Sentence examples for data from different systems from inspiring English sources

Besides, with a view to different information technology systems existing in companies, how to merge all these relevant data from different systems to the implementation of Cyber-Physical systems arises as another problem.

This specificity not only makes it difficult to compare data from different systems, as it can influence the accuracy and reliability of the recorded information, but also causes some systems to be inappropriate for particular objects.

SiSO was qualitatively evaluated with six employees of three different companies and found useful in two application fields: (a) the visualization and automation of business processes and (b) the creation of calculations using data from different systems and sources.

Integrating data from different systems biology data sources almost always translates into further data curation, which may be prone to errors, and needs extensive domain expertise.

In this paper, we have described the architecture and database design and modeling issues of PathCase-SB, which integrates data from different systems biology data sources (BioModels Database and CellML) and a metabolic network data source (KEGG).

An important point is that none of these approaches rely on matching comparable time points between experiments, and thus we use them to compare data from different systems with very different sampling times and dynamics.

Often systems need to aggregate data coming from different systems, and to reason and derive conclusions from these data.

Use of this technique, along with the integration experimental data obtained from different systems, has allowed us to address the question of how granulomas are induced, the role of the immune response in their formation and how their formation influences the bacillary growth.

The current approach for capturing data that originate from different systems biology and biochemical network databases is to have separate tables for common entities of different systems biology and/or biochemical network data sources, e.g., BioModels Database and KEGG data sources.

To achieve this, pre-post analyses will be performed using data from different information systems - i.e. laboratory information systems, operating room information systems, and telepathology visualization and communication systems - available at each hospital.

55 All data collection will be performed using the MyoResearch XP software to ensure that the data from the different systems remain synchronised.