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PEOPLE@HES-SO – Annuaire et Répertoire des compétences
PEOPLE@HES-SO – Annuaire et Répertoire des compétences

PEOPLE@HES-SO
Annuaire et Répertoire des compétences

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Ramosaj Nicolas

Ramosaj Nicolas

Collaborateur scientifique HES

Compétences principales

predictive maintenance

Data Acquisition

Signal processing

SCADAS

Hardware-in-the-Loop

Sustainability innovation

Speedgoat

  • Contact

  • Recherche

  • Publications

  • Conférences

Contrat principal

Collaborateur scientifique HES

Bureau: HEIA_D10.16

Haute école d'ingénierie et d'architecture de Fribourg
Boulevard de Pérolles 80, 1700 Fribourg, CH
HEIA-FR
Institut
SeSi - Sustainable Engineering Systems Institute
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En cours

Development of a Hardware-in-the-Loop Test Bench for Validation of an Anti-lock Braking System on an E-Bike
AGP

Rôle: Collaborateur/trice

Financement: FR - EIA - Institut SeSi

Description du projet : The goal of the project is to apply model-based system engineering tools and techniques to streamline the development of an anti-lock braking system (ABS) for an electric bicycle (e-bike). More specifically, the project focuses on the development of a hardware-in-the-loop (HiL) test bench that can be used to validate an e-bike ABS in different test scenarios. The same e-bike can be used in a wide variety of loading conditions, such as with a child seat or panniers (mounted on the front or rear), and different types of tires. Therefore, validating the overall system'i.e., ABS and e-bike'over a wide range of parameters, such as the mass of the rider, load distribution, and tire characteristics, is challenging. The chosen approach involves interfacing a parameterizable virtual bicycle simulation model running on a real-time target machine with the physical ABS hardware under test. The virtual bicycle consists in an equation-based model that considers six degrees of freedom representing the in-plane longitudinal dynamics of an e-bike. The simulation model is experimentally validated against measurements made on an instrumented test bike. Tests carried out as part of this development show that the developed HiL test bench can be successfully interfaced with a commercially available ABS, enabling the overall behavior of the ABS and the e-bike to be tested and evaluated in a safe and reproducible way before testing begins on the track.

Equipe de recherche au sein de la HES-SO: Viennet Emmanuel , Robyr Jean-Luc , Bouchardy Loïc , Lambrughi Alessandro , Murith Noé , Donato Laurent , Bonvin Leewan , Pasche Valentin , Corpataux Dominique , Rogivue Yohann , Vannay Hubert , Raetzo Raphaël , Mujkic Arnel , Ramosaj Nicolas , Fusco Christian

Durée du projet: 01.05.2020 - 31.12.2025

Montant global du projet: 120'750 CHF

Statut: En cours

Terminés

Prime BRIDGE Discovery ' A3P
AGP

Rôle: Collaborateur/trice

Requérant(e)s: FR - EIA - Institut iCoSys

Financement: HES-SO Rectorat; FR - EIA - Général école Ra&D

Description du projet : Prime BRIDGE Discovery ' A3P

Equipe de recherche au sein de la HES-SO: Sànchez-Alonso Sandy , Hennebert Jean , Schenker Frédéric , Mauron Muriel , Monney Nils , Donato Laurent , Preda Ioana , Buccella Pietro , Brodard Patricia , Rogivue Yohann , Vannay Hubert , Ramosaj Nicolas , Maillard Philippe , Mottet Corentin

Partenaires académiques: FR - EIA - Institut iCoSys; FR - EIA - Institut IPRINT; FR - EIA - Institut iSIS; FR - EIA - Institut SeSi

Durée du projet: 01.05.2022 - 31.01.2025

Montant global du projet: 20'500 CHF

Statut: Terminé

2024

How to improve accessories sales forecasting of a medium-sized Swiss enterprise? A comparison between statistical methods and machine learning algorithms
Article scientifique

Ramosaj Nicolas

Journal of Applied Business and Economics, 2024 , vol.  26, no  4, pp.  145-167

Lien vers la publication

Résumé:

Forecast accuracy is a crucial topic for industrial companies, and its impacts are particularly important for the finance and production departments. The company can incur high costs if forecasts are not accurate, for example, due to stock-outs or excess inventory.

Therefore, the purpose of this study was to optimize accessories forecasting for a medium-sized Swiss enterprise. To do so, different forecasting techniques were tested, and statistical methods and machine learning (ML) algorithms were compared. The results were adjusted according to key account managers’(KAM) expertise.

2023

Development of a Hardware-in-the-Loop Test Bench for Validation of an ABS System on an e-Bike
Article scientifique

Ramosaj Nicolas

The Evolving Scholar - BMD 2023, 5th Edition., 2023

Lien vers la publication

2022

Improving sales forecasting by combining key account managers' inputs and models such as SARIMA, LSTM, and Facebook prophet
Article scientifique

Ramosaj Nicolas

The Journal of Applied Business and Economics, 2022 , vol.  24, no  6, pp.  11-22

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2024

OR 2024 - International Conference on Operations Research
Conférence

Ramosaj Nicolas

OR 2024 - International Conference on Operations Research, 03.09.2024 - 06.09.2024, Munich, Germany

Lien vers la conférence

EURO 2024 - The association of European Operational Research Societies
Conférence

Ramosaj Nicolas

European Conference on Operational Research (EURO2024), 30.06.2024 - 03.07.2024, Copenhagen, Denmark

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2023

Bicycle & Motorcycle Dynamics 2023
Conférence

Ramosaj Nicolas

Bicycle & Motorcycle Dynamics 2023, 18.10.2023 - 20.10.2023, Delft, Netherlands

Lien vers la conférence

2022

EURO 2022 - The association of European Operational Research Societies
Conférence

Ramosaj Nicolas

EURO 2022 - The association of European Operational Research Societies, 03.07.2022 - 06.07.2022, Espoo, Finland

Lien vers la conférence

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