Titlebook: Internet of Vehicles - Safe and Intelligent Mobility; Second International Ching-Hsien Hsu,Feng Xia,Shangguang Wang Conference proceedings

BID

书目名称Internet of Vehicles - Safe and Intelligent Mobility影响因子(影响力)




书目名称Internet of Vehicles - Safe and Intelligent Mobility影响因子(影响力)学科排名




书目名称Internet of Vehicles - Safe and Intelligent Mobility网络公开度




书目名称Internet of Vehicles - Safe and Intelligent Mobility网络公开度学科排名




书目名称Internet of Vehicles - Safe and Intelligent Mobility被引频次




书目名称Internet of Vehicles - Safe and Intelligent Mobility被引频次学科排名




书目名称Internet of Vehicles - Safe and Intelligent Mobility年度引用




书目名称Internet of Vehicles - Safe and Intelligent Mobility年度引用学科排名




书目名称Internet of Vehicles - Safe and Intelligent Mobility读者反馈




书目名称Internet of Vehicles - Safe and Intelligent Mobility读者反馈学科排名

Noisome

Real-Time Location System and Applied Research Reportn achieve high positioning accuracy, positioning accuracy in 13 meters within a range of positioning accuracy 91.7 % in the 7.8 m range positioning accuracy was 83.3 %, correct positioning accuracy was 79.2 %.

profligate

Encoding

A Novel Data Sharing Mechanism via Cloud-Based Dynamic Audit for Social Internet of Vehiclesg a third party auditor in the cloud. Experiments results demonstrate that the proposed scheme can significantly improve efficiency of auditing tasks compared with the existing vehicle-based countermeasures.

改变立场

Nighttime Vehicle Detection for Heavy Trucks and AdaBoost. We then detect vehicles in these pre-processed images. Experiments are performed using two alternative methods. Results show that our method, i.e. combining threshold pre-processing and training a classifier, is more accurate and robust than the other two methods.

无孔

Conference proceedings 2015cember 2015..The 40 full papers presented were carefully reviewed and selected from.128 submissions. They focus on the following topics: IOV architectures and.applications; intelligent mobility; V2V and M2M communications; and modeling and simulations..

thyroid-hormone

Temporal Centrality Prediction in Opportunistic Mobile Social Networksd methods. The results show that the Recent Uniform Average method performs best when predicting the future Betweenness centrality, and the Periodical Average Method performs best when predicting the future Closeness centrality in the MIT Reality trace. Moreover, the Recent Uniform Average method performs best in the Infocom 06 trace.

代替

变量

A Quality Analysis Method for the Fuel-level Data of IOVabase, with coefficient of variance (COV) and dispensation (COD) as feature attributes. Moreover, the accuracy indicators F-score and PPV of the classifier are used to determine the optimal threshold of the classifier. Our experiments on large real datasets show the feasibility and practical utility of proposed methods.

记忆法