Sentence examples for interoperability analysis from inspiring English sources

Interoperability analysis is highly correlated with interoperability requirements, the ability to grasp, structure, author and verify such requirements has become fundamental to the analytical process.

These dimensions of conceptual, technological, and organisational barriers are used in the paper of Hoel and Chen (2014) and are a refinement of the categories used in enterprise interoperability analysis (Chen and Daclin 2006).

The technical standards for interoperability (TSI) analysis showed that the slipstream velocities generated were below half of the maximum permissible value of the standard whereas the pressure was 43% greater than the limiting value.

This places a severe limitation on the fundamental reliability and accuracy that can be assigned to satellite derived information, and is particularly critical for long time base studies for climate change and enabling interoperability and Analysis Ready Data.

NetWalker architecture is designed to enable network analyses based on holistic (i.e. no cutoff) integration of experimental data with a priori networks and to allow extensive interoperability between analysis components and with external applications.

Furthermore, because computational tasks are explicitly specified and service invocation is controlled, SADI allows for a greater reproducibility and interoperability of computational analysis.

Despite the popularity of Big Data nowadays and the existence of solutions to handle the afferent challenges (with respect to storage, management, interoperability, governance and analysis), putting these solutions into practice is still a time consuming endeavor.

It can encompass, proliferate and impact several enhanced features such as rapid analysis, interoperability among devices, increased response time, centralized or machine-to-machine management, low bandwidth consumption, efficient power consumption, device abstraction and many others.

Interoperability with downstream analysis as all outputs are in VCF format.

This type of data format lacks the information necessary to support a meaningful analysis, interoperability and integration of multiple resources.

Table 1 summarizes various efforts to develop environments for tool integration, interoperability and meta-analysis [13].