Publications related to Investigating Reliability on Fuel Cell Model Identification. Part II: An Estimation Method for Stochastic Parameters

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

The statistics used in education research are based on central trends such as the mean or standard deviation, discarding outliers. This paper adopts another viewpoint that has emerged in Statistics, called the Extreme Value Theory (EVT). EVT claims that th ...

2017

Rich Vehicle and Inventory Routing Problems with Stochastic Demands

Iliya Dimitrov Markov

This thesis develops a unified framework for modeling and solving various classes of rich routing problems with stochastic demands, including the VRP and the IRP. The work is inspired by the problem of collecting recyclables from sensorized containers in G ...

EPFL2017

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

David Atienza Alonso, Leila Cammoun, Fabio Isidoro Tiberio Dell'Agnola

The use of drones is recently gaining particular interest in the field of search and rescue. However, particular skills are still required to actively operate in a mission without crashing the drone. This limits their effective and efficient employment in ...

2017

Lightning Location Systems and Interstroke Intervals: Effects of Imperfect Detection Efficiency

Marcos Rubinstein, Mohammad Azadifar, Mirjana Stojilovic

Lightning location systems (LLSs) are often used to obtain parameters of lightning flashes. However, the imperfect detection efficiency (DE) of these systems affects the accuracy of the results. In this paper, we focus on the effects of the imperfect DE on ...

Ieee2016

Entrainment,motion, and deposition of coarse particles transported by water over a sloping mobile bed

Christophe Ancey, Joris Heyman

In gravel bed rivers, bed load transport exhibits considerable variability in time and space. Recently, stochastic bed load transport theories have been developed to address the mechanisms and effects of bed load transport fluctuations. Stochastic models i ...

Wiley-Blackwell2016

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

Andreas Pautz, Damar Canggih Wicaksono, Omar Zerkak

The currently adopted practice for uncertainty quantification of thermal-hydraulics code predictions is done through statistical sampling where the code is evaluated multiple times using different values of input parameters that are randomly generated acco ...

2016

Updated braking forces for the assessment of road bridges

João Miguel De Oliveira Durães Alves Martins

Safety assessments of road bridges to braking events combine the braking force, acting along the longitudinal axis of the deck, with a vertical load that accounts for the vertical component of the traffic action. In modern design standards the vertical loa ...

EPFL2016

A characterization of the normal distribution using stationary max-stable processes

Sebastian Engelke

Consider a max-stable process of the form , , where are points of the Poisson process with intensity u (-2)du on (0,a), X (i) , , are independent copies of a random d-variate vector X (that are independent of the Poisson process), and is a function. We sho ...

Springer Verlag2016

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Sohrab Mirshams Shahshahani

We construct a one parameter family of nite time blow ups to the co-rotational wave maps problem from

S^2\times R

to

S^2

parameterized by

\nu \epsilon (\frac{1}{2},1]

. The longitudinal function

u(t,\alpha)

which is the main object of study will be ...

2016

Probability density function of the electric field in diffuse correlation spectroscopy of human bone in vivo

Dimitri Nestor Alice Van De Ville

Diffuse correlation spectroscopy (DCS) is the technique of choice for non-invasive assessments of human bone blood flow. However, DCS classical algorithms are based on the fundamental assumption that the electric field of the light reaching the DCS photode ...

Optical Soc Amer2016

Investigating Reliability on Fuel Cell Model Identification. Part II: An Estimation Method for Stochastic Parameters

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An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

Rich Vehicle and Inventory Routing Problems with Stochastic Demands

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

Lightning Location Systems and Interstroke Intervals: Effects of Imperfect Detection Efficiency

Entrainment,motion, and deposition of coarse particles transported by water over a sloping mobile bed

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

Updated braking forces for the assessment of road bridges

A characterization of the normal distribution using stationary max-stable processes

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Probability density function of the electric field in diffuse correlation spectroscopy of human bone in vivo

Physiological Characterization of Need for Assistance in Rescue Missions with Drones

Lightning Location Systems and Interstroke Intervals: Effects of Imperfect Detection Efficiency

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

Rich Vehicle and Inventory Routing Problems with Stochastic Demands

Bayesian Calibration of Thermal-Hydraulics Model with Time-Dependent Output

Entrainment,motion, and deposition of coarse particles transported by water over a sloping mobile bed

Updated braking forces for the assessment of road bridges

A characterization of the normal distribution using stationary max-stable processes

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Probability density function of the electric field in diffuse correlation spectroscopy of human bone in vivo