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Smiai O.,University of Genoa | Bellotti F.,University of Genoa | Gloria A.D.,University of Genoa | Berta R.,University of Genoa | And 3 more authors.
Proceedings - 18th Euromicro Conference on Digital System Design, DSD 2015

Dynamic charging of electric vehicle technology aims to deploy the use of electric vehicle on a large scale. In order to realize and achieve an effective and reliable system, the information and communication solutions (ICT) need to be developed. The ICT solutions look particularly to assess areas such as routing, booking of the charging lane, billing, vehicle identification, guidance to charging lane and assistance while charging. In this paper, we review the state of the art of ICT solutions and provide indications for the future research. © 2015 IEEE. Source

Arkoulis S.,National Technical University of Athens | Anifantis E.,National Technical University of Athens | Karyotis V.,National Technical University of Athens | Karyotis V.,Institute of Communications and Computer Systems ICCS | And 3 more authors.
Eurasip Journal on Wireless Communications and Networking

In this paper, we focus on increasing the spectrum awareness of cognitive radio users through statistical processing of spectrum sensing data, obtained via wideband energy-detection-based sensing techniques. Based on observations over real spectrum power measurements, we advocate the existence of correlation properties in the sensed power of measured neighboring channels and propose an inference methodology for exploiting them towards acquiring a more accurate view of the underlying wireless environment. To highlight the benefits of the proposed correlation-based inference methodology on cognitive radio systems, we emphasize on enhancements of white space discovery and channel selection processes, while we thoroughly discuss the impact of our findings on existing relevant approaches. Based on a systematic wireless spectrum survey in the metropolitan area of Athens, Greece, we validate our proposed methodology and assess the achieved performance improvements through the obtained measurement data, confirming its potential value in future cognitive radio networks. © 2014 Arkoulis et al.; licensee Springer. Source

Tsogas M.,Institute of Communications and Computer Systems ICCS | Floudas N.,Institute of Communications and Computer Systems ICCS | Lytrivis P.,Institute of Communications and Computer Systems ICCS | Karaseitanidis I.,Institute of Communications and Computer Systems ICCS | Amditis A.,Institute of Communications and Computer Systems ICCS
20th ITS World Congress Tokyo 2013

In the future, intelligent vehicles will rely on using a large number of sensors for perceiving effectively the road environment. So, efforts are focused on developing reliable algorithms for fusing data received from different sources of information, such as sensors and databases, installed on the vehicle. This paper focuses on the development of an algorithm for fusing information generated by the optical sensors of the vehicle (cameras) and data retrieved from a map-database in order to extract the geometry of the road where the vehicle is moving. By using multiple information sources the reliability of the system is increased significantly, since if a specific sensor stops providing data then the system will continue to work using information from the rest of the sensors. Source

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