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Publications associées (21)

Introducing reinforcement learning to the energy system design process

Jean-Louis Scartezzini, Amarasinghage Tharindu Dasun Perera, Vahid Moussavi Nik, Pamuditha Udaranga Wickramasinghe

Design optimization of distributed energy systems has become an interest of a wider group of researchers due the capability of these systems to integrate non-dispatchable renewable energy technologies such as solar PV and wind. White box models, using line ...

2020

Image Clustering Algorithms to Identify Complicated Cerebral Diseases. Description and Comparison

Maria-Alexandra Paun

This article presents two algorithms developed based on two different techniques, from clusterization theory, namely k-means clustering technique and Fuzzy C-means technique, respectively. In this context, the study offers a sustained comparison of the two ...

2020

Modeling and Assessment of Urban Energy Systems

Amarasinghage Tharindu Dasun Perera

Improving the energy sustainability of our cities involves the integration of multiple renewable energy technologies into existing energy infrastructure, stretching the capabilities of traditional energy systems to the limit. To consider the transition tak ...

EPFL2019

Reflection: A Socratic approach

Reflection is a fuzzy concept. In this article we reveal the paradoxes involved in studying the nature of reflection. Whereas some scholars emphasize its discursive nature, we go further and underline its resemblance to the self-biased dialogue Socrates ha ...

Sage Publications Ltd2017

Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach

Alexis Berne, Jacopo Grazioli, Nikola Besic, Marco Gabella

Polarimetric radar-based hydrometeor classification is the procedure of identifying different types of hydrometeors by exploiting polarimetric radar observations. The main drawback of the existing supervised classification methods, mostly based on fuzzy lo ...

Copernicus GmbH2016

Improving activity recognition using a wearable barometric pressure sensor in mobility-impaired stroke patients

Kamiar Aminian, Anisoara Ionescu, Arash Arami, Fabien Massé

Background Stroke survivors often suffer from mobility deficits. Current clinical evaluation methods, including questionnaires and motor function tests, cannot provide an objective measure of the patients’ mobility in daily life. Physical activity performa ...

BioMed Central2015

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Kamiar Aminian, Arash Arami

Here we present a low-power magnetic measurement system based on only two Hall-effect elements and a permanent magnet integrated into a smart knee prosthesis to accurately measure knee flexion-extension. The smart prosthesis was tested in a robotic knee si ...

Institute of Electrical and Electronics Engineers2015

Early Classification of Pathological Heartbeats on Wireless Body Sensor Nodes

David Atienza Alonso, Giovanni Ansaloni, Ruben Braojos Lopez, Ivan Beretta

Smart Wireless Body Sensor Nodes (WBSNs) are a novel class of unobtrusive, battery-powered devices allowing the continuous monitoring and real-time interpretation of a subject's bio-signals, such as the electrocardiogram (ECG). These low-power platforms, w ...

MDPI2014

Comparison Among Computational Intelligence Methods For Engine Knock Detection. Part 2

Anamaria Radoi

The novelty this article brings is the use of neural networks and neuro-fuzzy modeling to take the engine knock detection based on pressure and vibration samples taken from an internal combustion engine to the next step from previous achievements, the ulti ...

2012

Vehicle recognition from multi-spectral and LiDAR elevation data with object-oriented analysis

André-Gilles Dumont, Sofia Samoili

This research study addresses issues of transport modeling aiming to the recognition of vehicles, with perspective to generate a knowledge base for an automatic recognition of vehicles from similar type of data. Based on two datasets consisted of multi-spe ...

2011

3D Objects Localization Using Fuzzy Approach and Hierarchical Belief Propagation: Application at Level Crossings

Jacques Jacot, Alain Dufaux

Technological solutions for obstacle-detection systems have been proposed to prevent accidents in safety-transport applications. In order to avoid the limits of these proposed technologies, an obstacle-detection system utilizing stereo cameras is proposed ...

Hindawi Publishing Corporation2011

Cross-shore sediment transport estimation using fuzzy inference system in the swash zone

Roham Bakhtyar

The interactions between fluid and sediment in the swash zone dominate the erosion or accretion of the beach, and they act as boundary conditions for nearshore hydrodynamic and morphodynamic models. Thus, the evaluation of sediment transport is of particul ...

2011

A Weighting Scheme for Enhancing Community Detection in Networks

Martin Hasler, Alireza Khadivi

Many algorithms have recently been proposed for finding communities in networks. By definition, a community is a subset of vertices with a high number of connections among the vertices, but only few connections with other vertices. The worst drawback of mo ...

IEEE2010

Community detection enhancement in networks using proper weighting and partial synchronization

Martin Hasler, Ali Ajdari Rad, Alireza Khadivi

A community in a network is a subset of vertices densely connected to each other, but less connected to the vertices outside. Many different approaches have been developed to find such structures in a given network, but the main drawback of most of the ava ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Leg (AMAL) using bipedal robotics technology

Auke Ijspeert

The objective of the work presented here is to develop a low cost active above knee prosthetic device exploiting bipedal robotics technology which will work utilizing the available biological motor control circuit properly integrated with a Central Pattern ...

Elsevier2009

Fuzzy Trust Aggregation And Personalized Trust Inference In Virtual Social Networks

Virtual marketplaces on the Web provide people with great facilities to buy and sell goods similar to conventional markets. In traditional business, reputation is subjectively built for known persons and companies as the deals are made in the course of tim ...

2009

Design of Collision Avoidance System for a Chicken Robot Based on Fuzzy Relation Equations

Francesco Mondada, Alexey Gribovskiy

Design and study of mixed animal-robot societies are the fields of scientific exploration that can bring new opportunities for research into the group behavior of social animals. Our goal is to develop a Chicken Robot – an autonomous mobile robot, socially ...

IEEE Press2009

Lukasiewicz Fuzzy Logic Networks and Their Ultra Low Power Hardware Implementation

Rafal Tomasz Dlugosz

In this paper, we propose a new category of current-mode Łukasiewicz OR and AND logic neurons and logic networks and show their ultra low power realization. The introduced circuits can operate with very low input signals that set up the operating point of ...

2009

Coupling Thermal Simulation and Multi-Objective Coupling Thermal Simulation and Multi-Objective - Optimization for Blind Controller Design

Nicolas Morel, David Daum

In this paper we present results of computational experiments where multi-objective algorithms were used to tune a controller for blind movements in a room of the LESO experimental building. The blind controller which is based on fuzzy logic was optimized ...

EPFL2009

Fuzzy Logic Control of the Cross Connected Intermediate Level (CCIL) Voltage Source Inverter

Alfred Rufer

The Cross Connected Intermediate Level (CCIL) Voltage Source Inverter Topology was first introduced in 2007 [1]. The idea behind this novel multilevel topology is to explore the area of reduced number of component topologies producing large number of volta ...

2009