Browsing by Author "John Monahan, Member"
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- Characterizing Spatiotemporal Trends in Amphibian Abundance Using Latent Variable Models.(2012-05-09) Fiske, Ian J; Kevin Gross, Chair; John Monahan, Member; Brian Reich, Member; Leonard Stefanski, Member; Mansoor Haider, Graduate School Representative
- Development of Southern Pine Beetles (Dendroctonous frontalis Zimmerman) in White Pine (Pinus Strobus), a Non-Traditional Host.(2011-07-26) Gardner, Micah; Fred Hain, Chair; John King, Minor; Fred Gould, Member; John Monahan, Member
- Host-Plant Selection by the Hemlock Woolly Adelgid, Adelges tsugae Annand: Sensory Systems and Feeding Behavior in Relation to Physical and Chemical Host-Plant Characteristics.(2011-10-24) Oten, Kelly; Fred Hain, Chair; Lewis Frampton, Minor; John Monahan, Member; John King, Member; Allen Cohen, Member; Robert Jetton, Member; George Allen, Graduate School Representative
- Multi-Systems Operation and Control(2000-04-07) Fenner, Joel S.; Jye-Chyi Lu, Chair; John Monahan, Member; Jackie Hughes-Oliver, Member; William Holton, Member; Robert Burger, MemberThe typical process modeling and control approach of dealingwith each manufacturing process stage in isolation is re-evaluated anda new approach is developed for the case of a series ofprocess stages and the case of several similar processesoperating in parallel at different sites. The serialmulti-stage modeling framework uses the possible correlationbetween stages as a tool to achieve tighter control of anonstationary process line. The case of several similarprocesses operating in parallel at different sites is termedglobal manufacturing. Global manufacturing allows updatedestimation of the sensitivity or slope parameters over thecourse of the process in some cases since the site effectcauses a spread in the range of the inputs. This spreadin the inputs provides an opportunity for stable sensistivityestimates without perturbing the process as is usuallynecessary. The Bayesian parallel site estimation procedure isshown to have broad application to any scenario where thedata is collected at various related but not identical sites.Specifically, uniformity modeling is explored using theBayesian estimation procedure. The multi-systems operation and controlmethodologies developed for the serial and global manufacturingcases provide valuable tools for the improvement ofmanufacturing processes in many industries.
- Neural Networks for Time Series Forecasting: Practical Implications of Theoretical Results.(2010-11-19) Thielbar, Melinda; David Dickey, Chair; Peter Bloomfield, Member; Carl Kelley, Member; John Monahan, Member
- Novel Approaches for Artificial Infestations and Early Resistance Screening of Fraser Fir against the Balsam Woolly Adelgid.(2012-12-06) Newton, Leslie Phelps; Fred Hain, Chair; Lewis Frampton, Co-Chair; Barry Goldfarb, Member; John Monahan, Member; Hugh Devine, Minor
- Safety Effects of the Access Points near Signalized Intersections.(2011-10-27) Jafari, Reza; Joseph Hummer, Chair; John Monahan, Member; Nagui Rouphail, Member; Billy Williams, Member
