Publications

Affichage de 481 à 490 sur 5413


  • Chapitre d'ouvrage

Kinetic Study of Waste Tires Pyrolysis by Thermogravimetric Analysis Kissinger–Akahira–Sunose (KAS) Method

Hiba Rejeb, Emna Berrich, Mohamed Hachemi Chahbani, Fethi Aloui

The aim of this paper is to study the thermal degradation of waste tires (WT) by thermogravimetric analysis (TGA), for different heating rates, under nitrogen atmosphere (N2). Experiments were carried out at different heating rates to reach 800 °C. Kissinger–Akahira–Sunose (KAS) model was applied…

Prof. Dr. V. Edwin Geo; Prof. Dr. Fethi Aloui (Ed.). Energy and Exergy for Sustainable and Clean Environment, Volume 1, Springer Nature, pp.589-599, 2022, Green Energy and Technology, 978-981-16-8277-3. ⟨10.1007/978-981-16-8278-0_38⟩. ⟨hal-04150155⟩

  • Chapitre d'ouvrage

Lattice Boltzmann Equation for Axisymmetric Swirling Thermal Flows Between Two Concentric Cylinders

Insaf Mehrez, Ramla Gheith, Fethi Aloui

The paper focuses on the flow and heat transfer flow between two concentric cylinders. It investigates the Taylor-Couette system with a rotating inner cylinder and an imposed radial temperature gradient. Taylor number, aspect ratio, and Grashof number were discussed to determine the temperature…

Prof. Dr. V. Edwin Geo; Prof. Dr. Fethi Aloui (Ed.). Energy and Exergy for Sustainable and Clean Environment, Volume 1, Springer Nature, pp.615-631, 2022, Green Energy and Technology, 978-981-16-8277-3. ⟨10.1007/978-981-16-8278-0_40⟩. ⟨hal-04150503⟩

  • Communication dans un congrès

Contribution to Robot System Identification: Noise Reduction using a State Observer

Bilal Tout, Jason Chevrie, Laurent Vermeiren, Antoine Dequidt

Conventional identification approach based on the inverse dynamic identification model using least-squares and direct and inverse dynamic identification techniques has been effectively used to identify inertial and friction parameters of robots. However these methods require a well-tuned filtering…

19th International Conference on Informatics in Control, Automation and Robotics, Jul 2022, Lisbon, Portugal. pp.695-702, ⟨10.5220/0011322600003271⟩. ⟨hal-03788153⟩

  • Communication dans un congrès

Investigations sur la modélisation d’un récupérateur à empilement piézoélectrique amplifié

Anthony Casisa, Barbara Lafarge, Vincent Lanfranchi, Christophe Delebarre, Sébastien Grondel

JNRSE 2022, Jul 2022, Bordeaux, France. ⟨hal-04398279⟩

  • Communication dans un congrès

Environmental impacts of the Collaborative Intelligent Transport Systems (C-ITS): survey and research directions

Wassim Bouazza, Abdessamad Ait El Cadi, Abdelghani Bekrar, Atika Rivenq

The awareness of the climate emergency makes environmental issues a priority at many levels. In addition to political initiatives, research on the reduction of the environmental impact of human activities is on the rise. Among these activities, the transportation sector is among the most polluting…

GIN Conference on Logistics | New Technologies & Effective Circular Economy, LAMIH (Laboratory of industrial and human automation, mechanics and computer science); UPHF (Université Polytechnique Hauts-de-France); GIN (the Greening of Industry Network), Jul 2022, Valenciennes, France. ⟨hal-04736131⟩

  • Article dans une revue

Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test

Paul Thiry, Martin Houry, Laurent Philippe, Olivier Nocent, Fabien Buisseret, Frédéric Dierick, Rim Slama, William Bertucci, André Thévenon, Emilie Simoneau-Buessinger

Nowadays, the better assessment of low back pain (LBP) is an important challenge, as it is the leading musculoskeletal condition worldwide in terms of years of disability. The objective of this study was to evaluate the relevance of various machine learning (ML) algorithms and Sample Entropy (…

Sensors, 2022, 22 (13), pp.5027. ⟨10.3390/s22135027⟩. ⟨hal-04708200⟩

  • Article dans une revue

Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test

Paul Thiry, Martin Houry, Laurent Philippe, Olivier Nocent, Fabien Buisseret, Frédéric Dierick, Rim Slama, William Bertucci, André Thévenon, Emilie Simoneau-Buessinger

Nowadays, the better assessment of low back pain (LBP) is an important challenge, as it is the leading musculoskeletal condition worldwide in terms of years of disability. The objective of this study was to evaluate the relevance of various machine learning (ML) algorithms and Sample Entropy (…

Sensors, 2022, 22 (13), pp.5027. ⟨10.3390/s22135027⟩. ⟨hal-03715856⟩

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