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Title: IoGET: Internet of Geophysical and Environmental Things

Abstract

The objective of this project is to provide novel and fast reduced-order models for onboard computation at sensor nodes for real-time analysis. The approach will require that LANL perform high-fidelity numerical simulations, construct simple reduced-order models (ROMs) using machine learning and signal processing algorithms, and use real-time data analysis for ROMs and compressive sensing at sensor nodes.

Authors:
 [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1369163
Report Number(s):
LA-UR-17-25560
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING; 58 GEOSCIENCES

Citation Formats

Mudunuru, Maruti Kumar. IoGET: Internet of Geophysical and Environmental Things. United States: N. p., 2017. Web. doi:10.2172/1369163.
Mudunuru, Maruti Kumar. IoGET: Internet of Geophysical and Environmental Things. United States. doi:10.2172/1369163.
Mudunuru, Maruti Kumar. Mon . "IoGET: Internet of Geophysical and Environmental Things". United States. doi:10.2172/1369163. https://www.osti.gov/servlets/purl/1369163.
@article{osti_1369163,
title = {IoGET: Internet of Geophysical and Environmental Things},
author = {Mudunuru, Maruti Kumar},
abstractNote = {The objective of this project is to provide novel and fast reduced-order models for onboard computation at sensor nodes for real-time analysis. The approach will require that LANL perform high-fidelity numerical simulations, construct simple reduced-order models (ROMs) using machine learning and signal processing algorithms, and use real-time data analysis for ROMs and compressive sensing at sensor nodes.},
doi = {10.2172/1369163},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 10 00:00:00 EDT 2017},
month = {Mon Jul 10 00:00:00 EDT 2017}
}

Technical Report:

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