Sentence examples for data collection architecture from inspiring English sources
Thus, these researches construct the effective data collection architecture based on the graph model transferred from the predefined mobility profile.
We have also tailored the UML 2.0 Testing Profile so architects can model the performance testing and data collection architecture in a standards compatible way.
Previous work by the authors presented a specific emergency department data collection application and architecture and extended it to a wide area Hospital/ED/Ambulance and patient diversion framework [18].
We compare the performance of data collection of both architectures with respect to real-time monitoring, load peak identification, and automated regulation.
Early work on the Atlas was conducted by the Directorate General for Maritime Affairs of the European Commission, while further development of system architecture, data collection, map services and descriptive text was assigned in 2013 to the Joint Research Centre, with the aim to offer new services and features, as well as the interaction with other available information tools.
The downsides are the high effort of data collection as well as Application Architecture documentation.
HESA has ultimately been positioned to construct the hidden architecture of data collection necessary to the enactment of the 2017 Higher Education and Research Act.
Powerful and politically-connected figures such as Michael Barber, chair of the new Office for Students, are driving forward a reformatory agenda that puts market competition and metrics at the core of HE, with Data Futures as its hidden architecture for data collection and measurement.
Participatory action research (PAR) methods were used for the integrated development of the architecture, research data collection and analysis [ 12].
61 Finally, when EEG recording is possible from the frontal electrodes, the bispectral index may provide some information regarding depth of anesthesia (sedation), but it does not give any information about sleep architecture, and data collection is often inconsistent.
Furthermore, the strength of many well adopted data collection tools are the plugin architectures and vast plugin libraries that enable existing tools to obtain data from new applications.
