In this paper, we present a novel methodology, based on a visual graph transformation and graph constraint language, for developing incremental topology control algorithms that are guaranteed to fulfill a set of specified consistency and optimization constraints.
However, in its present form, the theory is not sufficiently detailed to address the complex computational problem of finding the best way to parse a visual image given a set of local consistency constraints (for computational approaches, see, e.g., Barbu & Zhu, 2003; Borenstein & Ullman, 2008; Sharon, Galun, Sharon, Basri, & Brandt, 2006).
This online data management system was based on the Google platform and data entered in the online form were stored in an online spreadsheet, which incorporated a comprehensive set of consistency rules to provide concurrent data quality check.
Following Adams (1981), we might wish to use the concept of possibility to gloss the notion of consistency: a set of propositions is consistent if and only if those propositions could all be true together.
At the data entry level, a set of logical and consistency checks of the basic variables (e.g. sex, age, and the period of residence in the study area) ensure internal coherence of the data.
Interindividual variances of H3K4me3, H3K9ac, and H3K9me2 were larger compared with intraindividual variance in both exposure test groups, resulting in reliability coefficients (an estimate of consistency of a set of measurements) of 0.60, 0.67, and 0.79 for H3K4me3, H3K9ac, and H3K9me2, respectively, for Ni-exposed subjects and of 0.75, 0.74, and 0.97, respectively, for referent subjects.
To guarantee this consistency, a set of interface documents is being prepared.
The miners can verify the validity of certificates following a set of rules to ensure ownership consistency, and allow an identity to bind multiple public-key certificates.
