Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …

The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …

Directional distribution analysis has long served as a fundamental functionality in
abstracting dispersion and orientation of spatial datasets. Spatial datasets that describe …

Collecting and analyzing massive data generated from smart devices have become
increasingly pervasive in crowdsensing, which are the building blocks for data-driven …

The widespread use of mobile devices such as smartphones, tablets, and smartwatches has
led users to constantly generate various location data during their daily activities …

The prevalence of mobile Internet, smart terminal devices, and GPS positioning technology
has generated a vast number of trajectory data that location-based applications can utilize …

Privacy preserving in machine learning is a crucial issue in industry informatics since data
used for training in industries usually contain sensitive information. Existing differentially …

Traditional correlated differential privacy technology usually introduces too much noise,
reducing data availability. Besides, machine learning often confronts training sets of high …

New generation head-mounted displays, such as VR and AR glasses, are coming into the
market with already integrated eye tracking and are expected to enable novel ways of …

Most existing recommender systems leverage users' complete original behavioral logs,
which are collected from mobile devices and stored by the service provider and further fed …