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This software architecture can be applied in many situations where sensitive data is collected and must be aggregated in order to anonymize and produce meaningful information.
In addition, once these data are recorded, they can be aggregated in order to analyze the city's spatial structure and function [20 27] and they have also been successfully tested against more traditional data sources [28 30].
It uses an ontology-based information integration architecture (ActOn) suitable for the highly dynamic distributed information sources available in Grid systems, where information changes frequently and where the information of distributed sources has to be aggregated in order to solve complex queries.
Because multiple probes are mapped to a single gene or transcript, the probe-level data needs to be aggregated in order to obtain a gene-level or transcript-level expression value, which invariably raises issues of accuracy.
CRGs, at the discretion of the user, can then be aggregated in order to reduce the number of groups.
The original problem itself will be aggregated in order to compute estimates for different states and then disaggregated back in order to obtain an approximate solution for the original problem at hand.
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Egocentric network data was aggregated in order to enable applications of complete SNA.
The opinions of the experts are aggregated in order to yield a weighted-sum-based risk indicator.
At user level a series of magnitudes extracted from call traces are aggregated in order to calculate different metrics, e.g., the experimented average SNR in a dedicated channel or the voice call drop rate.
Lastly, calculation of the high-level ATOL: the individual ATOL indicators are aggregated in order to obtain the ATOL indicator at cell level by means of the following average: text{ATOL}_{text{average}}=frac{sum_{i=1}^{text{NumTrackedIRATs}}text{duration}_{text{LTE}_{i}}}{sum_{i=1}^{text{NumTrackedIRATs}}text{duration}_{text{total}_{i}}} (6).
In addition, the statistics of prior information have been aggregated in the state vector in order to capture the prior uncertainties of non-Gaussian parameters.
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