Titlebook: Wireless Algorithms, Systems, and Applications; 11th International C Qing Yang,Wei Yu,Yacine Challal Conference proceedings 2016 Springer I

構(gòu)想

Multi-path Reliable Routing with Pipeline Schedule in Wireless Sensor Networks,tion occurs, and the protocol can keep the data transmission rate unchangeable, and the proposed routing protocol can choose other path to transmit data in order to reduce the number of data missing. Simulation results indicate that the proposed protocol can deal with congestion and improves the network throughput effectively.

dry-eye

強(qiáng)制性

ALT

,Tensor Filter: Collaborative Path Inference from?GPS Snippets of Vehicles,ing a large scale real world dataset, which has one-month location data from more than eight thousand taxis in Beijing. The evaluation results show that our method outperforms state-of-the-art techniques.

Neuropeptides

SHMDRS: A Smartphone-Based Human Motion Detection and Response System,the methods for detecting the human motion and responding accordingly are also given. Comparing with the traditional systems, the newly-proposed motion detection system is server-free and does not require any special devices. Moreover, the location-aware problem is also considered while designing the response module in the system.

curettage

Conference proceedings 2016o, effective and efficientstate-of-the-art algorithm design and analysis, reliable and securesystem development and implementations, experimental study and testbedvalidation, and new application exploration in wireless networks..

Endometrium

Tefnut: An Accurate Smartphone Based Rain Detection System in Vehicles,er constructed from a series of refined features. We conduct extensive experiments, and evaluation results demonstrate that Tefnut can detect the rain with 96.0?% true positive rate, when deciding with a one-second-long in-vehicle audio segment only.

使隔離

過于平凡

Distributed Constrained Optimization Over Cloud-Based Multi-agent Networks,layer. They exchange their intermediate variables so as to collaboratively obtain a network-wide optimal solution. Numerical experiments demonstrate the effectiveness of the proposed distributed constrained optimization algorithm.

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