Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Papier

Publications associées (31)

Reusability assessment of reinforced concrete components prior to deconstruction from obsolete buildings

Corentin Jean Dominique Fivet, Maléna Bastien Masse, Julie Rachel Devènes

A large part of building demolitions is motivated by purely socio-economic reasons. Hence, about-to-be-demolished structures, commonly made of reinforced concrete, very often present no or little degradation. When adaptive reuse of the entire building is n ...

2024

Perturbed Utility Stochastic Traffic Assignment

Rui Yao

This paper develops a fast algorithm for computing the equilibrium assignment with the perturbed utility route choice (PURC) model. Without compromise, this allows the significant advantages of the PURC model to be used in large-scale applications. We form ...

Informs2024

Edible Soft Actuators based on Konjac Glucomannan for Underwater Operation

Dario Floreano, Jun Shintake, Bokeon Kwak, Markéta Pankhurst, Ryo Kanno

Soft robots are being increasingly developed and deployed for underwater applications such as exploration, monitoring, and rescue owing to their innate compliance, mechanical and chemical stability, and waterproof properties. However, they are still predom ...

2024

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Colin Neil Jones, Melanie Nicole Zeilinger, Roland Schwan, Xuan Truong Nghiem

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

IEEE2023

Towards a Radical Housing Responsibility

Luca Giovanni Pattaroni, Ifigeneia Dimitrakou

Responsibility—as an analytic or topic of political debate—is out of vogue in critical housing studies. Rather than offering progressive potential, the call for responsibility has been seen to foster neoliberal governance, racial structural violence, and f ...

2023

Divide-and-conquer one-step simulator for the generation of synthetic households

Michel Bierlaire, Marija Kukic

This paper presents a novel simulation approach for generating synthetic households, addressing several literature gaps from the methodological viewpoint. The generation of hierarchical datasets such as complete households is challenging since it must guar ...

2023

Advances in hydration and thermodynamics of cementitious systems

Karen Scrivener, Aslam Kunhi Mohamed, Fabien Jacques Michel Georget

Optimising the hydration of cementitious materials is crucial to leverage their full potential and avoid wasting resources, embodied energy and CO2. Understanding the fundamental mechanisms is key to reach these objectives. In this paper, we review progres ...

Pergamon-Elsevier Science Ltd2023

Bayes Security: A Not So Average Metric

Carmela González Troncoso, Giovanni Cherubin

Security system designers favor worst-case security metrics, such as those derived from differential privacy (DP), due to the strong guarantees they provide. On the downside, these guarantees result in a high penalty on the system's performance. In this pa ...

IEEE2023

Status of SPIDER beam source after the first 3.5 years of operation

Basile Marie Jacques Pouradier Duteil

SPIDER is the negative ion source testbed for ITER neutral beam injector. It is currently the largest negative ion source ever built, equipped with a 100 keV accelerator, aiming at producing a negative ion beam with an extracted current density in hydrogen ...

2023

Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity

Rachid Guerraoui, Nirupam Gupta, Rafaël Benjamin Pinot, Youssef Allouah, Sadegh Farhadkhani, John Stephan

Byzantine machine learning (ML) aims to ensure the resilience of distributed learning algorithms to misbehaving (or Byzantine) machines. Although this problem received significant attention, prior works often assume the data held by the machines to be homo ...

PMLR2023

Incremental Learning in Diagonal Linear Networks

Raphaël Jean Berthier

Diagonal linear networks (DLNs) are a toy simplification of artificial neural networks; they consist in a quadratic reparametrization of linear regression inducing a sparse implicit regularization. In this paper, we describe the trajectory of the gradient ...

Microtome Publishing2023

Computer-assisted proof of kernel inequalities

Maryna Viazovska

This data set provides a computer-assisted proof for the kernel inequalities needed to prove universal optimality in the paper "Universal optimality of the E_8 and Leech lattices and interpolation formulas" (by Cohn, Kumar, Miller, Radchenko, and Viazovska ...

EPFL Infoscience2023

Lignin, from biomass waste to sustainable materials for food packaging, antiviral coatings and agriculture

Alice Boarino

Our planet has been challenged for years by our reckless use of fossil fuels, which has led to the ongoing climate change and energy crisis. The transition to the use of renewable alternative sources has now became urgent and inevitable. The valorization o ...

EPFL2023

Improving Standard-Cell Design Flow using Factored Form Optimization

Giovanni De Micheli, Alessandro Tempia Calvino

Factored form is a powerful multi-level representation of a Boolean function that readily translates into an implementation of the function in CMOS technology. In particular, the number of literals in a factored form correlates strongly with the number of ...

IEEE2023

The first Grushin eigenvalue on cartesian product domains

Joachim Stubbe, Luigi Provenzano

In this paper, we consider the first eigenvalue.1(O) of the Grushin operator.G :=.x1 + |x1|2s.x2 with Dirichlet boundary conditions on a bounded domain O of Rd = R d1+ d2. We prove that.1(O) admits a unique minimizer in the class of domains with prescribed ...

WALTER DE GRUYTER GMBH2023

Evaluation of HPK n plus -p planar pixel sensors for the CMS Phase-2 upgrade

Varun Sharma, Alexis Kalogeropoulos, Xin Chen, Rakesh Chawla, Konstantin Androsov, Albert Perez, Alessandro Caratelli

To cope with the challenging environment of the planned high luminosity upgrade of the Large Hadron Collider (HL-LHC), scheduled to start operation in 2029, CMS will replace its entire tracking system. The requirements for the tracker are largely determine ...

Elsevier2023

Ultrafast dynamic switching of optical response based on nonlinear hyperbolic metamaterial platform (vol 30, pg 21634, 2022)

Jiaye Wu

We present an erratum to our previously published work [ "Ultrafast dynamic switching of optical response based on nonlinear hyperbolic metamaterial platform, " Opt. Express 30(12), 21634 (2022).]. The corrections do not affect the results and conclusion o ...

Optica Publishing Group2022

Paper of RILEM TC 282-CCL: mineralogical characterization methods for clay resources intended for use as supplementary cementitious material

Franco Alberto Zunino Sommariva, Ruben Anton Snellings, Alastair Thomas Matthew Marsh

To respond to the rapid introduction and development of calcined clays as supplementary cementitious material (SCM), the toolbox of characterization methods for cementitious materials requires extension to raw clay characterization. Borrowing concepts and ...

SPRINGER2022

A method for the reliable and reproducible precipitation of phase pure high Ca/Si ratio (>1.5) synthetic calcium silicate hydrates (C-S-H)

Karen Scrivener, Paul Bowen, Maya Nicole Harris

Various methods have been developed to synthesize C-S-H; however, these methods have only allowed for the successful production of pure-phase C-S-H with Ca:Si of 1.5 or less. Attempts to form higher Ca:Si ratios by these methods gives C-S-H (Ca:Si 1.5 or l ...

Pergamon-Elsevier Science Ltd2022

On combining denoising with learning-based image decoding

Touradj Ebrahimi, Michela Testolina

Noise is an intrinsic part of any sensor and is present, in various degrees, in any content that has been captured in real life environments. In imaging applications, several pre- and post-processing solutions have been proposed to cope with noise in captu ...

SPIE2022