Smart Acquisition EELS

Optimized acquisition parameters and statistical detection limit in quantitative EELS.

Optimizing the acquisition parameters for EELS recording has to be accomplished simultaneously from the physical and the statistical points of view; the statistical aspect of the question is covered here. Approximate probability density functions of the variables of interest are derived, which provide a global measure of signal-to-noise ratio taking into account every step of the EELS edge area...

SMART: System Model Acquisition from Requirements Text

Modeling of a business system has traditionally been based on free text documents. This work describes an elaborate experiment that constitutes a proof of concept to the idea that a system model can be acquired through an automated process whose input is a corpus of technical free text requirement documents and whose output is an OPM model, expressed both graphically, through a set of Object-Pr...

The Data Acquisition in Smart Substation of China

Compressive STEM-EELS

The collection of electron energy loss spectra (EELS) via scanning transmission electron microscopy (STEM) generally requires a specimen to withstand a large radiation dose. Moreover, significant drift can occur while the spectra are collected. Recent advances in electron microscopy have shown that a data reduction of up to 90% is possible for HAADF/ABF imaging and TEM video [1, 2, 3]. These ad...

A Smart Network Sensor System for Distributed, Synchronous Data Acquisition

Typical test and monitoring systems are based on stand-alone instrumentation and require point-to-point analog wiring, which usually results in cumbersome cabling and connectors, bulky instrumentation, susceptibility to EMI/RFI noise pick up, lack of system flexibility, and a compromised signal-to-noise ratio (SNR). This paper describes a smart network sensor solution with multi-drop sensor arc...