In FY2020, Savannah River National Laboratory (SRNL) in collaboration with the Discovery Analytics Center (DAC) at Virginia Polytechnic Institute and State University (VT) began developing a demonstration prototype system that uses multiple machine learning and data analytic methods on largescale open data sources to identify new, developing, or undeclared nuclear programs. One of the most challenging aspects of applying machine learning techniques to such a problem is the high likelihood of extremely sparse data from disparate sources. To overcome this challenge, the current work will use a strategic combination of supervised, semi-supervised, and unsupervised learning techniques to ingest and fuse data streams to make a forecast of nuclear activities in a targeted geospatial location. Identifying potential data sources and training supervised learning algorithms is dependent upon the development of a robust foundation of targeted event domains that fundamentally define the nuclear activities of interest. This report documents the definition of a hierarchical structure for both nuclear activity and event domains that will be used to guide the research team in development or use of existing semantic dictionaries that are instrumental to searching, parsing, and categorizing events for the forecasting system's use.
A pilot-scale test of a moving-bed configuration of a UOP IONSIV ® IE-911 ion-exchange column was performed over 17 days at Severn Trent Services facilities. The objectives of the test, in order of priority, were to determine if aluminosilicate precipitation caused clumping of IE-911 particles in the column, to observe the effect on aluminum-hydroxide precipitation of water added to a simulant-filled column, to evaluate the extent of particle attrition, and to measure the expansion of the mass-transfer zone under the influence of column pulsing. The IE-911 moved through the column with no apparent clumping during the test, although analytical results indicate that little if any aluminosilicate precipitated onto the particles. A precipitate of aluminum hydroxide was not produced when water was added to the simulant-filled column, indicating that this upset scenario is probably of little concern. Particle-size distributions remained relatively constant with time and position in the column, indicating that particle attrition was not significant. The expansion of the mass-transfer zone could not be accurately measured because of the slow loading kinetics of the IE-911 and the short duration of the test; however, the information obtained indicates that back-mixing of sorbent is not extensive.
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