Sahar Asadi and Sepideh Pashami and Amy Loutfi and Achim J. Lilienthal
TD Kernel DM+V: Time-Dependent Statistical Gas Distribution Modelling on Simulated Measurements
AIP Conference Proceedings Volume 1362: Olfaction and Electronic Nose - Proceedings of the 14th International Symposium on Olfaction and Electronic Nose (ISOEN), May 2-5, NY, USA.
Abstract: 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 which 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 to build 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 to obtain 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. 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.
Keywords: time-dependent modelling, statistical gas distribution models, gas dispersial simulation.
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@INPROCEEDINGS{Asadi_etal:ISOEN:2011,
  AUTHOR = {Sahar Asadi and Sepideh Pashami and Amy Loutfi and Achim J. Lilienthal},
  TITLE = {TD Kernel DM+V: Time-Dependent Statistical Gas Distribution Modelling on Simulated Measurements},
  BOOKTITLE = {AIP Conference Proceedings Volume 1362: Olfaction and Electronic Nose - Proceedings of the 14th International Symposium on Olfaction and Electronic Nose (ISOEN)},
  PAGES = {281--283},
  YEAR = {2011}
}