Publications associées à Modèle OSI

End-to-end kernel learning via generative random Fourier features

Random Fourier features (RFFs) provide a promising way for kernel learning in a spectral case. Current RFFs-based kernel learning methods usually work in a two-stage way. In the first-stage process, learn-ing an optimal feature map is often formulated as a ...

ELSEVIER SCI LTD2023

Two-layer adaptive signal control framework for large-scale networks combining efficient Max-Pressure and Perimeter Control

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas

This work investigates the benefits of a two-layer adaptive signal control framework combining multi-region perimeter control (PC) with distributed Max Pressure (MP) control in selected network intersections. Motivated by MP’s questionable performance in o ...

2022

Experimental investigations on plunge pool protection measures for Ilarion Dam in Greece

Anton Schleiss, Giovanni De Cesare, Azin Amini, Romain Nathan Hippolyte Merlin Van Mol

Ilarion Dam is a 130 m high earthfill dam at Aliakmon River in northern Greece. The dam was commissioned in 2010. It has two spillway tunnels with ski jumps at the outlets. The two spillways are designed to release a total discharge of 5'500 m3/s during th ...

2022

Exploring the inner workings of the clove hitch knot

Pedro Miguel Nunes Pereira de Almeida Reis, Paul Johanns, Tomohiko Sano, Paul Grandgeorge, Changyeob Baek

We perform a combined experimental and computational investigation of the clove hitch knot. We develop a physical model for the clove hitch by tying an elastic rod onto a rigid cylinder. In the experiments, we characterize the mechanical performance, geome ...

ELSEVIER2022

Breaking Silos to Guarantee Control Stability with Communication over Ethernet TSN

Amir Aminifar

Editor's notes: The cross-layer approach presented in this article involves co-designing a feedback controller's parameters together with the schedule of an Ethernet network used for communicating state information and control signals.-Samarjit Chakraborty ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Bedload transport assessment on a physical model of a large river widening using ultrasonic Doppler velocity measurements

Giovanni De Cesare, Azin Amini, Jean-Noël Saugy

The 3rd correction of the Rhône River is the largest flood protection project in Switzerland so far. Covering a length of 162 km, it aims to protect some 100,000 people and prevent flood damages, which could raise up to 10 billion Swiss francs for major ev ...

ETH Zurich, Laboratory of Food Process Engineering2021

An Open-Source LoRa Physical Layer Prototype on GNU Radio

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Orion Afisiadis, Joachim Tobias Tapparel, Paul Angelin Antoine Mayoraz

LoRa is the proprietary physical layer (PHY) of LoRaWAN, which is a popular Internet-of-Things (IoT) protocol enabling low-power devices to communicate over long ranges. A number of reverse engineering attempts have been published in the last few years tha ...

IEEE2020

The Cost of Scaling a Reliable Interconnection Topology

Rachid Guerraoui, Alexandre David Olivier Maurer

In distributed computing, many papers try to evaluate the message complexity of a distributed system as a function of the number of nodes n. But what about the cost of building the distributed system itself? Assuming that we want to reliably connect n node ...

2020

Physical Layer Aspects of LoRa and Full-Duplex Wireless Transceivers

Orion Afisiadis

Wireless communications are currently faced with two main challenges. The first challenge stems from the enormous number of Internet of Things (IoT) devices that transmit very small amounts of data. The second challenge is the need for ever-increasing data ...

EPFL2020

Regulating the anomalous Hall and Nernst effects in Heusler-based trilayers

Jean-Philippe Ansermet, Haiming Yu, Simon Granville, Sa Tu, Junfeng Hu, Song Liu

Anomalous Hall and anomalous Nernst properties of thin MgO/Co-2Fe0.4Mn0.6Si/Pd stacks with perpendicular magnetic anisotropy (PMA) revealed the presence of the magnetic proximity effect (MPE) in the Pd layer. The MPE is evidenced by nanometer range thickne ...

2020