BACKGROUND Studies estimating health effects of long-term air pollution exposure often use a two-stage approach: building exposure models to assign individual-level exposures, which are then used in regression analyses. This requires accurate exposure modeling and careful treatment of exposure measurement error. OBJECTIVE To illustrate the importance of accounting for exposure model character...

Most algorithms in computational geometry tend to assume that all input is exact, with no imprecision or error. Most real-world data however, has some imprecision (for example due to measurement error). Thus, there exists a need for algorithms that can produce meaningful output for imprecise input data. In this thesis, I present results on the computation of upper and lower bounds on various ba...

A method for determination of palmitic acid in edible oils by the near-infrared spectroscopy was addressed in this paper. 56 samples were collected in the experiment. In terms of concentration content gradient method, 44 samples were selected for modeling set and 12 for testing set. This paper described the utilization of PLS for establishing a quantitative analysis model for predicting the con...

Accurate quantification of R₂(*) (=1/T₂(*)) is important for many applications in neuroimaging. However, R₂(*) measurements made using conventional multi-echo gradient echo imaging are hampered by macroscopic field inhomogeneities. Several methods for compensation of macroscopic field inhomogeneities have been introduced, most of them requiring increased scan time. In this paper, an R₂(*) estim...

Callus formation occurs in the presence of secondary bone healing and has relevance to the fracture's mechanical environment. An objective image processing algorithm was developed to standardize the quantitative measurement of periosteal callus area in plain radiographs of long bone fractures. Algorithm accuracy and sensitivity were evaluated using surrogate models. For algorithm validation, ca...

Image processing algorithms for individual corn plant and plant stem center identification were developed. These algorithms were applied to mosaicked crop row image for automatically measuring corn plant spacing at early growth stages. These algorithms utilized multiple sources of information for corn plant detection and plant center location estimation including plant color, plant morphologica...