Publications

Affichage de 1741 à 1750 sur 5525

ART

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⟩

ART

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⟩

COMM

Optimization of Maintenance Planning and Routing Problems

Lamiaa Dahite, Abdeslam Kadrani, Rachid Benmansour, Rym Nesrine Guibadj, Cyril Fonlupt

This paper addresses a problem that maintenance service providers often face: determining the best routing-maintenance policy for all technicians and machines. It consists of defining for each technician the sequence of the maintenance operations to perform so that the total expected costs are…

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⟩

ART

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⟩

COMM

Practical approach of input delay nonlinear systems: Application to spinal cord injury sitting stability

Thierry-Marie Guerra, Mathias Blandeau, Tran Anh-Tu Nguyen, J. Pan

This paper is concerned with the design of an application-oriented control law for a biomechanical model of people living with spinal cord injury sitting stability. A major difficulty is to stabilize the resulting open-loop unstable nonlinear system with a delayed control input. A solution is…

5th IFAC Conference on Intelligent Control and Automation Sciences ICONS 2019, Aug 2019, Belfast, United Kingdom. pp.67-72, ⟨10.1016/j.ifacol.2019.10.001⟩. ⟨hal-03455470⟩

COMM

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⟩

COMM

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⟩

ART

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⟩

COMM

On the Eco-driving Trajectory for Tramway System

Simon Enjalbert, Yassine Boukal

In this work, the problem of reduction of energy consumption based on calculated speed, called eco-driving trajectory for tramway system is investigated, where some constraints on the states, control input and travel time are considered. Thanks to the operating speed range of the tramway, the non-…

14th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems HMS 2019, Sep 2019, Tallinn, Estonia. pp.115-120, ⟨10.1016/j.ifacol.2019.12.121⟩. ⟨hal-03519034⟩

ART

Horizontal collaborative transport: survey of solutions and practical implementation issues

Shenle Pan, Damien Trentesaux, Eric Ballot, George Q. Huang

Horizontal collaboration has been considered as effective practice for sustainable logistics and freight transport and it has gained increased attention in recent years. This paper aims to provide a survey of the development of horizontal collaborative transport (HCT) over the past ten years, to…

International Journal of Production Research, 2019, 57 (15-16), pp.5340-5361. ⟨10.1080/00207543.2019.1574040⟩. ⟨hal-02008934⟩