HU-MATHS-IN Center Day and Evaluation Meeting 2021.01.28.

A HU-MATHS-IN ipari matematikai hálózat Központi Napjára és Értékelő Találkozójára kerül sor 2021.01.28. napon, a járványügyi helyzetre való tekintettel, az online térben. Az esemény az EFOP-3.6.2.-16-2017-00015 számú projekt által támogatott. A rendezvény keretében sor kerül a már lezárt és eredményekkel rendelkező, valamint jelenleg is folyamatban lévő ipari indíttatású rövid futamidejű …

2020.09.11., 09:35-10:05

Gerencsér, László SZTAKI Hawkes processes: some key ideas, links to neuroscience and system identification Abstract: Following a brief introduction to some basic problems in epileptology, we present a survey of some key ideas in the theory of Hawkes processes. The class of Hawkes processes is considered as a potentially appropriate …

2020.09.09., 11:30-12:00

Lotfi, Abdelhakim SZE Thermal Modeling Strategy for Permanent Magnet Synchronous Motors Abstract: The main objective of our task is to develop mathematical models, numerical techniques to analyse the thermal effects in electric machines, to implement the developed algorithm in multiprocessor or multi-core environments and apply them to industrial use cases. …

2020.09.09., 12:40-13:10

Pere, Balázs SZE Numerical solution of a 1D contact-impact problem with different time stepping methods Abstract: Engineering structures often contain parts which are in contact. Even today, solving contact problems is one of the most challenging tasks in numerical analysis of structures. On the one hand, the difficulty of such …

2020.09.11., 10:10-10:40

Gerencsér, Balázs RI / Lovas, Attila BME Non-linear state-estimation based traffic modelling relying on sparse measurement data Abstract: We present our approach to the theoretical and computational challenge of traffic data extrapolation, to fit a model via its dynamical system approximations to the real world measurement data available and get …

2020.09.11., 08:00-09:00

Márkus, László ELTE / Baran, Sándor DE / Nedényi, Fanni SZTE / Arató, Miklós ELTE HU-MATHS-IN GE Project In this tal犀利士5mg k we present a closing draft of the HU-MATHS-IN GE Project. Participation upon signed NDA with GE. Online location: If you wantt to participate please contact the HU-MATHS-IN office.

2020.09.11., 09:00-09:30

Bolla, Marianna BME Spectra of Spectra Abstract: Asymptotic relation is proved between the eigenvalues of the block Toeplitz matrix of autocovariances and the union of spectra of the spectral density matrices at the Fourier frequencies. This result has a lot of important consequences as for the relations between time and …

Stoyan Gisbert Szeminárium Győrben

“A HU-MATHS-IN – Magyar Ipari Innovációs Matematikai Szolgáltatási Hálózat tevékenységének elmélyítése” című projekt keretében (EFOP-3.6.2-16-2017-00015) Győrben, a Széchenyi István Egyetemen a Stoyan Gisbert Szeminárium keretein belül a konzorciumvezető intézmény által koordinált ipari indíttatású rövid futamidejű projektek előadásaira kerül sor 2020.09.09./2020.09.11. napokon. Az esemény programja 2 tematikus napot foglal magába. 2020.09.09-én, …

2020.09.09., 12:05-12:35

Bácsi, Ádám SZE

Highly accurate numerical solution of the Navier-Stokes equations in pipes

Abstract:

The acoustic characterization is one of the key challenges in engineering exhaust systems of vehicles. In the seminar, I will present a numerical study of the exhaust gas flow both in the pipe of a simplified exhaust system and in the exhaust jet. The acoustic noise stems primarily from the highly turbulent fluid flow. To resolve eddies in the turbulent flow up to the levels required for acoustic characterization, Large Eddy Simulation is applied. The simulation results are also compared to experimental measurements.

Online location: https://meet.google.com/ckd-siwc-nvx?authuser=0

Kolumbán, Sándor: Optimizing train re-scheduling with reinforcement learning

Helyszín: Online, https://meet.google.com/pfp-yzpu-cbe?authuser=0 Időpont: 2020.06.30., 17:30 – 17:50 Kivonat: Applying reinforcement learning (RL) methods is a difficult task since these methods usually require a standardization of their inputs and in a similar way a standardization of the output – action – spaces. Usually, when applied to real-world problems, the success …