Concept

Karl Popper

Publications associées (12)

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Ian Smith, Katrin Beyer, Bryan German Pantoja Rosero, Mathias Christian Haindl Carvallo

Image information about the state of a building after an earthquake, which can be collected without endangering the post-earthquake reconnaissance activities, can be used to reduce uncertainties in response predictions for future seismic events. This paper ...

Springer2024

Physical and unphysical regimes of self-consistent many-body perturbation theory

Riccardo Rossi

In the standard framework of self-consistent many-body perturbation theory, the skeleton series for the self-energy is truncated at a finite order N and plugged into the Dyson equation, which is then solved for the propagator G(N). We consider two examples ...

Scipost Foundation2024

Post-Quantum Succinct Arguments: Breaking the Quantum Rewinding Barrier

Alessandro Chiesa

We prove that Kilian's four-message succinct argument system is post-quantum secure in the standard model when instantiated with any probabilistically checkable proof and any collapsing hash function (which in turn exist based on the post-quantum hardness ...

IEEE COMPUTER SOC2022

Active Learning of Bayesian Probabilistic Movement Primitives

Jean-Marc Odobez, Sylvain Calinon, Hakan Girgin, Thibaut Antoine Kulak

Learning from Demonstration permits non-expert users to easily and intuitively reprogram robots. Among approaches embracing this paradigm, probabilistic movement primitives (ProMPs) are a well-established and widely used method to learn trajectory distribu ...

IEEE2021

Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives

This study proposes a harvesting robot capable of plucking tea leaves without cutting them with blades. To harvest high-quality tea, it is necessary to reproduce the plucking motion of breaking the petiole of the leaf, that is, the complicated human hand m ...

2020

Identification of Train Wheel Flat Accounting for Measurement and Modeling Uncertainties

Ian Smith, Numa Joy Bertola

In railway systems, wear-induced wheel flats (out-of-roundness wheel shape) are among the most common local surface defects. They reduce the train ride comfort, increase fatigue risk and raise safety concerns. A good knowledge of wheel flats (presence and ...

2019

Iterative structural identification framework for evaluation of existing structures

Ian Smith, Romain Pasquier

Evaluation of aging infrastructure has been a world-wide concern for decades due to its economic, ecological and societal importance. Existing structures usually have large amounts of unknown reserve capacity that may be evaluated though structural identif ...

2016

Studies of Sensor Data Interpretation for Asset Management of the Built Environment

Ian Smith

Sensing in the built environment has the potential to reduce asset management expenditure and contribute to extending useful service life. In the built environment, measurements are usually performed indirectly; effects are measured remote from their cause ...

2016

Performance assessment of pressurized fluid-distribution networks

Gaudenz Moser

Pressurized fluid-distribution networks are key strategic elements of infrastructure. Drinking water is a precious resource and will become more and more important with the depletion of reserves. With the growth of the human population, challenges related ...

EPFL2015

Improving Remaining-Fatigue-Life Evaluation Using Data Interpretation

Ian Smith, Yves Sylvain Gilles Reuland, Romain Pasquier

This paper presents a methodology that improves fatigue-performance evaluations using model-based data interpretation. The accuracy of stress-range values is essential for quantifying fatigue damage. These values are usually predicted using physics-based m ...

2013

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