21st Congress of the International Ergonomics Association (IEA 2021), Jun 2021, VANCOUVER, Canada. pp. 600-606, ⟨10.1007/978-3-030-74608-7_73⟩. ⟨hal-03228345⟩

ART

Kárpát-medencei nyersanyagokból készült kőeszközök felületi elváltozásainak kvalitatív és kvantitatív elemzése

Antony Borel, Raphaël Deltombe, Julie Marteau, Philippe Moreau, Maxence Bigerelle, György Lengyel, Zsolt Mester

Az őskori régészeti kőeszközökön végzett nyomelemzés célja, hogy jellemezzük a felületi elváltozásaikat, s ezen keresztül meghatározzuk az eszközök funkcióit és leírjuk az egykori emberek technikával kapcsolatos viselkedését. A módszer megbízhatósága és megismételhetősége körül vannak viták, s a...

Magyar Régészet, 2021, 10 (3), pp.1-12. ⟨10.36245/mr.2021.3.4⟩. ⟨hal-03621116⟩

ART

Assessment of dental implant stability using resonance frequency analysis and quantitative ultrasound methods

Yoann Hériveaux, Romain Vayron, Manon Fraulob, Hugues Albini Lomami, Camille Lenormand, Guillaume Haiat

Purpose Quantitative ultrasound (QUS) and resonance frequency analyses (RFA) are promising methods to assess the stability of dental implants. The aim of this in vivo preclinical study is to compare the results obtained with these two techniques with the bone-implant contact (BIC) ratio, which is...

Journal of Prosthodontic Research, 2021, 65 (3), pp.421-427. ⟨10.2186/JPR.JPR_D_20_00052⟩. ⟨hal-02990903⟩

ART

Human-Machine Shared Driving Control for Semi-Autonomous Vehicles Using Level of Cooperativeness

Tran Anh-Tu Nguyen, Jagat Jyoti Rath, Chen Lv, Thierry-Marie Guerra, Jimmy Lauber

This paper proposes a new haptic shared control concept between the human driver and the automation for lane keeping in semi-autonomous vehicles. Based on the principle of human-machine interaction during lane keeping, the level of cooperativeness for completion of driving task is introduced. Using...

Sensors, 2021, 21 (14), pp.4647. ⟨10.3390/s21144647⟩. ⟨hal-03426491⟩

ART

Avoiding Unmeasured Premise Variables in Designing Unknown Input Observers for Takagi–Sugeno Fuzzy Systems

Tran Anh-Tu Nguyen, Juntao Pan, Thierry-Marie Guerra, Zhenhua Wang

This letter investigates the design of unknown input (UI) observers for a large class of nonlinear systems using Takagi-Sugeno (TS) fuzzy modeling. To avoid the well-known issue on the unmeasured premise variables in fuzzy observer design, we reformulate the nonlinear systems in a TS fuzzy form...

IEEE Control Systems Letters, 2021, 5 (1), pp.79-84. ⟨10.1109/LCSYS.2020.2999028⟩. ⟨hal-04307203⟩

ART

Unknown Input Observer Based Approach for Distributed Tube-Based Model Predictive Control of Heterogeneous Vehicle Platoons

Qianyue Luo, Tran Anh-Tu Nguyen, James Fleming, Hui Zhang

This paper addresses the control problem of heterogeneous vehicle platoons subject to disturbances and modeling errors. The objective is to guarantee spatial-geometry constraints of vehicles in a platoon. We deal with the case where a predecessor-leader following (PLF) communication topology is...

IEEE Transactions on Vehicular Technology, 2021, 70 (4), pp.2930-2944. ⟨10.1109/TVT.2021.3064680⟩. ⟨hal-03710659v2⟩

ART

Self adaptive learning scheme for early diagnosis of simple and multiple switch faults in multicellular power converters

Houari Toubakh, Moamar Sayed-Mouchaweh, Mohammed Benmiloud, Michael Defoort, Mohamed Djemai

This paper proposes a scheme based on the use of unsupervised machine learning approach and a drift detection mechanism in order to perform an early fault diagnosis of simple and multiple stuck-opened/stuck-closed switches in multicellular converters. Only the data samples representing the normal...

ISA Transactions, 2021, 113, pp.222-231. ⟨10.1016/j.isatra.2020.03.025⟩. ⟨hal-03225092⟩