitive front-end for insulin injection pens

Maher Kayal, François Krummenacher, Jean-Baptiste Robert Orhan, François Pierre Gaugaz

A low-power 14-bits first order incremental Analog-to-Digital Converter (ADC) is presented. Based on the charge balancing principle, this switched-capacitor (SC) circuit integrates the input signal multiple times to reach the targeted resolution, linearity ...

ELSEVIER SCI LTD2019

Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification

Christian Enz, Minhao Yang

We present our recent progress in ultra-low-power intelligent acoustic sensing that harnesses the high power and energy efficiency of cochlea-like analog feature extraction and binarized neural network classification. Compared with conventional methods inc ...

IEEE2019