Publications

• Chapitre d'ouvrage

Impact of Heat Integration from CO2 Compression on Energy Requirement and Equipment Costs in Power Plants Using Post-combustion Capture

Madjid Bentorki, Jian Chen, Fethi Aloui

This work presents a study of different CO2 compression models. Various CO2 compression options widely used in the industry will be modelled through Aspen plus and energy requirement and heat available will be quantified and compared. An operating costs and capital costs assessment has been first…

Prof. Dr. V. Edwin Geo; Prof. Dr. Fethi Aloui (Ed.). Energy and Exergy for Sustainable and Clean Environment, Volume 1, Springer Nature, pp.601-614, 2022, Green Energy and Technology, 978-981-16-8277-3. ⟨10.1007/978-981-16-8278-0_39⟩. ⟨hal-04150472⟩

• 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⟩

• Thèse

User-Centred Design and Evaluation of Interactive System Assisting the Mobility of People with Intellectual Disability, Contribution à la conception centrée utilisateur et à l'évaluation d'un système interactif aidant la mobilité de personnes en situation de déficience intéllectuelle

Aymen Lakehal

This doctoral thesis, in Human-Computer Interaction (HCI) field, addresses the question of mobility assistance for people with intellectual disability (ID). The main goal is to use a user-centred approach to design and evaluate a navigation aid system (NAS). Navigating independently through the…, Cette thèse de doctorat, dans le domaine de l’interaction humain-machine (IHM), aborde la question de l’aide à la mobilité pour les personnes présentant une déficience intellectuelle (DI). L’objectif principal est d’utiliser une approche centrée-utilisateur pour concevoir et évaluer un système d’…

Human-Computer Interaction [cs.HC]. Université Polytechnique Hauts-de-France, 2022. English. ⟨NNT : 2022UPHF0010⟩. ⟨tel-03932687⟩

• Chapitre d'ouvrage

The Knapsack Problem and Its Variants: Formulations and Solution Methods

Christophe Wilbaut, Saïd Hanafi, Igor Machado Coelho, Abilio Lucena

The Knapsack Problem is among the most well-known and widely studied optimization problems. Given a set of items, each item with an associated weight, the problem asks for a subset of items with a total weight no larger than an available capacity and which maximizes a corresponding measure of…

The Palgrave Handbook of Operations Research, Springer International Publishing, pp.105-151, 2022, ⟨10.1007/978-3-030-96935-6_4⟩. ⟨hal-03723558⟩

• 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⟩

• Thèse

Modélisation des surfaces réelles de contact et de leur évolution : intégration dans les simulations de crissement, Modelling real contact surfaces and their evolution : integration into squeal simulations

Yassine El Attaoui

Le crissement de frein est une nuisance sonore qui affecte le bien-être collectif et rend le système mécanique non conforme aux exigences du client. Sa réduction, voire sa suppression, représente depuis quelques décennies un enjeu majeur pour les industriels du secteur des transports ainsi que la…, Brake squeal is a noise nuisance that affects collective welfare and makes the mechanical system fail to meet customer requirements. Its reduction, or even its elimination, has been a major issue for the transport industry and the scientific community for several decades. This phenomenon, which is…

Mécanique des matériaux [physics.class-ph]. Université Polytechnique Hauts-de-France, 2022. Français. ⟨NNT : 2022UPHF0017⟩. ⟨tel-03957526⟩

• 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-03715856⟩

• Article dans une revue

Scheduled service network design with revenue management considerations and an intermodal barge transportation illustration

Ioana Bilegan, Teodor Gabriel Crainic, Yunfei Wang

European Journal of Operational Research, 2022, 300 (1), pp.164-177. ⟨10.1016/j.ejor.2021.07.032⟩. ⟨hal-05554126⟩

• Article dans une revue

CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production

Ali Agga, Ahmed Abbou, Moussa Labbadi, Yassine El Houm, Imane Hammou Ou Ali

Climate change is pushing an increasing number of nations to use green energy resources, particularly solar power as an applicable substitute to traditional power sources. However, photovoltaic power generation is highly weather-dependent, relying mostly on solar irradiation that is highly unstable…

Electric Power Systems Research, 2022, 208, pp.107908. ⟨10.1016/j.epsr.2022.107908⟩. ⟨hal-03809814⟩