Publications

Affichage de 1221 à 1230 sur 5525

ART

The selective traveling salesman problem with draft limits

Shahin Gelareh, Bernard Gendron, Said Hanafi, Rahimeh Neamatian Monemi, Raca Todosijević

This paper introduces the selective traveling salesman problem with draft limits, an extension of the traveling salesman problem with draft limits, wherein the goal is to design a maximum profit tour respecting draft limit constraints at the visited nodes. We propose a mixed integer linear…

Journal of Heuristics, 2020, 26 (3), pp.339-352. ⟨10.1007/s10732-019-09406-z⟩. ⟨hal-03472173⟩

THESE

Hardware Accelerators for Machine Learning Applications. Case Study : Autonomous Vehicles, Accélérateurs Matériels pour l'Intelligence Artificielle. Etude de Cas : Voitures Autonomes

Mohamed Ayoub Neggaz

Since the early days of the DARPA challenge, the design of self-driving cars is catching increasing interest. This interest is growing even more with the recent successes of Machine Learning algorithms in perception tasks. While the accuracy of thesealgorithms is irreplaceable, it is very…, Depuis les débbuts du défi DARPA, la conception de voitures autonomes suscite unintérêt croissant. Cet intéreêt grandit encore plus avec les récents succès des algorithmesd'apprentissage automatique dans les tâches de perception. Bien que laprécision de ces algorithmes soit irremplaçable, il…

Artificial Intelligence [cs.AI]. Université Polytechnique Hauts-de-France, 2020. English. ⟨NNT : 2020UPHF0017⟩. ⟨tel-03177513⟩

ART

Effect of initial grain size on the mechanical behaviour of austenite during deformation under hot-working conditions

Eli Saúl Puchi-Cabrera, Jean-Dominique Guerin, José Gregorio La Barbera-Sosa, Mirentxu Dubar, Laurent Dubar

The present investigation has been conducted to study the effect of the austenitic grain size (AGS) on the flow stress behaviour of austenite, deformed in a wide range of temperatures and strain rates, employing samples of a commercial ER7 steel grade. To accomplish this objective, a novel general…

Materials Science and Engineering: A, 2020, 799, pp.139553. ⟨10.1016/j.msea.2020.139553⟩. ⟨hal-03439544⟩

COMM

Simultaneous Estimation of State and Unknown Input for TS Fuzzy Systems with Unmeasured Premise Variables

Jun-Tao Pan, Tran Anh-Tu Nguyen, Thierry-Marie Guerra, Jimmy Lauber, Weiwei Zhang

Designing unknown input (UI) observers for Takagi-Sugeno (TS) fuzzy systems is known as a challenging issue, especially when the premise variables are unmeasured. This paper presents a new approach to deal with unmeasured premise variables in UI observer design for discrete-time TS fuzzy systems.…

2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), May 2020, Cluj-Napoca, Romania. pp.1-6, ⟨10.1109/AQTR49680.2020.9129929⟩. ⟨hal-03406040⟩

ART

Development System on Integrated Regional Building Permit Policy to Enhance Green Building Life Cycle Achievement

Mohammed Ali Berawi, Van Basten, Yusuf Latief, Igor Crevits

Green building is a friendly environment building concept that can answer the problems of the negative impact of buildings on environmental sustainability both at this time and in the future. At the beginning of the development of a green building, there were relatively many challenges experienced…

EVERGREEN Joint Journal of Novel Carbon Resource Sciences & Green Asia Strategy, 2020, 7 (2), pp.240-245. ⟨10.5109/4055226⟩. ⟨hal-03396878⟩

COMM

Nonlinear Convex Control Design for Differential Algebraic Equation Systems via LMIs

Juan Carlos Arceo Luzanilla, Jimmy Lauber

This document presents an approach for nonlinear control design in singular systems by combining Lyapunov's direct method with exact convex structures. The conditions obtained are given in terms of linear matrix inequalities, the methodology proposed is illustrated by applying the nonlinear…

2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), May 2020, Cluj-Napoca, Romania. pp.1-6, ⟨10.1109/AQTR49680.2020.9129973⟩. ⟨hal-03406050⟩

ART

Consumption minimization for an academic model of a vehicle

Ouazna Oukacha, Nicolas Boizot

The present article is a study of an optimal control problem having a non‐differentiable, but Lipschitz, cost function. It is inspired by the minimisation of the energy consumption of a car‐like vehicle or robot along a road which profile is known. This problem is stated by means of a simple model…

Optimal Control Applications and Methods, 2020, 41 (4), pp.1288-1320. ⟨10.1002/oca.2604⟩. ⟨hal-01384651v3⟩

THESE

Tangible interfaces and dual reality for collaborative problems solving around distributed tabletops, Interfaces tangibles et réalité duale pour la résolution collaborative de problèmes autour de tables interactives distribuées.

Walid Merrad

In everyday life, new interactions are gradually replacing the standard computer keyboardand mouse, by using the human body gestures (hands, fingers, head, etc.) as alternativesof interactions on surfaces and in-air. Another type of interaction resides within the manipulationof everyday objects to…, De nouvelles modalités d’interactions reposant sur les postures et les gestes complètentprogressivement les modalités couramment employées par les ordinateurs de bureau, lestablettes et les surfaces interactives. Ces modalités peuvent être enrichies par l’adjonctiond’objets tangibles, directement…

Human-Computer Interaction [cs.HC]. Université Polytechnique Hauts-de-France, 2020. English. ⟨NNT : 2020UPHF0010⟩. ⟨tel-03171945⟩

COUV

Using Machine Learning Models to Predict the Length of Stay in a Hospital Setting

Rachda Naila Mekhaldi, Patrice Caulier, Sondès Chaabane, Abdelahad Chraibi, Sylvain Piechowiak

Proper prediction of Length Of Stay (LOS) has become increasingly important these years. The LOS prediction provides better services, managing hospital resources and controls their costs. In this paper, we implemented and compared two Machine Learning (ML) methods, the Random Forest (RF) and the…

Trends and Innovations in Information Systems and Technologies, 1159, Springer International Publishing, pp.202-211, 2020, Advances in Intelligent Systems and Computing, 978-3-030-45688-7. ⟨10.1007/978-3-030-45688-7_21⟩. ⟨hal-03696678⟩

COMM

Using Machine Learning Models to Predict the Length of Stay in a Hospital Setting

Rachda Naila Mekhaldi, Patrice Caulier, Sondès Chaabane, Abdelahad Chraibi, Sylvain Piechowiak

Proper prediction of Length Of Stay (LOS) has become increasingly important these years. The LOS prediction provides better services, managing hospital resources and controls their costs. In this paper , we compared two Machine Learning (ML) methods on the Microsoft available dataset. This data are…

8th World Conference on Information Systems and Technologies (WorldCIST’2020), Apr 2020, Budva, Montenegro. pp.202-211, ⟨10.1007/978-3-030-45688-7_21⟩. ⟨hal-03381824⟩