TD Kernel DM+V: time-dependent statistical gas distribution modelling on simulated measurements
2011 (English)In: Olfaction and Electronic Nose: proceedings of the 14th International Symposium on Olfaction and Electronic Nose (ISOEN) / [ed] Perena Gouma, Springer Science+Business Media B.V., 2011, 281-282 p.Conference paper, Presentation (Refereed)
To study gas dispersion, several statistical gas distribution modelling approaches have been proposed recently. A crucial assumption in these approaches is that gas distribution models are learned from measurements that are generated by a time-invariant random process. While a time-independent random process can capture certain fluctuations in the gas distribution, more accurate models can be obtained by modelling changes in the random process over time. In this work we propose a time-scale parameter that relates the age of measurements to their validity for building the gas distribution model in a recency function. The parameters of the recency function define a time-scale and can be learned. The time-scale represents a compromise between two conflicting requirements for obtaining accurate gas distribution models: using as many measurements as possible and using only very recent measurements. We have studied several recency functions in a time-dependent extension of the Kernel DM+V algorithm (TD Kernel DM+V). Based on real-world experiments and simulations of gas dispersal (presented in this paper) we demonstrate that TD Kernel DM+V improves the obtained gas distribution models in dynamic situations. This represents an important step towards statistical modelling of evolving gas distributions.
Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2011. 281-282 p.
, AIP Conference Proceedings, 1362
Signal Processing Robotics
Research subject Computer and Systems Science
IdentifiersURN: urn:nbn:se:oru:diva-24101DOI: 10.1063/1.3651651ISBN: 978-0-7354-0920-0OAI: oai:DiVA.org:oru-24101DiVA: diva2:540989
14th International Symposium on Olfaction and Electronic Nose (ISOEN), 2–5 May 2011, New York City, NY (USA)
FunderEU, FP7, Seventh Framework Programme, FP7-224318-DIADEM