The Impact of Commonly Overlooked Faults in Combined Heat Distribution Circuits: Analysis of Heat Meter Data

Autor: Van Minnebruggen Senne, Jacobs Stef, Verhaert Ivan, Hellinckx Peter

Publikováno v: E3S Web of Conferences, Vol 562, p 10002 (2024)

This study analyses the in-situ performance of Combined Heat Distribution Circuit systems and Heat Interface Units to address commonly overlooked faults. Using data from energy meters, including gas meters and automated heat meter readings from seven

Externí odkaz: https://doaj.org/article/d93cc73c175547f392cbd8eff265b40f

Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning

Autor: Herremans, Siemen, Anwar, Ali, Troch, Arne, Ravijts, Ian, Vangeneugden, Maarten, Mercelis, Siegfried, Hellinckx, Peter

Publikováno v: Proceedings of the ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. Volume 5: Ocean Engineering. Melbourne, Australia. June 11-16, 2023. V005T06A072. ASME

Autonomous shipping has recently gained much interest in the research community. However, little research focuses on inland - and port navigation, even though this is identified by countries such as Belgium and the Netherlands as an essential step to

Externí odkaz: http://arxiv.org/abs/2312.05257

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning

Autor: Vanneste, Astrid, Somers, Thomas, Vanneste, Simon, Mets, Kevin, De Schepper, Tom, Mercelis, Siegfried, Hellinckx, Peter

Many multi-agent systems require inter-agent communication to properly achieve their goal. By learning the communication protocol alongside the action protocol using multi-agent reinforcement learning techniques, the agents gain the flexibility to de

Externí odkaz: http://arxiv.org/abs/2308.04844

Deep set conditioned latent representations for action recognition

Autor: Singh, Akash, De Schepper, Tom, Mets, Kevin, Hellinckx, Peter, Oramas, Jose, Latre, Steven

Publikováno v: In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-555-5; ISSN 2184-4321, year 2022, pages 456-466

In recent years multi-label, multi-class video action recognition has gained significant popularity. While reasoning over temporally connected atomic actions is mundane for intelligent species, standard artificial neural networks (ANN) still struggle

Externí odkaz: http://arxiv.org/abs/2212.11030

Building automation and control systems for office buildings: Technical insights for effective facility management - A literature review

Autor: van Roosmale, S., Hellinckx, P., Meysman, J., Verbeke, S., Audenaert, A.

Publikováno v: In Journal of Building Engineering 15 November 2024 97