A cyber-physical system (CPS) integrates various interconnected physical processes,
computing resources, and networking units, as well as monitors the process and …

The design of modern embedded systems becomes more complex every day, due to the
increasing amount of components and distinct functionalities incorporated into a single …

Model-driven design (MDD) can be perceived in the recent literature as an option to deal
with the increasing complexity of the design of distributed embedded real-time systems …

A natural sequel to edge detection is the interpretation of edges. This interpretation can
provide useful information to various computer vision processes, including recognition …

The centralized thin client computing environment offers a solution to the vulnerability of
desktops to viruses, trojan horses and worms. It also releases the user from regular software …

Currently, the design of distributed embedded real-time systems is growing in complexity
due to the increasing amount of distinct functionalities that a single system must perform …

Cyber-physical systems (CPSs) are physical and engineered systems whose operations are
monitored. Cyber-physical systems having quality-of-service (QoS) requirements driven by …

Middleware facilitates the development of distributed systems by accommodating
heterogeneity, hiding distribution details and providing a set of common and domain specific …

Model-driven engineering addresses issues of platform heterogeneity and code quality
through the use of high-level system models and subsequent automatic transformations …

Distributing the workload upon all available Processing Units (PUs) of a high-performance
heterogeneous platform (eg, PCs composed by CPU–GPUs) is a challenging task, since the …