Subramania I. Sritharan

CMA-HT: a crowd motion analysis framework based on heat-transfer analog model

Crowd motion analysis covers the detection, tracking, recognition, and behavior interpretation of target group from persistent surveillance video data. This project is dedicated to investigating a crowd motion analysis system based on a heat-transfer-analog model (denoted as CMA-HT for simplicity), and a generic modeling and simulation framework describing crowd motion behavior. CMA-HT is formulated by coupling the statistical analysis of crowds historical behavior at a given location, geographic information system, and crowd motion dynamics. The mathematical derivation of the CMA-HT model and the innovative methods involved in the frameworks implementation will be discussed in detail. Using the sample video data collected by Central Florida University as benchmark, CMA-HT is employed to measure and identify anomalous personnel or group responses in the video.

Effects of uncertainties on the limits of on‐farm improvement in irrigation rehabilitation

Procedures for analyzing the effects of uncertainties on the on-farm time of application and applied depth of irrigation have been presented using two parameter-gamma densities for the different variables. The critical coefficient of variation (CV) in delivered farm flow rate beyond which variations in targeted depths cause more deviations in time of application is found to be 0.25. For a typical set of values for on-farm variables, reducing the CV of farm flow below 0.12 does not improve the variance in applied depth for the case of fixed CV values of 0.10 for farm area and time of application. A distribution function for time of application has been derived which will enable the computation of reliable levels of application time. Solving the yield problems considering the application system hydraulics in a deterministic mode does not lead to large errors when the variances in the on-farm variables do not exceed 0.20. Generally, for shorter basins which are common in many countries, higher efficiencies can be achieved. Efficiencies less than 85% begin to occur when the length of the basin exceeds 275 ft (84 m) for typical values of field parameters in soils belonging to the Soil Conservation Service infiltration family of 3.0.

Application of GIS in Evaluating the Potential Impacts of Land Application of Biosolids on Human Health

This chapter describes the development and use of a geographic information system (GIS) in an environmental health investigation of the application of Class B biosolids (sewage sludge) on agricultural fields. The research project is broad-based including field observations and modeling to investigate the presence of microorganisms, metals, and pharmaceutical and personal care products (PPCPs) in biosolids applied agricultural fields and the associated runoff. These data has been linked with remote sensing imagery and added to GIS layers for Wood, Lucas and Greene Counties in Ohio. Specifically, this project describes the way in which a GIS was developed and utilized with a mailed, epidemiological health survey to investigate the potential impact of biosolids application to agricultural fields in relation to self-reported human health symptoms, acute diseases and chronic diseases among groups of individuals living specified distances from fields where biosolids were permitted and applied. For Wood County, of the 24 symptoms in the survey, six were statistically higher near biosolids permitted fields and of the 29 diseases in the survey, five were statistically higher near biosolids permitted fields. The Lucas and Greene County surveys are still being analyzed. Our future work includes refinement of the spatial analysis and health survey to include the application of biosolids and the constituents of the biosolids to fields, distances to any farm field and to other potential relationships to health effects.