Concept

Monoidal t-norm logic

Related publications (6)

RM3 based logic synthesis

Giovanni De Micheli, Mathias Soeken, Pierre-Emmanuel Julien Marc Gaillardon

In-memory computing devices, such as resistive RAMs, natively implement material implication or a variant of the majority-of-three operation called RM3. This operation generalizes material implication and has been used as target operation in sev ...

IEEE2017

A Full-Capacity Local Routing Architecture for FPGAs

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Xifan Tang

Reconfigurable systems employ highly-routable local routing architecture to interconnect generic fine-grain logic blocks. Commercial FPGAs employ 50% sparse crossbars rather than fully-connected crossbars in their local routing architecture to trade off be ...

2016

BDS-MAJ: A BDD-based Logic Synthesis Tool Exploiting Majority Logic Decomposition

Giovanni De Micheli, Pierre-Emmanuel Julien Marc Gaillardon, Luca Gaetano Amarù

Despite the impressive advance of logic synthesis during the past decades, a general methodology capable of efficiently synthesizing both control and datapath logic is still missing. Indeed, while synthe- sis techniques for random control logic (AND/OR-int ...

2013

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

Soft Discretization in a Classification Model for Modeling Adaptive Route Choice with a Fuzzy ID3 Algorithm

This study introduces a way to overcome the sensitivity of decision trees used for route choice behavior studies by using fuzzy logic while preserving the advantages of decision trees and the C4.5 algorithm, namely, comprehensibility and ease of applicatio ...

National Academy of Sciences2008

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