Concept

Environment variable

Related publications (33)

First-principle based predictions of the effects of negative triangularity on DTT scenarios

Olivier Sauter, Gabriele Merlo, Alberto Mariani

Plasmas with negative triangularity (NT) shape have been recently shown to be able to achieve H-mode levels of confinement in L-mode, avoiding detrimental edge localised modes. Therefore, this plasma geometry is now studied as a possible viable option for ...

Bristol2024

Unsupervised Representation Learning for Gaze Estimation

Jean-Marc Odobez, Yu Yu

Although automatic gaze estimation is very important to a large variety of application areas, it is difficult to train accurate and robust gaze models, in great part due to the difficulty in collecting large and diverse data (annotating 3D gaze is expensiv ...

IEEE2020

Modifier Adaptation as a Feedback Control Scheme

Dominique Bonvin, Alejandro Gabriel Marchetti, Sean Costello

As a real-time optimization technique, modifier adaptation (MA) has gained much significance in recent years. This is mainly due to the fact that MA can deal explicitly with structural plant-model mismatch and unknown disturbances. MA is an iterative techn ...

AMER CHEMICAL SOC2020

Service Restoration Strategy in Active Distribution Networks

Hossein Sekhavatmanesh

In the last decade, the massive penetration of Distributed Generators (DGs) has brought significant technical challenges to all the aspects related to the planning and operation of distribution networks. Thus, smart grid concept has evolved as a new operat ...

EPFL2020

Learning new movements after paralysis: Results from a home-based study

Camilla Pierella, Ismael Seanez Gonzalez, Ali Farshchiansadegh

Body-machine interfaces (BMIs) decode upper-body motion for operating devices, such as computers and wheelchairs. We developed a low-cost portable BMI for survivors of cervical spinal cord injury and investigated it as a means to support personalized assis ...

Nature Publishing Group2017

Supervisory teleoperation with online learning and optimal control

Sylvain Calinon

We present a general approach for online learning and optimal control of manipulation tasks in a supervisory teleoperation context, targeted to underwater remotely operated vehicles (ROVs). We use an online Bayesian nonparametric learning algorithm to buil ...

IEEE2017

Synthesizing efficient systems in probabilistic environments

Barbara Jobstmann, David Parker

We present a formalism, algorithms and tools to synthesise reactive systems that behave efficiently, i.e., which achieve an optimal trade-off between a given cost and reward model. Synthesis aims to automatically generate a program from a specification. Mo ...

Springer2016

On the Use of Extents for Process Monitoring and Fault Diagnosis

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Process monitoring and fault diagnosis are broadly used to control quality and enforce safety compliance in industrial processes. Processes are commonly monitored by online spectroscopy, with either PCA or calibration techniques such as PLS being used to p ...

2014

On the use of extents for process monitoring and fault diagnosis

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

2014

Near- and Sub-Threshold Design for Ultra-Low-Power Embedded Systems

Andreas Peter Burg

Ultra-low-power (ULP) software-programmable architectures are gradually replacing  dedicated VLSI circuits in many applications, including health care and other critical areas. However, the cost for more flexibility is the less frugal use of energy. This c ...

2013

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