A major challenge in performing quantitative biological studies using Raman spectroscopy lies in overcoming the influence of the dominant sample fluorescence background. Moreover, the prediction accuracy of a calibration model can be severely compromised by the quenching of the endogenous fluorophores due to the introduction of spurious correlations between analyte concentrations and fluorescen...

This paper presents an effective numerical approach for welding process parameter optimization to minimize weld-induced distortion in structures. A numerical optimization framework based on coupled Genetic Algorithm (GA) and Finite Element Analysis (FEA) is developed and implemented for a low and a high fidelity model. Classical weakly coupled thermo-mechanical analysis with thermo-elasto-plast...

The accurate parameterization of moist convection presents a major challenge for the accurate prediction of weather and climate through numerical models. Superparameterization is a promising recent alternative strategy for including the effects of moist convection through explicit turbulent fluxes calculated from a cloud-resolving model. Basic scales for cloud-resolving modeling are the microsc...

In this paper, we discuss the prediction problem based on censored coherent system lifetime data when the system structure is known and the component lifetime follows the proportional reversed hazard model. Different point and interval predictors based on classical and Bayesian approaches are derived. A numerical example is presented to illustrate the prediction methods used in this paper. Mont...

Predictive Kalman filters can be used to predict positions of a mouse when it is operated under some basic assumptions. This prediction can be used to estimate what portions of a larger image an operator wants to view. This paper discusses theory and experimentation being done at the University of Alberta using predictive Kalman filters to provide predictive windows for low bandwidth telepresen...

a quantitative structure-activity relationship (qsar) study was conducted for the prediction of inhibitory activity of 1-phenyl[2h]-tetrahydro-triazine-3-one analogues as inhibitors of 5-lipoxygenase. the inhibitory activities of the 1-phenyl[2h]-tetrahydro-triazine-3-one analogues modeled as a function of molecular structures using chemometrics methods such as multiple linear regression (mlr) ...

Let X1, X2, ..., Xr be the first r order statistics from a sample of size n from the generalized exponential distribution with shape parameter θ. In this paper, we consider a Bayesian approach to predicting future order statistics based on the observed ordered data. The predictive densities are obtained and used to determine prediction intervals for unobserved order statistics for one-sample ...

We examine correlations between student learning and student acoustic-prosodic profiles, which prior research has shown to be predictive of emotional states. We compare these correlations in two corpora of spoken tutoring dialogues: a human-human corpus and a human-computer corpus. Our results suggest that rather than relying on emotion prediction models developed via the more labor-intensive m...

Land surface processes and their initialization are of crucial importance to address the challenge of seamless (from weather to seasonal) Numerical Weather Prediction (NWP). In particular it has been found that soil moisture influences the landatmosphere exchange processes on all relevant time scales. It is therefore expected to be of high interest for NWP applications to assimilate new satelli...