Publications related to Experimental uncertainty analysis

Wind profiling with LiDARs: detection of boundary layer inhomogeneity and uncertainty analysis

Fernando Porté Agel, Fernando Carbajo Fuertes, Jaime Legerén Álvarez

Wind LiDARs are nowadays a standard tool for the estimation of wind resource because of their ability to measure wind profiles, their reduced cost, the flexibility of their deployment and their ease of use. They allow the measurement of the horizontal wind ...

2015

Study on how underlying uncertainty in the flux values affects metabolic control analysis of optimally grown E. coli

Ljubisa Miskovic, Meriç Ataman, Georgios Fengos, Tuure Eelis Hameri

Large-scale kinetic models of metabolism are essential for understanding and predicting the behavior of cellular systems when subject to perturbations. Despite the advances in experimental measurement technologies, the numerous parameters that are required ...

2015

Exploiting task constraints for self-calibrated brain-machine interface control using error-related potentials

Inaki Asier Iturrate Gil

This paper presents a new approach for self-calibration BCI for reaching tasks using error-related potentials. The proposed method exploits task constraints to simultaneously calibrate the decoder and control the device, by using a robust likelihood functi ...

Public Library of Science2015

Study of Nuclear Decay Data Contribution to Uncertainties in Heat Load Estimations for Spent Fuel Pools

Andreas Pautz, Mathieu Hursin, Hakim Ferroukhi, Alexander Vasiliev

At the Paul Scherrer Institut (PSI), a methodology for nuclear data uncertainty propagation in CASMO-5M (C5M) assembly calculations is under development. This paper presents a preliminary application of this methodology to C5M decay heat calculations. Appl ...

Academic Press Inc Elsevier Science2014

Comparison of Two Approaches for Nuclear Data Uncertainty Propagation in MCNPX for Selected Fast Spectrum Critical Benchmarks

Andreas Pautz, Hakim Ferroukhi, Dimitri Rochman, Tiankai Zhu, Alexander Vasiliev

Nuclear data uncertainty propagation based on stochastic sampling ( SS) is becoming more attractive while leveraging modern computer power. Two variants of the SS approach are compared in this paper. The Total Monte Carlo (TMC) method by the Nuclear Resear ...

Academic Press Inc Elsevier Science2014

Application of the PSI-NUSS Tool for the Estimation of Nuclear Data Related k(eff) Uncertainties for the OECD/NEA WPNCS UACSA Phase I Benchmark

Andreas Pautz, Hakim Ferroukhi, Tiankai Zhu, Alexander Vasiliev

At the Paul Scherrer Institute (PSI), a methodology titled PSI-NUSS is under development for the propagation of nuclear data uncertainties into Criticality Safety Evaluation (CSE) with the Monte Carlo code MCNPX. The primary purpose is to provide a complem ...

Academic Press Inc Elsevier Science2014

Improving Fatigue Evaluations of Structures Using In-Service Behavior Measurement Data

Ian Smith, James-Alexandre Goulet, Romain Pasquier, Claire Acevedo

Conservative models and code practices are usually employed for fatigue-damage predictions of existing structures. Direct in-service behavior measurements are able to provide more accurate estimations of remaining-fatigue-life predictions. However, these e ...

American Society of Civil Engineers2014

Managing Evolving Uncertainty in Trajectory Databases

Saket Sathe, Ho Young Jeung

Modern positioning technologies enable collecting trajectories from moving objects across different locations over time, typically containing time-varying measurement errors of positioning systems. Unfortunately, current models on uncertain trajectories ar ...

Ieee Computer Soc2014

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Experimental uncertainty analysis

Wind profiling with LiDARs: detection of boundary layer inhomogeneity and uncertainty analysis

Robust system identification and model predictions in the presence of systematic uncertainty

Study on how underlying uncertainty in the flux values affects metabolic control analysis of optimally grown E. coli

Exploiting task constraints for self-calibrated brain-machine interface control using error-related potentials

Study of Nuclear Decay Data Contribution to Uncertainties in Heat Load Estimations for Spent Fuel Pools

Comparison of Two Approaches for Nuclear Data Uncertainty Propagation in MCNPX for Selected Fast Spectrum Critical Benchmarks

Application of the PSI-NUSS Tool for the Estimation of Nuclear Data Related k(eff) Uncertainties for the OECD/NEA WPNCS UACSA Phase I Benchmark

Improving Fatigue Evaluations of Structures Using In-Service Behavior Measurement Data

Semi-Automatic Transcription Tool for Ancient Manuscripts

Managing Evolving Uncertainty in Trajectory Databases

Graph Chatbot

Chat with Graph Search

Wind profiling with LiDARs: detection of boundary layer inhomogeneity and uncertainty analysis

Robust system identification and model predictions in the presence of systematic uncertainty

Exploiting task constraints for self-calibrated brain-machine interface control using error-related potentials

Study on how underlying uncertainty in the flux values affects metabolic control analysis of optimally grown E. coli

Managing Evolving Uncertainty in Trajectory Databases

Study of Nuclear Decay Data Contribution to Uncertainties in Heat Load Estimations for Spent Fuel Pools

Application of the PSI-NUSS Tool for the Estimation of Nuclear Data Related k(eff) Uncertainties for the OECD/NEA WPNCS UACSA Phase I Benchmark

Improving Fatigue Evaluations of Structures Using In-Service Behavior Measurement Data

Comparison of Two Approaches for Nuclear Data Uncertainty Propagation in MCNPX for Selected Fast Spectrum Critical Benchmarks

Semi-Automatic Transcription Tool for Ancient Manuscripts