ICVNS 2019 - 7th International Conference on Variable Neighborhood Search, Oct 2019, Rabat, Morocco. pp.95-111, ⟨10.1007/978-3-030-44932-2_7⟩. ⟨hal-03573450⟩

Communication dans un congrès

Artificial intelligence for forecasting in supply chain management: a case study of White Sugar consumption rate in Thailand

Anirut Kantasa-Ard, Abdelghani Bekrar, Abdessamad Ait El Cadi, Yves Sallez

This paper proposes an appropriate model to forecast the trend of white sugar consumption rate in Thailand due to the fluctuation of consumption rate nowadays. This paper will focus on two main forecasting model types, which are the regression models and neural network models. Moreover, the…

9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019, Aug 2019, Berlin, Germany. pp.725-730, ⟨10.1016/j.ifacol.2019.11.201⟩. ⟨hal-03675856⟩

Article dans une revue

On Challenges in Engineering IoT Software Systems

Rebeca Campos Motta, Káthia Marçal de Oliveira, Guilherme Horta Travassos

Contemporary software systems, such as the Internet of Things (IoT), Industry 4.0, and Smart Cities represent a technology changing that offer challenges for their construction since they are calling into question our traditional form of developing software. They are a promising paradigm for the…

Journal of Software Engineering Research and Development, 2019, 7, pp.5. ⟨10.5753/jserd.2019.15⟩. ⟨hal-03400380⟩

Communication dans un congrès

An Extension of Computed-Torque Control for Parallel Robots in Ankle Reeducation

Jorge Alvarez, Juan Carlos Arceo Luzanilla, Carlos Daniel Armenta Moreno, Jimmy Lauber, Miguel Bernal

This paper extends the well-known computed-torque control technique for trajectory tracking in parallel robotic manipulators, which belong to the class of nonlinear systems under algebraic restrictions. The proposed methodology is based on Euler-Lagrange modelling which, once the closed-loop…

5th IFAC Conference on Intelligent Control and Automation Science, Aug 2019, Belfast, Ireland. pp.1-6, ⟨10.1016/j.ifacol.2019.09.109⟩. ⟨hal-03519415⟩

Article dans une revue

Data-Efficient Reinforcement Learning for Energy Optimization Under Human Fatigue Constraints of Power-Assisted Wheelchairs

Guoxi Feng, Lucian Buşoniu, Thierry-Marie Guerra, Sami Mohammad

The objective of this paper is to develop a method for assisting users to push Power-Assisted Wheelchairs (PAW) in such a way that the electrical energy consumption over a predefined distance-to-go is optimal, while at the same time bringing users to a desired fatigue level. This assistive task is…

IEEE Transactions on Industrial Electronics, 2019, 66 (12), pp.9734-9744. ⟨10.1109/TIE.2019.2903751⟩. ⟨hal-03468370⟩

Article dans une revue

Application Source Code Modification for Processor Architecture Lifetime Improvement

Montassir Bensaada, Ahmed Jedidi, Smail Niar, Mohamed Abid

In the optimal functioning of SoCs, two significant metrics of quality are the most important; lifetime and reliability. The context of this paper focuses on methods to increase the lifetime of a processor. Two methods are presented: relax point injection (RPI) and code structure adaptation (CSA).…

International Journal of Embedded Systems, 2019, 11 (2), pp.125 - 138. ⟨10.1504/IJES.2019.098289⟩. ⟨hal-03479566⟩

Article dans une revue

Artificial intelligence for forecasting in supply chain management: a case study of White Sugar consumption rate in Thailand

Anirut Kantasa-Ard, Abdelghani Bekrar, Abdessamad Ait El Cadi, Yves Sallez

This paper proposes an appropriate model to forecast the trend of white sugar consumption rate in Thailand due to the fluctuation of consumption rate nowadays. This paper will focus on two main forecasting model types, which are the regression models and neural network models. Moreover, the…

IFAC-PapersOnLine, 2019, 52 (13), pp.725-730. ⟨10.1016/j.ifacol.2019.11.201⟩. ⟨hal-03675865⟩