Web-based visual data exploration for improved radiological source detection

Journal Article · Fri Jul 07 00:00:00 EDT 2017 · Concurrency and Computation. Practice and Experience

DOI:https://doi.org/10.1002/cpe.4203· OSTI ID:1461119

Weber, Gunther H.  ^[1]; Bandstra, Mark S. ^[2]; Chivers, Daniel H. ^[2]; Elgammal, Hamdy H. ^[2]; Hendrix, Valerie ^[2]; Kua, John ^[2]; Maltz, Jonathan S. ^[2]; Muriki, Krishna ^[2]; Ong, Yeongshnn ^[2]; Song, Kai ^[2]; Quinlan, Michael J. ^[2]; Ramakrishnan, Lavanya ^[2]; Quiter, Brian J. ^[2]

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1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Davis, CA (United States)
2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Radiation detection can provide a reliable means of detecting radiological material. Such capabilities can help to prevent nuclear and/or radiological attacks, but reliable detection in uncontrolled surroundings requires algorithms that account for environmental background radiation. The Berkeley Data Cloud (BDC) facilitates the development of such methods by providing a framework to capture, store, analyze, and share data sets. In the era of big data, both the size and variety of data make it difficult to explore and find data sets of interest and manage the data. Thus, in the context of big data, visualization is critical for checking data consistency and validity, identifying gaps in data coverage, searching for data relevant to an analyst's use cases, and choosing input parameters for analysis. Downloading the data and exploring it on an analyst's desktop using traditional tools are no longer feasible due to the size of the data. This study describes the design and implementation of a visualization system that addresses the problems associated with data exploration within the context of the BDC. Finally, the visualization system is based on a JavaScript front end communicating via REST with a back end web server.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation; Dept. of Homeland Security (DHS) (United States)
• Grant/Contract Number: AC02-05CH11231; IAA HSHQDC-11-X-00380
• OSTI ID: 1461119
• Journal Information: Concurrency and Computation. Practice and Experience, Vol. 29, Issue 18; ISSN 1532-0626
• Publisher: Wiley
• Country of Publication: United States
• Language: English

Related Subjects

96 KNOWLEDGE MANAGEMENT AND PRESERVATION
visualization
databases
data storage and indexing
web-based system
data integration