Abstract
This paper presents an open platform, which collects multimodal environmental data related to air quality from several sources including official open sources, social media and citizens. Collecting and fusing different sources of air quality data into a unified air quality indicator is a highly challenging problem, leveraging recent advances in image analysis, open hardware, machine learning and data fusion. The collection of data from multiple sources aims at having complementary information, which is expected to result in increased geographical coverage and temporal granularity of air quality data. This diversity of sources constitutes also the main novelty of the platform presented compared with the existing applications.
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References
ActAQ! https://www.newschallenge.org/challenge/data/entries/actaq-an-air-pollution-mobile-app-with-you-mind
Aiello, L.M., Petkos, G., Martin, C., Corney, D., Papadopoulos, S., Skraba, R., Goker, A., Kompatsiaris, I., Jaimes, A.: Sensing trending topics in twitter. IEEE Trans. Multimedia 15(6), 1268–1282 (2013)
Air Visual. https://airvisual.com/
AirCasting. http://aircasting.org/
Amsterdam Smart Citizens Lab. https://waag.org/en/project/amsterdam-smart-citizens-lab
App for Kids to ID Asthma Attack Triggers. http://www.healthdatamanagement.com/news/App-for-Kids-to-ID-Asthma-Attack-Triggers-51675-1.html
Banshirne. http://banshirne.com/
CAPTOR. http://captor-project.eu/
Chen, H., Fan, H., Chau, M., Zeng, D.: Metaspider: meta-searching and categorization on the web. J. Am. Soc. Inform. Sci. Technol. 52(13), 1134–1147 (2001)
CITI-SENSE. http://www.citi-sense.eu/
Clean Air Nation (greenpeace India). http://www.greenpeace.org/india/clean-air-nation/
Cox, S., et al.: Observations and measurements-xml implementation. OGC document (2011)
Selectors Level 3. https://www.w3.org/TR/css3-selectors/
Denby, B., Schaap, M., Segers, A., Builtjes, P., Horálek, J.: Comparison of two data assimilation methods for assessing PM\(_{10}\) exceedances on the European scale. Atmos. Environ. 42(30), 7122–7134 (2008). http://www.sciencedirect.com/science/article/pii/S1352231008005803
Epitropou, V., Karatzas, K.D., Bassoukos, A., Kukkonen, J., Balk, T.: A new environmental image processing method for chemical weather forecasts in Europe. In: Golinska, P., Fertsch, M., Marx-Gómez, J. (eds.) Information Technologies in Environmental Engineering. Environmental Science and Engineering, vol. 3, pp. 781–791. Springer, Heidelberg (2011)
idokep. www.idokep.hu
iSCAPE. http://horizon2020projects.com/sc-climate-action/h2020-making-cities-sustainable/
Johansson, L., Epitropou, V., Karatzas, K., Karppinen, A., Wanner, L., Vrochidis, S., Bassoukos, A., Kukkonen, J., Kompatsiaris, I.: Fusion of meteorological and air quality data extracted from the web for personalized environmental information services. Environ. Model. Softw. 64, 143–155 (2015)
Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097–1105 (2012)
Markatopoulou, F., Mezaris, V., Pittaras, N., Patras, I.: Local features and a two-layer stacking architecture for semantic concept detection in video. IEEE Trans. Emerg. Top. Comput. 3(2), 193–204 (2015)
Na, A., Priest, M.: Sensor observation service. Implementation Standard OGC (2007)
Oyama, S., Kokubo, T., Ishida, T.: Domain-specific web search with keyword spices. IEEE Trans. Knowl. Data Eng. 16(1), 17–27 (2004)
PASODOBLE. http://lap.physics.auth.gr/pasodoble.asp
PSoC. http://www.cypress.com/products/psoc-4-ble-bluetooth-smart
Ricchiazzi, P., Yang, S., Gautier, C., Sowle, D.: Sbdart: a research and teaching software tool for plane-parallel radiative transfer in the earth’s atmosphere. Bull. Am. Meteorol. Soc. 79(10), 2101–2114 (1998)
Saito, M., Iwabuchi, H.: A new method of measuring aerosol optical properties from digital twilight photographs. Atmos. Meas. Tech. 8(10), 4295–4311 (2015)
Tang, M., Agrawal, P., Pongpaichet, S., Jain, R.: Geospatial interpolation analytics for data streams in eventshop. In: 2015 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6. IEEE (2015)
Ubreathe. http://ee.ricardo.com/ubreathe/
Uijlings, J.R., van de Sande, K.E., Gevers, T., Smeulders, A.W.: Selective search for object recognition. Int. J. Comput. Vision 104(2), 154–171 (2013)
World Air quality. https://itunes.apple.com/us/app/world-air-quality/id396958256?mt=8
XML Path Language (XPath). https://www.w3.org/TR/xpath20/
Zerefos, C., Tetsis, P., Kazantzidis, A., Amiridis, V., Zerefos, S., Luterbacher, J., Eleftheratos, K., Gerasopoulos, E., Kazadzis, S., Papayannis, A.: Further evidence of important environmental information content in red-to-green ratios as depicted in paintings by great masters. Atmos. Chem. Phys. 14(6), 2987–3015 (2014)
Zheng, H.T., Kang, B.Y., Kim, H.G.: An ontology-based approach to learnable focused crawling. Inf. Sci. 178(23), 4512–4522 (2008)
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This work is partially funded by the European Commission under the contract number H2020-688363 hackAIR.
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Moumtzidou, A. et al. (2016). Towards Air Quality Estimation Using Collected Multimodal Environmental Data. In: Satsiou, A., et al. Collective Online Platforms for Financial and Environmental Awareness. IFIN ISEM 2016 2016. Lecture Notes in Computer Science(), vol 10078. Springer, Cham. https://doi.org/10.1007/978-3-319-50237-3_7
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