Paper
19 May 2009 Improving sensor data analysis through diverse data source integration
Jennifer Casper, Ronald Albuquerque, Jeremy Hyland, Peter Leveille, Jing Hu, Eddy Cheung, Dan Mauer, Ronald Couture, Barry Lai
Author Affiliations +
Abstract
Daily sensor data volumes are increasing from gigabytes to multiple terabytes. The manpower and resources needed to analyze the increasing amount of data are not growing at the same rate. Current volumes of diverse data, both live streaming and historical, are not fully analyzed. Analysts are left mostly to analyzing the individual data sources manually. This is both time consuming and mentally exhausting. Expanding data collections only exacerbate this problem. Improved data management techniques and analysis methods are required to process the increasing volumes of historical and live streaming data sources simultaneously. Improved techniques are needed to reduce an analysts decision response time and to enable more intelligent and immediate situation awareness. This paper describes the Sensor Data and Analysis Framework (SDAF) system built to provide analysts with the ability to pose integrated queries on diverse live and historical data sources, and plug in needed algorithms for upstream processing and filtering. The SDAF system was inspired by input and feedback from field analysts and experts. This paper presents SDAF's capabilities, implementation, and reasoning behind implementation decisions. Finally, lessons learned from preliminary tests and deployments are captured for future work.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jennifer Casper, Ronald Albuquerque, Jeremy Hyland, Peter Leveille, Jing Hu, Eddy Cheung, Dan Mauer, Ronald Couture, and Barry Lai "Improving sensor data analysis through diverse data source integration", Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520M (19 May 2009); https://doi.org/10.1117/12.819233
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Databases

Sensors

Java

Visualization

Artificial intelligence

Data integration

Data analysis

Back to Top