By Ching-Hsien Hsu, Shangguang Wang, Ao Zhou, Ali Shawkat

ISBN-10: 3319519689

ISBN-13: 9783319519685

ISBN-10: 3319519697

ISBN-13: 9783319519692

This e-book constitutes the refereed court cases of the 3rd overseas convention on web of autos, IOV 2016, held in Nadi, Fiji, in December 2016.
The 22 complete papers provided have been rigorously reviewed and chosen from fifty five submissions. IOV 2016 is meant to play a major position for researchers and practitioners to replace information about developments within the kingdom of artwork and perform of IOV architectures, protocols, prone, and functions, in addition to to spot rising examine issues and outline the longer term instructions of IOV.

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Additional info for Internet of Vehicles – Technologies and Services: Third International Conference, IOV 2016, Nadi, Fiji, December 7–10, 2016, Proceedings

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Res. Part C. Emerg. Technol. 19(6), 1157–1170 (2011) 9. : A system for destination and future route prediction based on trajectory mining. Pervasive Mob. Comput. 6(6), 657–676 (2010) 10. : A system for destination and future route prediction based on trajectory mining. Pervasive Mob. Comput. 6(6), 657–676 (2010) 11. : Smart cameras: a review. In: Interfaces, Machines And Graphical Environments (IMAGEN) National Information and Communications Technology Australia (NICTA). Australian Technology Park, Bay 15 Locomotive Workshop Eveleigh, NSW 1430, Australia 12.

When the number of batches grows, the performance drops to around 3 frames per second. The results of two test data have similar behaviors. 4 Network Transmission Our smart car camera system can dynamically download and update the required models from cloud platform. According to [18], the downlink of current LTE network is much faster than that of the uplink. However, the model files of deep learning usually are usually very large, around hundred megabytes, even with compression. In unstable network environments, transmission of such files could cause a problem, because file transmission needs to restart after re-connection.

219–224. IEEE (2008) 6. : A survey of video processing techniques for traffic applications. Image Vision Comput. 21(4), 359–381 (2003) 7. : Prediction of pedestrians routes within a built environment in normal conditions. Expert Syst. Appl. 41(10), 4975–4988 (2014) 8. : Bus arrival time prediction at bus stop with multiple routes. Transp. Res. Part C. Emerg. Technol. 19(6), 1157–1170 (2011) 9. : A system for destination and future route prediction based on trajectory mining. Pervasive Mob. Comput.

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Internet of Vehicles – Technologies and Services: Third International Conference, IOV 2016, Nadi, Fiji, December 7–10, 2016, Proceedings by Ching-Hsien Hsu, Shangguang Wang, Ao Zhou, Ali Shawkat


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