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Title: The influence of the surface topography of distributed sensor networks on perception
Authors: Özkan, Özün Beyhan
Tosun, Öykü Ece
Arslan, Arda
Gençer, İsmail Cenk
Özçetin, Mustafa
Serindağ, Yelda
Memiş, Korhan
Özdemir, Serhan
Keywords: Compound eyes
Contrast enhancement
Sensor networks
Lateral inhibition
Issue Date: 2012
Publisher: CSREA Press
Source: Özkan, Ö. B., Tosun, Ö. E., Arslan, A., Gençer, İ. C., Özçetin, M., Serindağ, Y., Memiş, K., and Özdemir, S. (2012, July). The influence of the surface topography of distributed sensor networks on perception. In H. R. Arabnia [and others] (Eds), ICAI 2012. Paper presented at the Proceedings of the 2012 International Conference on Artificial Intelligence, Las Vegas, United States (pp. 490-493). Las Vegas: CSREA Press.
Abstract: This work investigates the effects of surface topography of the distributed sensor networks on perception through the differences in sensor readings. Compound eyes are found in some insects and crustaceans. Lateral inhibition is a biological signal processing which can increase contrast, enhancing perception. It is known that eye convexity helps increase field of view (FOV). A series of experiments were carried out to understand the effect of surface topography on local contrast gradient. Two sets of sensor networks of 5 × 5 were constructed. In the first network the board holding the sensors was a flat circuit board, whereas the second one was given a radius of curvature of roughly 30 cm. All readings were recorded in a dark chamber. Sensor networks were illuminated by a light source whose coordinates could be adjusted. Results are tabulated. It is seen that eye convexity in compound eyes improves perception, as well as FOV.
Description: International Conference on Artificial Intelligence, ICAI 2012; Las Vegas, NV; United States; 16 July 2012 through 19 July 2012
ISBN: 9781601322180
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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