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A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal components to identify outliers in the transformed space, leading to significant computational advantages for high dimensional data. This approach requires considerably less(More)
where he received a Ph.D. in chemistry in 1977 under the direction of Prof. Gary Hieftje. At N.C. State, Dr. Boss has worked on the development and characterization of several types of flame and plasma sources for atomic spectroscopy. His present research interests also include the use of computer automation and chemometrics for enhancement of analytical(More)
Accurate monitors are required to determine ambient concentration levels of contaminants emanating from concentrated animal feeding operations (CAFOs), and accurate models are required to indicate the spatial variability of concentrations over regions affected by CAFOs. A thorough understanding of the spatial and temporal variability of concentration levels(More)
Disclaimer This document has been reviewed in accordance with the U.S. Environmental Protection Agency (EPA or the Agency) peer and administrative review policy. It has had extensive peer involvement in development (including other Federal, State, and public involvement), it has completed the formal external technical peer review process, and it has been(More)
An earthquake on March 11, 2011 caused catastrophic damage to Eastern Japan's people, infrastructure and energy markets. This event signified the need for dramatic change towards sustainable energy. The recent Paris Accords on climate change has provided a framework for sustainability development towards CO 2 emission reductions. Therefore, the experiment(More)
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