Many calamities in history like hurricanes, tornado and flooding are proof to the large scale impact they cause to the life and economy. Computer simulation and GIS helps in modeling a real world scenario, which assists in evacuation planning, damage assessment, assistance and reconstruction. For achieving computer simulation and modeling there is a need for accurate classification of ground objects. One of the most significant aspects of this research is that it achieves improved classification for regions within which light detection and ranging (LiDAR) has low spatial resolution. This thesis describes a method for accurate classification of bare ground, water body, roads, vegetation, and structures using LiDAR data and aerial Infrared imagery. The most basic step for any terrain modeling application is filtering which is classification of ground and non-ground points. We present an integrated systematic method that makes classification of terrain and non-terrain points effective. Our filtering method uses the geometric feature of the triangle meshes created from LiDAR samples and calculate the confidence for every point. Geometric homogenous blocks and confidence are derived from TIN model and gridded LiDAR samples. The results from two representations are used in a classifier to determine if the block belongs ground or …

GranCloud is new application for the generation of real-time granular synthesis in the SuperCollider programming environment. Although the software was initially programmed for use in the interactive composition Creo, it was implemented as an independent program for use in any computer music project. GranCloud consists of a set of SuperCollider classes representing granular clouds and parameter objects defining control data for the synthesis. The software is very flexible, allowing users to create their own grain synthesis definitions and control parameters. Cloud objects encapsulate all of the control data and methods necessary to render virtually any type of granular synthesis. Parameter objects provide several simple methods for mapping grain parameters to complex changing data sets or to external data sources. GranCloud simplifies the complex task of generating granular synthesis, allowing composers to focus less on technological issues and more on musical considerations during the compositional process.

This study examines the relationship between social support and youth's high-risk behaviors. The data were obtained from the Midwest Homeless and Runaway Adolescent Project (MHRAP) in 1996. In the Midwestern United States, this study examines the hypothesis that youth with high social support will have low sexual risk behaviors. The study found that youths who had someone to turn to, a greater number of close friends, and someone they could count on were less likely to engage in risky sexual behaviors. The implications of the findings are discussed.

Population estimation in inter-censual years has many important applications. In this research, high-resolution pan-sharpened IKONOS image, LiDAR data, and parcel data are used to estimate small-area population in the eastern part of the city of Denton, Texas. Residential buildings are extracted through object-based classification techniques supported by shape indices and spectral signatures. Three population indicators -building count, building volume and building area at block level are derived using spatial joining and zonal statistics in GIS. Linear regression and geographically weighted regression (GWR) models generated using the three variables and the census data are used to estimate population at the census block level. The maximum total estimation accuracy that can be attained by the models is 94.21%. Accuracy assessments suggest that the GWR models outperformed linear regression models due to their better handling of spatial heterogeneity. Models generated from building volume and area gave better results. The models have lower accuracy in both densely populated census blocks and sparsely populated census blocks, which could be partly attributed to the lower accuracy of the LiDAR data used.

Advanced Placement and dual credit programs are designed for high school students and are used to earn college credit and possibly gain college admissions advantages. The present research examined the impact of participation in one or both programs on four-year college graduation rates. Findings indicated significant differences between the programs as well as with students who did not participate in either program. Students in AP achieved the highest four-year graduation rate, followed by students in dual credit, both programs, and neither program. These findings indicate the need for further study to determine whether the programs substantially contribute to four-year graduation rates and what the implications are.

The purpose of this study is to examine gender bias in sports media from the perspective of the sports columnist. The research analyzed 1,082 sports columns written by ten columnists (five male, five female) at newspapers across the United States. The columns were scrutinized to determine if the column subject was male or female. Results found that 84.4% of the sports columns were written about male athletes or men's sports compared to only 9% devoted to female athletes and women's sports. The research also found that female sports columnists write about female sports 12.7% of the time, while male sports columns only dedicate 6% of their columns to female athletes or women's sports. Newspapers with a larger circulation were more likely to have sports columns about female sports than were newspapers with smaller readerships. Six of the columnists were then interviewed to get their opinions on gender issues in sports journalism.

This study examined incidental receptive and productive vocabulary gains within conversation-class interactions. Eleven Mexican learners of English attended four videotaped conversation lessons where 40 target words were incorporated in different types of exposure. Stimulated recall interviews with students highlighted the effect of cognates, learners' access to passive vocabulary, and use of their vocabulary knowledge in learning related words. Posttests revealed a correlation between frequency and receptive/productive gains. Mean scores showed that words mentioned with synonyms were learned most often, followed by task-essential words and last those mentioned without explanation. A two-way ANCOVA revealed main effects for cognates, and a statistical interaction between cognate status and types of exposure. A statistical correlation was found between receptive and productive gains. Aptitude scores correlated with productive gains but not with receptive gains. The results provide implications for ESL teachers who consider incidental learning of vocabulary within their conversation lessons.

The List is a collection of short stories focusing on the inability to adapt, or learn from self-destructive patterns, and the bizarre ways people reach out for one another when they don't know what else to do.

This thesis describes environmental data collection and transmission from the field to a server using Wi-Fi. Also discussed are components, radio wave propagation, received power calculations, and throughput tests. Measured receive power resulted close to calculated and simulated values. Throughput tests resulted satisfactory. The thesis provides detailed systematic procedures for Wi-Fi radio link setup and techniques to optimize the quality of a radio link.