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Montréal, Canada

di Sciullo A.M.,UQAM
Communications in Computer and Information Science

We consider the properties of an integrated competence-performance model where the grammar generates the asymmetrical relations underlying linguistic expressions and the parser recovers these asymmetries. This model relates Asymmetry Theory, which is a theory of the Language Faculty, and asymmetry-based parsing, which is a theory of language use. We discuss the derivation and parsing of morphological and syntactic argument structure dependencies under the world level and above in order to show that the grammar generates these dependencies and that the parser recovers them. The integrated competence-performance model is sensitive to the configurational and featural asymmetries underlying linguistic expressions and contributes to reduce the complexity. Lastly, we draw consequences for natural language understanding. © Springer International Publishing Switzerland 2015. Source

Bonthonneau Y.,UQAM
Communications in Mathematical Physics

The Eisenstein functions (Formula presented.) are some generalized eigenfunctions of the Laplacian on manifolds with cusps. We give a version of Quantum Unique Ergodicity for them, for (Formula presented.) and (Formula presented.) with (Formula presented.). For the purpose of the proof, we build a semi-classical quantization procedure for finite volume manifolds with hyperbolic cusps, adapted to a geometrical class of symbols. We also prove an Egorov Lemma until Ehrenfest times on such manifolds. © 2016, Springer-Verlag Berlin Heidelberg. Source

Bahn O.,HEC Montreal | Marcy M.,HEC Montreal | Vaillancourt K.,UQAM | Waaub J.-P.,UQAM
Energy Policy

We use a newly developed bottom-up model of the entire Canadian energy system (TIMES-Canada) to assess potentials for electrification of the road transport sector. A special emphasis has been put on the modelling of the Canadian road transport, by considering a variety of vehicles for passenger and freight transportation. Besides a business-as-usual (baseline) scenario, we have analysed an energy policy scenario imposing targets for electric vehicle penetration and a climate policy scenario imposing targets for greenhouse gas emission reduction. Our analysis shows on the one hand that electric vehicles penetrate notably the passenger vehicle market after 2040 in the baseline scenario and after 2030 in the energy policy scenario (following the assumed penetration targets). On the other hand, the assumed climate policy forces a stronger penetration of electric vehicles for passenger transportation, with a progressive phasing out of internal combustion engine vehicles, whereas the latter vehicles remain dominant for freight transportation but with a shift away of fossil fuels and in favour of biofuels. A sensitivity analysis on the (assumed) evolution of electric vehicles over time confirms these general trends. © 2013 Elsevier Ltd. Source

This paper describes a novel Particle Swarm Optimization (PSO)-based classification algorithm with improved capabilities in comparison to several alternatives. The algorithm uses a new particle-position update mechanism and a new way to handle mixed-attribute data based on particle position interpretation. The new position update mechanism combines particle confinement and dispersion for improved search space coverage, and the proposed interpretation mechanism uses the frequencies of non numerical attributes instead of integer mappings. As our experimental results have shown, this leads to better cost function evaluation in the description space and subsequently enhanced processing of mixed-attribute data by the PSO algorithm. Our experimental setup consisted of three large benchmark databases, and the obtained recognition accuracies were better than those obtained with well-known classifiers. © 2014 Elsevier B.V. Source

Reyter D.,INRS - Institute National de la Recherche Scientifique | Belanger D.,UQAM | Roue L.,INRS - Institute National de la Recherche Scientifique
Journal of Hazardous Materials

Ni, Cu, Cu90Ni10 and Cu70Ni30 were evaluated as cathode materials for the conversion of nitrate to nitrogen by a paired electrolysis process using an undivided flow-through electrolyzer. Firstly, corrosion measurements revealed that Ni and Cu70Ni30 electrodes have a much better corrosion resistance than Cu and Cu90Ni10 in the presence of chloride, nitrate and ammonia. Secondly, nitrate electroreduction experiments showed that the cupro-nickel electrodes are the most efficient for reducing nitrate to ammonia with a selectivity of 100%. Finally, paired electrolysis experiments confirmed the efficiency of Cu70Ni30 and Cu90Ni10 cathodes for the conversion of nitrate to nitrogen. During a typical electrolysis, the concentration of nitrate varied from 620ppm to less than 50ppm NO3- with an N2 selectivity of 100% and a mean energy consumption of 20kWh/kg NO3- (compared to ~35 and ~220kWh/kg NO3- with Cu and Ni cathodes, respectively). © 2011 Elsevier B.V. Source

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