As an essential branch of web service applications, the location-based service (LBS) plays
an irreplaceable role in our daily lives. Usually, the LBS is time-sensitive, which requires the …

Existing smart city systems are designed mainly for urban management from a governmental
perspective, but they fail to cover the wide spectrum of citizens' daily lives. We propose a …

Due to the strong anti-destructive ability, global coverage, and independent infrastructure of
the space-based Internet of Things (S-IoT), it is one of the most important ways to achieve a …

Matrix completion has important applications in trajectory recovery and mobile social
networks. However, sending raw data containing personal, sensitive information to cloud …

As trajectory plays an important role in intelligent transportation systems, achieving trajectory
recovery from gradients is of great value. Existing research has shown that federated …

Due to the strict energy limitation and the common vulnerability of WSNs, providing efficient
and security data gathering in WSNs becomes an essential problem. Compressive data …

Crowdsensing has been recognized as an innovative data gathering paradigm. For efficient
management of workers and data collection, the physical area is often divided into multiple …

Data loss and privacy exposure are two major issues in many applications such as trajectory
tracking and online recommendations. The homomorphic matrix completion (HMC) is a …

In various applications such as trajectory tracking in mobile social networks and online
recommendation systems, the massive raw data are often incomplete due to various …

In this study, we demonstrate the effectiveness of using extended light sources for modeling
the appearance of an object for varying illumination. Extended light sources have a radiance …