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Adaptive Array Antenna Systems with Machine Learning Based Image Recognitions for Vehicular Delay Tolerant Networking

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2017)

Abstract

Although the V2V communication expects us to produce new applications of ITS, there are difficulties of the wireless connections in case of the vehicles such as the rapid movements or obstacles as well as the radio characteristics. This paper introduces the Delay Tolerant Network System with the Adaptive Array Antenna to realize the longer and stable wireless connections between vehicles, and the proposed methods consists of the adaptive antenna directions controls by using the machine learning based image recognitions for the assumed usages. Then, the prototype system and the experimental reports are discussed for the future studies in the paper.

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References

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Correspondence to Noriki Uchida .

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Uchida, N., Ishida, T., Shibata, Y. (2018). Adaptive Array Antenna Systems with Machine Learning Based Image Recognitions for Vehicular Delay Tolerant Networking. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_50

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  • DOI: https://doi.org/10.1007/978-3-319-69835-9_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69834-2

  • Online ISBN: 978-3-319-69835-9

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