Publications associées à Quantification of Equivalent Strut Modeling Uncertainty and Its Effects on the Seismic Performance of Masonry Infilled Reinforced Concrete Frames

Publications associées (17)

Learning Power Flow Models and Constraints from Time-Synchronised Measurements: A Review

Key operational and protection functions of power systems (e.g., optimal power flow scheduling and control, state estimation, protection, and fault location) rely on the availability of models to represent the system's behavior under different operating co ...

Institute of Electrical and Electronics Engineers (IEEE)2025

Maximum size and magnitude of injection-induced slow slip events

Brice Tanguy Alphonse Lecampion, Alexis Alejandro Sáez Uribe

Fluid injections can induce aseismic slip, resulting in stress changes that may propagate faster than pore pressure diffusion, potentially triggering seismicity at substantial distances from injection wells. Constraining the maximum extent of these aseismi ...

American Association for the Advancement of Science (AAAS)2025

How to Support Students to Develop Skills that Promote Sustainability

Siara Ruth Isaac, Joelyn de Lima

Sustainability should be integrated into everything we do, including engineering and student projects. This experiential activity uses the selection of materials for a wind turbine to engage participants in a contextualised negotiation of multiple facets o ...

EPFL2024

Gaussian Process Regression for Seismic Fragility Assessment: Application to Non-Engineered Residential Buildings in Indonesia

Andri Setiawan

Indonesia is located in a high-seismic-risk region with a significant number of non-engineered houses, which typically have a higher risk during earthquakes. Due to the wide variety of differences even among parameters within one building typology, it is d ...

2023

Multi-view Tracking UsingWeakly Supervised Human Motion Prediction

Pascal Fua, Weizhe Liu, Martin Pierre Engilberge

Multi-view approaches to people-tracking have the potential to better handle occlusions than single-view ones in crowded scenes. They often rely on the tracking-by-detection paradigm, which involves detecting people first and then connecting the detections ...

IEEE COMPUTER SOC2023

Catalytic valorization of lignocellulose and its derived feedstocks into fuels and chemicals

Zhaofu Fei

ELSEVIER2023

Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors

Matthias Rottmann

The majority of uncertainty quantification methods for deep object detectors are based on the network output, such as sampling strategies like Monte-Carlo dropout or deep ensembles with straight-forward transfers to object detection. Here, we study gradien ...

IEEE Computer Soc2023

Finite element modeling and behavior of dissipative embedded column base connections under cyclic loading

Dimitrios Lignos, Hiroyuki Inamasu

This paper explores, by means of continuum finite element (CFE) analysis, a recently developed concept that promotes controlled inelastic energy dissipation within the embedded portion of column base connections rather than in steel columns of conventional ...

ELSEVIER SCI LTD2022

Interactive Lab Experimentation and Simulation Tools for Remote Laboratories

Denis Gillet, Christophe Salzmann, Yves Henri Philippe Piguet

New extensions and features to the remote laboratories currently used for undergraduate courses in automatic control laboratory at the School of Engineering of University of Applied Sciences and Arts Western Switzerland are presented. This paper shows how ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Caught in the blind spot of a truck: A choice model on driver glance behavior towards cyclists at intersections

Silvia Francesca Varotto

Vulnerable road users (VRUs) constitute an increasing proportion of the annual road fatalities across Europe. One of the crash types involved in these fatalities are blind spot crashes between trucks and bicyclists. Despite the presence of mandatory blind ...

2022

Toward Super Temporal Resolution by Suppression of Mixing Effects of Electrons

Edoardo Charbon

The theoretical temporal resolution limit of silicon (Si) image sensors is 11.1 ps. The super temporal resolution (STR) is defined as a frame interval less than this limit. The temporal resolution of burst image sensors is significantly affected by ``mixin ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Experimental Determination of Relaxation Rates in a Ramsey-mode Rubidium Cell Atomic Clock

Anja Skrivervik, Maddalena Violetti, Yuanyan Su

We describe a method to measure the relaxation rates in Rubidium (Rb) Pulsed Optically Pumped (POP) vapor cell frequency standards. By means of repeated spectroscopy measurements with varying Ramsey time, we show how to extract multiple estimations of the ...

IEEE2022

An Injectable Family Of Soft Tissue Hydrogel Adhesives For Knee Applications

Dominique Pioletti, Christophe Moser, Pierre-Etienne Bourban, Peyman Karami, Céline Samira Wyss

MARY ANN LIEBERT, INC2022

Platinum Nanostructured Needle-Shaped Sensors for Ion Detection in Biomedical Applications

Sandro Carrara

Ion-selective electrodes (ISEs) represent one of the main technologies for developing sensors to measure ions concentration in human tissues. All-solid-state ISEs are of key importance for sensor miniaturization, especially toward point-of-care application ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Data-driven distributionally robust joint chance-constrained energy management for multi-energy microgrid

Colin Neil Jones, Yuning Jiang

Multi-energy microgrid (MEMG) has the potential to improve the energy utilization efficiency. However, the uncertainty caused by distributed renewable energy resources brings an urgent need for multi-energy co -optimization to ensure secure operation. This ...

2022

Majority-based Design Flow for AQFP Superconducting Family

Giovanni De Micheli, Alessandro Tempia Calvino, Siang-Yun Lee, Dewmini Sudara Marakkalage

Adiabatic superconducting devices are promising candidates to develop high-speed/low-power electronics. Advances in physical technology must be matched with a systematic development of comprehensive design and simulation tools to bring superconducting elec ...

IEEE2022

Spatio-Temporal Graph Neural Networks for Multi-Site PV Power Forecasting

Jelena Simeunovic

Accurate forecasting of solar power generation with fine temporal and spatial resolution is vital for the operation of the power grid. However, state-of-the-art approaches that combine machinelearning with numerical weather predictions (NWP) have coarse re ...

2022