Publications associées à Logique de Łukasiewicz

Introducing reinforcement learning to the energy system design process

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

Architecture and Experimental Validation of a Low-Latency Phasor Data Concentrator

Mario Paolone, Asja Derviskadic, Paolo Romano, Marco Pignati

The paper presents the design principles of a Phasor Data Concentrator (PDC) that implements both the absolute and relative time data pushing logics together with a third one that aims at minimizing the latency introduced by the PDC without increasing the ...

2018

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

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

Dual-threshold-voltage configurable circuits with three-independent gate silicon nanowire FETs

Giovanni De Micheli, Jian Zhang, Pierre-Emmanuel Julien Marc Gaillardon

We extend ambipolar silicon nanowire transistors by using three independent gates and show an efficient approach to implement dual-threshold-voltage configurable circuits. Polarity and threshold voltage of uncommitted devices are determined by applying dif ...

2013

Alternative Design Methodologies for the Next Generation Logic Switch (invited paper)

Giovanni De Micheli, Davide Sacchetto, Yusuf Leblebici, Michele De Marchi

Next generation logic switch devices are ex- pected to rely on radically new technologies mainly due to the increasing difficulties and limitations of state-of-the-art CMOS switches, which, in turn, will also require innovative design methodologies that ar ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

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

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