Sentence examples for model data acquisition from inspiring English sources

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TMK was a primary contributor to model design, model data acquisition and meta-analysis, programming, and methodology review.

SW was involved in the development of the motion analysis model, data acquisition, data interpretation and manuscript approval.

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It eliminates the frequent tasks, Understanding the Domain and Understanding the Data, from the known models and replaces these tasks by the following tasks: Data Modeling, Data Acquisition, and Data Validation.

A model for data acquisition, which forms the basis of the motivation and analysis of the work presented in this paper, forms the remainder of this section.

The uniform applications interface consists of common applications services model, UCA data acquisition and control (DAC) client, UCA data repository, and UCA DAC server.

The ACFs are in the same resolution as the emission data, i.e., they were computed along the exact same LORs which were used to model the data acquisition process given by Eq. (3).

On one hand, it reveals power system present state to dispatcher model through data acquisition, data processing, event and alarm processing, remote adjustment and control, man-machine interface, etc.

Section 3 presents a model for data acquisition, which is subsequently analyzed in Section 4. Sections 5 and 6 provide details of the DF‐VC and RRSS algorithms, respectively.

Three channels of data (torque, angular displacement and time) are recorded on a Dell computer using a 16 bit Data Translation model DT322 data acquisition board and Data Translation Measure Foundry data acquisition software (Data Translation Inc., Marlboro, MA).

To enlarge the CTH cohort, a modular model for data acquisition will be designed comprising a basic module and complementary modules taking into account a varying depth of phenotyping (ie, data acquisition on individuals) in the participating study centres.

However, highway agencies usually have to deal with fragmented databases, multiple incompatible models, redundant data acquisition efforts, and sub-optimal coordination between the various agencies or departments operating on the same highway facilities (Chi et al. 2013; Ziliaskopoulos and Waller 2000).

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