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Moreover, the impacts from IT/IS on engineering projects are rarely based on real data of projects.
Through analyzing the field-testing data of projects and investigating of different residential consumers, it was found that compared to actual hot water consumption the solar domestic hot water systems were generally designed too large in capacity, which means the designed hot water demand is much greater than actual user consumption.
From a practical point of view, an approach that generates specific models according to changing data of projects is an advantage.
These criteria can be identified from data of projects stored in the measurement repository, interviews with projects members and projects documents.
That is, there is no formal characterization to the projects, but it is possible to identify a characterization by analyzing data of projects stored in the measurement repository, carrying out interviews with projects members and analyzing projects documents.
Problem I: The projects have an implicit characterization in the measurement repositoryActions for Suitability: (a) Define explicitly the projects characterization by analyzing data of projects that are stored in the measurement repository.
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By following a knowledge-base creation process, the factual data of project, workers, and teaming factors can be inserted into ontologies.
For the analysis of the present study, mainly the face-to-face interview data of project leaders were used.
The software includes a data base of projects, patients and individual measurements.
This was achieved by capturing the relation between the design change of refresh projects with their required physical tests and the historical data of previous projects.
The Infinium HumanMethylation450K BeadChip data and RNA-seq data of TCGA projects were obtained from the website (https://tcga-data.nci.nih.gov).
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