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Thus, three major issues must be considered as part of a quantitative analysis of cost-efficient resource consumption: (1) why resources are used, i.e. the objective of collecting data, (2) how much resources are required to fulfil the objective, expressed in terms of unit-costs, and (3) whether the intended strategy for resource consumption is feasible.
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Third, the ability to use statistical analysis techniques allowed for objective and impartial analysis and summarisation of collected data [ 23].
The UAH-DriveSet is an open dataset obtained by the driving monitoring app "DriveSafe" with the objective of collecting driving data in different environments using smartphones sensors alone.
The study was designed with the primary objective of collecting prospective data on post-injection delirium/sedation syndrome (PDSS), an adverse event that has been reported during treatment with this formulation [ 22, 23].
As depicted by Figure 1 illustrating the architecture proposed by Akyildiz et al. in [1], a WSN is a network communicating using a many-to-one model with a number of sensor nodes scattered into a target observation area with objective of collecting and routing data to the end users via a single sink node also called base station.
SINAN was developed in the early 90s, with the objective of collecting and processing data on disease notification throughout the country.
The Epilepsy Phenome/Genome Project (EPGP) is a large-scale, multi-institutional, collaborative network of 27 epilepsy centers throughout the U.S., Australia, and Argentina, with the objective of collecting detailed phenotypic and genetic data on a large number of epilepsy participants.
The limited scope of the study prevented us from collecting data on additional measures pertinent to our objective.
Our objectives were to collect data on the prevalence of leishmaniasis in that area and evidence for peridomestic Leishmania transmission.
This is the usual procedure in student research, but its value is open to question, particularly if the objective is to systematically collect data free of potential bias due to interaction between university staff and students.
The chart allows us to identify which data sequences are the most relevant according to the study objective, as a large quantity of the collected data always prove not to be important (e.g. walking down the corridors, waiting for the results of tests, the clinicians having breaks).
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