Sentence examples for data acquisition method from inspiring English sources

Hence, dynamic site layout planning is difficult without a real-time data acquisition method.

Consequently, careful consideration must be given during the design phase to the choice of data acquisition method and its implication for characterisation and modelling.

The data acquisition method is also simplified, so that the measuring sequences are implemented directly in the PPMS controller computer by programming them in the Quantum Design MultiVu software that controls the PPMS.

A hybrid data acquisition method, namely PIL-triggered collision-induced dissociation-MS2 and high-energy C-trap dissociation-MS3 with dynamic exclusion on a linear ion trap/Orbitrap mass spectrometer, facilitated the acquisition of diverse product ions sufficient for the structural elucidation of both indole alkaloids and the N-oxides.

Wardriving is a data acquisition method for a position estimation system using Wi-Fi, and it is suitable for collecting fingerprint data over a wide range [15].

These database could be categorized on different dimensions including the data acquisition method (online or offline), script, size, or the types of tasks supported.

Based on these activities, research demands in data acquisition, methods and tools in design and life cycle evaluation are presented.

Spear vegetation and a few previous studies encouraged the testing of different photogrammetric technologies and data acquisition methods for the determination of the denudation rate in Istrian badlands.

The Fatigue design approach has been improved in numerous ways: improvement of numerical models, improvement of the Dang Van Fatigue analysis and experimental data acquisition methods.

Because of limitations in the current data acquisition methods in geotechnical engineering tests, the modes are not easily separated and the experimental dispersion data are often corresponding to the effective phase velocity.

The workshop is divided into three parts: (1) reviewing the state of the technology on UAV types, sensor configurations, and data acquisition methods; (2) exploring GIS and remote-sensing software tools for analyzing super-high-resolution spectral data acquired by fixed-wing drones; (3) cross-validating drone products against Lidar data and satellite imagery.