Sentence examples for multiple heterogeneous systems from inspiring English sources
Current wireless world witnesses multiple heterogeneous systems such as Bluetooth, IEEE 802.11, UMTS, and satellite networks.
In the context of the Digital Home, where multiple heterogeneous systems live together, many efforts have been made to achieve the standardization that will guarantee the interoperability among them.
Operating at the block layer makes the solution independent of the file system layer above, enabling it with the flexibility to support multiple heterogeneous file systems simultaneously [8, 10].
A distributed IDS is a framework where multiple heterogeneous IDS systems are deployed to sniff the incoming network traffic.
Therefore, multiple services running over heterogeneous systems may then interact and be used as building blocks for new applications (Papazoglou et al. [2007]).
Preparing mechanisms for slices interconnection to provide E2E slicing in dynamic heterogeneous systems with multiple tenants; Development of secure management of slices creation, modification, and deletion; Enabling accounting for slices' users and ensuring non-repudiated access to slices.
The network slicing area: Preparing mechanisms for slices interconnection to provide E2E slicing in dynamic heterogeneous systems with multiple tenants; Development of secure management of slices creation, modification, and deletion; Enabling accounting for slices' users and ensuring non-repudiated access to slices.
Moreover, systems with multiple heterogeneous processing units have been widely adopted to enhance the computing capability or reduce the power consumption.
Finally, the proposed approach is realized in a real-time co-design environment consisting of multiple heterogeneous computer-aided design (CAD) systems, which proves the feasibility of the approach in the industrial implementation.
CHI identification is instrumental in enabling the aggregation of patient data from multiple heterogeneous clinical data repositories and systems.
The system is designed to simultaneously support multiple heterogeneous intelligent methodologies, such as neural networks, expert systems, fuzzy logic, neural networks and genetic algorithms.
