2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET), Jan 2017, Hammamet, Tunisia. pp.44-49, ⟨10.1109/ASET.2017.7983742⟩. ⟨hal-03666169⟩

COMM

Homogénéité des surfaces de pièces obtenues par Fabrication Additive

Valentin Larivière, Raphaël Deltombe, Alex Montagne, Guillaume Vansteenkiste, Maxence Bigerelle

La fabrication additive par fusion d'un lit de poudre fait partie des technologies prometteuses dans le domaine de l'impression 3D. Appliquée aux matériaux métalliques, elle se présente comme une technologie de rupture pour l'industrie. Cependant, l'état de surface des pièces…

CFM 2017 - 23ème Congrès Français de Mécanique, Aug 2017, Lille, France. ⟨hal-03465682⟩

ART

Modeling and PDC fuzzy control of planar parallel robot: A differential– algebraic equations approach

Benyamine Allouche, Antoine Dequidt, Laurent Vermeiren, Michel Dambrine

Many works in the literature have studied the kinematical and dynamical issues of parallel robots. But it is still difficult to extend the vast control strategies to parallel mechanisms due to the complexity of the model-based control. This complexity is mainly caused by the presence of multiple…

International Journal of Advanced Robotic Systems, 2017, 14 (1), pp.172988141668711. ⟨10.1177/1729881416687112⟩. ⟨hal-03429415⟩

COMM

Quantitative analysis of galling in cold forging of a commercial Al-Mg-Si alloy

Kevin Le Mercier, Mirentxu Dubar, Katia Mocellin, André Dubois, Laurent Dubar

Multiple upsetting-sliding tests are performed at sliding velocities in the range of 20-200 mm.s-1 and at different plastic deformations to reproduce the local contact conditions experienced at the tool/workpiece interface during cold forging of a 6082 aluminium alloy. An original approach, able to…

International Conference on the Technology of Plasticity, ICTP 2017, Sep 2017, Cambridge, United Kingdom. pp.2298 - 2303, ⟨10.1016/j.proeng.2017.10.998⟩. ⟨hal-01667931⟩

ART

Fast binary support vector machine learning method by samples reduction

Abdelhamid Djeffal, Chaouki Babahenini, Abdelmalik Taleb-Ahmed

Support vector machine is a well-known method of statistical learning by its good accuracy; however, its training time is very poor especially in case of huge databases. Many research works aim to reduce training samples to improve training time without significant loss in accuracy. In this paper,…

International Journal of Data Mining, Modelling and Management, 2017, 9 (1), pp.1-16. ⟨10.1504/IJDMMM.2017.082555⟩. ⟨hal-03429978⟩

ART

New use of the HITS algorithm for fast web page classification

Mohamed Nadjib Meadi, Chaouki Babahenini, Abdelmalik Taleb-Ahmed

The immense number of documents published on the web requires the utilization of automatic classifiers that allow organizing and obtaining information from these large resources. Typically, automatic web pages classifiers handle millions of web pages, tens of thousands of features, and hundreds of…

Turkish Journal of Electrical Engineering and Computer Sciences, 2017, 25 (3), pp.2015-2032. ⟨10.3906/ELK-1501-236⟩. ⟨hal-03428798⟩

COMM

Calculation of greenhouse gas emissions of jatropha oil and jatropha biodiesel as alternative fuels for electricity production in Côte d’Ivoire

Atta Pascal Atta, Yao N'Guessan, Céline Morin, Anne Jaecker-Voirol, Georges Descombes

The electricity in Côte d’Ivoire is mainly produced from fossil energy sources. This causes damages on environment due to greenhouse gas emissions (GHG). The aim of this paper is to calculate the greenhouse gas (GHG) emissions of jatropha oil and jatropha biodiesel as alternative fuels for…

Technologies and Materials for Renewable Energy, Environment and Sustainability TMREES16 Fall Meeting, Nov 2016, Paris, France. ⟨10.1063/1.4976287⟩. ⟨hal-01505012⟩