Sensors/Data Acquisition

Data Ordering Genetic Optimization (DOGO) System

Ordering data from most to least useful replaces quality flags, improves climate science results, prioritizes images for analysis, and guides analysts for optimal data filtration. NASA’s Jet Propulsion Laboratory, Pasadena, California Observations in modern datasets have a continuum of quality that can be hard to quantify. For example, satellite observations are subject to often-subtle mixtures of confounding forces that distort the observation’s utility to a varying extent. For the Orbiting Carbon Observatory-2 (OCO-2) observatory, effects such as cloud cover, aerosols in the atmosphere, and surface roughness are three major confounding forces that can mildly, heavily, or totally confound an observation’s utility. These complicating factors are not present in a binary fashion: clouds can cover a percentage of the scene, have variable opacity, and differing topology. Arbitrary thresholds are traditionally placed on the presence of such forces to yield a binary good/bad data flag for each observation. By instead generating a data ordering, users are guided towards the most reliable data first, followed by increasingly challenging observations. No harsh on/off threshold is applied to the data, potentially obscuring useful data to one user while leaving in confounded observations to another. Allowing users to create custom filters based on DOGO’s data ordering leaves hard cutoff decisions in the hands of users, guided but not restricted by the project’s expert knowledge.

Posted in: Briefs, Data Acquisition

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Advanced Rapid Imaging and Analysis for Earthquakes

NASA’s Jet Propulsion Laboratory, Pasadena, California Advanced Rapid Imaging and Analysis for Earthquakes (ARIA-EQ) will be the first coordinated effort to automate geodetic imaging capabilities so they can be used for hazard response. The innovation is an automatic geodetic imaging data system that is the foundation for an operational hazard response center that integrates InSAR (interferometric synthetic aperture radar), GPS (Global Positioning System), seismology, and modeling to deliver actionable science and situational awareness products.

Posted in: Briefs, Data Acquisition

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Novel Method to Collect Saliva for Cortisol and DHEA Measurement

This method is noninvasive, rapid, inexpensive, and does not require trained medical personnel, and samples can be stored at room temperature for at least six months. Lyndon B. Johnson Space Center, Houston, Texas Saliva is an easily accessible body fluid containing important biological markers of physiological regulation in the body. The ability to use saliva to monitor the health and disease state of an individual is a highly desirable goal for health promotion and healthcare research. Saliva can reflect tissue levels of some natural substances and a large variety of molecules introduced for therapeutic use, emotional status, hormonal status, immunological status, neurological effects, and nutritional and metabolic status. A major drawback of using saliva as a diagnostic fluid has been that analytes (substances undergoing analysis) are generally present in lower amounts in saliva than in blood.

Posted in: Briefs, Data Acquisition

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Cryogenic Propellant Feed System Analytical Tool

This parametric tool rapidly predicts heat leak into cryogenic propellant distribution lines. Lyndon B. Johnson Space Center, Houston, Texas The Propellant Feed System Analytical Tool (PFSAT) predicts heat leak based on insulation type, installation technique, line supports, penetrations, and instrumentation. It also determines the optimum orifice diameter for an optional thermodynamic vent system (TVS) to counteract heat leak into the feed line, and ensures that the temperature constraints at the end of the feed line are met. PFSAT was developed primarily using Fortran 90 code because of its computational speed and its ability to access directly real fluid property subroutines in the Reference Fluid Thermodynamic and Transport Prop erties (REFPROP) database developed by NIST.

Posted in: Briefs, Data Acquisition

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High-Performance MEMS IMU Solutions for Demanding Applications

For MEMS IMU applications where the inertial profile is complex and highly dynamic, there are a number of attributes to consider when evaluating capabilities. Evaluating these attributes early in the design cycle provides an advantage over chasing open-ended deliverables, like "as accurate as possible."

Posted in: White Papers, Electronics, Data Acquisition, Sensors

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GSPS DACs Enable Ultra-Wide Bandwidth Applications

To meet the increasing capacity demand of mobile customers, the emerging E-band market requires wider bandwidth capabilities compared to traditional microwave backhaul wireless architectures. Due to increased capacity, 2-GHz E-band systems will be needed in the near future. This white paper covers the demands of current E-band point-to-point systems, and how Analog Devices’ high-speed digital-to-analog converters (DACs) provide the necessary bandwidth and sampling frequencies to support them.

Posted in: White Papers, Electronics, Data Acquisition, Sensors

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Executive Perspectives: Data Acquisition & Sensing

GRANT MALOY SMITH President and CEO Dewetron, Inc. Wakefield, RI www.dewamerica.com In 40 years, data acquisition products have evolved from paper-based chart recorders and analog tape machines, to computer-based instruments. As a result, the relatively slow pace of improvements in performance that typified data recorders for nearly a century is now swept along on the fast-moving current of computer technology advances.

Posted in: Articles, Data Acquisition, Sensors

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