Soil depth is an important input parameter in hydrological and ecological modeling. Presently, the soil depth data available in national soil databases (STATSGO, SSURGO) is provided as averages within generalized map units. Spatial uncertainty within these units limits their applicability for spatially distributed modeling. This work reports a statistical model for prediction of soil depth in a...

Conceptual models are aimed at providing formal representations of a domain. They are mainly used for the purpose of understanding and communicating about requirements for information systems. Conceptual modeling has acquired a large body of research dealing with the semantics of modeling constructs, with the goal to make models better vehicles for understanding and communication. However, it i...

Spatial intensity distributions of the Laguerre-superGauss modes (1,0) as well a super-Gaussian beam with radial and circular polarization were investigated versus changes in height diffractive axicon. The relief optical element varied from 0.25λ to 3λ. modeling by finite-difference time-domain method showed that variations axicon significantly affect diffraction pattern near field smallest foc...

The concentrations of five hazardous air pollutants were simulated using the community multi-scale air quality (CMAQ) modeling system. Annual simulations were performed over the continental United States for the entire year of 2001 to support human exposure estimates. Results are shown for formaldehyde, acetaldehyde, benzene, 1,3-butadiene and acrolein. Photochemical production in the atmospher...

Phase change memory (PCM) is one of the frontrunners among the emerging non-volatile memory technologies. Even though a Joule-heating-induced phase change mechanism has been demonstrated down to a few nanometer dimensions, a key factor that could possibly limit the scaling trends in a PCM memory array is the thermal cross-talk between adjacent cells. In this article we present a compact electro...

In the context of unsupervised segmentation of noisy images, Minimum Description Length (MDL) polygonal active contour technique based on nonparametric modeling of the noise probability density function (pdf) is promising. This approach allows fast and efficient segmentation of an object without a priori knowledge on the intensity fluctuations. Nevertheless, since the object and background are ...

We propose a general-purpose color-based object model called the Multimodal Neighborhood Signature (MNS) with applications in object recognition and image retrieval. Object modeling is example-based and can cope with many appearance variations due to the image formation/rendering process. The local nature of the color representation facilitates robustness to occlusion and clutter. Unlike other ...

In this work we propose a simultaneous scheduling and control optimization formulation to address both optimal steady-state production and dynamic product transitions in multiproduct tubular reactors working in several parallel production lines. Because the problem involves integer and continuous variables and the dynamic behavior of the underlying system the resulting optimization problem is c...