In this paper, we address mixed-criticality applications characterized by their safety criticality
and time-dependent performance, which are virtualized on a Fog Computing Platform (FCP) …

Embedded devices are gaining popularity day by day due to the expanded use of Internet of
Things applications. However, these embedded devices have limited capabilities …

With the rapid development of the Internet of Things (IoT) and artificial intelligence,
autonomous vehicles have received much attention in recent years. Safe driving is one of …

This article presents multiple cross-layer methods to ensure security as well as functional
correctness of automotive systems. These approaches tie together multiple abstraction …

Nonlinear control and signal scheduling are the two difficulties for wireless networked
control application in aero-engine. For aero-engine nonlinear complex flight conditions, the …

Considering the advancements in autonomous driving technologies, the necessity for an
advanced driver assistance system (ADAS) to incorporate a multitude of sensors for …

When developing an automobile control application, its scheduling parameters as well as
the control algorithm itself should be carefully optimized to achieve the best control …

Due to the rapid advancements in automotive technologies, vehicles now rely on additional
high-speed sensors. This development has led to an increase in transmission rates and …

Abstract Artificial Neural Networks results from an experimental study on the heat transfer
and flow characteristics in channels with baffles are presented. Nine different types of …

Automobile control systems should be designed for optimal control performance through
efficiently utilizing its underlying hardware resources like CPU. For this purpose, lots of real …