Sentence examples for data acquisition features from inspiring English sources

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This work demonstrates that the implementation of several important data acquisition features can produce large enhancements in the characterization of proteins observed during TDPs investigation.

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This section focuses on data acquisition, feature extractions, simulation of the ensemble algorithm and statistical evaluation of the prediction results.

The test application continuously samples a sensor at 10 Hz, calculates the maximum, the minimum, and the mean over 10 samples, and sends them to another node (As such, the test application implements a typical processing structure found in accelerometer-based activity recognition system before classification: sensor data acquisition, feature extraction, and windowing).

To facilitate the acquisition and analysis of the continuous recording of song development of individual birds, we have developed an open source software program that automates much of the data acquisition, feature calculation and database handling-Sound Analysis Pro.

A typical activity recognition chain consists of sensor data acquisition, segmentation, feature extraction, and classification.

Thus, data acquisition, segmentation, feature extraction, and classification are completed on the smart objects and wristband for the local sensing modalities.

As Plamondon and Lorette have stated that the design of a signature verification system generally requires the solution of five types of problems: data acquisition, preprocessing, feature extraction, comparison process, and performance evaluation.

We describe the system architecture from sensor data acquisition to feature extraction, context inference and the publication of context information in web-centered servers that support well-known social networking services.

These challenges include, as in any pattern recognition problem, data acquisition and annotation, feature extraction and finding the most salient features, and building a robust classifier.

During data acquisition, the spectral feature of earth object, however, is easily distorted by noise.

A complete monitoring cycle including data acquisition, signal-processing, feature extraction, pattern recognition through the artificial neural networks, and online video surveillance, is demonstrated.

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