Peng Shi

TL;DR: A logical tree-based secure mobility management scheme (LT-SMM) using mobile service computing in IoT, which includes the group deployment phase where smart devices securely setup a group by registering with group heads for future secure information exchange.

TL;DR: A novel parallel recommender system based on collaborative filtering with correntropy that could effectively improve the computational time and achieve satisfactory performance though invalid data existed and the Spark framework was employed to facilitate parallel computing.

TL;DR: It is found that in the early stage of popularity evolution, no matter which factor is used as the input, the prediction effect is poor and the hashtag string factor has the weakest contribution to popularity prediction in the middle and late stages of popularity Evolution.

TL;DR: Some typical ANN applications for predicting various properties (corrosion, structural, tribological and so on) of different materials serving multiple environments (atmosphere, stress, weld, etc.) are reviewed in this article.

TL;DR: A source locating method that consists of an estimator based on the correlation coefficient and a matrix to represent the diffusion time delay between nodes approximately is proposed that is superior to the state-of-the-art method on the asynchronous diffusion process in three types of networks.