Engineering topics

Moore, Sean

Publications and source records attributed to Moore, Sean.

3 records

DOE OSTI2018

Summary results of the 2014-2015 DARPA Chikungunya challenge

Here, emerging pathogens such as Zika, chikungunya, Ebola, and dengue viruses are serious threats to national and global health security. Accurate forecasts of emerging epidemics and their severity are critical to minimizing subsequent mortality, morbidity, and economic loss. The recent introduction of chikungunya and Zika virus to the Americas underscores the need for better methods for disease surveillance and forecasting.

60 APPLIED LIFE SCIENCES↗

DOE OSTI2018

Narrow bandwidth detection of vibration signature using fiber lasers

The various technologies presented herein relate to extracting a portion of each pulse in a series of pulses reflected from a target to facilitate determination of a Doppler-shifted frequency for each pulse and, subsequently, a vibration frequency for the series of pulses. Each pulse can have a square-wave configuration, whereby each pulse can be time-gated to facilitate discarding the leading edge and the trailing edge (and associated non-linear effects) of each pulse and accordingly, capture of the central portion of the pulse from which the Doppler-shifted frequency, and ultimately, the vibration frequency of the target can be determined. Determination of the vibration velocity facilitates identification of the target being in a state of motion. The plurality of pulses can be formed from a laser beam (e.g., a continuous wave), the laser beam having a narrow bandwidth.

47 OTHER INSTRUMENTATION↗

DOE OSTI2014

ARM Data File Standards Version: 1.0

The Atmospheric Radiation Measurement (ARM) Climate Research Facility performs routine in situ and remote-sensing observations to provide a detailed and accurate description of the Earth atmosphere in diverse climate regimes. The result is a diverse data sets containing observational and derived data, currently accumulating at a rate of 30 TB of data and 150,000 different files per month (http://www.archive.arm.gov/stats/storage2.html). Continuing the current processing while scaling this to even larger sizes is extremely important to the ARM Facility and requires consistent metadata and data standards. The standards described in this document will enable development of automated analysis and discovery tools for the ever-growing volumes of data. It also will enable consistent analysis of the multiyear data, allow for development of automated monitoring and data health status tools, and facilitate development of future capabilities for delivering data on demand that can be tailored explicitly to user needs. This analysis ability will only be possible if the data follows a minimum set of standards. This document proposes a hierarchy that includes required and recommended standards.

Kehoe, Kenneth↗