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Publications associées (20)

Introducing reinforcement learning to the energy system design process

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

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

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

Improving Circuit Mapping Performance Through MIG-based Synthesis for Carry Chains

Paolo Ienne, Giovanni De Micheli, Ana Petkovska, Grace Zgheib, Luca Gaetano Amarù, Xifan Tang, Pierre-Emmanuel Julien Marc Gaillardon, Mathias Soeken, Zhufei Chu

Hard-wired carry chains in FPGAs are designed to improve efficiency of important arithmetic primitives. Although they are proven to be effective for arithmetic-rich functions, there are very few studies on the optimization opportunities of carry chains for ...

ACM2017

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

Alexis Berne, Jacopo Grazioli, Nikola Besic, Marco Gabella, Urs Martin Germann

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

Conductance Switching and Many-Valued Logic in Porphyrin Assemblies

Nicola Marzari

We investigate quantum interference in the transport properties of porphyrin-based molecular devices, and are able to develop a minimal but qualitatively accurate model of conductance based on the maximally localized Wannier functions of just the isolated ...

Amer Chemical Soc2013

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

Real-Time Identification of Risk-Prone Traffic Patterns Taking into Account Weather Conditions

André-Gilles Dumont, Minh Hai Pham

This paper presents the concept of a methodology for identifying in real time risky motorway traffic conditions. This research effort is to automate the extraction of traffic patterns from large data archives using advanced computing techniques. These patt ...

2011

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 ensuing logic networks along with their ultra-low power realization. The introduced circuits can operate in a wide range of the input signals varying in-betwe ...

Elsevier2010

Fuzzy Trust Aggregation And Personalized Trust Inference In Virtual Social Networks

Mohsen Lesani

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

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

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

Assessing the saving potential of blind controller via multi-objective optimization

Nicolas Morel, David Daum

This paper presents the results of computational experiments where multi-objective algorithms were used to tune a controller for blind movements in a residential building and a room of the LESO (Solar Energy and Building Physics Laboratory) experimental bu ...

Tsinghua Press, Springer2009

Modelling the impact of flooding stress on the growth performance of woody species using fuzzy logic

Rodolphe Schlaepfer

Among the driving processes responsible for riparian forest dynamics the species-specific impact of flooding on the development of woody plants plays a key role-particularly for lowland rivers. Only a few of the forest succession models currently in use in ...

2008

Advanced Data Mining Method for Discovering Regions and Trajectories of Moving Objects: "Ciconia ciconia" Scenario

Stefano Spaccapietra, Claudio Magalhaes Carneiro

Trajectory data is of crucial importance for a vast range of applications involving analysis of moving objects behavior. Unfortunately, the extraction of relevant knowledge from trajectory data is hindered by the lack of semantics and the presence of error ...

Springer-Verlag2008

A fuzzy approach for the evaluation of competences

Rémy Glardon, Grégoire Pepiot, Naoufel Cheikhrouhou

Maintaining and developing competitive advantages in a constantly changing market require the creation and exploitation of a network of adequate competences. Competence management necessitates both clean formalization and evaluation of the pertinence of co ...

Elsevier2008

Fractional Collections with Cardinality Bounds, and Mixed Integer Linear Arithmetic with Stars

Viktor Kuncak, Ruzica Piskac

We present decision procedures for logical constraints that support reasoning about collections of elements such as sets, multisets, and fuzzy sets. Element membership in such collections is given by a characteristic function from a finite universe (of unk ...

2008

Fuzzy gain scheduling technique for power flow control

Sidi-Rachid Cherkaoui, Alexandre Oudalov

An application of fuzzy logic based control for power systems governing multiple flexible alternating current transmission system (FACTS) devices is described here. Sufficiently accurate relations have been derived to determine setpoints of FACTS devices u ...

2006

A new fuzzy multicriteria decision aid method for conceptual design

Razvan Alexandru Gheorghe

Product end-of-life treatment is unavoidable, no matter how well the product is designed. European regulations becoming stringent regarding the disposal of products, emphasis on end-of-life (EOL) issues at the conceptual design stage gained in importance. ...

EPFL2005

Investment decisions with flexibility under uncertainty in the competitive electricity supply industry

Jun Dong

The restructuring of the electricity supply industry (ESI) has introduced new actors and market mechanisms. Electricity prices are more market oriented and fluctuate greatly. These changes bring about more uncertainties and risks to the market participants ...

EPFL2004

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