Kenneth L. Holladay

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Human immunodeficiency virus (HIV) infection and acquired immunodeficiency syndrome (AIDS) have dramatically increased the number of persons living with serious immunosuppression. These persons are at risk for infection by previously uncommon organisms such as Pneumocystis carinii and Mycobacterium avium-intracellulm'e complex (MAC). Mycobacterium(More)
FIFTH, a new stack-based genetic programming language, efficiently expresses solutions to a large class of feature recognition problems. This problem class includes mining time-series data, classification of multivariate data, image segmentation, and digital signal processing (DSP). FIFTH is based on FORTH principles. Key features of FIFTH are a single data(More)
For automated surveillance applications, estimating the symbol rate of an unknown digital communication signal is an important step in the analysis process. Several papers have investigated using the wavelet transform in symbol rate estimation algorithms. Due to its complexity, closed form analysis of performance is often limited, and simulations may not(More)
Rapid adaptability is a critical requirement for modern communication intelligence systems. This paper explores the concept of combining model based design with a runtime framework to realize an easily reprogrammable signal analyzer for embedded COMINT systems. Signal processing experts design algorithms using modeling tools tailored to the domain. The(More)
Modeling to predict flame spread and fire growth is an active area of research in Fire Safety Engineering. A significant limitation to current approaches has been the lack of thermophysical material properties necessary for the simplified pyrolysis models embedded within the models. Researchers have worked to derive physical properties such as density,(More)
Dedication This dissertation is dedicated to six most important people in my life. First, To my loving wife Deborah for her selfless and unwavering support through thirty-one years of marriage and nine years of graduate school. Second, to my three wonderful children, Aaron, Miriam, and Benjamin, who are a constant source of joy and inspiration, and finally(More)
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large number of resources simultaneously, which can significantly reduce the elapsed wall clock time per GP run. This paper explores the performance characteristics of an MPI version of(More)
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